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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:40:44.376910Z

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T04:10:17.251713Z digest=sha256:67314b9009f9e21c4727fe69d4f980ed97684923bc6f0c47483f6df3daec3cc8

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:4a9397909e6ba5b2d2dd3747d52ac338290a7ffd7c08782940e132ae999976f3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T20:19:20.382009Z digest=sha256:93238fae346dcc203dcbfb7f43d68c7ba1effd911dcb630f3f6ca660da982c44

Observation 624d1bc3-e9d0-4b40-b2aa-74a648f42db7 · inbound

One STEP at a time: Language Agents are Stepwise Planners cites this paper.

One STEP at a time: Language Agents are Stepwise Planners Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T21:40:44.376910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:40:44.376910Z digest=sha256:35ad0bb79c819f3dbca737d3a27a697a7bce3909d441c97a8301f4195c1ce667

Observation 68cd952b-4b01-40ed-b170-ae8c0858a3d4 · inbound

Query-Efficient Planning with Language Models cites this paper.

Query-Efficient Planning with Language Models Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T20:04:07.562440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:04:07.562440Z digest=sha256:1dbbbf0af0dd88effe7a5a0ea1f8a4ac1b89b6b340a4a83e8dd3416ed9727bb1

Observation d1e736d7-2c17-4022-a946-ca16ccb02bb1 · inbound

A theory of appropriateness with applications to generative artificial intelligence cites this paper.

A theory of appropriateness with applications to generative artificial intelligence Large Language Models as Commonsense Knowledge for Large-Scale Task Planning

Reference 1957

Resolution
unresolved
no resolver link, observed 2026-08-11T01:04:06.685683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T01:04:06.685683Z digest=sha256:9f95dddcd1174e717e77e55576c3c82c9939845abcfe7697ac3b92946067b6f1

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.

source=arxiv_source observed=2026-08-06T15:40:03.500529Z digest=sha256:7aa6a231e4139390cc9827da3220293657e9c01bf5df770573bdcc85cf8b78a2

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T15:16:30.448400Z digest=sha256:450516332060eca44865adcc1bd622441ec104744ed616e55830413958506faa

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-29T04:46:11.090693Z digest=sha256:76a694470297cd30920a4b949499b66f0447577216436d88545937667cfb4f1f

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-03T22:41:41.912274Z digest=sha256:c21e83cd48bf78f54db6297db23cd9544c6f29636c776072f48456e06c55d964