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Paper Citation Record · LEDGER

Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.13369.

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

pith.paper-citation-record.v1
1907.13369 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:46:09.193469Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 4e1f0ba1-d94a-4d27-86eb-116be42d1a42 · inbound

FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding cites this paper.

FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T02:59:25.300199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:59:25.300199Z digest=sha256:444d7b2d6e9e0b0d797c5a7cefb510d412157500fbe80beb46c697547f1f9a8a

Observation 528cfabf-5346-46df-abc1-6e221876a984 · inbound

FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding cites this paper.

FORGE: Frame Orthogonality in Relevance Geometry for Long-Form Video Understanding Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T01:46:09.193469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:46:09.193469Z digest=sha256:4c8db019c5a2f868346c77968247ce978dc2961d6c5d5917508eadb41ddce622