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Paper Citation Record · LEDGER

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.03864.

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

pith.paper-citation-record.v1
2410.03864 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:56.493681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T19:58:58.966159Z

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 cbd63524-767a-4f0d-b0db-fc304e6053fa · inbound

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments cites this paper.

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:58:58.969691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T19:58:58.948897Z digest=sha256:16d069b45e9ffb4089a57e61039d707a4f6d2c826704ea4c841df105904c8ea2

Observation e942f195-6382-45c8-b572-097869b158b3 · inbound

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection cites this paper.

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:56.493681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:56.493681Z digest=sha256:b0968448df744b601f9eeaaa77355b2e1a214ed1b73d03c4727d6aa91d2f3a07

Observation 88ac403f-f968-4ebe-a156-1159ee29b95b · inbound

PresentAgent: Multimodal Agent for Presentation Video Generation cites this paper.

PresentAgent: Multimodal Agent for Presentation Video Generation DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T20:01:29.149835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:01:29.149835Z digest=sha256:7d49512911ad36a73c1b5a76841a1311997c92ab0c8a60733a28d469f1476d54

Observation b1e66fad-6407-4e70-a055-f7ec5ad93b3f · inbound

LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought cites this paper.

LETToT: Label-Free Evaluation of Large Language Models On Tourism Using Expert Tree-of-Thought DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T20:05:35.942960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:05:35.942960Z digest=sha256:9458f441e34a790ae1c3d40864fb4a41ed1fbab9e14168178640219919c1cf64

Observation 16740b17-4d5c-4429-93af-0244cd6032c9 · inbound

TIME: Temporally Intelligent Meta-reasoning Engine for Context-Triggered Explicit Reasoning cites this paper.

TIME: Temporally Intelligent Meta-reasoning Engine for Context-Triggered Explicit Reasoning DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:51:05.420917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T15:49:26.750021Z digest=sha256:8fe2cb8af6ba44d9f2b195b99c43da95f81a97c5f8fe7e366584579f926e1042