Paper Citation Record · LEDGER

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 3 inbound Pith citation observations for arXiv:2504.13368.

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

pith.paper-citation-record.v1
2504.13368 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:17:38.700024Z

measured 29 of 29 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 2026-08-07T05:15:33.500556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T13:20:25.624340Z

Reference resolution

26 of 26 outbound references displayed

verified exact1
verified fuzzy6
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6b342661-463f-48c8-a8ef-cf03dd5036a1 · outbound

This paper cites an unresolved cited work.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:17:38.958027Z

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.

Observation 5ebd34b7-bae4-47c8-8391-03904004dbbe · outbound

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

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.616065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f32b47-c730-41e2-986d-79a27a826be9 · outbound

This paper cites an unresolved cited work.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:17:38.935708Z

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.

Observation c5f9e2b2-8542-4e3f-8f5a-58b6cdc60273 · outbound

This paper cites When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning When Should We Prefer Offline Reinforcement Learning Over Behavioral Cloning?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.623944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d90d0a-18cd-432d-aa92-d9225025a03a · outbound

This paper cites COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.627839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec01e9ea-5c25-453c-a674-83646d202d6c · outbound

This paper cites PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning PROTO: Iterative Policy Regularized Offline-to-Online Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.631616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb3934a4-3298-49f8-9965-e07a2f740d3d · outbound

This paper cites Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.642669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 617dfe91-2cec-43d2-8e17-4f1fa250f7b7 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Score-Based Generative Modeling through Stochastic Differential Equations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.661193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ee2d5f-1c58-4ae7-bb69-e5c3ef572370 · outbound

This paper cites A Review of Off-Policy Evaluation in Reinforcement Learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning A Review of Off-Policy Evaluation in Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.664480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa0256fe-b7f8-435e-a6c3-a3eeb64e433b · outbound

This paper cites Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.668063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21b7d0b8-9b42-47d7-80de-5d9d625d917b · outbound

This paper cites State deviation correction for offline reinforcement learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning State deviation correction for offline reinforcement learning

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:38.982010Z

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.

Observation c2cd90d9-4ab6-4407-bb02-78c47372e643 · outbound

This paper cites SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.675196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db81075a-fd52-40f1-a1e6-31e9be0ab235 · outbound

This paper cites Deep Residual Reinforcement Learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Deep Residual Reinforcement Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.678696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a39bd8f-c25c-42fe-a576-4af9b312790f · outbound

This paper cites The regularization term aims at imposing visitation distribution constraints (Nachum & Dai, 2020; Lee et al., 2021; Mao et al., 2024a).

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning The regularization term aims at imposing visitation distribution constraints (Nachum & Dai, 2020; Lee et al., 2021; Mao et al., 2024a)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:38.970648Z

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.

Observation 2af0adbf-4237-492f-ab9e-0cae667c72e1 · outbound

This paper cites an unresolved cited work.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:17:38.946805Z

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.

Observation d939c2d7-5ede-4e54-8796-55978a24dd37 · outbound

This paper cites The number of total transitions of the noisy dataset is 1, 000,.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning The number of total transitions of the noisy dataset is 1, 000,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:38.924813Z

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.

Observation cc305ca4-ba3a-4175-99f7-483d3a5319f4 · outbound

This paper cites an unresolved cited work.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-16T12:17:38.913488Z

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.

Observation 954ca0b2-2b1d-4d5c-9fc2-1b06da0667b8 · outbound

This paper cites ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update

Reference 1960

Resolution: verified exact; local_arxiv, observed 2026-08-16T12:17:38.825428Z

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.

Observation 4ba7dc5a-5a45-4db6-ab8b-bca1f4cf824c · outbound

This paper cites SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning

Reference 1970

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.657712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03bfdfd2-fe44-4ea7-9718-884314e52c63 · outbound

This paper cites Reinforcement Learning via Fenchel-Rockafellar Duality.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Reinforcement Learning via Fenchel-Rockafellar Duality

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.650706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bb28c8-75ff-49e2-8b63-09e93078fd93 · outbound

This paper cites Off-policy deep reinforcement learning without exploration.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Off-policy deep reinforcement learning without exploration

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:39.003582Z

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.

Observation dc791905-98fc-49e8-b565-b45c55949573 · outbound

This paper cites Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.620256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf7dd64b-96ab-44cc-84cf-2c8c0f035a0c · outbound

This paper cites Residual algorithms: Reinforcement learning with function approximation.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Residual algorithms: Reinforcement learning with function approximation

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:39.014454Z

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.

Observation 83c1896e-56f2-4494-997c-83046a098000 · outbound

This paper cites Is Value Learning Really the Main Bottleneck in Offline RL?.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Is Value Learning Really the Main Bottleneck in Offline RL?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.654314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adc30dcd-a736-4d31-8c6a-aa2bc058f138 · outbound

This paper cites Dealing with the unknown: Pessimistic offline reinforcement learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning Dealing with the unknown: Pessimistic offline reinforcement learning

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T12:17:38.992654Z

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.

Observation 62368e0a-39bd-40c5-b908-d52c4694333f · outbound

This paper cites SelfBC: Self Behavior Cloning for Offline Reinforcement Learning.

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning SelfBC: Self Behavior Cloning for Offline Reinforcement Learning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T12:17:38.638637Z

Source-reported events for the cited work

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Pith citing papers

Observation 76e4dfae-42b7-4f45-8e16-afb9d4a6634c · inbound

Semi-gradient DICE for Offline Constrained Reinforcement Learning cites this paper.

Semi-gradient DICE for Offline Constrained Reinforcement Learning An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:15:33.500556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a1765c-5ccd-42f4-9528-f69f63c67c47 · inbound

Dichotomous Diffusion Policy Optimization cites this paper.

Dichotomous Diffusion Policy Optimization An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T13:18:31.831475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48d266f3-efc1-4b59-853c-1d004699c332 · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:20:25.626504Z

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.