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Paper Citation Record · LEDGER

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning

As of 13 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2411.12073.

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

pith.paper-citation-record.v1
2411.12073 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:00:29.279543Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87641e35-c4b3-411c-9558-a7d1f3f657f5 · outbound

This paper cites Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Unconstrained Open Vocabulary Image Classification: Zero-Shot Transfer from Text to Image via CLIP Inversion

Reference 1

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Observation 5095abe7-ae1e-44d8-9b31-23084d237b86 · outbound

This paper cites A self explanatory review of decision tree classifiers.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning A self explanatory review of decision tree classifiers

Reference 2

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Observation 449f97fb-1b6d-4d2f-9474-56819e05ab03 · outbound

This paper cites Multidiffusion: Fusing diffusion paths for controlled image generation.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Multidiffusion: Fusing diffusion paths for controlled image generation

Reference 3

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Observation b09c6518-85bf-4d47-b4e2-6f90daccaebe · outbound

This paper cites Improving image generation with better captions.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Improving image generation with better captions

Reference 4

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Observation 57f55f6a-9a69-4f8f-bd3e-b77418a465c5 · outbound

This paper cites Your Diffusion Model is Secretly a Certifiably Robust Classifier.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Your Diffusion Model is Secretly a Certifiably Robust Classifier

Reference 5

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Observation f71893d5-63df-4d18-bc9b-8bbb0c1454d3 · outbound

This paper cites Diffusion models are certifiably robust classifiers.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Diffusion models are certifiably robust classifiers

Reference 6

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Observation 99070fab-b018-433c-ab7a-36f383b642cd · outbound

This paper cites Text-to-image diffusion mod- els are zero-shot classifiers, 2023.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Text-to-image diffusion mod- els are zero-shot classifiers, 2023

Reference 7

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 39aa0925-ccb5-489d-9185-2b291a4fe2cd · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Imagenet: A large-scale hierarchical image database

Reference 8

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Observation 79241f9c-e047-43df-acbd-58abeaac4623 · outbound

This paper cites Diffusion models beat gans on image synthesis.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Diffusion models beat gans on image synthesis

Reference 9

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Observation 20ec7151-603c-4b40-9ca3-ed65b195aead · outbound

This paper cites Robustness (python library),.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Robustness (python library),

Reference 10

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Observation ad99df0f-805d-4eb8-abd2-270ee8e01fb8 · outbound

This paper cites Adversarial text-to-image synthesis: A review.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Adversarial text-to-image synthesis: A review

Reference 11

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Observation 3da6790f-283d-4577-9dbe-591f209bcaa1 · outbound

This paper cites SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning SpotDiffusion: A Fast Approach For Seamless Panorama Generation Over Time

Reference 12

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Observation 529b171d-66d4-4d64-92ea-322de7e4f05d · outbound

This paper cites Predictability and surprise in large generative models.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Predictability and surprise in large generative models

Reference 13

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Observation bf1eb285-8f2c-410c-88e9-f4753f5d3ac4 · outbound

This paper cites Generative adversarial networks.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Generative adversarial networks

Reference 14

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Observation c2f0ba87-7595-4e3f-aee6-aea4091e02bd · outbound

This paper cites To recognize shapes, first learn to generate images.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning To recognize shapes, first learn to generate images

Reference 15

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Observation 31ba8755-745c-46d5-8462-e8494ada0695 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Denoising dif- fusion probabilistic models

Reference 16

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Observation f5701866-5d4e-48d2-9f37-79ac798422c5 · outbound

This paper cites Random decision forests.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Random decision forests

Reference 17

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Observation 0c91259f-84e5-4833-a54e-2328b62b2bd6 · outbound

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

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Learning multiple layers of features from tiny images

Reference 18

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Observation 8db5e36f-5857-4895-8fc2-63d1f858ed8a · outbound

This paper cites Your diffusion model is secretly a zero-shot classifier.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Your diffusion model is secretly a zero-shot classifier

Reference 19

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Observation b0959831-e77a-463f-9a21-1ff11f21137d · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Repaint: Inpainting using denoising diffusion probabilistic models

Reference 20

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Observation 9953bb07-26de-4029-ab55-9192e161d10b · outbound

This paper cites A survey of de- cision trees: Concepts, algorithms, and applications.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning A survey of de- cision trees: Concepts, algorithms, and applications

Reference 21

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Observation c087f92a-6537-43b6-8a6c-55a0f0f27c78 · outbound

This paper cites Latent dataset distillation with diffusion models.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Latent dataset distillation with diffusion models

Reference 22

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Observation c96197c4-535e-4e6b-94f7-b54642c76c5f · outbound

This paper cites Diffusion Models, Image Super-Resolution And Everything: A Survey.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Diffusion Models, Image Super-Resolution And Everything: A Survey

Reference 23

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Observation 8e84b6e3-9dc7-4f39-bc05-d5ab3d1ce5ae · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Learning transferable visual models from natural language supervision, 2021

Reference 24

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Observation 6c81017b-455c-4555-bae1-77f329e95162 · outbound

This paper cites Variational inference with normalizing flows.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Variational inference with normalizing flows

Reference 25

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Observation d26ab3ef-8512-40ee-a758-40662ae264fc · outbound

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

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning High-resolution image synthesis with latent diffusion models

Reference 26

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Observation ad251edc-cf27-404d-a747-4a9dca8eb8cd · outbound

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

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Pho- torealistic text-to-image diffusion models with deep language understanding

Reference 27

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Observation 80f218ba-be4a-41ac-8179-fd76506bb91e · outbound

This paper cites Laion- 5b: An open large-scale dataset for training next generation image-text models, 2022.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Laion- 5b: An open large-scale dataset for training next generation image-text models, 2022

Reference 28

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Observation 94aaddd5-2a73-4fec-be73-8a3962d5cb95 · outbound

This paper cites Uncovering the disentanglement capability in text-to-image diffusion models.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Uncovering the disentanglement capability in text-to-image diffusion models

Reference 29

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Observation a5d78e30-8b11-4dea-814c-c37135e51733 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Just Leaf It: Accelerating Diffusion Classifiers with Hierarchical Class Pruning Adding conditional control to text-to-image diffusion models

Reference 30

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Pith citing papers

No inbound Pith citation observations are available.