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Paper Citation Record · LEDGER

Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2502.12521.

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

pith.paper-citation-record.v1
2502.12521 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

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

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:57.803026Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T22:27:26.280600Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 31782a33-d74e-4356-aa41-cca451875cec · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:57.803026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:57.803026Z digest=sha256:287c9a3d63017f0a36d9e91285ebd31c1d3dfb15dd07b3c2faadd592c7bb3e83

Observation e6186f45-f387-4eaa-8c0c-0ba4ae4d219d · inbound

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics cites this paper.

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T04:33:10.196140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:33:10.196140Z digest=sha256:e23dae36f15594ef3b4c8b580392af3209a402388db94eb3d8a847c6c47f37cc

Observation 6afbd166-4ca9-4230-9236-1c3cb1355bbe · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 149

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.574379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.574379Z digest=sha256:0465395d55f6b9053a2d6ad263152faf19ad5d1d44a4004e0e790f65c9a1ee5c

Observation 16f86172-7fbb-48e7-b456-f52abe75967e · inbound

Quantum Circuit Generation via test-time learning with large language models cites this paper.

Quantum Circuit Generation via test-time learning with large language models Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-03T05:02:36.171532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:02:36.171532Z digest=sha256:45e907c3262b78de978300092ddb1981eff329844f89b54baf2f0ad137f2f031

Observation 90d56106-17c6-4099-9ffa-c5a428c04eaa · inbound

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

Empirical Modeling of Therapist-Client Dynamics in Psychotherapy Using LLM-Based Assessments Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-02T23:52:48.512622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:52:48.512622Z digest=sha256:d5f3b8ddb4817473f657e6a474a2732f354e55c2eb2dcf713fe6304d83ce81a2

Observation a8a595da-bf0b-40c4-9572-5187cb845b79 · inbound

Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search cites this paper.

Relational Semantic Reasoning on 3D Scene Graphs for Open World Interactive Object Search Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-15T14:22:08.027014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:22:08.027014Z digest=sha256:ed065b755d4e5421e624dec06186657c301feded72c63d59003a88e2942888b4

Observation 730b0493-ca95-43e0-ac2d-8ddb62c3a4d9 · inbound

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus cites this paper.

The Cognitive Penalty: Ablating System 1 and System 2 Reasoning in Edge-Native SLMs for Decentralized Consensus Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:37:04.252111Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T07:36:11.917011Z digest=sha256:63f4c6964039bc861e9aeede2118da828356dd7c5e4122ece18c40c83db60e1e

Observation bcf3290e-daa6-4456-9d52-db12b79c41c9 · inbound

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning cites this paper.

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:31.933351Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-07T03:51:13.913362Z digest=sha256:acd046f2af0a5353b2f2c47c3d69c0d343722d7a3a039ae3416e8a53aa83c1fd

Observation 3db2e97b-5e00-4037-bdec-e56a10f6ebb1 · inbound

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning cites this paper.

Mitigating False Positives in Static Memory Safety Analysis of Rust Programs via Reinforcement Learning Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:45:40.447550Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-08T18:11:07.274938Z digest=sha256:2eafb451aad7178047877b8a41e6d9c8c583fab87afa3c746e255b36057bfc46

Observation 3ce8811a-b22d-439e-a46e-3c250dcfc353 · inbound

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation cites this paper.

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:25:58.096847Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-05-11T02:28:20.366674Z digest=sha256:8c19add96f71c0c42421ab1a1cc63c68caf2950b8187c86569a836364bae099c

Observation 7c5d82ba-b8ed-4954-b86a-38acc8cb8483 · inbound

Do LLMs Build World Models From Text? A Multilingual Diagnostic of Spatial Reasoning cites this paper.

Do LLMs Build World Models From Text? A Multilingual Diagnostic of Spatial Reasoning Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:03:23.687504Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-29T12:02:14.499758Z digest=sha256:5cf8dce6959bb2e0abcab3026e1197707399314f8ce989e0ef107597ac8a084d

Observation bb776931-d71c-43fa-a613-529118c93aee · inbound

Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration cites this paper.

Distilling LLM Reasoning into an Interpretable Policy Tree for Human-AI Collaboration Inference-Time Computations for LLM Reasoning and Planning: A Benchmark and Insights

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T22:27:26.282595Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-06-27T18:51:09.003780Z digest=sha256:55a52ed924bacc66c7ec342ac5dfb2d2e4e1ffb650688eeb947fc9a0b71d2bb5