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Paper Citation Record · LEDGER

RoT: Enhancing Large Language Models with Reflection on Search Trees

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.05449.

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

pith.paper-citation-record.v1
2404.05449 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:17:36.577964Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T11:13:40.859007Z

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 6b103385-4db8-455e-b481-c2aa4baab246 · inbound

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks cites this paper.

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks RoT: Enhancing Large Language Models with Reflection on Search Trees

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T14:02:49.114922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:02:49.114922Z digest=sha256:3686f80533b434e9fee8c23f8f216e333ce349a4fcb8fd1461201d6c243d5517

Observation dd8b40f4-6e39-4b5c-a791-ec87600b0358 · inbound

Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations cites this paper.

Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations RoT: Enhancing Large Language Models with Reflection on Search Trees

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T14:43:56.540761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:56.540761Z digest=sha256:ee97ba9f698ed6a7a8220182d0158bde5f84be638300a13832c86e97aff49734

Observation c1b3b401-3471-4fab-bb79-f1695eff8423 · inbound

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation cites this paper.

Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation RoT: Enhancing Large Language Models with Reflection on Search Trees

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-09T11:13:40.864476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-09T11:13:39.778895Z digest=sha256:26c2f266add0767c610d1f042f38c0c805b6aa9f3e6877d247417c2c10e6df9f

Observation 786eff8a-1393-4ee2-8ab8-3f9826e0be6d · inbound

Accelerating Large Language Model Reasoning via Speculative Search cites this paper.

Accelerating Large Language Model Reasoning via Speculative Search RoT: Enhancing Large Language Models with Reflection on Search Trees

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T04:17:36.577964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:17:36.577964Z digest=sha256:e20a88833e0753e2090c4afc77521256dd45eb31da672f91ea244fa8cab51b62