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Paper Citation Record · LEDGER

ADAPT: Action-aware Driving Caption Transformer

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.00673.

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

pith.paper-citation-record.v1
2302.00673 v1

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:35:50.908115Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:15:04.883735Z

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 b1017120-30ea-4961-827e-10d4c064449a · inbound

Embodied Scene Understanding for Vision Language Models via MetaVQA cites this paper.

Embodied Scene Understanding for Vision Language Models via MetaVQA ADAPT: Action-aware Driving Caption Transformer

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:15:04.890239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T20:15:04.664367Z digest=sha256:30754781270aca865a4993f3ca7d1da72f72269d156adcecb523ebe5323d6284

Observation da2bda18-3c8b-4b61-ac99-5a53e6e7f05b · inbound

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models cites this paper.

VADER: Adaptive Debiasing for Hallucination Mitigation in Video Large Language Models ADAPT: Action-aware Driving Caption Transformer

Reference 172

Resolution
unresolved
no resolver link, observed 2026-08-14T04:35:50.908115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:35:50.908115Z digest=sha256:16bcd7b3e0276af44a7039246406ca8db8989ff7e94b810a8a9bda5bd7b18b8a