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Paper Citation Record · LEDGER

Question-Answering Dense Video Events

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.04388.

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

pith.paper-citation-record.v1
2409.04388 v5

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:29:21.886373Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:32:19.419023Z

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 34393161-975c-44b4-a476-336271239f40 · inbound

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering cites this paper.

MUPA: Towards Multi-Path Agentic Reasoning for Grounded Video Question Answering Question-Answering Dense Video Events

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T23:29:21.886373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:29:21.886373Z digest=sha256:86750686109a9fc7f41abbbe256ab77ec372dc16153f21eac6b459c3ee4c9d23

Observation 572dbd7c-2733-4873-b333-0f651e326e04 · inbound

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs cites this paper.

OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs Question-Answering Dense Video Events

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T22:41:10.769779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:41:10.769779Z digest=sha256:a2327bb7219c71ec864ce8cab2af5a49967ba4280f7afa895d3ab190399649c1

Observation 8094023f-5c7d-4f0c-95cf-a041a5174776 · inbound

A Survey on Video Temporal Grounding with Multimodal Large Language Model cites this paper.

A Survey on Video Temporal Grounding with Multimodal Large Language Model Question-Answering Dense Video Events

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:32:19.423928Z

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=arxiv_source observed=2026-08-05T23:32:17.590085Z digest=sha256:e954be599c30264f36c248f9f8dec038a760faedf8bd68794e6eefa052f4040f