Paper Citation Record · LEDGER

Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.14078.

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

pith.paper-citation-record.v1
2305.14078 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:40:03.500529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T22:49:01.080552Z

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 27ace1ef-5cbc-4490-b4d2-e26c08aaca7f · inbound

Efficient Causal Graph Discovery Using Large Language Models cites this paper.

Efficient Causal Graph Discovery Using Large Language Models Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:25:28.639880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 84aabd02-1143-4e7a-9af8-e1d562bd897a · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:12:57.657358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 70bf29ac-20e3-4525-898a-620f6e51e191 · inbound

Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models cites this paper.

Towards Robust Surgical Automation via Digital Twin Representations from Foundation Models Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:23:24.902455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a0641e6-ab07-48d3-91c2-98949d508898 · inbound

ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling cites this paper.

ChiMed 2.0: Advancing Chinese Medical Dataset in Facilitating Large Language Modeling Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:03.500529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b6d42e-4735-4794-9d52-9db46d39e6e1 · inbound

Your Model Diversity, Not Method, Determines Reasoning Strategy cites this paper.

Your Model Diversity, Not Method, Determines Reasoning Strategy Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:56:02.663003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3dbeba5a-175a-45d8-a486-e0639f3fc9dc · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T19:23:54.376926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8a2d0f79-a814-4a6a-a035-0a656249d232 · inbound

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents cites this paper.

Agent vs. Parametric World Models: Hybrid Planning for Reliable Language Agents Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T22:49:01.083929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.