Paper Citation Record · LEDGER

KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2506.02208.

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

pith.paper-citation-record.v1
2506.02208 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:15:50.891014Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T12:33:45.190652Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8d152d08-91fd-4ac5-b84e-58206f25b39b · inbound

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance cites this paper.

Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T19:02:43.873939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5971ec2e-4c87-4006-8d9b-3bd1882168b5 · inbound

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle cites this paper.

Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 198

Resolution: unresolved; no resolver link, observed 2026-08-04T16:07:44.633196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b486ff-92f8-4c8a-8e3f-8cc7583ff877 · inbound

VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation cites this paper.

VOLD: Reasoning Transfer from LLMs to Vision-Language Models via On-Policy Distillation KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T07:57:26.211367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20561600-97a2-4b49-a18c-94857ce0b58f · inbound

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents cites this paper.

Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:31:00.859941Z

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.

Observation 79670b7c-b18d-4eb9-968e-3dbbe5ac9c10 · inbound

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting cites this paper.

SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T22:24:51.874340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb03e82-9d72-416d-8c1f-d69e288d04b6 · inbound

Characterizing Model-Native Skills cites this paper.

Characterizing Model-Native Skills KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:11:20.617234Z

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.

Observation bf4c15fe-1558-42a2-9fac-0b2e4c0513e2 · inbound

Structured Role-Aware Policy Optimization for Multimodal Reasoning cites this paper.

Structured Role-Aware Policy Optimization for Multimodal Reasoning KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:25:58.237485Z

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.

Observation e791c93a-73ea-4480-8d79-6d9ac748c9e9 · inbound

Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair cites this paper.

Signal Reshaping for GRPO in Weak-Feedback Agentic Code Repair KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:25:59.234734Z

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.

Observation 2f34ad15-5089-42fe-93f8-744e0e90f97d · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:31.269454Z

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.

Observation 63c379f9-c1f8-456d-86c1-137068c3cfcc · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:07:42.300161Z

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.

Observation 71e57212-c1da-43f2-8692-a5d3608b8faf · inbound

CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization cites this paper.

CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:31:26.466360Z

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.

Observation d23ae8c3-3675-4eba-bd0e-96a9b678e0d9 · inbound

Multi-Rollout On-Policy Distillation via Peer Successes and Failures cites this paper.

Multi-Rollout On-Policy Distillation via Peer Successes and Failures KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:32:59.839839Z

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.

Observation 9246a7d8-c7b7-4c3b-bca6-6d190305d287 · inbound

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence cites this paper.

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:12:54.742130Z

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.

Observation b3a484d2-b832-4b9e-baa0-f76a8cebdf82 · inbound

One-Way Policy Optimization for Self-Evolving LLMs cites this paper.

One-Way Policy Optimization for Self-Evolving LLMs KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:01:15.509689Z

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.

Observation 94c30858-349e-4749-b2b8-ac3df692453f · inbound

Cross-lingual Self-Consistency for Multilingual Reasoning with Language Models cites this paper.

Cross-lingual Self-Consistency for Multilingual Reasoning with Language Models KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-01T21:26:14.307856Z

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.

Observation e3988326-fb10-4f49-996b-d6c8a77ad7b1 · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:56.061982Z

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.

Observation b01bd5d6-69f5-4f3b-b464-8a3f70d817e0 · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-07-07T12:33:45.192381Z

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.

Observation 64d41ed5-9b4c-4adb-a93e-dcf3a9891769 · inbound

Weak-to-Strong Generalization via Direct On-Policy Distillation cites this paper.

Weak-to-Strong Generalization via Direct On-Policy Distillation KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-11T07:01:56.628017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation defd7e1c-7a86-4920-a21b-04d34c45bcf9 · inbound

SAF-OPD: Stable Advantage Fusion for On-Policy Distillation cites this paper.

SAF-OPD: Stable Advantage Fusion for On-Policy Distillation KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T11:42:23.970188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f2baf39-57d6-467d-a5f9-05b0373855a4 · inbound

Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance cites this paper.

Distill Where You Fail: Recovering Learning Signals of Negative RL-Groups from Adaptive Teacher Guidance KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T00:22:11.804686Z

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Unavailable: canonical work link unavailable.

Observation f8857167-3609-4823-94d3-4c04bdb123df · inbound

Agentic Reinforcement Learning with Self-Distilled Reward Shaping cites this paper.

Agentic Reinforcement Learning with Self-Distilled Reward Shaping KDRL: Post-Training Reasoning LLMs via Unified Knowledge Distillation and Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T23:15:50.891014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.