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Paper Citation Record · LEDGER

SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2502.13059.

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

pith.paper-citation-record.v1
2502.13059 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:07:01.570354Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:37.001216Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c27950f7-ce82-4e43-ae90-7b358097072c · inbound

MMSearch-R1: Incentivizing LMMs to Search cites this paper.

MMSearch-R1: Incentivizing LMMs to Search SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:27:04.346211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T15:27:04.228144Z digest=sha256:b402063a0f684d0cc8d0e31b49dd786388e59765f39d68eaee9f32922d8ad5e4

Observation 08bc7117-0e4f-42c3-be50-d03b44bf8b8c · inbound

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent cites this paper.

WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:56:23.895091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T18:56:23.817544Z digest=sha256:2bc5f0f4fb182d913fddc6fe9c39a8eafaba95bed027fd48d2db83a5a18e37b2

Observation 56919856-23bd-4f07-9ad8-f504ca201bbb · inbound

DeepEyesV2: Toward Agentic Multimodal Model cites this paper.

DeepEyesV2: Toward Agentic Multimodal Model SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:32:29.542796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T05:32:29.266583Z digest=sha256:c6e757b6e01a759db4e80bdeade119c8ece9d6293f9999e955c0e68a95855ea9

Observation f880eaa3-60e8-4848-8caf-e4a3cbaf5ff8 · inbound

Kimi K2.5: Visual Agentic Intelligence cites this paper.

Kimi K2.5: Visual Agentic Intelligence SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T16:09:05.287406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T16:09:05.225767Z digest=sha256:0f9886d899dafeced5260d0bfd955dcca3457adbe099c132a10405644c88a6f3

Observation d8b1f107-3df5-4d01-9dfc-9ceb1cddc61f · inbound

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos cites this paper.

EduVQA: Towards Concept-Aware Assessment of Educational AI-Generated Videos SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:54:09.112410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T11:52:09.262497Z digest=sha256:bd5de433ebb065aeef7e105b1b7e7df8eb65ae0aa8b96509968737093684ec4d

Observation eea9144b-816b-406c-a96f-c3f10a6f9fa2 · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:26:26.373569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:15:40.042348Z digest=sha256:d6771ff6ea4ea440c562b5146b65081e789e5177800b62aa3318e1ef29902ab4

Observation 079cdfa7-dc7f-4760-9cb8-2ba2f210fba7 · inbound

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents cites this paper.

Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:55:46.388604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T22:30:28.649803Z digest=sha256:62b3ea4f92f781d8628fb7035055e198ceb5854aacf14130cc001cbb6e8e06f9

Observation 72e406ae-cf77-497b-8cb7-c1d8868668a3 · inbound

SEED: Targeted Data Selection by Weighted Independent Set cites this paper.

SEED: Targeted Data Selection by Weighted Independent Set SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T20:33:43.458529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T20:30:26.760966Z digest=sha256:7594ad4ee142a2606366f7a60923d1aff25681ec96d095af9e1b89032f9b5b78

Observation 00d6a3bd-93e5-416e-89d8-b82e6046dd4f · inbound

OProver: A Unified Framework for Agentic Formal Theorem Proving cites this paper.

OProver: A Unified Framework for Agentic Formal Theorem Proving SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:48:23.489743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T14:43:46.517807Z digest=sha256:c70620279f8b81b4e114484110f29145f8c914a34b8f5dfddc76a97e0fbbd350

Observation 8cb11009-abbf-4600-ad64-f700e67a6090 · inbound

Reinforcement Learning with Robust Rubric Rewards cites this paper.

Reinforcement Learning with Robust Rubric Rewards SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:43:13.747136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-29T07:39:21.677389Z digest=sha256:f23fc2409b3024b43e81f005e2ee1d85f70e179b502e95395dc8bf5a50fb61a6

Observation 2f18f3ed-36da-4831-839f-f1bd6843fb42 · inbound

Kwai Keye-VL-2.0 Technical Report cites this paper.

Kwai Keye-VL-2.0 Technical Report SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:27:37.002583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-27T13:53:10.352603Z digest=sha256:13159457778dd1212f2f28fbe7f895002e65fd14ff16fc3d017c6437ff75101d

Observation c2dd434e-fdd0-422a-9189-1bd5f0c05a96 · inbound

Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities cites this paper.

Can LVLMs Uncover the Truth Behind Visual Illusions? An Analysis of Perceptual and Reasoning Capabilities SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T02:07:01.570354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:07:01.570354Z digest=sha256:b6e7192f6425ea6e7b06864b04e9ef1bcf1d9e919c0dd6cf05d2c52313beca16