Paper Citation Record · LEDGER

Improving Large Language Model Planning with Action Sequence Similarity

As of 20 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 2 inbound Pith citation observations for arXiv:2505.01009.

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

pith.paper-citation-record.v1
2505.01009 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:35:58.065689Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:31.124698Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T16:10:31.627392Z

Reference resolution

59 of 59 outbound references displayed

verified exact1
verified fuzzy12
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4592fcf4-496a-4c0c-8cea-ccbf75df581c · outbound

This paper cites GPT-4 Technical Report.

Improving Large Language Model Planning with Action Sequence Similarity GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.794065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12d474df-c7ea-4355-92da-5f2aa72a713a · outbound

This paper cites Pddl| the planning domain definition language.

Improving Large Language Model Planning with Action Sequence Similarity Pddl| the planning domain definition language

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.806613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7af05c12-9f47-4764-942f-c899b488ec92 · outbound

This paper cites Chan, Biao Zhang, Aleksandra Faust, and Hugo Larochelle.

Improving Large Language Model Planning with Action Sequence Similarity Chan, Biao Zhang, Aleksandra Faust, and Hugo Larochelle

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.654444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ea24132c-ffcd-4641-95dd-12950d2d4299 · outbound

This paper cites Introducing the next generation of claude, 2024.

Improving Large Language Model Planning with Action Sequence Similarity Introducing the next generation of claude, 2024

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.815606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 828a071c-5581-4ddc-a472-79d8d32b5087 · outbound

This paper cites Graph of Thoughts: Solving Elaborate Problems with Large Language Models.

Improving Large Language Model Planning with Action Sequence Similarity Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.819689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b32de92d-4c04-4b58-8aed-131b43b019e6 · outbound

This paper cites Large language models can implement policy iteration.

Improving Large Language Model Planning with Action Sequence Similarity Large language models can implement policy iteration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.634750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3abd0cc3-652b-4469-b8ae-e76fa0f22871 · outbound

This paper cites Language Models are Few-Shot Learners.

Improving Large Language Model Planning with Action Sequence Similarity Language Models are Few-Shot Learners

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.832934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7529b37-f05d-4ee2-98cf-a4100a01c3c0 · outbound

This paper cites Learning to Retrieve Iteratively for In-Context Learning.

Improving Large Language Model Planning with Action Sequence Similarity Learning to Retrieve Iteratively for In-Context Learning

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-16T04:35:58.357296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b383ad23-4abf-46b0-a66d-5a323f11a096 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Improving Large Language Model Planning with Action Sequence Similarity PaLM: Scaling Language Modeling with Pathways

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.840862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7dbf612-9cf8-40f8-a6a2-5b6fda1f3e9d · outbound

This paper cites Mind2web: Towards a generalist agent for the web, 2023.

Improving Large Language Model Planning with Action Sequence Similarity Mind2web: Towards a generalist agent for the web, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.863223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3c1de3-894f-48fb-8922-1a3963a63a77 · outbound

This paper cites The Llama 3 Herd of Models.

Improving Large Language Model Planning with Action Sequence Similarity The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.871037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d5ba60b-cea5-43e5-818d-47995ebca414 · outbound

This paper cites A new algorithm for data compression.

Improving Large Language Model Planning with Action Sequence Similarity A new algorithm for data compression

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.874623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f3f2d7c-1874-4869-a2df-d2c3276e82ee · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Improving Large Language Model Planning with Action Sequence Similarity Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.877899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4dcf8d7-e595-4300-bbf5-95a165cf5dfd · outbound

This paper cites Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents.

Improving Large Language Model Planning with Action Sequence Similarity Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.881184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1230938f-f5cb-49a9-87b8-ee832163e790 · outbound

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

Improving Large Language Model Planning with Action Sequence Similarity Reasoning with Language Model is Planning with World Model

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.884625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54d6228e-a8b9-4332-9b37-ca6c1548feb6 · outbound

This paper cites Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools.

Improving Large Language Model Planning with Action Sequence Similarity Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.888260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a39afa9-80e2-426d-8d4a-a806a74e28d1 · outbound

This paper cites What's the Plan? Evaluating and Developing Planning-Aware Techniques for Language Models.

Improving Large Language Model Planning with Action Sequence Similarity What's the Plan? Evaluating and Developing Planning-Aware Techniques for Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.891854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e22ced0-10bc-4e16-9010-2faa9bea92f7 · outbound

This paper cites Hddl: An extension to pddl for expressing hierarchical planning problems.

Improving Large Language Model Planning with Action Sequence Similarity Hddl: An extension to pddl for expressing hierarchical planning problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.896468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a84a6551-7f5c-48c6-b925-2b5bf88cfd79 · outbound

This paper cites Val: Automatic plan validation, continuous effects and mixed initiative planning using pddl.

Improving Large Language Model Planning with Action Sequence Similarity Val: Automatic plan validation, continuous effects and mixed initiative planning using pddl

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.610574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 873bb60c-fd24-4252-91aa-62dd0c593836 · outbound

This paper cites Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning.

Improving Large Language Model Planning with Action Sequence Similarity Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.903526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c567e9b-1738-4659-b60f-ba94d29fa996 · outbound

This paper cites Position: LLM s can’t plan, but can help planning in LLM -modulo frameworks.

Improving Large Language Model Planning with Action Sequence Similarity Position: LLM s can’t plan, but can help planning in LLM -modulo frameworks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.907139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d28dc11-f752-4383-9470-cb2a41afc645 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Improving Large Language Model Planning with Action Sequence Similarity Dense passage retrieval for open-domain question answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.912013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64ae053-95b5-4d84-9ad2-cc3c3d663cbe · outbound

This paper cites Khashabi, S.

Improving Large Language Model Planning with Action Sequence Similarity Khashabi, S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.591537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 59d4cdb4-1e30-44c1-ab79-58be2e013d49 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Improving Large Language Model Planning with Action Sequence Similarity Gonzalez, Hao Zhang, and Ion Stoica

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.921165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d92bb20-9549-4408-8323-224e0c12a925 · outbound

This paper cites Gecko: Versatile Text Embeddings Distilled from Large Language Models.

Improving Large Language Model Planning with Action Sequence Similarity Gecko: Versatile Text Embeddings Distilled from Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.924966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cf085e6-f3a8-441f-8954-cc2bd6b89d07 · outbound

This paper cites Beyond a*: Better planning with transformers via search dynamics bootstrapping.

Improving Large Language Model Planning with Action Sequence Similarity Beyond a*: Better planning with transformers via search dynamics bootstrapping

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.572603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9c5a5a54-a299-4f9d-8e47-9cfaef148557 · outbound

This paper cites Levesque, Ernest Davis, and Leora Morgenstern.

Improving Large Language Model Planning with Action Sequence Similarity Levesque, Ernest Davis, and Leora Morgenstern

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.933019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51e69ff7-a192-479e-8846-a40c306157df · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

Improving Large Language Model Planning with Action Sequence Similarity Self-refine: Iterative refinement with self-feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.936471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3234bd64-daa6-42a6-bb21-3dc405b5ea98 · outbound

This paper cites BAGEL: Bootstrapping Agents by Guiding Exploration with Language.

Improving Large Language Model Planning with Action Sequence Similarity BAGEL: Bootstrapping Agents by Guiding Exploration with Language

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.940016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b33f4e-f7d7-458f-8b20-23f286618714 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

Improving Large Language Model Planning with Action Sequence Similarity Modern hierarchical, agglomerative clustering algorithms

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.943767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f143cfa-7e60-4edf-be16-ab9a115ff1c5 · outbound

This paper cites Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models.

Improving Large Language Model Planning with Action Sequence Similarity Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.947227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbfcf70d-db27-4c7b-ad6d-6b8868856a43 · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

Improving Large Language Model Planning with Action Sequence Similarity Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.950890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac503752-75b1-476d-8561-67d562fdc1eb · outbound

This paper cites Learning to retrieve prompts for in-context learning.

Improving Large Language Model Planning with Action Sequence Similarity Learning to retrieve prompts for in-context learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.954527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac6fb6f0-00b3-4d59-9461-957787d8fd8d · outbound

This paper cites It ' s not just size that matters: Small language models are also few-shot learners.

Improving Large Language Model Planning with Action Sequence Similarity It ' s not just size that matters: Small language models are also few-shot learners

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.958765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c95f8d5-2ae9-4601-8bb5-214ef8e8091d · outbound

This paper cites ALFWorld: Aligning Text and Embodied Environments for Interactive Learning.

Improving Large Language Model Planning with Action Sequence Similarity ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.962290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6539c71-e48c-4a3b-accb-a03af89302e4 · outbound

This paper cites Generalized planning in PDDL domains with pretrained large language models.

Improving Large Language Model Planning with Action Sequence Similarity Generalized planning in PDDL domains with pretrained large language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.540030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13f17c96-e961-47d7-a268-36758b7dcb35 · outbound

This paper cites Together ai, 2024.

Improving Large Language Model Planning with Action Sequence Similarity Together ai, 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.527653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4df0fa28-d680-4b49-9f6f-93656325b3f4 · outbound

This paper cites Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change.

Improving Large Language Model Planning with Action Sequence Similarity Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.515171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e94f8787-a84e-45d3-8308-86c428250c5b · outbound

This paper cites On the planning abilities of large language models-a critical investigation.

Improving Large Language Model Planning with Action Sequence Similarity On the planning abilities of large language models-a critical investigation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.502883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c654fc44-206a-4b44-81d0-6278b256f792 · outbound

This paper cites Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change.

Improving Large Language Model Planning with Action Sequence Similarity Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.982163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d4292ff-0cdd-48f0-a7f7-1fc27145e771 · outbound

This paper cites Agent Workflow Memory.

Improving Large Language Model Planning with Action Sequence Similarity Agent Workflow Memory

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.986314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a351027-d2ca-4cf6-9694-bd9a5767c600 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Improving Large Language Model Planning with Action Sequence Similarity Chain-of-thought prompting elicits reasoning in large language models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.990906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cf9a27-0db0-4779-860a-45ce3d45701e · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Improving Large Language Model Planning with Action Sequence Similarity Generating Sequences by Learning to Self-Correct

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.995465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac2e8b07-36e9-46be-ae62-5ab45895fb73 · outbound

This paper cites Travelplanner: A benchmark for real-world planning with language agents.

Improving Large Language Model Planning with Action Sequence Similarity Travelplanner: A benchmark for real-world planning with language agents

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:57.999597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4c3ba38-7a0e-43d9-8ac8-2f23d088d98e · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Improving Large Language Model Planning with Action Sequence Similarity Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.004159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab2a8185-e0c0-4385-a4ec-f32997d37762 · outbound

This paper cites Compositional exemplars for in-context learning.

Improving Large Language Model Planning with Action Sequence Similarity Compositional exemplars for in-context learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.468898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bcf30e08-fe15-410d-95b1-59a487b472da · outbound

This paper cites Star: Bootstrapping reasoning with reasoning.

Improving Large Language Model Planning with Action Sequence Similarity Star: Bootstrapping reasoning with reasoning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.012026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2686966-3d10-476e-99ef-abe3d9cc3ad2 · outbound

This paper cites Active E xample S election for I n- C ontext L earning.

Improving Large Language Model Planning with Action Sequence Similarity Active E xample S election for I n- C ontext L earning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.016133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be9861c-edd5-48be-bb7a-18c7e4ecea39 · outbound

This paper cites Automatic chain of thought prompting in large language models.

Improving Large Language Model Planning with Action Sequence Similarity Automatic chain of thought prompting in large language models

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.449738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0b50b6a1-c395-43f2-b791-50fad47bc611 · outbound

This paper cites Thrust: Adaptively propels large language models with external knowledge.

Improving Large Language Model Planning with Action Sequence Similarity Thrust: Adaptively propels large language models with external knowledge

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:35:58.437173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1081c0eb-8977-495b-8d60-5627da2e084b · outbound

This paper cites Exploring and Benchmarking the Planning Capabilities of Large Language Models.

Improving Large Language Model Planning with Action Sequence Similarity Exploring and Benchmarking the Planning Capabilities of Large Language Models

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.030091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0da7eaf8-e1e4-4403-b6b6-6dbb5d22e07f · outbound

This paper cites Synapse: Trajectory-as-exemplar prompting with memory for computer control.

Improving Large Language Model Planning with Action Sequence Similarity Synapse: Trajectory-as-exemplar prompting with memory for computer control

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.035356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12daee26-8db6-4bf4-90c8-afa2c168f039 · outbound

This paper cites Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning.

Improving Large Language Model Planning with Action Sequence Similarity Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.039541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a61a9dc3-b05d-475c-93ba-229754d79118 · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

Improving Large Language Model Planning with Action Sequence Similarity WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.043757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018f460b-0595-4e58-99f7-bfe7db35f024 · outbound

This paper cites A formal perspective on byte-pair encoding.

Improving Large Language Model Planning with Action Sequence Similarity A formal perspective on byte-pair encoding

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.047879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3838fc67-c6c6-425e-bef2-89e218581b83 · outbound

This paper cites write newline.

Improving Large Language Model Planning with Action Sequence Similarity write newline

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.051645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01455f75-d844-4f16-ac2d-c923f298eebe · outbound

This paper cites @esa (Ref.

Improving Large Language Model Planning with Action Sequence Similarity @esa (Ref

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T04:35:58.056439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1463a6a7-9d4b-4a72-801f-b9fb8ab8d3b8 · outbound

This paper cites an unresolved cited work.

Improving Large Language Model Planning with Action Sequence Similarity Unresolved cited work

Reference 59

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Improving Large Language Model Planning with Action Sequence Similarity Unresolved cited work

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Get Experience from Practice: LLM Agents with Record & Replay cites this paper.

Get Experience from Practice: LLM Agents with Record & Replay Improving Large Language Model Planning with Action Sequence Similarity

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The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity cites this paper.

The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity Improving Large Language Model Planning with Action Sequence Similarity

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