{
  "schema_version": "1.2",
  "url": "https://trustbutveri.fyi/explorer/?mechanisms=M-0003,M-0007&implementations=M-0003:I-0011",
  "data_generated": "2026-10-08",
  "definitions": {
    "methodology": "https://trustbutveri.fyi/about/methodology/",
    "readiness": "https://trustbutveri.fyi/about/readiness/",
    "filters": [
      {
        "id": "prover",
        "label": "Prover",
        "question": "How far can the party being checked be trusted?",
        "options": [
          {
            "value": "cooperative",
            "label": "Cooperative"
          },
          {
            "value": "semi-trusted",
            "label": "Semi-trusted"
          },
          {
            "value": "adversarial",
            "label": "Adversarial"
          }
        ],
        "rule": "Keeps mechanisms whose threat model holds against at least this prover. Adversarial is the strongest assumption.",
        "about": "The prover is the party being checked. Semi-trusted designs rely on part of its stack: usually the chip vendor's hardware root of trust, its firmware or counters, or its supply-chain records. Adversarial designs aim to hold even if it cheats wherever the checks allow, within their stated assumptions."
      },
      {
        "id": "onsite",
        "label": "Verifier devices on site",
        "question": "May the verifier install its own hardware at the prover's sites?",
        "options": [
          {
            "value": "no",
            "label": "Not allowed"
          }
        ],
        "rule": "\"Not allowed\" removes mechanisms that need a retrofit device, such as a network tap or a sealed sensor.",
        "about": "Some mechanisms need a device the verifier owns or trusts at the prover's facility, such as a network tap, a bandwidth limiter or a sealed sensor. Choose Not allowed when the setting rules that out. Inspectors are not covered."
      },
      {
        "id": "coop",
        "label": "Prover cooperation",
        "question": "How much must the prover take part?",
        "options": [
          {
            "value": "partial",
            "label": "Partial at most"
          },
          {
            "value": "none",
            "label": "Not required"
          }
        ],
        "rule": "\"Partial at most\" removes mechanisms that need the prover's active participation. \"Not required\" keeps only those that work without it.",
        "about": "Required: the prover takes part, for example by logging requests, producing proofs or opening records. Partial: some access, such as installing a device. Not required: works from outside, such as satellite imagery."
      },
      {
        "id": "chips",
        "label": "Chips",
        "question": "May the proposal depend on new chip designs?",
        "options": [
          {
            "value": "existing",
            "label": "Existing chips only"
          }
        ],
        "rule": "\"Existing chips only\" removes mechanisms that need changes to future chip designs.",
        "about": "New chip features take years to reach a deployed fleet and cover only chips made after they ship. Mechanisms that use shipping features, such as trusted execution environments or performance counters, stay."
      },
      {
        "id": "ready",
        "label": "Minimum readiness",
        "question": "How mature must each mechanism be?",
        "options": [
          {
            "value": "R1",
            "label": "R1 Proposed"
          },
          {
            "value": "R2",
            "label": "R2 Demonstrated"
          },
          {
            "value": "R3",
            "label": "R3 In production"
          },
          {
            "value": "R4",
            "label": "R4 Deployment-ready"
          }
        ],
        "rule": "Keeps mechanisms whose readiness level is at least this one.",
        "about": "A level describes the public evidence for a mechanism's stated use, not its cost or feasibility. R3 can still have open critical flaws."
      },
      {
        "id": "tested",
        "label": "Attack testing",
        "question": "How hard has each mechanism been attacked in public?",
        "options": [
          {
            "value": "analysis",
            "label": "Published analysis"
          },
          {
            "value": "red-teamed",
            "label": "Red-teamed"
          },
          {
            "value": "independent-red-team",
            "label": "Independent red-team"
          }
        ],
        "rule": "Keeps mechanisms whose strongest published attack testing is at least this.",
        "about": "The strongest published attempt to break the mechanism for its verification use: a security analysis, red-teaming by its developers or collaborators, or a red team independent of them."
      },
      {
        "id": "hide",
        "label": "Keep hidden from the verifier",
        "question": "What must the verifier never see?",
        "options": [
          {
            "value": "weights",
            "label": "Model weights"
          },
          {
            "value": "io",
            "label": "Inputs and outputs"
          },
          {
            "value": "training",
            "label": "Training data"
          }
        ],
        "rule": "Removes mechanisms that show the asset to the verifier. Conditional or unspecified exposure stays with a note and needs checking against the privacy requirement.",
        "about": "Model weights: the checked model's parameters. Inputs and outputs: the requests a deployed model serves and its responses. Training data: what a model was trained on. Each mechanism's exposure is the editors' reading of its record: shown, depends on the design (kept, with a note), hidden, not involved, or unspecified for a selected implementation. Code and configuration are not covered yet."
      }
    ],
    "exposure": "For model weights, inputs and outputs, and training data. This is the editors' reading of each mechanism's record (its threat model, how it works and its limitations), not a field of the record. Shown: the verifier sees it. Depends: on the design or variant, or the verifier sees only samples. Hidden: the verifier sees only commitments, hashes, proofs or results. Not involved: the record does not handle it. Unspecified: the selected implementation has no asset-specific assessment here.",
    "claim_status": {
      "addressed": "A mechanism in the proposal is aimed at this claim and is not excluded by the filters.",
      "partly-addressed": "Only supporting mechanisms, or mechanisms aimed at it that the filters exclude.",
      "unaddressed": "No mechanism in the proposal addresses this claim."
    },
    "finding_scope": "Evidence scope describes where a finding was demonstrated; it does not establish applicability to every implementation in the mechanism family.",
    "claim_finding_scope": "open_critical_findings names active findings on the assessed records; open_critical_context names conditional family findings whose implementation applicability is unassessed.",
    "legacy_status": "The status field retains covered/partial/none for compatibility. It names claim links, never successful verification. Use claim_status and status_label for presentation."
  },
  "filters": {
    "prover": "",
    "onsite": "",
    "coop": "",
    "chips": "",
    "ready": "",
    "tested": "",
    "hide": []
  },
  "mechanisms_passing_filters": 25,
  "claims": [],
  "mechanisms": [
    {
      "id": "M-0003",
      "title": "Whole-workload recomputation (reproducible packets)",
      "url": "https://trustbutveri.fyi/mechanisms/reproducible-computation-packets/",
      "assessment_record": {
        "id": "I-0011",
        "title": "AI 2040 inference-only verification stack",
        "url": "https://trustbutveri.fyi/implementations/ai-2040-inference-only-verification-plan/"
      },
      "selected_implementation": {
        "id": "I-0011",
        "title": "AI 2040 inference-only verification stack",
        "url": "https://trustbutveri.fyi/implementations/ai-2040-inference-only-verification-plan/"
      },
      "readiness": {
        "level": "R1",
        "scope": "showing that retrofitted data centres run only inference",
        "confidence": "medium",
        "evidence": [
          "S-0067",
          "S-1511",
          "S-1512",
          "S-1008",
          "S-1312"
        ]
      },
      "assessed_properties": {
        "threat_model": "adversarial",
        "hardware_requirement": "retrofit-device",
        "prover_cooperation": "required",
        "adversarial_evaluation": "none"
      },
      "claims": [],
      "exposure": {
        "weights": "unknown",
        "io": "unknown",
        "training": "unknown",
        "note": "This Explorer has no asset-specific exposure assessment for this implementation. Check its source and deployment assumptions.",
        "sources": []
      },
      "family_finding_context": [
        {
          "n": 1,
          "title": "Spare compute is outside the scheme",
          "kind": "theoretical-argument",
          "severity": "significant",
          "status": "open",
          "evidence_scope": null,
          "scope_note": null,
          "related_finding": null,
          "description": "The plan states that it does not verify that spare compute is not used for unapproved workloads, because this seems very challenging. Recomputation checks the correctness of declared work, not its completeness.",
          "response": null,
          "sources": [
            "S-0067",
            "S-0017"
          ],
          "helps": [
            {
              "by": "M-0007",
              "how": "Proposed as one input to accounting for spare capacity on declared hardware."
            }
          ],
          "record": "M-0003",
          "represented_by": []
        },
        {
          "n": 2,
          "title": "Non-compliant work could be encoded inside compliant-looking packets",
          "kind": "theoretical-argument",
          "severity": "significant",
          "status": "open",
          "evidence_scope": null,
          "scope_note": null,
          "related_finding": null,
          "description": "The plan notes that an AI company might try to encode a non-compliant workload inside a workload that looks compliant on the surface.",
          "response": null,
          "sources": [
            "S-0067"
          ],
          "record": "M-0003",
          "represented_by": []
        }
      ],
      "filter_issues": []
    },
    {
      "id": "M-0007",
      "title": "Proofs of useful work for capacity accounting",
      "url": "https://trustbutveri.fyi/mechanisms/proofs-of-useful-work/",
      "assessment_record": {
        "id": "M-0007",
        "title": "Proofs of useful work for capacity accounting",
        "url": "https://trustbutveri.fyi/mechanisms/proofs-of-useful-work/"
      },
      "selected_implementation": null,
      "readiness": {
        "level": "R1",
        "scope": "bounding the spare capacity of declared hardware that could run training",
        "confidence": "low",
        "evidence": [
          "S-1102",
          "S-0005",
          "S-1609",
          "S-1105",
          "S-1107"
        ]
      },
      "assessed_properties": {
        "threat_model": "adversarial",
        "hardware_requirement": "none",
        "prover_cooperation": "required",
        "adversarial_evaluation": "analysis"
      },
      "claims": [],
      "exposure": {
        "weights": "partial",
        "io": "partial",
        "training": "none",
        "note": "Checking a sampled tile of a matrix multiplication reveals that tile, which may hold model or input data; the authors suggest a zero-knowledge proof when the matrices must stay private."
      },
      "family_finding_context": [],
      "filter_issues": []
    }
  ],
  "strengths": {
    "covered": [],
    "production": [],
    "adversarial": [
      "M-0003",
      "M-0007"
    ],
    "noNewHardware": [
      "M-0007"
    ],
    "mitigated": [],
    "notCounted": []
  },
  "properties": {
    "covered": [],
    "production": [],
    "adversarial": [
      "M-0003",
      "M-0007"
    ],
    "noNewHardware": [
      "M-0007"
    ],
    "mitigated": [],
    "notCounted": []
  },
  "attack_testing": [
    {
      "id": "M-0007",
      "record": "M-0007",
      "evaluation": "analysis",
      "in_setting": true
    }
  ],
  "selected_implementations": {
    "M-0003": "I-0011"
  },
  "weaknesses": {
    "gaps": [],
    "excluded": [],
    "unlinked": [],
    "critical": [],
    "significant": [
      {
        "mech": "M-0003",
        "n": 1,
        "title": "The recomputation server must be trusted",
        "kind": "theoretical-argument",
        "severity": "significant",
        "status": "open",
        "evidence_scope": null,
        "scope_note": null,
        "related_finding": null,
        "description": "The plan calls the integrity of the recomputation server an extremely important aspect, and its argument that sampling verifies all outputs assumes that the server's computations and outputs can be trusted. The companion page notes that the server sits inside the prover's facility, possibly under the prover's physical control, and that hardening it against integrity attacks needs significant research. Amodo rates recomputation-server security as not on track.",
        "response": null,
        "sources": [
          "S-0067",
          "S-1511",
          "S-1008"
        ],
        "record": "I-0011"
      },
      {
        "mech": "M-0003",
        "n": 2,
        "title": "Spare compute is not verified",
        "kind": "theoretical-argument",
        "severity": "significant",
        "status": "open",
        "evidence_scope": null,
        "scope_note": null,
        "related_finding": null,
        "description": "The plan states that it does not verify that spare compute is unused for unapproved workloads, because this seems very challenging. It relies instead on side-channel bounds and memory wipes, so that the only results that persist are verified inference outputs.",
        "response": null,
        "sources": [
          "S-0067"
        ],
        "record": "I-0011"
      },
      {
        "mech": "M-0003",
        "n": 3,
        "title": "A recomputation family degrades against prompt-controlling adversaries",
        "kind": "demonstrated-attack",
        "severity": "significant",
        "status": "open",
        "evidence_scope": null,
        "scope_note": null,
        "related_finding": null,
        "description": "The plan's companion page names DiFR among the recomputation schemes being tested. An independent study found that Gumbel-based inference verification, the family that includes Token-DiFR, leaks roughly twice as many bits per token when the adversary chooses prompts that disrupt the text's structure, across six models of 1 to 32 billion parameters. The slowdown it imposes on a hidden-signalling adversary falls from 146–254 times under benign prompts to 60–118 times. The attack weakens the bound on hidden information in outputs, which the plan relies on to keep undeclared results from leaving.",
        "response": null,
        "sources": [
          "S-1511",
          "S-0015",
          "S-1507",
          "S-0067"
        ],
        "record": "I-0011"
      },
      {
        "mech": "M-0007",
        "n": 1,
        "title": "Proves that work was done, not that no capacity remains",
        "kind": "theoretical-argument",
        "severity": "significant",
        "status": "open",
        "evidence_scope": null,
        "scope_note": null,
        "related_finding": null,
        "description": "Proof-of-work accounting bounds unmonitored compute only relative to an estimate of what the actor has. Attestable states that the verifier \"needs a credible estimate of the compute available\" to the actor, and that a proof \"cannot discover a datacenter that was never declared\".",
        "response": null,
        "sources": [
          "S-1102"
        ],
        "helps": [
          {
            "by": "M-0019",
            "how": "A registry of chips is one basis for the estimate of available compute that the flaw's source says the verifier needs."
          },
          {
            "by": "M-0020",
            "how": "Looks for data centres that were never declared, which a proof cannot discover."
          }
        ]
      },
      {
        "mech": "M-0007",
        "n": 2,
        "title": "Security rests on new hardness assumptions",
        "kind": "open-question",
        "severity": "significant",
        "status": "open",
        "evidence_scope": null,
        "scope_note": null,
        "related_finding": null,
        "description": "Komargodski and Weinstein base security on hardness assumptions about batches of low-rank random linear equations, and list PoUW \"from more standard or well-studied assumptions\" as an open problem. Pearl's floating-point variant introduces a further \"quantized-subspace hardness\" assumption.",
        "response": null,
        "sources": [
          "S-1609",
          "S-1105"
        ]
      },
      {
        "mech": "M-0007",
        "n": 3,
        "title": "Known shortcuts let a miner claim somewhat more work than it did",
        "kind": "theoretical-argument",
        "severity": "significant",
        "status": "open",
        "evidence_scope": null,
        "scope_note": null,
        "related_finding": null,
        "description": "Pearl's specification lists known mining speedups: crafted inputs, precision shortcuts, seed grinding, work reuse, and faster kernels or hardware. A policy check caps the summands a miner may skip at one-sixteenth of those in a tile. For capacity bounding, any gap between work proven and work possible leaves spare capacity.",
        "response": null,
        "sources": [
          "S-1105"
        ]
      }
    ],
    "criticalMechanisms": [],
    "significantMechanisms": [
      "M-0003",
      "M-0007"
    ],
    "familyContext": [
      {
        "id": "M-0003",
        "implementation": "I-0011",
        "flaws": [
          {
            "n": 1,
            "title": "Spare compute is outside the scheme",
            "kind": "theoretical-argument",
            "severity": "significant",
            "status": "open",
            "evidence_scope": null,
            "scope_note": null,
            "related_finding": null,
            "description": "The plan states that it does not verify that spare compute is not used for unapproved workloads, because this seems very challenging. Recomputation checks the correctness of declared work, not its completeness.",
            "response": null,
            "sources": [
              "S-0067",
              "S-0017"
            ],
            "helps": [
              {
                "by": "M-0007",
                "how": "Proposed as one input to accounting for spare capacity on declared hardware."
              }
            ],
            "record": "M-0003",
            "represented_by": []
          },
          {
            "n": 2,
            "title": "Non-compliant work could be encoded inside compliant-looking packets",
            "kind": "theoretical-argument",
            "severity": "significant",
            "status": "open",
            "evidence_scope": null,
            "scope_note": null,
            "related_finding": null,
            "description": "The plan notes that an AI company might try to encode a non-compliant workload inside a workload that looks compliant on the surface.",
            "response": null,
            "sources": [
              "S-0067"
            ],
            "record": "M-0003",
            "represented_by": []
          }
        ]
      }
    ],
    "minor": 0,
    "minorFindings": [],
    "minorBy": [],
    "notDemonstrated": [
      "M-0003",
      "M-0007"
    ],
    "newChip": []
  },
  "findings": [
    {
      "mech": "M-0003",
      "record": "I-0011",
      "n": 1,
      "title": "The recomputation server must be trusted",
      "kind": "theoretical-argument",
      "severity": "significant",
      "status": "open",
      "evidence_scope": null,
      "scope_note": null,
      "related_finding": null,
      "description": "The plan calls the integrity of the recomputation server an extremely important aspect, and its argument that sampling verifies all outputs assumes that the server's computations and outputs can be trusted. The companion page notes that the server sits inside the prover's facility, possibly under the prover's physical control, and that hardening it against integrity attacks needs significant research. Amodo rates recomputation-server security as not on track.",
      "response": null,
      "sources": [
        "S-0067",
        "S-1511",
        "S-1008"
      ]
    },
    {
      "mech": "M-0003",
      "record": "I-0011",
      "n": 2,
      "title": "Spare compute is not verified",
      "kind": "theoretical-argument",
      "severity": "significant",
      "status": "open",
      "evidence_scope": null,
      "scope_note": null,
      "related_finding": null,
      "description": "The plan states that it does not verify that spare compute is unused for unapproved workloads, because this seems very challenging. It relies instead on side-channel bounds and memory wipes, so that the only results that persist are verified inference outputs.",
      "response": null,
      "sources": [
        "S-0067"
      ]
    },
    {
      "mech": "M-0003",
      "record": "I-0011",
      "n": 3,
      "title": "A recomputation family degrades against prompt-controlling adversaries",
      "kind": "demonstrated-attack",
      "severity": "significant",
      "status": "open",
      "evidence_scope": null,
      "scope_note": null,
      "related_finding": null,
      "description": "The plan's companion page names DiFR among the recomputation schemes being tested. An independent study found that Gumbel-based inference verification, the family that includes Token-DiFR, leaks roughly twice as many bits per token when the adversary chooses prompts that disrupt the text's structure, across six models of 1 to 32 billion parameters. The slowdown it imposes on a hidden-signalling adversary falls from 146–254 times under benign prompts to 60–118 times. The attack weakens the bound on hidden information in outputs, which the plan relies on to keep undeclared results from leaving.",
      "response": null,
      "sources": [
        "S-1511",
        "S-0015",
        "S-1507",
        "S-0067"
      ]
    },
    {
      "mech": "M-0007",
      "record": "M-0007",
      "n": 1,
      "title": "Proves that work was done, not that no capacity remains",
      "kind": "theoretical-argument",
      "severity": "significant",
      "status": "open",
      "evidence_scope": null,
      "scope_note": null,
      "related_finding": null,
      "description": "Proof-of-work accounting bounds unmonitored compute only relative to an estimate of what the actor has. Attestable states that the verifier \"needs a credible estimate of the compute available\" to the actor, and that a proof \"cannot discover a datacenter that was never declared\".",
      "response": null,
      "sources": [
        "S-1102"
      ],
      "helps": [
        {
          "by": "M-0019",
          "how": "A registry of chips is one basis for the estimate of available compute that the flaw's source says the verifier needs."
        },
        {
          "by": "M-0020",
          "how": "Looks for data centres that were never declared, which a proof cannot discover."
        }
      ]
    },
    {
      "mech": "M-0007",
      "record": "M-0007",
      "n": 2,
      "title": "Security rests on new hardness assumptions",
      "kind": "open-question",
      "severity": "significant",
      "status": "open",
      "evidence_scope": null,
      "scope_note": null,
      "related_finding": null,
      "description": "Komargodski and Weinstein base security on hardness assumptions about batches of low-rank random linear equations, and list PoUW \"from more standard or well-studied assumptions\" as an open problem. Pearl's floating-point variant introduces a further \"quantized-subspace hardness\" assumption.",
      "response": null,
      "sources": [
        "S-1609",
        "S-1105"
      ]
    },
    {
      "mech": "M-0007",
      "record": "M-0007",
      "n": 3,
      "title": "Known shortcuts let a miner claim somewhat more work than it did",
      "kind": "theoretical-argument",
      "severity": "significant",
      "status": "open",
      "evidence_scope": null,
      "scope_note": null,
      "related_finding": null,
      "description": "Pearl's specification lists known mining speedups: crafted inputs, precision shortcuts, seed grinding, work reuse, and faster kernels or hardware. A policy check caps the summands a miner may skip at one-sixteenth of those in a tile. For capacity bounding, any gap between work proven and work possible leaves spare capacity.",
      "response": null,
      "sources": [
        "S-1105"
      ]
    }
  ],
  "possible_additions": [
    {
      "id": "M-0019",
      "title": "Chip registries and manufacturing records",
      "url": "https://trustbutveri.fyi/mechanisms/chip-registries-and-manufacturing-records/",
      "readiness": "R1",
      "fits_filters": true,
      "filter_issues": [],
      "reasons": [
        {
          "kind": "flaw",
          "mech": "M-0007",
          "n": 1,
          "title": "Proves that work was done, not that no capacity remains",
          "severity": "significant",
          "how": "A registry of chips is one basis for the estimate of available compute that the flaw's source says the verifier needs."
        }
      ]
    },
    {
      "id": "M-0020",
      "title": "Remote detection of data centres",
      "url": "https://trustbutveri.fyi/mechanisms/remote-detection-of-data-centres/",
      "readiness": "R1",
      "fits_filters": true,
      "filter_issues": [],
      "reasons": [
        {
          "kind": "flaw",
          "mech": "M-0007",
          "n": 1,
          "title": "Proves that work was done, not that no capacity remains",
          "severity": "significant",
          "how": "Looks for data centres that were never declared, which a proof cannot discover."
        }
      ]
    },
    {
      "id": "M-0017",
      "title": "Tamper evidence for verifier devices",
      "url": "https://trustbutveri.fyi/mechanisms/tamper-evidence-for-verifier-devices/",
      "readiness": "R2",
      "fits_filters": true,
      "filter_issues": [],
      "reasons": [
        {
          "kind": "blocker",
          "mech": "M-0003",
          "text": "Checking that taps are correctly installed and stay in place at scale is not a solved problem, and hardening the recomputation server inside the prover's facility needs significant research."
        }
      ]
    },
    {
      "id": "M-0015",
      "title": "Memory wiping and proofs of secure erasure",
      "url": "https://trustbutveri.fyi/mechanisms/memory-wiping-and-secure-erasure/",
      "readiness": "R1",
      "fits_filters": true,
      "filter_issues": [],
      "reasons": [
        {
          "kind": "blocker",
          "mech": "M-0003",
          "text": "Memory wiping may use existing algorithms, but hardware testing is at an early stage."
        }
      ]
    },
    {
      "id": "M-0013",
      "title": "Network taps and certifiers",
      "url": "https://trustbutveri.fyi/mechanisms/network-taps-and-certifiers/",
      "readiness": "R1",
      "fits_filters": true,
      "filter_issues": [],
      "reasons": [
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        "text": "Checking that taps are correctly installed and stay in place at scale is not a solved problem, and hardening the recomputation server inside the prover's facility needs significant research.",
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      "id": "S-0067",
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      "id": "S-1511",
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    {
      "id": "S-1512",
      "title": "Verifying international AI deals: Plan A, the state-of-play, and what you can do to help",
      "authors": "T. Milton et al.",
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      "path": "/sources/milton-verifying-international-ai-deals/"
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      "id": "S-1008",
      "title": "AI 2040 Plan A — Verification SITREP",
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      "id": "S-1312",
      "title": "Fitting a Network TAP to our Inference Verification Prototype",
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      "id": "S-0015",
      "title": "Verifying LLM Inference to Detect Model Weight Exfiltration",
      "authors": "R. Rinberg et al.",
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      "id": "S-1507",
      "title": "Adversarial Entropy Inflation Against Gumbel-Based Inference Verification",
      "authors": "N. Kezins",
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      "url": "https://arxiv.org/abs/2608.23375",
      "path": "/sources/kezins-adversarial-entropy-inflation/"
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      "id": "S-0017",
      "title": "Example Schemes for Verifying High-Stakes AI Agreements",
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      "year": 2026,
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      "id": "S-1102",
      "title": "Pacing AI Requires Proof",
      "authors": "Attestable",
      "year": 2026,
      "url": "https://attestable.com/blog/pacing-ai-requires-proof",
      "path": "/sources/attestable-pacing-ai-requires-proof/"
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    {
      "id": "S-0005",
      "title": "Mechanisms to Verify International Agreements About AI Development",
      "authors": "A. Scher & L. Thiergart",
      "year": 2025,
      "url": "https://arxiv.org/abs/2506.15867",
      "path": "/sources/scher-mechanisms-verify-ai-agreements/"
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    {
      "id": "S-1609",
      "title": "Proofs of Useful Work from Arbitrary Matrix Multiplication",
      "authors": "I. Komargodski & O. Weinstein",
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      "url": "https://arxiv.org/abs/2504.09971",
      "path": "/sources/komargodski-proofs-useful-work-matrix-multiplication/"
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      "id": "S-1105",
      "title": "Pearl Floating Point Scheme Specification",
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      "year": 2026,
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      "path": "/sources/pearl-floating-point-scheme-specification/"
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    {
      "id": "S-1107",
      "title": "pearl: Monorepo for the Pearl network",
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      "year": 2026,
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  ]
}