Paper Citation Record · LEDGER

A Model-Based Approach to Imitation Learning through Multi-Step Predictions

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2504.13413.

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

pith.paper-citation-record.v1
2504.13413 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:16:04.095696Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy12
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c10c6b9a-1c0f-411c-99bc-8d0f1d095fb7 · outbound

This paper cites Agile Autonomous Driving using End-to-End Deep Imitation Learning.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Agile Autonomous Driving using End-to-End Deep Imitation Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:03.989212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df4b3f4a-65c4-4f5b-b075-013bce654afd · outbound

This paper cites Is imitation learning the route to humanoid robots?.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Is imitation learning the route to humanoid robots?

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:03.996753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdaf57b1-783e-45ba-bc26-35e17128de04 · outbound

This paper cites Survey of imitation learning for robotic manipulation,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Survey of imitation learning for robotic manipulation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.003207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f504de7c-6017-4959-8a84-57eac1903189 · outbound

This paper cites Robot learning towards smart robotic manufacturing: A review,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Robot learning towards smart robotic manufacturing: A review,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.444229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f7ab79b8-7bb0-4a17-96e4-8a716bc9b818 · outbound

This paper cites An algorithmic perspective on imitation learning,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions An algorithmic perspective on imitation learning,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.014484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ba91bea-ff59-4974-8a30-06aee81a5e74 · outbound

This paper cites Imitation learning: A survey of learning methods,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Imitation learning: A survey of learning methods,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.019990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fd4734c-b7c5-4714-b97d-15998500ddfb · outbound

This paper cites Efficient reductions for imitation learning,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Efficient reductions for imitation learning,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.025856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd4ed4bd-1bf6-4684-a834-b3203a660d6e · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Alvinn: An autonomous land vehicle in a neural network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.390744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32ff7b73-4399-463a-a07d-8679bd6e9a4c · outbound

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

A Model-Based Approach to Imitation Learning through Multi-Step Predictions A reduction of imitation learning and structured prediction to no-regret online learning,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.035488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e03b2d7b-03c5-45d4-a04f-d22625d24f5b · outbound

This paper cites Dart: Noise injection for robust imitation learning,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Dart: Noise injection for robust imitation learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.355198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a6c4deb-8c52-49cd-9adc-dcca8d9d3b38 · outbound

This paper cites Generative adversarial imitation learning,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Generative adversarial imitation learning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.336480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f602ffb6-89d8-49bb-ba9a-5a34973c1005 · outbound

This paper cites Tasil: Taylor series imitation learning,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Tasil: Taylor series imitation learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.316601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4c7986d9-2a2e-4ba0-9378-2557622281ef · outbound

This paper cites Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Is Behavior Cloning All You Need? Understanding Horizon in Imitation Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.056669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b65c0da2-688c-4079-acd4-c1d611ccb9d9 · outbound

This paper cites Provable guarantees for generative behavior cloning: Bridging low- level stability and high-level behavior,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Provable guarantees for generative behavior cloning: Bridging low- level stability and high-level behavior,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.294043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ef10bfc-5d0a-41fc-a7d1-e52562430fb2 · outbound

This paper cites DIDA: Denoised Imitation Learning based on Domain Adaptation.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions DIDA: Denoised Imitation Learning based on Domain Adaptation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:16:04.066615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f05c586-4fee-41e0-8fb8-5d33bb4bab82 · outbound

This paper cites Usn: A robust imitation learning method against diverse action noise,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Usn: A robust imitation learning method against diverse action noise,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.270800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5814fb66-0efd-4903-8376-43c09a8eb67c · outbound

This paper cites Model-based imitation learning by probabilistic trajectory matching,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Model-based imitation learning by probabilistic trajectory matching,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.252939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e54eea71-1fbd-4293-a595-698556008429 · outbound

This paper cites Model-based imitation learning for urban driving,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Model-based imitation learning for urban driving,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.236270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c551a66-f97e-45bb-8889-7c559ff45cd5 · outbound

This paper cites Model predictive control,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Model predictive control,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.219400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30cc5a6a-93d0-4e6d-8717-6e3877107a90 · outbound

This paper cites A model-based approach to imitation learning through multi-step predictions,.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions A model-based approach to imitation learning through multi-step predictions,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.203441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2487808-f8ac-413d-81f3-aca0731836ce · outbound

This paper cites Notice that the noise ηt−K⋆Gτ−1ξt is independent of the state xt and that the covariance of the noise is Ση +K⋆Gτ−1ΣξG⊤ τ−1K⋆⊤.

A Model-Based Approach to Imitation Learning through Multi-Step Predictions Notice that the noise ηt−K⋆Gτ−1ξt is independent of the state xt and that the covariance of the noise is Ση +K⋆Gτ−1ΣξG⊤ τ−1K⋆⊤

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:16:04.184237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.