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Paper Citation Record · LEDGER

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation

As of 16 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2608.11698.

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

pith.paper-citation-record.v1
2608.11698 v2

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:35:19.167249Z

measured 23 of 23 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 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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy3
  • unresolved17
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d2f49b6-af66-4f9a-bea5-9792c9e053c9 · outbound

This paper cites On-policy distillation of language mod- els: Learning from self-generated mistakes.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation On-policy distillation of language mod- els: Learning from self-generated mistakes

Reference 1

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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.

source=pdf_text observed=2026-08-16T00:35:19.054951Z digest=sha256:a2ce99fd6876752e54313edb265f2b0dd9f9a00917cfdcffc3f709b9a3916c8d

Observation 79e2b58e-3191-428c-a018-304fcebf1f0b · outbound

This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 2

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source=pdf_text observed=2026-08-16T00:35:19.060109Z digest=sha256:dacb77884e0fb3096af3be76c824d336b018cf5ceb17989ce8f1147fed159904

Observation ed9ec3eb-7a5c-4d04-bc22-7cb208b97a1b · outbound

This paper cites Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Learning beyond Teacher: Generalized On-Policy Distillation with Reward Extrapolation

Reference 4

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source=pdf_text observed=2026-08-16T00:35:19.075167Z digest=sha256:fc13f7a99453d29aa2d23dca3cf4ee1bf3a17afa0d1ea2f59dc0bb0d49a172ec

Observation 7f5e6aa7-4a84-4743-a369-f2480d7b71bb · outbound

This paper cites Distilling the Knowledge in a Neural Network.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Distilling the Knowledge in a Neural Network

Reference 5

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source=pdf_text observed=2026-08-16T00:35:19.080208Z digest=sha256:0b15865a85a69d612b49068839749525c1082a2426f552f6ea8a935b5edbbfc4

Observation b316f74c-d005-4fb4-8f7c-22dadafd967b · outbound

This paper cites an unresolved cited work.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-16T00:35:19.085157Z digest=sha256:c13ebc26c7a7a294be390717dabcd0ece3594a0c10c143b86c72372dd6cc5034

Observation 4949b4f3-3c69-414b-98c1-b74f08159cfe · outbound

This paper cites MiniLLM: Knowledge distillation of large language mod- els.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation MiniLLM: Knowledge distillation of large language mod- els

Reference 7

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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.

source=pdf_text observed=2026-08-16T00:35:19.089748Z digest=sha256:3b28add29c1c095070b141863d3764104c80b654db60858727150f4e3de9250f

Observation a8c7552d-97dc-4320-baa3-2eacadd96557 · outbound

This paper cites Model extrapolation expedites alignment.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Model extrapolation expedites alignment

Reference 8

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source=pdf_text observed=2026-08-16T00:35:19.094622Z digest=sha256:22539e6e09b4e05f40c7fa9455f8d27785a7311667b7f927f3bf3a0f23e5d18f

Observation 46898c64-f0ea-44ef-b5db-7c92ab01bc04 · outbound

This paper cites LLM-oriented token-adaptive knowledge distillation.Pro- ceedings of the AAAI Conference on Artificial Intelli- gence, 40(40):34070–34078, 2026.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation LLM-oriented token-adaptive knowledge distillation.Pro- ceedings of the AAAI Conference on Artificial Intelli- gence, 40(40):34070–34078, 2026

Reference 9

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source=pdf_text observed=2026-08-16T00:35:19.101059Z digest=sha256:1c83e03a2791f9992d47546946b92b8d71afa3a2285ab507889a3025889c32e3

Observation c23c527f-e31f-4cda-a179-1ae2fdd62788 · outbound

This paper cites ASKD: Reinforcement learning-style knowledge distillation with quality-adaptive skewness.Proceedings of the AAAI Conference on Ar- tificial Intelligence, 40(41):34781–34789, 2026.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation ASKD: Reinforcement learning-style knowledge distillation with quality-adaptive skewness.Proceedings of the AAAI Conference on Ar- tificial Intelligence, 40(41):34781–34789, 2026

Reference 10

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

source=pdf_text observed=2026-08-16T00:35:19.105626Z digest=sha256:298060fd35263419807c94bc4289ff184a570cbf3778c5370633b709592123b9

Observation 54419194-7d93-41c3-a444-1a01734cd859 · outbound

This paper cites Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Prune-OPD: Efficient and Reliable On-Policy Distillation for Long-Horizon Reasoning

Reference 11

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source=pdf_text observed=2026-08-16T00:35:19.110461Z digest=sha256:1b9047e169cfac85876e510766ccb2d5594ba6742880cd39113214a89f5f3069

Observation d5b56c85-1b64-442b-bb03-1b6f5daffe81 · outbound

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

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation SCOPE: Signal-Calibrated On-Policy Distillation Enhancement with Dual-Path Adaptive Weighting

Reference 12

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source=pdf_text observed=2026-08-16T00:35:19.115157Z digest=sha256:75b4cea4a491f75f68644193f3bdd9d3252eb117142da54231e300d7fed3b165

Observation 7ab18514-f7ae-4c58-b3cf-b0ca4203e93b · outbound

This paper cites SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation SG-OPD: Sign-Gated On-Policy Distillation via Sign-Consistency Gating and Phased Teacher Sampling

Reference 13

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source=pdf_text observed=2026-08-16T00:35:19.120078Z digest=sha256:eeb7e614f87a6567f649f198e0aa57c14906a2d8455a8042d872bca2a374976c

Observation 343ca932-becd-49a3-bfbd-a32217317fcd · outbound

This paper cites Reward-Gated On-Policy Distillation.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Reward-Gated On-Policy Distillation

Reference 14

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source=pdf_text observed=2026-08-16T00:35:19.124618Z digest=sha256:11750b431c113bab3fb417bd94f9e12e0f07f9d670b079429b52931696e7a735

Observation 60ab21a5-297c-438c-b8c9-98d94c2130db · outbound

This paper cites Proximal Policy Optimization Algorithms.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Proximal Policy Optimization Algorithms

Reference 15

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source=pdf_text observed=2026-08-16T00:35:19.129403Z digest=sha256:f2a74a64a23210130a6fddb6e9b5d94f666ab7cfe27e7560e66deb49d12238de

Observation 2cc351a7-de7f-42b0-8719-30b5195aac97 · outbound

This paper cites Qwen3 Technical Report.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Qwen3 Technical Report

Reference 16

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source=pdf_text observed=2026-08-16T00:35:19.134187Z digest=sha256:43a100da6e70693f47e74d6285db5ed6872d609c681eedcdf49414c9a7309b56

Observation d455d430-d7af-4006-9d85-f977df22ef75 · outbound

This paper cites DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning

Reference 17

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source=pdf_text observed=2026-08-16T00:35:19.138789Z digest=sha256:eb253d917d3729a34e9d4d03f6532f45d3a18318a732218680bac29273142f9d

Observation bd8c6ada-e011-45c3-ac60-530c11e2b87b · outbound

This paper cites Advancing LLM Reasoning Generalists with Preference Trees.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Advancing LLM Reasoning Generalists with Preference Trees

Reference 18

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source=pdf_text observed=2026-08-16T00:35:19.143448Z digest=sha256:0c9a86a6211a78fdd11adbea08441c48e3ce30f88fa7223c8883ee331be321ee

Observation 4df29590-f01d-4cb7-982a-e9b5594f2c56 · outbound

This paper cites Decoupled weight de- cay regularization.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Decoupled weight de- cay regularization

Reference 19

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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.

source=pdf_text observed=2026-08-16T00:35:19.148303Z digest=sha256:f31936a0d1ab721090e04942d10ef0d6ebef4788503b413db81325fce0aa3953

Observation 7b3b7e15-b9d8-4d91-a529-f2e623f53190 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Evaluating Large Language Models Trained on Code

Reference 20

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source=pdf_text observed=2026-08-16T00:35:19.152756Z digest=sha256:d5fcfe8207cae7ba229dabcbebf2be2496eb1aadf47891c07d5e9b8e54db483b

Observation 1ec700ea-8cb8-495b-8eb0-b14d17c86318 · outbound

This paper cites Program Synthesis with Large Language Models.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Program Synthesis with Large Language Models

Reference 21

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source=pdf_text observed=2026-08-16T00:35:19.157784Z digest=sha256:1e6075152b7569178680fa071124c7779341d6a1c063553c5997a63b24c21c71

Observation 0e08ed39-0c87-412e-9dba-2d8a1f67fe99 · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 22

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source=pdf_text observed=2026-08-16T00:35:19.162472Z digest=sha256:12ac8987bf21b8e3cc4a4dd5fd27fba94e09c177c48eea61ba8ca7d87b127699

Observation a93e8f58-8d3a-493b-a754-e4b59ae2cf4b · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 23

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source=pdf_text observed=2026-08-16T00:35:19.167249Z digest=sha256:a7784a95226d1e3a3ca42a3e4e65bc51cfa1250492bcc09f8473f4d002e9cc71

Observation ce6c5471-a501-4538-a6d5-e41177e99e63 · outbound

This paper cites TIP: Token Importance in On-Policy Distillation.

REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation TIP: Token Importance in On-Policy Distillation

Reference 2026

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source=pdf_text observed=2026-08-16T00:35:19.070631Z digest=sha256:f79c0b94c1a66ec83131bf5a93a98f339a5d2dc1cb82b3a40cc1819331b594d3

Pith citing papers

No inbound Pith citation observations are available.