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Paper Citation Record · LEDGER

LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.01806.

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

pith.paper-citation-record.v1
2409.01806 v1

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 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:42:30.695376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:11.095337Z

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 7772ee80-6b06-4435-af9e-34fa23bbc24f · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning

Reference 201

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:11.098407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T21:39:49.832151Z digest=sha256:6faf670edb93738432c06e4b6300aecd9d748c4e5446e7d1c67e570619d37fd3

Observation 8d8762b8-1d70-4513-b343-7e784854a888 · inbound

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities cites this paper.

PLANET: A Collection of Benchmarks for Evaluating LLMs' Planning Capabilities LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T11:42:30.695376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:42:30.695376Z digest=sha256:3d7d50691b86d83f252aab974ec626f73af285057edeca7c5602ffb8b576a8e9

Observation 854512a2-1139-4ee9-abf0-69330173dd59 · inbound

Explain Before You Answer: A Survey on Compositional Visual Reasoning cites this paper.

Explain Before You Answer: A Survey on Compositional Visual Reasoning LASP: Surveying the State-of-the-Art in Large Language Model-Assisted AI Planning

Reference 249

Resolution
unresolved
no resolver link, observed 2026-08-15T17:09:18.458783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:09:18.458783Z digest=sha256:fd56e859b0403d7ce0d1404e7cb62a679653be8cf95ba2cc130dca7f907c0aa0