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Paper Citation Record · LEDGER

VLM-Eval: A General Evaluation on Video Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.11865.

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

pith.paper-citation-record.v1
2311.11865 v1

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:58:27.497281Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:46:16.724019Z

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 5d27f254-ae1b-4da7-acf1-08d58efeb77a · inbound

TempCompass: Do Video LLMs Really Understand Videos? cites this paper.

TempCompass: Do Video LLMs Really Understand Videos? VLM-Eval: A General Evaluation on Video Large Language Models

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:46:16.726617Z

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.

source=arxiv_source observed=2026-05-17T02:46:16.632743Z digest=sha256:6427de029e3a39e289378b55705adf543ced2ce90c65d647dd614bc8c8f90eba

Observation 2e9fe91c-3242-4a7e-84de-3a088856acb2 · inbound

GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? cites this paper.

GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? VLM-Eval: A General Evaluation on Video Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T17:58:27.497281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:58:27.497281Z digest=sha256:3b3bde87be829df59c29fc177ec9500d034d242faa7a3703308aef626759d5ed

Observation 704f1686-453e-4a85-8545-8ef5ad8cd00c · inbound

NeMo: Needle in a Montage for Video-Language Understanding cites this paper.

NeMo: Needle in a Montage for Video-Language Understanding VLM-Eval: A General Evaluation on Video Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-04T13:54:18.667591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:54:18.667591Z digest=sha256:756a257ef6b48166263cac7fe626827298c499c3157af17022c625198ac467e5

Observation bb79e491-fe71-43e5-90c0-dee4fd2c2c01 · inbound

CREward: A Type-Specific Creativity Reward Model cites this paper.

CREward: A Type-Specific Creativity Reward Model VLM-Eval: A General Evaluation on Video Large Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-03T20:27:23.711376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:27:23.711376Z digest=sha256:aa98a245748590be1d3078743e94c5b752e48a14a9e2191de8e7adc06ba3af24