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Paper Citation Record · LEDGER

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

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T19:58:58.948897Z

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T19:58:58.948897Z digest=sha256:da1d32f910d461cb85647393d6e26358f09fe3fb6b3d42ea89db6461a28b572a

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 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T15:49:26.750021Z digest=sha256:0d00a8634d13d6d24d356495f5e365cabcab0b6d5d74380b1976ade9642ddd1b