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Paper Citation Record · LEDGER

Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2303.01497.

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

pith.paper-citation-record.v1
2303.01497 v1

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 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:06:17.700937Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:37:27.693272Z

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 6783399c-4d37-4272-aabd-d1054b18bf7b · inbound

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own cites this paper.

Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:44:02.605593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T06:40:00.328012Z digest=sha256:b716965ffac61a5403d3e4573db382728fce0ecf4b955545a25178658ab240e3

Observation 5e66e647-3eb5-497e-9e62-6408778c974a · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:48:14.879677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T08:48:14.776754Z digest=sha256:bc7b685fd7e514cd3007b786dfa9c26aa0d5f76b1ecd7780518d7a04d1ae3b1d

Observation 51004983-159e-4419-8dfd-7957663d73f2 · inbound

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World cites this paper.

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T05:06:17.700937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:06:17.700937Z digest=sha256:9be24377520d06d4cd3d2e82e156ae240d4db0eb9d8c9cf27d7fd63f7e6b3192

Observation a27021e8-1882-412c-a423-3f62bdb051dc · inbound

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model cites this paper.

3DFlowAction: Learning Cross-Embodiment Manipulation from 3D Flow World Model Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T06:03:31.566079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:31.566079Z digest=sha256:cdb060ffa7db989d7b92205aca160856e4b4c33f883bfcd554086d906c362955

Observation 35c51995-73be-4d59-977e-3b74123d9851 · inbound

Is Optimal Transport Necessary for Inverse Reinforcement Learning? cites this paper.

Is Optimal Transport Necessary for Inverse Reinforcement Learning? Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:55:44.285682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:55:44.285682Z digest=sha256:02b38540fcd9a7ab765bd6f234f8c5226501e4e2a7ae6381e2ee6fc1826d97bd

Observation b2cbb4ea-97e0-4f5e-b7b8-0f403bd37e4f · inbound

CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion cites this paper.

CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:15:33.903551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:15:33.903551Z digest=sha256:8162df3c3655877499bb4cb7d2f09cbf5a0f057a776e7825a0d56784a2eab1a6

Observation cc6d3002-6c4f-44da-b361-f05bcb26b85f · inbound

Residual Reward Models for Preference-based Reinforcement Learning cites this paper.

Residual Reward Models for Preference-based Reinforcement Learning Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T21:17:40.379179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:17:40.379179Z digest=sha256:eaf4b989aebfbdaba85f484767876da3fc94b480f8aab66003b4082489ff1193

Observation 2e83b270-c4ed-4180-8dd7-543bac9ffbde · inbound

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning cites this paper.

Spatial-Temporal Aware Visuomotor Diffusion Policy Learning Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T19:05:22.876784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:05:22.876784Z digest=sha256:e14b8d6d76b4f29e6457180052a0e1fad2b329f533557038d3b8709a49105c26

Observation 82ec9a12-6453-48e6-b8ce-f35c1bf0bd93 · inbound

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation cites this paper.

Referring-Aware Visuomotor Policy Learning for Closed-Loop Manipulation Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:20:48.121435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T19:59:02.039358Z digest=sha256:63a8d1906bd1d29680352e70c174e8f615ed4d6992d6c4a5bea011c6ac24bd92

Observation a41204be-f2ac-41ed-82be-eac2a9d59f22 · inbound

FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation cites this paper.

FAWAM: Force-Aware World Action Models for Closed-Loop Contact-Rich Manipulation Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:17:29.549537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T18:21:39.314131Z digest=sha256:b0e24bc68c75db314112b11e6f7ed4497caaed7e4e07de5dc4df5045861d77f8

Observation 453937e4-9bbf-4f97-aac1-ca8811ca1410 · inbound

Video2Sim2Real: Full-Stack Autonomous Dexterous Skill Acquisition from a Single Human Video cites this paper.

Video2Sim2Real: Full-Stack Autonomous Dexterous Skill Acquisition from a Single Human Video Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:37:27.694644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T18:05:27.871988Z digest=sha256:1f6a97d29181e8313a3dddbe0222d592c3e3feeae4bbde76f8933dbebec34a4c

Observation 78af1b6d-4bcc-4413-8a7e-a3613d388e39 · inbound

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies cites this paper.

OmniTacTune: Policy-Agnostic Real-World RL for Tactile Residual Adaptation of Visual Policies Teach a Robot to FISH: Versatile Imitation from One Minute of Demonstrations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-12T00:23:04.763773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T00:23:04.763773Z digest=sha256:47c20b23e18f078b5e485b51a10cca509efa8cfa017e52dbf9fe7c0468a7ffb8