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Paper Citation Record · LEDGER

End-to-end Dense Video Captioning as Sequence Generation

As of 24 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.08121.

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

pith.paper-citation-record.v1
2204.08121 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 2026-07-24T06:31:00.690269+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-23T08:08:01.889675Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T08:12:43.860936Z

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 eb7e8160-44ca-4ce3-a7d1-d83e77ec7ef5 · inbound

TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos cites this paper.

TemporalVLM: Video LLMs for Temporal Reasoning in Long Videos End-to-end Dense Video Captioning as Sequence Generation

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-23T08:12:43.864618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-05-23T08:08:01.889675Z digest=sha256:c3ab40ea473f5a679311bc331ebee7fe6c8d5ed05c596ea621d03efdc93a8088

Observation b71f6b1a-554b-4367-b3b1-c747c1507f20 · inbound

DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation cites this paper.

DenseStep2M: A Scalable, Training-Free Pipeline for Dense Instructional Video Annotation End-to-end Dense Video Captioning as Sequence Generation

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:46:26.063111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-05-07T13:50:23.835653Z digest=sha256:0e9d2268604912db20c71ad8466a4fe580087d07d291c8414a1b37f5792a7279