Paper Citation Record · LEDGER

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark

As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2507.13405.

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

pith.paper-citation-record.v1
2507.13405 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:41:13.655335Z

measured 22 of 22 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:01:48.251493Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:33:50.200070Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy2
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ecf877d-c8c4-4b1a-8c1f-99a4d8bd3e9c · outbound

This paper cites GPT-4 Technical Report.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.166689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39f49f9f-7fe3-4f23-afa7-7c5ebae49050 · outbound

This paper cites Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.409602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 284bbb27-812a-4401-b4af-d444e8cf7cde · outbound

This paper cites NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.639417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bad059c7-b2ee-4e1c-ab95-768d91d5a10d · outbound

This paper cites A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.716870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1720286c-ee3f-4044-bbb9-3943b9585fb8 · outbound

This paper cites an unresolved cited work.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:41:14.859133Z

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 66eaf9cf-7123-4b91-bd8d-f881b07038ea · outbound

This paper cites NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark NTSEBENCH: Cognitive Reasoning Benchmark for Vision Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T16:41:14.160149Z

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 aeac34aa-ad93-4f30-a0da-a40b4b5066b8 · outbound

This paper cites VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.007547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13202050-d695-432d-b7a4-79bdccf119ae · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.138030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3215973-2793-40bc-82db-132191999531 · outbound

This paper cites Visual Entailment: A Novel Task for Fine-Grained Image Understanding.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark Visual Entailment: A Novel Task for Fine-Grained Image Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.278562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b1b18b-a872-47ff-8655-2e2f8a63c8c1 · outbound

This paper cites MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.357316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb4cf62-8367-4010-a1de-5c6103ea2db4 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.436572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0c63bf0-9da3-404b-a112-d41aa3f3a32e · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.513227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09201af8-cbf8-45e1-bfca-4b3e0b1d79d0 · outbound

This paper cites When in doubt, use more conserva- tive qualifiers.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark When in doubt, use more conserva- tive qualifiers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:14.620596Z

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 28ff9e58-16a6-4a6a-beb9-2db731eed007 · outbound

This paper cites COREVQA requires models to perform multi-step verification by decomposing complex claims and meticu- lously verifying each component against visual evidence.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark COREVQA requires models to perform multi-step verification by decomposing complex claims and meticu- lously verifying each component against visual evidence

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:41:14.459868Z

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 94ee7c5c-6f97-4031-9c8b-b618516ea93f · outbound

This paper cites Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark Artifacts or Abduction: How Do LLMs Answer Multiple-Choice Questions Without the Question?

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.234673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a7d63e-f7dd-4c42-8484-267f692b0260 · outbound

This paper cites M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:13.203791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c717dd3-edca-4384-b167-0a529f19c289 · outbound

This paper cites R., Bashir, S.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark R., Bashir, S

Reference 2021

Resolution: verified exact; raw_fallback, observed 2026-08-06T16:41:13.982818Z

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 3d466147-a3f3-4582-81cc-cf2bfb5d755d · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.553911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e4749f-3741-47c9-840e-643562c7864e · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.321982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b305033a-7bc9-47a0-86da-c716cee83a57 · outbound

This paper cites MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs.

COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T16:41:12.474596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4340bbb5-e9ee-4e65-a263-2a16a363cfbe · inbound

Scaling Mobile Chaos Testing with AI-Driven Test Execution cites this paper.

Scaling Mobile Chaos Testing with AI-Driven Test Execution COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:01:48.251493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b651095a-580d-412d-a407-a5cb8419b22e · inbound

FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling cites this paper.

FTibSuite: A Comprehensive Resource Suite for Tibetan Vision-Language Modeling COREVQA: A Crowd Observation and Reasoning Entailment Visual Question Answering Benchmark

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.201757Z

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.