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Paper Citation Record · LEDGER

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching

As of 12 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2506.05398.

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

pith.paper-citation-record.v1
2506.05398 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T12:07:24.908459Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:59:12.294502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T13:39:51.242767Z

Reference resolution

65 of 65 outbound references displayed

  • verified exact16
  • verified fuzzy47
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e0015623-c343-4f34-bfde-51a2d290250e · outbound

This paper cites Approximate caching for efficiently serving {Text-to-Image} diffusion models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Approximate caching for efficiently serving {Text-to-Image} diffusion models

Reference 1

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Observation 874a1c55-baa2-4d99-a7dd-a7ac328cb262 · outbound

This paper cites A minimization principle for the description of modes associated with finite-time instabilities.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching A minimization principle for the description of modes associated with finite-time instabilities

Reference 2

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Observation 0e027f37-2a1a-407f-9608-cebb9a10ea14 · outbound

This paper cites Reduced- order description of transient instabilities and computation of finite-time lyapunov exponents.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Reduced- order description of transient instabilities and computation of finite-time lyapunov exponents

Reference 3

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Observation 638eca5e-9a7b-448b-8afe-da9bc44778b1 · outbound

This paper cites All are worth words: A vit backbone for diffusion models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching All are worth words: A vit backbone for diffusion models

Reference 4

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Source-reported events for the cited work

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Observation 9a087cde-0009-4e5d-905d-0c3e7572ce39 · outbound

This paper cites Fast computation of finite-time lyapunov exponent fields for unsteady flows.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Fast computation of finite-time lyapunov exponent fields for unsteady flows

Reference 5

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Observation bd8a0ef0-7e38-45e2-bc99-f77dbc67587b · outbound

This paper cites Ld-pruner: Ef- ficient pruning of latent diffusion models using task-agnostic insights.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Ld-pruner: Ef- ficient pruning of latent diffusion models using task-agnostic insights

Reference 6

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Observation ee74710f-f713-4d0d-b00d-20599e68e764 · outbound

This paper cites Sobolev training for neural networks.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Sobolev training for neural networks

Reference 7

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Observation 7023d0f4-fba3-4264-a8ce-ae93923f5615 · outbound

This paper cites Genie: Higher-order denoising diffusion solvers.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Genie: Higher-order denoising diffusion solvers

Reference 8

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Observation 5ab91b97-2f8b-4d86-99c1-2f485a6b0722 · outbound

This paper cites Lyapunov spectra of chaotic recurrent neural networks.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Lyapunov spectra of chaotic recurrent neural networks

Reference 9

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arxiv_id, observed 2026-05-19T12:12:16.940591Z

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Observation acbdd0fc-e278-473b-afae-c8abebae2a4c · outbound

This paper cites Depgraph: Towards any structural pruning.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Depgraph: Towards any structural pruning

Reference 10

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Observation e227ed9e-9482-4858-bd35-c86d5aa75a04 · outbound

This paper cites Structural Pruning for Diffusion Models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Structural Pruning for Diffusion Models

Reference 11

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Observation 81be38f9-d0d2-4c60-a946-cc44e47fb532 · outbound

This paper cites Detection of lagrangian coherent structures in 3d turbulence.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Detection of lagrangian coherent structures in 3d turbulence

Reference 12

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Observation 77c9e332-07bc-47a3-8918-0afc1dc04317 · outbound

This paper cites Lagrangian coherent structures.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Lagrangian coherent structures

Reference 13

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Observation 65abdcdf-4589-48a5-bcb1-1f79f71b902d · outbound

This paper cites Lagrangian coherent structures and mixing in two- dimensional turbulence.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Lagrangian coherent structures and mixing in two- dimensional turbulence

Reference 14

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Observation fc04f9ca-c4df-4c86-bc7c-1e40a8cf00b1 · outbound

This paper cites Ordinary differential equations.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Ordinary differential equations

Reference 15

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Observation 5e8cc416-5f92-487b-b092-b1bc3a3a9d80 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 16

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Observation be6bc273-cd60-4d27-a09f-ed45cd03bf72 · outbound

This paper cites Denoising diffusion probabilistic models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Denoising diffusion probabilistic models

Reference 17

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Observation f3e0f42e-b63f-4c19-951f-1fef8222736e · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Estimation of non-normalized statistical models by score matching

Reference 18

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Observation 1dfce458-35da-4f7b-a6ef-b78928a19d16 · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Elucidating the design space of diffusion-based generative models

Reference 19

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Observation 564a5bc4-1a71-43c2-8922-1b00faef4ffd · outbound

This paper cites BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching BK-SDM: A Lightweight, Fast, and Cheap Version of Stable Diffusion

Reference 20

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Observation 7282d59d-118d-4270-9872-5e479ae6c7a5 · outbound

This paper cites Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Finite Time Lyapunov Exponent Analysis of Model Predictive Control and Reinforcement Learning

Reference 21

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1a3bfbf4-ffc2-4538-a4d4-4b857e961905 · outbound

This paper cites Learning multiple layers of features from tiny images.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Learning multiple layers of features from tiny images

Reference 22

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Observation 0ca0359e-1103-489a-98ac-91cdddc21eb7 · outbound

This paper cites Srdiff: Single image super-resolution with diffusion probabilistic models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Srdiff: Single image super-resolution with diffusion probabilistic models

Reference 23

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Observation e5cc4754-3197-47cb-bcd9-2205537ad01c · outbound

This paper cites Q-diffusion: Quantizing diffusion models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Q-diffusion: Quantizing diffusion models

Reference 24

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Observation 084d0669-812e-4248-8e3f-c60f5ad3cfd7 · outbound

This paper cites an unresolved cited work.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Unresolved cited work

Reference 25

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Observation dde9e1a6-d1dd-46fa-9734-4423806fa556 · outbound

This paper cites Oms-dpm: Optimizing the model schedule for diffusion probabilistic models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Oms-dpm: Optimizing the model schedule for diffusion probabilistic models

Reference 26

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Observation 668ba2ae-8c21-4c11-9de3-046f306f7ba7 · outbound

This paper cites Deep learning face attributes in the wild.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Deep learning face attributes in the wild

Reference 27

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation cd7ab1ab-ae71-4c10-9577-b8b4f86c5c47 · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 28

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ecfd7f50-4cdf-42d3-b0ee-a3ed46347ace · outbound

This paper cites Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed

Reference 29

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation c04c00f4-bc6e-4695-b1e4-a71a09a41d28 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Deepcache: Accelerating diffusion models for free

Reference 30

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 356fea7a-6309-4a81-8833-dde7cfa4fcd0 · outbound

This paper cites Dynamical entropy production in spiking neuron networks in the balanced state.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Dynamical entropy production in spiking neuron networks in the balanced state

Reference 31

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 037c9a84-6b65-42e0-b34b-2690fd07c556 · outbound

This paper cites Improved denoising diffusion probabilistic models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Improved denoising diffusion probabilistic models

Reference 32

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation d661872a-fd08-4bae-9b58-7b2709dbcb9d · outbound

This paper cites Horizontal dispersion of floatable particles in the vicinity of velocity singularities such as convergences.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Horizontal dispersion of floatable particles in the vicinity of velocity singularities such as convergences

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:244dccf693a01e336bff337b0a4e069adb836d8a88ba15aa9688684b1ea9ecc3

Observation b6eeb9d3-c3de-416a-a33c-da4985bd0617 · outbound

This paper cites Oseledets theorem.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Oseledets theorem

Reference 34

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raw_fallback, observed 2026-05-19T12:12:17.478139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:29873aa06817af28d29dc9f803e65e25306f96a6240a347ff9e31e53eb0b0a9c

Observation 37eee638-067f-4981-9ad7-e086de16548a · outbound

This paper cites T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching

Reference 35

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arxiv_id, observed 2026-05-19T12:12:16.943958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:dcc72241f0ab3e291201fda29d00bdec64576d9d27ca32521176978c2af36bb2

Observation cad5b50f-d205-4c8b-b9b1-4dfd670b7467 · outbound

This paper cites Zero-shot image-to-image translation.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Zero-shot image-to-image translation

Reference 36

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raw_fallback, observed 2026-05-19T12:12:17.480166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:2fa03a67205cecbdc568c78894359c59d5be277b2ad4a5701243943f8bca1679

Observation 86d69354-36ca-484c-aaee-bc79d37d9d8b · outbound

This paper cites Scalable diffusion models with transformers.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Scalable diffusion models with transformers

Reference 37

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raw_fallback, observed 2026-05-19T12:12:17.579888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:118e33675f9f7a119aea8de8361f98eca5d73ae6e5b1bc99d2203c9319de1c44

Observation a3440c75-4e43-4635-8123-c304f0ab1da0 · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching High- resolution image synthesis with latent diffusion models

Reference 38

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raw_fallback, observed 2026-05-19T12:12:17.508473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:a0988a4f1e313dc86206fb5f9ec08c5268942a8afc8b7a44b9269a2caab700dd

Observation c4914530-ba63-4403-9b80-199f90b8a851 · outbound

This paper cites Ergodic theory of differentiable dynamical systems.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Ergodic theory of differentiable dynamical systems

Reference 39

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raw_fallback, observed 2026-05-19T12:12:17.558609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:fe2aa237f7466aea7a4550c0a77890c295cc2830469ad220a3b4ba913f246666

Observation 67918085-4bc8-44bd-af7c-5165fd57adc2 · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Photorealistic text-to-image diffusion models with deep language understanding

Reference 40

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raw_fallback, observed 2026-05-19T12:12:17.562665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:186ee8867ab693d04127169aa9636f35c2bed5f114c88cc550f2aa54a5958701

Observation 5a2ddf70-a0cd-484b-b3d1-43fc8a1dd118 · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Progressive Distillation for Fast Sampling of Diffusion Models

Reference 41

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local_arxiv, observed 2026-05-19T12:12:16.956301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:e7a1a09eaffb9f75feccf20671e7f0552615bb30e0aab1bb2b7b08a31504274c

Observation b5c66f3e-1289-4c8d-9925-d90422fdcdab · outbound

This paper cites Lagrangian coherent structures.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Lagrangian coherent structures

Reference 42

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raw_fallback, observed 2026-05-19T12:12:17.591552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:f692328fc4a2fb41bb18a234641673b31f70cf36eb9af68ccab455764c79d349

Observation ac9d3721-8576-4d6d-8f27-d46173ba3314 · outbound

This paper cites Definition and properties of la- grangian coherent structures from finite-time lyapunov exponents in two-dimensional aperiodic flows.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Definition and properties of la- grangian coherent structures from finite-time lyapunov exponents in two-dimensional aperiodic flows

Reference 43

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raw_fallback, observed 2026-05-19T12:12:17.573746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:2ce33b0b1196a6bd4eef75a64ffaef322300a94abe379a971a0f66b47e3dab0c

Observation 82522f6d-29a7-4594-9ec4-7c2e9d958c4a · outbound

This paper cites Post-training quantization on diffusion models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Post-training quantization on diffusion models

Reference 44

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raw_fallback, observed 2026-05-19T12:12:17.514839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:6d2902cce749839a31eb4cad5c20260bcb9faeb3d4c64ad0a488e81a3df85794

Observation d5e09d67-5268-4d64-a2d5-d726ebf0eea2 · outbound

This paper cites Reverse engineering recurrent neural networks with jacobian switching linear dynamical systems.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Reverse engineering recurrent neural networks with jacobian switching linear dynamical systems

Reference 45

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raw_fallback, observed 2026-05-19T12:12:17.556429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:21c28832f965024543a17905cca0339526936fecd9800866c3c8dca9c366623d

Observation 3f8268ad-f7e4-4ee8-9229-6d34d0988a2e · outbound

This paper cites Denoising Diffusion Implicit Models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Denoising Diffusion Implicit Models

Reference 46

Resolution
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local_arxiv, observed 2026-05-19T12:12:16.950977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:0a3f67c49617ca9027f0bdefeade1f43022d1b48e5f2089334a0571acdd803c3

Observation 97c06ebd-00cb-4310-aced-c88798c587c1 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Generative modeling by estimating gradients of the data distribution

Reference 47

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raw_fallback, observed 2026-05-19T12:12:17.484919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:68c7ec9b4b08cdde04e09dac2139f1ed2cade32972656a9bd725d4980e584b5d

Observation a842d9ad-5643-4715-a91e-9abba99b923c · outbound

This paper cites Sliced score matching: A scalable approach to density and score estimation.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Sliced score matching: A scalable approach to density and score estimation

Reference 48

Resolution
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raw_fallback, observed 2026-05-19T12:12:17.564569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:d6d3cdb93b15d7531201aa04faa0bb9c1f9fc53ecf625f50a2f8ce699ca02ff2

Observation 223f5adb-1a29-412a-81d2-953b9a3ac91f · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Score-Based Generative Modeling through Stochastic Differential Equations

Reference 49

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local_arxiv, observed 2026-05-19T12:12:16.992390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:5b802d4a445a038d57a519e48631b85c3151f71bcf45adc15a4ae460df5a7dff

Observation e5737a17-35ef-48fa-a359-bbd5083e4d97 · outbound

This paper cites Knowledge transfer with jacobian matching.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Knowledge transfer with jacobian matching

Reference 50

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raw_fallback, observed 2026-05-19T12:12:17.523746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:56cf98287c40867eadce1c3346033cde33216cd0b707d0128022b7b0a1d6e564

Observation 35491248-6cc5-4e0e-8eb1-69ab5c470afc · outbound

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

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching A connection between score matching and denoising autoencoders

Reference 51

Resolution
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raw_fallback, observed 2026-05-19T12:12:17.526725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:d2e922e497b026079640b060bc9e5dcb5d0d3c86ca7a4c5a5fd5f52c2751b1a8

Observation 67978f21-86c5-4c1b-bec1-978a6713974c · outbound

This paper cites Lyapunov-guided representation of recurrent neural network performance.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Lyapunov-guided representation of recurrent neural network performance

Reference 52

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raw_fallback, observed 2026-05-19T12:12:17.486838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:b5417a76171bfd70b7e7eede0cf0e90698bf09e1cf4ddfa2ab116ec00654d15f

Observation 2d0e1393-e404-47d5-955d-c4c4f549e226 · outbound

This paper cites SparseDM: Toward Sparse Efficient Diffusion Models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching SparseDM: Toward Sparse Efficient Diffusion Models

Reference 53

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arxiv_id, observed 2026-05-19T12:12:16.974115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:1ddb4ecd542507c00333cc6682091e5e4334851cedbc517edb029f8d84d5d7de

Observation 694c90a5-d2a9-45af-81b2-942b202680a9 · outbound

This paper cites Learning to Efficiently Sample from Diffusion Probabilistic Models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Learning to Efficiently Sample from Diffusion Probabilistic Models

Reference 54

Resolution
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arxiv_id, observed 2026-05-19T12:12:16.966851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:ce9ffe86972d11117cfbd58f560d3d39a86ce42fcce267ccf837011ce35b19a8

Observation 55e92e8a-4f16-457c-a321-a26cc2e1688a · outbound

This paper cites Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Learning Fast Samplers for Diffusion Models by Differentiating Through Sample Quality

Reference 55

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arxiv_id, observed 2026-05-19T12:12:16.947547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:fc77293d9d86ab7f5c3d69353913f855baad5ee82b9deeec2cc6dc9ab0154147

Observation 8926ebb1-016d-4b2d-8c93-881c56da4628 · outbound

This paper cites The dynamics of enstrophy transfer in two-dimensional hydrodynamics.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching The dynamics of enstrophy transfer in two-dimensional hydrodynamics

Reference 56

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raw_fallback, observed 2026-05-19T12:12:17.488706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:b6e56e0343c42ecc928bedd49d010769dddc8654c295021019d9054563b424ba

Observation a2ca5579-28b1-4a4b-9b64-081a5877d71d · outbound

This paper cites Cache me if you can: Accelerating diffusion models through block caching.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Cache me if you can: Accelerating diffusion models through block caching

Reference 57

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raw_fallback, observed 2026-05-19T12:12:17.516820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:c54f5dc0bf1e9583457c70a8dbbedcaf4e2eb5c4d3893a56b5ab519b54f5d35f

Observation 03ccf53d-7ef0-4d37-9e2d-012da8193f7d · outbound

This paper cites Diffusion probabilistic modeling for video generation.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Diffusion probabilistic modeling for video generation

Reference 58

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raw_fallback, observed 2026-05-19T12:12:17.531692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:c7fe65d6520ac1131497f7277d903db2cdea796c7f170a6ffc44ec8908be1a73

Observation c64ad05f-fbc7-4482-bc0b-3d8e8236b154 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 59

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local_arxiv, observed 2026-05-19T12:12:16.989129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:8e2032bb9f45aa5a3b082cd64f88ff2129969925361c98605dc299664d5f410d

Observation e163471d-4b23-4599-b38f-6c9919407284 · outbound

This paper cites LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models

Reference 60

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arxiv_id, observed 2026-05-19T12:12:16.996877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:71b0d12407821241d7d5364b2a26a272b9544273559d959a133f8dd7d2b8878a

Observation b83e775b-0821-4454-9ffd-daede732c8d3 · outbound

This paper cites Accelerating Diffusion Models with One-to-Many Knowledge Distillation.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Accelerating Diffusion Models with One-to-Many Knowledge Distillation

Reference 61

Resolution
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arxiv_id, observed 2026-05-19T12:12:16.985688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:3c0fde59ee9d370d1663528d19a77ff759fde4bafaa9371f30613c3769c1e36b

Observation d7b56e2d-869a-4401-8b45-6d96c706523d · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Fast Sampling of Diffusion Models with Exponential Integrator

Reference 62

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arxiv_id, observed 2026-05-19T12:12:16.960095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:25d48cd80a53d8befc8db84ae303d4756ec25ece0db2a3d714b4f25240a5a12d

Observation d6275769-0cc4-4963-ba67-cfff8cfc5aa6 · outbound

This paper cites Effortless efficiency: Low-cost pruning of diffusion models.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Effortless efficiency: Low-cost pruning of diffusion models

Reference 63

Resolution
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arxiv_id, observed 2026-05-19T12:12:17.001391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:366b3117c7adf6b7fe0b20b9940864757f0dfa73f9419b3705f03e63d002a69c

Observation eabd2ff1-fc51-4471-8a63-8f34cb177227 · outbound

This paper cites Hyperpruning: Efficient pruning through lyapunov metric hypersearch.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Hyperpruning: Efficient pruning through lyapunov metric hypersearch

Reference 64

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raw_fallback, observed 2026-05-19T12:12:17.506267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:638657c4841417a1dca2cec8eb88caa54e16de8faf0e5b89b7ca56a1fff8482b

Observation 3d8be833-1859-4946-8fb4-ddf454862273 · outbound

This paper cites Dip-go: A diffusion pruner via few-step gradient optimization.

2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching Dip-go: A diffusion pruner via few-step gradient optimization

Reference 65

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raw_fallback, observed 2026-05-19T12:12:17.587601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T12:07:24.908459Z digest=sha256:8a7151f5837adb42c45e670141bcc6273d001027bc8d7a0c20ea4c6125c4d743

Pith citing papers

Observation d57ad258-6e86-4ed1-8bed-34a937bd5cb9 · inbound

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing cites this paper.

TMP: Tree-structured Mixed-policy Pruning for Large-scale Image Generation and Editing 2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching

Reference 15

Resolution
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local_arxiv, observed 2026-07-04T13:39:51.244817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-26T04:59:12.294502Z digest=sha256:452fb207ae9954fe7bc72ea74da657c915986ae2d6ec621b530eac6841567d29