Paper Citation Record · LEDGER

Panoptic Diffusion Models: co-generation of images and segmentation maps

As of 13 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.02929.

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

pith.paper-citation-record.v1
2412.02929 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:02:16.499212Z

measured 47 of 47 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 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

47 of 47 outbound references displayed

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verified fuzzy1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c31c460b-5add-45ee-b833-7e31738708ed · outbound

This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T23:02:18.322481Z

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Observation 88cc893e-d035-4e98-953a-923af3235568 · outbound

This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 2

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Observation 3b50c668-e893-49fc-8d9f-0ca408a7dda1 · outbound

This paper cites Lumiere: A Space-Time Diffusion Model for Video Generation.

Panoptic Diffusion Models: co-generation of images and segmentation maps Lumiere: A Space-Time Diffusion Model for Video Generation

Reference 3

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Observation 3efdd5f4-98d6-4294-9ed0-ddd137465860 · outbound

This paper cites Label-Efficient Semantic Segmentation with Diffusion Models.

Panoptic Diffusion Models: co-generation of images and segmentation maps Label-Efficient Semantic Segmentation with Diffusion Models

Reference 4

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Observation ac007b57-9c7c-494f-81f2-2b119226ea46 · outbound

This paper cites TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation.

Panoptic Diffusion Models: co-generation of images and segmentation maps TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation

Reference 5

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Observation ac375ce6-948c-480a-b0be-7e486dc5038e · outbound

This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.

Panoptic Diffusion Models: co-generation of images and segmentation maps InstructPix2Pix: Learning to Follow Image Editing Instructions

Reference 6

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Observation a858f3d0-d82e-4b58-aedd-342878ade90f · outbound

This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 7

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Source-reported events for the cited work

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Observation 6d2e6071-af6b-4aed-9fb5-4c5e5f93ea0d · outbound

This paper cites End-to-End Object Detection with Transformers.

Panoptic Diffusion Models: co-generation of images and segmentation maps End-to-End Object Detection with Transformers

Reference 8

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Observation a9adae15-ba61-4316-8f1a-ae62906337ee · outbound

This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 9

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Observation 2bb28a40-ae9a-4eb5-93b1-5c7126b9263f · outbound

This paper cites Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning.

Panoptic Diffusion Models: co-generation of images and segmentation maps Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Reference 10

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Observation 15f05e15-afec-47e2-97d8-f6010aea47ae · outbound

This paper cites G.; Kirillov, A.; and Girdhar, R.

Panoptic Diffusion Models: co-generation of images and segmentation maps G.; Kirillov, A.; and Girdhar, R

Reference 11

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Source-reported events for the cited work

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Observation c1c3e792-ce05-4203-97b2-c5347f133105 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis.

Panoptic Diffusion Models: co-generation of images and segmentation maps Diffusion Models Beat GANs on Image Synthesis

Reference 12

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Source-reported events for the cited work

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Observation 35a9d9f2-af4d-44a4-a181-5ecd624b11de · outbound

This paper cites Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors.

Panoptic Diffusion Models: co-generation of images and segmentation maps Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors

Reference 13

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Observation b25e4795-2b40-4407-8704-2a64523c38b6 · outbound

This paper cites Fast R-CNN.

Panoptic Diffusion Models: co-generation of images and segmentation maps Fast R-CNN

Reference 14

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Source-reported events for the cited work

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Observation 5822a77d-c2f4-42fe-900d-169e0d7d1681 · outbound

This paper cites Vector Quantized Diffusion Model for Text-to-Image Synthesis.

Panoptic Diffusion Models: co-generation of images and segmentation maps Vector Quantized Diffusion Model for Text-to-Image Synthesis

Reference 15

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Source-reported events for the cited work

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This paper cites Mask R-CNN.

Panoptic Diffusion Models: co-generation of images and segmentation maps Mask R-CNN

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd231f9c-3c9f-4ea7-bf37-06913bb3fa24 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Panoptic Diffusion Models: co-generation of images and segmentation maps Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 17

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Observation 5a66836b-5dc7-4da0-8900-02125e3c1cad · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Panoptic Diffusion Models: co-generation of images and segmentation maps CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a36c3a-218a-4767-9e75-7d66b46ee420 · outbound

This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b69ff9-84ce-4c48-8944-7ed43c5c6f44 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Panoptic Diffusion Models: co-generation of images and segmentation maps Imagen Video: High Definition Video Generation with Diffusion Models

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation b6ac713e-197c-4ce7-a4ca-51b2d7f60476 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Panoptic Diffusion Models: co-generation of images and segmentation maps Classifier-Free Diffusion Guidance

Reference 22

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Source-reported events for the cited work

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Observation fcd4a93b-9525-4d35-a818-df5ecec02dcd · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps Video Diffusion Models

Reference 23

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Source-reported events for the cited work

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Panoptic Diffusion Models: co-generation of images and segmentation maps Parameter-Efficient Transfer Learning for NLP

Reference 24

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Source-reported events for the cited work

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Observation d7539f6f-d594-4213-8070-4826f9816c4b · outbound

This paper cites Panoptic Segmentation.

Panoptic Diffusion Models: co-generation of images and segmentation maps Panoptic Segmentation

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31fda55c-7b6e-44da-bba9-849bd293ca29 · outbound

This paper cites Segment Anything.

Panoptic Diffusion Models: co-generation of images and segmentation maps Segment Anything

Reference 26

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Source-reported events for the cited work

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This paper cites Microsoft COCO: Common Objects in Context.

Panoptic Diffusion Models: co-generation of images and segmentation maps Microsoft COCO: Common Objects in Context

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 28

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Source-reported events for the cited work

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Observation 76bd426b-1779-45ff-b1c0-5456de5382c5 · outbound

This paper cites an unresolved cited work.

Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 29

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Source-reported events for the cited work

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Observation fb74bb59-e557-4024-94df-1cecde5b20fc · outbound

This paper cites DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Panoptic Diffusion Models: co-generation of images and segmentation maps DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models

Reference 30

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This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Panoptic Diffusion Models: co-generation of images and segmentation maps SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 31

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This paper cites T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models.

Panoptic Diffusion Models: co-generation of images and segmentation maps T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Reference 32

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Panoptic Diffusion Models: co-generation of images and segmentation maps Improved Denoising Diffusion Probabilistic Models

Reference 33

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Source-reported events for the cited work

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

Panoptic Diffusion Models: co-generation of images and segmentation maps GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Panoptic Diffusion Models: co-generation of images and segmentation maps Scalable Diffusion Models with Transformers

Reference 35

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Observation fd7b57a5-ab25-4bf0-875c-ad9a38e41b7f · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps Learning Transferable Visual Models From Natural Language Supervision

Reference 36

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Observation d9f18862-cafd-4666-ba3a-f5f28b04ae3e · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 662192fd-169e-42b0-b27f-5552616f6b5a · outbound

This paper cites Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis.

Panoptic Diffusion Models: co-generation of images and segmentation maps Hyper-SD: Trajectory Segmented Consistency Model for Efficient Image Synthesis

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a201378-6f0d-424d-8398-2525f27c4e1a · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Panoptic Diffusion Models: co-generation of images and segmentation maps High-Resolution Image Synthesis with Latent Diffusion Models

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24016c70-76c1-4da2-a0cc-f56fe7ba3241 · outbound

This paper cites Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding.

Panoptic Diffusion Models: co-generation of images and segmentation maps Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5b6665e-ac74-465a-879f-4cd85df78345 · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps Progressive Distillation for Fast Sampling of Diffusion Models

Reference 41

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Unavailable: canonical work link unavailable.

Observation 4c8c91fb-2475-4de3-9ee5-aa18cbe7690f · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Panoptic Diffusion Models: co-generation of images and segmentation maps Denoising Diffusion Implicit Models

Reference 43

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Source-reported events for the cited work

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Observation 3521bce0-7f52-4caa-bd67-99f5b73b87e7 · outbound

This paper cites DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models.

Panoptic Diffusion Models: co-generation of images and segmentation maps DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb42f90-569b-4d1f-a2ea-4f51cfd724ee · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps Unresolved cited work

Reference 45

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Source-reported events for the cited work

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Observation b0989b31-8f89-4e87-aaca-5580d41f66fc · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps , " * write output.state after.block = add.period write newline

Reference 46

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Observation 7fbe753d-d4c9-41d4-bf8a-4cfc4af49536 · outbound

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Panoptic Diffusion Models: co-generation of images and segmentation maps write newline

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Pith citing papers

No inbound Pith citation observations are available.