{
  "generated_at": "2026-07-05T10:15:57+00:00",
  "discipline": "cs-ai",
  "category": "research-harnesses",
  "verdict": "needs work",
  "submission_readiness": "blocked",
  "blocking_findings": [
    "2 evidence row(s) have unclear source depth; mark them full-text verified or preliminary.",
    "2 preliminary-linked claim(s) remain; do not promote to final support.",
    "Brief mixes supported and preliminary-linked claims; make final vs draft language explicit.",
    "Paper mentions 'peer-reviewed' without an explicit disclaimer that the draft itself is not peer-reviewed.",
    "1 full-text supported row(s) do not surface their source_quote in the paper body: 2603.28589v1.",
    "Demo proof score 0.75 below required floor 0.8 (6/8 claims independently re-verified against cached PDFs).",
    "Claim not independently re-verified: 2504.08066v1 (overlap=1.0, substring=True).",
    "Claim not independently re-verified: 2506.01372v2 (overlap=1.0, substring=False).",
    "correctness detail: 2504.08066v1: missing source_quote/page/checked_at",
    "correctness detail: 2506.01372v2: missing source_quote/page/checked_at"
  ],
  "require_submission_ready": false,
  "min_evidence": 5,
  "min_full_text": 1,
  "evidence_profile": {
    "filled": 8,
    "full_text_verified": 6,
    "preliminary": 0,
    "unclear": 2
  },
  "rounds": [
    {
      "round": 1,
      "name": "Ledger integrity",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "claim_rows=8",
        "supported_claims=6",
        "preliminary_claims=2",
        "filled_evidence_rows=8",
        "This round checks structure and status calibration: supported means full-text verified; preliminary-linked means traceable draft evidence."
      ]
    },
    {
      "round": 2,
      "name": "Evidence depth and numerical discipline",
      "verdict": "needs work",
      "issues": [],
      "warnings": [
        "2 evidence row(s) have unclear source depth; mark them full-text verified or preliminary."
      ],
      "notes": [
        "full_text_verified=6/8",
        "preliminary_or_abstract=0/8",
        "unclear_source_depth=2/8"
      ]
    },
    {
      "round": 3,
      "name": "Paper quality and framing",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "paper=workspace/cs-ai/research-harnesses/paper/main.md",
        "finding_sections=3",
        "filled_evidence_rows=8"
      ]
    },
    {
      "round": 4,
      "name": "Coverage, taxonomy leakage, and missing-literature risk",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "triage_rows=8",
        "claimed_evidence_rows=8",
        "target_categories=cs.AI, cs.LG, cs.SE",
        "Coverage gaps still require human/domain reviewer search beyond arXiv metadata."
      ]
    },
    {
      "round": 5,
      "name": "Claim calibration and submission readiness",
      "verdict": "needs work",
      "issues": [],
      "warnings": [
        "2 preliminary-linked claim(s) remain; do not promote to final support.",
        "Brief mixes supported and preliminary-linked claims; make final vs draft language explicit."
      ],
      "notes": [
        "claim_rows=8",
        "supported_claims=6",
        "preliminary_claims=2",
        "draft_only_claims=0",
        "unsupported_claims=0"
      ]
    },
    {
      "round": 6,
      "name": "Positive-signal floor",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "numeric_result_rows=7/8 (floor=2)",
        "comparative_rows=8/8 (floor=1)",
        "unique_cited_papers=8 (floor=3)",
        "correctness_score=0.793 (floor=0.5)",
        "novelty_score=0.979 (floor=0.35)"
      ]
    },
    {
      "round": 7,
      "name": "Academic format and scholarly correctness",
      "verdict": "needs work",
      "issues": [],
      "warnings": [
        "Paper mentions 'peer-reviewed' without an explicit disclaimer that the draft itself is not peer-reviewed.",
        "1 full-text supported row(s) do not surface their source_quote in the paper body: 2603.28589v1."
      ],
      "notes": [
        "paper=workspace/cs-ai/research-harnesses/paper/main.md",
        "abstract_words=131",
        "total_words=3836",
        "references_listed=8",
        "missing_format_sections=none"
      ]
    },
    {
      "round": 8,
      "name": "Demo and proof (independent re-verification)",
      "verdict": "needs work",
      "issues": [],
      "warnings": [
        "Demo proof score 0.75 below required floor 0.8 (6/8 claims independently re-verified against cached PDFs).",
        "Claim not independently re-verified: 2504.08066v1 (overlap=1.0, substring=True).",
        "Claim not independently re-verified: 2506.01372v2 (overlap=1.0, substring=False)."
      ],
      "notes": [
        "demo=workspace/cs-ai/research-harnesses/paper/demo.py",
        "proof=workspace/cs-ai/research-harnesses/paper/proof.json",
        "proof_score=0.75",
        "passed=6/8",
        "verdict=pass"
      ]
    },
    {
      "round": 9,
      "name": "Direction coherence (anti-boilerplate-leak)",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "direction_id=unknown",
        "family=agents",
        "keywords_checked=0",
        "keyword_hits=0",
        "cross_family_leaks=0"
      ]
    },
    {
      "round": 10,
      "name": "Research-value (gap/contradiction/surprise/recency)",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "value_score=0.944 threshold=0.35",
        "gap_count=120 contradictions=30 surprises=43 recent_papers=5/8",
        "components gap=1.0 contradiction=1.0 surprise=1.0 recency=0.625"
      ],
      "value_score": 0.944,
      "value_breakdown": {
        "score": 0.944,
        "components": {
          "gap": 1.0,
          "contradiction": 1.0,
          "surprise": 1.0,
          "recency": 0.625
        },
        "evidence": {
          "gap_count": 120,
          "surprise_count": 43,
          "contradiction_count": 30,
          "recent_papers": 5,
          "total_papers": 8,
          "rejected_papers_filtered": 0
        },
        "top_gaps": [
          {
            "paper_id": "1701.03868",
            "sentence": "The extent to which this constraint is weighed against other s, such as the computational resources required for simulating an environment, is an open question , but some minimal commitment to naturalismisnecessary.",
            "topics": [],
            "signal": "gap"
          },
          {
            "paper_id": "1812.00545",
            "sentence": "We hope to report more results in future work.",
            "topics": [],
            "signal": "gap"
          },
          {
            "paper_id": "2002.08909",
            "sentence": "Future Work The work presented here is the minimal instantiation of a family of REALM-like approaches where a representation is pre-trained to perform reasoning over a large corpus of knowledge on-the-fly during inference.",
            "topics": [
              "REALM-like approaches",
              "representation",
              "perform reasoning",
              "during inference"
            ],
            "signal": "gap"
          },
          {
            "paper_id": "2006.04439",
            "sentence": "The open questions are: how expressive are neural ODEs in their current formalism, and can we improve their structure to enable richer representation learning and expressiveness? *Authors with equal contributions Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org).",
            "topics": [
              "enable richer representation"
            ],
            "signal": "gap"
          },
          {
            "paper_id": "2006.11560",
            "sentence": "In future work, we plan to explore in depth the actual effects of ob jective boundaries on constraint solver performances with the goal to be tter predict in which scenarios Bion can be the most beneficial.",
            "topics": [],
            "signal": "gap"
          }
        ],
        "top_surprises": [
          {
            "paper_id": "1703.00915",
            "sentence": "This is in contrast with the relat ivistic results in previous sections. 4.4 Non-relativistic Theory with Hyperscaling Violation Finally we would like to study a more general class of gravity duals, calle d the hyper scaling violating geometry.",
            "signal": "surprise"
          },
          {
            "paper_id": "2002.08909",
            "sentence": "In contrast, REALM outperforms the largest T5-11B model while being 30 times smaller.",
            "signal": "surprise"
          },
          {
            "paper_id": "2204.09179",
            "sentence": "In contrast, X-M OE in Figure 2b shows a well-organized feature space with clear distinctions between clusters.",
            "signal": "surprise"
          }
        ],
        "top_contradictions": [
          {
            "benchmark": "where",
            "spread": 1.0,
            "min": 0.1,
            "max": 500.0,
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            "samples": [
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                "value": 3.16,
                "snippet": "ig 1 2(d−1)/parenrightBig(z∗)d p,(3.18) where note that ∆ tand ∆xare finite in the limit (3.16). We find the light-like property ∆t≃∆xf"
              },
              {
                "paper_id": "1703.00915",
                "value": 12.0,
                "snippet": "bsystems such a s round balls [31, 32], where quantum corrections in gravity will play an important role [12, 3 3, 34] in addition to the classical"
              },
              {
                "paper_id": "1804.06727",
                "value": 4.0,
                "snippet": "ropy is given by SA=Area(gA) 4Gd+1; (1) where, G is the Newton’s constant [4]. In order to evaluate the minimal surf"
              },
              {
                "paper_id": "1807.06555",
                "value": 2.0,
                "snippet": ". It can be viewed as a function f:X !Y where the input x2X \u0012Rnis ann-dimensional vector and the o"
              },
              {
                "paper_id": "1812.00545",
                "value": 1.0,
                "snippet": "is characterized by cosh =1p 1\u0000v2; (8) where the natural unit, c= 1, was used. In the CFT de ned on the ent"
              },
              {
                "paper_id": "1812.00545",
                "value": 1.0,
                "snippet": "SE=R 4GZ\u0016l=2 \u0000\u0016l=2dxp 1 + \u0016z02 \u0016z; (58) where the subsystem size \u0016lis measured at the energy scale \u00181=\u0016\u000f. Even in this case, the turning poin"
              }
            ],
            "signal": "contradiction"
          },
          {
            "benchmark": "which",
            "spread": 1.0,
            "min": 0.08,
            "max": 205.0,
            "papers": [
              "1803.08691",
              "1811.10649",
              "1812.00545",
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              "2002.08909",
              "2006.04439",
              "2008.11865",
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              "2510.22344",
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              "2605.18747",
              "2605.26248",
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              "2606.04325",
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            ],
            "samples": [
              {
                "paper_id": "1803.08691",
                "value": 3.0,
                "snippet": "been proposed by Milletari et al. [22] which we use for training our 3D U-Net model. In order to optimize the"
              },
              {
                "paper_id": "1811.10649",
                "value": 6.0,
                "snippet": "0p E(w2) 0.058 0.056 0.060 0.058 0.059 (which has label \\6\") and then plot the distributions of 10"
              },
              {
                "paper_id": "1811.10649",
                "value": 27.0,
                "snippet": "inference provides stochastic gradients which has been shown in [27] to provide a false sense of security a"
              },
              {
                "paper_id": "1812.00545",
                "value": 6.0,
                "snippet": "ined by the area of the minimal surface which lies in a constant-time hypersurface [6, 7]. For more details, we divide the bo"
              },
              {
                "paper_id": "1908.02297",
                "value": 2.7,
                "snippet": "dewidehjkdxjdxk/bracketrightBig , (2.9) which has an advantage over our earlier expression, ( 2.7), in that there is no need to worry abo"
              },
              {
                "paper_id": "2002.00208",
                "value": 4.1,
                "snippet": "sality, VL-Granger causality for short, which generalizes the Granger causal relation of De/f_inition 4.1 in a way that addresses the /f_ixed-lag"
              }
            ],
            "signal": "contradiction"
          },
          {
            "benchmark": "all",
            "spread": 1.0,
            "min": 0.5,
            "max": 1000.0,
            "papers": [
              "1803.08691",
              "1804.03830",
              "1908.02297",
              "2002.00208",
              "2101.02323",
              "2106.13898",
              "2109.02722",
              "2206.10173",
              "2405.13407",
              "2405.18781",
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            ],
            "samples": [
              {
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                "value": 1.0,
                "snippet": "oss for optimization. D. Implementation All models are implemented in Keras1with the TensorFlow2back- end, which emp"
              },
              {
                "paper_id": "1804.03830",
                "value": 3.0,
                "snippet": "pooling, and 2 fully-connected layers. All 3D convolutional kernels are 5 \u00025\u00025 with"
              },
              {
                "paper_id": "1804.03830",
                "value": 50.0,
                "snippet": "followed by the L2-normalization layer. All of the convolutional layers use 50 kernels of 5 \u00025\u00025 voxels with a stride o"
              },
              {
                "paper_id": "1908.02297",
                "value": 3.16,
                "snippet": "1 2/tildewidehℓm∂z/tildewidehℓm. (3.17) All terms on the right-hand side of ( 3.16) are of order zn−1or lower in /tildewid"
              },
              {
                "paper_id": "2002.00208",
                "value": 3.0,
                "snippet": "t of time series U=fU1; : : : ; Ung, if all time series inU/uni03F5-converge toward a/afii10069.ital/afii"
              },
              {
                "paper_id": "2002.00208",
                "value": 10.0,
                "snippet": "n causes and effects is 5 time steps for all datasets in this section, methods with the ∆maxparameter have ∆max=10. See Appendix C for the code we used to"
              }
            ],
            "signal": "contradiction"
          }
        ]
      }
    },
    {
      "round": 11,
      "name": "System correctness (claim→quote→PDF)",
      "verdict": "needs work",
      "issues": [],
      "warnings": [
        "correctness detail: 2504.08066v1: missing source_quote/page/checked_at",
        "correctness detail: 2506.01372v2: missing source_quote/page/checked_at"
      ],
      "notes": [
        "correctness_score=0.793 floor=0.55",
        "rows_scored=8",
        "pdfs_missing=0",
        "quote_in_pdf_avg=1.0",
        "claim_support_avg=0.478",
        "locator_present_avg=0.75"
      ],
      "correctness_score": 0.793,
      "correctness_breakdown": {
        "score": 0.793,
        "rows_scored": 8,
        "rows": [
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            "quote_in_pdf": 1.0,
            "claim_supported_by_quote": 0.621,
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            "score": 0.886,
            "pdf_cached": true
          },
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            "locator_present": 0.0,
            "score": 0.584,
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            "score": 0.842,
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            "claim_supported_by_quote": 0.5,
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            "score": 0.85,
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            "score": 0.897,
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        ],
        "pdfs_missing": 0,
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        "claim_support_avg": 0.478,
        "locator_present_avg": 0.75,
        "issues": [
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          "2506.01372v2: missing source_quote/page/checked_at"
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      }
    },
    {
      "round": 12,
      "name": "Cross-model reviewer committee",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "LLM disabled — cross-model jury skipped (deterministic baseline)."
      ],
      "jury": {
        "enabled": false,
        "panel_verdict": "skipped",
        "reviews": []
      }
    },
    {
      "round": 13,
      "name": "Citation integrity (cited→cached metadata)",
      "verdict": "pass",
      "issues": [],
      "warnings": [],
      "notes": [
        "citations_checked=8",
        "fabricated=0 year_mismatch=0 title_drift=0",
        "cached_corpus_size=8",
        "This round is deterministic: it cross-checks printed citations against cached arXiv metadata only."
      ],
      "citation_check": {
        "checked": 8,
        "fabricated": [],
        "year_mismatches": [],
        "title_drifts": []
      }
    }
  ],
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}