Paper Citation Record · LEDGER

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.14693.

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

pith.paper-citation-record.v1
2504.14693 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:20.279955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:27:15.190282Z

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 e80550e8-5c46-4e13-81dc-a8f2bb3ddd74 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 134

Resolution: unresolved; no resolver link, observed 2026-08-07T14:31:20.279955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 605c7da0-e77d-421b-a97a-1546f94eb854 · inbound

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-06T20:29:54.414573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b5f54bb-4cd2-40e4-a231-92e8f2ce523c · inbound

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

HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-05T19:03:10.017588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6786480-76ad-4755-a9fc-726bb06e47f2 · inbound

OneThinker: All-in-one Reasoning Model for Image and Video cites this paper.

OneThinker: All-in-one Reasoning Model for Image and Video Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:11:26.611326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 16fcafd2-e992-443d-b79f-2a76f270f8fc · inbound

VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding cites this paper.

VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:26:45.461179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6823fe48-bb9e-41b4-ab56-41a8d5d1062e · inbound

Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.

Watch, Remember, Reason: Human-View Video Understanding with MLLMs Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:15.191760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 250501ec-7718-4c81-baa7-ec34d6db0f8c · inbound

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos cites this paper.

MMHBench: A Multi-Perspective Benchmark for Mental Health Understanding in Long-Form Videos Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-31T23:31:54.992394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62aba644-7176-4f22-b1ed-11b45250e50a · inbound

The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping cites this paper.

The Low Frequency Trap: Video Language Models Fail at Simple Event Bookkeeping Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T04:24:54.755039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.