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Paper Citation Record · LEDGER

VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10889.

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

pith.paper-citation-record.v1
2406.10889 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:03.688658Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 796d7a1c-a07c-4139-af8b-cce63c3964a0 · inbound

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos cites this paper.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T14:03:03.688658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:03:03.688658Z digest=sha256:95a63b0014c2748aa0a454c2a1b04daf4537eddad2db0aea21a12e3dbf00fa8d

Observation 48ab59c9-9d8a-4f19-843d-204ab322525c · inbound

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models cites this paper.

MESH -- Understanding Videos Like Human: Measuring Hallucinations in Large Video Models VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:33:54.254429Z

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=pdf_text observed=2026-08-04T20:32:56.811561Z digest=sha256:d9acca2b6e3f3f87f6fc5a4f0da9433b2d421cc0da41d055e634d25b95f7ee00