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9c01d650c9049ffbc463
5c7209bf5a684f99
extract_single
en
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According to the “Transformer Equivalence” section on Page 5, what recognizes a language defined by a TL[#] formula of depth k?
a fixed-precision transformer of depth k
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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3b3e12886a856b246c9a
f07f7cd76603e208
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According to the section “A.5. Selection of the Simulation Horizon” on Page 26, what default simulation horizon was used for the experiments, in minutes?
500
integer
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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a23e4b45021badac886f
7dcb3ca5c0976849
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According to Table 4, “OED Productivity, FY89–FY92,” how many adjustment audits were recorded in FY92?
28
integer
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[ { "page": 28, "kind": "Table", "description": "In Table 4, “OED Productivity, FY89–FY92,” the Adjustment Audits row shows 28 under FY92.", "quote": null, "locator": null, "support_mode": null } ]
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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d887f26cafe5a265a2f4
6e06f5d9853720a1
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According to Table 5 in the Results and Discussion section on Page 20, what PLCC value did MetaQAP achieve on the BIQ2021 dataset?
0.884
float
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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22fabb1e39bcabbe49a6
db7293ba70ded2f6
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According to the “Docker sandbox for result checking” section on Page 11, what are the two key functionalities of the sandbox environment?
Executing LLM-generated Python code and returning its output in the form of a materials property dictionary; Executing corresponding verification scripts to assess correctness
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[ { "page": 11, "kind": "Text", "description": "Under the section “Docker sandbox for result checking,” the text explicitly lists the sandbox’s two key functionalities.", "quote": null, "locator": null, "support_mode": null } ]
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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2aa08ec942ab930aed02
6ee5ee8566ebfc2d
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According to the “Blind evaluation by UF Health Oncologists” section on Page 25, how many treatment plans were included in total?
237
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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40fa130bf3d4ec69dc68
b28830acee54c369
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In Table 4 on Page 21, what mean performance does MiCo-GPT 4 achieve?
96.9
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[ { "page": 21, "kind": "Table", "description": "Table 4 lists the Mean performance for MiCo-GPT 4 as 96.9%.", "quote": null, "locator": null, "support_mode": null } ]
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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12aaef8d1e07ad7a9a45
9315b6a1c80d3a75
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According to Section 9, “Conclusie,” on Page 32, what two conclusions does the document draw about behavioural-targeting data and data protection law?
Under current law, at least according to the interpretation of the European privacy regulators, the rules for personal data generally apply to behavioural-targeting data.; Data protection law should also apply from a normative perspective.
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[ { "page": 32, "kind": "Text", "description": "Section 9, “Conclusie,” states that two conclusions follow: personal-data rules generally apply to behavioural-targeting data, and data protection law should apply from a normative perspective.", "quote": null, "locator": null, "support_mode": nu...
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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d9a7e43c6e3006253e21
daeee08b06d2264b
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According to the “IV. CONCLUSIONS” section on Page 21, how many new directions are emphasized in OED’s FY88 work program?
4
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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c67876473ffc5040a003
6c1b62384ade84bc
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According to the Battery subsection of "Storage Systems" on Page 11, what main lithium battery types are listed?
Lithium Cobalt Oxide (LCO, cathode); Lithium iron phosphate (LFP, cathode); Lithium Manganese Oxide (LMO, cathode); Lithium Titanate Oxide (LTO, anode); Lithium Nickel Cobalt Aluminium oxide (NCA, cathode); Lithium Nickel Cobalt Manganese oxide (NMC, cathode)
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[ { "page": 11, "kind": "Text", "description": "The Battery subsection under Storage Systems lists the six main lithium battery types and their electrode classifications.", "quote": null, "locator": null, "support_mode": null } ]
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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2b0386ab72c3675589ff
b39056eff8fec253
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According to the A.4 Human Experiment Details section on Page 17, how many cold-start rounds does each task use?
4
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[ { "page": 17, "kind": "Text", "description": "In the A.4 Human Experiment Details section, the cold-start stage states that each task uses four cold-start rounds.", "quote": null, "locator": null, "support_mode": null } ]
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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db9ddf505149811cbad9
1a5ad50836173e08
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According to Section 3.2, Interviews, on Page 7, how many participants were interviewed?
11
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[ { "page": 7, "kind": "Text", "description": "The section 3.2 Interviews states that the researchers conducted interviews with 11 participants.", "quote": null, "locator": null, "support_mode": null } ]
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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4521a46e257c95eda548
74f2f8a1351dc3d5
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In the section “Generalized gradients as limiting Fréchet subgradients,” what does Proposition 3.12 establish, and what equality does Corollary 3.13 give under its C¹ condition on Pages 32 and 33?
Proposition 3.12 establishes that G(θ) belongs to the limiting Fréchet subgradient set of L₀ at θ.; Corollary 3.13 establishes that G(θ) = (∇L₀)(θ) for θ in an open set U where L₀|ᵤ is C¹(U, ℝ).
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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According to the section “Analyzing pathways to reasoning strategies: Data selection and interpolation” on Pages 8 and 9, what two conclusions are drawn about the effects of training-data format and model merging on reasoning strategies?
Training data format has a greater impact on reasoning strategies than domain.; Model merging interpolates reasoning strategies from multiple-choice-trained models toward free-form-trained models without additional training.
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{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
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6f9698de3a893e687d03
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According to the HIV-1 Protease discussion on Pages 7 and 21, what proportions are reported for the closed/semi-open states in (a) the base Boltz-2 samples and (b) the two-component Gaussian-mixture target?
83% closed and 17% semi-open; 25% closed and 75% semi-open
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According to Appendix C on Page 28 and the application in Appendix D on Pages 30–31, what variance order is used for I₁ and what exponential upper bound does Bernstein’s inequality yield for P(∑_{i=1}^n I_{1,i} ≥ μnI(X₁;Y₂|X₂,U))?
The variance of I₁ is O(n^{-1/2}).; P(∑_{i=1}^n I_{1,i} ≥ μnI(X₁;Y₂|X₂,U)) ≤ exp(−ζ₁n^{1/2}) for some ζ₁ > 0.
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In the Experiments sections “Temporal Generalisation” and “Phenological alignment,” what are the mean mIoU values for U-TAE and TSViT in Table 3, and what are their corresponding mIoU values using T³S in Table 4?
U-TAE: 35.8% (Table 3 mean mIoU); 34.6% (Table 4, T³S); TSViT: 48.1% (Table 3 mean mIoU); 37.4% (Table 4, T³S)
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According to Section 7.2 on Pages 30–31, on how many markets did an adaptive gain attain the lowest mean negative log score, and on how many markets was the pooled DMD-logit-minus-constant differential negative?
12; 11
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According to the PRISON framework on Page 3 and the Experiment 1 Results on Page 7, what are the five criminal trait dimensions, and which trait emerged as the dominant strategy?
False Statements; Frame-Up; Psychological Manipulation; Emotional Disguise; Moral Disengagement; Psychological Manipulation was the dominant strategy
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According to the RQ2 section on Pages 17–18, what were the four reported maximum metrics for heterogeneous composition?
Maximum trajectory RMSE: 1.28 × 10^-16; Maximum mass-conservation error: 6.02 × 10^-16; Maximum event-order mismatch: 0; Maximum port-type violation: 0
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Based on Graph 2 on Page 18 and the “Human capacity—Development in early childhood” discussion on Page 24, what two conclusions connect early cognitive differences with equality of opportunity?
Cognitive development scores differ notably by family background between ages three and five.; Investments in early childhood can be decisive for improving equality of opportunity.
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According to Proposition 6.1 on page 38 and the discussion on page 41, which theories are established as supported malleable through skew commutativity and skew associativity, and which theory requires a separate proof of malleability?
SL, GA, and CA are supported malleable via skew commutativity and skew associativity.; GC requires a separate proof of malleability.
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Based on the “Summary of contributions” on Page 2 and Theorem VI.7 in the quantum relational Hoare logic section on Page 6, for what class of programs and postconditions is completeness claimed?
AST (almost-surely terminating) programs with bounded postconditions
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Based on Theorem 1.2 on Page 4 and Theorem 3.2 on Page 14, what are the stated running-time guarantee and inapproximability result?
An optimal orientation can be computed in time n^{O(k)}; Unless P = NP, no polynomial-time algorithm can achieve a 581773/581774-approximation
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According to the “Spotlight on Cambodia” pages (Pages 25 and 26), which contracting approach increased health-service use among the poorest half by nearly 30 percentage points, and what verification safeguard did its contracts require?
Contracting out; An independent performance verification system
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According to the “Analysis of Thought Styles” section on Pages 16–17, what were the 1-shot hidden-thoughts accuracies and average MMLU inference thinking-token counts for the STEM and Law models?
STEM: 76.3% accuracy; 125.7 average inference thinking tokens; Law: 72.0% accuracy; 143.3 average inference thinking tokens
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In the “Absolute binding free energy” section, based on Pages 44 and 48, what four Boltz2 affinity values were used for compound selection, and what Pearson correlation was reported between Boltz2 and AFEP estimated affinities?
5, 6, 7, and 8 pKi, each with a ±0.25 range; 0.53
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In the “Gradient estimation” section, based on Pages 15 and 16, how does gradient-estimation time scale for weight versus node perturbation, and what effect does task complexity have?
Weight perturbation: proportional to the total number of network parameters (N); Node perturbation: proportional to the square root of the total number of network parameters (√N); Task complexity had no effect on gradient estimation
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Based on Table 4 on Page 21 and the “Self-supervised and intrinsic quality objectives” discussion on Page 22, what are the fine-grained dimension counts for the Wachsmuth et al. and Ivanova et al. taxonomies, and what correlation does Intrinsic QA achieve against crowdsourced judgments?
Wachsmuth et al.: 15; Ivanova et al.: 15; intrinsic QA correlation: 0.46
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[ { "page": 21, "kind": "Table", "description": "Table 4 lists 15 fine-grained dimensions for both the Wachsmuth et al. (2017a) and Ivanova et al. (2024) taxonomies.", "quote": null, "locator": null, "support_mode": null }, { "page": 22, "kind": "Text", "description": "The disc...
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
[ { "role": "user", "content": [ { "type": "image", "image": "images/ef96d6a7188cfd46/page_0001.jpg" }, { "type": "image", "image": "images/ef96d6a7188cfd46/page_0002.jpg" }, { "type": "image", "image": "images/ef96d6a7188cfd46/page...
cc2be6fb9279bba4d03e
2d3d973901dcc581
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en
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According to Table 5 on Page 21 and Table 6 on Page 25, what capability coverage is assigned to the Code and science teacher, and which benchmarks are listed under Long Context and Instruction Following?
Program synthesis, scientific computing, and physical reasoning; AA-LCR; IFBench
list
[ 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30 ]
[ { "page": 21, "kind": "Table", "description": "Table 5 identifies the Code and science teacher's coverage as program synthesis, scientific computing, and physical reasoning.", "quote": null, "locator": null, "support_mode": null }, { "page": 25, "kind": "Table", "description"...
{ "verdict": "pass", "scores": { "groundedness": 4, "answer_correctness": 4, "question_clarity": 4, "evidence_sufficiency": 4, "task_fidelity": 4, "difficulty": 3 }, "issue_codes": [], "verifier_model": "gpt-5.6-luna", "verifier_prompt_version": "mmprolong-legacy-verifier-v2", "rep...
[ { "role": "user", "content": [ { "type": "image", "image": "images/2d3d973901dcc581/page_0001.jpg" }, { "type": "image", "image": "images/2d3d973901dcc581/page_0002.jpg" }, { "type": "image", "image": "images/2d3d973901dcc581/page...

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This review-only subset contains 30 samples selected from server_3000_v2. All records passed the v2 hard gates and independent verifier. Each document is copied once, and train_qwen.jsonl references the complete rendered page sequence with repository-relative paths. This is a preview artifact, not the final public release.

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