Paper Citation Record · LEDGER

MADiff: Offline Multi-agent Learning with Diffusion Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2305.17330.

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

pith.paper-citation-record.v1
2305.17330 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:21:15.806376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T14:42:42.023064Z

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 0459a2d7-3642-4c55-aa6d-b3b126e9935f · inbound

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay cites this paper.

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:21:15.806376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9aab2cb-1049-489b-a93f-1ccdfdab2402 · inbound

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization cites this paper.

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T18:46:17.581638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d61b35-3378-4021-a6f7-a3b736c66cb8 · inbound

Scalable Multi Agent Diffusion Policies for Coverage Control cites this paper.

Scalable Multi Agent Diffusion Policies for Coverage Control MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:42:42.025645Z

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 3e726208-0226-4d4a-bdfe-af5c499f084e · inbound

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning cites this paper.

AID: Agent Intent from Diffusion for Multi-Agent Informative Path Planning MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:58:55.113503Z

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 cd121a6b-3d91-4e3f-bc9c-84a10de6eb52 · inbound

Advantage-Guided Diffusion for Model-Based Reinforcement Learning cites this paper.

Advantage-Guided Diffusion for Model-Based Reinforcement Learning MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:01:00.781080Z

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 76cafbb4-4e06-49d3-a0e9-50c5fd5f6e78 · inbound

Refining Compositional Diffusion for Reliable Long-Horizon Planning cites this paper.

Refining Compositional Diffusion for Reliable Long-Horizon Planning MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 85

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:11:18.936272Z

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 ded30ab9-e916-492d-a7ca-9fc7f072ac1c · inbound

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning cites this paper.

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T03:52:12.504396Z

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 f840c4d3-2d58-4e48-8fab-7d478cf3d000 · inbound

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning cites this paper.

Events as Triggers for Behavioral Diversity in Multi-Agent Reinforcement Learning MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:42:58.011910Z

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 46ca2e80-3ba9-4630-b5fe-782a45a0142c · inbound

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

Reinforcement Learning: From Algorithms To Foundation Models MADiff: Offline Multi-agent Learning with Diffusion Models

Reference 259

Resolution: unresolved; no resolver link, observed 2026-08-01T17:45:21.820456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.