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Paper Citation Record · LEDGER

IL-flOw: Imitation Learning from Observation using Normalizing Flows

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.09251.

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

pith.paper-citation-record.v1
2205.09251 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:44:57.624301Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T10:55:38.912111Z

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 6bbe81da-1abf-44c2-9eee-95302a544ab8 · inbound

FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation cites this paper.

FlowPolicy: Enabling Fast and Robust 3D Flow-based Policy via Consistency Flow Matching for Robot Manipulation IL-flOw: Imitation Learning from Observation using Normalizing Flows

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T21:08:03.396577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:08:03.396577Z digest=sha256:2f54e0aceb7adf06c587bd20e547641d78a8debfc5a2a50ca507271ffb17f581

Observation 4a6a595b-25fb-4284-8378-f638c9bb7170 · 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 IL-flOw: Imitation Learning from Observation using Normalizing Flows

Reference 2022

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:55:38.917953Z

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=2026-08-09T10:55:37.803472Z digest=sha256:8f5a457613a27524e862d5f1e9ce7990f6ae88ef999d4628a55eb87383500a41

Observation 849d5af1-3fed-4e35-ac60-64618391e64c · inbound

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching cites this paper.

TeLoGraF: Temporal Logic Planning via Graph-encoded Flow Matching IL-flOw: Imitation Learning from Observation using Normalizing Flows

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T04:44:57.624301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:44:57.624301Z digest=sha256:b4608c0ec38ec3f1fef6b3296f8b95b37e4cbaa56125306ccc51d9965fba6cff