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Paper Citation Record · LEDGER

Large Language Models Are Semi-Parametric Reinforcement Learning Agents

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2306.07929.

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

pith.paper-citation-record.v1
2306.07929 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T18:12:57.568144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T18:12:57.647051Z

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 84e162be-6c21-43a2-be74-b9604ce0ff95 · inbound

Understanding the planning of LLM agents: A survey cites this paper.

Understanding the planning of LLM agents: A survey Large Language Models Are Semi-Parametric Reinforcement Learning Agents

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:12:57.648805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T18:12:57.568144Z digest=sha256:a105615e56313ba988b8002456eb7ff7261cdfd476c3fd9ea82c41a25f300e89

Observation 4cad7f36-8d5b-4653-b8e7-8914cf711108 · inbound

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints cites this paper.

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints Large Language Models Are Semi-Parametric Reinforcement Learning Agents

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:01:05.359405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:21:20.729928Z digest=sha256:ae7df457a4ef303f27d0539d509463984b2e48b47ddce0d66070ea511840cbf7

Observation cb6d1e96-8b55-4796-91bb-cfc319d15f3a · inbound

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints cites this paper.

Architecture Matters More Than Scale: A Comparative Study of Retrieval and Memory Augmentation for Financial QA Under SME Compute Constraints Large Language Models Are Semi-Parametric Reinforcement Learning Agents

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:46:41.786913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:56:16.227411Z digest=sha256:fdb6a8ea2ddc4e9f56ed3a3d7aecb041e7cbb60a3990c76ac42d601499791cde