Paper Citation Record · LEDGER

Language Model Self-improvement by Reinforcement Learning Contemplation

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2305.14483.

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

pith.paper-citation-record.v1
2305.14483 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:28:48.464964Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T20:56:13.461679Z

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 28bd4512-e841-440e-9f47-4f4374a6446d · inbound

ORPO: Monolithic Preference Optimization without Reference Model cites this paper.

ORPO: Monolithic Preference Optimization without Reference Model Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:34:04.809974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0606a24e-2b8a-4b71-8ce6-82a7fb95be5d · inbound

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering cites this paper.

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-12T18:28:48.464964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0a80c5d-efc9-4ee1-ac42-e7fcbf1dbff1 · inbound

Self-Improvement in Language Models: The Sharpening Mechanism cites this paper.

Self-Improvement in Language Models: The Sharpening Mechanism Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T00:11:14.748447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772a2b83-e15b-477e-8172-fcd57b69dc48 · inbound

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation cites this paper.

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:46.146757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b070e946-c315-49d8-9c69-342c55e82370 · inbound

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression cites this paper.

Training Dialogue Systems by AI Feedback for Improving Overall Dialogue Impression Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T16:57:52.007090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db0cbb67-4e25-44f8-8137-86ad2df344de · inbound

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection cites this paper.

ReflectEvo: Improving Meta Introspection of Small LLMs by Learning Self-Reflection Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T15:04:40.606818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146c8736-2eec-4e14-a68a-1608ba13afdb · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:25.233251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 935ec621-b806-41bb-8664-74fac4b71b8c · inbound

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning cites this paper.

Empowering VLMs for Few-Shot Multimodal Time Series Classification via Tailored Agentic Reasoning Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:49:10.282952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bb69859f-194a-438b-a684-327ef2e2384c · inbound

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation cites this paper.

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:24:08.664516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b85f5bf-8ad4-41b0-8a03-48eef99ed6c6 · inbound

Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models cites this paper.

Improving Collaborative Storytelling with a Multi-Agent Framework Based on Large Language Models Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:43:14.199980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6911b7cb-e2a2-4332-af9f-7fed2b06b107 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:13.463123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a1838133-bd51-4c1f-bf27-58ee53ce2e5c · inbound

Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR cites this paper.

Don't Peek at the Answer: Outcome-Masked Group Relative Policy Optimization for Label-Free RLVR Language Model Self-improvement by Reinforcement Learning Contemplation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T00:57:30.462207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.