Paper Citation Record · LEDGER

Bag of Tricks for Inference-time Computation of LLM Reasoning

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 7 inbound Pith citation observations for arXiv:2502.07191.

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

pith.paper-citation-record.v1
2502.07191 v4

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:24.602784Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:48.356267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:51:37.638767Z

Reference resolution

24 of 24 outbound references displayed

verified exact0
verified fuzzy1
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e92021b1-0c6e-4369-8774-ec43f7b0ccf9 · outbound

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

Bag of Tricks for Inference-time Computation of LLM Reasoning Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.496163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a0bb73-97e3-4d22-8083-82e790f1986d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Bag of Tricks for Inference-time Computation of LLM Reasoning Distilling the Knowledge in a Neural Network

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.506958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee1a889-b74a-42fe-bec0-1dc94751e5a9 · outbound

This paper cites Crafting papers on machine learning.

Bag of Tricks for Inference-time Computation of LLM Reasoning Crafting papers on machine learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.527343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99c6c1d3-98f2-44ab-aeff-8bfbc7d737c0 · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

Bag of Tricks for Inference-time Computation of LLM Reasoning RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.536704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef1b2113-6115-4230-9403-cf188911653c · outbound

This paper cites R., Smith, C., Das, R.

Bag of Tricks for Inference-time Computation of LLM Reasoning R., Smith, C., Das, R

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.541930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c0c8652-dd1f-4eaa-bec0-0b42a7717613 · outbound

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

Bag of Tricks for Inference-time Computation of LLM Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.551894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e2757f4-1766-416d-8c6f-3bf8f7f6bdfc · outbound

This paper cites Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing.

Bag of Tricks for Inference-time Computation of LLM Reasoning Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.557180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4d89ca-474f-448c-b6c4-f9fc2a16800b · outbound

This paper cites Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning.

Bag of Tricks for Inference-time Computation of LLM Reasoning Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.562156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d773cd15-ee19-4623-b036-d85c4df23f7b · outbound

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

Bag of Tricks for Inference-time Computation of LLM Reasoning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.567419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd15d04d-b6c1-475f-b6ea-de8791566fb2 · outbound

This paper cites Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS.

Bag of Tricks for Inference-time Computation of LLM Reasoning Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.572530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0894cf0f-cfe4-410f-ae57-b87498700303 · outbound

This paper cites Qwen2.5 Technical Report.

Bag of Tricks for Inference-time Computation of LLM Reasoning Qwen2.5 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.577566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23e91757-6591-443e-858b-3273ae3a8daf · outbound

This paper cites Generative Verifiers: Reward Modeling as Next-Token Prediction.

Bag of Tricks for Inference-time Computation of LLM Reasoning Generative Verifiers: Reward Modeling as Next-Token Prediction

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.582690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94c97b9b-3d97-43ea-8941-dd95da637590 · outbound

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

Bag of Tricks for Inference-time Computation of LLM Reasoning Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.592761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ca2937-3e8a-460f-8ea5-17c85402e0ed · outbound

This paper cites an unresolved cited work.

Bag of Tricks for Inference-time Computation of LLM Reasoning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-08T13:35:25.188473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 30dcbeaa-34e2-444b-b769-942726510373 · outbound

This paper cites The nucleus sampling parameter, top-p, is configured at 0.9, ensuring diversity by sampling from the top 90% cumulative probability distribution of the predicted tokens.

Bag of Tricks for Inference-time Computation of LLM Reasoning The nucleus sampling parameter, top-p, is configured at 0.9, ensuring diversity by sampling from the top 90% cumulative probability distribution of the predicted tokens

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T13:35:25.208090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 565eb3a4-3dfe-4625-8f9c-22a310fb75a3 · outbound

This paper cites JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework.

Bag of Tricks for Inference-time Computation of LLM Reasoning JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.532055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a653b208-4f72-422d-bd22-6db94307fa64 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Bag of Tricks for Inference-time Computation of LLM Reasoning The Curious Case of Neural Text Degeneration

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.511954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69c79b46-a522-4db9-9ae0-550626519b65 · outbound

This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

Bag of Tricks for Inference-time Computation of LLM Reasoning Measuring and Narrowing the Compositionality Gap in Language Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.546662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4560d6ca-94fd-4148-953d-33d0981a0c71 · outbound

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

Bag of Tricks for Inference-time Computation of LLM Reasoning Large Language Models Cannot Self-Correct Reasoning Yet

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.517119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c0b7ab8-5d88-4681-b080-3560da303199 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Bag of Tricks for Inference-time Computation of LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.490797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb5feb2-c728-4a78-bfe8-5356ca268bdb · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Bag of Tricks for Inference-time Computation of LLM Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.501724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e2924b7-2b03-4fd0-8971-92b046ed4f4d · outbound

This paper cites Mistral 7B.

Bag of Tricks for Inference-time Computation of LLM Reasoning Mistral 7B

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.522438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39528a95-91ea-43c2-9c92-7c574016c962 · outbound

This paper cites Bootstrapping Language Models with DPO Implicit Rewards.

Bag of Tricks for Inference-time Computation of LLM Reasoning Bootstrapping Language Models with DPO Implicit Rewards

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.484692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19e090aa-f719-42dd-b06d-e90cac7ae0d3 · outbound

This paper cites ProcessBench: Identifying Process Errors in Mathematical Reasoning.

Bag of Tricks for Inference-time Computation of LLM Reasoning ProcessBench: Identifying Process Errors in Mathematical Reasoning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:24.587877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8ed9c7f9-82cf-45bd-b6f3-3fa3c430ab3a · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:57.353886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1b1cf5e4-e5a4-4d35-a9d9-c41b52ebb3d2 · inbound

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models cites this paper.

LENS: Multi-level Evaluation of Multimodal Reasoning with Large Language Models Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:51:37.641806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e893122c-ad37-4a27-a137-ea9315d31a5f · inbound

Scaling Test-time Compute for LLM Agents cites this paper.

Scaling Test-time Compute for LLM Agents Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:48.356267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74ec772a-2bb1-4b6f-a274-0bc206788545 · inbound

Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models cites this paper.

Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:32:08.697743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 47e98b99-51a3-44e3-ab3e-df60221fae85 · 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 Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-18T17:31:41.589235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29b3a139-f2d7-423b-b09e-88be80449586 · inbound

Empirical Modeling of Therapist-Client Dynamics in Psychotherapy Using LLM-Based Assessments cites this paper.

Empirical Modeling of Therapist-Client Dynamics in Psychotherapy Using LLM-Based Assessments Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T23:52:47.066976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19f72b48-05a2-4e67-bcd0-e4cf3023e31c · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Bag of Tricks for Inference-time Computation of LLM Reasoning

Reference 173

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.943825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.