Paper Citation Record · LEDGER

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback

As of 11 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2502.07645.

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

pith.paper-citation-record.v1
2502.07645 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:33:10.067648Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T23:26:21.964199Z

Reference resolution

58 of 58 outbound references displayed

verified exact7
verified fuzzy51
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 964cd3fd-39e8-40e1-9d66-6a0c487874bc · outbound

This paper cites Implicit behavioral cloning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Implicit behavioral cloning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.108867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b5e9a2a9-18f6-4870-ae7e-ae3248b98a45 · outbound

This paper cites An algorithmic perspective on imitation learning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback An algorithmic perspective on imitation learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.090664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7a2b61ae-21ad-462f-b6eb-5bb707a46b7b · outbound

This paper cites Re- cent advances in robot learning from demonstration.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Re- cent advances in robot learning from demonstration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.112086Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6e52e327-5476-42bf-a208-0babcff3e854 · outbound

This paper cites A survey of imitation learning: Algorithms, recent developments, and challenges.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback A survey of imitation learning: Algorithms, recent developments, and challenges

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.122768Z

Source-reported events for the cited work

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Observation 4d8cd410-1bf0-4a88-b347-4ce66a16bb1c · outbound

This paper cites A survey of communicating robot learning during human-robot in- teraction.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback A survey of communicating robot learning during human-robot in- teraction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.141544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0102c90-28b6-4948-9b31-15004c8c25a9 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Diffusion policy: Visuomotor policy learning via action diffusion

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.098074Z

Source-reported events for the cited work

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Observation eb8c8d1e-5f02-44e9-b020-6b4a09b48835 · outbound

This paper cites Conditional Energy-Based Models for Implicit Policies: The Gap between Theory and Practice.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Conditional Energy-Based Models for Implicit Policies: The Gap between Theory and Practice

Reference 7

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Source-reported events for the cited work

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Observation 243dd2ad-2b1a-4ea1-b287-2df0d0d59de0 · outbound

This paper cites Goal conditioned imitation learning using score-based diffusion policies.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Goal conditioned imitation learning using score-based diffusion policies

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.071851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc40ee59-04d6-4b29-95e2-0fbb9556b9dd · outbound

This paper cites Fast and Robust Visuomotor Riemannian Flow Matching Policy.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Fast and Robust Visuomotor Riemannian Flow Matching Policy

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.293197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 42588c92-d57d-4c93-ad6d-1b9097a961df · outbound

This paper cites Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.288216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e668243f-4b19-4a67-96b7-3299202612fe · outbound

This paper cites Interactive imitation learning in robotics: A survey.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Interactive imitation learning in robotics: A survey

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.066606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6466329d-8bb4-4ef0-8309-3849e1621ecd · outbound

This paper cites Reinforcement learning of motor skills using policy search and human corrective advice.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Reinforcement learning of motor skills using policy search and human corrective advice

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.083820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ebb5835e-3f67-46bc-9850-5a563261e347 · outbound

This paper cites Contin- uous control for high-dimensional state spaces: An interactive learning approach.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Contin- uous control for high-dimensional state spaces: An interactive learning approach

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.053331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be6b9431-5d04-47dc-9664-42a41742c599 · outbound

This paper cites An interactive framework for learning continuous actions policies based on corrective feedback.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback An interactive framework for learning continuous actions policies based on corrective feedback

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.058003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ecabbe74-4cd0-461a-8196-136718e51157 · outbound

This paper cites Implicit generation and modeling with energy based models.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Implicit generation and modeling with energy based models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.039406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation debec787-66d9-467d-8f01-8681f52cba43 · outbound

This paper cites Towards tight convex relaxations for contact- rich manipulation.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Towards tight convex relaxations for contact- rich manipulation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.030105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c1112610-36d7-4848-9694-c19430886e79 · outbound

This paper cites How to Train Your Energy-Based Models.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback How to Train Your Energy-Based Models

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.282133Z

Source-reported events for the cited work

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Observation ddb54be8-88f9-4e3d-8291-1ec9026aea20 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Deep unsupervised learning using nonequilibrium thermodynamics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.033861Z

Source-reported events for the cited work

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Observation 092d489a-dede-47e1-ae9d-c139c4ed2cb0 · outbound

This paper cites Denoising diffusion probabilistic models.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Denoising diffusion probabilistic models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.129412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79639212-d07a-478f-a7a7-752d95b8c62f · outbound

This paper cites Score-based generative modeling through stochastic differ- ential equations.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Score-based generative modeling through stochastic differ- ential equations

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.075677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 05895d16-1754-4783-8f62-238ec16da166 · outbound

This paper cites Energy-based contact planning under uncertainty for robot air hockey.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Energy-based contact planning under uncertainty for robot air hockey

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.087160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c1e222f6-0be0-4d4a-b2fe-e7c0d0ccdaa5 · outbound

This paper cites Using im- plicit behavior cloning and dynamic movement primitive to facilitate reinforcement learning for robot motion planning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Using im- plicit behavior cloning and dynamic movement primitive to facilitate reinforcement learning for robot motion planning

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.094345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99896726-cd49-4fc8-806e-7a39687baf45 · outbound

This paper cites Iifl: Implicit interactive fleet learning from heterogeneous human supervisors.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Iifl: Implicit interactive fleet learning from heterogeneous human supervisors

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.015597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7e26d9bd-6fed-4c3b-aa50-f3694479ca96 · outbound

This paper cites Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:02:30.276465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4f779a3f-4ebb-4480-b4fc-6a46e56b45b5 · outbound

This paper cites Deep reinforcement learning from human preferences.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Deep reinforcement learning from human preferences

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.985882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5ad75fd2-b316-49c3-aff0-73893d665a30 · outbound

This paper cites Learning preferences for manipulation tasks from online coactive feedback.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Learning preferences for manipulation tasks from online coactive feedback

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.001162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b3209018-ef3b-478d-a0cb-f2e5751e542c · outbound

This paper cites Pebble: Feedback-efficient interac- tive reinforcement learning via relabeling experience and unsupervised pre-training.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Pebble: Feedback-efficient interac- tive reinforcement learning via relabeling experience and unsupervised pre-training

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.959128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a0ec34fc-fedf-4edd-8ba7-b99e7ecdb6da · outbound

This paper cites Learning to summarize with human feedback.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Learning to summarize with human feedback

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.978504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65cfb03f-9577-43b4-a7d9-3b67403c2e53 · outbound

This paper cites Trajectory improvement and reward learning from comparative language feedback.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Trajectory improvement and reward learning from comparative language feedback

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.993744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e222255c-11a0-47dc-bb8e-15530259d435 · outbound

This paper cites Contrastive preference learning: Learning from human feedback without reinforcement learning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Contrastive preference learning: Learning from human feedback without reinforcement learning

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.012334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c9c8b3d-1676-40c6-a291-6ed798be7e88 · outbound

This paper cites Calibrating sequence likelihood improves conditional language generation.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Calibrating sequence likelihood improves conditional language generation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.018976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 73525543-999e-45bc-bc28-8bbc904b8cdf · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Direct preference optimization: Your language model is secretly a reward model

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.126075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f2335496-a74b-43c1-81f4-d65f5c6190e9 · outbound

This paper cites Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.997487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9c171dd-bafe-4655-91d9-343dd65282a9 · outbound

This paper cites Batch active learning of reward functions from human preferences.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Batch active learning of reward functions from human preferences

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.005152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a06d8981-b0ff-42b5-b9b7-568aa68d52f4 · outbound

This paper cites Hindsight PRIORs for reward learning from human preferences.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Hindsight PRIORs for reward learning from human preferences

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.022529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation da478840-5636-4894-bcc8-cd74dda27ed3 · outbound

This paper cites Learning robot objectives from physical human interaction.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Learning robot objectives from physical human interaction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.008831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64de3116-b100-45b6-96a0-503bedadf55a · outbound

This paper cites Including uncertainty when learning from human corrections.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Including uncertainty when learning from human corrections

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.982276Z

Source-reported events for the cited work

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Observation 74b451cf-77e4-4641-a2d3-98b5d88d4b35 · outbound

This paper cites Learning from human directional corrections.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Learning from human directional corrections

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.975038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e17b6781-8eb2-4ab9-bb3a-92467feb6b4e · outbound

This paper cites Interactive learning with corrective feedback for policies based on deep neural networks.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Interactive learning with corrective feedback for policies based on deep neural networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.119290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 98b8ad1d-1520-4a8c-b0f7-8caa720d7426 · outbound

This paper cites Towards corrective deep imitation learning in data intensive environments: Helping robots to learn faster by leveraging human knowledge.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Towards corrective deep imitation learning in data intensive environments: Helping robots to learn faster by leveraging human knowledge

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.137589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d2477d9-1e3f-4768-a24a-2503d7cee6d5 · outbound

This paper cites Interactive imitation learning in 18 state-space.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Interactive imitation learning in 18 state-space

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.080071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f81d2b3-d00b-4db0-90e2-507acbb91217 · outbound

This paper cites Learning from active human involvement through proxy value propagation.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Learning from active human involvement through proxy value propagation

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.990001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation aa954b4c-ffd8-40f6-a8d5-34e68021ccc2 · outbound

This paper cites Reinforcement learning with deep energy-based policies.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Reinforcement learning with deep energy-based policies

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.967232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25705914-2d45-4510-aa97-8b2063ef7060 · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.963113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 55c9025f-9c63-4bca-a578-251354d22685 · outbound

This paper cites Aligning human intent from imperfect demonstrations with confidence-based inverse soft-q learning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Aligning human intent from imperfect demonstrations with confidence-based inverse soft-q learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.062479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3d2a8f9a-4dff-4cf4-812c-6bf2d94286fc · outbound

This paper cites Bayesian reparameteri- zation of reward-conditioned reinforcement learning with energy-based models.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Bayesian reparameteri- zation of reward-conditioned reinforcement learning with energy-based models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.133042Z

Source-reported events for the cited work

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Observation e5dbdc9a-fb2c-4090-9407-851c218d5b01 · outbound

This paper cites Inverse preference learning: Preference-based rl without a reward function.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Inverse preference learning: Preference-based rl without a reward function

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.115367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4a03b651-0daa-4acb-80aa-be86c190394a · outbound

This paper cites Learning from interventions: Human-robot interaction as both explicit and implicit feedback.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Learning from interventions: Human-robot interaction as both explicit and implicit feedback

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.105462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1f037782-f950-4156-a6d3-9ed14b01aa8d · outbound

This paper cites Flow contrastive estimation of energy-based models.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Flow contrastive estimation of energy-based models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.971063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 770ffb4f-80b6-4a50-8f1c-a06bcd9a1c38 · outbound

This paper cites Hard negative mixing for contrastive learning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Hard negative mixing for contrastive learning

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.026134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a738eff6-1346-4475-adc3-bae0ff835626 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Representation Learning with Contrastive Predictive Coding

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:02:30.270965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c0a7a3bf-31e8-46b7-aa1d-4129418c2e1a · outbound

This paper cites Revisiting energy based models as policies: Ranking noise contrastive estimation and interpolating energy models.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Revisiting energy based models as policies: Ranking noise contrastive estimation and interpolating energy models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.940238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9190a2c3-5710-4598-92e9-5f3212d7a73d · outbound

This paper cites A reduction of imitation learn- ing and structured prediction to no-regret online learning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback A reduction of imitation learn- ing and structured prediction to no-regret online learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.955193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7f986c3d-15de-40c1-b223-7a2a946e923f · outbound

This paper cites Hg- dagger: Interactive imitation learning with human experts.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Hg- dagger: Interactive imitation learning with human experts

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.950848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c93ad7d-28c3-4f4e-b295-26d68cdb257a · outbound

This paper cites Ambient diffusion: Learning clean distributions from corrupted data.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Ambient diffusion: Learning clean distributions from corrupted data

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:30.944165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 94a20fcf-5862-414a-9899-71cf91debbf9 · outbound

This paper cites robosuite: A Modular Simulation Framework and Benchmark for Robot Learning.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:02:30.265739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3f9023d4-a2b2-4504-89e5-5742e15f9c2a · outbound

This paper cites Interactive learning of temporal features for control: Shap- ing policies and state representations from human feedback.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Interactive learning of temporal features for control: Shap- ing policies and state representations from human feedback

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.101640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3b05a8d8-7cfc-482d-9554-525e7165c0c5 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback Bayesian learning via stochastic gradient langevin dynamics

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:02:31.144762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation b9f6d8ea-b5a9-4042-893e-8e764753b7b3 · inbound

Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory cites this paper.

Wavelet Policy: Imitation Learning in the Scale Domain with World Prior Memory From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T20:52:06.320648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8ab9caa0-8478-4c6a-891e-f52a3913ffd6 · inbound

CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation cites this paper.

CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T05:33:10.067648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a4d691f-7451-45c8-9af4-c098c2b28288 · inbound

Set-Supervised Diffusion Policy: Learning Action-Chunking Diffusion through Corrections cites this paper.

Set-Supervised Diffusion Policy: Learning Action-Chunking Diffusion through Corrections From Action Labels to Sets: Rethinking Action Supervision for Imitation Learning from Corrective Feedback

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-01T23:26:21.966351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.