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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:b03cc1a13db1da529c045223fbcf616a0a8857221925a90295c4102850fa0c64

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:8c0dbb8df5bd3d5b6ec060cdf77c5f8ecc2fc7f197c0fe1d5627bb4e0e140f19

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:e44acd56022a97f1d448264b0f976037d5128d9f3d870d02af22f612c886e95a

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=sha256:39a29cf580a8130f77fda7ac234acf64843e929d6389900e3b3f3ed9aea76826

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=sha256:35421c531e57bf91d93163669d611bc5dcb0fd06de48993b1935678edc59e85e

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:e27580c2a17f775d665800891f7c60c34694bf46e521c56deeba517ceabe91e9

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:e239a0befe73d43a52d98d3910304d77bd9cbe32eebbfc9413cb63e40576c831

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=sha256:52f44ee010d76ab2d3333e7b9d5159248d4bd09444677968e7f1064346691e54

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=sha256:33a4bb7ca8671c8e0d37ab20b347b2a9043c840d31d75604f101e3564d27ef1f

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:be7ab1e1f90eb6ef8b3540877dd027d3a54255de6bc58a9f4af26d95599bee67

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:e10360405d079f1c0f7cc6d121a728df01529363a8f188016bdc64b546183f4d

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=sha256:2b8cd7e2759c246ad8236abddc5df19c42c02345cb9679e9d1a9aa09308c2cb5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:32355b0d3edb972e7e22bd241189d6511fb756da826a13ae9b5edf8a27e56efa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T05:48:30.118982Z digest=sha256:03dbe933e5130108722a825a862c910217b49aef46ea056a3cf40796211935bf