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Paper Citation Record · LEDGER

No Free Lunch: Rethinking Internal Feedback for LLM Reasoning

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:22.779816Z digest=sha256:032834b770f0d9e340600647331179df71ee8c541f30c1258b51d5807bb04d75

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:22.846986Z digest=sha256:5403a03b0a5c3364b3cf25ecb00f4255a508d0057015b18055236964d003189b

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:e46b4b629df735f9febade879883297e963a65f23c34a6d98b1b139ec7bc9e90

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:23.008938Z digest=sha256:95bcdd0eaf68d6ad3d3f6e7661ed376a07648b36c5a7647dce17f72b27bf9225

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:23.105094Z digest=sha256:6f6b6bec16c1a04b449c7f6430553d836c94de6d78c27b345c86e083bfc5c64b

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=sha256:5f5aa558f2accc0bb0b46f7174660a15865180456dbfd4ac9d5e97cc1317c0cd

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:f56defeff9aeec2ac8b5ca6cf5a51617525d9fd88fde76c6c07cd415c1cf8f57

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:23.466690Z digest=sha256:22cf09e5e0d3b0d01c6d6cc5ac681809aceda5014980baf4afb6bfb686b3f370

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

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source=arxiv_source observed=2026-08-06T23:35:23.553945Z digest=sha256:5667e00c40b6875d36022a7421be47e0c3cb30f1fcd6f187b1336289d10a2ff4

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:a4aa57ccfbeeed0c27d6de4a655bb63f0d162174c1f54449253fbb5707e5278c

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=sha256:183d734bd7ef35cac9c1ab98db1082ae1537839702eae7832fdd2cdabbf28b40

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=sha256:77da1342d8a26493d50ec5edf2b440aea714efbc990077e7c1153fedf0fbac5a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:24.177911Z digest=sha256:5ad12b8476ea3c7744de4c85b5e7e11463269b97d0942336ca121702503b09ee

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=sha256:11d3e13c1a5f1042e1b3226e6738131c914bf35286e9ec704086b7b25193cb5a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:24.459372Z digest=sha256:49b9e9163d4eb3bc872a5f26c816f84e0c21cef18f8753f37d50432a15d8f1cc

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=sha256:57d4a20e08ee100903c82c6032464f695c10fe5caf84aaa8acc96f6ebb364f99

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:24.724746Z digest=sha256:1ccc0967a60c0ae6bbb3765cebb40656c7bf8bdd08af7ae08837120d195727ce

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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no resolver link, observed 2026-08-06T23:35:24.857491Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:24.857491Z digest=sha256:0546a6a800ff1cde05db360707ae090fd9529e6c5332b24048c0d83fe09eb304

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:35:24.977274Z digest=sha256:4792d19d977504c674b27dfd85c92440e92df079f133cf1554fafce678171a7d

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=sha256:71342ed7ecd739148ba75ae3191bb4e78d56e90242d3ff88d357d654dcf236bc

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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no resolver link, observed 2026-08-06T23:35:25.223026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.223026Z digest=sha256:29e18495c2c67cbef310f9ee261482334e60e27a9c438c2c13e784ba91048a82

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:e9d5158a45073999333b16537d371fd4b13abf45afcae8f0569c1f1814cf7339

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.422154Z digest=sha256:219f7d3d65be85fb97671ac8af3ea187d2e4557ba8932485be5b5203e6533d6e

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=sha256:813a9e25ec5c86ef5ed81f519900842c8ae69e5ddb1535cf48b86e6949f0b405

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.577573Z digest=sha256:ebb6d4d77c3e3cd617dd50bb32d04bdbfec71f7adf51bde1bc6075c047789906

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:e0da2a7507ed2cdac1008da221d8b667018121bb0cffada0379625cfaa7811ac

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=sha256:457edaf346a866047d4e42ffe151abad75a2e596e9121fdb631dc73d0d175644

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:aaabddfa3f3d327cb9efba5efdb6b819c0b4321ea53561ed704f4b6a523dc255

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:25.905691Z digest=sha256:4cbc81e768cdb44108c24ed457b2da6c9ae47d1203ec31da900addf0de24e8b1

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:f4150bd5529fa1d1620f1f7a769596bb31b75f2a231654fb3a4421661dc24b4e

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.060516Z digest=sha256:9e9b2ba42835c8d0f7fb7f8931e147c30056b4d3ab19bb3c15976740daa1098c

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=sha256:88fadf0136372a3a11f70253c75b409271abb75bccdb52082d95678c145ecf96

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=sha256:01644431410f7c93171468c7204c2c6ad0f852219c10eb04edd3c75cb0cd1e50

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:26.261491Z digest=sha256:534561d2df9de677835356c5674e32a1ed2cf059cc9b257a0a4b6495bb8807e2

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=sha256:20d1ca22839410db9cc80bb2b07e1a7be1aa98c006c37a98b01b3f7ca989d605

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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source=arxiv_source observed=2026-08-06T23:35:26.431585Z digest=sha256:eee30574b4dea2cbe7e81023bdc8ed3465fc4409365283405e7b32b7d5a573dc

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:a7eb9e5488840cfc9d415ed4ec96f1e66d049dcaff01b7b77bc93ffee479326a

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:a8b939ba46ff18180ce01dbc6650d950fd3403d23a6c9ef514c8bb55b3f260c2

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=sha256:962a48372fafd3eda34714b6200b84d1108af6a5813d189b84a966e780baaa32

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=sha256:00e61745f0dd75e6b2e086e6210d5bbec6007b3523be6351a44cf621c36e8ac6

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=sha256:101a57f359638c1a4c0f613f4656c9492b8afc09f59e1968e90b8bdb1186c50b

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:a1d18975423f915d65322d24bced5a346fa647a86e9ea21e93fc30bab0e25f76

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:ce04bf2665a09eca97200ec90dbc13ea6ce06ece5afa86d8b450e60e2443dc12

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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unresolved
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=sha256:1930b448bdc16e5542bc3f4b97c2eb9b9a7f24e6846e98ec3b2f1200b6ff0965

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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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:c5268bd2fdc39cde8a5deb75d55e34ab6ce4d506999c7fc593d31a3486e4c1de

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T18:27:23.076544Z digest=sha256:95393c8e6a92048b6a799a0be305911588edd4d9df122ed63db62caa4c3a000d

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=sha256:513b6d158ef0e02751018bb24d0d537efe15a7300fc3438d49168a3b20bd4325

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:de71e646d51042f7188359d8b25f0f64082fbb9ca7de5a50a05b9d18f48be542

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T07:26:35.767179Z digest=sha256:915d033c3111ed2f5413def5d72f928cbe428c7965483d966ccd7250d28e712e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T05:26:18.163720Z digest=sha256:8ae5d409e29568b84e5fb71faaae0c597209fad9dc6f1f7151babcbf89c9d5f3

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

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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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:bac512c33aa6c21df53ccea7c579a5fe1977643301630c36ec1e1fba47f54ce2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-11T02:02:41.411795Z digest=sha256:e943b04829df6c4aba5337e9cac85755863f3803c9367f1ebef926b3b6a483a6

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-19T20:21:48.657926Z digest=sha256:2421e8580cb644af46a0ffc3227c1610e7084017710d72b98aaf41753399d9bc

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-20T07:20:50.835826Z digest=sha256:7297be28e2bf5ab873a74e4165cb200aab94377ef63b290a1b2810d19b2a4ccb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T17:38:50.313305Z digest=sha256:98b57c5a2661e8f82c43ba9f300ee4f8b733bec16c2898a2e8e62806d05847cf

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T07:45:43.320339Z digest=sha256:fd59e475fc6a641fd4bc963ef8f90e435b1c7a378df600e67c63a173df2c1c76

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T01:56:44.269388Z digest=sha256:89383aaf350cff4f36649f10dcb22cbba47b4d5fa8dfdcc7bbbd9f247477f3d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T21:40:55.946788Z digest=sha256:906709eca3185b0e46cc69cc9eeb2471c9c753db3b7b0a5adba9d9df1f8361f8