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Paper Citation Record · LEDGER

Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.10698.

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

pith.paper-citation-record.v1
2402.10698 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:44.040102Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:56:37.935051Z

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 6a824be7-691e-4ac4-bb92-11c4b11b12ca · inbound

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process cites this paper.

ReasVQA: Advancing VideoQA with Imperfect Reasoning Process Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:56:37.940672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-10T15:56:37.617733Z digest=sha256:28eebe2e388e1ae531890c9bd6dfc16757bee9b7f2be8b2f7406bac62c5c5299

Observation ea23b79a-d636-4a5f-9585-088fc0a12db6 · inbound

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes cites this paper.

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes Question-Instructed Visual Descriptions for Zero-Shot Video Question Answering

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T23:50:44.040102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:50:44.040102Z digest=sha256:fd2611e1ed0188b2b329a0cc36aa589da269aff542b226c210c16eef364e4138