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Paper Citation Record · LEDGER

Data Quality in Imitation Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2306.02437.

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

pith.paper-citation-record.v1
2306.02437 v1

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:15:34.524929Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4adc740e-fada-4b3b-ac60-c1030fdb28f9 · inbound

Guiding Data Collection via Factored Scaling Curves cites this paper.

Guiding Data Collection via Factored Scaling Curves Data Quality in Imitation Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T22:15:34.524929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:15:34.524929Z digest=sha256:79e02746bdabb54417ed708103a426e19a512943bd39e8be17d10d0d1f3b272d

Observation 59ad679a-c1c8-424b-959d-07bcabc978b4 · inbound

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning cites this paper.

SCIZOR: A Self-Supervised Approach to Data Curation for Large-Scale Imitation Learning Data Quality in Imitation Learning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:10:33.068502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:33.068502Z digest=sha256:34ee138e7280bfdacd04a3b4fa7fc4a4e2c230c5c85d0151e0e5c58cd9329249

Observation c6f360db-87bc-40a8-add0-bd7dc4612218 · inbound

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics cites this paper.

Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics Data Quality in Imitation Learning

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:37:57.315065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T09:52:38.167538Z digest=sha256:3f886b5cc617146fd3c4ac4d0a4b9e29dc5add09cb26fb560a553e1635bdb44e

Observation 75a42282-88f5-483b-9ec9-60ee10585177 · inbound

Hierarchical Policy Learning via Spectral Decomposition cites this paper.

Hierarchical Policy Learning via Spectral Decomposition Data Quality in Imitation Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:04:20.729131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-30T06:54:29.971971Z digest=sha256:d8597003c65be673965320eea3f721da4fd0e20caf45acf4cca66a0e54500b3b