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Paper Citation Record · LEDGER

Improving LLM Video Understanding with 16 Frames Per Second

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.13956.

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

pith.paper-citation-record.v1
2503.13956 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:38:43.162526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T12:31:32.026683Z

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 e4edf8d9-2055-4ef3-9d9c-be339becbab4 · inbound

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent cites this paper.

EgoPrune: Efficient Token Pruning for Egomotion Video Reasoning in Embodied Agent Improving LLM Video Understanding with 16 Frames Per Second

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:38:43.162526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:38:43.162526Z digest=sha256:384ac93ee960cf3e4320e608d225690f4f473770eca09bf29ac5bedb6df7c114

Observation e5e01f37-b4c6-474a-ad85-93bcaf1b25e0 · inbound

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling cites this paper.

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling Improving LLM Video Understanding with 16 Frames Per Second

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:31:32.029653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T12:26:35.347190Z digest=sha256:9930dd527fb816935f4e4c68f01d5f6acc42006d94f4ecbcae6c30502b23dd73

Observation d877a2ee-d6d5-4ee2-a6a3-a199ae0fd76d · inbound

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning cites this paper.

CrashSight: A Phase-Aware, Infrastructure-Centric Video Benchmark for Traffic Crash Scene Understanding and Reasoning Improving LLM Video Understanding with 16 Frames Per Second

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:30:57.899474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T17:09:57.040135Z digest=sha256:d8bf27c4b70e5d0bf838622db1cd5342e18b735d32bcf5ad45a0c722eb4676d8