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Paper Citation Record · LEDGER

Large Language Models can Implement Policy Iteration

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.03821.

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

pith.paper-citation-record.v1
2210.03821 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T13:53:50.979339Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:51:41.938162Z

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 29d8a6a3-e6db-4f99-ba39-f6a18793d898 · inbound

Reflexion: Language Agents with Verbal Reinforcement Learning cites this paper.

Reflexion: Language Agents with Verbal Reinforcement Learning Large Language Models can Implement Policy Iteration

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T13:51:41.939961Z

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=2026-05-10T13:51:41.915864Z digest=sha256:b40388ce85beef05e8f24097e65f8ce2d63eabb7069fc49b25f6051a8d686f38

Observation b41cc84e-584a-4778-984d-0928e30268b6 · inbound

LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis cites this paper.

LiteOdyssey: A Lightweight Reasoning AI Agent for Interpretable Rare-Disease Diagnosis Large Language Models can Implement Policy Iteration

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-12T13:53:50.979339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T13:53:50.979339Z digest=sha256:87911566520e6f6349266effb681957e957f189a6dfa2097d6609a038bdee762