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Paper Citation Record · LEDGER

Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.17768.

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

pith.paper-citation-record.v1
2402.17768 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:41:49.789257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:19:20.789181Z

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 a40e7afb-5965-4c60-a8b5-f2e53e816495 · inbound

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training cites this paper.

Dynamic Rank Adjustment in Diffusion Policies for Efficient and Flexible Training Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T00:41:49.789257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:41:49.789257Z digest=sha256:05678928c10da43b2c679723a7d3658f0b89033d8df6ffa5ee25e89b7688691f

Observation 06e8cab9-96e2-4f4e-85a6-5c9773d1ada1 · inbound

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) cites this paper.

Learning in ImaginationLand: Omnidirectional Policies through 3D Generative Models (OP-Gen) Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T00:02:31.158643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T00:02:31.158643Z digest=sha256:d5e60435fc390c1fa0ba557f81428fc8558e7b914b2da719de19f1aebdc156b5

Observation 9b78c30a-7c5d-491d-9ae4-c55c6dd60570 · inbound

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations cites this paper.

WARPED: Wrist-Aligned Rendering for Robot Policy Learning from Egocentric Human Demonstrations Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:01:02.619786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:14:24.932972Z digest=sha256:a382a793623105d4d1d5f53ff6f0dc0d582af83e0f6679b1b04023e64f48a976

Observation 8338e1ba-34d9-4530-a48c-1594dcae908e · inbound

WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models cites this paper.

WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:45:59.087107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T16:30:40.064714Z digest=sha256:558399791b39773e173f800e8a3b0cb58cc2799154c2a740c8a293ee24eec009

Observation 328a29d3-f8ae-46b5-b871-51296d519d8a · inbound

VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation cites this paper.

VADF: Vision-Adaptive Diffusion Policy Framework for Efficient Robotic Manipulation Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:32:52.179145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T08:31:13.882275Z digest=sha256:2126dc0aa71edbb251eca1c3c21721e5a5df8f150bb48aa8ee230e4d89182231

Observation a0ecc35e-fc7d-4295-bcd3-2155e550cad5 · inbound

NavOL: Navigation Policy with Online Imitation Learning cites this paper.

NavOL: Navigation Policy with Online Imitation Learning Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:52:21.900631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T05:51:53.848800Z digest=sha256:0652ef540887801814dcaa7b5e128bac3472a6a9b071a1020bd3238476c11043

Observation 058cf6ef-e39a-42e7-94d1-d9c1f5890af5 · inbound

VR-DAgger: Immersive VR for Dexterous Data Collection and Uncertainty-Guided On-Policy Correction cites this paper.

VR-DAgger: Immersive VR for Dexterous Data Collection and Uncertainty-Guided On-Policy Correction Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:03:48.561034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-29T17:35:48.657986Z digest=sha256:2048968cb887c6ee981208e29d797eefac200d88c4c3461da854b3bd9787f31f

Observation e498f78d-b2a1-467e-adad-7559b627cbd1 · inbound

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies cites this paper.

One Demo is Worth a Thousand Trajectories: Action-View Augmentation for Visuomotor Policies Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation Learning

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T01:19:20.791676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T20:30:35.868879Z digest=sha256:cb9f98d2ef3c972efa52447b11d9df6c844f6d16293905fea4e09e88c121b8f6