Paper Citation Record · LEDGER

Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.02763.

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

pith.paper-citation-record.v1
2410.02763 v1

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 2026-08-18T06:34:40.430872+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:19:36.810695Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:16.780666Z

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 a6f04011-2e93-4114-a36c-edf06bd2dc7b · inbound

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding cites this paper.

PerceptionLM: Open-Access Data and Models for Detailed Visual Understanding Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T12:19:36.810695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9085cf9-d627-43b5-a0ee-6125e62f8062 · inbound

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark cites this paper.

Video-MMLU: A Massive Multi-Discipline Lecture Understanding Benchmark Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 163

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:40.853797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1a55fc5-d6f7-4e78-b033-919f27341b42 · inbound

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos cites this paper.

TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:27.449972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db9a34d1-a94f-46a6-b4ea-06b0f96328cc · inbound

ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs cites this paper.

ReGATE: Learning Faster and Better with Fewer Tokens in MLLMs Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:01.110377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e463b914-b40c-424f-ae20-043856cb0b61 · inbound

Multimodal Language Models Cannot Spot Spatial Inconsistencies cites this paper.

Multimodal Language Models Cannot Spot Spatial Inconsistencies Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:13:24.853698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f8ab05b-3637-44f5-8707-564c6c8250d3 · inbound

Lost in Adaptation: Layer-Selective Recovery of Temporal Reasoning in Video-Language Models cites this paper.

Lost in Adaptation: Layer-Selective Recovery of Temporal Reasoning in Video-Language Models Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:56:05.895723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 06b8ee62-9d18-4e37-afc6-244d570983d6 · inbound

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs cites this paper.

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video-LLMs Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:44:38.792882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 22dc322a-e165-4071-a3b1-db098c134520 · inbound

TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted Reasoning cites this paper.

TLG: Temporal-Logic Grounding for Video Question Answering via Source-Annotation Reconstruction and Category-Targeted Reasoning Vinoground: Scrutinizing LMMs over Dense Temporal Reasoning with Short Videos

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.782399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.