Paper Citation Record · LEDGER

MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2303.00638.

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

pith.paper-citation-record.v1
2303.00638 v3

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:41:49.749754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:06:55.410503Z

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 d300da6b-8b78-4a9a-ba07-3507c82bb517 · 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 MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T00:41:49.749754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 866e7f0f-4012-4648-a292-dc89c0fa89d5 · inbound

Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance Control cites this paper.

Behavior-Constrained Reinforcement Learning with Receding-Horizon Credit Assignment for High-Performance Control MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:33:10.227396Z

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.

Observation 6f03487d-74ea-4101-a063-95e7b546590e · inbound

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cites this paper.

OGPO: Sample Efficient Full-Finetuning of Generative Control Policies MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:10:42.610012Z

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.

Observation edc3cd66-ce0e-4d0c-abd6-538ad0b340b6 · inbound

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss cites this paper.

Double Preconditioning (DoPr): Optimization for Test-Time Performance, not Validation Loss MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:06:55.411904Z

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.