Paper Citation Record · LEDGER

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.31492.

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

pith.paper-citation-record.v1
2605.31492 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:04:56.620892Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact10
verified fuzzy0
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1eeed565-6385-4b51-9539-46f8b6c3f328 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Graph of thoughts: Solving elaborate problems with large language models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54084f78-0960-4e64-ae7c-7e8fa0fe1b1a · outbound

This paper cites Toward Adaptive Reasoning in Large Language Models with Thought Rollback.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Toward Adaptive Reasoning in Large Language Models with Thought Rollback

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:10.718320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 702fa0b5-55ef-455d-91d5-7da17a1dc75d · outbound

This paper cites Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:10.715378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 764d1de7-2243-4b6d-ad7d-c05a1b9298e7 · outbound

This paper cites Xgrammar: Flexible and efficient structured generation engine for large language models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Xgrammar: Flexible and efficient structured generation engine for large language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89228cad-edf0-4153-9d8d-d23c7f1521c2 · outbound

This paper cites An investigation of model-free planning: boxoban levels.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories An investigation of model-free planning: boxoban levels

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2069788-ae6d-4eb7-9637-a5ef596675b4 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:46:10.712539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bf42e80-d6c1-4dab-bcfc-28c04e44915e · outbound

This paper cites Reason- ing with language model is planning with world model.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Reason- ing with language model is planning with world model

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdea2130-d137-4f3b-8d37-7bc2a545a73f · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths.IEEE transactions on Systems Science and Cybernetics, 4(2):100–107, 1968.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories A formal basis for the heuristic determination of minimum cost paths.IEEE transactions on Systems Science and Cybernetics, 4(2):100–107, 1968

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bf6f442-26cb-45a4-83e0-76964ed60272 · outbound

This paper cites OpenAI o1 System Card.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories OpenAI o1 System Card

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:46:10.700190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4b5d7478-5d0f-4542-a28c-190cc79a3e04 · outbound

This paper cites Sokoban: A challenging single-agent search problem.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Sokoban: A challenging single-agent search problem

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c681f3-e2cd-4867-b58b-22f466ea715a · outbound

This paper cites Thought of search: Planning with language models through the lens of efficiency.Advances in Neural Information Processing Systems, 37:138491–138568, 2024.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Thought of search: Planning with language models through the lens of efficiency.Advances in Neural Information Processing Systems, 37:138491–138568, 2024

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b610586-5d45-4cfa-beec-e4174f2d53dc · outbound

This paper cites LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:10.711009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad9a7ed1-1628-430c-b59e-6fb2d94eaf5e · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594, 2023.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Self-refine: Iterative refinement with self-feedback.Advances in neural information processing systems, 36:46534–46594, 2023

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11edb298-419c-439e-bd94-cdcddac3a5db · outbound

This paper cites Llm-a*: Large language model enhanced incremental heuristic search on path planning.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Llm-a*: Large language model enhanced incremental heuristic search on path planning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5967adf4-e938-4025-b29d-b73d943ea467 · outbound

This paper cites Learning to search from demonstration sequences.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Learning to search from demonstration sequences

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0c9338-983e-4520-9719-ea801eec6c3f · outbound

This paper cites Show your work: Scratchpads for intermediate computation with language models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Show your work: Scratchpads for intermediate computation with language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963cb0d7-d307-4b96-b400-98ed6ad6ab5b · outbound

This paper cites Heuristics: intelligent search strategies for computer problem solving.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Heuristics: intelligent search strategies for computer problem solving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4bf4e19-06f7-4ca0-8a10-1ac00f77b9e5 · outbound

This paper cites Diversity and dissimilarity coefficients: a unified approach.Theoretical population biology, 21(1):24–43, 1982.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Diversity and dissimilarity coefficients: a unified approach.Theoretical population biology, 21(1):24–43, 1982

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d07d0ad-a9c6-4b54-b876-4642ec88705b · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:10.708211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b644dde4-4cc9-4c0a-a91f-8531b2c44550 · outbound

This paper cites Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:46:10.707271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fe9948bc-09d3-4217-abdd-7c0f4995ef15 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:46:10.716739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5ff79b66-8fe9-4686-955a-6dd38c248e8c · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Reflexion: Language agents with verbal reinforcement learning.Advances in neural information processing systems, 36:8634–8652, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d850eefc-61b1-4fa9-8d61-b33067160287 · outbound

This paper cites Towards clause-learning state space search: Learning to recognize dead-ends.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Towards clause-learning state space search: Learning to recognize dead-ends

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188f864c-a33d-47c3-8356-0199bfdbbe36 · outbound

This paper cites Large language models still can’t plan (a benchmark for llms on planning and reasoning about change).

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Large language models still can’t plan (a benchmark for llms on planning and reasoning about change)

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2fa263d-8126-4522-a0cf-2d17279583c9 · outbound

This paper cites Don’t get lost in the trees: Streamlining llm reasoning by overcoming tree search exploration pitfalls.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Don’t get lost in the trees: Streamlining llm reasoning by overcoming tree search exploration pitfalls

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5aa5a5a-33e2-436a-90f2-82290f42ae0b · outbound

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

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Chain-of-thought prompting elicits reasoning in large language models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37216874-cba6-47b4-80cb-4a27ff7781a4 · outbound

This paper cites Self-evaluation guided beam search for reasoning.Advances in Neural Information Processing Systems, 36:41618–41650, 2023.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Self-evaluation guided beam search for reasoning.Advances in Neural Information Processing Systems, 36:41618–41650, 2023

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268c2a66-41d0-41a2-8ed5-c2d3d4ae91eb · outbound

This paper cites Qwen3 Technical Report.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Qwen3 Technical Report

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:46:10.709923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 509d7e0c-1df3-4330-8392-0677274d4063 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-28T22:04:56.620892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9cf76ba-9c94-457f-a339-d399f399acaa · outbound

This paper cites Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:46:10.689189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d84c0d7-4073-4e7b-a9b4-865477fd9813 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

LinTree: Improving LLM Reasoning with Explicitly Structured Search Histories Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T19:46:10.694356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.