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Paper Citation Record · LEDGER

OISD: On-Policy Internal Self-Distillation of Language Models

As of 23 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2605.29089.

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

pith.paper-citation-record.v1
2605.29089 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:44:02.473237Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fc1eb08-8c41-4977-a302-9947b02f32d5 · outbound

This paper cites Proximal Policy Optimization Algorithms.

OISD: On-Policy Internal Self-Distillation of Language Models Proximal Policy Optimization Algorithms

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:53:28.989477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:44:02.473237Z digest=sha256:32120367bb875858eea02d9b302d4d580e198c513b7e254d639a4432f164b732

Observation f8f7eaa9-43ba-4813-9f11-cea352991725 · outbound

This paper cites Reinforcement learning fine-tuning enhances activation intensity and diversity in the internal circuitry of llms,.

OISD: On-Policy Internal Self-Distillation of Language Models Reinforcement learning fine-tuning enhances activation intensity and diversity in the internal circuitry of llms,

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:53:28.987034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:44:02.473237Z digest=sha256:bf3c4553c683d6e1fb9ad28bea3128a19a7a5955a2084ef35a6094782825bd74

Observation c1de18ef-9de2-4bfa-bc2d-364aea287989 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

OISD: On-Policy Internal Self-Distillation of Language Models Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-06-29T13:53:28.984365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:44:02.473237Z digest=sha256:0504ebcfd5c290c20106457433ea09b7c492796c6585c4efe8f88d8d06c58f81

Observation 9cfad5e2-76ee-4e52-9842-341721606658 · outbound

This paper cites This distance can be written in the form m√n p , where m, n, p are positive integers, m and p are relatively prime, and n is not divisible by the square of any prime.

OISD: On-Policy Internal Self-Distillation of Language Models This distance can be written in the form m√n p , where m, n, p are positive integers, m and p are relatively prime, and n is not divisible by the square of any prime

Reference 4

Resolution
unresolved
no resolver link, observed 2026-06-29T13:44:02.473237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-29T13:44:02.473237Z digest=sha256:5fc6ac15a9c50fdc6a0cf1a9040065ee48036d3543eaf150d30f402ed396db25

Pith citing papers

No inbound Pith citation observations are available.