Paper Citation Record · LEDGER

Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2412.09078.

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

pith.paper-citation-record.v1
2412.09078 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:17:43.991573Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0d022c3a-287a-4c10-8a86-5da465749e62 · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.046281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 654d0e28-ee02-46d6-bf59-4075ae6ae759 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.217213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2834e64d-6ec3-411c-9030-a249492e2821 · inbound

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need cites this paper.

Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-06T16:17:43.991573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c26ef4ec-e54a-403d-9a3e-d34b11adfc6a · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 168

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:14.933529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 360e783b-fbb5-4efe-913f-ea5d6a947d32 · inbound

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs cites this paper.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.869231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e073bd-3845-4f63-b509-d082f46bf6f7 · inbound

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness cites this paper.

Explicit Reasoning Makes Better Judges: A Systematic Study on Accuracy, Efficiency, and Robustness Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:31:41.505306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f5f82a41-8ee9-44ae-86b6-ccc2a3aec38a · inbound

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search cites this paper.

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:12:35.836909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f65e2b77-d569-4f48-b587-ae48707b89e7 · inbound

Self-Reflective Generation at Test Time cites this paper.

Self-Reflective Generation at Test Time Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T12:41:42.303969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a3df5fd-f02c-4356-bca2-1dc717c278db · inbound

Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models cites this paper.

Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:56:13.113998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation e90d3606-b78c-489a-81de-17a3eeb9a798 · inbound

Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning cites this paper.

Re-FORC: Adaptive Reward Prediction for Efficient Chain-of-Thought Reasoning Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T00:18:52.530409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d2ac0bf-b775-47b6-b766-fa0590755ef2 · inbound

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning cites this paper.

CLEANER: Self-Purified Trajectories Boost Agentic Reinforcement Learning Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T09:01:48.241440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ffd052d-2e26-4db3-af79-49bbabbb687b · inbound

Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs cites this paper.

Framework of Thoughts: A Foundation Framework for Dynamic and Optimized Reasoning based on Chains, Trees, and Graphs Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T22:33:34.383148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8855ea0c-71e9-4f05-a63b-424eef1d3648 · inbound

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring cites this paper.

GroupRAG: Cognitively Inspired Group-Aware Retrieval and Reasoning via Knowledge-Driven Problem Structuring Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-02T17:29:45.196278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 289b28a3-a206-457f-b959-1ee7185a0a2e · inbound

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models cites this paper.

TDA-RC: Task-Driven Alignment for Knowledge-Based Reasoning Chains in Large Language Models Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:25:35.930889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation eade4b83-618a-4a13-bd6d-1a80bf5e83d1 · inbound

Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling cites this paper.

Hive: A Multi-Agent Infrastructure for Algorithm- and Task-Level Scaling Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:36:36.679394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 34b2ff66-164d-42a4-b10c-836ec9b5cca5 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:26:25.720376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1e0a8e95-9b44-46b0-ba51-97c4f94be4b9 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T05:23:27.111986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 691f4b76-8c48-4a25-a80b-3fd7c811ac2a · inbound

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable cites this paper.

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:54.065259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 74c6b7b8-962e-44c4-adb6-0c703a9cd035 · inbound

Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification cites this paper.

Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:26:27.239258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cf632ae4-b2ce-4acc-94d3-e9ca3a990c66 · inbound

KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty cites this paper.

KCSAT-ML: Probing Reasoning Models with Nationwide-Cohort Human Difficulty Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-27T13:10:55.961429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation ef5e49f5-19db-459d-a60f-6508dae509be · inbound

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? cites this paper.

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:08:03.069720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 116acd43-21e2-4912-b415-f993d19b8c38 · inbound

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents cites this paper.

MetaPS: Adaptive Programmatic Strategy Selection for Market Agents Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 121

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:39:42.714748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 664bcbc4-8357-4e78-ba16-75556ad21786 · inbound

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy cites this paper.

Enhancing SLMs for Sustainable Code Optimization in Radio-Astronomy Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T08:18:31.256413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.