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Paper Citation Record · LEDGER

Differentiable Solver Search for Fast Diffusion Sampling

As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2505.21114.

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

pith.paper-citation-record.v1
2505.21114 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:46:46.561389Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

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  • verified fuzzy2
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df6a92ad-4701-4153-a631-f0066c057d69 · outbound

This paper cites an unresolved cited work.

Differentiable Solver Search for Fast Diffusion Sampling Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:46:46.561389Z digest=sha256:74e273fb1bd6ce6254d637192034e82893a5156be1d3eeb33eed910f3fff0ab5

Observation a087a86b-dad0-4f01-9754-93c8366645d7 · outbound

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

Differentiable Solver Search for Fast Diffusion Sampling Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

Reference 6

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source=pdf_text observed=2026-08-07T13:46:44.732966Z digest=sha256:29209eb1ee83c70f0fc3a46482bc839cc0a3b57ec48585f6fd7d54836987f796

Observation f177cd9f-6149-4dd9-bb28-e60d4f0fc848 · outbound

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

Differentiable Solver Search for Fast Diffusion Sampling SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 7

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source=pdf_text observed=2026-08-07T13:46:44.833459Z digest=sha256:8a95b313bad390c74610e36e31db2bddfdb6c712136acc4fc290ee8480404573

Observation 5f75029b-0f66-4067-847d-7dddea6c7e22 · outbound

This paper cites Flow Matching for Generative Modeling.

Differentiable Solver Search for Fast Diffusion Sampling Flow Matching for Generative Modeling

Reference 8

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source=pdf_text observed=2026-08-07T13:46:44.912712Z digest=sha256:0eba1bd169da334686bf22814c3711ca138c538ebc3ba0fd9f1026bf89e79b3d

Observation ec7f922f-46ca-40ff-94d8-f1912936469c · outbound

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

Differentiable Solver Search for Fast Diffusion Sampling Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:45.023962Z digest=sha256:fcb52b421b5431909bb9c4d03cf62136bf2dde4afd2139cb5c5b3685b17d0ee5

Observation 1ae142b6-0adf-407d-9f4a-fb8be86f9d50 · outbound

This paper cites SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers.

Differentiable Solver Search for Fast Diffusion Sampling SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

Reference 10

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source=pdf_text observed=2026-08-07T13:46:45.076890Z digest=sha256:19159cbb261a1f2e1687e5f15ef460a059b389a14847f0922f36633a93fc2ff4

Observation 1199019a-b65b-4c30-8639-050d93ad17ee · outbound

This paper cites Align Your Steps: Optimizing Sampling Schedules in Diffusion Models.

Differentiable Solver Search for Fast Diffusion Sampling Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:45.187191Z digest=sha256:78a006cb51b5db8881fb5822237099d107a3cbc190293404742211bff81b6c8e

Observation 2fe243f1-3560-4843-bf85-8d341c2546ab · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

Differentiable Solver Search for Fast Diffusion Sampling Progressive Distillation for Fast Sampling of Diffusion Models

Reference 12

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source=pdf_text observed=2026-08-07T13:46:45.336101Z digest=sha256:784704b467347aaee77ee8b90149e56b95cc79ac3e7df0058742c85584e6069b

Observation 2106aa27-3312-49e6-b4a7-f39ad02edeaf · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Differentiable Solver Search for Fast Diffusion Sampling Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T13:46:47.527944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:46:45.412623Z digest=sha256:0d9758b983493983b3d08c23c24f3c7ae5b158bab82ed7035ab4e8ab356afd37

Observation 8652be96-e1ad-4fe2-a8b3-ddd9886f5215 · outbound

This paper cites Bespoke Solvers for Generative Flow Models.

Differentiable Solver Search for Fast Diffusion Sampling Bespoke Solvers for Generative Flow Models

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:45.517653Z digest=sha256:3b1db05cbd5042247be6c29b32429d157da7fed04fb0c2df6f804c1621977f1e

Observation edc49c41-a5ed-4a07-9830-3a63e0a90c76 · outbound

This paper cites Denoising Diffusion Implicit Models.

Differentiable Solver Search for Fast Diffusion Sampling Denoising Diffusion Implicit Models

Reference 15

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source=pdf_text observed=2026-08-07T13:46:45.598125Z digest=sha256:44b60e246c1045629a4abe4b776de2a86c9665d9f0ad5fedffc1dd8bdc5c0d68

Observation 441ff657-c01a-443d-a958-e1000ebb1969 · outbound

This paper cites Phased Consistency Models.

Differentiable Solver Search for Fast Diffusion Sampling Phased Consistency Models

Reference 17

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source=pdf_text observed=2026-08-07T13:46:45.788526Z digest=sha256:6c2cb90b65f05e9aaf38fed6401174431286f8e51d24b15aa79f4aeb80149ec5

Observation 7a4e49b8-de3d-4ad6-9fd1-715308145b7e · outbound

This paper cites FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution.

Differentiable Solver Search for Fast Diffusion Sampling FlowDCN: Exploring DCN-like Architectures for Fast Image Generation with Arbitrary Resolution

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:45.859176Z digest=sha256:168ea43772751538fe080b0fd3fae483a4a6a17e94f014d8ce296013f9072e1e

Observation 77d5879e-2437-47d1-9fa1-ef5a98924015 · outbound

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

Differentiable Solver Search for Fast Diffusion Sampling UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Reference 19

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unresolved
no resolver link, observed 2026-08-07T13:46:45.982603Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:45.982603Z digest=sha256:448c6783867a384b7f9d1e58d6870df796537bd3069979d685a4cd017159f6ee

Observation 08f47fb6-06a4-4618-b245-6cafbf584d0a · outbound

This paper cites FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner.

Differentiable Solver Search for Fast Diffusion Sampling FlowTurbo: Towards Real-time Flow-Based Image Generation with Velocity Refiner

Reference 20

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local_arxiv, observed 2026-08-07T13:46:46.744511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:46:46.096270Z digest=sha256:cdf9cb1a22ffed88edc275f9a153f30a0b286587cd354bd1de48b6c1ac3c2484

Observation f037546a-3930-47cd-a84c-32ddc5c81115 · outbound

This paper cites Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping.

Differentiable Solver Search for Fast Diffusion Sampling Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Reference 21

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source=pdf_text observed=2026-08-07T13:46:46.186058Z digest=sha256:9ecde6dc87fd77f56abb31578d62b449ebd09573855d21df82665019563dbecc

Observation bb329f1c-50c6-42f8-8eea-e91cb097d31c · outbound

This paper cites an unresolved cited work.

Differentiable Solver Search for Fast Diffusion Sampling Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:46:46.335917Z digest=sha256:ec5cc322e953facc2f4ad2114e6012cd24c11a2d0307e7413b59ccd67e327c0c

Observation 60206cd6-acbf-4116-b637-5234c4446841 · outbound

This paper cites Limitations.

Differentiable Solver Search for Fast Diffusion Sampling Limitations

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T13:46:47.211276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T13:46:46.441034Z digest=sha256:e729db28628230cd17e2136f35498cc77ce690d3b3a9ffca2ca83481258de6f4

Observation b1b7cf17-ed21-415e-ac66-e37806f08e9a · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Differentiable Solver Search for Fast Diffusion Sampling Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 1883

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source=pdf_text observed=2026-08-07T13:46:44.305364Z digest=sha256:fc9269a38ec30d8c5a312760dbead1c94f172843ac00e24ce4b1e0de911abcef

Observation b9bfd05f-6d97-43e0-a4e0-0ec57f4bef7f · outbound

This paper cites Distilling Diffusion Models into Conditional GANs.

Differentiable Solver Search for Fast Diffusion Sampling Distilling Diffusion Models into Conditional GANs

Reference 2020

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source=pdf_text observed=2026-08-07T13:46:44.622586Z digest=sha256:48eddeb8dc3e2c5b0bd116963b74f71b607f21a9aff4b341545e96c7fa671f50

Observation ff8c08b5-2741-417b-bdfe-609794eaed09 · outbound

This paper cites On the Trajectory Regularity of ODE-based Diffusion Sampling.

Differentiable Solver Search for Fast Diffusion Sampling On the Trajectory Regularity of ODE-based Diffusion Sampling

Reference 2022

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:44.366244Z digest=sha256:4c9a3bb0578ff01375bb877b8a034ae2e78cd4ddce1bd076fd930c2816ea8259

Observation feaf3134-0e15-4747-8289-d5020fd4d328 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Differentiable Solver Search for Fast Diffusion Sampling PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 2023

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source=pdf_text observed=2026-08-07T13:46:44.443170Z digest=sha256:952db714bed50e9663a0bb2b182f54e5e7cf5df4118139e000347db59dd2f218

Observation 54bc35a0-2d9c-4ef1-84a4-d9cabfb8b30d · outbound

This paper cites Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis.

Differentiable Solver Search for Fast Diffusion Sampling Fast Diffusion Probabilistic Model Sampling through the lens of Backward Error Analysis

Reference 2024

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:44.526408Z digest=sha256:381fb22f20ce248adcb159fb72d000349fb823f500c104838fed6d71cef61b1b

Observation 58d2fa87-b27d-48a0-bd1b-255d3da71217 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Differentiable Solver Search for Fast Diffusion Sampling Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2025

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:46:45.684965Z digest=sha256:ef5e64203af3705002af9f8d9cfdce5c1d9cb6a3efee5ccb2d2f723c3112a493

Pith citing papers

No inbound Pith citation observations are available.