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Paper Citation Record · LEDGER

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs

As of 20 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.11674.

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

pith.paper-citation-record.v1
2608.11674 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:51.491371Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

55 of 55 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab711a6c-8c5c-413f-ac67-41f8d7e3748e · outbound

This paper cites Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Communication, Simulation, and Intelligent Agents: Implications of Personal Intelligent Machines for Medical Education

Reference 1

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source=arxiv_source observed=2026-08-16T00:36:51.272787Z digest=sha256:50583ce5e04374ac7a4ac01dc04b05556ad298f5aa4ea8318776e8124e3acb3a

Observation 18d1d870-8a6b-4202-87ce-28d1ba8bf437 · outbound

This paper cites Classification Problem Solving.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Classification Problem Solving

Reference 2

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source=arxiv_source observed=2026-08-16T00:36:51.279105Z digest=sha256:11fba5dc016633dea7bf05905c5bd2be238c6a75a09f707d381d196d57668637

Observation d99042e4-0443-4817-bc5d-d2d13d7bfec7 · outbound

This paper cites , title =.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs , title =

Reference 3

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source=arxiv_source observed=2026-08-16T00:36:51.283633Z digest=sha256:8404cc14d9024ff40576d6cd34d7339107344e93e7b790160bca52a88084dd18

Observation 339c315c-42c1-4a1f-b019-9a9d2566f457 · outbound

This paper cites New Ways to Make Microcircuits Smaller---Duplicate Entry.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs New Ways to Make Microcircuits Smaller---Duplicate Entry

Reference 4

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source=arxiv_source observed=2026-08-16T00:36:51.288628Z digest=sha256:4791532f2a2203568a3be0206559cfe9736a7ba14985ecfa2b1f961eef8a8136

Observation d40e4f56-8c0a-40cb-b97f-d005a73aeaaf · outbound

This paper cites Clancey and Glenn Rennels , abstract =.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Clancey and Glenn Rennels , abstract =

Reference 5

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source=arxiv_source observed=2026-08-16T00:36:51.296164Z digest=sha256:c6bc442371384984c40a61a311c8870302a76c049c56df78013d003a4698fd1f

Observation 5b5e5e66-8359-46b3-b1d2-64c24164fc84 · outbound

This paper cites and Rennels, Glenn R.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs and Rennels, Glenn R

Reference 6

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source=arxiv_source observed=2026-08-16T00:36:51.300881Z digest=sha256:8d6960414a741c629fb6b370825fd16a6c77c6792fd7608c70f8c3dea3e2a665

Observation 570496d8-c72b-4283-8f85-0c7ea28aa79d · outbound

This paper cites Poligon: A System for Parallel Problem Solving.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Poligon: A System for Parallel Problem Solving

Reference 7

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source=arxiv_source observed=2026-08-16T00:36:51.304890Z digest=sha256:e48fa64e94acecd095604aeb69ca680931792e4f13a4033d7944db32dddc4c8d

Observation eb46f8a0-bc93-4255-bdf8-00232036b80d · outbound

This paper cites Transfer of Rule-Based Expertise through a Tutorial Dialogue.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Transfer of Rule-Based Expertise through a Tutorial Dialogue

Reference 8

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source=arxiv_source observed=2026-08-16T00:36:51.308640Z digest=sha256:6951ab363ef88cfdf055e6f6d23f86607f378c126bf1cb8e273c25f7ece58697

Observation 9b63362e-490e-4811-9827-b6a42ed35a97 · outbound

This paper cites The Engineering of Qualitative Models.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs The Engineering of Qualitative Models

Reference 9

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source=arxiv_source observed=2026-08-16T00:36:51.313931Z digest=sha256:176335d0e53152ed84ee1664e7a64d157ee217bd61a1127975500fe3783a0383

Observation ee85daf4-00de-4b89-8b86-de5f7ea93d47 · outbound

This paper cites 2023 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2023 , eprint=

Reference 10

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source=arxiv_source observed=2026-08-16T00:36:51.320711Z digest=sha256:2fa8ecbca1b86875ffa4c3efc19777d234bac3f05655edbcfa04d483aafa551d

Observation 8b829956-8266-4644-887f-e4cc44355d29 · outbound

This paper cites Pluto: The 'Other' Red Planet.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Pluto: The 'Other' Red Planet

Reference 11

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source=arxiv_source observed=2026-08-16T00:36:51.324982Z digest=sha256:3a8e364b1353727b97fecb55168b4f0a671f2e4bd6f2acccba52039b41d4510b

Observation 61deba26-227f-4b91-92a2-b10c74faf76d · outbound

This paper cites 2017 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2017 , eprint=

Reference 12

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source=arxiv_source observed=2026-08-16T00:36:51.329701Z digest=sha256:78428179b5ce0db5b8e17bc6272419ccd4c8aa1a05a143d9e40fe3118504d239

Observation 51049e04-e016-4f3a-8eaf-835557bab702 · outbound

This paper cites 2024 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2024 , eprint=

Reference 13

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source=arxiv_source observed=2026-08-16T00:36:51.333892Z digest=sha256:d56cfb55f89674d3ed93fc0cce7e50e38a948e87f597f36acaad90cb0620902f

Observation b16c051c-03ea-4f5c-9ec0-81916376ee7f · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.337750Z digest=sha256:12ca655badef00db593e4ba0cf3786df6457eff69d3ab4d87ce0aa640c8486f6

Observation f29982ff-a9a6-4305-b469-b59f4b6f0f5d · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.343482Z digest=sha256:8a69c690c06cc813d3c385a4bbb4e0ed189dbab47f18ed3db8d7f98930f28373

Observation 6e2d5b8f-7a42-442f-b38a-011999f86e40 · outbound

This paper cites M i L o RA : Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs M i L o RA : Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 16

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source=arxiv_source observed=2026-08-16T00:36:51.347355Z digest=sha256:bb58339b32574f02250e63132dd4cec9209cfbae4adf6a459fe1844dfe1e63f6

Observation c1226eff-4378-4e04-93e8-638718dda590 · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.351202Z digest=sha256:b4a3b85a2ee951869b48d6be142dfc6e1b927c6e561f8f732403e1704cc40991

Observation 49a05822-915c-4591-8154-2ea76785ec35 · outbound

This paper cites arXiv preprint arXiv:2509.24610 , year=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs arXiv preprint arXiv:2509.24610 , year=

Reference 18

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source=arxiv_source observed=2026-08-16T00:36:51.355215Z digest=sha256:9b50dcc8f63ed5106d1caf9c5e4b016af863a29ce5544ad35412ff2b3222980e

Observation ea6f814c-750a-403e-904b-a5b3d562812d · outbound

This paper cites , author=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs , author=

Reference 19

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source=arxiv_source observed=2026-08-16T00:36:51.358769Z digest=sha256:e7a0787bbb5f9d75f47892b09ef69b23965f0c5e760b371a481ac0d3dbff6a26

Observation ca2c1c00-566f-4528-b78e-9c7134b53f41 · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 20

Resolution
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raw_fallback, observed 2026-08-16T00:36:52.214046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.362363Z digest=sha256:ed3738cee834b1bdf0822e0eb4eb65ffcd0a9443b08fabf6261688ccac349e56

Observation 9dfc0324-6bd9-4151-b26f-17a7b3389a4e · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.365781Z digest=sha256:b2e28f1a41aea476b43240af17a38f9681ca8c287e1851dc1647ec8b012b932f

Observation d50668a0-557e-4b33-bb35-b9209c13cac8 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 22

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source=arxiv_source observed=2026-08-16T00:36:51.369494Z digest=sha256:3c0e0742fe78fd9efd4cb356a0dcfecf951c2a395e8a93b7dd47224706b7a953

Observation 308195a8-6da8-44a5-a48d-e7a0c3bb2249 · outbound

This paper cites A Survey of On-Policy Distillation for Large Language Models.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs A Survey of On-Policy Distillation for Large Language Models

Reference 23

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source=arxiv_source observed=2026-08-16T00:36:51.373404Z digest=sha256:a06c989e00add7092e93f7ede2f3197d060d0c1f2091fe6c0ebc46880b116368

Observation b39fcb51-8d73-4c56-9af8-437f78543063 · outbound

This paper cites International Conference on Machine Learning , pages=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs International Conference on Machine Learning , pages=

Reference 24

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source=arxiv_source observed=2026-08-16T00:36:51.377598Z digest=sha256:804f24c8556e32f2aa67f92d07f4bb4c14cfb20437186b0ce77d7703bbd771ec

Observation 93faf852-8b68-4038-953a-19d9bfbfae07 · outbound

This paper cites Advances in neural information processing systems , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Advances in neural information processing systems , volume=

Reference 25

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source=arxiv_source observed=2026-08-16T00:36:51.381153Z digest=sha256:1b5eec4315d0cf03bb38ba7296383ef18ea0c2ee751bb050398bc4031cb1c1f0

Observation 765199b8-a0a2-4ff7-afee-a4f03a3c7131 · outbound

This paper cites A Long Way to Go: Investigating Length Correlations in RLHF.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs A Long Way to Go: Investigating Length Correlations in RLHF

Reference 26

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source=arxiv_source observed=2026-08-16T00:36:51.384930Z digest=sha256:347d0faaf833662aa39877112af9909c01f6accdf535d2e2d4e12863c0891aba

Observation e2dcb380-01af-41f2-a919-2fa39f433397 · outbound

This paper cites Secrets of RLHF in Large Language Models Part I: PPO.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Secrets of RLHF in Large Language Models Part I: PPO

Reference 27

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source=arxiv_source observed=2026-08-16T00:36:51.388874Z digest=sha256:0a2dbd5e6b64ad41f64790842a33dae1e0b5e140c6102756d345ffae7d509c51

Observation 5990cffa-170e-4966-9806-bd90be494f08 · outbound

This paper cites International Conference on Learning Representations , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs International Conference on Learning Representations , volume=

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-16T00:36:52.178081Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.392186Z digest=sha256:c406eff6ae8766d2b42e14485ce7a37bbeb15e3a3239d7ea91ac7142c2647b6a

Observation a25e9a81-902c-4a7b-888a-8232de5f65c4 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-16T00:36:52.166559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.395950Z digest=sha256:3ddb1a47658cfffbd2fde1c2befbc80bdb0feff270590a80d40460a0dbcd0638

Observation 3062dde1-4e7b-46ef-a37b-8fd63a262afc · outbound

This paper cites G eo RA : Geometry-Aware Low-Rank Adaptation for RLVR.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs G eo RA : Geometry-Aware Low-Rank Adaptation for RLVR

Reference 30

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verified exact
doi, observed 2026-08-16T00:36:51.532502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.399387Z digest=sha256:a1102dff8eb6549db3d46587da877551b6d993e2ed824acc80b15477b20d2836

Observation 531a1ddd-2288-4b0c-a03b-296d9ed7c1f9 · outbound

This paper cites arXiv preprint arXiv:2507.20673 , year=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs arXiv preprint arXiv:2507.20673 , year=

Reference 31

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source=arxiv_source observed=2026-08-16T00:36:51.403055Z digest=sha256:7d08fddabac4c70b3c969b197236fd1964d4c09a02d20fc50e8ba1675afc2496

Observation f2a540e4-9c20-4870-b3a6-feb6850e1e24 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Advances in Neural Information Processing Systems , volume=

Reference 32

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no resolver link, observed 2026-08-16T00:36:51.406742Z

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source=arxiv_source observed=2026-08-16T00:36:51.406742Z digest=sha256:ce00327548ad9ac67933b08b6db330967be0b77433f0dda212923387cb40f0b1

Observation a09bb4ee-2e9e-4fae-8446-9d5fe8b157a8 · outbound

This paper cites Group Sequence Policy Optimization.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Group Sequence Policy Optimization

Reference 33

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no resolver link, observed 2026-08-16T00:36:51.410382Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.410382Z digest=sha256:510bf161ec26d2e895a32cec2e55a5a3e89443298f9ded9bf624e926f7af6d2c

Observation e92f807d-73da-4320-8cf9-3ef86f128e72 · outbound

This paper cites Qwen3 Technical Report.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Qwen3 Technical Report

Reference 34

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no resolver link, observed 2026-08-16T00:36:51.414446Z

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source=arxiv_source observed=2026-08-16T00:36:51.414446Z digest=sha256:5877e084ca5ea70265f3bb7282d0faa5234391ea24565430b2a706ee7430a1b1

Observation c39819ed-07fa-41e3-9878-188ec9b431fd · outbound

This paper cites 2024 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2024 , eprint=

Reference 35

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no resolver link, observed 2026-08-16T00:36:51.418569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.418569Z digest=sha256:993bfef9b815df66b7ad3ff37eecdc52935e9b4541b47f5d6c6a79db5adc2272

Observation d0533924-d7c4-4bb3-ba5c-ee6d261c1f35 · outbound

This paper cites ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

Reference 36

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source=arxiv_source observed=2026-08-16T00:36:51.422333Z digest=sha256:3e4c3b5ad5fb27e6df3eb2e4f2929b187247c99eabf45d9075c555d7d868f75a

Observation 367ef2d6-d673-4ba1-a3c4-0fd88c3d25d5 · outbound

This paper cites 2021 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2021 , eprint=

Reference 37

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no resolver link, observed 2026-08-16T00:36:51.425996Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.425996Z digest=sha256:afe7af6038b2c68e6c2bae835ecde711e7fcdac7d04b1fd81eddbabc91f29792

Observation 9d0fd12e-ed69-4932-990b-ae9e2f3561ff · outbound

This paper cites International Conference on Learning Representations , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs International Conference on Learning Representations , volume=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.429921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.429921Z digest=sha256:615dde5cc07eccb2a30ee7cb35c1ef64fa4426a72a8b445ff4aec8524b325e0b

Observation ba3b1262-7dbf-40f2-a973-d7260c53f60f · outbound

This paper cites Encyclopedia of measurement and statistics , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Encyclopedia of measurement and statistics , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:52.130342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.433493Z digest=sha256:5d5fef48c5ba2a8f153c9e4520c13333332d8c619af225ecad6c99d23b7d99dd

Observation 44e7d78b-b755-491f-af23-5e30c6ceca0d · outbound

This paper cites 2024 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2024 , eprint=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:52.118936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.437128Z digest=sha256:6915f908f25dde01056117e7cd6cb8a701ab730c14fa987b2ee2c36ace245d30

Observation c23f6a30-eedd-4591-87d4-82582ad4b143 · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.440623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.440623Z digest=sha256:61bd7b6dc9f471e07d5c5cfc61cdebcd6d71eb6ad8f6384c967dc1be30cfe30d

Observation 8aa7fa53-b9e2-4d03-99b1-d86e3fecd5ca · outbound

This paper cites 2026 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2026 , eprint=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:52.100271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.444539Z digest=sha256:711aef05e112bf8167349f79a6e236d3c1ef81ad2bdeaffc0749f0371d5297cf

Observation 5eff0e23-e5ff-4d84-9a35-9f4ed561c019 · outbound

This paper cites Is Your Code Generated by Chat.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Is Your Code Generated by Chat

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.447949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.447949Z digest=sha256:833ecd118d5207d4b2ca9902b04e4e9d7311d70c37998cd2904da97a8b3b3b95

Observation 9c85ddae-5f9f-4ccc-8abb-0f85b690ab6b · outbound

This paper cites 2024 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2024 , eprint=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.451733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.451733Z digest=sha256:1f8fcabf1c10febe909a7cfcf71eca54f212183396fe4c8a53931f36416b7d5b

Observation 71424a84-92ca-4c71-af55-dbd4d058c46a · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs KTO: Model Alignment as Prospect Theoretic Optimization

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.455203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.455203Z digest=sha256:32f06d1c781af5d02a7f0d7556630e6bde995928cd5a5283a8b5b270dc426400

Observation ee07bb93-3b19-4e3c-8365-ba11cecc0826 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.459106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.459106Z digest=sha256:bc6e803898c5362d8e24c972edae194bd440131eeee28cf5c0db39f82a8b102b

Observation c2943eba-c047-4646-825b-07fe4d7b9439 · outbound

This paper cites Rethinking Entropy Interventions in RLVR : An Entropy Change Perspective.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Rethinking Entropy Interventions in RLVR : An Entropy Change Perspective

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.462699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.462699Z digest=sha256:a9a6997b2c95ce7c76705de83813852ebd494c50aa50acf02e9c0aa4311c425a

Observation 78fe94ea-baa3-41c6-8cb7-00203471dd00 · outbound

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

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.466300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.466300Z digest=sha256:0ed30425687c1d0306376b2047029362f43365c505deff4f201679eb96211ed8

Observation 04007618-c627-41e7-bdf8-1b5e492f6cba · outbound

This paper cites Linear Algebra and its applications , volume=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Linear Algebra and its applications , volume=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.469826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.469826Z digest=sha256:58cc79172acd4f332f3d1724d7b880f8e7b679d766c72aece3f901f5ffd1db96

Observation cd8a896d-0e9b-4798-9696-dda7b5e3f76c · outbound

This paper cites arXiv preprint arXiv:2603.10535 , year=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs arXiv preprint arXiv:2603.10535 , year=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.473401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.473401Z digest=sha256:8781e9f5c0373fd56531a9afe329754649c8f05938c9582c6d7382c648cc60ba

Observation 56711a75-6701-4047-8d20-e4ab82788410 · outbound

This paper cites arXiv preprint arXiv:2510.17776 , year=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs arXiv preprint arXiv:2510.17776 , year=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.477245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.477245Z digest=sha256:04277d311de7a0f09854e0820db5695ec23132afb4f8096c3899906045f35684

Observation cd3de38b-8688-4b07-87b1-0c375be51a35 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.480854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.480854Z digest=sha256:2b9b8bef067767d13e7fe8c1a7e6a5764c9baad72ec96a27648a7c26c6fb76cd

Observation d97c9d7e-1e00-4727-a169-799c999d5185 · outbound

This paper cites International conference on machine learning , pages=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs International conference on machine learning , pages=

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.484325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.484325Z digest=sha256:f47663e097e24adc68373375495d97708f6c4fc1f085676aec19b73a6053871d

Observation b7a25775-9296-41ae-8ab5-90bd131717b6 · outbound

This paper cites arXiv preprint arXiv:2508.10480 , year=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs arXiv preprint arXiv:2508.10480 , year=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:51.487855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:36:51.487855Z digest=sha256:bd04809cf6f30a4178d1e5eac7be14c1da1dbce4cbad4546d818b16e22ca7e2a

Observation 2eb444f8-3c97-4295-8126-56c992cf46bd · outbound

This paper cites 2024 , eprint=.

GCPO: Diagnosing and Constraining Subspace Geometry in Rollout RL for LLMs 2024 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:36:52.047495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-16T00:36:51.491371Z digest=sha256:66db7e875eadbd0a7ec774526830e3af5f7db5da30038306d1dcdbd4d6423561

Pith citing papers

No inbound Pith citation observations are available.