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Paper Citation Record · LEDGER

GFlowRL: Scaling Distribution-Matching RL to Large Language Models

As of 10 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 2026-08-10T06:31:04.303077+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=sha256:495e2934c6e4803deefadba73db74468be87aae78be8b75960b9b998ead66422

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=sha256:4567adc048ea858abeb9862fc385352d2b3276482b6799de6265bffb71898472

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:becd0f739a7b15ead0fbe6c5a862e28fc03fe1e6ad6a0c8a8199a5f05dc8c2b8

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=sha256:167f5f4f06a43257427087ef62bab268b4f5bebb5fff6f7f71a4514ec9202b87

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=sha256:7dfa169dcc1f57165b550ccf341adad26da0f6cc5f146c5f90de28f672139974

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:c2e8c4b8133e0e9c0a0d64b41cd7516787342dfe8d1a8b07ca930609745e4560

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:fd5fadca8e552bab3f5246a95a22411595008fc395841d1b0ade69382338cd24

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:f029754ab311c708d20423fae75e3c0bca1dfb9ef746022f68f29c1ee149e8c9

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=sha256:6509af2732bc0a5ed6b08290e997070d3679d6fa7b792afd07d14c3457bc2f51

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:f1664b0d176ef098f2360459937b9c9bd887b89b64bbd5a439fcc5f7f5b2caca

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:ecc82bc70189e5c2be70532c7429f5f87991e262436c2b7fd2ce6e25974e82ae

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:bb5acfb690da573b9db665d53b75e84538053b80e826dd64eb1c3f29722a577d

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=sha256:241a037729bf23341b60dfbf6078353c39d603ff0255b939a5110144443c31b0

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:f893f90587ee9660a25933056298636721399c0a1fe060dd03df4b1e6f039e91

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:f4a528c2882dbe87ead4cdf333fc87d0e8aa178d5ccbb0e559896e4911d4abcd

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:dbe9acd6bfb448fc8a825aafc4705ed94109878b0678cf4df6e282ba55d4f9c0

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=sha256:4f4c05cb185309fce54a8267e58fbf392199c6271838f900b2177af7ac037fb4

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:a8a106946dcbcafa5d4077b7eddd5fe867a54feffb71d6d8e08c353d470fd5b8

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=sha256:0a704aaa8127a50669df4ad459491be6890b2b857b802b57452a9adef591a4a8

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=sha256:79bd54a7b0e6f659110a8e2d27f86c63da087d2ee89fe5dc2b69aa7c82563ad3

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:e2fcef75bfe9a7d6766fa5926791d91dbe642af3139309af62df4cddd49a599b

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:d4fe28c27417d8bc6ce343d14d3d8ea8c0260f2eec52683141acbb514cff1857

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=sha256:75fea7e12aacb80ad8b6e7f1809c2fa3ab6962dda30b283ce71cd463271ffd62

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:d5b088327d7bd807d4fcbe81a5fb004498a6f3ad07f545dbbdd37b5f44c01362

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=sha256:2e6c1e1595d007406d6805f66aaa98803abea7361bdf55eea996a55d83904f2c

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=sha256:7a2c2a3d48ff0ca18a3d1fed38fc9b3b5bddaf9afac650cbb9d6abdb7d4bd6fe

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=sha256:540a91f23be9c4b3273333f90469167064e98597c794a9cfc4d07a6777e929d4

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:e7b71dd6cfdff62526d8f7592339e3800578db89c31337df2a21aff4ce759960

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:e516e8f33d214c88e76aab66a81ac2b0c2a3d034231c03a095506ff9f18ace07

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:e9414164b79855b48c3cf60def8344b9082a10e2920350505f4f081d619f9929

Pith citing papers

No inbound Pith citation observations are available.