Paper Citation Record · LEDGER

What Makes a Good Diffusion Planner for Decision Making?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.00535.

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

pith.paper-citation-record.v1
2503.00535 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T08:44:53.969301Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.360547Z

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 051aa33c-c4ee-434c-8ed2-f0fb2acaef43 · inbound

Muninn: Your Trajectory Diffusion Model But Faster cites this paper.

Muninn: Your Trajectory Diffusion Model But Faster What Makes a Good Diffusion Planner for Decision Making?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:56:27.671546Z

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 08914130-ac18-4dbd-a807-eae206d5769b · inbound

Generative Auto-Bidding with Unified Modeling and Exploration cites this paper.

Generative Auto-Bidding with Unified Modeling and Exploration What Makes a Good Diffusion Planner for Decision Making?

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T05:38:05.216884Z

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 821328aa-00ec-4223-b166-2b1f3a185b56 · inbound

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models cites this paper.

GDSD: Reinforcement Learning as Guided Denoiser Self-Distillation for Diffusion Language Models What Makes a Good Diffusion Planner for Decision Making?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-06-29T08:53:16.378234Z

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 614ab1ff-7101-4a56-91a5-daeb952b8403 · 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 What Makes a Good Diffusion Planner for Decision Making?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.362188Z

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.