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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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

23 of 23 outbound references displayed

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  • 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:f0db325f545b5ff93944e9b5503b650f5e317a406916b8ef09ee84eb12608508

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=sha256:26192557ad0e09af0a19e551cd8909c5520ff09878d926d6e11f5d88c944a2b7

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=sha256:6b51c2416c294aefb3155e2da1fda9f0e73b053989208f4f93cf6e7d6781bfb0

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=sha256:00521654a02bf11d809a025f97ee539536674081f41434b970d26505920e7f55

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:f0b2189c83c6d8f207c7a759e617303907db4865a5705945bb4a36829e60eda1

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=sha256:81c553e1edf071fe579d13a4ef1b3880c7652765d9057a18e410c81485e5f2d1

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:d9d32cdcff73b1f5f189922385bde4feee1ef05b113be8e0e90104eba8860a3b

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=sha256:27fe73fd64f715d27445559520c66526bce0e8aeeb02c05a66ec30fdb0ec8831

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-16T00:35:19.105626Z digest=sha256:947b59c2da411f53b47f72b83848e8ef51d4e7b83e23556d48c312dc734b41c0

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=sha256:6e826fbff2395d12951f0dd369993c49eb1a192a4872c31d4265adeaf33fd252

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=sha256:5fd8294946ea8c2bdf7e619213aeb0cd1e5a9cd6252eaee314d77043d86b023a

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=sha256:7611d166205a1a085d51ba2b70b6b25fcf1c3e8710fe5f1d0f640373c7c6d661

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:eeb67ce9afcc7461a50c9f09b2eebc06f8335356b792fb872c1b514995f9960d

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=sha256:27d83ed127b8dafdc104c36f09f3a34b19c0318237a1f2ecf150bd553b69564f

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:d51a73e83ca740825ff4f2a42855d5cf6bdc7082307f4bb38978803364e5bbd5

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:e31b5b35ccaf03bfed0756b2ee7b85b7659f12c8f44453ff8f5861fd3d5d02fa

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=sha256:1c4e77fee2b1224e01549e9768e9c8540cfcc2feaf2edf1f255a3c3ad0d7def7

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=sha256:996d0f5ac00425983e73ac81ee7cd7d80bd874f2e92531a7eb4f9536ef73839f

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=sha256:76d6275fba01db078e76eacb6dcca7ff0f287813000338588b85bf4653863f2e

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:bf6262636257495bfab6608cb3f60c9ae0f5978d447164dcbafb258fa95bc067

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=sha256:7cddf92e538194d048aa35b85ef599eb9cfccd1eeca1286e9ee83f02ac40350e

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:dce5d542878eb9a25215a80f8eb51f4d5427dfacc7cf3d79ee64030eace8b1ce

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:fb01cb31da7236b7fe5f7b74f186abbc5cfe1f3132a0eba68d681ba45060d903

Pith citing papers

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