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Paper Citation Record · LEDGER

DNA: Dual-stage Native Attribution for Generated Image Source Tracing

As of 17 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.13685.

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

pith.paper-citation-record.v1
2607.13685 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T04:32:50.099078Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

65 of 65 outbound references displayed

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  • unresolved65
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External citation measurements

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Outbound references

Observation b0576ab1-39de-4dc0-938e-df7165f945bd · outbound

This paper cites Denoising Diffusion Probabilistic Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Denoising Diffusion Probabilistic Models,

Reference 1

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Observation 19ad290d-bbdb-4c43-9bdb-6532abff38a3 · outbound

This paper cites Flow Matching for Generative Modeling,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Flow Matching for Generative Modeling,

Reference 2

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Observation 6c9ee95e-7dfe-4183-907d-4420233e9b5b · outbound

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

DNA: Dual-stage Native Attribution for Generated Image Source Tracing High-Resolution Image Synthesis with Latent Diffusion Models,

Reference 3

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Observation d0a473a8-e20e-442b-8132-37fdef40a305 · outbound

This paper cites Diffusion Models Beat GANs on Image Synthesis,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Diffusion Models Beat GANs on Image Synthesis,

Reference 4

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Observation bf91bf6c-1a9c-4edf-9917-a80d72f2d83a · outbound

This paper cites DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject- Driven Generation,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject- Driven Generation,

Reference 5

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Observation 4918b5f4-e9c3-42f5-8a12-e8ecec375e3e · outbound

This paper cites Fake AI-generated image of explosion near Pentagon spreads on social media,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Fake AI-generated image of explosion near Pentagon spreads on social media,

Reference 6

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Observation e3f0e54c-968f-40d8-8b60-2cdc8443fcfb · outbound

This paper cites Detecting and Grounding Multi-Modal Media Manipulation and Beyond,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Detecting and Grounding Multi-Modal Media Manipulation and Beyond,

Reference 7

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source=pdf_text observed=2026-08-02T04:32:42.187256Z digest=sha256:7afe9b094fba81162b458e085598f803446fdf5c6b65940128f74b81c65827a4

Observation 908317b2-37f5-4116-8425-fd45c653fc3e · outbound

This paper cites Self-Supervised AI-Generated Image Detection: A Camera Metadata Perspective,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Self-Supervised AI-Generated Image Detection: A Camera Metadata Perspective,

Reference 8

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source=pdf_text observed=2026-08-02T04:32:42.311728Z digest=sha256:ecd8cc1723437d9916fb3e74a74af185b66bd1c7ea0b6de439d8fbf317017180

Observation 7e457cf0-ae72-4176-ac0d-567cb2f4b7b3 · outbound

This paper cites Models – Hugging Face,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Models – Hugging Face,

Reference 9

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source=pdf_text observed=2026-08-02T04:32:42.473449Z digest=sha256:32019ebd22a7d90feef7d56f6e8a3366b3be77a8fd0769819f5fb9e34617520c

Observation d6f7011c-5240-4729-93dc-ffd97117d714 · outbound

This paper cites Civitai: The Home of Open-Source Generative AI,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Civitai: The Home of Open-Source Generative AI,

Reference 10

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source=pdf_text observed=2026-08-02T04:32:42.625814Z digest=sha256:310fbb9a96e4996b7291ff0e32279f22edeb196f637448dee441db6f5f0cd1e6

Observation c9c318a4-4357-4c9e-a25e-17b17c240eae · outbound

This paper cites HiDDeN: Hiding Data With Deep Networks,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing HiDDeN: Hiding Data With Deep Networks,

Reference 11

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Observation 256afe80-0580-42c8-83c6-0bbfa06483f4 · outbound

This paper cites FIN: Flow-based Robust Watermarking with Invertible Noise Layer for Black- box Distortions,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing FIN: Flow-based Robust Watermarking with Invertible Noise Layer for Black- box Distortions,

Reference 12

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Observation 576a8792-db1d-4741-bc2a-4960c027b3b8 · outbound

This paper cites MBRS: Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing MBRS: Enhancing Robustness of DNN-based Watermarking by Mini-Batch of Real and Simulated JPEG Compression,

Reference 13

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source=pdf_text observed=2026-08-02T04:32:43.158964Z digest=sha256:f00fb3afb877ccebb3cf9c060e4717de20c02e9c633d594475e938f8ac821040

Observation a08bbcc6-5b1f-428d-8a15-89ccbc09a60d · outbound

This paper cites PIMoG: An Effec- tive Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing PIMoG: An Effec- tive Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking Network,

Reference 14

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source=pdf_text observed=2026-08-02T04:32:43.339903Z digest=sha256:cb41ee8204d22b2cd58aa7f6784cf03a7cbae5538cfa8683953b4d75f989c0ba

Observation a855c86d-6287-422d-ae36-7152dd5919ad · outbound

This paper cites Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffu- sion Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffu- sion Models,

Reference 15

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source=pdf_text observed=2026-08-02T04:32:43.513250Z digest=sha256:b38e4c1eac4c5a546b89e0d7b00e59ff261461bcd873e6bf22865a70ae911b90

Observation d71c0581-d79e-4a57-856b-d2ab29099057 · outbound

This paper cites Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

Reference 16

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Observation 8e469a0e-4ae1-431c-a2cf-1df1c435764c · outbound

This paper cites Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

Reference 17

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source=pdf_text observed=2026-08-02T04:32:43.799337Z digest=sha256:20d4dfae8ded39535013eae0a152cbdf14717c457c5f44ef181d03d28aa21401

Observation c0e89c13-0101-4251-9562-7ec1c8eb9097 · outbound

This paper cites The Stable Signature: Rooting Watermarks in Latent Diffusion Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing The Stable Signature: Rooting Watermarks in Latent Diffusion Models,

Reference 18

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source=pdf_text observed=2026-08-02T04:32:43.884310Z digest=sha256:a71bd12ba80bdaeb4cd3e257cff9d3c65fe79b4b3827a682f12c233157ab82ee

Observation 4843b7f4-8acf-409b-b9cd-4f948ed01adf · outbound

This paper cites Artificial Fingerprint- ing for Generative Models: Rooting Deepfake Attribution in Training Data,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Artificial Fingerprint- ing for Generative Models: Rooting Deepfake Attribution in Training Data,

Reference 19

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source=pdf_text observed=2026-08-02T04:32:44.019626Z digest=sha256:44b618c0d3221fa6e92f24c30c97e60f427e0c1199bc7d72c1c73d0b3ead0e01

Observation ef8532e8-448a-48f7-911f-b6b00b0d577e · outbound

This paper cites Responsible Disclosure of Generative Models Using Scalable Fingerprinting,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Responsible Disclosure of Generative Models Using Scalable Fingerprinting,

Reference 20

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Observation fe00dd78-c6cc-4053-af74-6a483ffb65d0 · outbound

This paper cites WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models,

Reference 21

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Observation bc600d1f-9290-444b-93d7-4b9ae777caa7 · outbound

This paper cites Attributing Image Generative Models using Latent Fingerprints,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Attributing Image Generative Models using Latent Fingerprints,

Reference 22

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Observation 97cbb361-2eff-4ed3-9f3d-111aeeb725c6 · outbound

This paper cites Do GANs leave artificial fingerprints?.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Do GANs leave artificial fingerprints?

Reference 23

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Observation 06a00abc-c567-4b9f-a7b0-4ebb8334bd68 · outbound

This paper cites CNN- generated images are surprisingly easy to spot...for now,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing CNN- generated images are surprisingly easy to spot...for now,

Reference 24

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Observation 9f2c99c8-01bd-4b2a-8976-47a949d5436b · outbound

This paper cites Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints,

Reference 25

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Observation c86b3bb3-3b41-440e-97a3-a5c1552458e3 · outbound

This paper cites DE-FAKE: Detection and Attribu- tion of Fake Images Generated by Text-to-Image Generation Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing DE-FAKE: Detection and Attribu- tion of Fake Images Generated by Text-to-Image Generation Models,

Reference 26

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Observation fa18e809-d0e7-4907-b50b-d416c4e9278f · outbound

This paper cites Detecting Origin Attribution for Text- to-Image Diffusion Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Detecting Origin Attribution for Text- to-Image Diffusion Models,

Reference 27

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Observation 7a9b4cde-1eaf-4e6f-b53e-6cf80155ee17 · outbound

This paper cites Are CLIP features all you need for Universal Synthetic Image Origin Attribution?.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Are CLIP features all you need for Universal Synthetic Image Origin Attribution?

Reference 28

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Observation e5374c5e-79c8-4cac-b6e4-1f27f7b03c84 · outbound

This paper cites Forensic Self- Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Forensic Self- Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images,

Reference 29

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Observation 24e160fb-5385-41a4-9e6a-8f7075909408 · outbound

This paper cites Learning Counterfactually Decoupled Attention for Open-World Model Attribution,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Learning Counterfactually Decoupled Attention for Open-World Model Attribution,

Reference 30

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Observation e7a92e92-29e1-4b53-b503-fb28735d6404 · outbound

This paper cites Data Provenance for Image Auto-Regressive Generation,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Data Provenance for Image Auto-Regressive Generation,

Reference 31

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Observation b817a9d5-1ea4-43dc-9c1b-c5796f49af7b · outbound

This paper cites Where Did I Come From? Origin Attribution of AI-Generated Images,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Where Did I Come From? Origin Attribution of AI-Generated Images,

Reference 32

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Observation f01d9570-5656-4fa4-a600-953505009bf6 · outbound

This paper cites How to Trace Latent Generative Model Generated Images without Artificial Watermark?.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing How to Trace Latent Generative Model Generated Images without Artificial Watermark?

Reference 33

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Observation e61e89a6-1f15-413f-ac67-d0b2fb67295a · outbound

This paper cites AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double- Reconstruction,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double- Reconstruction,

Reference 34

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Observation 7068db03-711c-4ef9-9a51-b73281cd776b · outbound

This paper cites Adam: A Method for Stochastic Optimization,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Adam: A Method for Stochastic Optimization,

Reference 35

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Observation dd51fb21-3809-48dd-9413-58de8fb28b96 · outbound

This paper cites Auto-Encoding Variational Bayes,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Auto-Encoding Variational Bayes,

Reference 36

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Observation bd43da85-5ebf-4d23-b94e-e1a176930c84 · outbound

This paper cites RepMix: Representation Mixing for Robust Attribution of Synthesized Images,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing RepMix: Representation Mixing for Robust Attribution of Synthesized Images,

Reference 37

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Observation 7d034655-b4f9-40b2-ab3d-c23f2c2f8428 · outbound

This paper cites Hierarchical Fine-Grained Image Forgery Detection and Localization,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Hierarchical Fine-Grained Image Forgery Detection and Localization,

Reference 38

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source=pdf_text observed=2026-08-02T04:32:46.592997Z digest=sha256:bfa1259eca6cb2d91d6e178388aa0cc95904cae693a913d08ae8397c95b2b64e

Observation d2ec0276-3fc0-484c-bbf5-b6834e87edbe · outbound

This paper cites Progressive Open Space Expansion for Open-Set Model Attribution,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Progressive Open Space Expansion for Open-Set Model Attribution,

Reference 39

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source=pdf_text observed=2026-08-02T04:32:46.742585Z digest=sha256:a47b66d188127db3663511d68c58839afd437aedefdfa50881f39929ac0dd199

Observation e80e0483-0445-425b-900f-f8b402991829 · outbound

This paper cites GenImage: A Million-Scale Benchmark for Detecting AI- Generated Image,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing GenImage: A Million-Scale Benchmark for Detecting AI- Generated Image,

Reference 40

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source=pdf_text observed=2026-08-02T04:32:46.899760Z digest=sha256:6684a9fdcd534ef4a46f5a16c87677090b7e61ee66be90b7e9324bc37839642a

Observation c1b6d704-65b0-4a67-ada0-6f41bff32ac5 · outbound

This paper cites WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing WildFake: A Large-Scale and Hierarchical Dataset for AI-Generated Images Detection,

Reference 41

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source=pdf_text observed=2026-08-02T04:32:47.040391Z digest=sha256:6cdcb4a2b2710fd79157fdcbcafc49de5b71289228f25fe444c53152cfa5cbf2

Observation f8c1977a-e9a4-4c2b-b553-dafa7b80a5d5 · outbound

This paper cites WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing WILD: a new in-the-Wild Image Linkage Dataset for synthetic image attribution,

Reference 42

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source=pdf_text observed=2026-08-02T04:32:47.206495Z digest=sha256:6eaf323a6f033c0b156045556c4350e32468c8073c00ca486bb5e1807de41fa3

Observation 9e99080b-7210-437b-8e59-48e67b1be80d · outbound

This paper cites Diffusion Models in Vision: A Survey,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Diffusion Models in Vision: A Survey,

Reference 43

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source=pdf_text observed=2026-08-02T04:32:47.358987Z digest=sha256:1f239756a1a1f1cfbc4df92aaeb62ea8f0b98cd216aa477aae99ad27bd668d28

Observation ecf6ec2e-37b4-4859-9627-29dc4ffb6859 · outbound

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

DNA: Dual-stage Native Attribution for Generated Image Source Tracing SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis,

Reference 44

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source=pdf_text observed=2026-08-02T04:32:47.466601Z digest=sha256:bc3d4265ec6c077644e47159691bfa4e5ed71866a191fbacb82749e80810ac84

Observation 9c0956bb-007a-46fa-8c00-16045d740299 · outbound

This paper cites Scalable Diffusion Models with Transformers,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Scalable Diffusion Models with Transformers,

Reference 45

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source=pdf_text observed=2026-08-02T04:32:47.570259Z digest=sha256:c83c1077fcc400326ae743514f073c277567745a40c6cea4c8e4050621a98756

Observation 3b97c165-cb50-44d7-b577-ce778e726db5 · outbound

This paper cites U-Net: Convolutional Net- works for Biomedical Image Segmentation,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing U-Net: Convolutional Net- works for Biomedical Image Segmentation,

Reference 46

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source=pdf_text observed=2026-08-02T04:32:47.628572Z digest=sha256:3b09207465174ad32c7e42f0e95a5d9343d8b4bcafde617cc490818f492e17f6

Observation 17db2fef-f002-437b-8885-de974ba2ed5c · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow,

Reference 47

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source=pdf_text observed=2026-08-02T04:32:47.760768Z digest=sha256:cad66e32e8185f441bd7c38f252c92ecdc6a9bf23b8d22e59d364a00af00f631

Observation 335871d1-81e4-4545-aa5c-fd5c2b3fce5f · outbound

This paper cites Scaling Rectified 18 Flow Transformers for High-Resolution Image Synthesis,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Scaling Rectified 18 Flow Transformers for High-Resolution Image Synthesis,

Reference 48

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source=pdf_text observed=2026-08-02T04:32:47.869541Z digest=sha256:9d424cf6eefa8f372bb2dfa7ba2d0a767d5f530ed954226a2ee8bc77bc54a11b

Observation c2cbf1c2-dee5-49eb-a0d5-a5b35ed59398 · outbound

This paper cites Deep Model Intellectual Property Protection via Deep Watermark- ing,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Deep Model Intellectual Property Protection via Deep Watermark- ing,

Reference 49

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source=pdf_text observed=2026-08-02T04:32:48.006833Z digest=sha256:077db4232ba55a99082ff7255a557794559fde0670df02f758419749654657c4

Observation bbcfce08-79d7-4856-96ec-5d109151abd8 · outbound

This paper cites Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution,

Reference 50

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source=pdf_text observed=2026-08-02T04:32:48.125814Z digest=sha256:807f12f68523af26fe0b948a5de60d39258248562b80bde5f25977a9299ca835

Observation 7394cc54-8a98-40d5-89b7-68042ea6dcb0 · outbound

This paper cites Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images,

Reference 51

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source=pdf_text observed=2026-08-02T04:32:48.238943Z digest=sha256:cd9dab2ca9d115f4a4e0d7b199d820c3926546b9cdcee9eefd64edb868ada118

Observation ec4103fe-38ae-43c4-ad3c-4687b4681d8f · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Learning Transferable Visual Models From Natural Language Supervision,

Reference 52

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source=pdf_text observed=2026-08-02T04:32:48.417180Z digest=sha256:5fe314313fbf89cf72d0a6953ecbc9967250e0c43f8547fca2b67a90c1ffaa54

Observation e53d9170-abb3-4f51-b65d-edde9469055e · outbound

This paper cites GAN Inversion: A Survey,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing GAN Inversion: A Survey,

Reference 53

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source=pdf_text observed=2026-08-02T04:32:48.555405Z digest=sha256:236df7ce9c95db56e5d579b5c16356c84ea95baf149430814424a36b9c4d0545

Observation 2626d6fa-2d00-499a-a4e7-27dcaf2479b1 · outbound

This paper cites Available: https://github.com/ black-forest-labs/flux, 2024, accessed: Jun.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Available: https://github.com/ black-forest-labs/flux, 2024, accessed: Jun

Reference 54

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source=pdf_text observed=2026-08-02T04:32:48.702975Z digest=sha256:dc82f236922f67313a8c120b9459f4819140ee551f7ae98222fccc5a7130f08c

Observation f2c20f1a-bfab-4857-9a20-41514d4f58f2 · outbound

This paper cites FLUX.2: Frontier Visual Intelligence,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing FLUX.2: Frontier Visual Intelligence,

Reference 55

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source=pdf_text observed=2026-08-02T04:32:48.844914Z digest=sha256:fa1ee9cf34ddeeec04f42a46206fd860317e11555852f8ccdc4bbcf1f06a4c3e

Observation 188b57b5-bf61-44d8-b880-81ec27bfe46d · outbound

This paper cites Recent Advances in Open Set Recognition: A Survey,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Recent Advances in Open Set Recognition: A Survey,

Reference 56

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source=pdf_text observed=2026-08-02T04:32:48.981360Z digest=sha256:44baa5f88c6948c6f1042461621f51be1d605ffbac56e0de6c61b49c997e613f

Observation 7851a2be-70f1-4f1e-b4ca-7b9e57285690 · outbound

This paper cites Toward open set recognition,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Toward open set recognition,

Reference 57

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source=pdf_text observed=2026-08-02T04:32:49.097743Z digest=sha256:cf87f597c85d96153ea8ea4d34fcf70827afc691615ddaadd53a05afc67a9f76

Observation 66cd4a19-14fd-4b0d-bbb7-fcf13d9a4673 · outbound

This paper cites On Estimation of a Probability Density Function and Mode,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing On Estimation of a Probability Density Function and Mode,

Reference 58

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source=pdf_text observed=2026-08-02T04:32:49.216955Z digest=sha256:cb0108957307c62e68d1e33eeb75de4710b9fad7758449a30da43067ced13d6a

Observation 4ae8d447-1f63-44ed-8a7f-024afde6988b · outbound

This paper cites BLIP-2: Bootstrapping Language- Image Pre-training with Frozen Image Encoders and Large Language Models,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing BLIP-2: Bootstrapping Language- Image Pre-training with Frozen Image Encoders and Large Language Models,

Reference 59

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source=pdf_text observed=2026-08-02T04:32:49.332979Z digest=sha256:cf1463a98a619abc7ca9bd0c97067eacf00eae4830f538286692d2ac44228900

Observation 7ed76a4e-880f-4eb9-b3db-e808dadd38a9 · outbound

This paper cites The Monte Carlo Method,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing The Monte Carlo Method,

Reference 60

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source=pdf_text observed=2026-08-02T04:32:49.436102Z digest=sha256:394f477aea76335758349b47f1f2716e198938500f2354770a7110756b23c031

Observation b7c5b985-64a0-40c4-a3ec-73412b0ad7c7 · outbound

This paper cites Random Search for Hyper-Parameter Opti- mization,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Random Search for Hyper-Parameter Opti- mization,

Reference 61

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source=pdf_text observed=2026-08-02T04:32:49.587253Z digest=sha256:903b09b31a5dfc9aa2a5c1f4fc5724bfef2ee8002bebecf8e803e9c3250dd43d

Observation 4acd6683-d96f-44fd-b7ab-269cdf610ddc · outbound

This paper cites Microsoft COCO: Common Objects in Context,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Microsoft COCO: Common Objects in Context,

Reference 62

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source=pdf_text observed=2026-08-02T04:32:49.701980Z digest=sha256:2b5695ec6f8120a7ede60804c27b9c7c31576bcf24febeb6f0b840d3c077a0c0

Observation 71c2542b-5e51-438e-ab30-fd313766d64e · outbound

This paper cites ImageNet Large Scale Visual Recognition Challenge,.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing ImageNet Large Scale Visual Recognition Challenge,

Reference 63

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source=pdf_text observed=2026-08-02T04:32:49.808944Z digest=sha256:20e1507cac88453840b51cc888e5bfc4ed3d764322fde7c2c19cf3191d3bb961

Observation 01af6f78-ef4a-4fc3-b5cd-2f020f7cabcc · outbound

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

DNA: Dual-stage Native Attribution for Generated Image Source Tracing LAION-5B: An open large-scale dataset for training next generation image-text models,

Reference 64

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source=pdf_text observed=2026-08-02T04:32:49.939510Z digest=sha256:417ee877ebd6e168ff389c95a89c3fe7f524fb17f6364d151e5b6d64ec26172c

Observation 100ccf41-5c26-4895-a2ba-77666256cc78 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

DNA: Dual-stage Native Attribution for Generated Image Source Tracing Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 65

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source=pdf_text observed=2026-08-02T04:32:50.099078Z digest=sha256:bfd6f4fbc360134869b4a2306a65951124bedb9f2c73d7e5a37344ffcdff991c

Pith citing papers

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