Pith. sign in

Paper Citation Record · LEDGER

TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.14770.

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

pith.paper-citation-record.v1
2110.14770 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T09:47:54.977716Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T09:47:55.143182Z

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 9fc521cd-03c4-43e0-9000-6b1814af9d79 · 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 TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-05-17T09:47:55.145966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-17T09:47:54.977716Z digest=sha256:e2c4444e7c2ebf307453a1816b95dab3b7eeca10ad03d03f0dbf3f63eb596110

Observation 22183939-ea64-4e9e-b944-0555785e3ac2 · inbound

REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations cites this paper.

REALM: Reliable Expertise-Aware Language Model Fine-Tuning from Noisy Annotations TRAIL: Near-Optimal Imitation Learning with Suboptimal Data

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.725296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T06:52:11.161442Z digest=sha256:344c74d164d478a5245265010636af85597edd0dd0074cac48281c7d74181274