Paper Citation Record · LEDGER

Learning Few-Step Diffusion Models by Trajectory Distribution Matching

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2503.06674.

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

pith.paper-citation-record.v1
2503.06674 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:47:19.989848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T23:45:07.785757Z

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 b7c35c85-f56b-437b-83d0-7fd1261aa166 · inbound

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation cites this paper.

Self-Forcing++: Towards Minute-Scale High-Quality Video Generation Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:39:54.155012Z

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 51dff4a3-666f-4617-ac94-06e83d94b4ef · inbound

Distribution Matching Distillation Meets Reinforcement Learning cites this paper.

Distribution Matching Distillation Meets Reinforcement Learning Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-03T21:47:19.989848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b66392ac-d9b4-4750-ae0e-8eeac90f9653 · inbound

Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length cites this paper.

Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:58:51.436368Z

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 6a612ec4-8215-42b1-8543-4df5888466b5 · inbound

Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length cites this paper.

Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T18:39:42.201403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8bf78d-5317-497e-a034-ba0ea9dcd6ea · inbound

Kling-Omni Technical Report cites this paper.

Kling-Omni Technical Report Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:00:58.622991Z

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 d79df449-9464-4e6b-8516-1dc89d4c9bda · inbound

Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis cites this paper.

Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T14:40:14.496146Z

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 0a500951-cf31-4802-ac95-4b846d2316a3 · inbound

Cross-Resolution Distribution Matching for Diffusion Distillation cites this paper.

Cross-Resolution Distribution Matching for Diffusion Distillation Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-15T14:00:06.859472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fee760f-f85c-4b33-a748-1610b5948771 · inbound

1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation cites this paper.

1.x-Distill: Breaking the Diversity, Quality, and Efficiency Barrier in Distribution Matching Distillation Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T17:23:02.581307Z

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 61b4a80e-a1e5-47c4-a9b9-640103d19519 · inbound

TurboTalk: Progressive Distillation for One-Step Audio-Driven Talking Avatar Generation cites this paper.

TurboTalk: Progressive Distillation for One-Step Audio-Driven Talking Avatar Generation Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:15:10.356621Z

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 cac9cbc2-50fa-4c77-8bea-4e857f02dfdd · inbound

Efficient Video Diffusion Models: Advancements and Challenges cites this paper.

Efficient Video Diffusion Models: Advancements and Challenges Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:03:25.737707Z

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 bb3f739b-2427-418e-8f07-4601aeaaf72e · inbound

Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation cites this paper.

Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:06:12.754600Z

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 57555084-1a72-4313-91e9-84a9aa2318d7 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:36:05.737231Z

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 09fcae9f-02de-401d-aaab-c041a536e820 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T23:19:13.359978Z

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 a46bc800-0994-4bc4-bc2f-f180ab6b5d06 · inbound

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models cites this paper.

D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T23:45:07.787257Z

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 413ce80c-ddf8-420d-bc0d-00db06837013 · inbound

Stabilizing, Scaling & Enhancing MeanFlow for Large-scale Diffusion Distillation cites this paper.

Stabilizing, Scaling & Enhancing MeanFlow for Large-scale Diffusion Distillation Learning Few-Step Diffusion Models by Trajectory Distribution Matching

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:18:16.644120Z

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.