Paper Citation Record · LEDGER

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.04292.

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

pith.paper-citation-record.v1
2402.04292 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:08:03.434769Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:43:40.594975Z

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 930e0b51-2d52-4d1f-be99-3bcda83dfd04 · 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 AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T21:08:03.434769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea67dba-0f9c-42fc-841d-924988666e5d · inbound

Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling cites this paper.

Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-09T22:13:22.729099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a43fc4-2b25-40b0-9899-baf6061cba24 · inbound

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots cites this paper.

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-10T19:09:10.211966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 67c6c25e-27a2-4110-a88d-c057ab8b3014 · inbound

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees cites this paper.

Train-Once Plan-Anywhere Kinodynamic Motion Planning via Diffusion Trees AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T14:42:40.229697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a86e1cc-917b-4944-9d16-bc797829f30c · inbound

SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment cites this paper.

SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T22:52:04.562567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1126dc2-3247-4685-84e1-5022e84aca1a · inbound

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation cites this paper.

SID: Sliding into Distribution for Robust Few-Demonstration Manipulation AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:17:50.426184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29cea871-c780-4b74-b841-cc7f2b014fef · inbound

DSSP: Diffusion State Space Policy with Full-History Encoding cites this paper.

DSSP: Diffusion State Space Policy with Full-History Encoding AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:21:24.195783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation db9ff08a-625c-4206-b73b-3ac123ff5aab · inbound

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning cites this paper.

HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.596466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.