Paper Citation Record · LEDGER

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?

As of 18 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2412.13662.

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

pith.paper-citation-record.v1
2412.13662 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:59:13.709099Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:34:41.053725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:03:48.642678Z

Reference resolution

48 of 48 outbound references displayed

verified exact0
verified fuzzy4
unresolved43
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5ace8c56-7be9-45b5-9c62-4a659618414a · outbound

This paper cites , " * write output.state after.block = add.period write newline.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.545402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c351590-0d5f-47ae-912f-e75a224b7dbf · outbound

This paper cites write newline.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.549886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b3b76d6-1b28-4846-b531-80a5486cfbc0 · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Solving Rubik's Cube with a Robot Hand

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.554015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c27aed0d-09d1-47e0-bd6b-9c28452561d7 · outbound

This paper cites M.; Baker, B.; Chociej, M.; Jozefowicz, R.; McGrew, B.; Pachocki, J.; Petron, A.; Plappert, M.; Powell, G.; Ray, A.; et al.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? M.; Baker, B.; Chociej, M.; Jozefowicz, R.; McGrew, B.; Pachocki, J.; Petron, A.; Plappert, M.; Powell, G.; Ray, A.; et al

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.558800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68897725-5b63-4771-ae7f-4ba02958c816 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.162840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 734a99d1-c00d-4e22-bb81-bc4b44c08ce6 · outbound

This paper cites a henb \.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? a henb \

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:59:14.152491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c2bac30-73e1-4b26-ade2-55599016bd2c · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.142658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fbf14413-b92c-4036-8a00-eea48d779e6c · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.133786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation cc506e34-4d86-4fb2-8cff-ccc753cc53c2 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.123767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dc9973a5-01a0-473d-929b-c3fb8944deda · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.581830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e6436a-c588-4a44-a6aa-0bb5dbcf90c6 · outbound

This paper cites Multi-skill Mobile Manipulation for Object Rearrangement.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Multi-skill Mobile Manipulation for Object Rearrangement

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.585296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672bcd59-2abf-45f7-a2fc-c2be9666a460 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.108117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8acde60-d2f3-4992-9d9f-60b7d63d07df · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.592853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f176129-b215-4958-bb00-a55556b84cf1 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Dream to Control: Learning Behaviors by Latent Imagination

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.595995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06846b4e-61d9-4624-88f4-bbff923bd784 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.599488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10efb08c-e0b4-44a8-a2a1-da525e2b97c6 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.085931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1ef51db8-183e-4fc4-b89f-8cb4d0e77df4 · outbound

This paper cites Mastering Atari with Discrete World Models.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Mastering Atari with Discrete World Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.604994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849bc0a6-5669-4966-b30f-cba66282de56 · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Temporal Difference Learning for Model Predictive Control

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.608629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58c68a5f-8543-4199-8787-8b74e8a63477 · outbound

This paper cites Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Autonomous Driving with Deep Reinforcement Learning in CARLA Simulation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.612207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e989014f-07b0-46d5-b950-3b7d51428ab5 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.076497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 982d36cf-855f-4790-8c0e-e194d8bf6b88 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.067283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b9b2fca-4ebe-413c-861d-b4af0ecdca37 · outbound

This paper cites Proximal Policy Optimization Algorithms.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Proximal Policy Optimization Algorithms

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.622908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d52af63a-5acd-4a6e-bb27-a0f29ef2e198 · outbound

This paper cites Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.626353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72a0c890-f99f-4b03-93d3-485df68ffd1d · outbound

This paper cites D.; Gupta, A.; Ionescu, C.; Borgeaud, S.; Reynolds, M.; Zisserman, A.; and Mnih, V.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? D.; Gupta, A.; Ionescu, C.; Borgeaud, S.; Reynolds, M.; Zisserman, A.; and Mnih, V

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:59:14.056843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e95c936-1324-47f7-926d-9375addb7283 · outbound

This paper cites RMA: Rapid Motor Adaptation for Legged Robots.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? RMA: Rapid Motor Adaptation for Legged Robots

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.633183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b3e8d53-25f1-4cf3-891f-897a9c1e7cbf · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.046127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb256622-01b2-49d1-a714-78c2e4ca7608 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.036135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6cee6915-9267-4213-996f-93a766b7859d · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.025636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c41da68-aac2-4a5c-82d8-df4e515c640a · outbound

This paper cites Continuous control with deep reinforcement learning.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Continuous control with deep reinforcement learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.646715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d3e045-250b-4f18-b993-06ac8ddb7c01 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.014654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5b2671db-9fd3-4f85-ab19-4f5e5a24a75a · outbound

This paper cites Learning to Jump from Pixels.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Learning to Jump from Pixels

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T12:59:13.803315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bbfd5a31-78c9-40eb-865e-315cc09d313d · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:14.004562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 594e9fa2-e290-4c6c-a7a6-5049d6a2a87e · outbound

This paper cites A.; Veness, J.; Bellemare, M.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? A.; Veness, J.; Bellemare, M

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.660406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65479485-a6d4-4c2c-b80c-874322468c70 · outbound

This paper cites ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.663610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef5cbcab-0731-4e44-8993-304f017229cc · outbound

This paper cites V.; Pong, V.; Dalal, M.; Bahl, S.; Lin, S.; and Levine, S.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? V.; Pong, V.; Dalal, M.; Bahl, S.; Lin, S.; and Levine, S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:59:13.987811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ac156282-57ad-4bee-a771-e61fa3f58a9f · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:13.976217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c302df5c-70a2-4404-bc8b-1fd279ef95c8 · outbound

This paper cites Asymmetric Actor Critic for Image-Based Robot Learning.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Asymmetric Actor Critic for Image-Based Robot Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.673928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69691322-7a47-41f2-a269-591103966300 · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.677490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4b50cf-079b-49b0-8c48-bf48eff36482 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.680485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d448f652-4a72-4bb9-a54a-785b4d658368 · outbound

This paper cites RRL: Resnet as representation for Reinforcement Learning.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? RRL: Resnet as representation for Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.683257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e381edea-cec3-4c0c-a915-079ac8594b3c · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:13.960378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 490953d4-a3ea-4484-997c-3c684fa80ea5 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:13.949447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60759d72-b6ed-4eb5-805d-bc931de3135f · outbound

This paper cites DeepMind Control Suite.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? DeepMind Control Suite

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.692376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248f6876-a531-47d6-89dd-0b25a4f320f6 · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:13.939035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 052fd75f-ef3b-4fe4-bfe9-2a2e90587c2d · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:13.928401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ffb4b9d2-5121-484b-8291-ad632fb3537f · outbound

This paper cites an unresolved cited work.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-11T12:59:13.917695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8acf54f0-6c1e-42ca-94f2-c637690dc50e · outbound

This paper cites a henb \.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? a henb \

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:59:13.907101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 090e7dbb-ab93-4dc6-985c-341a52ea2fe1 · outbound

This paper cites Robot Parkour Learning.

When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning? Robot Parkour Learning

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:59:13.709099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation df26891e-72b7-4040-8c34-9873abd65404 · inbound

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient cites this paper.

Efficient On-policy Visual-RL via Stochastic Decoupled Policy Gradient When Should We Prefer State-to-Visual DAgger Over Visual Reinforcement Learning?

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:03:48.643919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.