Paper Citation Record · LEDGER

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models

As of 15 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2608.06243.

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

pith.paper-citation-record.v1
2608.06243 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:38:13.296565Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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unresolved48
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Outbound references

Observation f4219dd4-1dc8-48ae-a32d-8e59cf97dc34 · outbound

This paper cites an unresolved cited work.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Unresolved cited work

Reference 1

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Observation 726d5435-1ecd-4f66-8769-a2242d3f5264 · outbound

This paper cites 2025 , doi =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2025 , doi =

Reference 2

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Observation eda955a7-ecd4-4746-9535-02c278dd2022 · outbound

This paper cites International Conference on Learning Representations , year =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models International Conference on Learning Representations , year =

Reference 3

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Observation 35218719-cf3c-48af-84a0-7bf1d25e9e91 · outbound

This paper cites 2025 , eprint =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2025 , eprint =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:38:13.119605Z

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Observation 77be2d5b-91d3-4f50-af29-38a046dded11 · outbound

This paper cites an unresolved cited work.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Unresolved cited work

Reference 5

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Observation 4aa4d116-78de-46fd-8b3b-50f1884c3425 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:38:13.126568Z

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Observation a3d96e27-24ea-4989-a382-7cebde7f76b4 · outbound

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

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 7

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Observation 3496a0ea-259d-4abf-8081-293c11409170 · outbound

This paper cites Entropy-Aware On-Policy Distillation of Language Models.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Entropy-Aware On-Policy Distillation of Language Models

Reference 8

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Observation 658e2172-3811-4392-90c3-fc95df007c96 · outbound

This paper cites When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models When Are Teacher Tokens Reliable? Position-Weighted On-Policy Self-Distillation for Reasoning

Reference 9

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Observation b1d36558-4772-43ab-a2c1-95bc733479a7 · outbound

This paper cites On the Position Bias of On-Policy Distillation.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models On the Position Bias of On-Policy Distillation

Reference 10

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Observation 65004d52-a603-482a-8250-49eb9f656b22 · outbound

This paper cites Your Teacher Can't Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Your Teacher Can't Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation

Reference 11

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Observation b8f8facd-2fb7-4aa1-9442-792adc2bb604 · outbound

This paper cites 2025 , eprint =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2025 , eprint =

Reference 12

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Observation 1486c8b0-c60f-423b-b72d-96011c922606 · outbound

This paper cites 2025 , eprint =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2025 , eprint =

Reference 13

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Observation 707e60fc-85eb-40d6-8cf2-3be294fd1c8c · outbound

This paper cites 2026 , eprint =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2026 , eprint =

Reference 14

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Observation 18d30972-ef0d-46dc-986c-1014289d4d7f · outbound

This paper cites Purified.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Purified

Reference 15

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This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle =

Reference 16

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This paper cites 2026 , eprint =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2026 , eprint =

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Observation a463fb26-6db5-4f4b-8b61-2a110149adc1 · outbound

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Unresolved cited work

Reference 18

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Observation d8e611ed-ac46-4b1d-a7b4-d2322e8cd760 · outbound

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Unresolved cited work

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Observation 1673e8b1-bf0e-469c-9678-1629ef476dbe · outbound

This paper cites and Liu, Alisa and Dziri, Nouha and Lyu, Shane and Gu, Yuling and Malik, Saumya and Graf, Victoria and Hwang, Jena D.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models and Liu, Alisa and Dziri, Nouha and Lyu, Shane and Gu, Yuling and Malik, Saumya and Graf, Victoria and Hwang, Jena D

Reference 20

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2025 , eprint =

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Observation c0d0ca39-527d-4c4f-b579-af30d59a96cf · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Does Reinforcement Learning Really Incentivize Reasoning Capacity in

Reference 22

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Proximal Policy Optimization Algorithms

Reference 23

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Advances in Neural Information Processing Systems , year =

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This paper cites Advances in Neural Information Processing Systems , year =.

DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Advances in Neural Information Processing Systems , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Training Verifiers to Solve Math Word Problems

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Measuring Mathematical Problem Solving with the

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Evaluating Large Language Models Trained on Code

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Advances in Neural Information Processing Systems , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models , booktitle =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Solving math word problems with process- and outcome-based feedback

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Unresolved cited work

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Rewarding Progress: Scaling Automated Process Verifiers for

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models 2024 , eprint =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Machine Learning , volume =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models International Conference on Learning Representations , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Machine Learning , volume =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Advances in Neural Information Processing Systems , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Distilling the Knowledge in a Neural Network

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Proceedings of the Conference on Empirical Methods in Natural Language Processing , year =

Reference 40

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Observation 65642262-2d28-4179-b206-d993d7c2a956 · outbound

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Unresolved cited work

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Proceedings of the International Conference on Artificial Intelligence and Statistics , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Advances in Neural Information Processing Systems , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Neural Networks , volume =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models International Conference on Learning Representations , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Robotics: Science and Systems , year =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Advances in Neural Information Processing Systems , year =

Reference 47

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Neural Computation , volume =

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models Learning Phrase Representations Using

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DASH: Divergence-Adaptive Supervision Horizons for On-Policy Self-Distillation of Reasoning Models AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals

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Pith citing papers

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