Paper Citation Record · LEDGER

Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.12943.

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

pith.paper-citation-record.v1
2403.12943 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:51:36.054289Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:16:36.381522Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f54d54d-777c-4a64-807e-a2aad2cf201b · inbound

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation cites this paper.

Gen2Act: Human Video Generation in Novel Scenarios enables Generalizable Robot Manipulation Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:17:01.425532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 10acbeeb-755b-47a5-817c-206621baabf8 · inbound

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos cites this paper.

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T18:51:36.054289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d471f07-c92a-459a-99ea-cfb68383ce45 · inbound

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations cites this paper.

X-Diffusion: Training Diffusion Policies on Cross-Embodiment Human Demonstrations Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:40:33.758626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9822926b-549b-4efd-8df1-35e56a64c3a1 · inbound

MonoDuo: Using One Robot Arm to Learn Bimanual Policies cites this paper.

MonoDuo: Using One Robot Arm to Learn Bimanual Policies Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:23:12.504103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 22f8a5fe-0331-4c21-bd76-2aad2605fb70 · inbound

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling cites this paper.

General Covariant Action Modeling: Constructing Generalized Manifolds via Spatio-Temporal Decoupling Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 180

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:33:27.849572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a5ae3bd1-d1c1-412e-9acc-fa82ad88fd8c · inbound

SynthICL: Scalable In-context Imitation Learning with Synthetic Data cites this paper.

SynthICL: Scalable In-context Imitation Learning with Synthetic Data Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:57:25.875163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bb398fcd-6270-4c20-b429-1c078dc459b9 · inbound

EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning cites this paper.

EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.423229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3dbc32e8-6aaa-4d65-bf1b-f936ee1834f3 · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T21:00:09.584646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 984a43b8-6ba8-40d4-b44f-acfa9417ff3f · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T13:29:51.616019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a3d179df-d985-4252-8814-069ac488d1a8 · inbound

In-Context World Modeling for Robotic Control cites this paper.

In-Context World Modeling for Robotic Control Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T12:05:57.682386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d801c73-4984-416d-8b0f-34d423ede1ed · inbound

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time cites this paper.

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-09T22:16:36.382745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fcbc64e7-e5f8-4c8e-b8bd-09bcc44480ca · inbound

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time cites this paper.

WAM-TTT: Steering World-Action Models by Watching Human Play at Test Time Vid2Robot: End-to-end Video-conditioned Policy Learning with Cross-Attention Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-13T06:48:14.554799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.