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Paper Citation Record · LEDGER

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning

As of 14 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 2026-08-14T06:32:32.682623+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

  • verified exact0
  • verified fuzzy25
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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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unresolved
no resolver link, observed 2026-08-05T10:39:50.519465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.519465Z digest=sha256:ed95a3998c1f080ca6c0c87098063e975e268e2ad2007f770e8212d9ad55fd64

Observation 0c9cea06-160d-489a-b4a6-cc69f83ce696 · 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 2

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unresolved
no resolver link, observed 2026-08-05T10:39:50.524495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.524495Z digest=sha256:4643fc37976ee41db6ed2a41f2cabb8a11c93fd91e029104351cb872a367bdf9

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.530757Z digest=sha256:aa13a44913f47a74cb48f5b7d4b9251903387a5f79bb97de1783ca320f0bdf82

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.535388Z digest=sha256:44289a3ddae71d9bd05d0a46e8d800e8f774059d9cedb1a56e5f98d87f6431a3

Observation eb11ea94-73ad-4046-9771-598b66381d70 · outbound

This paper cites 2024 , eprint=.

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

Reference 5

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unresolved
no resolver link, observed 2026-08-05T10:39:50.540135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.540135Z digest=sha256:9d42a434c99a62b7b3dbec93de637d08a30f5886e133bc7bc1f8bf418b04f7da

Observation d2ad46b7-3186-4055-81e6-b8a7c2b0c75f · outbound

This paper cites 2023 , eprint=.

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

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.545453Z digest=sha256:42a3b87ced410ba05682548d1ad627a2aaa324dce274c064b46ee34f3239556b

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.550424Z digest=sha256:1106edfc2f667ffd33404b95dc978174bec340276c8f1dfbf85ae7561b31f746

Observation f176532b-ce3c-4666-b258-8110c5d44b83 · outbound

This paper cites 2022 , url=.

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

Reference 8

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unresolved
no resolver link, observed 2026-08-05T10:39:50.555423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.555423Z digest=sha256:cf812fc9f6e8b793d3e9940a86296148ece7ef35d687ff652d564ce380d88e72

Observation 1e928e64-4e62-4b2f-868d-9cb07d19d1eb · outbound

This paper cites 2024 , eprint=.

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

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.383719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.560038Z digest=sha256:dfd3d443d19ebd2562c03d3782be76b269c8aa3f0c234d7c835b49f128ab7af8

Observation 2de98b43-4866-4f04-ba23-3d47deebec18 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.565505Z digest=sha256:873a736bfde4afc61e563ed7ffadb3ce995623bbfa3f147cfafe5f45e2561538

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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unresolved
no resolver link, observed 2026-08-05T10:39:50.569787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.569787Z digest=sha256:9f11d59fab119702a62842aa09433031b3c665ce66a3ba2a278172a63c201caa

Observation 855f8db7-72fe-466e-9442-0573f39f360f · outbound

This paper cites 2023 , eprint=.

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

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.575026Z digest=sha256:a82983d2d98ec49bd6a29c2e7be11aa35c151aaf6d234f171ac4cdfe1a381ca4

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.323575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.579474Z digest=sha256:3541955ad25beb17fff7b7808e7b2f93c26d1f3bb74981eb7e2e6c725de362f0

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.584515Z digest=sha256:18752f47a19cdb0cba25ae1a30947fdaf3dc84ed0171bd5433024c72644ebc88

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.289695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.589264Z digest=sha256:91be12cf20ff0c4a16d12f6dbb2ee57da48cf2ab5853d0ddf36f05bb52a9db9c

Observation dd945a46-8720-4882-840e-e5b8aac1afd7 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.594281Z digest=sha256:33087a802354d7bf0e44d5379b77b8bd550f1478c6c9f27898849da587a15f0e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.256752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.598763Z digest=sha256:1088f1903b981fc989a0133562dbac925c6a415b8ef70e4f03f1258959bbd84e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.241948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.603600Z digest=sha256:4687593c07e0f1f672705628f8734bca88b84e9a9e0f73517d495ae8c8874608

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

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.608134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.608134Z digest=sha256:1771194bf3a7cafbc03df38892dbb9247d10f65ae48e09490eb85e375bb8630f

Observation d8cb0426-bfd1-4237-b9cd-28a277474898 · outbound

This paper cites 2020 , eprint=.

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

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.215734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.612961Z digest=sha256:67cee61a0eab1f3796a284624e21630742ba13527210290027bb6a147ae1e21f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.200721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.617384Z digest=sha256:61b3498a79654ffcc38d5a60c3e77cdff57f1eee69a3f6cbaf736927f649c2f7

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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.622299Z digest=sha256:53bc2776ff1852e87330c3e52a130f9c2a13afb763a5718bce440335f44cf9d7

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

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.626656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.626656Z digest=sha256:b6f6e99f301311b954da38b4b389c3220374e1fdc6310fb97a9cf5992360f6ab

Observation 791ebae3-a422-47de-8c30-7863aa9aadc2 · outbound

This paper cites 2020 , eprint=.

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

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.631629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.631629Z digest=sha256:445d003b294c948ced8a666dc81983c7b287a141778f93a4d6f8f89803dfe940

Observation 6f61f2e8-7695-43d3-a705-016d6c32ac06 · outbound

This paper cites 2020 , eprint=.

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

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.151714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.635768Z digest=sha256:8fef3faf2c1287faa880f9ad54c477ccd0faeab5cf4471eb8ee9ef36f9c5cfa7

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

This paper cites 2017 , eprint=.

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

Reference 26

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unresolved
no resolver link, observed 2026-08-05T10:39:50.641243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.641243Z digest=sha256:8d4ed69042fad860215918c6506a9637cedd596f12372ff8268aaf88ae97671c

Observation 4804c65d-3590-4068-b72a-5631840182cd · outbound

This paper cites Terry , journal =.

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

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.645676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.645676Z digest=sha256:8716a2820c076aefcb162c02ae3732feef8044b0334647abab26da312cfc29dd

Observation 52756f09-709f-447d-838e-b671fbf34fcb · outbound

This paper cites 2017 , eprint=.

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

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.651522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.651522Z digest=sha256:217f6019ea4cf1e77fa897e23649d6703bcea2579a02bce549e82c2f5f3cc6de

Observation bab72f3d-c83a-41bb-9146-2707268ac6b3 · outbound

This paper cites 2021 , eprint=.

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

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.107328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.656277Z digest=sha256:4177d4e01240a4be1ea1909cc83df4665e71e12125966f3327cfd1950c7c1f64

Observation ca7abcee-b447-4840-9c8c-31deea35477f · outbound

This paper cites 2016 , eprint=.

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

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.091116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.660979Z digest=sha256:daf1bb26b6a0e041264d91e0a5116df7554b0806043df3879248d27f085b7c21

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

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.666428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.666428Z digest=sha256:86bb6561fef07695d8c0544c2005cd9bd214075f5cffd4239876d42335f58f56

Observation 62133fbe-576f-4b89-9860-5bcd918ce65d · outbound

This paper cites 2025 , eprint=.

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

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.670958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.670958Z digest=sha256:f00470f302d454d3c62e4e5586daa730c0ce2e655b852cfef3339d6ed8e92918

Observation 5c7b89bf-88f1-4b03-9f7e-bfa49d0f73af · outbound

This paper cites Meta CLIP 2: A Worldwide Scaling Recipe.

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

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.676419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.676419Z digest=sha256:fb02d5de14ef74a205de0ce23bbd300884cc55602eca66bb376be05f448682c0

Observation 60c8d64b-2833-41cd-a27a-27aaa4bf5b15 · outbound

This paper cites and Harada, Daishi and Russell, Stuart J.

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

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.681579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.681579Z digest=sha256:51e2a32dd167517c214706da470bd781f166fbc785ff3b22dca0c4e16918fb7a

Observation fd6706e6-b98a-4fa7-a407-84757c1a28f9 · outbound

This paper cites Model-free preference-based reinforcement learning , year =.

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

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.055957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.686239Z digest=sha256:273f43e606c99a3e4b3b5eadcacc849fc2dfa04ff5264d6ea39e3a347267f22d

Observation b0ce3377-1c2e-47f9-8df8-3190f9272aca · outbound

This paper cites Advances in Preference-based Reinforcement Learning: A Review , url=.

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

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.690772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.690772Z digest=sha256:b0f81083bead4587e3db9fa7c25e00cfd0fb232e5570777ef3a6086b5d6d1bde

Observation 70ec5bae-62db-4930-9eee-39f7ee1f0f28 · outbound

This paper cites 2022 , eprint=.

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

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:51.040226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.695332Z digest=sha256:a76d151036822d3b7e1413038c7efe7d3cbf4c0ef4b492437f626eb23badba90

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

This paper cites 2021 , eprint=.

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

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.699762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.699762Z digest=sha256:1ec19ba53719187c8cf204c77c5bc4967f5e7889e6aa2c533e09f17cf97018d5

Observation 49fa5bb8-9792-4850-ab0d-5ce27d823c5a · outbound

This paper cites 2021 , eprint=.

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

Reference 39

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unresolved
no resolver link, observed 2026-08-05T10:39:50.705098Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T10:39:50.705098Z digest=sha256:d2f34b4b38f62ffb1c55639dfd962122223856013af4e9beb7a4c72c74350a8e

Observation 21c27120-5b76-477b-bb74-9b219db682ee · outbound

This paper cites 2016 , eprint=.

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

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:50.709584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.709584Z digest=sha256:f3c7020e9c9bf19622d6698a56e37218a523459fbe3915534ccd28c7c9db080c

Observation a3ad831b-8c00-462b-a78e-9ac9868ae026 · outbound

This paper cites Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments , year=.

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

Reference 41

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unresolved
no resolver link, observed 2026-08-05T10:39:50.714563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.714563Z digest=sha256:e7df6d68fc607360ee238a5e57d1453693fd82d3e779207e29ba6d5092198d5b

Observation 3177818c-292a-4d75-b414-b2c617dee1da · outbound

This paper cites doi:10.5281/zenodo.5143773 , url =.

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

Reference 42

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unresolved
no resolver link, observed 2026-08-05T10:39:50.719216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.719216Z digest=sha256:0a63883d9e41418cea5c8c96ee595f4286892abdb2955acd3cbc7f2fbb11fd5e

Observation 72cd421a-458a-4d36-bff6-c22cc9c9cc1e · outbound

This paper cites Journal of Machine Learning Research , year =.

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

Reference 43

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unresolved
no resolver link, observed 2026-08-05T10:39:50.723949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.723949Z digest=sha256:98a1a5c2a0d9f8a62e85d0205c1954752f70edffea43858bc016e476300dc9cb

Observation 8f5c9055-2cf0-4edd-b9e7-feec406362d3 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:50.974416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.728946Z digest=sha256:505f12f250bae1e441f3356f4bc22b8a8d4b7f274ee2614da6f8c0ce9dcc5553

Observation 008e05c9-2908-42b9-83f6-ba15edf5f56d · outbound

This paper cites 2022 , eprint=.

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

Reference 45

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unresolved
no resolver link, observed 2026-08-05T10:39:50.734020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.734020Z digest=sha256:c1d1e8a504c07810e2ee155760efa33a62915f7dc84001874ad2716f004c86e6

Observation fa12b9cf-840e-4cd2-91a3-fa59ef54ee9c · outbound

This paper cites 2017 , eprint=.

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

Reference 46

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.738647Z digest=sha256:159371bcadebb2696455509a0c4ff93fa94ac766aa405ec3f7aad8888853d977

Observation 49152e4f-97ec-49e7-a1af-cc5a6c0a0653 · outbound

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

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

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:50.932471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.742948Z digest=sha256:c7e9852ad2779e0d37ec82b4cc31acf3a78f50c8276cddb660cb0d7c8f45ede2

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

This paper cites 2019 , eprint=.

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

Reference 48

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unresolved
no resolver link, observed 2026-08-05T10:39:50.748020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:39:50.748020Z digest=sha256:904a719bf7881e54cbc282c2fd3e17b23a460b57e393c8344f8e183c61f0c99e

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T10:39:50.906097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.752373Z digest=sha256:807a8c9e6521a91dec8d3f6a4fb5867b55acfa74393a4ce44807471419e73098

Pith citing papers

No inbound Pith citation observations are available.