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Paper Citation Record · LEDGER

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 14 inbound Pith citation observations for arXiv:2506.17219.

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

pith.paper-citation-record.v1
2506.17219 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:27.149715Z

measured 58 of 58 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:47.889405Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:49:02.982506Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dfd4a66e-a357-4b88-a12e-b6346ec93a34 · outbound

This paper cites Agarwal, S.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Agarwal, S

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-06T23:35:28.904398Z

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=arxiv_source observed=2026-08-06T23:35:22.779816Z digest=sha256:8fde0604143fb3181a39b7f124ef08264c05153748a590b4669e61eee94e6f46

Observation 926b5f14-6525-4f7f-9785-37760aea34a6 · outbound

This paper cites Agarwal, Z.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Agarwal, Z

Reference 2

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raw_fallback, observed 2026-08-06T23:35:28.789696Z

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=arxiv_source observed=2026-08-06T23:35:22.846986Z digest=sha256:27a4cafe314175f395d1b8bdcaad3667691dd1ab96fde69771d68a7a9ba72d38

Observation f8e4d7f2-e6dc-4b2a-be7c-528477446a5e · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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no resolver link, observed 2026-08-06T23:35:22.932426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:22.932426Z digest=sha256:7723c872b421555d9e5164349d53d1071bf42a2299ba2b237429e1952380a8e5

Observation e16d01a8-ccf6-4941-a2b3-ab8c6000985f · outbound

This paper cites Balunović, J.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Balunović, J

Reference 4

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raw_fallback, observed 2026-08-06T23:35:28.610515Z

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=arxiv_source observed=2026-08-06T23:35:23.008938Z digest=sha256:6c03f93466c393c3c486032cfde0f5347bfbf69fcf38541bbf95d835c357a0fd

Observation cfbe4d4c-bfc8-488e-a31a-12c7f52c6c82 · outbound

This paper cites an unresolved cited work.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Unresolved cited work

Reference 5

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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=arxiv_source observed=2026-08-06T23:35:23.105094Z digest=sha256:b28fe5392c1d57768dce62a9bf1c30e4eb11d15e62c538f5209084a2d78beee4

Observation 50404a3b-569f-4601-8971-c42fbf504402 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Training Verifiers to Solve Math Word Problems

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:23.230151Z digest=sha256:f7771900aebac9a623ac8fda6deb35d9cbb80b6f9bbc961da77985287b56e83a

Observation 6614c350-9651-4508-8e8c-e2f073e6c23d · outbound

This paper cites The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:23.326805Z digest=sha256:c5635d42cccb97d231bbc090fd9758827db73e783da44c0f60365483b4243d96

Observation 4c754fc7-8981-4231-aa49-bfa42e2afe9a · outbound

This paper cites One-shot Entropy Minimization.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning One-shot Entropy Minimization

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:23.466690Z digest=sha256:5b10b7c611e524f7d51f98431cd58fd375a6f1934d0ec07ae5303299b867ca4f

Observation 75df10c3-956d-4229-9976-9a275710b2cc · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:23.553945Z digest=sha256:9ee23b80daca4b61803d33792b8082afe298b5af4d6a1f6a2542855d880836e7

Observation b1b215df-0ed7-4d1c-aaa1-5094f7cc55bc · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:23.814130Z digest=sha256:d8231eedf95acdd3c665e2ef62ebc61a1a10b10e70851f08d5f0ffa41bb30320

Observation a980ae08-ece3-4ac1-b7a1-efbb67bcd784 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 12

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source=arxiv_source observed=2026-08-06T23:35:23.944097Z digest=sha256:6ecb8c2642cda108257be9fdb3f1801436af50996f230096b91f01f0792dd637

Observation 27c4927d-50d6-4850-b166-6cbde3e4869d · outbound

This paper cites AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning AM-Thinking-v1: Advancing the Frontier of Reasoning at 32B Scale

Reference 13

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source=arxiv_source observed=2026-08-06T23:35:24.061468Z digest=sha256:ee19cca46e1dbdc7a1035091e497be70953072429865c3d8e1a7c928f33f8723

Observation 05893edd-2dce-4562-9d29-ab19d8dc1d05 · outbound

This paper cites an unresolved cited work.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Unresolved cited work

Reference 14

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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=arxiv_source observed=2026-08-06T23:35:24.177911Z digest=sha256:77b43a92c0b6761d823b54531c6f0b6fe459cc145b7a84128cb6e80d91936f31

Observation a7b0ad1c-dfe7-4e4a-adae-ca65f8b91856 · outbound

This paper cites Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:24.315457Z digest=sha256:fa5f7c734ecab27ddcc32d40b3c64320c8558b6b6139a06dfabc625319246f7a

Observation 0ca78c30-ebc9-4430-9860-f99091beae3d · outbound

This paper cites Lightman, V.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Lightman, V

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T23:35:28.006007Z

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=arxiv_source observed=2026-08-06T23:35:24.459372Z digest=sha256:49bc663a1aea9cebabd553e92364c8d791974b28ec91235734ce85f0ab70c042

Observation ed05b42c-bfbc-49c5-bc6e-4eebdd2cc916 · outbound

This paper cites DeepSeek-V3 Technical Report.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning DeepSeek-V3 Technical Report

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:24.573513Z digest=sha256:fb2993b1d697a91a27d63a519a4ab5c720119dd302cb770c08010519180dca64

Observation c94fc518-c1c3-4364-abb8-6dc70395d769 · outbound

This paper cites Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Self-Reflection Makes Large Language Models Safer, Less Biased, and Ideologically Neutral

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:24.724746Z digest=sha256:9e134316830d80770986040f2fd0a34f5f579040ec027091c9e1715f26482078

Observation f0253faf-9e29-44f2-85d1-a91013852723 · outbound

This paper cites an unresolved cited work.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-06T23:35:24.857491Z digest=sha256:d38fff943ac7a89e41ed639e9cafa6e7865b4a8be3ebe82fb30284ce68a14e48

Observation 30db9513-16ac-4cdd-8966-76cd4157e181 · outbound

This paper cites Learning to reason with llms.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Learning to reason with llms

Reference 20

Resolution
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raw_fallback, observed 2026-08-06T23:35:27.863858Z

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=arxiv_source observed=2026-08-06T23:35:24.977274Z digest=sha256:b18a6d501930c4f4c776196027b72bb88d7c7e6b3c58a5f4dea91d4e5be54b41

Observation 4447a8c4-0263-42a2-a4c4-cadde5a67f21 · outbound

This paper cites Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Proof or Bluff? Evaluating LLMs on 2025 USA Math Olympiad

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.107443Z digest=sha256:5a9903c26c92e17f4cdd09e2fb4ebbf9087f416e47bc30eb0b6c71a0442b62cc

Observation 19899ab7-647d-4c13-a644-a14f963266dd · outbound

This paper cites Proximal Policy Optimization Algorithms.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Proximal Policy Optimization Algorithms

Reference 22

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source=arxiv_source observed=2026-08-06T23:35:25.223026Z digest=sha256:fdebb37334a685df5392ac395fceeb9ced89edf42d002686d4a3b4bb29817b05

Observation f267deac-333a-4d76-ab52-c96df614623d · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

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no resolver link, observed 2026-08-06T23:35:25.347321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.347321Z digest=sha256:f9f6b6b073cb0b040936b3b417f051c12700817666fd6b487ab8ff46daa41a47

Observation 60b13ce0-a760-45f6-8f41-30fb582936b4 · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning HybridFlow: A Flexible and Efficient RLHF Framework

Reference 24

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source=arxiv_source observed=2026-08-06T23:35:25.422154Z digest=sha256:9ede8d988f69f2cd10514d44dfd28082446841a8b114a9945a5f73f4d6451463

Observation a7a3c7f6-e97c-4c6d-9cbd-0016472e1504 · outbound

This paper cites The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity

Reference 25

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no resolver link, observed 2026-08-06T23:35:25.513100Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.513100Z digest=sha256:67943891f4ee311dca9eefd10bf8764242d19de2a214f7f2339c5a8943d6efde

Observation 1598053d-27c7-4ab3-96c9-bca81f96e6fc · outbound

This paper cites Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning

Reference 26

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no resolver link, observed 2026-08-06T23:35:25.577573Z

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source=arxiv_source observed=2026-08-06T23:35:25.577573Z digest=sha256:606e514f2ff5e5c44e03971696b55a35f43433ad3c68c413a9e585fb9d9b1048

Observation 2b968bd5-19e6-4957-b0c1-aa930627ec87 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 27

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no resolver link, observed 2026-08-06T23:35:25.657955Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.657955Z digest=sha256:3c09a6a5f0c872c3c101bea1de6e31db02e2856c3847bf7ae25ce446ca569ecc

Observation 5b8000a2-3eef-4215-8443-6c85f6547315 · outbound

This paper cites an unresolved cited work.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-06T23:35:25.760986Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.760986Z digest=sha256:992c410205ff521699c2f0342e66e2cba3e88a3f10bc4c15db36e306640e066b

Observation b6312f44-007a-44c5-b259-63c11071d68b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning LLaMA: Open and Efficient Foundation Language Models

Reference 29

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no resolver link, observed 2026-08-06T23:35:25.844463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.844463Z digest=sha256:9622876c93e6f8d378a9a179f4956087cf5306ded98e65dd45ad0293c69a4116

Observation 6aab5aa5-f816-4f7f-a513-c48bca8135aa · outbound

This paper cites Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning

Reference 30

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no resolver link, observed 2026-08-06T23:35:25.905691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.905691Z digest=sha256:8b57b985a343d8b90aa5d84aaf85df05dea435cfc89b0f9c4201974dd3192ddc

Observation 139c3792-1314-42b8-8e2e-79b50d00ab57 · outbound

This paper cites an unresolved cited work.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-06T23:35:25.968025Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.968025Z digest=sha256:5f80464cfac0467b742d497d0d4aec8e502566c3fec6432e8882bf6c5baa8547

Observation 9ff0c164-70cc-429d-9d13-dd5503f55605 · outbound

This paper cites Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models

Reference 32

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no resolver link, observed 2026-08-06T23:35:26.060516Z

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source=arxiv_source observed=2026-08-06T23:35:26.060516Z digest=sha256:e90afa8daebbcdf4e897b717b8857ff3a6f4a727d6e2b8be1bb0da6b34034fd7

Observation b65b78f8-554e-445d-926c-e8492dce2f6b · outbound

This paper cites Qwen2.5 Technical Report.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Qwen2.5 Technical Report

Reference 33

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no resolver link, observed 2026-08-06T23:35:26.126199Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.126199Z digest=sha256:712c58288998acc2d9dcaf50c2efaa823de53ac4fd91f35611aa7265140b2003

Observation cb89ba1d-4170-464e-bf8f-329194e24067 · outbound

This paper cites Qwen3 Technical Report.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Qwen3 Technical Report

Reference 34

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no resolver link, observed 2026-08-06T23:35:26.199324Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.199324Z digest=sha256:07d90a9e9b4015cd4215a6f9fe2fcaf042d4f658ef440b0f8404d0de5360d94c

Observation 757d5ee4-ed98-4d43-938c-8a2dcd9f9f35 · outbound

This paper cites Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.261491Z digest=sha256:d6e6b2ef33573fd2e50b27ca54d29ddbdbf72090be8f19360d6b584fb3f6edef

Observation bbef77fb-62a0-4faf-b2c8-2b08f1c9c8dd · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 36

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no resolver link, observed 2026-08-06T23:35:26.340667Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.340667Z digest=sha256:e76633f216eef147b64448f8432ab00c2a2d8114cc30b55412f7ab11b279a05e

Observation 8f154043-c19f-4642-9927-04ee83a6481d · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 37

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no resolver link, observed 2026-08-06T23:35:26.431585Z

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source=arxiv_source observed=2026-08-06T23:35:26.431585Z digest=sha256:891d6f3b2a36adabfe01d022ad5f989f14096148726c3a02fe1a0ee7d4f30d19

Observation 97bae04e-4157-4166-85dd-bbe2f8c258f4 · outbound

This paper cites VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.517415Z digest=sha256:4b345e7e20059b9a644a4297b3ff67ddbf4655111c5e671c4033ad168896903e

Observation 3270981c-bc09-460b-9d43-a36dafd58e5a · outbound

This paper cites Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization

Reference 39

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no resolver link, observed 2026-08-06T23:35:26.644332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.644332Z digest=sha256:8a09ae20046f61a20df85988b4560b17817ca41816059e0d277315d566dae20d

Observation 58aa6f31-1d74-4a44-a9a7-cbe5f14acbcc · outbound

This paper cites Learning to Reason without External Rewards.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Learning to Reason without External Rewards

Reference 40

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no resolver link, observed 2026-08-06T23:35:26.771185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.771185Z digest=sha256:b00ee00016a098b79a8e5814f57eab357e9a566596ac822267feec754e7a8ad0

Observation c8243797-5ce4-49e5-bb40-31d0b449f2e0 · outbound

This paper cites Learning to Reason without External Rewards.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Learning to Reason without External Rewards

Reference 41

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no resolver link, observed 2026-08-06T23:35:26.859900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.859900Z digest=sha256:00c21dccb68690a4a79cd157ed56762d97a1a9b82b84ed3a7e0abf842a6b2168

Observation f5b7a70d-2c48-4245-b798-8a6f865638f8 · outbound

This paper cites TTRL: Test-Time Reinforcement Learning.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning TTRL: Test-Time Reinforcement Learning

Reference 42

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no resolver link, observed 2026-08-06T23:35:26.924597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.924597Z digest=sha256:721e1f0ceac5ba1f27c0f18083c78255e330de60d9eb1815160773c8bbdb1547

Observation f1244017-d90e-4068-a597-e1f1b03ddb7c · outbound

This paper cites @esa (Ref.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning @esa (Ref

Reference 43

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no resolver link, observed 2026-08-06T23:35:27.002363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:27.002363Z digest=sha256:3c7a71592917e79bdcfc56d952d91d42f45e4948cf64521e8634b66d262cc983

Observation e31cead1-e0c6-4f75-97de-6f1cd5759809 · outbound

This paper cites an unresolved cited work.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-06T23:35:27.044242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:27.044242Z digest=sha256:692ce61e47b43d8bb817e292288d254ee30215048fd5af0e5b581bdc6ea147c7

Observation cf265a47-e7a5-4bfc-b8ac-f31d8d4ded7d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 45

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no resolver link, observed 2026-08-06T23:35:27.149715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:27.149715Z digest=sha256:e639fdd0993e7992458f8886374b733bdbd4d6b01d2458045ef29ce49ac01b80

Pith citing papers

Observation c31aded5-24be-4437-bcd2-3240d11e67b6 · inbound

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning cites this paper.

Towards Agents That Know When They Don't Know: Uncertainty as a Control Signal for Structured Reasoning No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 64

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unresolved
no resolver link, observed 2026-08-05T11:39:47.889405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:47.889405Z digest=sha256:e4867d73b26ae869982efdbfcd791c80207d93fc6525a05a86606fb820c686af

Observation a355802a-b5ca-4911-8a28-4adf17f38350 · inbound

Self-Aligned Reward: Towards Effective and Efficient Reasoners cites this paper.

Self-Aligned Reward: Towards Effective and Efficient Reasoners No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 53

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verified exact
arxiv_id, observed 2026-05-18T18:31:44.441162Z

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=arxiv_source observed=2026-05-18T18:27:23.076544Z digest=sha256:c88abeee5c985bbbc261e8f3226a7909d59a277c4327bd0d7d349bc66e0128c5

Observation 7dbf4b0e-705b-45b0-8083-43c8ee33bce4 · 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 No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 245

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unresolved
no resolver link, observed 2026-08-04T16:07:47.645599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T16:07:47.645599Z digest=sha256:49ef32b29bc65929e6f8600035f8a3a6895f4ef949bafe42b3b58a7276922ef9

Observation 40c57f60-d892-462b-a512-4717ad7896b5 · inbound

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL cites this paper.

Breaking the Self-Confirming Loop: Diagnosing and Mitigating Systemic Reward Bias in Self-Rewarding RL No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 30

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unresolved
no resolver link, observed 2026-08-04T10:44:32.329818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:44:32.329818Z digest=sha256:9d5e4a7ea2402d2c42705f849169ace1b1095c47305d7a0f3c7ea8dd4fbf12a0

Observation 2848b1e9-59ce-4b6b-b311-091eed1c6631 · inbound

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction cites this paper.

VI-CuRL: Stabilizing Verifier-Independent RL Reasoning via Confidence-Guided Variance Reduction No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 37

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verified exact
arxiv_id, observed 2026-05-25T07:26:41.639859Z

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=2026-05-25T07:26:35.767179Z digest=sha256:a189a2865b25250b5ba57b86144400921effa2cd07124e565cc41f7049a0bf2c

Observation 0fb45e22-e0be-4aff-bd9a-39337a2a47f8 · inbound

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy cites this paper.

CoAct: Co-Active LLM Preference Learning with Human-AI Synergy No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:01:49.591729Z

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=2026-05-10T05:26:18.163720Z digest=sha256:a40b1764d692eb9549a8e9601edfb59920d16b25b14350626aedf2467514085e

Observation 52c9872f-c47e-458d-8c82-67b508e515b3 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.869754Z

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=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:96690236748b02b3774282dbc010d9368c75ab6360552865eda8e4fdef1fbb64

Observation 9672e61c-fb56-47ed-8f38-3c53997e1484 · inbound

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models cites this paper.

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 114

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verified exact
arxiv_id, observed 2026-05-11T04:00:55.150433Z

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=arxiv_source observed=2026-05-11T02:02:41.411795Z digest=sha256:caba03d0c93a4a2a75b9dc4c88b5f62ab1c63c3af603b2841c957dd95ee9c947

Observation eb793416-eb9a-43c6-a989-8f187363629e · inbound

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning cites this paper.

D$^2$Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 59

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metadata mismatch
arxiv_id, observed 2026-05-19T20:22:45.275081Z

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=arxiv_source observed=2026-05-19T20:21:48.657926Z digest=sha256:a31a5e2f53519fbfad6b73ad091501f9bddcdf4175918d3d875e377b1338a931

Observation 3b80e509-f985-4f97-8f1d-80f17f5e2a4d · inbound

Detecting and Mitigating the Correct-Answer Extinction Window in Test-Time Reinforcement Learning with Majority Voting cites this paper.

Detecting and Mitigating the Correct-Answer Extinction Window in Test-Time Reinforcement Learning with Majority Voting No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 23

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metadata mismatch
arxiv_id, observed 2026-05-20T07:23:06.906304Z

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=arxiv_source observed=2026-05-20T07:20:50.835826Z digest=sha256:02161dd834c9862e49b73f2d8100b4e9ce760409832be0a69a9acda63e9139b2

Observation a47f0fb5-0084-4b81-8874-201806c4e10a · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 83

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metadata mismatch
arxiv_id, observed 2026-07-01T20:56:13.695375Z

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=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:490f70d895f85602ac3dc41ec3567690854bfd67959c61668f8ea4eb9040eff2

Observation 48d91114-c729-4d3c-8c56-81760641e3dd · inbound

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling cites this paper.

GeoMin: Data-Efficient Semi-Supervised RLVR via Geometric Distribution Modeling No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:06:40.849490Z

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=arxiv_source observed=2026-06-28T07:45:43.320339Z digest=sha256:1490c939e9c3521ce1770c219c38249696b3c632cd3993be6ecbc44932b4ffe9

Observation bcbf05a3-fd56-4b0d-8577-c58130cfd916 · inbound

Continual Self-Improvement with Lightweight Experiential Latent Memories cites this paper.

Continual Self-Improvement with Lightweight Experiential Latent Memories No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:18:54.832730Z

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=2026-06-27T01:56:44.269388Z digest=sha256:ddcf935a8d4c31d06a32f859f9973781ec6ce00ebedcbf09718b3f4884016161

Observation 16f175c8-4cf7-42f1-9910-af1ac9887390 · inbound

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization cites this paper.

Be Your Own Teacher: Steering Protein Language Models via Unsupervised Reward Optimization No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:49:02.984144Z

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=2026-06-26T21:40:55.946788Z digest=sha256:9d9775500b491ace361b89c43dbc0108d4927a863dcd4bc2ce0e46eb7a2adaaa