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Paper Citation Record · LEDGER

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

As of 14 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2607.21655.

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

pith.paper-citation-record.v1
2607.21655 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:42:59.722920Z

measured 60 of 60 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

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved60
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87a26fa1-ecf1-4d67-aaaa-6eb0c6c3518b · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 1

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unresolved
no resolver link, observed 2026-08-01T09:42:53.688937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:53.688937Z digest=sha256:7909606593162b82733aaf9efab020ff12a1280f9963b1e1f764d0f0d1a911a9

Observation 12338c29-8366-4507-ad44-a56bc822dd26 · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 2

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no resolver link, observed 2026-08-01T09:42:53.731458Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T09:42:53.731458Z digest=sha256:9c7db35bfe2544f1ade7e1602389bd35a9853c4b52407869926acc1c49963a65

Observation 11275480-e455-42d8-82c5-1ea07d0cc1cb · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 3

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no resolver link, observed 2026-08-01T09:42:53.826023Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:53.826023Z digest=sha256:6739c6197cfa39fcec4024658ee738c001c7f9d48b7f335a80089ce77587c239

Observation 2b062e4c-b0cd-48ad-9444-5423b190dd84 · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 4

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no resolver link, observed 2026-08-01T09:42:53.902928Z

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source=arxiv_source observed=2026-08-01T09:42:53.902928Z digest=sha256:c0d8e64d2965a8c3cda822fe041b761cb9755c1c871b32a94518a450d38bbc85

Observation af3669d2-a651-423d-999e-0518b4a51276 · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 5

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no resolver link, observed 2026-08-01T09:42:53.975971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:53.975971Z digest=sha256:768159cc6d2e1589326cf924d6e661585794ebf9c913dd1c6b396fc8fb26d08d

Observation 335eaedc-2d3f-41ea-95b9-dc2d7f796a2c · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 6

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no resolver link, observed 2026-08-01T09:42:54.061329Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T09:42:54.061329Z digest=sha256:706279d0d5771b8c37c8b5d0882efb6030826e26e76beee244c7d464fecd2a32

Observation 1e7c1eb3-c836-4776-b50d-b80bef7d6e32 · outbound

This paper cites arXiv preprint arXiv:2512.23703 , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey arXiv preprint arXiv:2512.23703 , year=

Reference 7

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no resolver link, observed 2026-08-01T09:42:54.116620Z

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source=arxiv_source observed=2026-08-01T09:42:54.116620Z digest=sha256:b5d2499a188a74609ae5040a399b9439ed3b7926791ea2fd2f69636491ffcd5b

Observation 8daa4eb7-654d-4023-8445-94527812af02 · outbound

This paper cites 2025 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2025 , eprint=

Reference 8

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no resolver link, observed 2026-08-01T09:42:54.209517Z

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source=arxiv_source observed=2026-08-01T09:42:54.209517Z digest=sha256:430f848ce4f2dba9ad7b36497aa3481a479bdfa0b572776de3ed703c9eae7ad0

Observation 3c7946d5-2387-4b82-8409-74c4cb5031a0 · outbound

This paper cites arXiv preprint arXiv:2509.17321 , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey arXiv preprint arXiv:2509.17321 , year=

Reference 9

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no resolver link, observed 2026-08-01T09:42:54.311738Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.311738Z digest=sha256:de61bafab87ea2de299a35b06d7af21a80fcba6f8c359278f6406684a415dd98

Observation 55888780-f4c7-483b-b397-2f4b8e65f0a1 · outbound

This paper cites arXiv preprint arXiv:2509.15937 , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey arXiv preprint arXiv:2509.15937 , year=

Reference 10

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no resolver link, observed 2026-08-01T09:42:54.406687Z

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source=arxiv_source observed=2026-08-01T09:42:54.406687Z digest=sha256:9bf705ba9d0df71b2cbdc66fb074e92a62afe6c0c87bc832e5ccddbf5b1e2d6f

Observation 52a126e1-0a22-44b5-ae44-22a91dc99b30 · outbound

This paper cites 2025 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2025 , eprint=

Reference 11

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no resolver link, observed 2026-08-01T09:42:54.490768Z

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source=arxiv_source observed=2026-08-01T09:42:54.490768Z digest=sha256:520530c90ae8bb19c48a7dde4632ba8a9ca29bdf2ccbf25f41aafb652d76bb7a

Observation 842f08c8-1528-4ab6-817e-27359f6cdc14 · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey The Thirteenth International Conference on Learning Representations , year=

Reference 12

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no resolver link, observed 2026-08-01T09:42:54.542844Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.542844Z digest=sha256:6369549ce8d8e8133c62cd29af04831fd820cc77e89268126e39662fcdefc9f2

Observation 5c491f7c-edce-4113-8136-7bd306797fe6 · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey The Thirteenth International Conference on Learning Representations , year=

Reference 13

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no resolver link, observed 2026-08-01T09:42:54.618060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.618060Z digest=sha256:1c839588d43c43936d18f9f992f9166fd507acdd58caa97181b82141816fc2fb

Observation 21d766fb-70a0-4a5d-a5c9-ae47dd09bf7b · outbound

This paper cites 2025 , volume=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2025 , volume=

Reference 14

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no resolver link, observed 2026-08-01T09:42:54.692327Z

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source=arxiv_source observed=2026-08-01T09:42:54.692327Z digest=sha256:47428b7c8aad29fb61beb48167fca3d9a6bba775b172450ab3b68c8700375705

Observation 25e2043a-c04a-4a3b-ba71-d8e659a16486 · outbound

This paper cites 2025 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2025 , eprint=

Reference 15

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no resolver link, observed 2026-08-01T09:42:54.767348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.767348Z digest=sha256:183f2bd79b212d5511159c6b742564a0feaeb3ed798d5160a13865de5af4cdbd

Observation 49640ffc-b9c7-42a3-8b4c-0553eb578515 · outbound

This paper cites 2025 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2025 , eprint=

Reference 16

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no resolver link, observed 2026-08-01T09:42:54.836479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.836479Z digest=sha256:a999e258bc26793dfba7d91a065769fc3cdc4fad748192a2e0191f91ce5573ba

Observation e9b26648-018c-4240-94b6-fe65edb03c8c · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey The Thirteenth International Conference on Learning Representations , year=

Reference 17

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no resolver link, observed 2026-08-01T09:42:54.916576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.916576Z digest=sha256:68c85cbd379e4cc4678bf749ea8afcbe4b8c871f80f4540869318f741517d940

Observation 8eea190b-38c2-416d-ace1-fc3ff7dfcce8 · outbound

This paper cites 2024 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2024 , eprint=

Reference 18

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no resolver link, observed 2026-08-01T09:42:54.976902Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:54.976902Z digest=sha256:beeec8736b0b2b67facafebf07bdd29bbd3729b7caee77c8877e5f2c7e250185

Observation e1f744cf-81dd-4a27-b8a5-286661a0c6f9 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of the 41st International Conference on Machine Learning , pages=

Reference 19

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no resolver link, observed 2026-08-01T09:42:55.046588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:55.046588Z digest=sha256:14bcc40122aff86953e7230d51925e2af9484a8f0c95073d6d602bfd68cf9c0e

Observation a767fb5f-e975-430e-8517-455d66437135 · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of the 41st International Conference on Machine Learning , year=

Reference 20

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no resolver link, observed 2026-08-01T09:42:55.163468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:55.163468Z digest=sha256:66b18c34850fe7d903b5d00a0f750a6bd0b82160cb7a81253273dc82428d5b50

Observation 1629c731-6266-42c1-abc6-894b6abb5cb6 · outbound

This paper cites 2024 , url=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2024 , url=

Reference 21

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no resolver link, observed 2026-08-01T09:42:55.279345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:55.279345Z digest=sha256:dfee9af25eba3b0cba239c857577e408967a62e84fc37344323c7542cfb6d66a

Observation 56ef3d28-9f6a-4278-b694-f58a05e2a2f9 · outbound

This paper cites Video Prediction Models as Rewards for Reinforcement Learning , url=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Video Prediction Models as Rewards for Reinforcement Learning , url=

Reference 22

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no resolver link, observed 2026-08-01T09:42:55.395401Z

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source=arxiv_source observed=2026-08-01T09:42:55.395401Z digest=sha256:e0b7b5abbe6a0608ec15e7f98f471e1f95cfab57f340fe51a98bd910744a3b5e

Observation f7291943-708c-4944-9fe9-03b5eeb91fad · outbound

This paper cites Vision-Language Models as a Source of Rewards.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Vision-Language Models as a Source of Rewards

Reference 23

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no resolver link, observed 2026-08-01T09:42:55.547292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:55.547292Z digest=sha256:fe08fcab65aeaadca2f115c6e4b0e6fca87fdff2e47286401a6c5decf2bffd5d

Observation 1b03f664-a448-45cc-8f53-50b283aac434 · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey The Twelfth International Conference on Learning Representations , year=

Reference 24

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no resolver link, observed 2026-08-01T09:42:55.656943Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:55.656943Z digest=sha256:7e3eb4e47cd9ca36cd4310b528f00d9845d463b4b86c9944052c2375d2f0398b

Observation ff5eb1c3-2301-477b-8bfd-260f387d4ce1 · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey The Twelfth International Conference on Learning Representations , year=

Reference 25

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no resolver link, observed 2026-08-01T09:42:55.777935Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:55.777935Z digest=sha256:7722b9b7c19bfb4bb47abe55183bf8c7557e9ee1874dc60c3487ee805a9b7edc

Observation a11625f6-5cbe-4fab-981b-8f7dcc9ce4d8 · outbound

This paper cites 2023 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2023 , eprint=

Reference 26

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no resolver link, observed 2026-08-01T09:42:55.920374Z

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source=arxiv_source observed=2026-08-01T09:42:55.920374Z digest=sha256:d9502dd8d301bf2a1ff1abe0311f81973a5d29ae9db014914f9e7aba5aa57ceb

Observation d24b17f3-1b19-4d2d-9455-69586d611906 · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey The Twelfth International Conference on Learning Representations , year=

Reference 27

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no resolver link, observed 2026-08-01T09:42:56.004052Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.004052Z digest=sha256:0e3d8fe9e2d4ee175f1ae5b7474a260c3f8617551ec2ca1df3105f8b544820d9

Observation bdbe127a-12df-408d-b497-9da39eb32410 · outbound

This paper cites 2023 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2023 , eprint=

Reference 28

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no resolver link, observed 2026-08-01T09:42:56.171831Z

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source=arxiv_source observed=2026-08-01T09:42:56.171831Z digest=sha256:f2f1ff735d12f5efc5e013e4f4d84d0d06087f223e9b9d6ef2b38ebc3e87437b

Observation 2dbd5720-5b05-4a97-8f09-4fb45fd02356 · outbound

This paper cites 2023 , volume=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2023 , volume=

Reference 29

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no resolver link, observed 2026-08-01T09:42:56.336448Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.336448Z digest=sha256:4e9a2f1773973c4606d62a6c61dce2b799c3c5984b869a223c041f25d411a235

Observation f6d2c968-2f4f-46b2-959c-8114909fec82 · outbound

This paper cites 2023 , editor=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2023 , editor=

Reference 30

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no resolver link, observed 2026-08-01T09:42:56.435173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.435173Z digest=sha256:9ca60b72ce9d21563779e9a5aad0245c30b462f50a263250aa1114ab54dd7f60

Observation 03dc9f89-b755-4f7f-8953-606d1db2827e · outbound

This paper cites Proceedings of The 7th Conference on Robot Learning , pages=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of The 7th Conference on Robot Learning , pages=

Reference 31

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no resolver link, observed 2026-08-01T09:42:56.488557Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.488557Z digest=sha256:e414e5e41605e437081fbef6b032d97a7dbbf6a2bfb576a0cfecdfe4fff7d430

Observation 2761d320-5a9c-47b9-be0f-ea77985e8014 · outbound

This paper cites 2024 , volume=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2024 , volume=

Reference 32

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no resolver link, observed 2026-08-01T09:42:56.547466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.547466Z digest=sha256:a47bc07b89b29966d742f62426d2ea9b41ff8dac08d56df1b616cf8f69b3e3ec

Observation c4969328-e16c-4c32-a991-cec88351d7e5 · outbound

This paper cites Proceedings of The 2nd Conference on Lifelong Learning Agents , pages=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of The 2nd Conference on Lifelong Learning Agents , pages=

Reference 33

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no resolver link, observed 2026-08-01T09:42:56.642170Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.642170Z digest=sha256:924043172a061453ca34c4821781a6e8b871b73c8948acf6dbb967c5c332a760

Observation a935f140-6d3f-43e6-bfcb-e51ca71d5fca · outbound

This paper cites 2023 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2023 , eprint=

Reference 34

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no resolver link, observed 2026-08-01T09:42:56.717755Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.717755Z digest=sha256:c6dfe1a909d12884f0e580c7a1a257dce8313383cca5a288ab28f0d4b46b0f9c

Observation ad4152b9-a8c1-4f20-9b2c-33d04406a344 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of the 39th International Conference on Machine Learning , pages=

Reference 35

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no resolver link, observed 2026-08-01T09:42:56.783497Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.783497Z digest=sha256:f20571f68be7ef28b78656ad50eba22fe3191644d2a91a2cd8e5901df6d77bcc

Observation 5c04cbb5-b3c2-43d9-9d2b-781e04f3b173 · outbound

This paper cites Proceedings of The 4th Annual Learning for Dynamics and Control Conference , pages=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of The 4th Annual Learning for Dynamics and Control Conference , pages=

Reference 36

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no resolver link, observed 2026-08-01T09:42:56.838997Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:42:56.838997Z digest=sha256:3440ccd964c9a39749bd7649a1426f42d6b72d5743f5743618281ce620b0b708

Observation 02317693-c487-446d-b414-3693fbd812d1 · outbound

This paper cites Generalizable Imitation Learning from Observation via Inferring Goal Proximity , url=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Generalizable Imitation Learning from Observation via Inferring Goal Proximity , url=

Reference 37

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no resolver link, observed 2026-08-01T09:42:56.931841Z

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source=arxiv_source observed=2026-08-01T09:42:56.931841Z digest=sha256:9f23fa45d71ff44983b7c1caf9f96efdb7e5f4670ff43fbaf2ff78e468cf04be

Observation 86c71d88-fd2b-4287-8e16-fe5c9c9ebb6f · outbound

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

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Proceedings of the 5th Conference on Robot Learning , pages=

Reference 38

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no resolver link, observed 2026-08-01T09:42:57.009969Z

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source=arxiv_source observed=2026-08-01T09:42:57.009969Z digest=sha256:4573e1d98e4028674779f6ac00e23e07179700f4bda363f72f6be8ce17c885c9

Observation 43051c59-21a9-4cdb-866f-fe8e3ededae0 · outbound

This paper cites In-The-Wild.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey In-The-Wild

Reference 39

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no resolver link, observed 2026-08-01T09:42:57.073873Z

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source=arxiv_source observed=2026-08-01T09:42:57.073873Z digest=sha256:55c6dd654ef5db80a625dfc77711df68c6c709671c240d3a0654ae6b744b6549

Observation 502ceac5-2c32-4a0e-8077-d2b9456e6f1e · outbound

This paper cites 2020 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2020 , eprint=

Reference 40

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no resolver link, observed 2026-08-01T09:42:57.168438Z

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source=arxiv_source observed=2026-08-01T09:42:57.168438Z digest=sha256:41cf1c40fb39ebba55dd9cbbc65e5aa267e3dacc4125404e4b4b311308bdfcf8

Observation abb5f25a-77c7-4c6d-863d-64e4f78d4798 · outbound

This paper cites 2019 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2019 , eprint=

Reference 41

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source=arxiv_source observed=2026-08-01T09:42:57.242858Z digest=sha256:3b2d47df3cb909d2389b0aa335fc7285f436277c25e5b4f37d8627435b12c26c

Observation 308eb37e-3cb5-465b-8c53-0c2342078804 · outbound

This paper cites 2017 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2017 , eprint=

Reference 42

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source=arxiv_source observed=2026-08-01T09:42:57.294208Z digest=sha256:90ae54adc527dd28a5ca75e60c11d074143a7fe59f493c0ac6a5985e9fc6fa8d

Observation 87fefff8-d995-4a64-8971-8b6542490e05 · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 43

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no resolver link, observed 2026-08-01T09:42:57.386922Z

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source=arxiv_source observed=2026-08-01T09:42:57.386922Z digest=sha256:cdc3694544f278067a9194d90f844748eb599f530e193dc6f99b363c19112b6f

Observation b2e38af2-5810-4ef4-bf27-f3df0b19763b · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 44

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no resolver link, observed 2026-08-01T09:42:57.421634Z

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source=arxiv_source observed=2026-08-01T09:42:57.421634Z digest=sha256:67b47962aa34f1f1b61fbbf6f0c1663652e316d811e3fe9f72880fad1446c237

Observation 43f800ba-f8a8-4a66-bae4-bfad16b56bef · outbound

This paper cites GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation , url =.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation , url =

Reference 45

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source=arxiv_source observed=2026-08-01T09:42:57.445830Z digest=sha256:ab0830bfe861653019e089f4e7e0a4710c95804cda5d7d42dc4dd60e71e985ac

Observation 77bc49db-4a63-4bd5-9f22-045f898a9f3f · outbound

This paper cites ArXiv , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey ArXiv , year=

Reference 46

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source=arxiv_source observed=2026-08-01T09:42:57.615681Z digest=sha256:56f3a5ced0267a500510a30afe8804cda09d29270642edd8657a4a0324cd97e5

Observation 8ab60631-904a-4f6a-b232-6deaf9c0c085 · outbound

This paper cites Neural Dynamics Augmented Diffusion Policy , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Neural Dynamics Augmented Diffusion Policy , year=

Reference 47

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source=arxiv_source observed=2026-08-01T09:42:57.817149Z digest=sha256:91083e46ab91b20e11967a1eaecbee188fa03e8ea7de61fa1ed278e625ca92ca

Observation 2f5fa1f6-f471-4adc-9d21-8bb9c29d36c8 · outbound

This paper cites an unresolved cited work.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-08-01T09:42:57.991473Z digest=sha256:9e56fe56bb43adbe22341e0696521861e95487a6897967dc35d47fc486c3b703

Observation bc6c5e60-e3cd-4733-be39-39212986434f · outbound

This paper cites an unresolved cited work.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-01T09:42:58.204576Z digest=sha256:f698f6ef247d80db062985153dc6b74f890076c2b8c80e1c2c8351334b66834f

Observation b0645049-e279-4089-aa3d-62027a53aae4 · outbound

This paper cites an unresolved cited work.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-01T09:42:58.359798Z

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source=arxiv_source observed=2026-08-01T09:42:58.359798Z digest=sha256:caeda9cc1c97650aa63c4c52ee9c5fdeb2f77508dd3f33b5a0f313c4e878b459

Observation b75dcce5-f99f-447c-8dc5-e14d959f8915 · outbound

This paper cites ArXiv , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey ArXiv , year=

Reference 51

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no resolver link, observed 2026-08-01T09:42:58.537253Z

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source=arxiv_source observed=2026-08-01T09:42:58.537253Z digest=sha256:207e2d0acaa06966e5f02939c98094e80ffcfdb9c17f482ff3ee23b96da1498b

Observation a05f9b32-af83-4a78-9602-a9a001c5e355 · outbound

This paper cites 2026 , url=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , url=

Reference 52

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no resolver link, observed 2026-08-01T09:42:58.706162Z

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source=arxiv_source observed=2026-08-01T09:42:58.706162Z digest=sha256:6e6d0688e7fda6c9e4d29fdaa3d545d518698967cacbb6b2238bfd9d56ff46d4

Observation eca7360b-ce74-47a0-8ef0-76e8e38b7fd1 · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 53

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source=arxiv_source observed=2026-08-01T09:42:58.870811Z digest=sha256:6c2b125ff5500dc7e82d6b13f0fffc1718ce5ca89fec7da68260ba20694c5a75

Observation 68723f6c-addc-4202-b4fd-776468b99af0 · outbound

This paper cites 2026 , howpublished =.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , howpublished =

Reference 54

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source=arxiv_source observed=2026-08-01T09:42:59.000875Z digest=sha256:1077ada59be6303543ae07530512427384051f52a811b5525b4484f92f376731

Observation 02a6f949-1d7c-4f20-b3c8-4dc8647ff067 · outbound

This paper cites 2023 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2023 , eprint=

Reference 55

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source=arxiv_source observed=2026-08-01T09:42:59.180051Z digest=sha256:67d30857dc6212cab542d8807e4db94ac53555e558f68bd0655862fac2a2d2d0

Observation 80372b9a-4a07-4bed-a3d3-e8175d9e8026 · outbound

This paper cites RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies

Reference 56

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no resolver link, observed 2026-08-01T09:42:59.279636Z

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source=arxiv_source observed=2026-08-01T09:42:59.279636Z digest=sha256:9e4637da53a8bbde3f8a06929c08bae493b675b6000185087421f62a95b39c65

Observation 3a84247b-02e3-43bd-8dce-c8a96d1a9a09 · outbound

This paper cites RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey RoboTwin 2.0: A Scalable Data Generator and Benchmark with Strong Domain Randomization for Robust Bimanual Robotic Manipulation

Reference 57

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source=arxiv_source observed=2026-08-01T09:42:59.379470Z digest=sha256:e893edc5f9987a7d30379a5bb1325664e5d9a3cc4b17ad9a0ea264c62424f7e0

Observation 912cbfba-dbc2-4084-b964-8b8fb4bf09a9 · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 58

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no resolver link, observed 2026-08-01T09:42:59.488148Z

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source=arxiv_source observed=2026-08-01T09:42:59.488148Z digest=sha256:274eafa7833b638e7f4b7d7421a8b2c0fcef2b661b17a1c64e2646edf25340a0

Observation 45c6aea9-999d-4054-ab91-8ee005b4ea0c · outbound

This paper cites 2026 , eprint=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey 2026 , eprint=

Reference 59

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source=arxiv_source observed=2026-08-01T09:42:59.621689Z digest=sha256:5249977984afc484017cb0a1d3e65721afb87741aefe9581590ddc7576748226

Observation 4193009f-e714-4c36-9a82-e3efec87e1d6 · outbound

This paper cites ArXiv , year=.

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey ArXiv , year=

Reference 60

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no resolver link, observed 2026-08-01T09:42:59.722920Z

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source=arxiv_source observed=2026-08-01T09:42:59.722920Z digest=sha256:95f21d610826ce1f681ddce62c65064d68e44b761c47ca6a6c39b68012cacf86

Pith citing papers

No inbound Pith citation observations are available.