Paper Citation Record · LEDGER

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations

As of 22 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2412.20226.

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

pith.paper-citation-record.v1
2412.20226 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:29:35.887918Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

33 of 33 outbound references displayed

verified exact1
verified fuzzy25
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de052547-a53d-4bd5-a80f-d503ce4a8b3d · outbound

This paper cites Survey of deep reinforcement learning for motion planning of autonomous vehicles,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Survey of deep reinforcement learning for motion planning of autonomous vehicles,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.465231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c223f777-f886-4116-a333-f5b76a38d528 · outbound

This paper cites Learning to throw with a handful of samples using decision transformers,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Learning to throw with a handful of samples using decision transformers,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.403345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e77ec253-8384-4db1-86e8-32e44b97d749 · outbound

This paper cites Recent advances in robot learning from demonstration,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Recent advances in robot learning from demonstration,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.371241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b0894ca-bcbc-4a0c-a134-c3eefbcb9c68 · outbound

This paper cites MimicPlay: Long-horizon imitation learning by watching human play,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations MimicPlay: Long-horizon imitation learning by watching human play,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.312347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 428d9b82-e70d-44a0-b996-14fd16376925 · outbound

This paper cites Intelligent mobile robot navigation in unknown and complex environment using reinforcement learning technique,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Intelligent mobile robot navigation in unknown and complex environment using reinforcement learning technique,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.248391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d088d56c-e366-4056-928c-9d01627627c2 · outbound

This paper cites A comprehensive study for robot navigation techniques,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations A comprehensive study for robot navigation techniques,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.204108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 13b392c8-81db-4291-bedb-9fd4d323c207 · outbound

This paper cites Using occupancy grids for mobile robot perception and navigation,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Using occupancy grids for mobile robot perception and navigation,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.553417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d134343b-f3f0-49d3-b1eb-ead98f2df43e · outbound

This paper cites OctoMap: An efficient probabilistic 3d mapping framework based on octrees,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations OctoMap: An efficient probabilistic 3d mapping framework based on octrees,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:37.060458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f023ad11-d136-44c4-beaa-5b0e978b3470 · outbound

This paper cites Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.569801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7a254b9-1e81-49c5-a4c1-1243475aa9fd · outbound

This paper cites an unresolved cited work.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.577400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9478cbdf-d8c2-4794-aff9-f19b5bf18952 · outbound

This paper cites Information-theoretic exploration with bayesian optimization,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Information-theoretic exploration with bayesian optimization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.984460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02cd4fcc-c490-46c6-a8f5-22467281c197 · outbound

This paper cites A frontier-based approach for autonomous exploration,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations A frontier-based approach for autonomous exploration,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.946500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0fbf7a0e-e0c6-41ae-87a5-5ad6459bcb42 · outbound

This paper cites Thrun, W.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Thrun, W

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.619043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b151ac75-1878-41f2-9f96-2f19721ae986 · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Sampling-based algorithms for optimal motion planning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.627893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67ace662-798d-492d-87e9-510b09261254 · outbound

This paper cites Motion planning and control for mobile robot navigation using machine learning: a survey,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Motion planning and control for mobile robot navigation using machine learning: a survey,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.649410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a91ab6c5-402f-4aa1-ba48-0ce54a65ba18 · outbound

This paper cites LeLaN: Learning a language-conditioned navigation policy from in- the-wild video,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations LeLaN: Learning a language-conditioned navigation policy from in- the-wild video,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.793618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 53b13a35-9151-49fa-b8bd-800127036141 · outbound

This paper cites Learning robotic navigation from experience: principles, methods and recent results,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Learning robotic navigation from experience: principles, methods and recent results,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.747663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 93ca4877-f5d2-4a7e-bb34-56406ee3494d · outbound

This paper cites Gervet, S.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Gervet, S

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.711115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6df66df8-37b6-47f8-b5ef-ce9764a34ebd · outbound

This paper cites Improved deep reinforcement learning “Navigating to objects in the real world,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Improved deep reinforcement learning “Navigating to objects in the real world,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.676052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7bd23c77-721b-469c-9584-e59dbffccb00 · outbound

This paper cites Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Universal manipulation interface: In-the-wild robot teaching without in-the-wild robots,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.635063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 25ff05b9-11c3-42c1-84b7-dae2cc45cad1 · outbound

This paper cites Goal-conditioned imitation learning,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Goal-conditioned imitation learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.555352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55e41817-2a78-4011-bf18-a13732fb4ea6 · outbound

This paper cites Survey of learning-based approaches for robotic in-hand manipulation,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Survey of learning-based approaches for robotic in-hand manipulation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.499743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6bbc9193-d65d-4249-9102-3c9068e8a3fb · outbound

This paper cites Improving autonomous robotic navigation using imitation learning,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Improving autonomous robotic navigation using imitation learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.461272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6f9dd3bf-806e-4e85-a0a0-334c255e2124 · outbound

This paper cites Coarse-to-fine imitation learning: Robot manipulation from a single demonstration,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Coarse-to-fine imitation learning: Robot manipulation from a single demonstration,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.429838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3bd5759-7eee-480f-8c19-e151a9e7231e · outbound

This paper cites GNM: A general navigation model to drive any robot,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations GNM: A general navigation model to drive any robot,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.378589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4ecd6c16-abd0-4230-985d-b9399592941f · outbound

This paper cites ViNT: A foundation model for visual navigation,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations ViNT: A foundation model for visual navigation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.326361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2841e029-c757-45b3-9d38-f7c309b001bf · outbound

This paper cites NoMaD: Goal masked diffusion policies for navigation and exploration,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations NoMaD: Goal masked diffusion policies for navigation and exploration,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.288079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 547bf1a0-cdd8-4d43-9b32-e39b5760f713 · outbound

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

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T23:29:35.824244Z

Source-reported events for the cited work

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Observation 296a19e8-499b-46f8-9d59-d84baadefa3c · outbound

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

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Goal conditioned imitation learning using score-based diffusion policies,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.226118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 21c96f73-cc99-4d47-8196-af9393e60dc8 · outbound

This paper cites UMI on legs: Making manipulation policies mobile with manipulation-centric whole-body controllers,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations UMI on legs: Making manipulation policies mobile with manipulation-centric whole-body controllers,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.186258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 84363cf7-1926-4221-b520-ac4ace7c31ac · outbound

This paper cites LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations LDP: A Local Diffusion Planner for Efficient Robot Navigation and Collision Avoidance

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-10T23:29:36.012513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f517e857-6b69-4239-ba34-86a9ef3e98cd · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations U-Net: Convolutional networks for biomedical image segmentation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.124873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 29a087ca-77f1-446e-8db1-84792bbe7717 · outbound

This paper cites Efficientnet: Rethinking model scaling for con- volutional neural networks,.

Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations Efficientnet: Rethinking model scaling for con- volutional neural networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:29:36.056466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.