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Paper Citation Record · LEDGER

VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.11417.

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

pith.paper-citation-record.v1
2410.11417 v1

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 2026-08-03T00:45:19.436099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:27:15.647262Z

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 58fd601f-962f-4a9e-ac55-2351bb9cb6ea · inbound

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

Watch, Remember, Reason: Human-View Video Understanding with MLLMs VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models

Reference 149

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:27:15.648797Z

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=2026-06-27T22:00:28.350003Z digest=sha256:70acda0cfb5f2deeb859c8e83a44915fe8f4d640e26975de3ceeecc7662c635f

Observation c580aa84-7a98-4e01-8779-fa12387451e9 · inbound

ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding cites this paper.

ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding VidCompress: Memory-Enhanced Temporal Compression for Video Understanding in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-03T00:45:19.436099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:45:19.436099Z digest=sha256:2cbe45c4cf718c03c1575e5b85d05c136c40cb5c53d12019e021b22f6ac5d569