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Paper Citation Record · LEDGER

DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.03209.

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

pith.paper-citation-record.v1
2505.03209 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T22:47:50.933988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T22:52:45.638498Z

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 de77a3f3-1f50-4bee-b5c8-123fdbd1ed03 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning

Reference 265

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:23:15.312910Z

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=arxiv_source observed=2026-05-14T22:23:14.621091Z digest=sha256:6daefd309b0cc0108756f8e7218bb20091505acc5be1c54b8224c123290ce8f8

Observation a09a76b5-2b6f-478b-9c5f-bc176a6d7af2 · inbound

METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues cites this paper.

METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:06:01.372546Z

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=arxiv_source observed=2026-05-10T15:10:29.983036Z digest=sha256:28451f81cdeac75cdc9e63d878eb954a594535d296aa780ff71af005bf871bf0

Observation cb254c95-206f-4218-beb4-490d37322cf1 · inbound

Skill Reuse as Compression in Agentic RL cites this paper.

Skill Reuse as Compression in Agentic RL DYSTIL: Dynamic Strategy Induction with Large Language Models for Reinforcement Learning

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T22:52:45.639787Z

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=2026-06-28T22:47:50.933988Z digest=sha256:816826dc1897f77a63bf27383a3c52da46541d82d4debbfb9dbf3d9a44cefbc4