Paper Citation Record · LEDGER

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS

As of 19 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 2 inbound Pith citation observations for arXiv:2507.05557.

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

pith.paper-citation-record.v1
2507.05557 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:28:12.738961Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T00:45:00.847714Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T00:45:49.112586Z

Reference resolution

10 of 10 outbound references displayed

verified exact0
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5211907d-06e4-426e-8935-9284acb209e6 · outbound

This paper cites CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.230373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268a011c-3fc7-4cde-9361-b86dd0bb066e · outbound

This paper cites Let's Verify Step by Step.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS Let's Verify Step by Step

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.405488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc52470-24ca-4de1-b926-102f689a3f5a · outbound

This paper cites PhyX: Does Your Model Have the "Wits" for Physical Reasoning?.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS PhyX: Does Your Model Have the "Wits" for Physical Reasoning?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.530736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728d02f4-1b28-4828-9f8e-82aee73fa4b0 · outbound

This paper cites ParallelComp: Parallel Long-Context Compressor for Length Extrapolation.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS ParallelComp: Parallel Long-Context Compressor for Length Extrapolation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.592615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ab9e98-8f2c-4a06-a64b-953bfd1078f7 · outbound

This paper cites Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E Gonzalez, and Bin Cui.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E Gonzalez, and Bin Cui

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.674907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a66aae-31d1-48b2-8258-6f5906fe83b4 · outbound

This paper cites Advances in neural information processing systems, 36:11809–11822.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS Advances in neural information processing systems, 36:11809–11822

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.738961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380ebdd7-ddef-48ae-b218-d146456d33c1 · outbound

This paper cites MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS MathQA: Towards Interpretable Math Word Problem Solving with Operation-Based Formalisms

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.063407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d90dd1-c705-42d0-baef-f00aca515744 · outbound

This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.161024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 319fb461-4b2f-4902-9b73-c49380a7754e · outbound

This paper cites Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.438888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c2624e4-c766-48db-adb9-7fdc2332769a · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T19:28:12.313777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2408d9a4-ecd8-4a7e-9c7c-ff94672e3e9e · inbound

Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators cites this paper.

Mathematical Reasoning via Intervention-Based Time-Series Causal Discovery Using LLMs as Concept Mastery Simulators Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:57.641565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b2e40311-3359-473b-91cc-597d7112a023 · inbound

MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning cites this paper.

MILES: Modular Instruction Memory with Learnable Selection for Self-Improving LLM Reasoning Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-09T00:45:49.113840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.