Paper Citation Record · LEDGER

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2608.03875.

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

pith.paper-citation-record.v1
2608.03875 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:39:50.752373Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

49 of 49 outbound references displayed

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unresolved24
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External citation measurements

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Outbound references

Observation 4279d3ba-80c9-46e0-b426-abdf5d33acce · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning The Eleventh International Conference on Learning Representations , year=

Reference 1

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This paper cites The Twelfth International Conference on Learning Representations , year=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning The Twelfth International Conference on Learning Representations , year=

Reference 2

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Observation da5d7d47-7bf4-4332-b98b-89c168f7540a · outbound

This paper cites 2023 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2023 , eprint=

Reference 3

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Observation 6e93e426-9d50-4590-bab2-519f6f2f0640 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Forty-second International Conference on Machine Learning , year=

Reference 4

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This paper cites 2024 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2024 , eprint=

Reference 5

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This paper cites 2023 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2023 , eprint=

Reference 6

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Observation d86fdeef-ecb6-4929-8785-4b3b8a6ad079 · outbound

This paper cites 2022 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2022 , eprint=

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:51.419003Z

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This paper cites 2022 , url=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2022 , url=

Reference 8

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This paper cites 2024 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2024 , eprint=

Reference 9

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This paper cites 2024 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2024 , eprint=

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:51.364357Z

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Observation a5030185-93e5-4fae-b9d9-f7ef05f35f9f · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning The Twelfth International Conference on Learning Representations , year=

Reference 11

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This paper cites 2023 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2023 , eprint=

Reference 12

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Observation 5f93d832-d65b-4b71-853f-8ab816697dc6 · outbound

This paper cites 2025 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2025 , eprint=

Reference 13

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Observation ff478223-4fa7-4fe5-b643-3fd9402f3f29 · outbound

This paper cites 2020 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2020 , eprint=

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:51.305876Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6108c9d0-7535-4de9-862e-a0a456a15019 · outbound

This paper cites 2018 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2018 , eprint=

Reference 15

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This paper cites 2020 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2020 , eprint=

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:51.273409Z

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Observation 92eb70fb-db87-481d-b287-a2be7f460f56 · outbound

This paper cites 2019 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2019 , eprint=

Reference 17

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Observation c9a9337f-84fc-44ba-8167-fd02662756f3 · outbound

This paper cites 2020 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2020 , eprint=

Reference 18

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Observation 1f3c0fa2-603a-41c4-b27e-c554a746c283 · outbound

This paper cites 2021 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2021 , eprint=

Reference 19

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This paper cites 2020 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2020 , eprint=

Reference 20

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Observation e147877a-9bd5-443a-89e7-d44690e6f953 · outbound

This paper cites 2016 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2016 , eprint=

Reference 21

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Observation 852696a5-60c7-4a6b-8e41-a92a6f60ca3d · outbound

This paper cites 2017 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2017 , eprint=

Reference 22

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Observation af9a05c5-f104-478f-9d2e-3490563e456a · outbound

This paper cites and Chopra, S.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning and Chopra, S

Reference 23

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This paper cites 2020 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2020 , eprint=

Reference 24

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This paper cites 2020 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2020 , eprint=

Reference 25

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Observation b3c343aa-00c8-4a2b-ac3a-d9b2a109b67c · outbound

This paper cites 2017 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2017 , eprint=

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Terry , journal =

Reference 27

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This paper cites 2017 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2017 , eprint=

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2021 , eprint=

Reference 29

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2016 , eprint=

Reference 30

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Observation a1f17e65-97a5-49a4-a4bf-0d20f3c328e4 · outbound

This paper cites and Mathieu, Micha.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning and Mathieu, Micha

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This paper cites 2025 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2025 , eprint=

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Meta CLIP 2: A Worldwide Scaling Recipe

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning and Harada, Daishi and Russell, Stuart J

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Model-free preference-based reinforcement learning , year =

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Advances in Preference-based Reinforcement Learning: A Review , url=

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This paper cites 2022 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2022 , eprint=

Reference 37

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Observation 8d18a458-ddf5-41cf-8804-967c43382758 · outbound

This paper cites 2021 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2021 , eprint=

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This paper cites 2021 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2021 , eprint=

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This paper cites 2016 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2016 , eprint=

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments , year=

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning doi:10.5281/zenodo.5143773 , url =

Reference 42

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Journal of Machine Learning Research , year =

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This paper cites Proceedings of the 5th Conference on Robot Learning , pages =.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning Proceedings of the 5th Conference on Robot Learning , pages =

Reference 44

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This paper cites 2022 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2022 , eprint=

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2017 , eprint=

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T10:39:50.948927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning International Conference on Learning Representations , year=

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f86e78d-6c1a-444c-bb78-a82660a1a4bc · outbound

This paper cites 2019 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2019 , eprint=

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Observation 7bd474c2-2496-415d-b125-aad8541e5c83 · outbound

This paper cites 2025 , eprint=.

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning 2025 , eprint=

Reference 49

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

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