Paper Citation Record · LEDGER

Improving the Training of Rectified Flows

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2405.20320.

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

pith.paper-citation-record.v1
2405.20320 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:05:33.663933Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.773805Z

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 74896a20-5c8f-416f-9b4e-5e31c9b6032d · inbound

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation cites this paper.

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation Improving the Training of Rectified Flows

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T11:05:33.663933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93931c3c-0a0a-42f1-908e-d024f5500054 · inbound

Turbo3D: Ultra-fast Text-to-3D Generation cites this paper.

Turbo3D: Ultra-fast Text-to-3D Generation Improving the Training of Rectified Flows

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T21:28:21.582458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17c356df-c99c-43c8-b943-d0a955df2047 · inbound

Analyzing and Mitigating Model Collapse in Rectified Flow Models cites this paper.

Analyzing and Mitigating Model Collapse in Rectified Flow Models Improving the Training of Rectified Flows

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-11T18:14:24.085190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c247fac1-8009-48ea-87c5-a37f36d586a2 · inbound

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models cites this paper.

NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models Improving the Training of Rectified Flows

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:44:10.307426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56665eb6-ac22-4d71-85d7-d5682a2302a8 · inbound

Large Language Models to Diffusion Finetuning cites this paper.

Large Language Models to Diffusion Finetuning Improving the Training of Rectified Flows

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T14:01:55.546098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e1e106-7c66-4e20-9666-dd89d8378705 · inbound

Efficient Diffusion Models: A Survey cites this paper.

Efficient Diffusion Models: A Survey Improving the Training of Rectified Flows

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T16:13:36.337293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfd90426-d0ae-43e4-a433-3205fda778ad · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Improving the Training of Rectified Flows

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:24.026542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 10088e09-9e50-4af7-9c86-adcc56a47215 · inbound

MFC-RFNet: A Multi-scale Guided Rectified Flow Network for Radar Sequence Prediction cites this paper.

MFC-RFNet: A Multi-scale Guided Rectified Flow Network for Radar Sequence Prediction Improving the Training of Rectified Flows

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:08:08.206088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a9a6219-61ca-4842-82d7-4e01e3fc24a2 · inbound

Few-step Generative Models as Lossy Compression cites this paper.

Few-step Generative Models as Lossy Compression Improving the Training of Rectified Flows

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.775393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 88d29bb9-b653-4025-9e41-f5a74d2e47a6 · inbound

FlowSonic: Stable Zero-Shot Music Editing via High-Order Trajectory Integration cites this paper.

FlowSonic: Stable Zero-Shot Music Editing via High-Order Trajectory Integration Improving the Training of Rectified Flows

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:14.106850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.