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Paper Citation Record · LEDGER

Text-Conditioned Resampler For Long Form Video Understanding

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.11897.

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

pith.paper-citation-record.v1
2312.11897 v3

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:56:54.629726Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T13:53:28.846946Z

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 adba18a1-8500-414f-842c-786be24e70ea · inbound

Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding cites this paper.

Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding Text-Conditioned Resampler For Long Form Video Understanding

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:56:54.629726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:56:54.629726Z digest=sha256:9f99a5ae5aeae0422bbf1674936343bf70d4a45a6132c3119a025d22f80f4929

Observation 7edf763c-3bd1-4d39-96d4-6e1f06330c06 · inbound

Understanding Long Videos via LLM-Powered Entity Relation Graphs cites this paper.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Text-Conditioned Resampler For Long Form Video Understanding

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:53:28.894062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.047053Z digest=sha256:e27e41a26b52e549622075d67bca67f62b1125e318ef77063a6a5da6286b0f70