Paper Citation Record · LEDGER

Automating Potential-based Reward Shaping with Vision Language Model Guidance

As of 17 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2606.27180.

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

pith.paper-citation-record.v1
2606.27180 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:00:24.832807Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:30:33.412241Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-12T00:30:33.891880Z

Reference resolution

45 of 45 outbound references displayed

verified exact4
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5a90018-f627-4a2d-8490-71addaefe7c7 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the 41st International Conference on Machine Learning , articleno =

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6981270d-cbc8-481b-a0f7-da6af31aac9d · outbound

This paper cites Deep Reinforcement Learning from Human Preferences , url =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Deep Reinforcement Learning from Human Preferences , url =

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Unavailable: canonical work link unavailable.

Observation 23be9d0d-b064-4325-ab50-958c4c30b540 · outbound

This paper cites A Survey of Preference-Based Reinforcement Learning Methods , journal =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance A Survey of Preference-Based Reinforcement Learning Methods , journal =

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation b1ae4516-c97a-481a-af77-bb406bcd624c · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , pages =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the 38th International Conference on Machine Learning , pages =

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 91273504-5c0b-465b-8ed0-93d367baa1ce · outbound

This paper cites 2024 , journal=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance 2024 , journal=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

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Observation 507c7217-fbd6-4830-a670-b58b2b84591f · outbound

This paper cites Qwen3 Technical Report.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Qwen3 Technical Report

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T13:39:51.077061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f2a50467-37fc-4ff8-8496-081b61827013 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the Conference on Robot Learning , pages =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

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Observation 619cd848-645e-45ef-9a86-fcc2a7408db6 · outbound

This paper cites Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:39:51.080320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9326da5-3079-404c-8930-155851c2dbd2 · outbound

This paper cites 2020 , eprint=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance 2020 , eprint=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation a761fe09-d5e9-477a-8dcc-baadca97aec1 · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , pages =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the 35th International Conference on Machine Learning , pages =

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 568a160a-c8c9-406a-a55c-0cfb24db285e · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance International Conference on Learning Representations , year=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 3b361828-4e66-4f61-a989-0fd6e44cf6b6 · outbound

This paper cites Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Navigating Noisy Feedback: Enhancing Reinforcement Learning with Error-Prone Language Models

Reference 12

Resolution: verified exact; doi, observed 2026-06-26T05:08:59.882052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ec931f19-77bc-4c06-98e6-31b64e5b2350 · outbound

This paper cites Second Agent Learning in Open-Endedness Workshop , year=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Second Agent Learning in Open-Endedness Workshop , year=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation a184794b-8381-46d1-a956-b7522a02836f · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance The Thirteenth International Conference on Learning Representations , year=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 8619dc0a-1e57-4ddb-b9e9-37e600f60c77 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance Forty-second International Conference on Machine Learning , year=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ce25427-aa6e-4fe4-af0e-4b484e5a3d2c · outbound

This paper cites an unresolved cited work.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d37a5270-4a73-48a5-81ad-dcfbd3fb0fab · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , month =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 5f6f4cef-035a-4d35-8bc7-192c8eb364b3 · outbound

This paper cites The method of paired comparisons , author=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance The method of paired comparisons , author=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

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Observation 7693c820-ee64-4f6d-858d-252be6415899 · outbound

This paper cites Learning to Drive a Bicycle Using Reinforcement Learning and Shaping , year =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Learning to Drive a Bicycle Using Reinforcement Learning and Shaping , year =

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43f57327-18ea-4bb6-a865-4c1829936b7b · outbound

This paper cites Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping , url =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping , url =

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

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Observation c26c4d52-df70-46d4-b757-921c16f9d546 · outbound

This paper cites Self-Supervised Online Reward Shaping in Sparse-Reward Environments , year=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Self-Supervised Online Reward Shaping in Sparse-Reward Environments , year=

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df8d470-7027-4d1f-aa4d-e0de242dd854 · outbound

This paper cites Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards , url =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Exploration-Guided Reward Shaping for Reinforcement Learning under Sparse Rewards , url =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e120fe-9577-4797-8c9f-c0a6c00aa4c5 · outbound

This paper cites Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards , url =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards , url =

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Unavailable: canonical work link unavailable.

Observation a23f3c94-5d39-4a6e-80ca-29feec58832f · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance The Twelfth International Conference on Learning Representations , year=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Unavailable: canonical work link unavailable.

Observation fd52d7c2-a247-4c49-bd5c-1d16c946ba82 · outbound

This paper cites Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:39:51.073951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a88b0f3f-f24b-4c11-8718-6619ae567290 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance International Conference on Machine Learning , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d45ac87-37cd-4c73-b645-7a5a8785d060 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance International Conference on Machine Learning , pages=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Unavailable: canonical work link unavailable.

Observation de7751f6-c5ec-46d1-a46c-398ca12c479c · outbound

This paper cites 2023 , editor =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance 2023 , editor =

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99bcef9c-aaf9-4e29-be44-215ed3fe687b · outbound

This paper cites RoboCLIP: one demonstration is enough to learn robot policies , year =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance RoboCLIP: one demonstration is enough to learn robot policies , year =

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 1d2ab594-3d93-47ae-a6b7-a7d8f4f522b6 · outbound

This paper cites NeurIPS 2023 Foundation Models for Decision Making Workshop , year=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance NeurIPS 2023 Foundation Models for Decision Making Workshop , year=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 790d57bd-0f69-43d0-baf0-34a365e02681 · outbound

This paper cites 2023 , eprint=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance 2023 , eprint=

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 1fe2e8a9-c4f5-4739-bc37-14f338b338dd · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of The 4th Annual Learning for Dynamics and Control Conference , pages =

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 6dbe6085-588d-4ec2-b3ca-f19e83b753e2 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance and Harada, Daishi and Russell, Stuart J

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 445c2649-885a-4bcf-988e-8065fd3e5f06 · outbound

This paper cites International Conference on Autonomous Agents and Multiagent Systems,.

Automating Potential-based Reward Shaping with Vision Language Model Guidance International Conference on Autonomous Agents and Multiagent Systems,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

Source-reported events for the cited work

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Observation 04eae9d2-cbd7-4400-a6a0-4de99bb5443f · outbound

This paper cites Reward Shaping in Episodic Reinforcement Learning , year =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Reward Shaping in Episodic Reinforcement Learning , year =

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 93b6797b-16f0-426a-a403-1bd2ffc41b98 · outbound

This paper cites Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning , year=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning , year=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 32039695-5958-4094-8a7d-25c761da30a6 · outbound

This paper cites Using incomplete and incorrect plans to shape reinforcement learning in long-sequence sparse-reward tasks , journal=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Using incomplete and incorrect plans to shape reinforcement learning in long-sequence sparse-reward tasks , journal=

Reference 37

Resolution: verified exact; doi, observed 2026-06-26T05:08:59.878566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b89ab5e7-f2c1-450d-a43e-701396f875f7 · outbound

This paper cites Improving the Effectiveness of Potential-based Reward Shaping in Reinforcement Learning , year =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Improving the Effectiveness of Potential-based Reward Shaping in Reinforcement Learning , year =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation c50616e0-ff59-4aa1-8693-7b288e79c834 · outbound

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

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the AAAI Conference on Artificial Intelligence , author=

Reference 39

Resolution: verified exact; doi, observed 2026-06-26T05:08:59.880833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fd4a9fb3-ec46-48da-9aba-7e05cf3c5a07 · outbound

This paper cites A framework for flexibly guiding learning agents , journal =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance A framework for flexibly guiding learning agents , journal =

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 1fa4428f-126d-4293-99ef-702030378617 · outbound

This paper cites and Chernova, Sonia , title =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance and Chernova, Sonia , title =

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 0059bf1e-6a67-4d99-b79e-f5a3e533058d · outbound

This paper cites Lee, Matthew Tan, Yuke Zhu, and Jeannette Bohg.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Lee, Matthew Tan, Yuke Zhu, and Jeannette Bohg

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T05:08:59.879962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e9d83790-eaf5-480d-bd1c-543495c8dbd6 · outbound

This paper cites and Now\'.

Automating Potential-based Reward Shaping with Vision Language Model Guidance and Now\'

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation b29128ee-8241-4c6b-812b-f6f11537c1ae · outbound

This paper cites Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems , pages =.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems , pages =

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Observation 07dd6bc2-319e-4be8-bc45-158f495789ed · outbound

This paper cites Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models , year=.

Automating Potential-based Reward Shaping with Vision Language Model Guidance Improving Sample Efficiency of Reinforcement Learning With Background Knowledge From Large Language Models , year=

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-26T05:00:24.832807Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation 0959321e-ffc7-4aa6-a979-88646145f898 · inbound

A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning cites this paper.

A Unified Framework for Dynamic Reward Shaping in Reinforcement Learning Automating Potential-based Reward Shaping with Vision Language Model Guidance

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-12T00:30:33.897433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.