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Paper Citation Record · LEDGER

Few-Step Diffusion via Score identity Distillation

As of 18 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 3 inbound Pith citation observations for arXiv:2505.12674.

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

pith.paper-citation-record.v1
2505.12674 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:21.571860Z

measured 82 of 82 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:47:04.311886Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:26:18.181118Z

Reference resolution

79 of 79 outbound references displayed

  • verified exact1
  • verified fuzzy34
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b4204236-c154-4f1d-9b1d-bcd5396d3fc4 · outbound

This paper cites write newline.

Few-Step Diffusion via Score identity Distillation write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.023555Z digest=sha256:a1e0a03c742a28e3f2b4f5f926805384efe165548fb756082d5b4c07078b80fe

Observation 958b1906-ee0a-4812-9234-0ce35d000d30 · outbound

This paper cites write newline.

Few-Step Diffusion via Score identity Distillation write newline

Reference 2

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no resolver link, observed 2026-08-15T20:35:21.030589Z

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source=arxiv_source observed=2026-08-15T20:35:21.030589Z digest=sha256:92911dd47684892ce51eb4c4a9384cf0ff66e6205bf112562140dcbb343692b6

Observation 99a7cfab-1b10-4d31-8f80-c4d10ae6acb1 · outbound

This paper cites @esa (Ref.

Few-Step Diffusion via Score identity Distillation @esa (Ref

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.037123Z digest=sha256:5fc6faab26a5afd1cad311d0d56193de2a74bde5116d0fa8d42f64ba12c66c24

Observation ef1686bd-ca5d-4a4b-8fa4-ccb6feb8cbe9 · outbound

This paper cites an unresolved cited work.

Few-Step Diffusion via Score identity Distillation Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-15T20:35:21.042715Z digest=sha256:098e07625ca950f6eb3d7ee739872877cbbbcb29d89524e2abce244ad05976cc

Observation 9bb07d99-a222-414a-9c5e-92d63028e14e · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Few-Step Diffusion via Score identity Distillation , " * write output.state after.block = add.period write newline

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.219690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.048756Z digest=sha256:810b2424940985e22b4605b5040102d39c03f39fc6f146722e9b9e0d7bf292c4

Observation 78efcb5f-9fe7-4952-8550-642d5f96f2a2 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Few-Step Diffusion via Score identity Distillation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.055597Z digest=sha256:1e7621cdcc9cfa5083c80a26f18ed6fc026201485ac8ca6879ab38bf29b58c3a

Observation b2d856d8-52d3-47dc-8535-3f18f1b18f40 · outbound

This paper cites Freeman, Michael Rubinstein, Yuanzhen Li, and Dilip Krishnan.

Few-Step Diffusion via Score identity Distillation Freeman, Michael Rubinstein, Yuanzhen Li, and Dilip Krishnan

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.197067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.063074Z digest=sha256:5a6c41f72c5a1e87434a8dadceca13a6609196593a7525ffccf9a1edfa0646b9

Observation 7a3b5e27-9b66-411d-bbd2-d4ce01e7815c · outbound

This paper cites NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training.

Few-Step Diffusion via Score identity Distillation NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.068862Z digest=sha256:5887c8f17bd830a21def7b2d3beae31ad989556e1337318991f1c181166b47d1

Observation 3b86d3aa-6ce6-436f-a798-7f25d73bf3e3 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Few-Step Diffusion via Score identity Distillation Reproducible scaling laws for contrastive language-image learning

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.073838Z digest=sha256:179c552d3fc5274e79f16a9af1a77f3f80d676aee74447bbf2ecd47f82c2006a

Observation 733cff85-75c1-47ab-b0ee-1ab287c83221 · outbound

This paper cites Swiftbrush v2: Make your one-step diffusion model better than its teacher.

Few-Step Diffusion via Score identity Distillation Swiftbrush v2: Make your one-step diffusion model better than its teacher

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.162341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.081436Z digest=sha256:f7a3f8a5de083e000a632b3440f1242219bf644ec0a08c63f8777dade7de2a59

Observation ddd02c8e-41b3-49f6-a1ef-6fd4757bf2ff · outbound

This paper cites Diffusion models beat GAN s on image synthesis.

Few-Step Diffusion via Score identity Distillation Diffusion models beat GAN s on image synthesis

Reference 11

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raw_fallback, observed 2026-08-15T20:35:23.144334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.089159Z digest=sha256:956c4c63eee0c1aecc0867b25daceb15aad55d86c9a2ba3471625c8f0264907b

Observation e66008c9-7342-4cef-9751-ccd483dc42a8 · outbound

This paper cites Cogview: Mastering text-to-image generation via transformers.

Few-Step Diffusion via Score identity Distillation Cogview: Mastering text-to-image generation via transformers

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.101290Z digest=sha256:501f76dc55799d9334e1141851b700c90a78c7ecd3b07b194ab5395ff20881c0

Observation 1ef3bc04-b80a-432b-8599-5e3457dbe172 · outbound

This paper cites A Survey on Pre-Trained Diffusion Model Distillations.

Few-Step Diffusion via Score identity Distillation A Survey on Pre-Trained Diffusion Model Distillations

Reference 13

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local_arxiv, observed 2026-08-15T20:35:22.370572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.107126Z digest=sha256:2c9a3825ad9a7736ea9d5a8cfa2996758d00e3230e204c5f100a2088d470c834

Observation bc8c96fb-4ffb-4f83-a188-64996acfb35f · outbound

This paper cites Make-a-scene: Scene-based text-to-image generation with human priors.

Few-Step Diffusion via Score identity Distillation Make-a-scene: Scene-based text-to-image generation with human priors

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.115767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.113175Z digest=sha256:f8f8bfd226081f1314a5eb016df2dfb0f1d348ee00f29b26f53068805f473336

Observation 489326f3-4813-4b81-9503-edb4fcc4eb30 · outbound

This paper cites Generative adversarial nets.

Few-Step Diffusion via Score identity Distillation Generative adversarial nets

Reference 15

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.121514Z digest=sha256:3255173f52cc15cd0d8f645819870db5291f2484b48a4883c52df8a7b37a8873

Observation 76df2d2a-5a57-45fe-94ee-abb3ebbfc3b1 · outbound

This paper cites GAN s trained by a two time-scale update rule converge to a local N ash equilibrium.

Few-Step Diffusion via Score identity Distillation GAN s trained by a two time-scale update rule converge to a local N ash equilibrium

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.085796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.129884Z digest=sha256:de092c848ac5e07f7002466c4834c4219c23431af1a076c2642ed20712836a93

Observation c8567e76-7421-4617-afc7-b845a21e63ee · outbound

This paper cites Classifier-Free Diffusion Guidance.

Few-Step Diffusion via Score identity Distillation Classifier-Free Diffusion Guidance

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.140531Z digest=sha256:6126416626d097b3840dad52bc5aa8cb21681cd093c6a0736a987b36a556640b

Observation 76539672-d54b-4704-a9d4-500e93f66cf9 · outbound

This paper cites Denoising D iffusion P robabilistic M odels.

Few-Step Diffusion via Score identity Distillation Denoising D iffusion P robabilistic M odels

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.066315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.146260Z digest=sha256:de496c32c2f15e8a0019fa15a61eb34629f53d8ee65a297c012fa497b2bb5a0d

Observation 4f2bc2e9-1df9-4a43-800a-a656bbc30c37 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Few-Step Diffusion via Score identity Distillation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.158213Z digest=sha256:fc7d4d7a09a3a0f07b81a09e4bb4226df558f71871086025e57ac1bffb134a8c

Observation a7c54a70-db58-4c1d-b3fd-b9376cdf3ae9 · outbound

This paper cites Openclip, July 2021.

Few-Step Diffusion via Score identity Distillation Openclip, July 2021

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.167015Z digest=sha256:7687efc19049717758a879abbe21d3cdb2b4db0ee3bd433c8d41ab10b2a8d7d3

Observation 5950f30d-b4e3-40f7-a96a-b5ef84655306 · outbound

This paper cites Scaling up GANs for text-to-image synthesis.

Few-Step Diffusion via Score identity Distillation Scaling up GANs for text-to-image synthesis

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.047441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.173208Z digest=sha256:f00b9b916bc1398f4b7753e44209ce4808f939eba297413cb474d8bfafccaeb4

Observation 6c736e87-e0b9-4b7d-9ea7-b9690e1ca721 · outbound

This paper cites Distilling Diffusion Models into Conditional GANs.

Few-Step Diffusion via Score identity Distillation Distilling Diffusion Models into Conditional GANs

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:23.029102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.181436Z digest=sha256:0d49bcbc15aad66d5a0152d6c9102674c5fc2647ca44ae2298662c26c42ca096

Observation 25a5bf06-4dfb-4223-b8de-365beadef21e · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Few-Step Diffusion via Score identity Distillation Elucidating the design space of diffusion-based generative models

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.189165Z digest=sha256:8b76e2a7f51eefaf492713b2a0f83f55c48e34a3ddfec63fe5c75341f19bc3ac

Observation 7d0dccd6-7786-40a0-85f9-4ede001e94bb · outbound

This paper cites Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion.

Few-Step Diffusion via Score identity Distillation Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.195402Z digest=sha256:8f71ed9ffd77bb98173bcef49de2e7462898bb35e315ee7a52a8696917ff8b3d

Observation 500255b2-6416-4213-8922-954371ade298 · outbound

This paper cites Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation.

Few-Step Diffusion via Score identity Distillation Imagine Flash: Accelerating Emu Diffusion Models with Backward Distillation

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.202234Z digest=sha256:809955fa864824609453488aba71ffce226b7ee04d29581dbd6e425ccb6c5a1b

Observation f166d028-bae1-4a0b-b20b-c44278cddff3 · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Few-Step Diffusion via Score identity Distillation SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.213243Z digest=sha256:d556d350597a9d9c56b0e1ce61dcfdfe8cb2472950f93bf5633f81351e0ac0f9

Observation ff96b17a-5a2c-4ae4-afc4-511834de3d00 · outbound

This paper cites Sdxl-lightning: Progressive adversarial diffusion distillation.

Few-Step Diffusion via Score identity Distillation Sdxl-lightning: Progressive adversarial diffusion distillation

Reference 27

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raw_fallback, observed 2026-08-15T20:35:22.975232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.219513Z digest=sha256:93c49dfb4e9af9d87ec40b9373d1f88dc063d1305828b5a6a3250ae01f705e12

Observation d2d5107c-555b-4218-8403-4a67b8632a99 · outbound

This paper cites Pseudo numerical methods for diffusion models on manifolds.

Few-Step Diffusion via Score identity Distillation Pseudo numerical methods for diffusion models on manifolds

Reference 28

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raw_fallback, observed 2026-08-15T20:35:22.956098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.225848Z digest=sha256:9df3b4d481b01eef1fccc36989b762716e4bc75bbbf0ee88c27367dbec56cf88

Observation 70590bf7-69f0-4cfe-92e5-2d3675b9776c · outbound

This paper cites Rectified Flow: A Marginal Preserving Approach to Optimal Transport.

Few-Step Diffusion via Score identity Distillation Rectified Flow: A Marginal Preserving Approach to Optimal Transport

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.237024Z digest=sha256:90fff00e451457bd74708acc4ccdc7bb333c49c2f8f8a1a1f50c2bde4d15e929

Observation 920ea685-a03b-41fe-aea9-94183eea9b0e · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Few-Step Diffusion via Score identity Distillation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 30

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no resolver link, observed 2026-08-15T20:35:21.243708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.243708Z digest=sha256:5ffa5bce4e7cf355bc5cafebd87a3920ecb52f87f901f100ec17b50971128d7b

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

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

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

Reference 31

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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=sha256:3059b0c353e2dd878fd684a4a9bbcb9870ffb810b323de82577b640725867192

Observation 274189b9-8487-484c-9d7f-29e68fa8ce83 · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Few-Step Diffusion via Score identity Distillation DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 32

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no resolver link, observed 2026-08-15T20:35:21.258940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.258940Z digest=sha256:082aeec464f92fab3a17a156149c17d630dbd326cad60641e791f1f99b4613a4

Observation 7f164a3d-98bc-4912-b33c-c08aee294f61 · outbound

This paper cites DPM -solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps.

Few-Step Diffusion via Score identity Distillation DPM -solver: A fast ODE solver for diffusion probabilistic model sampling in around 10 steps

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.937829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.265363Z digest=sha256:b826eb12daf705903137b039486776075e28e259f0cce0a44c440b84c8286016

Observation 7e8c2dfc-c51f-4836-ace3-1411bf2b077d · outbound

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

Few-Step Diffusion via Score identity Distillation Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 35

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no resolver link, observed 2026-08-15T20:35:21.277549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.277549Z digest=sha256:ddae03fabdbc24b42abec87db49547866bd8f552a3aec0f7f552a60146b5add3

Observation 78870738-9fd0-4613-8004-7d2a4e82ad9e · outbound

This paper cites Diff-I nstruct: A universal approach for transferring knowledge from pre-trained diffusion models.

Few-Step Diffusion via Score identity Distillation Diff-I nstruct: A universal approach for transferring knowledge from pre-trained diffusion models

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.918505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.284043Z digest=sha256:8ae334b8daefc056bcdb39078404ee29dbd8ded7965bfeccc996900cf329e17f

Observation 49fb14cb-6bea-4a48-aa8a-5b4ab0c7a1e2 · outbound

This paper cites One-Step Diffusion Distillation through Score Implicit Matching.

Few-Step Diffusion via Score identity Distillation One-Step Diffusion Distillation through Score Implicit Matching

Reference 37

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no resolver link, observed 2026-08-15T20:35:21.292417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.292417Z digest=sha256:cfcd0a20db1f7d43b58fcd4aad5f706d5a9ea603074c5783202d7d3058c2034a

Observation 7be42410-b1fb-4b9c-b553-3541740ac6c3 · outbound

This paper cites On distillation of guided diffusion models.

Few-Step Diffusion via Score identity Distillation On distillation of guided diffusion models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.307519Z digest=sha256:7476a4e4353179b4e7dc1f51ade80d69bf965e0dae3d0e6133ee4af0c54b92c3

Observation d7105a40-9cad-4263-ad7d-038035acf10c · outbound

This paper cites SwiftBrush : One-step text-to-image diffusion model with variational score distillation.

Few-Step Diffusion via Score identity Distillation SwiftBrush : One-step text-to-image diffusion model with variational score distillation

Reference 39

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raw_fallback, observed 2026-08-15T20:35:22.887662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.313921Z digest=sha256:1d18ce867192e8bd10e91447b1027bd31d8b8c75064e9deaaa415bec1cdde19a

Observation bd2c327b-5a92-41b6-8b6a-bcd5321739b4 · outbound

This paper cites SNOOPI : Supercharged one-step diffusion distillation with proper guidance.

Few-Step Diffusion via Score identity Distillation SNOOPI : Supercharged one-step diffusion distillation with proper guidance

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.321045Z digest=sha256:4d64f622ebd6e1f74b20a809f5aaf8ebcb067425e274ec615890274015d9b0e8

Observation 62c26212-f666-4e43-8722-dfb961f58d8d · outbound

This paper cites GLIDE : Towards photorealistic image generation and editing with text-guided diffusion models.

Few-Step Diffusion via Score identity Distillation GLIDE : Towards photorealistic image generation and editing with text-guided diffusion models

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.869732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.330006Z digest=sha256:b2e73f2fc81db849b7530ee07e6bfd9cd16b408518555bcb688a1a2fe323d31f

Observation c4b71be9-d326-4274-826e-14e37c997335 · outbound

This paper cites SDXL : Improving latent diffusion models for high-resolution image synthesis.

Few-Step Diffusion via Score identity Distillation SDXL : Improving latent diffusion models for high-resolution image synthesis

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.843946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.340573Z digest=sha256:2dc3517ecec3171fda7ac560adb30ac5b6d73f61a6f836e39ce941bfcbc561a2

Observation 0299d2d7-d899-45d3-8e42-334d178697f8 · outbound

This paper cites Barron, and Ben Mildenhall.

Few-Step Diffusion via Score identity Distillation Barron, and Ben Mildenhall

Reference 43

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verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.825599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.346804Z digest=sha256:3e145ece9675d779c39d7b3dba203d3fa57701fdff48e782b58a7c543da5b4ef

Observation 6410de49-f35b-409f-b8a9-7ab00ab2b4d0 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Few-Step Diffusion via Score identity Distillation Learning transferable visual models from natural language supervision

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.809519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.352416Z digest=sha256:66d53973a6105e893c1cfefa8ba1f038933fbfbbe262fbcb0e7f1c111d115ac8

Observation 1f92faf6-4f0d-45a0-b090-891982757ef7 · outbound

This paper cites Zero-shot text-to-image generation.

Few-Step Diffusion via Score identity Distillation Zero-shot text-to-image generation

Reference 45

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no resolver link, observed 2026-08-15T20:35:21.362351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.362351Z digest=sha256:0f6d33620d5d3f1ab1786b63b0ac37d9762960fbfeaee3118b7e0b8c154dd428

Observation 43c813e9-005c-4fde-bf82-f769af1d0254 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Few-Step Diffusion via Score identity Distillation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 46

Resolution
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no resolver link, observed 2026-08-15T20:35:21.368436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.368436Z digest=sha256:6ce59f94fc394a35eea104db83d961e77c75dcfefe1818ca31780d2d0af59594

Observation 411ae02d-df3b-450c-ad74-0fae8a7e940f · outbound

This paper cites Hyper- SD : Trajectory segmented consistency model for efficient image synthesis.

Few-Step Diffusion via Score identity Distillation Hyper- SD : Trajectory segmented consistency model for efficient image synthesis

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.779211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.375621Z digest=sha256:9ccbcb8d2aaf6e7bfb6b069f87dcb7966004a83cf5328656d7a3a55caa09e6fb

Observation 374b7205-f06b-4966-8637-c09c939b489f · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Few-Step Diffusion via Score identity Distillation High-resolution image synthesis with latent diffusion models

Reference 48

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no resolver link, observed 2026-08-15T20:35:21.383197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.383197Z digest=sha256:8bec78bb124b87633ed44070d96d45a7f540c29aafb71867e3814398eecd8ee5

Observation 44f1e187-628e-4f7c-b493-d5399b6280da · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Few-Step Diffusion via Score identity Distillation Photorealistic text-to-image diffusion models with deep language understanding

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.748711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.389170Z digest=sha256:69b0795fd0c7f674d163eab9266da9196720a7970745d1fb7aea3b7ad1de2b97

Observation e905e464-4a06-4df5-bed1-ae1f1f3758fc · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Few-Step Diffusion via Score identity Distillation Progressive distillation for fast sampling of diffusion models

Reference 50

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no resolver link, observed 2026-08-15T20:35:21.394119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.394119Z digest=sha256:af8170eeb08df8541660c801387b967b00ef76d9666187d1afffa8ccfa0c8db3

Observation dca5bb56-fc29-4cfd-9fd0-52b9de21ebd7 · outbound

This paper cites StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis.

Few-Step Diffusion via Score identity Distillation StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Reference 51

Resolution
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no resolver link, observed 2026-08-15T20:35:21.401161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.401161Z digest=sha256:94080263d7e649ee9e4da2cac11e586b1b99153ce6b55d0233733c4d682a6184

Observation 76bd7566-0eb4-4e69-8e4b-ffbad9cc0f50 · outbound

This paper cites Adversarial Diffusion Distillation.

Few-Step Diffusion via Score identity Distillation Adversarial Diffusion Distillation

Reference 52

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no resolver link, observed 2026-08-15T20:35:21.407018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.407018Z digest=sha256:1650046e1861ea0fb8ac1d89e047bc61f4b2a8fdf520f3e6f0948c2a39b0c892

Observation 9734a60e-32ed-4f1b-98a5-bf583bb61e42 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Few-Step Diffusion via Score identity Distillation Deep unsupervised learning using nonequilibrium thermodynamics

Reference 53

Resolution
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no resolver link, observed 2026-08-15T20:35:21.412672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.412672Z digest=sha256:28adca21eddc4a55a234773281113af4adf076220a006d583a943ad49b1868a3

Observation ad00422b-4237-4903-98db-52470d261218 · outbound

This paper cites Denoising diffusion implicit models.

Few-Step Diffusion via Score identity Distillation Denoising diffusion implicit models

Reference 54

Resolution
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no resolver link, observed 2026-08-15T20:35:21.418530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.418530Z digest=sha256:e302098f729a5f4fd0c080d2ab2460fce147317e875871260b8b7388f136fb56

Observation 9d26cdc7-8603-4766-951c-d7fbf016e080 · outbound

This paper cites Generative M odeling by E stimating G radients of the D ata D istribution.

Few-Step Diffusion via Score identity Distillation Generative M odeling by E stimating G radients of the D ata D istribution

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.675112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.423835Z digest=sha256:96a761122ff8f7e2c2a5cf1fe99df9b135ff2f5895a285405eff7f8e89a1f90c

Observation 7b85fd93-5d76-4629-b056-d0836d88c07e · outbound

This paper cites Consistency Models.

Few-Step Diffusion via Score identity Distillation Consistency Models

Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.431084Z digest=sha256:0cf9ef5b83424ba83cbdf88faa173f27cb9344eea0a4dd688d8acbf2f6a5ce32

Observation a40266d9-c159-44b6-8992-82716978be4c · outbound

This paper cites Multi-student Diffusion Distillation for Better One-step Generators.

Few-Step Diffusion via Score identity Distillation Multi-student Diffusion Distillation for Better One-step Generators

Reference 57

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no resolver link, observed 2026-08-15T20:35:21.436807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.436807Z digest=sha256:b5372bc086d9c3b0bedc2b2938104817b405f114c2674bec916b00b61435fd7f

Observation 9f118cc9-d798-4a7d-8be7-49e219efa6b6 · outbound

This paper cites A connection between score matching and denoising autoencoders.

Few-Step Diffusion via Score identity Distillation A connection between score matching and denoising autoencoders

Reference 58

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no resolver link, observed 2026-08-15T20:35:21.441873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.441873Z digest=sha256:1a32059cce873ad1eb984035de0be9a3a9bac82d46bd4cbb6ec922fc426af0e1

Observation 3f01239a-1e86-4e94-a294-a163a1842386 · outbound

This paper cites Rectified diffusion: Straightness is not your need in rectified flow.

Few-Step Diffusion via Score identity Distillation Rectified diffusion: Straightness is not your need in rectified flow

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.644978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.447334Z digest=sha256:01f4ad9da3b81c02d6568f4bcb7d8bf03fa7249f2676da0508a9fcfdc78412f1

Observation 15ab216e-73e3-4468-a41f-2fb068c06b9e · outbound

This paper cites Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning.

Few-Step Diffusion via Score identity Distillation Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning

Reference 60

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no resolver link, observed 2026-08-15T20:35:21.452490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.452490Z digest=sha256:d9272d970c65b052f7ce99a8804df77670ec5ad7951d461dcc654e50d009a72f

Observation 5c5e67fa-2523-44e9-93fa-6e713e6da436 · outbound

This paper cites Diffusion-GAN : Training GANs with diffusion.

Few-Step Diffusion via Score identity Distillation Diffusion-GAN : Training GANs with diffusion

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.624524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.458160Z digest=sha256:0725c9315224bf508cd275367089bebf3c35e29e21727c1404d965cc7e141dbd

Observation badd81f7-259d-40c9-8096-d8a9b0e1da19 · outbound

This paper cites Prolific D reamer: High-fidelity and diverse text-to- 3D generation with variational score distillation, 2023.

Few-Step Diffusion via Score identity Distillation Prolific D reamer: High-fidelity and diverse text-to- 3D generation with variational score distillation, 2023

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.605387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.463827Z digest=sha256:621166ea5a307bb9d5dc2f1cc3c4c28a1506ffcc339494bb0dd8b805adfe4b41

Observation 9315f65a-ab08-4bc8-83e4-105279e54349 · outbound

This paper cites Tackling the Generative Learning Trilemma with Denoising Diffusion GANs.

Few-Step Diffusion via Score identity Distillation Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Reference 63

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no resolver link, observed 2026-08-15T20:35:21.468810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.468810Z digest=sha256:541199549e6acd0f03aeacd64b5430a9322c1676bcbe07d673c078b2085e63c0

Observation 3fc7fabd-7fe2-44c5-aee9-84e48ae01acb · outbound

This paper cites EM Distillation for One-step Diffusion Models.

Few-Step Diffusion via Score identity Distillation EM Distillation for One-step Diffusion Models

Reference 64

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no resolver link, observed 2026-08-15T20:35:21.473862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.473862Z digest=sha256:b04bff1c50810a38b06ce4f9cff79e5dcefea428726b57e4e391c3a88ba7c168

Observation 0a632abb-1f21-46cc-bd23-fbf3991cbbe5 · outbound

This paper cites UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs.

Few-Step Diffusion via Score identity Distillation UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs

Reference 65

Resolution
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no resolver link, observed 2026-08-15T20:35:21.478644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.478644Z digest=sha256:c7d257dccf15117f669734dea498a36fb0469bcc0a1eb9597ef67894f0f7f9f2

Observation 07d1f243-8517-4049-9428-eaa479dd1fe2 · outbound

This paper cites Pe RF low: Piecewise rectified flow as universal plug-and-play accelerator.

Few-Step Diffusion via Score identity Distillation Pe RF low: Piecewise rectified flow as universal plug-and-play accelerator

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.586888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.483911Z digest=sha256:386527a317caf3849f0e1a7b02cc0c749c8881c28bffa3f99191a3d9f68f3653

Observation 91d401b8-16df-4e29-9666-d35409cc660a · outbound

This paper cites A dense reward view on aligning text-to-image diffusion with preference.

Few-Step Diffusion via Score identity Distillation A dense reward view on aligning text-to-image diffusion with preference

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.565913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.489608Z digest=sha256:d4ecf730942ff3000f46d859ffccef7c796fe032e4f8a013dec1eaa73b0df3b3

Observation 25f9a314-7667-49e7-991e-28ed68e80cc5 · outbound

This paper cites Semi-implicit variational inference.

Few-Step Diffusion via Score identity Distillation Semi-implicit variational inference

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.546369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.495074Z digest=sha256:8d9da3656d4fc90f5f0335d0c7faa9f2d301f02e0857bc5d4fc0fc431c29997e

Observation 8235cafb-98d2-4792-b12e-c5360670f11c · outbound

This paper cites One-step Diffusion with Distribution Matching Distillation.

Few-Step Diffusion via Score identity Distillation One-step Diffusion with Distribution Matching Distillation

Reference 69

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no resolver link, observed 2026-08-15T20:35:21.500611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.500611Z digest=sha256:73696e4532cb16a9566481ef107610c58f17e4f1d0e399f9902eea81ce08e50f

Observation 1486f897-4bae-4e60-a79c-dbea28b9151b · outbound

This paper cites Improved Distribution Matching Distillation for Fast Image Synthesis.

Few-Step Diffusion via Score identity Distillation Improved Distribution Matching Distillation for Fast Image Synthesis

Reference 70

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no resolver link, observed 2026-08-15T20:35:21.509193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.509193Z digest=sha256:2f237ddacf4218ddb7e4d66d2ca7f6ede7938388a4bbc90e85a3ddc49be9b4ff

Observation a819e9e3-8ed6-4e46-94b3-cb39834a79bc · outbound

This paper cites One-step diffusion with distribution matching distillation, 2024 b.

Few-Step Diffusion via Score identity Distillation One-step diffusion with distribution matching distillation, 2024 b

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.523765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.515944Z digest=sha256:263e866d2ab8c2e4e5f0f80bd08028ba0ef8dc4285ab675808bfd3aa17f10358

Observation 85b9bb9a-dcb4-41b3-bb76-30b3e6e7c63f · outbound

This paper cites Scaling autoregressive models for content-rich text-to-image generation.

Few-Step Diffusion via Score identity Distillation Scaling autoregressive models for content-rich text-to-image generation

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.499609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.521627Z digest=sha256:842efa8e91811b4d2448fb51b5c9e8567790f4037096d5ef9e4a6d4a13c5388a

Observation 9e748173-3d09-42a4-bca1-31c7df07f517 · outbound

This paper cites Semi-implicit variational inference via score matching.

Few-Step Diffusion via Score identity Distillation Semi-implicit variational inference via score matching

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.480544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.527397Z digest=sha256:638d380848144c769ba0799484b874000c3cb1eb395a94c3d4de47ce71c4ceee

Observation 85bf52ec-3651-4ba8-917d-d9be7ba03f7e · outbound

This paper cites Towards training one-step diffusion models without distillation.

Few-Step Diffusion via Score identity Distillation Towards training one-step diffusion models without distillation

Reference 74

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no resolver link, observed 2026-08-15T20:35:21.534841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.534841Z digest=sha256:3d830e148df4fcbf9e68287430ffcb86462b6300ffdf09431630494835d9dfdd

Observation 72372ab9-aef7-4163-a111-40cb8256cd96 · outbound

This paper cites UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models.

Few-Step Diffusion via Score identity Distillation UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Reference 75

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no resolver link, observed 2026-08-15T20:35:21.541074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.541074Z digest=sha256:e2fc4bdd46c41ee67d79b85408859b100cb7be2d8b51e6af9c2dd157006eb3dc

Observation c1090df9-eec9-49ec-b322-ade70ee7dbe2 · outbound

This paper cites Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders.

Few-Step Diffusion via Score identity Distillation Truncated Diffusion Probabilistic Models and Diffusion-based Adversarial Auto-Encoders

Reference 76

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no resolver link, observed 2026-08-15T20:35:21.547117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:35:21.547117Z digest=sha256:c082a02d12aee5e7a3a4257e497d181ed55042cf8be672c256ab38ae7435508f

Observation 72a18889-f8a3-4061-a59c-4f738ffa3908 · outbound

This paper cites Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation.

Few-Step Diffusion via Score identity Distillation Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T20:35:21.552598Z

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source=arxiv_source observed=2026-08-15T20:35:21.552598Z digest=sha256:19d52bb742e16eafc17f63ba8d956f39a97cd1710cdb2968689f570a9e48efd2

Observation 0ef51d14-1d5f-48a7-ac89-28a6b9b9f70a · outbound

This paper cites Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation.

Few-Step Diffusion via Score identity Distillation Score identity distillation: Exponentially fast distillation of pretrained diffusion models for one-step generation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.463427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.558002Z digest=sha256:26deb4c02e9a3ba9c0637e83cd3e0822459263cd8c18e38bc66b740b500400fa

Observation 7e45f097-71b4-44b3-b49a-c4e51fcc0fbb · outbound

This paper cites Adversarial score identity distillation: Rapidly surpassing the teacher in one step.

Few-Step Diffusion via Score identity Distillation Adversarial score identity distillation: Rapidly surpassing the teacher in one step

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.445505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.565713Z digest=sha256:34107d524e4713d6bfca77f24b48cb4f2904b61fd3eb07c22633c1252dc6879e

Observation 41bfb84e-e2b1-46b9-b8a1-58488dfb986b · outbound

This paper cites Towards language-free training for text-to-image generation.

Few-Step Diffusion via Score identity Distillation Towards language-free training for text-to-image generation

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:35:22.428554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T20:35:21.571860Z digest=sha256:685676ed30d3eaedec6796f6e987e4d95e697a130cfb3e428861c414425ccd5d

Pith citing papers

Observation e55c4b2d-2806-48d8-96ec-c68c4068f7ca · inbound

Continuous-Time Distribution Matching for Few-Step Diffusion Distillation cites this paper.

Continuous-Time Distribution Matching for Few-Step Diffusion Distillation Few-Step Diffusion via Score identity Distillation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:51:09.319401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T13:28:42.083284Z digest=sha256:33f3c7b9a8013d2ec8919443323e6f0bde8050564ec6273c4b96b332b69b82a7

Observation dd717a4e-7514-4f2d-9164-459e5959d390 · inbound

Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment cites this paper.

Restoring Initial Noise Sensitivity in Text-to-Image Distillation via Geometric Alignment Few-Step Diffusion via Score identity Distillation

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T22:26:18.182528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T15:20:32.624323Z digest=sha256:6f2f39ed4956cb658ca2b10128dd58ef1256bb1da44b0da07d8272509a1e3c85

Observation 4168258e-999f-4bbf-8184-6ae34a2f30ce · inbound

A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms cites this paper.

A Decomposable Probe for Few-Step Diffusion Models: Prompt, Latent, and Score Selectivity across Backbone Families and Distillation Paradigms Few-Step Diffusion via Score identity Distillation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T03:47:04.311886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T03:47:04.311886Z digest=sha256:e68f56432be42e5dea0be287444b769b7549a676f1f420ebda09f561ffaab91c