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Paper Citation Record · LEDGER

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2309.06380.

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

pith.paper-citation-record.v1
2309.06380 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:52.627053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:49:52.095625Z

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 5cfccab7-3489-4f65-be06-852eed2c12b2 · inbound

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference cites this paper.

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:15:54.732152Z

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.

source=arxiv_source observed=2026-05-13T04:15:54.681913Z digest=sha256:82a0eec54b434ccab09fb7d5e26e27cc49ff0240d3e264d95365f2af2ed60a59

Observation 3f34be5c-f475-408a-9160-31c204d32e39 · inbound

Accelerating Video Diffusion Models via Distribution Matching cites this paper.

Accelerating Video Diffusion Models via Distribution Matching InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T20:17:52.628143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:17:52.628143Z digest=sha256:b26dd689232ed904550d121be561138a20a966ae673fe6b9a0e222cb870baa19

Observation e9e8c852-8d38-47b9-b592-33234f11593a · inbound

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models cites this paper.

MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T11:53:08.699458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:53:08.699458Z digest=sha256:9e07e7af06543b68f46d31c6143a674124743403cb015f33872281b9cd88ca25

Observation b6e0b353-7f5d-4b14-ba10-a20b7e4e9899 · inbound

CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models cites this paper.

CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T19:05:52.919871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:05:52.919871Z digest=sha256:3f062cd4a2b566985cbebb2877bd46cb16ae0b09afc6b33c5193f3cb89bc0c0a

Observation 84328be9-4942-4f04-9e36-ba2d7d37c72c · inbound

Fast Autoregressive Models for Continuous Latent Generation cites this paper.

Fast Autoregressive Models for Continuous Latent Generation InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:52.627053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:52.627053Z digest=sha256:7992393cafab157ecf56add8d09af75ebff1f4b1072366596c4058bf206888bc

Observation 7ce40494-b4ef-410e-91b7-accbf782dd7d · inbound

Few-Step Diffusion via Score identity Distillation cites this paper.

Few-Step Diffusion via Score identity Distillation InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:21.252161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.252161Z digest=sha256:b1bd003b16568b77bfdc1ca298bc6d1312e972b66446826e7cbc95a4088d2cce

Observation ef3d8305-c7c0-4c68-95e7-753b5162c2a2 · inbound

Test-Time Scaling of Diffusion Models via Noise Trajectory Search cites this paper.

Test-Time Scaling of Diffusion Models via Noise Trajectory Search InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:28:45.871619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:28:45.871619Z digest=sha256:aedc18060563eb40691e6f0a3a935a9bbdad90b316a638b11659605c5282af18

Observation 3b9446cc-5eda-419d-975a-da72971908fa · inbound

Instability in Diffusion ODEs: An Explanation for Inaccurate Image Reconstruction cites this paper.

Instability in Diffusion ODEs: An Explanation for Inaccurate Image Reconstruction InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T18:59:14.685805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:59:14.685805Z digest=sha256:d2f5bb389f5f14fe3103f1addb110fe24af354a4b5ed153e412cd4781ed8f85f

Observation cf6ed992-4643-41f3-a8be-c58c00e28daa · inbound

Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls cites this paper.

Noise Consistency Training: A Native Approach for One-Step Generator in Learning Additional Controls InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T18:32:56.310603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:32:56.310603Z digest=sha256:b11da0d96e485d1794beb9181de2f8aa519ae7a65654db7d3be161267f70adf0

Observation 5492e00b-fe3c-499b-add4-e28b8ed76cf3 · inbound

The Serial Scaling Hypothesis cites this paper.

The Serial Scaling Hypothesis InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-19T04:12:02.507963Z

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.

source=arxiv_source observed=2026-05-19T04:08:11.344622Z digest=sha256:7bf39889b0b240534d249bdaed36b69ddca0a582a5420b25a5b69f8430f25bad

Observation 1a034a4c-6669-4587-8910-21dda5cb249a · inbound

Autoregressive Boltzmann Generators cites this paper.

Autoregressive Boltzmann Generators InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 234

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:49:52.097086Z

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.

source=arxiv_source observed=2026-06-26T04:52:16.106374Z digest=sha256:a813bf54b0525fa50bbbb0126f187be514db08f769f98158841d0bc5cd7d7d2b

Observation b5dee52d-cb1c-48c3-9eeb-cd4b5da2ce82 · inbound

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing cites this paper.

Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-01T13:39:00.740696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:39:00.740696Z digest=sha256:12ba5f3880a47810231eb83571742abefe3892820bcef39d37c6b3a79d977bac