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Paper Citation Record · LEDGER

Dynamic Parallel Tree Search for Efficient LLM Reasoning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2502.16235.

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

pith.paper-citation-record.v1
2502.16235 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:42.874924Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:51:08.774325Z

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 e96b94be-0872-4c52-a41d-7a78f2c7d0dc · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:40:42.129488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:52a5d2c763e98473efa3eec9a1e4534ad7bbca454d7b9eee21927dcd164fb2cf

Observation 0de01068-95e7-4745-902d-860a88ca2a81 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:29:57.530571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:934d78e0702d40b86a1db6560512cd1d41b138eeaf51b9aa503b60606896ac85

Observation 67516683-57f7-449e-9b19-ab6c8baba553 · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T12:02:42.874924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:02:42.874924Z digest=sha256:42df8e749658fe09b2cca54367a9622db3645ae743f48615ba2e16b4c5bb2cb4

Observation 0eef2f8d-8868-4796-b00b-0a76d99d611e · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:06.251549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:06.251549Z digest=sha256:9ec4d561e1df2f5e0e3d62acf299137c168e2baf677a622223f678926d2e9665

Observation a4e7169c-3d25-432a-8431-d7534ce344cd · inbound

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning cites this paper.

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:28.703076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:28.703076Z digest=sha256:d7a713481eb033329be5484f129c1c903b79d547131b5dd6ee64bbd8da1ea4e7

Observation b77cf157-2608-437d-b359-00e3add75c2f · inbound

Can Past Experience Accelerate LLM Reasoning? cites this paper.

Can Past Experience Accelerate LLM Reasoning? Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:55.776430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:55.776430Z digest=sha256:747d44a7fc04cdbb23ae42c53659d6d7100535a93a428113fc3a44609924d501

Observation 8836c54a-ce19-4ed0-99dd-33f3f64ef00b · inbound

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models cites this paper.

PREMISE: Scalable and Strategic Prompt Optimization for Efficient Mathematical Reasoning in Large Models Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:26:28.407702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:26:28.407702Z digest=sha256:221adc70254f384fab72b633d47ff705e94c43e28b15684bebfaf3fae8a607b0

Observation ad293dbc-b6e4-4eeb-b56f-d774d25b3502 · inbound

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control cites this paper.

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:45.915401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:00:45.915401Z digest=sha256:c4f506b3278f9ea8809ea3dfc047dae56ed9d72abc802e0f360888cb39b7f8da

Observation 87e5a839-404a-4717-90ad-3c27acf4f4e0 · inbound

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs cites this paper.

Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:10.273660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:10.273660Z digest=sha256:6ec826c29de93d667fed6745e5a100bc3138334d13ed34836ad2580a9339a255

Observation a301fece-92c4-454e-8911-5820cb675e10 · inbound

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs cites this paper.

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:16:31.278345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:16:31.278345Z digest=sha256:52c2f3326d1ea8c00c378dc6b9b0341e1942b2f144ce3823176c0df3eb11a00c

Observation bf547cc7-471a-431c-a0fa-dd6c01112d2b · inbound

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T15:37:24.874870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:37:24.874870Z digest=sha256:4c4f7e3ac7dc162d6702229f48596aa2ed3ce995e6728895ece2e8410ba91971

Observation fe04b8f6-826f-4da9-8c1b-731f3803f7ce · inbound

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning cites this paper.

Not All Errors Are Created Equal: ASCoT Addresses Late-Stage Fragility in Efficient LLM Reasoning Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:55.001261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:32:55.001261Z digest=sha256:d7e2a25bec0c9358172fe80f1c9394608e2f9a2f21930b6d0615744fc9fc0b70

Observation eb9c8398-343c-4579-a2fd-633e3188cf9f · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 131

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:06:09.391667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:133117ea1f6020c93ae67263492f0c3b0a83d28a1644416402887ce75eef3ebf

Observation c49bdb0d-81f4-447a-89c5-7033e0d8c3ed · inbound

ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning cites this paper.

ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning Dynamic Parallel Tree Search for Efficient LLM Reasoning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:51:08.777955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T05:48:30.118982Z digest=sha256:57a94ee5efb2faacc0c884daa7f8d95ac80eedaaaf11fe56ecf4b6f85fc40f9e