Pith. sign in

Paper Citation Record · LEDGER

On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2302.06706.

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

pith.paper-citation-record.v1
2302.06706 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:00.502126Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:09:22.793636Z

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 6bfcbbac-3fe3-45f8-8b96-ed98282d767d · inbound

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency cites this paper.

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T18:36:18.466060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T18:36:18.342052Z digest=sha256:34488fdc41df3e5a66777cb660dcb8a7235bef5646272a415497fcd5fa694fd5

Observation 25d9af34-d345-447d-8ff9-2ef28cefe71f · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 84

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T01:49:28.975363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-17T01:49:28.796581Z digest=sha256:18022ad2403380327874b8134f3f5880cdbb42f769d17dad1e6926773d1d64df

Observation d77c8daa-726b-44aa-9ded-cd0d7e5cbdb3 · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 125

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:47:47.852635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:dca1a43ddb3eb19fce5c0a2aa0014fe08a81a4ae7ad745b97acd0b77d71768bd

Observation 79d13a34-4f6e-4da8-ab24-1172bd9e3fde · inbound

Evaluating LLMs Capabilities Towards Understanding Social Dynamics cites this paper.

Evaluating LLMs Capabilities Towards Understanding Social Dynamics On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T16:59:41.648306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:59:41.648306Z digest=sha256:91f3bd8e55eee9fdeee3874b9b8678290e8e0a47b149414bd4a0bd8b6d778f78

Observation 7e1e35b3-0175-49b5-a2dd-36b1211e06a0 · inbound

Interactive and Expressive Code-Augmented Planning with Large Language Models cites this paper.

Interactive and Expressive Code-Augmented Planning with Large Language Models On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T15:55:20.925203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:55:20.925203Z digest=sha256:33330e4433476267af80cf93bc44364dbea0c398fb943df45146260e482a2f34

Observation ae0943b0-e518-4cf4-bc16-0c8b0b7ab285 · inbound

Can LLMs plan paths in the real world? cites this paper.

Can LLMs plan paths in the real world? On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T11:45:10.767759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:45:10.767759Z digest=sha256:ed5d3838fd9ce48a1d0c1321cb0b6e9f77a80168b7e57815b98d27349b6ebb85

Observation 11f6dcf8-2b12-4038-b5e6-cea15a5b9181 · inbound

From Words to Workflows: Automating Business Processes cites this paper.

From Words to Workflows: Automating Business Processes On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T22:27:10.902851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:27:10.902851Z digest=sha256:47226c95fb4b7fedc11c78b745dc7d48296d8326b2897fceb8533f0002615d0b

Observation 28fa4c6e-9721-4108-a416-827f726d2fe5 · inbound

On the Limit of Language Models as Planning Formalizers cites this paper.

On the Limit of Language Models as Planning Formalizers On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T16:41:11.240743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:41:11.240743Z digest=sha256:b63059e7c2676c3ccdcd4af4a2b27e1b289708f1a155b6b5887200b7dc8ef713

Observation b0013329-c5c0-4d07-9b7a-aa1347912ba5 · inbound

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks cites this paper.

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-16T10:12:00.502126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:00.502126Z digest=sha256:524d3a2c414b3db482004918acec3a7909d01d4c319c992dfd7d9e91699a7cf4

Observation f9cde2d5-c12e-463a-a604-cfcf3e8c3bbc · inbound

Iterative Formalization and Planning in Partially Observable Environments cites this paper.

Iterative Formalization and Planning in Partially Observable Environments On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-22T14:24:53.557439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-22T14:24:32.031008Z digest=sha256:36db1a29a09ddd62b4c1ca1ba0bbdd0f24029096ae17faca3a546df3baec9314

Observation dc7beae6-7431-4f1c-89b1-f9bab7397d54 · inbound

From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning cites this paper.

From Templates to Natural Language: Generalization Challenges in Instruction-Tuned LLMs for Spatial Reasoning On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:44.458229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:38:44.458229Z digest=sha256:d9fb267c6c6bb54a4390acd1878cd7680c03fe3a886d72fa277d194491c86ce2

Observation c885792f-c658-45ed-9629-886f888e69f5 · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 249

Resolution
unresolved
no resolver link, observed 2026-08-07T14:12:07.411623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:12:07.411623Z digest=sha256:7a6622afd80422ff8d58255cd3c191daf54ae6bdc405c5129aff5499d74c7d41

Observation 41782489-a61c-4f3b-aa50-56c7310734e8 · inbound

Synthesis by Design: Controlled Data Generation via Structural Guidance cites this paper.

Synthesis by Design: Controlled Data Generation via Structural Guidance On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:23.263492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:23.263492Z digest=sha256:75d08051fa5b1240410fbc6fb1b6f8f9cb1d7dbee3af545e9accc1a1682b4c78

Observation e4622c08-d8cc-4ff3-a4e8-c3fed3731697 · inbound

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey cites this paper.

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:19.552446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:19.552446Z digest=sha256:e0ad858af1c526dd3023edb206ccb7925c64dfd7d46633152d55715bb6126a29

Observation 05f93942-02a6-42f4-af4a-2c03df8493c6 · inbound

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents cites this paper.

HERAKLES: Hierarchical Skill Compilation for Open-ended LLM Agents On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T18:24:29.091692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:24:29.091692Z digest=sha256:47904bbd36ff5ebbcecb4cd0009ba6a61482a733b5af6722e664930705757c7c

Observation ac4b174e-e474-43db-9250-61bdbdc666f9 · inbound

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning cites this paper.

Embodied Spatial Intelligence: from Implicit Scene Modeling to Spatial Reasoning On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 291

Resolution
unresolved
no resolver link, observed 2026-08-05T13:38:24.084787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:38:24.084787Z digest=sha256:ec1b74821f2b1ebe8335fa3877309d7d73a0552056b154ec46ae127e11b195b4

Observation d136aa95-f845-4816-8035-253ff2ece567 · inbound

SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection cites this paper.

SimRPD: Optimizing Recruitment Proactive Dialogue Agents through Simulator-Based Data Evaluation and Selection On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T12:33:00.546549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:33:00.546549Z digest=sha256:bc9803d6a2d166b8932434440f10a1b15830b3c927dc03a49db8a7e6fb778db5

Observation bd9fce68-ed3d-4c85-93d1-19918d24dfdf · inbound

Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization cites this paper.

Deterministic vs. LLM-Controlled Orchestration for COBOL-to-Python Modernization On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:16:29.053187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:25:03.381218Z digest=sha256:29677197819cf9d808f7db2c2e0d11c3b192bd40f65d08f4d54a36b76c82af8e

Observation d6d6de57-90bd-49ca-a7b1-542f0ba86f5a · inbound

HANSEL: Extracting Breadcrumbs from Web Agent Trajectories for Interactive Verification cites this paper.

HANSEL: Extracting Breadcrumbs from Web Agent Trajectories for Interactive Verification On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:09:22.795391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T19:58:23.151980Z digest=sha256:78e64e09adaf1ed3d363deb0a1c5940d566ea20088b9a44eb200d04682e61bd8

Observation af714e9b-4161-4c67-9c4c-adf655c44ee1 · inbound

Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback cites this paper.

Toward Secure and Reliable PDDL Formalization of Large Language Models with Planner-in-the-Loop Feedback On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T06:44:18.803068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T06:42:06.511267Z digest=sha256:68d25da5c5464c06916a22778889bae7628f48ca83d61d5cd7b24eeea3ca41b3

Observation 5230c2f2-9286-44b0-aa2a-869d19026063 · inbound

PACE: Adaptive Budget Allocation for Time-Efficient Embodied Planning cites this paper.

PACE: Adaptive Budget Allocation for Time-Efficient Embodied Planning On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T14:58:10.762040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:58:10.762040Z digest=sha256:394e10e2366e9ae39d1dd06360419ebdf5a07cb1ff9ca1697967c229cc6daa75