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Paper Citation Record · LEDGER

Enhancing VLM Reward Models Through Structure-Aware Fine-Tuning

As of 8 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 2026-08-08T06:32:00.761636+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:f5d655e7e62fd7be49f4f63b82d1d5f13d0c5c6e45ef334a868716ff467ddb55

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:cae4b8c185f58665d054aee25a6995803a2b9fa17a187a1af3e993509663b0bc

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.530757Z digest=sha256:275c8135d5d2293ef415dd4e8f7b58b864d0414e0be22f0c95eff0da43f29517

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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.535388Z digest=sha256:24e3a5b78d5f639ae6a6d3f895bd2b63e2459820a7eacbdfca7d73449e16e3c9

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=sha256:78d2b4ce2cea6b62a21347ff70998f6531eda3542db20f0a3aaaaa4eefbb2015

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.545453Z digest=sha256:d18e77342b75afea85c7f3efac856efe0ce8f69d82b48da876522774bdb92438

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.550424Z digest=sha256:578ae60346f0bb5b1724458740f2be84450289a69dd8a7f982f528cf0c7556c7

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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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:e7efb9a2685373e9aeee7ea64a7871a9888e3068eb63f63470f89a969315e77a

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.560038Z digest=sha256:0aa0b1511ce464ac412c223169afb937026b56b1c2eee04fb5d7fb2a0d55c2ea

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.565505Z digest=sha256:71ab06c37a985251e78c6782f28e6f94045c9c89e171da451988897501944b51

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=sha256:2ca82e99fcfa31a5b2b1dbe22688923482ca2f2bb27fab74d9edb515ebff0132

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.575026Z digest=sha256:04f1f0a32972e8579a83ffff18f8aab9d3f5582778755521f2c6b0e2bef42d80

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.579474Z digest=sha256:37186483e4b30ff1dfec36ebc0774b6eb45c50c3386902bd1503604d4ff62462

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.584515Z digest=sha256:7e817a582bb89b0e919d1f412f70a092a2d546833010176dc78963b969c5a6e4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.589264Z digest=sha256:0141961fd52e03ee4aa4b10361f9b97d9c6743598ed44b2d74cd3ca654f7f183

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.594281Z digest=sha256:110b6195343b4476dcaca46c699b4f7f6fd0e8f4a30bb69a98eaf809d2a22a1c

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.598763Z digest=sha256:d0063dd899b7ca233926b9403af5b859de74d3cffa944433aa28a13feb634b2b

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.603600Z digest=sha256:505fefd68da05fe6498cfe25713f730aecbe0b34aa1db6831a0470ee9e1dab41

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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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=sha256:8fca451635e36acf3608378c847c92249a4baa0effd961d844f2c8bb1b3057c3

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.612961Z digest=sha256:8494fb9f65a910ffdd816954664953ae40c54713cd34a3b41ae8f2a4e04f068a

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.617384Z digest=sha256:5dcf4a15c733d770f8d2b7015ab0f0cc4d693a224953102b9e205fdf04bbd3b0

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.622299Z digest=sha256:4b0f3ec580907d7f3b5b597829d53b6d44eacef83a8639fb2fb1b7d4ab785643

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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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:d1a3226ed49f868c9afb0ee8d7993c17248eed5201213b7ea94da2784183ab28

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=sha256:6618997d1476569ec345854d55ee0840332288eef4b323af6d047a48f328214e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.635768Z digest=sha256:045b7b5ffe243e3062baf85e86c7b8253a0f40334f144885b0c234afbba646e6

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=sha256:9cf947a642bb4eacf2d3933330998c62af730c1752f862f5f5e26204f87cf0c0

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

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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=sha256:1a6976036f4c3ede31aec14be920d5192e0f206bb8c93907e3b2a86a4e191b21

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=sha256:8c1d0aadd5216cb48b1187f9fcfa8b9ef6e6ca28a3057d3c8ac128595a93727d

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.656277Z digest=sha256:5398f2aeeeb1e947db205dec16342dfd60fb882650d2cf2d47947029ccc8a76f

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.660979Z digest=sha256:5fbcc8909249df28c6025258c053b0f09cfe9835fd7b062ef3dbeca1c606e3b3

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=sha256:431adae1ad8728ff5ada2934461aa03413eb875993f18fad9119c9d6cf0c88ac

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:d00bda6de6a4b151ca8c61aea377e0713853a0c8d5779f3766d36e80633cfef5

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:cc4ab88f472ea0224e27fb44bb4ccdcfa3814dd60f61d3dbbfe7dcf0343f5ec2

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:ad68871ba182e99aa1e60b9d9e338c664246d0505df15fd9781744e0a667b4ef

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.686239Z digest=sha256:21f2121720011b5adfb11e5b7a9842f5430f80e5a8e7f0039dc16700c8af4fc0

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=sha256:26a59edb41c89723a03f2d0a6a7a340be4fe1d1f5ea09aa0f99af5c7d36a93db

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.695332Z digest=sha256:6d47d942011ee4ed4cd16a0095c6284b83df6ae10a6e60ed3ccf518a9a1f085e

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

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

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source=arxiv_source observed=2026-08-05T10:39:50.705098Z digest=sha256:dfb2be1bbb7dc00af7913c62de64f83cddbdad7f862499af3689d05d73b3b005

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

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

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source=arxiv_source observed=2026-08-05T10:39:50.709584Z digest=sha256:0f1b1f61cd7ed68137d8bbcb4c764185df173c99f06aa5a7415c824ea0fb917c

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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source=arxiv_source observed=2026-08-05T10:39:50.714563Z digest=sha256:3ab0b63db967fe5099c45f167f2edefce2ac1d1b0689a07ff718e99be6cbc009

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

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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

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source=arxiv_source observed=2026-08-05T10:39:50.723949Z digest=sha256:19cc9af956a8582f5c70bae655abcbcda693a1ded8487fa9e7f4a35e46a04225

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.728946Z digest=sha256:4efc9b9fe9ace180684a64e0e923194e974bfef19adbebdb3bdab645a0f67711

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

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source=arxiv_source observed=2026-08-05T10:39:50.734020Z digest=sha256:b4b260d78db1a403cbad52cee7358f99229634f8118ff7a9e6c188443ebc230e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.738647Z digest=sha256:191f8fac0e2e7c6f443e1b1b50d5ccabfae7428405583756b6d27b99398c557e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.742948Z digest=sha256:0d3315f5d982ec13a32f2abe9a2d18e1fc4706c47bf11d723ff95ded4bcbf428

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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source=arxiv_source observed=2026-08-05T10:39:50.748020Z digest=sha256:ae1b792b7b605ad336c5938ec133a837cc3af7d5bb30660d35d0a564a190074e

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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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-05T10:39:50.752373Z digest=sha256:d01ab2e2d69945a6511dee515f3bdaa29e007f456d54ea671713938653de934a

Pith citing papers

No inbound Pith citation observations are available.