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Paper Citation Record · LEDGER

CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.01299.

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

pith.paper-citation-record.v1
2404.01299 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:41:34.157823Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:43:08.546066Z

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 26ca88a0-c234-4604-8968-4588616f8de3 · inbound

R^3-VQA: "Read the Room" by Video Social Reasoning cites this paper.

R^3-VQA: "Read the Room" by Video Social Reasoning CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T23:41:34.157823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:41:34.157823Z digest=sha256:744fcbc398c6eb30a48d4615fac073d1d1a4840cc3dd82d2210b9ba976d3c62d

Observation f5e412ca-fdd3-4dc9-9d33-1c1f18023792 · inbound

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges cites this paper.

Large Language Models for Crash Detection in Video: A Survey of Methods, Datasets, and Challenges CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:43:08.600662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T20:43:06.555774Z digest=sha256:fb9fed680d59bc54f5f30a7e36f9572269ceabe60fbfb726a8300ec5e88df38c