Paper Citation Record · LEDGER

Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.11646.

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

pith.paper-citation-record.v1
2503.11646 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:30:14.209730Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:29:35.071154Z

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 13ebf988-5d71-4f34-924f-e45219f132c5 · inbound

EnerVerse-AC: Envisioning Embodied Environments with Action Condition cites this paper.

EnerVerse-AC: Envisioning Embodied Environments with Action Condition Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T21:30:14.209730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38f16377-f3b1-4de3-8fc3-ee3455b867b8 · inbound

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space cites this paper.

Bootstrapping Imitation Learning for Long-horizon Manipulation via Hierarchical Data Collection Space Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:51:45.659231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec844366-6f89-4323-af41-b650ce8ae866 · inbound

SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models cites this paper.

SwitchVLA: Execution-Aware Task Switching for Vision-Language-Action Models Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:05:38.612347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3ecd00-2a31-4873-b4b4-d9a0f41ccc32 · inbound

Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning cites this paper.

Geometric Entropy: When Trajectory Diversity Helps and Hurts in Imitation Learning Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:35.073235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7fa167b3-342a-40b5-bc94-6175a5a8f64a · inbound

The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection cites this paper.

The Moving Eye: Enhancing VLA Spatial Generalization via Hybrid Dynamic Data Collection Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T11:18:02.760157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50eb63f3-4683-4bf7-8eb9-7dedb8e81ec7 · inbound

Self-Evolving Learning for Embodied AI with Criticality Model cites this paper.

Self-Evolving Learning for Embodied AI with Criticality Model Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T13:18:17.844273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.