Paper Citation Record · LEDGER

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2303.15810.

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

pith.paper-citation-record.v1
2303.15810 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:27.299725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:17:36.940883Z

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 369249ae-67b4-40de-85d7-24c8df8067e2 · inbound

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies cites this paper.

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 50

Resolution: malformed identifier; arxiv_id, observed 2026-05-13T13:48:36.611406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0c67fefc-1819-42ba-9415-5af47f1e6ea1 · inbound

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning cites this paper.

BiTrajDiff: Bidirectional Trajectory Generation with Diffusion Models for Offline Reinforcement Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.285443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a73e2a5f-1b28-4238-8d50-5f4e3eb823c2 · inbound

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood cites this paper.

Offline RL with Smooth OOD Generalization in Convex Hull and its Neighborhood Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:27.299725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c79745c4-080c-4a8b-9206-447d4de34d79 · inbound

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning cites this paper.

GeMPO: Generalized Measure Matching for Online Diffusion Reinforcement Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 59

Resolution: unresolved; no resolver link, observed 2026-07-14T23:47:45.866615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f16d80-24d1-46ed-b157-e537401a1850 · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:20:25.622646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9b03b8b9-acfa-4d1a-92c4-483729c5c34a · inbound

Fisher Decorator: Refining Flow Policy via a Local Transport Map cites this paper.

Fisher Decorator: Refining Flow Policy via a Local Transport Map Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:51:46.618145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 48544bef-20c6-44af-af27-d789c3d80a4b · inbound

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning cites this paper.

Towards Efficient and Expressive Offline RL via Flow-Anchored Noise-conditioned Q-Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:56:00.631554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 38d69b95-3dee-4ae3-ae56-96d2a6576225 · inbound

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning cites this paper.

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T14:25:45.840469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8b6381b3-ad22-4a49-82f8-610a1812c1e6 · inbound

SPAR: Support-Preserving Action Rectification cites this paper.

SPAR: Support-Preserving Action Rectification Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:43:30.990694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1cf9ae9f-5987-4cd4-9237-5260c287e35d · inbound

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning cites this paper.

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:17:36.942518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.