Paper Citation Record · LEDGER

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2608.05670.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.05670 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:34:23.056458Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:34:36.458943Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T04:34:36.902345Z

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy12
unresolved24
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d8450b18-d026-4d72-800f-7b14558c59b5 · outbound

This paper cites VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.718875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e9e669a-16d2-4301-b7e3-1bee98167ba1 · outbound

This paper cites Questioning the stability of visual question answering.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Questioning the stability of visual question answering

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.724591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 291444bc-2dd8-4952-8eb4-8b6fe1c8f41e · outbound

This paper cites Efficient test-time scaling for small vision-language models.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Efficient test-time scaling for small vision-language models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.984472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e18ebd78-67fa-49bb-a4d7-30900cb577cc · outbound

This paper cites Multi-llm debate: Framework, principals, and interventions.Advances in Neural Information Processing Systems, 37:28938–28964, 2024.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Multi-llm debate: Framework, principals, and interventions.Advances in Neural Information Processing Systems, 37:28938–28964, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.734303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94f291c1-af88-4a44-9efd-50b0df790b75 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.739239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf8a19ea-9e1c-41e4-9244-11906c5e7eff · outbound

This paper cites Consistency and uncertainty: Identifying unreliable responses from black- box vision-language models for selective visual question answering.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Consistency and uncertainty: Identifying unreliable responses from black- box vision-language models for selective visual question answering

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.744339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0098460-5a52-42ed-a8d1-22f42d7d02eb · outbound

This paper cites Decompose and compare consistency: Measuring vlms’ answer reliability via task-decomposition consistency comparison.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Decompose and compare consistency: Measuring vlms’ answer reliability via task-decomposition consistency comparison

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.950491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0ee27387-dfc1-44c7-b617-2707784ac49e · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.754207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de494b6-d26b-413d-b9b0-2a97935f6137 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.780102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dfa8160-52a3-4f9d-9fc8-bc8f1c3d96e5 · outbound

This paper cites Zoom Consistency: A Free Confidence Signal in Multi-Step Visual Grounding Pipelines.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Zoom Consistency: A Free Confidence Signal in Multi-Step Visual Grounding Pipelines

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.806745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0a2656f-c19f-4150-8fb3-5a990c6c7b66 · outbound

This paper cites Vauq: Vision-aware uncertainty quantification for lvlm self-evaluation.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Vauq: Vision-aware uncertainty quantification for lvlm self-evaluation

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.927081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f8d698ac-680a-42c0-9e18-136d2fc439fd · outbound

This paper cites Vl-calibration: Decoupled confidence calibration for large vision-language models reasoning.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Vl-calibration: Decoupled confidence calibration for large vision-language models reasoning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.912793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1be52bab-4a6c-498e-9077-525e51081542 · outbound

This paper cites an unresolved cited work.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-08T04:34:23.897455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation be3b93ca-1489-4db5-b200-8ea065cfb549 · outbound

This paper cites FigureQA: An Annotated Figure Dataset for Visual Reasoning.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering FigureQA: An Annotated Figure Dataset for Visual Reasoning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.922646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a9a571-af79-410c-8cca-feaca54835d6 · outbound

This paper cites Plotqa: Reasoning over scientific plots.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Plotqa: Reasoning over scientific plots

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.882252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76933f1f-993c-48bf-9550-082e13848bbf · outbound

This paper cites Chartqa: A benchmark for question answering about charts with visual and logical reasoning.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Chartqa: A benchmark for question answering about charts with visual and logical reasoning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.959247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef0ea0cd-0692-46ea-b2df-3cc67458edfe · outbound

This paper cites Chartverse: Scaling chart reasoning via reliable programmatic synthesis from scratch.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Chartverse: Scaling chart reasoning via reliable programmatic synthesis from scratch

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.856452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 02ba6739-5a20-4ecf-a225-60c48dcbd307 · outbound

This paper cites Chart-rl: Generalized chart comprehension via reinforcement learning with verifiable rewards.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Chart-rl: Generalized chart comprehension via reinforcement learning with verifiable rewards

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.839203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 49a66d6a-5a60-4c1b-a7ba-48dd6f9878e9 · outbound

This paper cites Chart-rvr: Reinforce- ment learning with verifiable rewards for explainable chart reasoning.arXiv preprint arXiv:2510.10973, 2025.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Chart-rvr: Reinforce- ment learning with verifiable rewards for explainable chart reasoning.arXiv preprint arXiv:2510.10973, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.973225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 232e86df-497a-4702-9de9-47195476250b · outbound

This paper cites ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.977760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f94e84d-a710-4113-aa3e-03287894ce84 · outbound

This paper cites Unraveling the truth: Do vlms really understand charts? a deep dive into consistency and robustness.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Unraveling the truth: Do vlms really understand charts? a deep dive into consistency and robustness

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.822707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d84fd80-551f-4539-ba7b-85f5847d8e25 · outbound

This paper cites Losing the plot: How vlm responses degrade on imperfect charts.arXiv preprint arXiv:2509.18425, 2025.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Losing the plot: How vlm responses degrade on imperfect charts.arXiv preprint arXiv:2509.18425, 2025

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.987169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c2d8530-723c-4b78-8c3c-fc111247c42d · outbound

This paper cites On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering On Robustness and Chain-of-Thought Consistency of RL-Finetuned VLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:22.991328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434fa5ec-450c-44ad-b825-1bf2cc705593 · outbound

This paper cites Perception-r1: Advancing multimodal reasoning capabilities of mllms via visual perception reward.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Perception-r1: Advancing multimodal reasoning capabilities of mllms via visual perception reward

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.806830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ba2de16b-0e19-466b-ab7d-dfd83ea8c0aa · outbound

This paper cites V-fat: Benchmarking visual fidelity against text-bias.arXiv preprint arXiv:2601.04897, 2026.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering V-fat: Benchmarking visual fidelity against text-bias.arXiv preprint arXiv:2601.04897, 2026

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.000518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8078357c-3d8d-4bc3-b03a-774b03dd47e8 · outbound

This paper cites Cdh-bench: A commonsense- driven hallucination benchmark for evaluating visual fidelity in vision-language models.arXiv preprint arXiv:2603.27982, 2026.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Cdh-bench: A commonsense- driven hallucination benchmark for evaluating visual fidelity in vision-language models.arXiv preprint arXiv:2603.27982, 2026

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.004811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f4b3506-1e79-4111-a926-4c3af9b59b1d · outbound

This paper cites Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Do Vision-Language Models See or Guess? Measuring and Reducing Textual-Prior Reliance with a Phrasing-Controlled Benchmark

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.009317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01de0153-e369-4b08-9685-0c519f3fb323 · outbound

This paper cites On the foundations of noise-free selective classification.Journal of Machine Learning Research, 11(5), 2010.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering On the foundations of noise-free selective classification.Journal of Machine Learning Research, 11(5), 2010

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.014499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7caf36b-99b5-48eb-9345-7f336fbfabea · outbound

This paper cites On calibration of modern neural networks.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering On calibration of modern neural networks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.018756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c00800a2-f918-4bf0-8388-7e0954a91eea · outbound

This paper cites selective prediction.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering selective prediction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.772362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5a86d081-bba8-4623-b336-48a798995f1e · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.027631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbd5e928-f152-4ede-b039-94f0d677288c · outbound

This paper cites Qwen2.5-VL Technical Report.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Qwen2.5-VL Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.032333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 287517cb-49c6-4dde-a2fe-106c27557308 · outbound

This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, 67(12):220101, 2024.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Information Sciences, 67(12):220101, 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T04:34:23.037110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07d488ce-5029-4dbc-8eae-32a09c129c48 · outbound

This paper cites Equivalence guaranteed.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Equivalence guaranteed

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.746762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 82ad8d73-8ef7-4751-ab81-f49ffb356e5b · outbound

This paper cites When the answer space has two elements and 𝐾 is odd the first inequality is an equality, and the middle quantity is strictly decreasing along odd𝐾.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering When the answer space has two elements and 𝐾 is odd the first inequality is an equality, and the middle quantity is strictly decreasing along odd𝐾

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T04:34:23.732491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 865fc1df-4c31-44a8-833e-280e49b81d0b · outbound

This paper cites an unresolved cited work.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-08T04:34:23.717004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a9b7f48b-c950-40dd-a8a7-6ccfe160cb49 · outbound

This paper cites too many arguments.

When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering too many arguments

Reference 37

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T04:34:23.702478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation b54cd8d3-3b67-4b6a-81de-67b7fe69b3d3 · inbound

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading cites this paper.

Consistency Has a Computable Blind Spot: A Commutation Theory of Label-Free Reliability for Vision-Language Figure Reading When Does Consensus Mean Correctness? Measuring the Agreement-Accuracy Coupling with Semantics-Preserving Re-Rendering

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:34:36.907422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.