Paper Citation Record · LEDGER

Learning Visual Generative Priors without Text

As of 21 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2412.07767.

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

pith.paper-citation-record.v1
2412.07767 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:35:53.182869Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:54.032525Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T12:48:57.600976Z

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d945ba8-876b-4e0e-8b72-7e1883ae83a4 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Learning Visual Generative Priors without Text Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 1

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Observation 25716040-1922-4de3-a98b-34a5dbf5ced6 · outbound

This paper cites Improving image generation with better captions.

Learning Visual Generative Priors without Text Improving image generation with better captions

Reference 2

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Observation 215372b7-5391-46a4-858a-cd5616c648a2 · outbound

This paper cites an unresolved cited work.

Learning Visual Generative Priors without Text Unresolved cited work

Reference 3

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Observation 5c627f0a-2e28-4fb5-9a46-f208b9997a9b · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Learning Visual Generative Priors without Text Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 4

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Observation 030d34f8-0757-43a1-adc3-e0f4ef02a488 · outbound

This paper cites Coyo- 700m: Image-text pair dataset.

Learning Visual Generative Priors without Text Coyo- 700m: Image-text pair dataset

Reference 5

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Observation 4d3dc9be-d68c-4ea8-b026-6d1578225ea8 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Learning Visual Generative Priors without Text Emerg- ing properties in self-supervised vision transformers

Reference 6

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Observation c68f9622-f5d6-47ec-9728-8c632b8de87f · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Learning Visual Generative Priors without Text PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 7

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Observation 0ca1cbc6-0452-424b-b0d4-f7e6b680ebda · outbound

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

Learning Visual Generative Priors without Text PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 8

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Observation 8b318a45-916f-4718-bb10-e60942ce991e · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Learning Visual Generative Priors without Text A simple framework for contrastive learning of visual representations

Reference 9

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Observation b6aed268-7560-421a-90b6-b24e23faf3db · outbound

This paper cites Improved Baselines with Momentum Contrastive Learning.

Learning Visual Generative Priors without Text Improved Baselines with Momentum Contrastive Learning

Reference 10

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Observation 23a1bd5f-b2ac-43c2-adca-44ca3f591dab · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Learning Visual Generative Priors without Text Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 11

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Observation 8ccd94ba-378d-4313-912f-7d52620b2d0f · outbound

This paper cites Objaverse-xl: A universe of 10m+ 3d objects.

Learning Visual Generative Priors without Text Objaverse-xl: A universe of 10m+ 3d objects

Reference 12

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Observation 40ee1db0-f12b-4b93-8583-780d85bd2e0d · outbound

This paper cites Objaverse: A universe of annotated 3d objects.

Learning Visual Generative Priors without Text Objaverse: A universe of annotated 3d objects

Reference 13

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Observation 0b6d823e-9fe8-46ed-9d14-5c9720384945 · outbound

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

Learning Visual Generative Priors without Text Imagenet: A large-scale hierarchical image database

Reference 14

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Observation f2f0e166-a948-4f40-84cf-42195e641b2a · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Learning Visual Generative Priors without Text BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 15

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Observation a952aaa3-8359-4043-85a6-f34fcd884889 · outbound

This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.

Learning Visual Generative Priors without Text Google scanned objects: A high- quality dataset of 3d scanned household items

Reference 16

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Observation e27b06b4-2db8-4ce4-872e-e06774b1663a · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Learning Visual Generative Priors without Text Scaling rectified flow transformers for high-resolution image synthesis

Reference 17

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Observation 7e7ad258-89e8-4cb5-bc26-8d427654350e · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

Learning Visual Generative Priors without Text Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 18

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Observation 7c8d2470-d1af-4f34-963c-f2118b7014d7 · outbound

This paper cites Generative adversarial nets.

Learning Visual Generative Priors without Text Generative adversarial nets

Reference 19

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Observation edfb1d48-e66e-47db-b5b5-524c2554be02 · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

Learning Visual Generative Priors without Text Momentum contrast for unsupervised visual representation learning

Reference 20

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Observation 0836d6c1-af43-4844-ae46-d0446207cbfa · outbound

This paper cites Masked autoencoders are scalable vision learners.

Learning Visual Generative Priors without Text Masked autoencoders are scalable vision learners

Reference 21

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Observation 405b64bf-e0a5-42f3-8161-d0339e706285 · outbound

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

Learning Visual Generative Priors without Text Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 22

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Observation 1e7432ab-46af-4820-aad7-d656040ae011 · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Learning Visual Generative Priors without Text ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 23

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Observation d6e0c049-b25c-41d2-a972-85d6e4f68537 · outbound

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

Learning Visual Generative Priors without Text Scaling up gans for text-to-image synthesis

Reference 24

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Observation 41d1822f-0d7a-4dc0-b31e-db0b59bc7fbc · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.

Learning Visual Generative Priors without Text 3d gaussian splatting for real-time radiance field rendering

Reference 25

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Observation 252d18a7-0450-4c81-84c5-d7224112b333 · outbound

This paper cites Auto-encoding variational bayes.

Learning Visual Generative Priors without Text Auto-encoding variational bayes

Reference 26

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Observation 39d1a505-5cce-47dd-a320-450f591d5e66 · outbound

This paper cites Segment anything.

Learning Visual Generative Priors without Text Segment anything

Reference 27

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This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

Learning Visual Generative Priors without Text Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 28

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Observation 5083606b-b53a-4e2f-9945-1ad18d0f7e3c · outbound

This paper cites Return of Unconditional Generation: A Self-supervised Representation Generation Method.

Learning Visual Generative Priors without Text Return of Unconditional Generation: A Self-supervised Representation Generation Method

Reference 29

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Observation f3eb7c07-0b98-441d-8f8e-3b591ef34c24 · outbound

This paper cites Microsoft coco: Common objects in context.

Learning Visual Generative Priors without Text Microsoft coco: Common objects in context

Reference 30

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Observation 57614c2b-4f73-4fc6-90b9-3005238bab52 · outbound

This paper cites Zero-1-to-3: Zero-shot one image to 3d object.

Learning Visual Generative Priors without Text Zero-1-to-3: Zero-shot one image to 3d object

Reference 31

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Observation 352dccec-9e8f-4fef-a273-a014758f3a54 · outbound

This paper cites SyncDreamer: Generating Multiview-consistent Images from a Single-view Image.

Learning Visual Generative Priors without Text SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Reference 32

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This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

Learning Visual Generative Priors without Text OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 33

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This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Learning Visual Generative Priors without Text GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 34

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This paper cites Jour- neydb: A benchmark for generative image understanding.

Learning Visual Generative Priors without Text Jour- neydb: A benchmark for generative image understanding

Reference 35

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Observation 247b4d85-8c32-41bd-8f03-9cab8933ec0a · outbound

This paper cites Scalable di ffusion models with transformers.

Learning Visual Generative Priors without Text Scalable di ffusion models with transformers

Reference 36

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This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Learning Visual Generative Priors without Text SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 37

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This paper cites Improving language understanding by gener- ative pre-training.

Learning Visual Generative Priors without Text Improving language understanding by gener- ative pre-training

Reference 38

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

Learning Visual Generative Priors without Text Learning transferable visual models from natural language supervi- sion

Reference 39

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Learning Visual Generative Priors without Text Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 40

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Learning Visual Generative Priors without Text Zero-shot text-to-image generation

Reference 41

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Observation 9db0274d-b3d4-4501-aaed-878f0edba2c5 · outbound

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

Learning Visual Generative Priors without Text Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 42

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Learning Visual Generative Priors without Text Variational inference with normalizing flows

Reference 43

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Learning Visual Generative Priors without Text High-resolution image synthesis with latent di ffusion models

Reference 44

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Observation 7a026372-91dd-4613-ba38-d5731b24ff8f · outbound

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

Learning Visual Generative Priors without Text Photorealistic text-to-image diffusion models with deep language understanding

Reference 45

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

Learning Visual Generative Priors without Text Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 46

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Observation b0dbe713-91e2-41cc-8520-43c6ec7ba584 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Learning Visual Generative Priors without Text UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 47

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Learning Visual Generative Priors without Text Lgm: Large multi-view gaussian model for high-resolution 3d content creation

Reference 48

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Observation cbec7c4c-8f1d-48c5-a12a-f742ef098caa · outbound

This paper cites Kolors: E ffective training of diffusion model for photorealistic text-to-image synthesis.

Learning Visual Generative Priors without Text Kolors: E ffective training of diffusion model for photorealistic text-to-image synthesis

Reference 49

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Observation 69832b45-fdf7-4f7c-a319-e092ccadf305 · outbound

This paper cites Fvd: A new metric for video generation.

Learning Visual Generative Priors without Text Fvd: A new metric for video generation

Reference 50

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Observation 9f8c7180-f9ce-444f-b7f6-411c4e4e1db9 · outbound

This paper cites Attention is all you need.

Learning Visual Generative Priors without Text Attention is all you need

Reference 51

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Source-reported events for the cited work

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Observation 20d411e1-061e-4c66-91b4-6860e45bcab1 · outbound

This paper cites Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task.

Learning Visual Generative Priors without Text Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task

Reference 52

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Learning Visual Generative Priors without Text SimMIM: A simple framework for masked image modeling

Reference 53

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Observation 8b9260d8-eb21-4ee8-8b02-03dca695e221 · outbound

This paper cites Dynamicrafter: Animating 10 open-domain images with video di ffusion priors.

Learning Visual Generative Priors without Text Dynamicrafter: Animating 10 open-domain images with video di ffusion priors

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:53.631143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8958e374-c7b9-4df4-845e-224fe08e0906 · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

Learning Visual Generative Priors without Text Msr-vtt: A large video description dataset for bridging video and language

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:53.613145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b281cc8d-d81a-44d6-b615-b04c596ee4a8 · outbound

This paper cites GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation.

Learning Visual Generative Priors without Text GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:53.159771Z

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Observation 27c22cad-938e-4401-a564-2f971e68ce15 · outbound

This paper cites Raphael: Text-to- image generation via large mixture of di ffusion paths.

Learning Visual Generative Priors without Text Raphael: Text-to- image generation via large mixture of di ffusion paths

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:53.593802Z

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Observation 48b7d5de-a9aa-4b4f-b56d-bf8a3cf3b119 · outbound

This paper cites Open-sora: Democratizing e fficient video production for all.

Learning Visual Generative Priors without Text Open-sora: Democratizing e fficient video production for all

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:53.574093Z

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Observation 5e1b01ed-c46a-4fa0-8795-1961dcde9557 · outbound

This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Learning Visual Generative Priors without Text Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T18:35:53.176731Z

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Observation a0227ccf-21b2-41c3-a85b-daf9378fd498 · outbound

This paper cites golden sunset shines on the top of snow-capped mountains, with small villages at its foot and surrounding buildings.

Learning Visual Generative Priors without Text golden sunset shines on the top of snow-capped mountains, with small villages at its foot and surrounding buildings

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:35:53.554892Z

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Pith citing papers

Observation 05868bab-5a3c-4920-9e7d-12d77b8175ba · inbound

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation cites this paper.

R2I-Bench: Benchmarking Reasoning-Driven Text-to-Image Generation Learning Visual Generative Priors without Text

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:48:57.707197Z

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