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Paper Citation Record · LEDGER

GFlowRL: Scaling Distribution-Matching RL to Large Language Models

As of 7 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 2026-08-07T06:34:17.273281+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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source=pdf_text observed=2026-08-02T05:24:39.444119Z digest=sha256:12a9f74ba8500cf46702a766cbd3443f294784f896155d8f1bb775624e21409e

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:dc7334e560ad3ced72f7550e254fc7f3453b875f2d7aeaa36c1f0877b8f5854a

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=sha256:5b68767fb3b246f9266671ff0146da02e0b80b390ad1fafdae523482013ac7ee

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=sha256:38d85fed4a3c2c4e36fe095beab2ae71ad6cb82e419cffda572e48c7257ebf3e

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=sha256:320f5f412e59f3116e64fc7747011e59015b1f3f4292b564117eaba7500cf3d7

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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source=pdf_text observed=2026-08-02T05:24:40.196677Z digest=sha256:d79751cd20bd30ae75ad5d55a4459bc4eafe2f3626355d4f5da22663e78923dd

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=sha256:0856048bede27b6cd74699d6c55022bd63ffe11f35a1aa9ee8270eef6493dcc3

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:e6ded847bcd1213d0725d0d090253688df464c8b51e48b59439aadb3f6de7f79

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=sha256:7f65bf9e1c496e5bab2dd06bd70320361fda358aefd11e7575339903ee757076

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:ad19d7ed5aae7b6a4bbd582810dd2f920648b56863ac4081a9208c0056345c0f

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=sha256:42ec5d6a4c08ba4540f3389ad114b03012926ddf36963b50a245ed605409d842

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:e44b86d3dc94f2817017c60924fc98bc26dd1f7a85bf70779d6f3dbd09837dd4

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:a8a13c28bf99c8d55674f85ffc606721b47074e0e56d2dbe3c4a872a4b59b283

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=sha256:2e2dbb57953cda1501f623895c5934675589dc0833366b700aa755f35f941f6f

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=sha256:903092a7427eff3b95acddf71e0fbd26b43228a6fecac3ed16d1b16b218d030f

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=sha256:9d2d73df56d6296693d3a0c31ce175b804226fa64cda74679a14e7f1185311be

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=sha256:63fa1c59c0b0142478f44122ad8a55e88bc1fdc98315759c3541c442aa206be2

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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source=pdf_text observed=2026-08-02T05:24:42.069181Z digest=sha256:4409ea9ec18fb470f084a7fcda12c7756e485f9f1dff891cdd13c3e503eca2d2

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:c33be974f502453cd0b4d22a287fb5be02cbcbc64b0d9fe1040efdc9de511bb4

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:f3e63b8682e6fe8e203cc8197ab0592d3ccfe97ba25b1493dc2ce02f5b9f5f2a

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=sha256:026735e72f508469a034bad5ff63f9fc6ad21f97c9e9fedba799fc71d7e55348

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:b3909e760a5d5d1bdf9e2f2ef7414b63fc3c5695c302f438b52d07aa49b9e3a4

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=sha256:9195f451167ed9fb8881e6d337888c940aae32781d76305728bcba3a7e5c1994

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=sha256:4d3472cfe9771168af5d79b60b7abda5e7f460917c31276d67d0178e3fbc7513

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=sha256:019570efbf8c4b94ec14fb6c29c395c4d2cfa94e4003179d7e8c61171c78c6f1

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:ba412eaff804d01af208fa2a07842f75683e24a5db2cedcc6529400b839d1ef7

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=sha256:682611ace426e182f727da9482d2256e470b2c653dd195a8f525239fa30025dc

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:bcd97178f0e639c6e206f43ed14da422922cf203400622db0c739f6e2bce010f

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=sha256:8d3beb527b7da0046d1d55f641ed98aa9995b98c2e1136b0058e1ee48f2b0a39

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=sha256:677ef5d23584126ed116eb00f1005908f7b73a26529806dcc15d940721365f94

Pith citing papers

No inbound Pith citation observations are available.