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Paper Citation Record · LEDGER

Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.10635.

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

pith.paper-citation-record.v1
2408.10635 v3

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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:58:46.670272Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:22:03.244759Z

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 b29dab4b-ead1-4629-92cb-98edfaece75e · inbound

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios cites this paper.

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-11T21:58:46.670272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:58:46.670272Z digest=sha256:fba23e3e5d3c4e47fc6f9ba09c35a349bcb3b0cd53ceb20c08babe7a508eb057

Observation dbe50344-23bc-4dd6-b5b5-afd588893e4e · inbound

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training cites this paper.

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:22:03.251016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T18:22:02.528542Z digest=sha256:60482f56af519ab75a464c58c5f7ad254b20d934e27516650a28f8dcef2bb296