Pith. sign in

Paper Citation Record · LEDGER

OIL: Observational Imitation Learning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.01129.

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

pith.paper-citation-record.v1
1803.01129 v3

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:55:37.862501Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:55:38.785726Z

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 7e1b6740-1473-4a41-b064-10f8f9ce865e · inbound

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations cites this paper.

Domain-Invariant Per-Frame Feature Extraction for Cross-Domain Imitation Learning with Visual Observations OIL: Observational Imitation Learning

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:55:38.791011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-09T10:55:37.862501Z digest=sha256:432a2dbf08170addb06e8b91d590af5018c405a84f66b7f952d5ce080240d4f4

Observation 878af30e-9b04-4248-9af7-5dcc76d31ffa · inbound

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach cites this paper.

A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach OIL: Observational Imitation Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-03T16:52:53.771541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:52:53.771541Z digest=sha256:592d56f4d1051ec7dcfa61f1c65673d93e288fdbc55523ca8716aae39f57600e