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Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:35:19.054951Z digest=sha256:84ae2fc60ea1a025cc51e5afab7954b9fd2d62b699024e5083d27ccd16e9b758

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=sha256:4611ebec95a7decee540d3c1f904d0f5a343fc262988f5918c8856feeb096587

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=sha256:2b508d38cb83001766e29b6191ca14446cbbd1a1d015a24b6b5750058c9ed317

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=sha256:79ccc4aeb7c93c59a07ea3a75a0376ab4021990e792166326c103f70bb7b197b

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=sha256:4db681ee8f9e7d5f674e2efe833f4d7eb9fd2262f90159fce21029864ad76086

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:35:19.089748Z digest=sha256:704b7a95531f485cd12ed5e773a48f390305dc9b381677413e352fcc8f8eb223

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=sha256:99f25f9e6fb3ae90c09a0c7a84c79e919041adde986e202b97f6b8448d51d3d3

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=sha256:4b284648f1412a9652e8ccb4accbed664c08275b1aef78f80ad67325548c3634

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:35:19.105626Z digest=sha256:8f42f1e8d4de6560ab1bda274cce60152937e0ba2905f2485d867d094c763303

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:c958b4c5d6d0557b65c9177ba7a590f652f5e87f63ea1448e2db9efd41cd8294

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=sha256:6aecf109e85a29abdb2c5431397474531c52d2fa40975bd5cdebd012d848e5ff

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=sha256:941051723b2b73baa71e68c375355073fb125119b89c49ad7ec221f5e622bfc8

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=sha256:261568d5147773eb9658d6a584a31ed560845b6ebb16f92368edd300dc9e7bc2

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:b9b5badda3db3d154d6fe523864ab904091ce0feda7f9f4124b37bac0f54663a

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:ae0190367854ed0c30f59d572eb9edab9f6e21bc5f6dc968a0ef6cdd83fc281c

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=sha256:717f23ed9ef7df2950edcdcb4a48e2b65690601f729d7a0f41b256c853c90d8b

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=sha256:1fc88b7c53b8e7025543aae8a4af3dac4c71599e28b717f01bf985da15b75b00

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-16T00:35:19.148303Z digest=sha256:a04c526a3c68de9cd39eb70b24a8ea0ff7003bacd564943d93194d0996ba6712

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:e99198d3568096ecdb471a28031fa7d31ac8665233c25136398089ae21dd8238

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=sha256:8f61703620b9577f78527e02cdafdd2e46057ee66944eb5b379ba909701b9283

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:f01315a960dcd16fd08bcffe36947a50de486b3acae0b314a3bd394b1f4d259e

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=sha256:5459f19731d29c464de79424766ef07da20a8a734b2770443cb6d2dcc5b33315

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=sha256:9260c209fd975012ab62b557c33388d6461c30bef0c5b1cfea7adaa553581529

Pith citing papers

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