Paper Citation Record · LEDGER

No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.03224.

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

pith.paper-citation-record.v1
2309.03224 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:08:35.667710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:36:24.159529Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 1e973ba5-bd1c-42fa-9ee4-391973a5be2b · inbound

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree cites this paper.

MC-NEST: Enhancing Mathematical Reasoning in Large Language Models leveraging a Monte Carlo Self-Refine Tree No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T14:08:35.667710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df9c75d-8f6b-4fc1-9e5a-0f75dbf2006f · inbound

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization cites this paper.

Evolution of Thought: Diverse and High-Quality Reasoning via Multi-Objective Optimization No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T13:52:26.449167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8544f6b9-a7e9-4034-93a6-75006efcc57c · inbound

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? cites this paper.

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T18:30:56.628448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e7c592b-9b64-4eb0-b9a2-a345c95d5b68 · 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 No Train Still Gain. Unleash Mathematical Reasoning of Large Language Models with Monte Carlo Tree Search Guided by Energy Function

Reference 156

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:36:24.162919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.