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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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.

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

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  • unresolved65
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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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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=sha256:30ceb20d5c54b041b04ebd05c86ebdf39e228f2534dffee679976eb7a0e8d388

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=sha256:9afd9ce9a6c3a118f5561ccfa75b085093bcd3790c29e3f12f6ce59d666fcb5e

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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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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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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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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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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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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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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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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source=pdf_text observed=2026-08-02T04:32:46.508507Z digest=sha256:240e471b7bfe2e7aa6ec9d17729ccf34d22b470e7f51f468c5e7d26a4de2061c

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:acbd9d4dee349a6b491a6a0a2e2ff58de6a01e9b8e5d56e39326229126752b95

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=sha256:1a5a2cb34a090898ca7c066b7aac20a8ddc09e52cd1b77aa4f9aeeccbc0b6c7f

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=sha256:455285fedd17dc4d624cad6582c5db6075c8dcd695b34b2d157cddbe5c320151

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=sha256:7fc61f9e702683c4d837f8899453037ecc7c6b7d1f5f6c628d31b9c2ce07d526

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=sha256:964b24307dc5079291aeabcf8a002fc92499c14628509b17c64188fb0057c465

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:e7b78313a2b73f1083773cf2cb47bae2a8f3181488613d7cec40e23f8fc9ce8d

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=sha256:0f07d76c4ffeefa354dbb0a7136e52b0ac819e8dbc86becd944f54ef8cc0f985

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=sha256:4b56f186444998dd2507f0f61e2784d97306cd4a3733c64172515a84eb39c9f9

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=sha256:949cc9febd3c71bd7f05830d990692f968a91a0b34724ae46f790e35b4140cba

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=sha256:02af52a5deb4e7117261af80e682b8c1d7bcf667e11951a92ddbcbacca3ace27

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:d6797d8d6a5106257207ef18161fb9a2ede1e4540e7b938ea2dd7d85a1c42351

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=sha256:1d6e57825bc5cf4cca531546414c7c73cb81a2070b2a3235abfa050c1aea9102

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=sha256:9b2edc4c83ae9d5349d5d6bc7434b8c5ca38295cbfd0c4304b93c3f53d04ed7c

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=sha256:10646598b781c50e5bf95c3dc4df28b220dc2edadad798965290808fa513d57c

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:e44e69aceb204de887c626197a4e38c64db844cb5d2a141b8b9d0ed35e10cf63

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=sha256:7563b023e3a3914597ffb913317605941140abc7b78fe156f5d440bba0495086

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:b1df1f3ae9fe4c93a841ace8157f344a5eaf659cad5c1507f8824bd0c326774c

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:b919d19b59d46916cba4ea92e1130e13b67093973ca49f1f62dc7ec43165db6e

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=sha256:83b4aec2f160bf4671675615e70c120933bbfa708c2b92d25e7110b5781490a4

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:c1a8a0ac1831bb204d2c7f785deadadc084a97c135c6f8accb98c970f8214293

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=sha256:2cb2cf6c9f214d20ac5c680b37f5b5b1214fe5dee2b79440750907d97ac258aa

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:e3b55923f6450a102bb68a223d7133ef3b22c827126ac481f40fff6400751748

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=sha256:94c6d2a11b4be97beaf75dfe56673f3c79c47c573b3bdcd392320db598bf0af3

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=sha256:51625ee5bb2fdc9a7344ba07d1937025ff182c1e527ab3f14f40bc4bc3aa2b9b

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=sha256:35a805cd710002123fc33291b3ff17f8b7c3dd9b660e43385812f2e560043e78

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=sha256:1504f14d51b1b9b3c263ca1bd8445cacb419650065d605381d48303e97f85626

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:d5f91ec4eca5d6f8a266de0d95a22e314e154a6731be3cafdb009c173f7df69a

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:aa2fb80f7d224419bbc21e7c9101c36f410ba2bdc5ec84c47c02f86065699f0a

Pith citing papers

No inbound Pith citation observations are available.