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Paper Citation Record · LEDGER

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.16312.

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

pith.paper-citation-record.v1
2505.16312 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:02.936523Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bac04f4-d9c1-4053-9793-980030cea6ba · outbound

This paper cites Longformer: The Long-Document Transformer.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Longformer: The Long-Document Transformer

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.169798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.169798Z digest=sha256:223e5bbae2d5e9991bd2cea7f4efec92cf9f29690c9a138f5539795fba1604fd

Observation 8b1ea5f5-931f-4c33-8e36-00020a2ef9fb · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.231000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.231000Z digest=sha256:b77d18ac4cebb1ae25baacfe9d4d0837ec676e3431d5b0646916f71223d7dc3f

Observation 03cdf8a6-895d-4289-9e3b-29b1c21bc425 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.344797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.344797Z digest=sha256:3e9e25fe54ce6d08094a2deb09e40fd134206ae6d6321884184e03fddf5036d3

Observation afd58930-0df5-4c69-a9df-a45b9e564ef3 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:04.382075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:00.432636Z digest=sha256:248abcb4ea989aeab22c8f6ee36265902c76f6aa2cfa0c1cea508af9c69a6317

Observation 333fd56c-bb05-4c28-993e-e84e8bef6717 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Training Verifiers to Solve Math Word Problems

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.494598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.494598Z digest=sha256:264647900712de215da336a92dca4ad45566d32462f084226e31b8c486d15a14

Observation 28d4f400-0542-45d9-87b6-76f53bd6d694 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:04.278292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:00.556853Z digest=sha256:2d5127924c5030215fff8be328c4b7703c72debb1bd084f83b05ff494da5eabe

Observation 15aea0aa-d327-40a5-b8ae-0cf900157896 · outbound

This paper cites Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.664496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.664496Z digest=sha256:e9867310a04fac4a0ba4be216c7251694efd4b5dbb632e29e36ca7b58e217e27

Observation f3b25275-f55d-4610-bd71-fc2f1a01acd3 · outbound

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

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.737147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.737147Z digest=sha256:474a6e78f05c01da3a7a8da55cc598c308af54013cc5a40d0db1a6a47c31d6f1

Observation 165693ec-2d06-46e1-bf07-24e2b7dc0b05 · outbound

This paper cites GPT-4o System Card.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning GPT-4o System Card

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.790593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.790593Z digest=sha256:62b33c1f9122e77abceb562da39b4f12d9376b0fcfc5eb84917fe8d2f189c9d0

Observation a80ca779-edbd-4c3a-80ff-78034a3c8734 · outbound

This paper cites Enhancing LLM Reasoning with Reward-guided Tree Search.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Enhancing LLM Reasoning with Reward-guided Tree Search

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.892822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.892822Z digest=sha256:381b6e5f278075ab50b54ba41ea8b3744e0f78a0e8696c3484504af1c60d6d4e

Observation fb87154d-ccb3-4aa8-8dda-36f691e3ac8e · outbound

This paper cites MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:00.966760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:00.966760Z digest=sha256:fdae2d0ecf88fceeb6e226119ab92faa79f8267128a1a35cb628aa0cd76e40e2

Observation 3fa21872-8e9b-4f01-9e01-259bb8e85781 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.046649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.046649Z digest=sha256:ce2c5bd64e35d3e8167d64df94dd621d9a2c4105523be208ba4e1ff97371a4d8

Observation e080776d-63db-4626-9ca2-d9ae7f50e2ac · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.098298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.098298Z digest=sha256:fb5964aba67bd19916b920fa7a9ce43a7348b17547998ec2ef90bb9cefc36e05

Observation 8e5022e6-83a3-4d63-be2b-680207c6a4d2 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Large Language Model Guided Tree-of-Thought

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.149295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.149295Z digest=sha256:a6182d464bf71116edf7d67e05da10719a52f8f31c90f77ffbe1946d9d9a1639

Observation 170e5667-1e97-4f83-ae01-9e166356dde0 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.199202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.199202Z digest=sha256:8a602bae61825bd0a2e1bfff9d252b8ccdca40df6e574dfce138a352a4f7da0c

Observation b976abed-df55-44ce-98a8-8e73efa259a1 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:04.097565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:01.246237Z digest=sha256:63e7054a4f23ea9bc0257fa7a6f725d6cb36610d6dfaea9e0dfc4e1c57f3c87a

Observation b149c76d-8f40-4a21-b935-a60d1a12a47d · outbound

This paper cites MathBERT: A Pre-Trained Model for Mathematical Formula Understanding.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning MathBERT: A Pre-Trained Model for Mathematical Formula Understanding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.290862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.290862Z digest=sha256:3dab0d829951c1f2eadcb58b5a03edaa49f1aeae9bd78a9525110ed56eb5126b

Observation 51ef124e-1669-4ed4-a6c5-6596c68b28b8 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.330051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.330051Z digest=sha256:c25cf7488ab8bd63b395feb098a0b066f9e2d4cfa32871d1f7d7cb03f6646340

Observation 1b4b7feb-7bd1-49ac-98af-c6652b3f5eae · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.395899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.395899Z digest=sha256:4035487add62ec8f00c2da20897a043877051f040c1c5af43c1c4810e28b11e6

Observation ec1658da-06df-4ea4-9cda-22c6194fe792 · outbound

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

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.506314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.506314Z digest=sha256:df2b3293986c4fa83aaaa4d5bb9f1fdd67362ca8f59830d2fb92494b2f632ed2

Observation fdf1c9a9-d35c-4ccf-94c9-46dd440cadb5 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:03.961909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:01.611699Z digest=sha256:6beb62ed7446f439e2e433f75d6ff78a6833d5563388ea9e6b08d036f953c721

Observation d4a1cbce-f089-480a-967e-0e9a36b4ea16 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.724372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.724372Z digest=sha256:dca72a40c07f11be1bb7271acb58e36106eb1c7249da1fbced1e8b74c3f12c59

Observation 3996829b-ccc4-498e-994f-8efd91710467 · outbound

This paper cites Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.832895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.832895Z digest=sha256:3629bfcda50947d82fe8623d81098b971cb097d232342c23677478e473d529ef

Observation 05a49a99-8b54-407f-94ce-a9c86e9a26d3 · outbound

This paper cites Qwen2.5 Technical Report.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Qwen2.5 Technical Report

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:01.922439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:01.922439Z digest=sha256:7f947deda12f31d10cfc9304c144e6c5bc30cacc8ed4257d99d3b354ca0b2670

Observation 55751ffd-c5cb-48a6-a87c-e63ba47c68b9 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:02.037227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:02.037227Z digest=sha256:591bf6f8984c69a914abb9725118d762336fea34651a8f43c8de29e32a5df8a9

Observation 52423769-dd6f-49b7-ab8d-a796611ab521 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:03.818010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:02.195248Z digest=sha256:d33a02e323e5ea94f2c22de2a5198b71afbde6f80ef9eb221852740b5635f401

Observation f0f688d7-5396-4423-a1cc-23aab8e7eb62 · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:03.683452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:02.372630Z digest=sha256:d096779ee62ee877271c5b1606babcebfafcb70c0204207914c585173b16bf8e

Observation 3dc80ecb-14b2-40a2-a3be-0fd6924aef7c · outbound

This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:02.552762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:02.552762Z digest=sha256:4b54b5c3903f5c1c47f3e8a02f6e5d9e13c0b3fea5bbadcbf087f02f2ac7dc77

Observation be3ee6e6-ff67-4855-8833-8eb528b9351b · outbound

This paper cites an unresolved cited work.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:06:03.532587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T15:06:02.694169Z digest=sha256:1d41db38bda1e8967bedb873e07b01987a6677326749599fd32ddb5defc0b5fd

Observation 48df969a-e970-42ac-ae90-0225b8bd5200 · outbound

This paper cites online" 'onlinestring :=.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning online" 'onlinestring :=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:02.824737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:02.824737Z digest=sha256:1491fc97c49a2c53f1fd96b65ea1d873c126b82c67173238f62375c99dac1311

Observation c8211d67-eb79-469b-a077-f15760781aa4 · outbound

This paper cites write newline.

EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning write newline

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T15:06:02.936523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:06:02.936523Z digest=sha256:35bfffd8bec12851f5311cb5b8faa4a7a0c6e24b1d03d1ece80f54c65387235c

Pith citing papers

No inbound Pith citation observations are available.