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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:9b724b7f12465874c8322ee26855136e53c30a31dae3608b7bf3e1cc562353a0

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:b9df95fbc1ee71e04f796ddd1752ed7d5854e41d5d2bab5ddc48d77d6e45f2c8

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:a104ccc2db83b6b565329530df65e049dbf497b26a52ba5fccf2ff49844f6b77

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:aac7aa24f70e6e405a8706c7c4b7edeaf27e68ece5d095a85f60d47aab75364d

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:d4a7499f0b57e1fca9d3d71e1d29741125c736d74a4bf4e2b0cfa168c8b230f6

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=sha256:55ca12a97828b5cd7e6e1be8d6492319a560a74bf64361f9e616930e4e2f6fc6

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

source=pdf_text observed=2026-05-10T07:36:11.917011Z digest=sha256:712347e9ce1393b6674efc964f1e2c5547dbda7427e409ed6a995169720d10b8

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

source=pdf_text observed=2026-05-07T03:51:13.913362Z digest=sha256:b805e798d371d151758876853a206dd72c98999c16c32d87ec5f23ade3846500

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

source=pdf_text observed=2026-05-08T18:11:07.274938Z digest=sha256:de0b835d866bcdea6abd0cea2d6bc68dd55c99d06e0cf7a8b1bee7af05e05428

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

source=arxiv_source observed=2026-05-11T02:28:20.366674Z digest=sha256:2639f7140ffadc71511446b0a41640820f8fd8e7a867245bb91d7ecc5d489aea

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

source=pdf_text observed=2026-06-29T12:02:14.499758Z digest=sha256:1a9000f87d10c9adeb06e5233b24d1c99e4d1ef2850e91b4e691145303a4e45b

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

source=pdf_text observed=2026-06-27T18:51:09.003780Z digest=sha256:313e8c4537605ee97e9c70becc487dd4045bd6456b51c33dbe1d2b6f87fabb40