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Paper Citation Record · LEDGER

GFlowRL: Scaling Distribution-Matching RL to Large Language Models

As of 23 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.13394.

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

pith.paper-citation-record.v1
2607.13394 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:24:42.497344Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved28
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d6f3680-3e5c-470d-9af0-bf593d25f70b · outbound

This paper cites GPT-4 Technical Report.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models GPT-4 Technical Report

Reference 1

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no resolver link, observed 2026-08-02T05:24:39.444119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:24:39.444119Z digest=sha256:ea83e14094b5b01bb74b6ef6e666ffe886e02a231245af0f3c8882c6c1b75e58

Observation 09bda145-8364-400c-8dae-c05824f623d3 · outbound

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

GFlowRL: Scaling Distribution-Matching RL to Large Language Models REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 4

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source=pdf_text observed=2026-08-02T05:24:39.741994Z digest=sha256:bee7208abefce08a0f4bd7d1ab80c31281142af2b145be96b966202560e45a45

Observation d6234c84-b311-44ce-a1d3-25fce00b8d4a · outbound

This paper cites Math-500.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Math-500

Reference 5

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source=pdf_text observed=2026-08-02T05:24:39.855367Z digest=sha256:9777d5ce094a180d4b33a60257dfe5302163756bd640fc253f6eafdb81459ed7

Observation f11b6bbf-9c2b-4c0d-895f-509e6c4e1a62 · outbound

This paper cites Koray Kavukcuoglu.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Koray Kavukcuoglu

Reference 6

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source=pdf_text observed=2026-08-02T05:24:39.977261Z digest=sha256:ff2ce76d4cb12ddbbbfe48374b679f9c6b78d0bf0e75e749b6b6d140bbfac559

Observation 84d4624a-1366-488b-ac85-4bed59af5db2 · outbound

This paper cites Google Blog (The Keyword), Published Mar.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Google Blog (The Keyword), Published Mar

Reference 7

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source=pdf_text observed=2026-08-02T05:24:40.089320Z digest=sha256:d85d31e4763553113e33c299506792ad1dbf07dd8803d8a7dac27fd71883268b

Observation 20eaae04-8e0e-4f32-9f81-f29f79dd12df · outbound

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

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 8

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no resolver link, observed 2026-08-02T05:24:40.196677Z

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source=pdf_text observed=2026-08-02T05:24:40.196677Z digest=sha256:4d41843315e7003c40fa47dfbd43d8558d21e66a28810791c019e0df8c311265

Observation 747c0175-b1e4-4a50-84d9-bab58b73a0f7 · outbound

This paper cites Automated red teaming with GOAT: the generative offensive agent tester.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Automated red teaming with GOAT: the generative offensive agent tester

Reference 11

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source=pdf_text observed=2026-08-02T05:24:40.530060Z digest=sha256:4335241a2c850f1ec6217fb2f271d56d048de09fc1fa226d2d1776550533702c

Observation 7be93ed7-4b0f-418a-8cc1-7b1870716990 · outbound

This paper cites URLhttps://aclanthology.org/2025.acl-long.1207/.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models URLhttps://aclanthology.org/2025.acl-long.1207/

Reference 12

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source=pdf_text observed=2026-08-02T05:24:40.649964Z digest=sha256:fae1149f74ce7fb5a42a8549ba1ed2c276291fb9b8c84b8c76a954eaffde162b

Observation a98ca699-588d-44d1-ad79-633d354424bc · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-02T05:24:42.338679Z digest=sha256:a472a31e77bfe5f4ec911eaa6cd87355e3a18c0c3bdb28b98abc122d26d75493

Observation 4835cb8e-85be-4697-8690-edcbd1804f92 · outbound

This paper cites Proximal Policy Optimization Algorithms.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Proximal Policy Optimization Algorithms

Reference 14

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source=pdf_text observed=2026-08-02T05:24:40.840639Z digest=sha256:f8f1aced9b580562f1e51829594c4eb47913ed659a8342e29c4f2eaaf9ff898a

Observation 29a35d9c-fe98-4f92-badb-ae9877e14a02 · outbound

This paper cites Thinking Machines.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Thinking Machines

Reference 16

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source=pdf_text observed=2026-08-02T05:24:41.051021Z digest=sha256:8f6e78ecae86e58288f80a5414ae8ce3557c31cdf8809eb403b4fe52d3c5c32b

Observation 29aa715b-412f-49ff-9a10-d443af03ba91 · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-02T05:24:41.178786Z digest=sha256:e59556c7dca789bac06ede54a0dcbd74884af74ae36b559868e062a56fdcec7e

Observation 7c8da983-a4d5-45f8-8fee-5359128b59b8 · outbound

This paper cites Ronald J Williams.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Ronald J Williams

Reference 19

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source=pdf_text observed=2026-08-02T05:24:41.394139Z digest=sha256:f61e2ec61cb239d61d553bcda8081a2b47c961059fee53e5ed0379d96bca323c

Observation b3477253-a8f4-4e34-97aa-2497a0165567 · outbound

This paper cites 13 Hao Yang, Lizhen Qu, Ehsan Shareghi, and Gholamreza Haffari.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models 13 Hao Yang, Lizhen Qu, Ehsan Shareghi, and Gholamreza Haffari

Reference 20

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source=pdf_text observed=2026-08-02T05:24:41.495196Z digest=sha256:ed5189ff20f79332e7bd545aad76adf26813263bbb0cd0d84cc13798a881ba3d

Observation 90972f8d-0c6d-478a-98bf-3ccd5b00cd8b · outbound

This paper cites Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, and Lianhui Qin.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Fangxu Yu, Lai Jiang, Haoqiang Kang, Shibo Hao, and Lianhui Qin

Reference 22

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source=pdf_text observed=2026-08-02T05:24:41.710173Z digest=sha256:17c2a35a26e6da12a0143c1330d638eed062c50916b330381c2691d8ebc7ff4f

Observation 40822b29-3d72-466a-a80e-1eb00c399aaf · outbound

This paper cites mlr.press/v162/zhang22v.html.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models mlr.press/v162/zhang22v.html

Reference 23

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source=pdf_text observed=2026-08-02T05:24:41.782838Z digest=sha256:4bf9a974eb354afada48ea6d33ad11c3eee64d4990ee495b76c92876d9c5a0bc

Observation 5c590e9b-8a19-4ef0-8c9c-cd627ec1dd74 · outbound

This paper cites American invitational mathematics examination (aime) 2025,.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models American invitational mathematics examination (aime) 2025,

Reference 25

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source=pdf_text observed=2026-08-02T05:24:42.013952Z digest=sha256:fa84409db34f387fc2302d5f6cd707b4bc4f239d4df9be1f42b9989b0c057541

Observation 870220ea-02ab-4dae-90da-52444fe08526 · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-02T05:24:42.069181Z

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source=pdf_text observed=2026-08-02T05:24:42.069181Z digest=sha256:e7352398e3ba034c5b7b668379692196813e246b3b9f5e17021f7c8d20167c7f

Observation 907cb6d2-9d4f-4cfb-8463-c2339bebe50a · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-02T05:24:42.176929Z digest=sha256:658e788f8778e48211c9cc36ab401b34eaac79b0e88ed44987e32d43c9add606

Observation 5d55d50d-25a9-488a-a2b9-4dde638fcd05 · outbound

This paper cites Instruct.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Instruct

Reference 29

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source=pdf_text observed=2026-08-02T05:24:42.423441Z digest=sha256:70ef3e4619a968f8a0e070c34b96d9e8732ca73ca42cb09718552c2f121aabe6

Observation 441f5286-057d-4081-9d83-3afa3836ebdc · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-02T05:24:42.497344Z digest=sha256:495307cdaaf2672fc5ece252660104ab5313eb0da34ad5688ecd5b334b2296f3

Observation 77d14e7c-18df-4b12-a7eb-6e6daf1965b4 · outbound

This paper cites Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM

Reference 1459

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source=pdf_text observed=2026-08-02T05:24:41.591181Z digest=sha256:995ef22b84340984fd7824d9c54a4ac896e30878cb669b1331bbae973e7847c7

Observation 4f918e3a-0fb8-4385-9b43-d005e3b44993 · outbound

This paper cites Foot-in-the-door: A multi-turn jailbreak for LLMs.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Foot-in-the-door: A multi-turn jailbreak for LLMs

Reference 2001

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source=pdf_text observed=2026-08-02T05:24:41.284645Z digest=sha256:dc6be9bae2a5cb9a9e194e0aeef85b0155b41dd966b7d6a88579a9c3e1abaf68

Observation 51c6601a-5be0-41ee-a50f-4efe2888e2e2 · outbound

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

GFlowRL: Scaling Distribution-Matching RL to Large Language Models DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2017

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source=pdf_text observed=2026-08-02T05:24:40.963779Z digest=sha256:58582096e00edeaac15d85847dab17401f3e5fe2a57257a137f83d23926de7ca

Observation 8b6e0291-b505-4811-a84f-2dbbc3c68745 · outbound

This paper cites 12 Mark Russinovich, Ahmed Salem, and Ronen Eldan.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models 12 Mark Russinovich, Ahmed Salem, and Ronen Eldan

Reference 2020

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source=pdf_text observed=2026-08-02T05:24:40.728289Z digest=sha256:a41250f9a40c09ba77060e1f4aa28b8ec5273a36226e927caf23521f2a0b5db3

Observation deac1d91-c67e-4b33-82c7-3cec29cf7c81 · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 2021

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source=pdf_text observed=2026-08-02T05:24:40.414152Z digest=sha256:866590f3802bcb39dab5f2e6828ada33d1a3c0a5d04dcd78910d9d8f4bd612f4

Observation b53b23b7-ed94-4f17-8ddd-e3a51e7421f1 · outbound

This paper cites an unresolved cited work.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Unresolved cited work

Reference 2022

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source=pdf_text observed=2026-08-02T05:24:40.261844Z digest=sha256:03a548925abbafae95ed3d3358794327af29d07b61f88b9e658dfee7f77e3f5c

Observation 3e91c337-8c47-4d2d-8925-066acb421d69 · outbound

This paper cites Yifan Zhang and Team Math-AI.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Yifan Zhang and Team Math-AI

Reference 2023

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source=pdf_text observed=2026-08-02T05:24:41.894166Z digest=sha256:de3a446e33ba4f677dbdcdbd43ec18a6069d7543ca611434e2ecc9df47147276

Observation ccfe4430-cc55-48eb-80c4-44c253905842 · outbound

This paper cites The Llama 3 Herd of Models.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models The Llama 3 Herd of Models

Reference 2024

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source=pdf_text observed=2026-08-02T05:24:39.605618Z digest=sha256:1056b896b15d628cd725394e78e696888f164c2411420970c2045a4fdd330c00

Observation 8b9ddb74-1cfa-44aa-b2fe-a09f611fa056 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

GFlowRL: Scaling Distribution-Matching RL to Large Language Models Evaluating Large Language Models Trained on Code

Reference 2025

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source=pdf_text observed=2026-08-02T05:24:39.555233Z digest=sha256:21d3143bc8c524dd76f3f8a068d8a38ec57fdc5a82205ebfcf4bfe76c32c373b

Pith citing papers

No inbound Pith citation observations are available.