Paper Citation Record · LEDGER

Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2309.16984.

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

pith.paper-citation-record.v1
2309.16984 v2

Coverage vector

measured 0 of 0 reference resolution

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measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:14:13.069509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.320586Z

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External citation measurements

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Outbound references

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Pith citing papers

Observation b5700202-7739-4162-9ac2-0a8b20910eda · inbound

Diffusion Policy Policy Optimization cites this paper.

Diffusion Policy Policy Optimization Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:48:14.860719Z

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 a851b68c-fec2-418a-a5ec-d0d9440f3bfa · inbound

Unpacking the Individual Components of Diffusion Policy cites this paper.

Unpacking the Individual Components of Diffusion Policy Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T11:39:42.625166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b22a6a-3537-48b4-8c07-6a2034d1e6b6 · 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 Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T21:08:03.410328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1f8518e-d891-4b19-94a1-9266963aeb77 · inbound

Predictive Planner for Autonomous Driving with Consistency Models cites this paper.

Predictive Planner for Autonomous Driving with Consistency Models Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T11:09:35.499914Z

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Observation 84a5276d-18db-45ba-9876-718e64de5dfd · inbound

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning cites this paper.

Analytic Energy-Guided Policy Optimization for Offline Reinforcement Learning Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:14:13.069509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4cca48-bf70-41fa-8346-88bc0883e05e · inbound

Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition cites this paper.

Offline Multi-agent Reinforcement Learning via Sequential Score Decomposition Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T22:59:50.090536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d9509c2-c3b1-49a4-a133-df57efb2fe73 · inbound

Flow-Based Policy for Online Reinforcement Learning cites this paper.

Flow-Based Policy for Online Reinforcement Learning Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:00.253038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0733b1da-d86f-416d-84df-64a262e10bb9 · inbound

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes cites this paper.

ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:18.849725Z

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Unavailable: canonical work link unavailable.

Observation 4b4f3602-b9a0-45f2-90f1-5413caab425a · inbound

Steering Your Diffusion Policy with Latent Space Reinforcement Learning cites this paper.

Steering Your Diffusion Policy with Latent Space Reinforcement Learning Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-17T21:55:46.442771Z

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 3d145bb3-0fcd-4408-874a-fe69b9ea4251 · inbound

Reinforcement Learning via Value Gradient Flow cites this paper.

Reinforcement Learning via Value Gradient Flow Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T13:20:25.661288Z

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 58a33765-89e6-4bbf-95bd-00bf668ebeab · inbound

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

Fisher Decorator: Refining Flow Policy via a Local Transport Map Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:51:46.625732Z

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 9454bf84-5bd9-4528-9442-21242d29b567 · 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 Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:56:00.601033Z

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 24b1f39b-f459-4f98-94a8-7874b19951b6 · inbound

Aligning Flow Map Policies with Optimal Q-Guidance cites this paper.

Aligning Flow Map Policies with Optimal Q-Guidance Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:07:17.472382Z

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 cde79218-c524-45a5-ab6f-61d0e9e189f7 · inbound

Reinforcement Learning for Flow-Matching Policies with Density Transport cites this paper.

Reinforcement Learning for Flow-Matching Policies with Density Transport Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:27:25.860133Z

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 5e1389d9-6e6e-49f3-9e73-16f604c8fde6 · inbound

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning cites this paper.

Fast and Highly Expressive Policy Learning for Offline Reinforcement Learning via Bootstrapped Flow Q-Learning Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.322093Z

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 2dc29546-009e-4990-8e89-752482aa5b68 · inbound

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

Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:17:36.948072Z

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 fa560329-3eb7-453d-884e-9ae454e2a1c9 · inbound

Reinforcement Learning: From Algorithms To Foundation Models cites this paper.

Reinforcement Learning: From Algorithms To Foundation Models Consistency Models as a Rich and Efficient Policy Class for Reinforcement Learning

Reference 147

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:11.289375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.