Paper Citation Record · LEDGER

Iterative Deepening Sampling as Efficient Test-Time Scaling

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2502.05449.

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

pith.paper-citation-record.v1
2502.05449 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:23:26.679768Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:05:45.782782Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:40:41.888381Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy1
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2f306317-31aa-4e63-a0e1-c14f30a893f2 · outbound

This paper cites Phi-4 Technical Report.

Iterative Deepening Sampling as Efficient Test-Time Scaling Phi-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.225408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8534e3c7-27d6-40f0-9adc-d2a2bc851856 · outbound

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

Iterative Deepening Sampling as Efficient Test-Time Scaling CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.300496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9fb27c5-3ba9-4b3c-a5b9-5fc998f8172d · outbound

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

Iterative Deepening Sampling as Efficient Test-Time Scaling rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.305225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9bbac5-c843-4e4d-8581-e45a4babaf23 · outbound

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

Iterative Deepening Sampling as Efficient Test-Time Scaling Reasoning with Language Model is Planning with World Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.407410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7e76ae-d76d-4b6d-b37f-56a87001c344 · outbound

This paper cites Large Language Models Cannot Self-Correct Reasoning Yet.

Iterative Deepening Sampling as Efficient Test-Time Scaling Large Language Models Cannot Self-Correct Reasoning Yet

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.459491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061c1b28-cf6b-4c55-893e-19b4692aa84a · outbound

This paper cites O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?.

Iterative Deepening Sampling as Efficient Test-Time Scaling O1 Replication Journey -- Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter Lesson?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.463205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8353a63-32f0-4b53-937c-b80b9281e030 · outbound

This paper cites OpenAI o1 System Card.

Iterative Deepening Sampling as Efficient Test-Time Scaling OpenAI o1 System Card

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.467995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20fb32f0-d7df-4e6e-bba7-eebf365e0b47 · outbound

This paper cites Let's Verify Step by Step.

Iterative Deepening Sampling as Efficient Test-Time Scaling Let's Verify Step by Step

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.472548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 694b5fa9-d7b8-4431-8935-9c5c175328de · outbound

This paper cites Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding.

Iterative Deepening Sampling as Efficient Test-Time Scaling Don't throw away your value model! Generating more preferable text with Value-Guided Monte-Carlo Tree Search decoding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.477154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2812767a-59a3-40a0-bdd3-4cb9571ef80f · outbound

This paper cites V ., Patel, A., Adlakha, V ., Aghajohari, M., BehnamGhader, P., Bhatia, M., Khandelwal, A., Kraft, A., Krojer, B., L`u, X.

Iterative Deepening Sampling as Efficient Test-Time Scaling V ., Patel, A., Adlakha, V ., Aghajohari, M., BehnamGhader, P., Bhatia, M., Khandelwal, A., Kraft, A., Krojer, B., L`u, X

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.481446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e2d68f-2521-42a6-8b6e-fdf272c43642 · outbound

This paper cites s1: Simple test-time scaling.

Iterative Deepening Sampling as Efficient Test-Time Scaling s1: Simple test-time scaling

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.486210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f15e729-070c-482a-a992-d11b32dffbf2 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Iterative Deepening Sampling as Efficient Test-Time Scaling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.490001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6ad192f-0599-483d-999e-8250c61e21f5 · outbound

This paper cites Fast Best-of-N Decoding via Speculative Rejection.

Iterative Deepening Sampling as Efficient Test-Time Scaling Fast Best-of-N Decoding via Speculative Rejection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.494254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5d2c2d7-13e9-4188-b4e8-92ef5ead0439 · outbound

This paper cites On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models.

Iterative Deepening Sampling as Efficient Test-Time Scaling On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.537298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15c831c6-742f-4d5a-b80f-194e6211e26c · outbound

This paper cites Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals.

Iterative Deepening Sampling as Efficient Test-Time Scaling Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.596654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8340434e-fe6f-4a0a-b3ed-f2631ad74a61 · outbound

This paper cites Chain-of-Thought Reasoning Without Prompting.

Iterative Deepening Sampling as Efficient Test-Time Scaling Chain-of-Thought Reasoning Without Prompting

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.649729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f301cddc-bc5a-4ddb-b0f9-5aacbd8f5363 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Iterative Deepening Sampling as Efficient Test-Time Scaling Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.654411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b05b5d7-10b5-4be4-b02b-bf5b52ae3a55 · outbound

This paper cites Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective.

Iterative Deepening Sampling as Efficient Test-Time Scaling Scaling of Search and Learning: A Roadmap to Reproduce o1 from Reinforcement Learning Perspective

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.662779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59fb88ec-0b79-46a6-bdbf-8e746a0419f3 · outbound

This paper cites Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B.

Iterative Deepening Sampling as Efficient Test-Time Scaling Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.666844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ed22220-ff2d-49c2-936c-5b22c09d76bb · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

Iterative Deepening Sampling as Efficient Test-Time Scaling The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.670683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df0aedc1-2d1d-49f2-b7b6-eea041a7b389 · outbound

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

Iterative Deepening Sampling as Efficient Test-Time Scaling Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.675851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb835118-62d6-47e1-9634-e318baa76cb0 · outbound

This paper cites As a re- sult, most standard non-mathematical datasets are not well aligned with the objectives of this study.

Iterative Deepening Sampling as Efficient Test-Time Scaling As a re- sult, most standard non-mathematical datasets are not well aligned with the objectives of this study

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:23:27.248904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cea037dc-7b08-46f4-8717-cedc7b7d32eb · outbound

This paper cites AlphaMath Almost Zero: Process Supervision without Process.

Iterative Deepening Sampling as Efficient Test-Time Scaling AlphaMath Almost Zero: Process Supervision without Process

Reference 463

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.279454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd05ab1f-b1c7-452e-a023-64c57dacae3b · outbound

This paper cites RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents.

Iterative Deepening Sampling as Efficient Test-Time Scaling RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.286580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7172746-87d7-40c3-b7fd-2a5d87048863 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Iterative Deepening Sampling as Efficient Test-Time Scaling MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.658678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fdb688-d4b2-4cbf-8f2c-63fa32f4f3dd · outbound

This paper cites When is Tree Search Useful for LLM Planning? It Depends on the Discriminator.

Iterative Deepening Sampling as Efficient Test-Time Scaling When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.291156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbdb90fd-1f53-45b1-be04-5b62826ea277 · outbound

This paper cites Step-level value preference optimization for mathematical reasoning.

Iterative Deepening Sampling as Efficient Test-Time Scaling Step-level value preference optimization for mathematical reasoning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.273352Z

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Unavailable: canonical work link unavailable.

Observation 910d3997-4738-4fba-b24b-34351b4fddb5 · outbound

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

Iterative Deepening Sampling as Efficient Test-Time Scaling DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.295697Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 835ce9f5-f6ff-4bba-8d26-548b1f1557a5 · 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 Iterative Deepening Sampling as Efficient Test-Time Scaling

Reference 102

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.891609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b8ece92b-c42e-482c-b094-1ba049dab7c5 · inbound

Corrector Sampling in Language Models cites this paper.

Corrector Sampling in Language Models Iterative Deepening Sampling as Efficient Test-Time Scaling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T06:05:45.782782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f3e798-c635-4d6e-b844-b006fe003d35 · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Iterative Deepening Sampling as Efficient Test-Time Scaling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T20:43:11.199591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.