Paper Citation Record · LEDGER

When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.10890.

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

pith.paper-citation-record.v1
2402.10890 v2

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 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:58:54.978726Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:56.439257Z

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 af91cf21-96d0-4cb7-b468-6b50eddc7cee · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T05:58:54.978726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00fdb688-d4b2-4cbf-8f2c-63fa32f4f3dd · inbound

Iterative Deepening Sampling as Efficient Test-Time Scaling cites this paper.

Iterative Deepening Sampling as Efficient Test-Time Scaling When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T19:23:26.291156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed9861f2-c0aa-4b8a-8b1a-bb5b5947fd14 · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

Reference 118

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.046847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12b27095-02cb-4758-bede-b30dfce2d0a7 · inbound

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation When is Tree Search Useful for LLM Planning? It Depends on the Discriminator

Reference 113

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:48:56.440541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.