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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T04:30:38.804702Z

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:12215fd30f2b0be935b7b269e196f8e32dc7f3158fb42dec349a7f80e5c3322d

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T05:53:26.066674Z digest=sha256:e27336a0d1e3ae404271446472f4bc105289a654ba6f9f2183e0487bf54d5f49

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T05:40:55.944288Z digest=sha256:33e3228e757dbec95b0657f66a0729d95c484706fa469036e485547c6f525bf6

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-08T08:03:57.287297Z digest=sha256:d91cf3f95ec3ecb58096c70b24c3c3039eaf1b24d746d9c64c5e089a146856d1