Paper Citation Record · LEDGER

Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2211.11096.

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

pith.paper-citation-record.v1
2211.11096 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:20:35.925222Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:47:28.409712Z

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 de253d64-9fad-452f-b44c-a5243b4d6ea9 · inbound

Decision Flow Policy Optimization cites this paper.

Decision Flow Policy Optimization Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:20:35.925222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff8531ab-2cb3-4fca-8ab8-1d5e4f266ea9 · inbound

Training Diffusion Policies via Prior-Mapping Co-Evolution cites this paper.

Training Diffusion Policies via Prior-Mapping Co-Evolution Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T19:03:02.628280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78c7792b-5f42-4e4e-9e2b-f1fa0c3933c7 · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:37:13.814008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 71f5a7c8-9934-4277-96bb-3ad95448799d · inbound

SERNF: Sample-Efficient Real-World Dexterous Policy Fine-Tuning via Action-Chunked Critics and Normalizing Flows cites this paper.

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T02:53:09.350819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da9fbb1-23a1-4d1c-9df8-67cd4e55fdf5 · inbound

Generative OOD-regularized Model-based Policy Optimization cites this paper.

Generative OOD-regularized Model-based Policy Optimization Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-30T14:44:45.097653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7104e2f7-a938-47a8-9c59-33fb91c43a42 · inbound

Some Essential Constructive Foundations for Systems and Control cites this paper.

Some Essential Constructive Foundations for Systems and Control Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:47:28.411176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 44c91a74-0eaa-4cbc-8e61-3e2b5723c5f1 · inbound

ReBRAC-v2: The Return of the King cites this paper.

ReBRAC-v2: The Return of the King Let Offline RL Flow: Training Conservative Agents in the Latent Space of Normalizing Flows

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-06T00:32:46.057727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.