Paper Citation Record · LEDGER

MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.08407.

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

pith.paper-citation-record.v1
2406.08407 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:45.857292Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:32.634647Z

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 e52c226a-f5f3-4941-a4ee-e56880be96cc · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.638196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b2ae57d-4160-4279-b223-cad41ff4ccc2 · inbound

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs cites this paper.

WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:53:26.182703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dd7c5789-77e8-4207-958f-941155d9b4be · inbound

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? cites this paper.

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:40:56.083929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 768a3bfd-c353-44fc-8570-88a19169d001 · inbound

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos cites this paper.

VF-Eval: Evaluating Multimodal LLMs for Generating Feedback on AIGC Videos MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:45.857292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f68f3c2-48fb-4c88-9dc4-c9e4b0a985d6 · inbound

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:22:55.856234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da8e55f2-bfd7-4e72-9af8-c857c491acae · inbound

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments cites this paper.

ExpStar: Towards Automatic Commentary Generation for Multi-discipline Scientific Experiments MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T17:55:45.290096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 839fc9a4-1879-446c-a588-b8772bfa45d1 · inbound

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth cites this paper.

"Harmless to You, Hurtful to Me!": Investigating the Detection of Toxic Languages Grounded in the Perspective of Youth MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T05:15:41.726495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c6eb71-8bda-484c-a9a4-72e10f1ef3d5 · inbound

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models cites this paper.

VLM4D: Towards Spatiotemporal Awareness in Vision Language Models MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T05:12:34.789179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48698e92-3e48-4bcb-8ff1-e81d74bee205 · inbound

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes cites this paper.

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-05T19:03:10.291029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61d26d70-21ce-4801-88d2-9173a24f5e72 · inbound

SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing cites this paper.

SoccerRef-Agents: Multi-Agent System for Automated Soccer Refereeing MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:46:13.678695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.