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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:2b6f537c5a424f2f9b1439aff24f40bb0fc872275de7ce2e6410ddaaefbf923e

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:d1c8d67f40cc26fee7b0d77402ce438de37e34a3be41b49ec69af31aa7211dbd

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=sha256:641a4f79f4a64d8ccfcb11deaaf560299dd1785f4014eb4ac630a5d68a34c6db

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:00.432636Z digest=sha256:e50b8305f0e43d2ba8bfb91560d6accd5b2c4caf364bea83875ef6a45f99d168

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:d9b52357fe5676315a72845a286304d3ea69894221a0180f7185d84d1429217c

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:00.556853Z digest=sha256:77f6c2b7a681555a5de2be8f075a09dd341f7b1f210fbc1f0f3313357ada1f8a

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=sha256:4fedcf7ed0da856e0355a6b5b3bbd4e4dc1e316df1b6a43a15ca954e002bd7f9

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:b895a6af9f7acd8cb71e89bd4610b0276e236611cbdb529501b3d3f0484e4f93

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:e60ac24392fca1ca8d386a8e168315cc13da071f76fc0f0d5b0ca02edcca180c

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=sha256:5728db112ea0e7d7cc899083840bb29ec7bc94197f7c77e8f98571c393268f7f

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=sha256:14c021a6e9d064d821b980e63987f97711d18b3e6ed5e75508aa8dc73794cd63

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:f3700371178eeac4b133dec63336ac848221bc0cfc7aa1cbde95abb6079be9d4

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=sha256:5c93c9490ab8e602de8147fad3cf2a3d74c12138f522a157e4e8864bcd9a4e04

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=sha256:97f0271dd3d4631cb0d8a1c42f596209071c21168524974b259f6668ae37663d

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=sha256:7cc78a438d9744127b80699e963316a2f5a42714296ed31c8e8083f34186ff63

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:01.246237Z digest=sha256:263c7149078556721dcea86b0a470a2e6784cf5c28379133b81fce47809316d5

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:e38cc73e5090b139edce1f083e1eb07f180ba2d0b6d653f041b04bb550e18ca1

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=sha256:91ecca11c64be14d3514fd993fae426df709bdf09aab3f226425e8d4efa7d6d2

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=sha256:0a4dc1e6fdf21ccbed374207dc17b74be5d0ec09ed27fe6b7e209003a787a632

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=sha256:9f427588e353fda2b3359a2d3093c03a5e4c159580f195ff882ba1db9f751e1f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:01.611699Z digest=sha256:47a5ae74ec6cade3f972f385a793f066014921f7804632e0dc2145ca857011c1

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=sha256:7b1e0394dc51df66cba5f4b92c3d157370a16cbe6c9f052d87c4487a363d608e

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=sha256:772d2f91d1b99cb7ccc110d84d6aa3f3af0ca48f49ae6a8550b9c846a1205d28

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=sha256:6381386bc27c3810589fd4f7411dfb1cd9327bb024830e4af96b78571af06ada

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=sha256:9aeec2ce650aae03695da9db044c6348f2f926cee10fa36faf77a58255181ea4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:02.195248Z digest=sha256:2aed047f54d3be04378e23d7ae090d0d825c445d7f1bb9136d45854d1f85b824

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:02.372630Z digest=sha256:6c5e629279b87d9dc4b10235f6619d3445f3ac49ee8cf12493c5013f5c49f715

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:a7607c77efc6a8b13ea2db0c628a53cad5c27c0417f44a9480108af2f7d12fe7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T15:06:02.694169Z digest=sha256:30ad32298fd73b8517eb3e17416e3d387842b9cee6bd6ee086924b4803edb6c5

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=sha256:4497270bf9b3b45b83d825e6e4bbf71b95961d441680e6d5127c8cd0070b9591

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=sha256:915ea4450c64b50427fe6a10b2ed29abdd9c012c60726fc2eec8303d5f4eaf23

Pith citing papers

No inbound Pith citation observations are available.