Paper Citation Record · LEDGER

Data Augmentation for Manipulation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2205.02886.

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

pith.paper-citation-record.v1
2205.02886 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:06:38.489585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:19:20.812118Z

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 4709a77a-e8c9-44f0-a274-c8df965f3daa · inbound

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations cites this paper.

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations Data Augmentation for Manipulation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-17T09:47:55.185308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c6cf54a-f027-4187-9659-7091f51b78ed · inbound

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models cites this paper.

RoboMonkey: Scaling Test-Time Sampling and Verification for Vision-Language-Action Models Data Augmentation for Manipulation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T19:06:38.489585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7359d501-b1e7-4d4f-b892-d0f29e0f47b6 · inbound

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling cites this paper.

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling Data Augmentation for Manipulation

Reference 153

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T03:08:59.739706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b40492c8-709e-409d-a08d-34972e4caf02 · 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 Data Augmentation for Manipulation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:19:20.814971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.