Paper Citation Record · LEDGER

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning

As of 16 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2412.17219.

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

pith.paper-citation-record.v1
2412.17219 v2

Coverage vector

measured 62 of 62 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

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Outbound references

Observation 69cb04f4-12c3-4fcb-aec1-05b8cad51119 · outbound

This paper cites Synthetic Data from Diffusion Models Improves ImageNet Classification.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Synthetic Data from Diffusion Models Improves ImageNet Classification

Reference 1

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Observation 7a04d737-1c3f-4a28-b57c-48af7bebc4d5 · outbound

This paper cites Longformer: The Long-Document Transformer.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Longformer: The Long-Document Transformer

Reference 2

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Observation 87fd417c-98a8-4f04-9b8a-eca730d4cf91 · outbound

This paper cites iedit: Lo- calised text-guided image editing with weak supervision.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning iedit: Lo- calised text-guided image editing with weak supervision

Reference 3

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Observation a9d76d72-f16f-4790-a8c1-9b3963031f86 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 4

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Observation 60781cd9-ab32-4fdc-97f7-b76ae6cc5aed · outbound

This paper cites Free: Feature re- finement for generalized zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Free: Feature re- finement for generalized zero-shot learning

Reference 5

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Observation 20adcb1d-b14b-4615-a377-2ee48c11a530 · outbound

This paper cites Hsva: Hierarchical semantic-visual adaptation for zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Hsva: Hierarchical semantic-visual adaptation for zero-shot learning

Reference 6

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Observation 89907d5f-7632-47bf-9896-812a1571bc74 · outbound

This paper cites Evolving semantic prototype improves generative zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Evolving semantic prototype improves generative zero-shot learning

Reference 7

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Observation dd028d70-47ab-4a2d-b8c9-5945cc6a695a · outbound

This paper cites Causal visual-semantic correlation for zero- shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Causal visual-semantic correlation for zero- shot learning

Reference 8

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Observation ca818172-f9d1-4ff6-ab2c-c92c75b3db6c · outbound

This paper cites Progressive semantic-guided vision transformer for zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Progressive semantic-guided vision transformer for zero-shot learning

Reference 9

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Observation 6ea472ab-f11d-418b-bc08-b4beddbba6c1 · outbound

This paper cites Duet: Cross- modal semantic grounding for contrastive zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Duet: Cross- modal semantic grounding for contrastive zero-shot learning

Reference 10

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Observation 220b494a-4ba8-417d-a1ff-354c0ddd0374 · outbound

This paper cites Latentpaint: Image inpainting in latent space with diffusion models.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Latentpaint: Image inpainting in latent space with diffusion models

Reference 11

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Observation f0010aa6-ab60-4adf-9a36-a0abc3a181e5 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

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Observation 28e18c5a-1b20-4087-b151-2370a600e3c6 · outbound

This paper cites Dream the impossible: Outlier imagination with diffusion models.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Dream the impossible: Outlier imagination with diffusion models

Reference 13

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Observation 56e595b3-cef7-475a-8da4-0dd602392440 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 14

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Observation 7c3da05f-1caf-4175-8c76-21450aeba326 · outbound

This paper cites Generative adversarial nets.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Generative adversarial nets

Reference 15

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Observation 8eb57996-6dd5-4afa-9c53-86d97271b1a9 · outbound

This paper cites Is synthetic data from generative models ready for image recognition?.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Is synthetic data from generative models ready for image recognition?

Reference 16

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Observation a477f83b-0604-4272-ab42-3e8e5b4b35e4 · outbound

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

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 17

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Observation a497fb93-9205-45bf-9c00-1d6e89dc5a6b · outbound

This paper cites Classifier-Free Diffusion Guidance.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Classifier-Free Diffusion Guidance

Reference 18

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Observation 62b8bcf6-72f0-493e-b8cc-03df09e414b9 · outbound

This paper cites Denoising dif- fusion probabilistic models.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Denoising dif- fusion probabilistic models

Reference 19

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This paper cites Visual-augmented dynamic seman- tic prototype for generative zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Visual-augmented dynamic seman- tic prototype for generative zero-shot learning

Reference 20

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Observation 27d0ca3d-9a4b-4b3c-8a74-ef277c6b9099 · outbound

This paper cites Fine-grained generalized zero-shot learning via dense attribute-based attention.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Fine-grained generalized zero-shot learning via dense attribute-based attention

Reference 21

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Observation 644540bb-df9e-4613-954c-dc5b21695dc0 · outbound

This paper cites Transferable contrastive network for generalized zero- shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Transferable contrastive network for generalized zero- shot learning

Reference 22

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Observation 534a081c-aaf7-4b90-81ff-5ad0dd5cc0b8 · outbound

This paper cites Kingma and M.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Kingma and M

Reference 23

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Observation f2d8f252-7ae0-4468-8cfe-fc2a9ddeee6e · outbound

This paper cites Learning to detect unseen object classes by between- class attribute transfer.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Learning to detect unseen object classes by between- class attribute transfer

Reference 24

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Observation df8a1cd0-d893-486e-8bac-f1f9353f2132 · outbound

This paper cites Your diffusion model is secretly 9 a zero-shot classifier.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Your diffusion model is secretly 9 a zero-shot classifier

Reference 25

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Observation 94a37a57-e128-4250-aa78-2fb80f591ecf · outbound

This paper cites Towards understanding cross and self-attention in stable diffusion for text-guided image editing.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Towards understanding cross and self-attention in stable diffusion for text-guided image editing

Reference 26

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Observation c2ef4540-270d-4011-9853-b52f5b9ad8b2 · outbound

This paper cites Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Structure matters: Tackling the semantic discrepancy in diffusion models for image inpainting

Reference 27

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Observation caa7060b-a023-4772-9d08-fc747d4df478 · outbound

This paper cites Progressive semantic-visual mutual adap- tion for generalized zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Progressive semantic-visual mutual adap- tion for generalized zero-shot learning

Reference 28

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Observation 132acfb2-dbf2-4fac-98dc-d2524df8ec1f · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Distributed representations of words and phrases and their compositionality

Reference 29

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Observation d3e729b7-a552-4f6b-9862-30c0d77b2b70 · outbound

This paper cites A generative model for zero shot learn- ing using conditional variational autoencoders.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning A generative model for zero shot learn- ing using conditional variational autoencoders

Reference 30

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Observation f2097dd8-4910-49f9-8256-be89d09c0582 · outbound

This paper cites I2dformer: Learning image to document attention for zero-shot image classification.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning I2dformer: Learning image to document attention for zero-shot image classification

Reference 31

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This paper cites I2mvformer: Large language model generated multi-view document supervi- sion for zero-shot image classification.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning I2mvformer: Large language model generated multi-view document supervi- sion for zero-shot image classification

Reference 32

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Observation d1bfd60e-cd4f-46a7-a900-73e1c0b40f69 · outbound

This paper cites I2dformer+: Learning image to doc- ument summary attention for zero-shot image classification.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning I2dformer+: Learning image to doc- ument summary attention for zero-shot image classification

Reference 33

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Observation 29a96fd3-287d-45fa-a658-e8762ced72f1 · outbound

This paper cites Latent embedding feedback and discriminative features for zero-shot classification.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Latent embedding feedback and discriminative features for zero-shot classification

Reference 34

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Observation 92307c86-be61-439e-9444-998d258cc8ec · outbound

This paper cites Automated flower classification over a large number of classes.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Automated flower classification over a large number of classes

Reference 35

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Observation afc15c2d-fc83-4e73-9034-b7b5cf4cb5ea · outbound

This paper cites Sun attribute database: Discovering, annotating, and recognizing scene attributes.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Sun attribute database: Discovering, annotating, and recognizing scene attributes

Reference 36

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Observation 04685be9-63fe-4c75-80bf-f435fb623433 · outbound

This paper cites Glove: Global vectors for word representation.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Glove: Global vectors for word representation

Reference 37

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Observation 0c3470f3-aeb1-4762-aff5-a6d7fb1698f8 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Learning transferable visual models from natural language supervi- sion

Reference 38

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Observation c4d1393f-1cf4-4ddf-a399-44c9c2a5c78b · outbound

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

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 39

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This paper cites Learning deep representations of fine-grained visual descrip- tions.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Learning deep representations of fine-grained visual descrip- tions

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.547618Z

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Observation d0a3ccac-f2fa-4c7d-a712-fe132013526f · outbound

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

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning High-resolution image synthesis with latent diffusion models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.533038Z

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Observation 2f0850df-1fde-4132-b2f5-591f6cc4051c · outbound

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

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Photorealistic text-to-image diffusion models with deep language understanding

Reference 42

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This paper cites Term-weighting ap- proaches in automatic text retrieval.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Term-weighting ap- proaches in automatic text retrieval

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.508321Z

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Observation ae2e801f-4f11-499a-b06a-32cc3796d642 · outbound

This paper cites Generalized zero-and few-shot learning via aligned variational autoencoders.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Generalized zero-and few-shot learning via aligned variational autoencoders

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.492946Z

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Observation 2ebed335-6e83-4dcf-8389-abd5fe0986de · outbound

This paper cites Discriminative class tokens for text-to-image diffusion models.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Discriminative class tokens for text-to-image diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.476498Z

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Observation 1142c381-ae5b-4410-9c53-63526cd86681 · outbound

This paper cites Zero-shot learning through cross-modal transfer.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Zero-shot learning through cross-modal transfer

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.461634Z

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Observation 7ec3ecc6-4c8c-4dd5-809d-416b50ad1529 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Deep unsupervised learning using nonequilibrium thermodynamics

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.446166Z

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Observation 48b3fc77-cc4f-464a-8207-2303ca722bae · outbound

This paper cites Mpnet: Masked and permuted pre-training for language understanding.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Mpnet: Masked and permuted pre-training for language understanding

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.431190Z

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Observation 575a1201-1d23-4888-8849-b6acdd4dbb18 · outbound

This paper cites Learning vision from mod- 10 els rivals learning vision from data.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Learning vision from mod- 10 els rivals learning vision from data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.416533Z

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Observation 6304ed2c-ad40-4a34-b369-eb19077790ee · outbound

This paper cites Stablerep: Synthetic images from text-to- image models make strong visual representation learners.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Stablerep: Synthetic images from text-to- image models make strong visual representation learners

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T05:47:19.021475Z

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Observation 61a25b4c-321f-42d1-97dc-94a267702068 · outbound

This paper cites Improving zero-shot generalization for clip with synthesized prompts.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Improving zero-shot generalization for clip with synthesized prompts

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.392097Z

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Observation 974832cf-d710-4e0c-aa8a-a0ab1041d4d5 · outbound

This paper cites Caltech-ucsd birds 200.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Caltech-ucsd birds 200

Reference 52

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Observation cb33b8f2-c810-4851-8c8c-a46daa95b7d9 · outbound

This paper cites Zero-shot learning—a comprehensive eval- uation of the good, the bad and the ugly.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Zero-shot learning—a comprehensive eval- uation of the good, the bad and the ugly

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.362822Z

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Observation 17f77f49-5701-43d9-b9e3-0f762282c040 · outbound

This paper cites Feature generating networks for zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Feature generating networks for zero-shot learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.347721Z

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Observation ab005e7d-ce5d-40ed-b2d9-f4aabf0eea92 · outbound

This paper cites f-vaegan-d2: A feature generating framework for any-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning f-vaegan-d2: A feature generating framework for any-shot learning

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.331578Z

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Observation b0ade276-dc73-4dcf-99b4-00a42d56b41d · outbound

This paper cites Attribute prototype network for zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Attribute prototype network for zero-shot learning

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.316583Z

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Observation cbf766c2-ed47-4e28-80eb-71effb8367cb · outbound

This paper cites Attribute prototype network for zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Attribute prototype network for zero-shot learning

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.300760Z

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Observation 89708480-c09a-491a-b361-4806c2ee2cbb · outbound

This paper cites Vgse: Visually-grounded semantic em- beddings for zero-shot learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Vgse: Visually-grounded semantic em- beddings for zero-shot learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.285990Z

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Observation b03de08c-7c3a-4381-bf52-9735c828e737 · outbound

This paper cites Progressive ensemble networks for zero-shot recognition.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Progressive ensemble networks for zero-shot recognition

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.271021Z

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Observation 3ce18a89-bb9d-4e57-bdcb-54d4be465193 · outbound

This paper cites ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning

Reference 60

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Observation 4be386a9-6ed7-4eed-a98a-0573763fbd87 · outbound

This paper cites Learning to prompt for vision-language models.

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning Learning to prompt for vision-language models

Reference 61

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Observation b59e8f90-6812-46a3-9545-81758a5d2ec7 · outbound

This paper cites A photo of S∗ [name].

Discriminative Image Generation with Diffusion Models for Zero-Shot Learning A photo of S∗ [name]

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:47:19.245924Z

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Pith citing papers

Observation 71484a91-65e1-415e-9209-01db6939c2a9 · inbound

GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition cites this paper.

GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition Discriminative Image Generation with Diffusion Models for Zero-Shot Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T10:59:52.550316Z

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