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Paper Citation Record · LEDGER

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

As of 20 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 5 inbound Pith citation observations for arXiv:2501.10069.

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

pith.paper-citation-record.v1
2501.10069 v4

Coverage vector

measured 95 of 95 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:27:23.569311Z

measured 100 of 100 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:16.937355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:09:40.660151Z

Reference resolution

95 of 95 outbound references displayed

  • verified exact2
  • verified fuzzy33
  • unresolved59
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a9b394b-49a6-47d1-828a-48d8980272ff · outbound

This paper cites GPT-4 Technical Report.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.237635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.237635Z digest=sha256:6e4df80f5355974f7145473e9e6be03ea3932a928d2e8970e39339eadfecd796

Observation f3703b83-bdd5-42bd-affb-6edec0889a10 · outbound

This paper cites Program Synthesis with Large Language Models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Program Synthesis with Large Language Models

Reference 2

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unresolved
no resolver link, observed 2026-08-10T19:27:23.242706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.242706Z digest=sha256:f2fe49f0b1831be649d628a0cec6eca87fa5cafe57cb9bee2600f893c8cc6f36

Observation 84a8036c-d776-49c6-b07e-15860daf78bb · outbound

This paper cites Dynamic programming.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Dynamic programming

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.247120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.247120Z digest=sha256:ca7d2af59de99c06f05a48b3cba121af15ea05a2bbe8c70f76070b3f94ac719f

Observation de9c7c5a-e8a1-4a6a-8067-f318a44238c7 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Graph of thoughts: Solving elaborate problems with large language models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.250993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.250993Z digest=sha256:08e208f65440ab1c7ce41a99fb95a85f03107efa04aa97c7b86c7fd12c047786

Observation c7283b02-0152-4810-87f8-3675ca982b1e · outbound

This paper cites Navigating the labyrinth: Evaluating and enhancing LLM s ability to reason about search problems, 2024.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Navigating the labyrinth: Evaluating and enhancing LLM s ability to reason about search problems, 2024

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.254855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.254855Z digest=sha256:95a3ab98ca06747821fb89d55f4dc843463ceff0de42684ede8d3a5c4356360d

Observation 703ab644-0e19-4c31-aaa1-3393c278679b · outbound

This paper cites Language models are few-shot learners.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Language models are few-shot learners

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.258541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.258541Z digest=sha256:fb388ed4b2a53db36bebb295f2878b05b1ac351baff1ca899ad76a88c25a6742

Observation 4c28d59d-2473-4dd9-b7b5-14d098f47bb5 · outbound

This paper cites Evoprompting: Language models for code-level neural architecture search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Evoprompting: Language models for code-level neural architecture search

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.262489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.262489Z digest=sha256:42e0052f7d3c7fe3aec34b12d54e3332363b6f421d7a98fcd8f1d9e5be2d7245

Observation c8e8702e-c973-4773-9c5a-e88d080d5bb2 · outbound

This paper cites Boosting of thoughts: Trial-and-error problem solving with large language models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Boosting of thoughts: Trial-and-error problem solving with large language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.265767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.265767Z digest=sha256:22072222108f442397afcb3be6ddcbda7e8eef1043ed049e41a15ce6f75da7be

Observation a81ac4af-20e0-419a-9ab4-5c286fffdfd7 · outbound

This paper cites When is tree search useful for LLM planning? it depends on the discriminator.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks When is tree search useful for LLM planning? it depends on the discriminator

Reference 9

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unresolved
no resolver link, observed 2026-08-10T19:27:23.269107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.269107Z digest=sha256:2872d110d30f14fc345865a65bccd0b6e603a7e1e3e688781092dd2deb39adcd

Observation 26ce8d78-31de-43f7-a26e-aeb2a8f44417 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Training Verifiers to Solve Math Word Problems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.272609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.272609Z digest=sha256:86a64167e977e56cf84387bc996954b0bd4e04e811127f1218b3672cb78ad046

Observation 9f58ae40-ccf0-4256-9a5c-ceeb42e48724 · outbound

This paper cites Generating code world models with large language models guided by monte carlo tree search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Generating code world models with large language models guided by monte carlo tree search

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.276505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.276505Z digest=sha256:4fca3fc240e6fee224533f6af7400389a8a1225e55ab210bef8d6d401452d3a0

Observation 7ed9e188-510d-4ef6-8915-4a24e18c2c51 · outbound

This paper cites Minedojo: Building open-ended embodied agents with internet-scale knowledge.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Minedojo: Building open-ended embodied agents with internet-scale knowledge

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.280079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.280079Z digest=sha256:65aeca7625abbd2f07c5684b4d0445191252a1c57a5c11749b4ba7e301122ac4

Observation 4a8ea224-44d9-4c42-bbe4-61d127990c06 · outbound

This paper cites Natural Language Reinforcement Learning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Natural Language Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.283216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.283216Z digest=sha256:aa490da710af3bf11e889438dbf6458730abc952d7358c049dd1c98bfde615d5

Observation cfab924b-a814-480e-ba2e-9038f5fc3abf · outbound

This paper cites PATHFINDER : Guided search over multi-step reasoning paths.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks PATHFINDER : Guided search over multi-step reasoning paths

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.287013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.287013Z digest=sha256:e14356b91650eff17e91124db31eb4a14def90f9407e7967b83453292654f271

Observation 3e8ad0c8-8da5-4a21-8d35-f006c1c86ff8 · outbound

This paper cites Leveraging pre-trained large language models to construct and utilize world models for model-based task planning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Leveraging pre-trained large language models to construct and utilize world models for model-based task planning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.290452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.290452Z digest=sha256:646b62bf56b1b958442b50ef86b8b6f1f34c60102b5d3d49f3c88b2596ddbb03

Observation d766ec42-3441-4df6-80f0-71f3531b0ced · outbound

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

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.294040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.294040Z digest=sha256:051c11eed5f42a3689a4fe0b771b76615b6b078421a2f28ce2b33dfd773be270

Observation 756355b2-484a-4751-85c7-2e15f652fa1c · outbound

This paper cites Reasoning with language model is planning with world model.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Reasoning with language model is planning with world model

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.297853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.297853Z digest=sha256:4a20a90a45adee3a7a709907b0b6de96e0d28204b79b9019efdf274534f7e54b

Observation a1647f62-e47d-498a-85fb-5f39dd81f0c3 · outbound

This paper cites Interactive fiction games: A colossal adventure.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Interactive fiction games: A colossal adventure

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.301415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.301415Z digest=sha256:0ae80026ce76f14e99d534678645c601f33881d7db27afefedeb9bb09eafd50c

Observation 1f41b699-62be-4b38-8a54-7c1d404fa3f8 · outbound

This paper cites Measuring coding challenge competence with APPS.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Measuring coding challenge competence with APPS

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.305204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.305204Z digest=sha256:988acc0d7b34fedfc7fe2e4660b4d8ebfc2fc56de0077dde24725621c7299569

Observation d0530951-ba51-49bc-97c0-bfe83701629b · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Measuring mathematical problem solving with the MATH dataset

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.308662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.308662Z digest=sha256:4edfb7946e30aa7a5dfaaa1a454f1660a14073198c22f66bbfa249911ecb320d

Observation 499e9b2f-94fa-45fb-a609-2ea32b1ab317 · outbound

This paper cites Tree-planner: Efficient close-loop task planning with large language models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Tree-planner: Efficient close-loop task planning with large language models

Reference 21

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unresolved
no resolver link, observed 2026-08-10T19:27:23.312319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.312319Z digest=sha256:e3727110c4b03ead32d65bbb8341d73431b00024b84dc59e237e63342cadc024

Observation ba88d269-8859-4bf3-8e6e-fc05558ceb82 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Understanding the planning of LLM agents: A survey

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.315734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.315734Z digest=sha256:07de1f8ea6a6c322178d8743be19d423ece52d53c7a66cec4767e5a6456e80eb

Observation 07c5c6b0-e1de-4181-9cd0-a9d98bfda6fd · outbound

This paper cites The consensus game: Language model generation via equilibrium search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks The consensus game: Language model generation via equilibrium search

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.319703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.319703Z digest=sha256:4457fbdb8fd27aa1aa75f58b06b9691b8a8a22358aefa0afc2d40358a858d6a5

Observation ecd1df68-deda-4207-9301-47f17f77ae1d · outbound

This paper cites Language Models (Mostly) Know What They Know.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Language Models (Mostly) Know What They Know

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.323007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.323007Z digest=sha256:5b50e2d594925722698e8ea6606ffb5968970ae723b945ee01b03dda3e0959ba

Observation 02d454a7-b804-45e1-8310-63d8e486d1d2 · outbound

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

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.326793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.326793Z digest=sha256:b6d74798810b04429216511f722fd746d1250224b407c90403b5661d19121e34

Observation 6264904f-635a-4252-b168-470d2b1b9223 · outbound

This paper cites Tree search for language model agents.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Tree search for language model agents

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.330422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.330422Z digest=sha256:7808be09ca35e673f04391a977bf01674513d651f38ae5054a735314065b2552

Observation e1813333-5726-40ff-8e7b-d44f434c67f9 · outbound

This paper cites Large language models are zero-shot reasoners.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Large language models are zero-shot reasoners

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.334165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.334165Z digest=sha256:0d1f75058d68c937c825a8cde1dd95e4ea886fd8adb25ee8f0e631feac5063c9

Observation 689d6942-5653-41e2-9fa4-5ad762a734fa · outbound

This paper cites Pre-trained language models for interactive decision-making.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Pre-trained language models for interactive decision-making

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.743663Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.337758Z digest=sha256:760c4198a164a9d81f3fa0014eca99074b11302f8e5ff9ae165ee93e986c5f70

Observation f7a0315a-f39e-436c-959d-fc1077b9f675 · outbound

This paper cites A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks A Review of Prominent Paradigms for LLM-Based Agents: Tool Use (Including RAG), Planning, and Feedback Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.341055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.341055Z digest=sha256:4722cf9248abbb6e6a25fd3783d50eefc001d6e91ded65c8bfc0a206ed8935a9

Observation cf9b1660-fec3-44c2-a304-e1594423cb85 · outbound

This paper cites Making language models better reasoners with step-aware verifier.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Making language models better reasoners with step-aware verifier

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.344743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.344743Z digest=sha256:dc09970ac9ec01714059ae6ac643300396e4003117ee5565c08e3350c601cbbf

Observation 6092914d-e1d6-46b5-89f7-3b4691c06bbe · outbound

This paper cites Strategist: Self-improvement of LLM decision making via bi-level tree search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Strategist: Self-improvement of LLM decision making via bi-level tree search

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.733643Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.348277Z digest=sha256:eaf4bc878a6612c32ed30a4b801bc837b2ec74f13f062fe019adb8b0694c6b23

Observation b9b20a57-89ae-4ddb-89b4-91a1ac114afe · outbound

This paper cites Let's verify step by step.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Let's verify step by step

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.351629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.351629Z digest=sha256:7e3dd7528e4c5466de420a739401aead9bed5f88ce21a29876a569d79c4ffc2e

Observation b1879472-a753-4765-b693-46e389132462 · outbound

This paper cites Teaching models to express their uncertainty in words.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Teaching models to express their uncertainty in words

Reference 33

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unresolved
no resolver link, observed 2026-08-10T19:27:23.354665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.354665Z digest=sha256:d9bead3873f443cd63f1e33ed5b285bec52d476c33d36cd69cc39148d921bfcd

Observation d3ae6526-b3bc-4272-acc6-47f13aa65ba9 · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.357880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.357880Z digest=sha256:151a95be5e01d486c71ebfae55e5ae77d27a27e91b9515e940cdb811d3eaed71

Observation 97ee6117-8d60-41f8-bc18-51449382bf88 · outbound

This paper cites Think-on-graph 2.0: Deep and faithful large language model reasoning with knowledge-guided retrieval augmented generation.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Think-on-graph 2.0: Deep and faithful large language model reasoning with knowledge-guided retrieval augmented generation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.711820Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.362414Z digest=sha256:af1a6644c67cc5be1b90eca0943bc0b13daf1eee14582557fd595b19d49726d9

Observation 96a0dd24-007c-492d-a80a-26e62b173d08 · outbound

This paper cites Self-refine: Iterative refinement with self-feedback.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Self-refine: Iterative refinement with self-feedback

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.700975Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.365496Z digest=sha256:90ebef1e46c29af2f8df0ca6d9e280e775d4c7aee7c793b24512152712cb2c22

Observation 2f89dd90-eae4-48e8-a4b0-af58b05cbeb1 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Self-Refine: Iterative Refinement with Self-Feedback

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.368745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.368745Z digest=sha256:b6c5bf998fb7cc737cffb509351a67a2dc59c26759154161e18464ffcc788f29

Observation 1841f482-5739-460d-a221-032ea43d6e39 · outbound

This paper cites The 1998 ai planning systems competition.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks The 1998 ai planning systems competition

Reference 38

Resolution
verified exact
doi, observed 2026-08-10T19:27:23.650579Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.372200Z digest=sha256:acf550d1d270f58aae02add54910b4ff1487e3f2eea7e0bd9323027448fb2855

Observation e6127706-98c4-415a-a0f1-ae039598b242 · outbound

This paper cites Llm-a*: Large language model enhanced incremental heuristic search on path planning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Llm-a*: Large language model enhanced incremental heuristic search on path planning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.690308Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.375804Z digest=sha256:ad0babf160e997755e505d0b43614346acbe76168c3a905e3aff24f00b0eb847

Observation e636ad46-0e69-47d6-9841-9354c02f6ee3 · outbound

This paper cites Wang, and Xi Victoria Lin.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Wang, and Xi Victoria Lin

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.678714Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.379319Z digest=sha256:209baf90368c471c0746d01cdcbf9f75cdd0ea2e23fdb949a3e3764056d223db

Observation dc0e7cc2-c3b2-423b-a9de-f6fb207ba462 · outbound

This paper cites Training language models to follow instructions with human feedback.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Training language models to follow instructions with human feedback

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.382670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.382670Z digest=sha256:43348befce0ccf637d2a7430b4d8d43c5d952c9b4215ab35440d6b8f3514e10d

Observation e273d0c2-f7b6-4178-bbcd-dd407fb09138 · outbound

This paper cites Feedback loops with language models drive in-context reward hacking.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Feedback loops with language models drive in-context reward hacking

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.661551Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.385870Z digest=sha256:c412288249736f0b04a2b4d42d989e4418b9d2d83ad6fc48d53585a49768a071

Observation e99a29e7-28af-437e-9e8e-9f8b0ed00996 · outbound

This paper cites Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.389453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.389453Z digest=sha256:6818716452b5ead8eeeac263f46c1a10d18cd9e086bd0bacff6bb825105233a6

Observation f8f2032e-0fbc-479b-9f61-49bb685aca02 · outbound

This paper cites Virtualhome: Simulating household activities via programs.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Virtualhome: Simulating household activities via programs

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.651036Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.393213Z digest=sha256:a89f80e22a528bc5bd296311f28494749f21ca81dca8fc6db989fa22e2043dc7

Observation 7cdbaa25-2534-423d-84db-6be5e8c79451 · outbound

This paper cites Agent q: Advanced reasoning and learning for autonomous ai agents.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Agent q: Advanced reasoning and learning for autonomous ai agents

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.639245Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.398304Z digest=sha256:5746905e1b3ccbb97ae91ce87113b7f0103e7f2398d457e36b7dc07d9c3defbe

Observation b14fb7fc-6761-4b19-9300-58e94a5d3ee7 · outbound

This paper cites Mutual reasoning makes smaller LLM s stronger problem-solver.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Mutual reasoning makes smaller LLM s stronger problem-solver

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.404581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.404581Z digest=sha256:275d6bc885d93f649df764c8a38a8fa38c335b7b92215937a57f10dfabdd9536

Observation ed3bd655-7a9f-40b6-9a8c-97f56e450b90 · outbound

This paper cites Recursive introspection: Teaching language model agents how to self-improve.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Recursive introspection: Teaching language model agents how to self-improve

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.615783Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.408263Z digest=sha256:312689102a16c5ab3a2de3d54f88595c1a2613b27cf2cc5fae851ef9c9dd7b7a

Observation fd364eea-7f23-40a8-b630-dcae4004c782 · outbound

This paper cites Language models are unsupervised multitask learners.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Language models are unsupervised multitask learners

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.412088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.412088Z digest=sha256:33ddcace1342bdc386e3e80e86041433835a21fe92c67e65bef227fd15c7d3f1

Observation 8989981d-6b55-42d3-81fe-b9406b34cedd · outbound

This paper cites Artificial intelligence a modern approach.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Artificial intelligence a modern approach

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.600251Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.415810Z digest=sha256:647748fe658de79e8379139a293cfc9a4ca371abc2a22ac5214fbf155d23f896

Observation f820088f-a964-4ad8-bb8c-52d01e5285d7 · outbound

This paper cites Whose Opinions Do Language Models Reflect?.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Whose Opinions Do Language Models Reflect?

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.419341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.419341Z digest=sha256:9cda55eb58e80261b5f702386df98f814dec3cb56728811c25127a66fa582a09

Observation 8840e2d8-d2f0-4ca8-addc-f8f65c5ea3ac · outbound

This paper cites Monte carlo planning with large language model for text-based games.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Monte carlo planning with large language model for text-based games

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.589976Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.423396Z digest=sha256:8627853557a0ed5adb6b217e91b2d8dad46bc00706ede5887e1549f8aa659f49

Observation 68541345-4d7c-4d15-a702-a890753ee148 · outbound

This paper cites Reflexion: Language agents with verbal reinforcement learning, 2023.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Reflexion: Language agents with verbal reinforcement learning, 2023

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.426776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.426776Z digest=sha256:830c6d59faaaef21ca5f6d860d546b65c9b20bced981e52c14a0ff8df8f532b6

Observation 7f56b684-119b-4bf6-a1e0-af0eaa759452 · outbound

This paper cites \ ALFW \ orld: Aligning text and embodied environments for interactive learning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks \ ALFW \ orld: Aligning text and embodied environments for interactive learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.573039Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.430132Z digest=sha256:548febe4e4e53a081ff53f7e75f0579e9ad4275337f32df92b50c75b6836a3a6

Observation 9f4bc174-0db3-40d1-b008-268f4d619590 · outbound

This paper cites Blocks world revisited.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Blocks world revisited

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.433709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.433709Z digest=sha256:b7d95babd6ce64058d014a9d7ac1b75bfc0a51ab1949993081e7ec552dd8bd86

Observation a128b41b-b0ee-4ba5-a5fe-1c57f63ed2e8 · outbound

This paper cites Scaling test-time compute optimally can be more effective than scaling LLM parameters.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Scaling test-time compute optimally can be more effective than scaling LLM parameters

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.437305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.437305Z digest=sha256:01c9203a6ae16143ed8cbc84f6a8ed7055f4fa919c2a374d2e9cacabb7b5cbe1

Observation 20e1b33d-e2aa-44aa-9bcb-55d7da49e4dd · outbound

This paper cites Informing reinforcement learning agents by grounding natural language to markov decision processes, 2024.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Informing reinforcement learning agents by grounding natural language to markov decision processes, 2024

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.556662Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.440663Z digest=sha256:f7cd18218467792a8a132d8f8721764951d3929cf03f338f3f36e1693bd9ee7c

Observation ee676fa0-5363-4a68-bdcb-251ef1b83b8d · outbound

This paper cites Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Think-on-graph: Deep and responsible reasoning of large language model on knowledge graph

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.546141Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.444354Z digest=sha256:05dff7a19524d234749f9dc371f9059c3d3da8a5370e365388ff9013a974eb5d

Observation 22fa9e8f-535a-4fc7-8e7c-ba31db9479fe · outbound

This paper cites Reinforcement learning: An introduction.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Reinforcement learning: An introduction

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.447759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.447759Z digest=sha256:84b3ee02665bcaa060e7c6e4f1a9bd4703af246f621baa47157a03c7073fe103

Observation a7f5397f-51e8-4e4e-b7fe-85b568251308 · outbound

This paper cites Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Planbench: An extensible benchmark for evaluating large language models on planning and reasoning about change

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.526763Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.451235Z digest=sha256:f107b4a90581e242529264c4ee5c90b703edc597fc437ea79d67bba8184bb4c9

Observation 9c6afc76-19d6-476e-909f-ab1a82aa0871 · outbound

This paper cites On the planning abilities of large language models - a critical investigation.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks On the planning abilities of large language models - a critical investigation

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.513529Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.454444Z digest=sha256:e4b681609312921d0f1fe373359978c80464a8c5f0d73f69cc96c589666bedcf

Observation 3e8cccae-fc11-42ca-9674-325d7bf3135a · outbound

This paper cites Alphazero-like tree-search can guide large language model decoding and training, 2024.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Alphazero-like tree-search can guide large language model decoding and training, 2024

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.499686Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.457813Z digest=sha256:0d7f7bf975e7d470544d7dff2b9f15e5042455dd9caf77cd98d33b754ac249f2

Observation 548cc433-55ad-44a5-b2a9-256a4618fa2c · outbound

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

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.461086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.461086Z digest=sha256:3de230328090dcddc35e5c0942281fee153cdae25cf867b12df56eadb65715f5

Observation 7eb567fa-0df3-4673-ad19-5e690bc79311 · outbound

This paper cites Hendryx, Summer Yue, and Hugh Zhang.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Hendryx, Summer Yue, and Hugh Zhang

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.486778Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.464955Z digest=sha256:5099e1ab462a334f64bdae13d54394a712de5701e967f239c9a4cc4dd712f9a4

Observation 8fd50480-1a12-4abf-a7da-57b2ff437323 · outbound

This paper cites Efficient evolutionary search over chemical space with large language models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Efficient evolutionary search over chemical space with large language models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.476064Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.468438Z digest=sha256:6e4283229c2721980050c4690139bd21c6be626506b37c3971f8c4e009b2e1d7

Observation 8f5873dc-3fa2-4cd1-9002-0bf01d792769 · outbound

This paper cites A survey on large language model based autonomous agents.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks A survey on large language model based autonomous agents

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.465901Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.471754Z digest=sha256:9f26b614eae7d7b529ada88ea690f94764369d66d166c36338c37cd8903b30ff

Observation 21a5fe52-8170-4875-9dea-a756e2f2b961 · outbound

This paper cites Task-completion dialogue policy learning via M onte C arlo tree search with dueling network.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Task-completion dialogue policy learning via M onte C arlo tree search with dueling network

Reference 66

Resolution
verified exact
doi, observed 2026-08-10T19:27:23.633808Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.474595Z digest=sha256:0b6a802ea1a0644cdddc4bdd34144acaf68a987c71f6795d8886de000bb5d36b

Observation 8df0f6e2-4459-43de-9e53-ec8d6cea2e76 · outbound

This paper cites From lsat: The progress and challenges of complex reasoning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks From lsat: The progress and challenges of complex reasoning

Reference 67

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T19:27:23.873464Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.477801Z digest=sha256:d3311ecd7df56b429fd2af3d75bf52e630cfc46d29b800e238615f257c5085e3

Observation 8b4a260f-c9f5-4391-867c-fbe805d86b41 · outbound

This paper cites Persuasion for good: Towards a personalized persuasive dialogue system for social good.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Persuasion for good: Towards a personalized persuasive dialogue system for social good

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.480844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.480844Z digest=sha256:8cc14f36f88081f7bb18b4b53aaebd4bf08e4d0b91354554d29430337fb33f75

Observation 99f573bc-3a73-4acb-b6fc-610ce9bd5bfc · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.483793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.483793Z digest=sha256:1f018889556912374944d957eddf32406c7f1b668a8b00329a5270bc85e20585

Observation 05dd5b64-0abc-495d-824f-3772e119a245 · outbound

This paper cites Learning from delayed rewards.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Learning from delayed rewards

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.486638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.486638Z digest=sha256:9fc0913c708448336f87ac7b379e79b4e3b7d43ebd080bd7560ef4ec4630ebee

Observation 0d609aa8-6e50-43e3-8e8c-e4b31598e0cd · outbound

This paper cites Chi, Quoc V Le, and Denny Zhou.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Chi, Quoc V Le, and Denny Zhou

Reference 71

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unresolved
no resolver link, observed 2026-08-10T19:27:23.489566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.489566Z digest=sha256:8f6c7541c4382f88020f405fff9c90198f857d9f2307ac8b00bb15246a75e3c3

Observation 97e1ecc8-5b49-4f46-b17a-071a1e3607d4 · outbound

This paper cites Self-evaluation guided beam search for reasoning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Self-evaluation guided beam search for reasoning

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.433124Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.492601Z digest=sha256:e0dbea714de4d9a11d37b3c2e81fe0178a4ade685a2ec9fef80023166f8ac0d0

Observation 762e91d1-ed07-44cc-8f27-572fac1edd02 · outbound

This paper cites On the Tool Manipulation Capability of Open-source Large Language Models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks On the Tool Manipulation Capability of Open-source Large Language Models

Reference 73

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unresolved
no resolver link, observed 2026-08-10T19:27:23.495454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.495454Z digest=sha256:6149ead123aa93c3089aeb8da1d09ced8b73af6801bc5b55624bba6b60fd7a0b

Observation 94292469-b5cd-4256-aebd-b0b83979f114 · outbound

This paper cites an unresolved cited work.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.498691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.498691Z digest=sha256:1f37845c7dd121301bfcf21a5c7743845bf16154d2d276de123803895a7946bd

Observation 0c1bcde0-415f-47b3-a589-c2117be0ae93 · outbound

This paper cites Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.501890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.501890Z digest=sha256:7586ba72cd5a0c39829e84d1722a9adf29ec0b8269a30c955f48fec1a5b86d89

Observation 6106a7e5-2d14-4441-87e1-a412c293bf00 · outbound

This paper cites De FT : Decoding with flash tree-attention for efficient tree-structured LLM inference.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks De FT : Decoding with flash tree-attention for efficient tree-structured LLM inference

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.421652Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.504876Z digest=sha256:5601aaa9055a6e39b18445ebe3f74094a605a3641e6ebd8470ae8afd99c77293

Observation 841c5590-209c-4e63-9104-db7dbc716795 · outbound

This paper cites Webshop: Towards scalable real-world web interaction with grounded language agents.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Webshop: Towards scalable real-world web interaction with grounded language agents

Reference 77

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unresolved
no resolver link, observed 2026-08-10T19:27:23.508179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.508179Z digest=sha256:47277f03c8ca9dc9c6ee86013d0ae13515b2985b04d6f14b14501ec09315e160

Observation d9ef6a6c-bec9-49e9-b445-17fd20fa6ef7 · outbound

This paper cites Griffiths, Yuan Cao, and Karthik Narasimhan.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Griffiths, Yuan Cao, and Karthik Narasimhan

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.510905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.510905Z digest=sha256:6ee10ea78a7e1531c1e5f61cb48b2e0e3d1d355fe185e1238f162f5111d25a9c

Observation 96d2f1cd-1970-49fd-873b-4ca1067aa208 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks React: Synergizing reasoning and acting in language models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.513716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.513716Z digest=sha256:90e9284ec2c8eb4e121cc401cd1b6968cb054a7374af01a31508df6c4bf1794f

Observation a7f26d23-066d-4b20-bb90-4ebb26899679 · outbound

This paper cites The value of semantic parse labeling for knowledge base question answering.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks The value of semantic parse labeling for knowledge base question answering

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.517047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.517047Z digest=sha256:a55d55452947dfdb1ca496809cddcf9fe6366e8742b88cb56d34fffe4be897c9

Observation b6b50276-5f1c-4326-8e98-d1ccd6ac9584 · outbound

This paper cites Prompt-based monte-carlo tree search for goal-oriented dialogue policy planning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Prompt-based monte-carlo tree search for goal-oriented dialogue policy planning

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.391256Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.520789Z digest=sha256:43e9056c4bd39915022d2608b7ee6400e9f91b8228ff96e4441208b0f8676df8

Observation 1d69ce47-b12b-4395-af27-6010f0eb501d · outbound

This paper cites DOTS : Learning to reason dynamically in LLM s via optimal reasoning trajectories search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks DOTS : Learning to reason dynamically in LLM s via optimal reasoning trajectories search

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.381224Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.524360Z digest=sha256:4c1b3e27683414e2191230d8489e64769ffded127a2b7c690d3c0c36a44ab286

Observation 9a0f076a-f2c2-4984-8f57-e9ad4f3e5e97 · outbound

This paper cites Re ST - MCTS *: LLM self-training via process reward guided tree search.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Re ST - MCTS *: LLM self-training via process reward guided tree search

Reference 83

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unresolved
no resolver link, observed 2026-08-10T19:27:23.528057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.528057Z digest=sha256:4352a94d84c9358522b6d188ca46c22a68cf8f7c1197d6464dd1d06b1619b66b

Observation ca10d0da-a330-4e5c-ab2f-b4b2debb5720 · outbound

This paper cites AF low: Automating agentic workflow generation.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks AF low: Automating agentic workflow generation

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.363686Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.531519Z digest=sha256:e17c443f40afe3a2af6fca784475c748c08112f946452a2ce99adb5e794b9bcf

Observation bb449357-6d1f-49bc-ae20-74fac4be7a20 · outbound

This paper cites Tenenbaum, and Chuang Gan.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Tenenbaum, and Chuang Gan

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.352603Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.534829Z digest=sha256:6ed3f9eb4a67dc353915c7bf95b311d4c21745ccbd178b09940e5ecd3515ede4

Observation 1df432bb-c701-48c4-98fe-c74a16db7b0e · outbound

This paper cites Chain of preference optimization: Improving chain-of-thought reasoning in LLM s.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Chain of preference optimization: Improving chain-of-thought reasoning in LLM s

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.340168Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.538247Z digest=sha256:c6ded2910c3a2bb8a1dca71a5fb589ba36713851c6dc056772d1a83278828cb7

Observation 2f4bb1ff-60e3-41e3-a9bf-9d2f5f1852be · outbound

This paper cites Large language models as commonsense knowledge for large-scale task planning.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Large language models as commonsense knowledge for large-scale task planning

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.328196Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.541604Z digest=sha256:9b2779c500916ca3c9a4a1b06f20974e2242da351c088342014d10f0319d356d

Observation 0aaba617-d686-4206-8946-3d4258962de0 · outbound

This paper cites What makes large language models reason in (multi-turn) code generation? In The Thirteenth International Conference on Learning Representations, 2025.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks What makes large language models reason in (multi-turn) code generation? In The Thirteenth International Conference on Learning Representations, 2025

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.316942Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.544939Z digest=sha256:8328b618d1cbe0157a25f6d659957425159983397193a0265d6828d913e8e060

Observation 2856245f-d954-46c3-92ba-99b3608fbd86 · outbound

This paper cites Analytical reasoning of text.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Analytical reasoning of text

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.548246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.548246Z digest=sha256:d3db63451706a5196ced16faa87483c1ad180aa5e31fc42c7f1e3c6d7da330b7

Observation 7431a7ec-604a-4bc7-bd47-a25fc223e0b3 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 90

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unresolved
no resolver link, observed 2026-08-10T19:27:23.551756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.551756Z digest=sha256:ccb721f99d57243d1c9c7754084d248164f140e9b491f692083b923a8fdcb3df

Observation 19c295eb-5ebf-43f8-94eb-bd995e182ab2 · outbound

This paper cites Language agent tree search unifies reasoning acting and planning in language models, 2024 a.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Language agent tree search unifies reasoning acting and planning in language models, 2024 a

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.305525Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.555678Z digest=sha256:136eae3900e061c31c5cf61588b276f6a3a72ffa626fb6beff321e16a44520ad

Observation 4e11743c-2ebd-4eeb-bce6-44a7b7a2d5fc · outbound

This paper cites an unresolved cited work.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Unresolved cited work

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-10T19:27:23.559182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.559182Z digest=sha256:fd8a513c1e7765e12eeea6b42afe1c0df9b3cf44c43d61fe59231805e0b25078

Observation b338bda1-304c-4e18-b4dc-3548bdaa6c14 · outbound

This paper cites Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.287046Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.562544Z digest=sha256:dc33226f7ec7e29f6c2c688272e43c7acbe2464dd907f3906754baf059c3b71b

Observation adf9ccfd-5e11-48d3-82dc-7cee0e1bf652 · outbound

This paper cites Rossi, Somdeb Sarkhel, and Chao Zhang.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks Rossi, Somdeb Sarkhel, and Chao Zhang

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T19:27:24.276737Z

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.

source=arxiv_source observed=2026-08-10T19:27:23.565972Z digest=sha256:67d03646c01ce221f27ab01d81064c0098edcb3a208197dd86fa365919b5fe7b

Observation 5115e76c-f7f0-4c2e-8baa-f21ee7e9ae02 · outbound

This paper cites write newline.

A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks write newline

Reference 95

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unresolved
no resolver link, observed 2026-08-10T19:27:23.569311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T19:27:23.569311Z digest=sha256:2700a199ec71d4887d39fc10bb2907d6a1d0ed2978779a5d9c979a20e446187e

Pith citing papers

Observation de7ee1c1-9ed3-4adb-86e6-a016d3d0146e · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

Reference 66

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unresolved
no resolver link, observed 2026-08-09T16:18:40.793196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:18:40.793196Z digest=sha256:9a2c0cf4729faa09053db9850b19868aae98598627d761636abd6eca7accd442

Observation 02772e5a-6f2f-4b64-95a9-e3ef28d7b969 · inbound

SLOT: Sample-specific Language Model Optimization at Test-time cites this paper.

SLOT: Sample-specific Language Model Optimization at Test-time A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:16.937355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:16.937355Z digest=sha256:3103c790ccca838e41e1c8655c768cfa7cf3c40799e302a7b2bdfbfffadcf5f1

Observation 27e8b020-eb5b-4619-9341-d453c3383f62 · inbound

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective cites this paper.

Deciphering Trajectory-Aided LLM Reasoning: An Optimization Perspective A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

Reference 56

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unresolved
no resolver link, observed 2026-08-07T14:13:07.442289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:13:07.442289Z digest=sha256:7a26d4098e0a38d99f6fc31941284b8a4974071eb37090185ff70d5308fb7c21

Observation 4a9f9166-e000-46ce-b89f-e663b8216b5e · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

Reference 25

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unresolved
no resolver link, observed 2026-08-07T12:35:28.325869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:28.325869Z digest=sha256:886dec5880092cfb2cfa4ad1b43cb9574488b38840f37d9f63ccc473af812f45

Observation 44649f0b-322d-4931-b163-64818cd5a2a0 · inbound

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning cites this paper.

Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning A Survey on LLM Test-Time Compute via Search: Tasks, LLM Profiling, Search Algorithms, and Relevant Frameworks

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:09:40.661608Z

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.

source=pdf_text observed=2026-06-26T12:15:08.304150Z digest=sha256:d8200457ad3eb4aa5aefe2d3e65708e7d4022e629d7d1f33cccc531d007f65dd