Paper Citation Record · LEDGER

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 inbound Pith citation observations for arXiv:2402.01817.

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

pith.paper-citation-record.v1
2402.01817 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:18:36.345518Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

10
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a0d68c15-a524-4118-833a-068d68515176 · inbound

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

One STEP at a time: Language Agents are Stepwise Planners LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T21:40:44.254422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db7c4899-35cf-454e-807a-f1e409a3671b · inbound

Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software cites this paper.

Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T16:42:23.469235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e48622f-3829-4ee0-8143-fb1e87941785 · inbound

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games cites this paper.

BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T16:21:08.213660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed5eaef8-bcbf-4c22-9682-ae5b26b71701 · inbound

A Survey on Human-Centric LLMs cites this paper.

A Survey on Human-Centric LLMs LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-12T16:42:08.208048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4297028-95fd-4056-a5fa-6c60df6d24f1 · inbound

One to rule them all: natural language to bind communication, perception and action cites this paper.

One to rule them all: natural language to bind communication, perception and action LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T14:38:25.176934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493c13b4-9c45-4bf9-b3c3-8955a2392c41 · inbound

Transformers Struggle to Learn to Search cites this paper.

Transformers Struggle to Learn to Search LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T21:23:18.674748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976830a2-fc41-4ff0-bc14-1cdfa8a0039b · inbound

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

On the Limit of Language Models as Planning Formalizers LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T16:41:11.181871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52f255aa-90eb-45ea-b340-44e030371b38 · inbound

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design cites this paper.

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T20:26:29.231090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9396374a-002a-4bdc-971f-95e14ebec8a8 · inbound

Disentangling Exploration of Large Language Models by Optimal Exploitation cites this paper.

Disentangling Exploration of Large Language Models by Optimal Exploitation LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T20:18:58.315070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7dd7d27-af97-4d77-ad04-d4254582bd64 · inbound

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant cites this paper.

Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T15:31:48.264215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21bb43d1-ed60-4aaf-9670-c37aebba8549 · inbound

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models cites this paper.

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T12:09:18.742572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03cc6b19-91f4-42af-b502-393f4edf18d8 · inbound

Policy Guided Tree Search for Enhanced LLM Reasoning cites this paper.

Policy Guided Tree Search for Enhanced LLM Reasoning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T11:20:31.804544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38d1109d-318d-4081-9145-4ad08567a585 · inbound

Spectral Journey: How Transformers Predict the Shortest Path cites this paper.

Spectral Journey: How Transformers Predict the Shortest Path LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T23:44:10.819742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d747a633-f086-48e2-b137-3f95233d6144 · 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 LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 205

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:42:11.087976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbc1452d-7c50-43ed-ad71-5cb2248cd775 · inbound

Learning Compositional Behaviors from Demonstration and Language cites this paper.

Learning Compositional Behaviors from Demonstration and Language LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:43.916431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a36ab972-9669-4cdf-b207-c73a9cf588de · inbound

Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise cites this paper.

Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:22.927493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ac3390-f63c-4e68-9c77-aba696767cee · inbound

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering cites this paper.

Integrating Neural and Symbolic Components in a Model of Pragmatic Question-Answering LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:47:00.244780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b309fd-0019-4814-8f5e-ae63e4f89eea · inbound

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models cites this paper.

Token Signature: Predicting Chain-of-Thought Gains with Token Decoding Feature in Large Language Models LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T06:09:18.782339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa545343-ac7d-4ef7-a1e1-a63f2cfaeb9f · inbound

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture cites this paper.

One For All: LLM-based Heterogeneous Mission Planning in Precision Agriculture LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:03.983119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb1d3949-bc8d-4bda-92b4-a7d4ffe1d5fb · inbound

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective cites this paper.

Can LLMs Generate Good Stories? Insights and Challenges from a Narrative Planning Perspective LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:38:20.457911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c2cda3-4e2e-49cc-8ba0-2d0081f64d95 · inbound

GenPlanX. Generation of Plans and Execution cites this paper.

GenPlanX. Generation of Plans and Execution LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T04:18:24.013731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 686fdf64-0ef4-4ef1-bdea-0c94ffab6a21 · inbound

xInv: Explainable Optimization of Inverse Problems cites this paper.

xInv: Explainable Optimization of Inverse Problems LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:32.800829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ceaeb7e-002e-4659-9f89-320e7d1bfcba · inbound

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:13:12.873393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53415e07-ba5a-4457-8021-3a676a94225b · inbound

Initial Steps in Integrating Large Reasoning and Action Models for Service Composition cites this paper.

Initial Steps in Integrating Large Reasoning and Action Models for Service Composition LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T14:33:53.650053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55d13dc1-fee7-47bf-84bd-875aa37103c7 · inbound

LOOP: A Plug-and-Play Neuro-Symbolic Framework for Enhancing Planning in Autonomous Systems cites this paper.

LOOP: A Plug-and-Play Neuro-Symbolic Framework for Enhancing Planning in Autonomous Systems LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T17:18:36.345518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a56b82d5-5705-43c0-8c0f-1ada86eb6530 · inbound

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning cites this paper.

LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:21:32.896347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 009533a7-f80b-4e22-81be-c4e2dd986977 · inbound

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream cites this paper.

A Systematic Study of Large Language Models for Task and Motion Planning With PDDLStream LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T13:30:29.535979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb99b28-1a31-411e-93da-8d2e27422c4f · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 203

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:15.448972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 927a4ba2-3813-4ebc-8abc-01c862e10dba · inbound

End-to-end PDDL Planning with Hardcoded and Dynamic Agents cites this paper.

End-to-end PDDL Planning with Hardcoded and Dynamic Agents LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:38:41.637335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ab0e495-6dde-4e95-814c-9b82ec971f1e · inbound

LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? cites this paper.

LLM-WikiRace Benchmark: How Far Can LLMs Plan over Real-World Knowledge Graphs? LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T22:26:36.552118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96d0e916-d764-4587-863a-0b67591a5430 · inbound

Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym cites this paper.

Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:35:50.706338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1c8e1f5-a274-47c3-939f-75dfa5518e41 · inbound

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems cites this paper.

Automatic Ontology Construction Using LLMs as an External Layer of Memory, Verification, and Planning for Hybrid Intelligent Systems LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:06:02.955898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 165080df-86f9-4d48-9fde-f42acb62ed36 · inbound

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents cites this paper.

Bridging Values and Behavior: A Hierarchical Framework for Proactive Embodied Agents LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:06:29.549803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 20c3c97a-8f5f-407a-8d6c-428d9bd52bd5 · inbound

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning cites this paper.

U-Define: Designing User Workflows for Hard and Soft Constraints in LLM-Based Planning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:35:38.950948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 46250740-13a2-4bb8-846d-0ae59cd8b411 · inbound

Do LLMs have core beliefs? cites this paper.

Do LLMs have core beliefs? LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:11:18.670232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3cf8695-a7a1-4830-b41e-6cea66838f70 · inbound

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning cites this paper.

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:56:08.641923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89923905-0454-4f24-ab81-4ad0940f12d5 · inbound

Zero-Shot Goal Recognition with Large Language Models cites this paper.

Zero-Shot Goal Recognition with Large Language Models LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:12:39.247055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 42a9a278-944b-43fa-b9e3-eb6fc006caca · inbound

Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers cites this paper.

Trivium: Temporal Regret as a First-Class Objective for Causal-Memory Controllers LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:56:46.959094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 44b996fd-7a41-47ac-bb9c-f2d8da540164 · inbound

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model cites this paper.

Towards Persistent Case-Based Memory for Autonomous Data Science: A CBR-Augmented R&D-Agent with a Locally Deployable Small Language Model LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-02T10:06:51.732432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8d1ae17b-4864-4dd4-a691-3de395dd27a2 · inbound

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents cites this paper.

Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Agents LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:59:38.163997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8e711dcb-0dc2-413b-9afa-726547534b7b · inbound

Autoformalization of Agent Instructions into Policy-as-Code cites this paper.

Autoformalization of Agent Instructions into Policy-as-Code LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:50.299118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be02bebd-2eca-4acb-8b7a-4b04c96e3b1b · 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 LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T11:37:35.542449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f69c0ca-ffff-49a8-bb4b-8aa467a6eecb · inbound

Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning cites this paper.

Search, Fail, Recover: A Training Framework for Correction-Aware Reasoning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-09T09:26:08.762874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 569b99ad-79d5-4f45-b268-bc779a71ca7f · inbound

SymStep: Symbolic Step Verification for Logical Reasoning cites this paper.

SymStep: Symbolic Step Verification for Logical Reasoning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-01T03:48:25.157404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c67c4d6c-9f67-4f5e-b82e-422c8d561fbf · inbound

Confidently Wrong: Exception Chain Collapse in Frontier LLM Rule Evaluation cites this paper.

Confidently Wrong: Exception Chain Collapse in Frontier LLM Rule Evaluation LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-30T23:41:20.205703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ccee108-c359-4554-8e37-9ef681edad41 · inbound

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning cites this paper.

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-30T15:14:05.548347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.