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Paper Citation Record · LEDGER

Rethinking Data Protection in the (Generative) Artificial Intelligence Era

As of 8 August 2026, this Paper Citation Record lists 100 of 141 outbound references and 14 inbound Pith citation observations for arXiv:2507.03034.

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

pith.paper-citation-record.v1
2507.03034 v4

Coverage vector

measured 100 of 141 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:37:22.852375Z

measured 114 of 114 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:39.047131Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 141 outbound references displayed

  • verified exact0
  • verified fuzzy31
  • unresolved69
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 02451310-76b4-4a12-ad87-04b63f88bc17 · outbound

This paper cites Deep learning,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Deep learning,

Reference 1

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source=pdf_text observed=2026-08-06T20:37:13.892829Z digest=sha256:43d856d34311b7b7ca75c4a9190e304ebbe55dfdd5ecea08109122aa857828a6

Observation 14a75ade-d2be-4106-a9f3-3e79a19e52c5 · outbound

This paper cites Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery,

Reference 2

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source=pdf_text observed=2026-08-06T20:37:13.919368Z digest=sha256:300e998782665563d99d8039e50b0a78b9967e63dc164797857f89162c47ab4d

Observation e7051971-b6de-434a-b965-d14c2813deb2 · outbound

This paper cites Large language models in medicine,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Large language models in medicine,

Reference 3

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source=pdf_text observed=2026-08-06T20:37:13.991324Z digest=sha256:07b61eec3f55394f32bf370dfb8de3b657a71ce1348c77d7ddde818520009b20

Observation 50cb8087-57d2-4641-9fa0-4179c625ba6e · outbound

This paper cites Chen and S.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Chen and S

Reference 4

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source=pdf_text observed=2026-08-06T20:37:14.047106Z digest=sha256:761307c01517464365a9df88c0665c6651d0305711619269bbec3cd4d1b3fc5b

Observation fe5b4c3f-5cbc-4dff-9112-48f96e7fd4e0 · outbound

This paper cites A survey of controllable text generation using transformer-based pre-trained language models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era A survey of controllable text generation using transformer-based pre-trained language models,

Reference 5

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source=pdf_text observed=2026-08-06T20:37:14.111631Z digest=sha256:0413d4e11e643b1dcf704694c6dc4492022f3c10a23d82c81cbdc73fa42d4320

Observation bd611ebd-250e-4ccf-a46b-75979d373b1b · outbound

This paper cites Diffusion models in vision: A survey,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Diffusion models in vision: A survey,

Reference 6

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source=pdf_text observed=2026-08-06T20:37:14.195527Z digest=sha256:1f12c51e888d07d46027757c3979f7c1d4fbf0df6079a622f2854057370f35ac

Observation 1be48899-d350-444d-b256-a936132617b2 · outbound

This paper cites GPT-4 Technical Report.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era GPT-4 Technical Report

Reference 7

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source=pdf_text observed=2026-08-06T20:37:14.284544Z digest=sha256:ea31eb46eeb43a09ffc6e93e79cd925ac65759c49dcfaf7ed2ab3544b9fb0df3

Observation 43358ee4-1e68-4f26-9d9a-3114f7effb4a · outbound

This paper cites Midjourney,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Midjourney,

Reference 8

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source=pdf_text observed=2026-08-06T20:37:14.394322Z digest=sha256:811fb317ed88bd625e0e09f18ddc7ad7cf98d232a80ce560d04d6a428710ce1a

Observation e8ef17cd-900d-49b2-9be0-ba76fd5f6b4f · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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source=pdf_text observed=2026-08-06T20:37:14.471809Z digest=sha256:cdf54d71519e2d905f3f56e5a3b9f8454e29813138273549b12ae7a915605a96

Observation 669453d0-7291-4192-9ecc-898eee09614e · outbound

This paper cites Towards generalist biomedical ai,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Towards generalist biomedical ai,

Reference 10

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source=pdf_text observed=2026-08-06T20:37:14.551297Z digest=sha256:1c7e34965e2b26f0d1ba70167f70a870c1f31c4b5cd8ae1fcff8a3a3cc6fcfcd

Observation 89dd6e84-27b3-490d-8040-d58abd20b96d · outbound

This paper cites The cancer genome atlas pan-cancer analysis project,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era The cancer genome atlas pan-cancer analysis project,

Reference 11

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source=pdf_text observed=2026-08-06T20:37:14.610804Z digest=sha256:1e475576ccf36100a1b5693a1e101d10ee8a78afa11099d98dc6d9a7d19cf550

Observation 818e0623-d76c-49f8-803c-d5dc19a8d316 · outbound

This paper cites Advances, challenges and opportunities in creating data for trustworthy ai,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Advances, challenges and opportunities in creating data for trustworthy ai,

Reference 12

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source=pdf_text observed=2026-08-06T20:37:14.696674Z digest=sha256:607239fd4142c3fa0ace770f6989eda0d039259b137781e4be16b2623f8d35f3

Observation 64db2365-eb50-4ea5-80bb-ce2fde82ea1e · outbound

This paper cites General data protection regulation,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era General data protection regulation,

Reference 13

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source=pdf_text observed=2026-08-06T20:37:14.771415Z digest=sha256:2f0ea5ad82fd196955dccefbcbb6b45d618b5fb0dc9e7a3bf5746ddcff28cd08

Observation 82fb6d43-d83f-457d-a9dc-804159174c26 · outbound

This paper cites Eu ai act,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Eu ai act,

Reference 14

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source=pdf_text observed=2026-08-06T20:37:14.848877Z digest=sha256:63e776b9b2fb052a0181f8d371cbd232a92807ceed17ee42dc591703bc4000dc

Observation 161fbaae-a695-45f7-901c-1f90f98bcdbd · outbound

This paper cites Identity-based encryption from the weil pairing,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Identity-based encryption from the weil pairing,

Reference 15

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source=pdf_text observed=2026-08-06T20:37:14.907168Z digest=sha256:ac25ee41b4806a8484e6d67d20b4e63a5f9944fa39238ebc8ce9fc720ff24f51

Observation 10f4bf60-be3f-4baf-a260-3bbaf4b5e782 · outbound

This paper cites A survey on fully homomorphic encryption: An engineering perspective,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era A survey on fully homomorphic encryption: An engineering perspective,

Reference 16

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source=pdf_text observed=2026-08-06T20:37:15.017018Z digest=sha256:ae3655c8597396b1f650573fb503c172ab0fbb9796252e1cf2f05006b1d399b5

Observation 2b1ad5a6-886c-4950-a46d-f7486e8cbc85 · outbound

This paper cites Identity-based encryption transformation for flexible sharing of encrypted data in public cloud,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Identity-based encryption transformation for flexible sharing of encrypted data in public cloud,

Reference 17

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source=pdf_text observed=2026-08-06T20:37:15.090633Z digest=sha256:9b6a887670d4139ed1fa30265d7470f9cdd28c0c90629276a99b05c646ca3ee1

Observation 0de8b369-8999-47bb-9791-53cd72368a64 · outbound

This paper cites Multimedia watermarking techniques,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Multimedia watermarking techniques,

Reference 18

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source=pdf_text observed=2026-08-06T20:37:15.151495Z digest=sha256:6e716a168a478ff30579c6d3e33faa3b50ce85d8fe7dcc78e4737bb6d243be6e

Observation f3df3606-ab18-4f10-bf9c-47639eabcae0 · outbound

This paper cites Deepmih: Deep invertible network for multiple image hiding,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Deepmih: Deep invertible network for multiple image hiding,

Reference 19

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source=pdf_text observed=2026-08-06T20:37:15.275389Z digest=sha256:f70fcf241425104da684c8f996ec2b30fda303517aaea6c189856745058238b0

Observation fbaeadcd-c6c2-4cf5-bfe0-419eab8e3042 · outbound

This paper cites Nft-based data marketplace with digital watermarking,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Nft-based data marketplace with digital watermarking,

Reference 20

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source=pdf_text observed=2026-08-06T20:37:15.334622Z digest=sha256:24072ecc0e019258c92457c1cf0779846e6dc28e203f54178f54c53cb3318583

Observation 4169042f-9f89-47de-bf59-223dba99fa8f · outbound

This paper cites A survey of privacy attacks in machine learning,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era A survey of privacy attacks in machine learning,

Reference 21

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source=pdf_text observed=2026-08-06T20:37:15.434450Z digest=sha256:477b7094540e2d0580f3cf4bdd47f23fd3557f1ff1e6377a2888960c21fba97a

Observation 96fed6a2-d013-4023-be4d-6568a5dd7844 · outbound

This paper cites Reconciling privacy and accuracy in ai for medical imaging,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Reconciling privacy and accuracy in ai for medical imaging,

Reference 22

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source=pdf_text observed=2026-08-06T20:37:15.549442Z digest=sha256:a54b2e6a7b84d8345601ea8d09eecc8f40bcc86023314d1a1edb4178d29e6e92

Observation 0a5b245c-6291-42c1-9b95-1ce586c08d55 · outbound

This paper cites On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era On responsible machine learning datasets emphasizing fairness, privacy and regulatory norms with examples in biometrics and healthcare,

Reference 23

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source=pdf_text observed=2026-08-06T20:37:15.632165Z digest=sha256:4b27d2a8fa8df9a95bbdbf628bbd3be323b7193fbb3ee09d279e919b3eff354e

Observation 51ad277e-58ab-47c7-af02-a6c80a70dbee · outbound

This paper cites On benchmarking code llms for android malware analysis,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era On benchmarking code llms for android malware analysis,

Reference 24

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source=pdf_text observed=2026-08-06T20:37:15.728863Z digest=sha256:4e7420910f2933563f8637ddf37a283d229c6a69bab2aa36025204f3ec095dcc

Observation 02f1a37f-32bb-4597-a635-84ae15aaf511 · outbound

This paper cites Denoising diffusion probabilistic models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Denoising diffusion probabilistic models,

Reference 25

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source=pdf_text observed=2026-08-06T20:37:15.814302Z digest=sha256:98d6289116a0b49f18cdba7c236ce19dee770b59ed60974cd9a99bc27a275bb9

Observation bbfc1dab-4e2c-42b8-9ce4-b1cbfd1e057d · outbound

This paper cites Samsung bans chatgpt among employees after sensitive code leak,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Samsung bans chatgpt among employees after sensitive code leak,

Reference 26

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source=pdf_text observed=2026-08-06T20:37:15.862974Z digest=sha256:59d97a0476d3c281a971640382eb299dac732b865f048ce4769780f53e9b3731

Observation 8004830c-cca9-4000-8225-4fea75195383 · outbound

This paper cites Chatgpt is banned in italy over privacy concerns,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Chatgpt is banned in italy over privacy concerns,

Reference 27

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source=pdf_text observed=2026-08-06T20:37:15.955534Z digest=sha256:4fbf0d82f00090ddd8387a7340568a560b367605cc16b7cd380db43a04a75fcb

Observation 1c499687-74ab-4bd7-93ce-88e04455a5f8 · outbound

This paper cites Bridging the data provenance gap across text, speech and video,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Bridging the data provenance gap across text, speech and video,

Reference 28

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source=pdf_text observed=2026-08-06T20:37:16.016462Z digest=sha256:93f58ddf8e97eb066ef2f5aaa5e8351adf91a38b70afd28f7391f324004a781d

Observation 90dc3456-219c-44fe-8628-410dbb72f7cb · outbound

This paper cites Deep learning with differential privacy,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Deep learning with differential privacy,

Reference 29

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source=pdf_text observed=2026-08-06T20:37:16.106099Z digest=sha256:695a1595e591c587fa00487989d4dd87761914b54cc36d9342b56a5bbe3cb811

Observation 992d20da-fb1c-4a2a-8fc0-acef4bba3fb0 · outbound

This paper cites Black- box dataset ownership verification via backdoor watermarking,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Black- box dataset ownership verification via backdoor watermarking,

Reference 30

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source=pdf_text observed=2026-08-06T20:37:16.195805Z digest=sha256:fd8a4485025e203aefe703371155aca1745b93ac0e86b892b944045a023efff0

Observation 6dd2b462-f52c-4a9c-825a-70c952da4ab8 · outbound

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

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Imagenet: A large-scale hierarchical image database,

Reference 31

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source=pdf_text observed=2026-08-06T20:37:16.299086Z digest=sha256:b5f47c951d7bcaa1bb5b4e741008c3644b037dcc454357a1b3ce44f77cedaf15

Observation 8bec7150-66d4-4cac-9454-1ed2c4f3228d · outbound

This paper cites k-anonymity: A model for protecting privacy,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era k-anonymity: A model for protecting privacy,

Reference 32

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source=pdf_text observed=2026-08-06T20:37:16.385137Z digest=sha256:cc9757decca603e278264d4aa141728f5a869fcf5da02d21a9da42d7f8e11d20

Observation 48d27606-7a69-4d3c-87c6-f79ea4f72d0a · outbound

This paper cites Unlearn- able examples: Making personal data unexploitable,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Unlearn- able examples: Making personal data unexploitable,

Reference 33

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source=pdf_text observed=2026-08-06T20:37:16.458858Z digest=sha256:ef203cfb017ad56fbb9d6c233c0d5085ed047ddd9000ba5d57e0f1866ec0995d

Observation 6e9a99f2-b480-4e78-b69d-89587bacfe38 · outbound

This paper cites Sok: Dataset copyright auditing in machine learning systems,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Sok: Dataset copyright auditing in machine learning systems,

Reference 34

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source=pdf_text observed=2026-08-06T20:37:16.563146Z digest=sha256:dc4991024945197c42bc84ebd4dde762ee8216a1569fb17bc7eb37faff73e22f

Observation 2482ef41-97d4-4616-a04b-87e249b86fff · outbound

This paper cites Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Untargeted backdoor watermark: Towards harmless and stealthy dataset copyright protection,

Reference 35

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source=pdf_text observed=2026-08-06T20:37:16.695673Z digest=sha256:62014bcd7abd7d4a5ee68eff2a4ff7030a6ba6c6ba45de3c49a79039642b7026

Observation 3cd8f20c-5f92-41cc-9d2e-175bb135e284 · outbound

This paper cites Zeromark: Towards dataset ownership verification without disclosing watermarks,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Zeromark: Towards dataset ownership verification without disclosing watermarks,

Reference 36

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source=pdf_text observed=2026-08-06T20:37:16.868230Z digest=sha256:db6859bf3da6b95101aa84a511cf3bbc9626eb9b0608c22046f600cb6db446ab

Observation 0dd4abc3-d8db-4668-914c-3d8ff5a922fc · outbound

This paper cites Towards reliable verification of unauthorized data usage in personalized text-to-image diffusion models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Towards reliable verification of unauthorized data usage in personalized text-to-image diffusion models,

Reference 37

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source=pdf_text observed=2026-08-06T20:37:16.946309Z digest=sha256:5b83238aeb1cab6845a9c2ee5d9354ef2626a10eb408853abe9630cf8dbf4a43

Observation 17749702-51a9-4b86-b966-3bd4c832eae6 · outbound

This paper cites Duwak: Dual water- marks in large language models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Duwak: Dual water- marks in large language models,

Reference 38

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source=pdf_text observed=2026-08-06T20:37:17.017544Z digest=sha256:a1fcc16e2f1708ad926107996d442571e8f1e97d86970ac8f5aa6552f5b9cdc1

Observation 2a939409-2535-4093-a5db-21ba1b44e90d · outbound

This paper cites Tabwak: A watermark for tabular diffusion models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Tabwak: A watermark for tabular diffusion models,

Reference 39

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source=pdf_text observed=2026-08-06T20:37:17.087142Z digest=sha256:4dd9a5453e8de8f4870df8838753bab461e325281b67ee9327e96589aec4017e

Observation 29d061b8-f389-4345-a931-106d73afa791 · outbound

This paper cites Optimizing generative ai by backpropagating language model feedback,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Optimizing generative ai by backpropagating language model feedback,

Reference 40

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source=pdf_text observed=2026-08-06T20:37:17.143549Z digest=sha256:88014899eb1148bed90957893bbed30f7aed89b2b5eb9c18aff2b69767a80221

Observation c1009a11-e307-4710-9e49-6932742c7bf6 · outbound

This paper cites Move: Effective and harmless ownership verification via embedded external features,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Move: Effective and harmless ownership verification via embedded external features,

Reference 41

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source=pdf_text observed=2026-08-06T20:37:17.307543Z digest=sha256:4ed87a53cb633b94f20afa4e4ebc2a2da92ff550f761dfadd9123aebd461f1f1

Observation a7abc8b3-d8c4-4c67-ac68-40babdaad796 · outbound

This paper cites I know what you trained last summer: A survey on stealing machine learning models and defences,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era I know what you trained last summer: A survey on stealing machine learning models and defences,

Reference 42

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source=pdf_text observed=2026-08-06T20:37:17.406452Z digest=sha256:1a68567534b37675d398cf00c3708aa89cbb483b21867d72d9ddb5d58b7a137b

Observation d52576e6-e76e-4bcb-a103-4df99fc0ec71 · outbound

This paper cites Explanation as a watermark: Towards harmless and multi-bit model ownership verification via watermarking feature attribution,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Explanation as a watermark: Towards harmless and multi-bit model ownership verification via watermarking feature attribution,

Reference 43

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source=pdf_text observed=2026-08-06T20:37:17.481708Z digest=sha256:ef845b926bdd76e5fc7b36b1da1081027effa763fdb7d24570f806409a20b99c

Observation 3b1e134f-78ee-48b0-aa89-a985322d1918 · outbound

This paper cites Sleepermark: Towards robust watermark against fine-tuning text-to- image diffusion models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Sleepermark: Towards robust watermark against fine-tuning text-to- image diffusion models,

Reference 44

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source=pdf_text observed=2026-08-06T20:37:17.567887Z digest=sha256:8f5bee1e1909e4bfaa9b278af1dce39076e73b649a5127a5ec0e7a8d027bebe0

Observation d04926eb-bd06-4ea6-926d-b6ce50c0486b · outbound

This paper cites Leveraging language model for advanced multiproperty molecular optimization via prompt engineering,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Leveraging language model for advanced multiproperty molecular optimization via prompt engineering,

Reference 45

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source=pdf_text observed=2026-08-06T20:37:17.635845Z digest=sha256:48009aab1de3c81e07a530186b40dfca47319176bcce3a54e7a095ea2cdec15f

Observation 9861ab63-ae5b-4fdf-9287-cd9d34ca626e · outbound

This paper cites Extracting accurate materials data from research papers with conversational language models and prompt engineering,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Extracting accurate materials data from research papers with conversational language models and prompt engineering,

Reference 46

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source=pdf_text observed=2026-08-06T20:37:17.798578Z digest=sha256:b1ca9a8bc48f16ca18013366073ca8eb9611c6732a1a78058a6a80b8ccd41408

Observation c019ac72-413c-4dbb-9c13-55168351f081 · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 47

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source=pdf_text observed=2026-08-06T20:37:17.878785Z digest=sha256:a74cd09fa0958690337d6cf2c2e43cbf61cfa992519aa6fb898432e2f30d62c4

Observation 54ab0797-55a1-4fbb-b8ea-8a5b217a9032 · outbound

This paper cites Evaluating retrieval quality in retrieval- augmented generation,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Evaluating retrieval quality in retrieval- augmented generation,

Reference 48

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source=pdf_text observed=2026-08-06T20:37:17.958439Z digest=sha256:b9ead3ff5c91cbf81d80386cecfcd7e71eba5bd633ec332d98d7ce8464b8479b

Observation b1a0cecc-3093-48d6-a69c-4d06373165ab · outbound

This paper cites Promptcare: Prompt copyright protection by watermark injection and verification,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Promptcare: Prompt copyright protection by watermark injection and verification,

Reference 49

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source=pdf_text observed=2026-08-06T20:37:18.080445Z digest=sha256:ce17cbb01346883ff123a655cd374655eaa9424781dca3a01f0dc25a8ef8daea

Observation 32e0a577-b1a7-460b-8735-7675c9e4d7db · outbound

This paper cites Prompt stealing attacks against text-to-image generation models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Prompt stealing attacks against text-to-image generation models,

Reference 50

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source=pdf_text observed=2026-08-06T20:37:18.184250Z digest=sha256:48ece1a2048ffaa3a69c2312bd4dcb671d904e52cbd476bae56c164301eefe1f

Observation 086cfe47-5ad0-4508-85a7-0a8eeb97f85e · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era A survey on rag meeting llms: Towards retrieval-augmented large language models,

Reference 51

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source=pdf_text observed=2026-08-06T20:37:18.302712Z digest=sha256:2b5f1e5b3eee6d5169f616389d450e5a747f005f48c0be61152d3162499e1031

Observation 97415a53-56ec-4d1b-a146-573359fd03e6 · outbound

This paper cites When machine learning meets privacy: A survey and outlook,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era When machine learning meets privacy: A survey and outlook,

Reference 52

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source=pdf_text observed=2026-08-06T20:37:18.403484Z digest=sha256:4f5feceacdf844271e67d5f464e8845709d253c05695bcbc04be97aa0734216a

Observation cc838c89-4715-4025-9773-5fe22ce65a79 · outbound

This paper cites Achieving secure, scalable, and fine-grained data access control in cloud computing,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Achieving secure, scalable, and fine-grained data access control in cloud computing,

Reference 53

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source=pdf_text observed=2026-08-06T20:37:18.510575Z digest=sha256:eac1621101e260bce2f3694f64dff6bb36642acdddded0419414b8bf784f1a61

Observation 0f684c69-8917-4055-bb10-79755642b3ee · outbound

This paper cites A blockchain- based auditable access control system for private data in service-centric iot environments,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era A blockchain- based auditable access control system for private data in service-centric iot environments,

Reference 54

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source=pdf_text observed=2026-08-06T20:37:18.588598Z digest=sha256:6837326a16402d0735d2a75f141b91f81e833e40f6a35edbeb640da81749f4fd

Observation 25288d92-66b5-4079-8a4d-42ce23e9f23e · outbound

This paper cites Cheetah: Lean and fast secure two-party deep neural network inference,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Cheetah: Lean and fast secure two-party deep neural network inference,

Reference 55

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source=pdf_text observed=2026-08-06T20:37:18.705404Z digest=sha256:31dab24455c21e6d73d5718fc23641be5e0360879c507802f56062fb0c065e2c

Observation a9ce5e99-aa14-40b5-bcfe-ebcfa9e11650 · outbound

This paper cites Secure transformer inference made non- interactive,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Secure transformer inference made non- interactive,

Reference 56

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source=pdf_text observed=2026-08-06T20:37:18.803677Z digest=sha256:ff33dc68482262920983ce861c3c7acd8986b4cc8c96f56487be4e994dea0f4a

Observation ceacaf1e-d3c8-4123-a75b-f8be366b7df9 · outbound

This paper cites Prompt inversion attack against collaborative inference of large language models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Prompt inversion attack against collaborative inference of large language models,

Reference 57

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source=pdf_text observed=2026-08-06T20:37:18.885829Z digest=sha256:c6fadc4a2879e3ff356c4bcacefb1d1cd890bad47ffbcea8e1b7751ae60410ce

Observation d71c9fad-8cf2-4bdd-8051-fd24611e156b · outbound

This paper cites Palm-e: An embodied multimodal language model,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Palm-e: An embodied multimodal language model,

Reference 58

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source=pdf_text observed=2026-08-06T20:37:18.967125Z digest=sha256:87d62d006b30814a4860c1f097d1ba264cba8bb8318d8e7286ce4c4a58443688

Observation e30c98c7-447d-4b30-aadd-0fdc13b646e6 · outbound

This paper cites Towards transparency and knowledge exchange in ai-assisted data analysis code generation,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Towards transparency and knowledge exchange in ai-assisted data analysis code generation,

Reference 59

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source=pdf_text observed=2026-08-06T20:37:19.069076Z digest=sha256:16a92103a54c0395f2d2ba8c36c5fd7c9a5ef513812bde3eab337517c33b8a9c

Observation 35e8ccdf-05c0-4bd1-9112-c079de87e58f · outbound

This paper cites SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI

Reference 60

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source=pdf_text observed=2026-08-06T20:37:19.154829Z digest=sha256:32ce1a3f50c082b43e886a7f49b821990c4627926d49bee7c7008561b904ac86

Observation 9cb72d40-015f-488d-9432-cad53b7ade4f · outbound

This paper cites Sok: Watermarking for ai-generated content,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Sok: Watermarking for ai-generated content,

Reference 61

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source=pdf_text observed=2026-08-06T20:37:19.277751Z digest=sha256:c4bc355b0125bb01c366a6c46c0cbdd841b28c7190188afb63bdbbc8872b5e2e

Observation 0c5af062-ba38-4723-a618-b72b1bce0d6b · outbound

This paper cites Generative ai meets copyright,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Generative ai meets copyright,

Reference 62

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source=pdf_text observed=2026-08-06T20:37:19.379564Z digest=sha256:d2750c1e34e14f8daa9a78a0daca1846a5080d29742af6de858d2ca77fbbec12

Observation d7a6b0c6-671e-4662-a777-2b009ba40829 · outbound

This paper cites Radar: Robust ai-text detection via adversarial learning,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Radar: Robust ai-text detection via adversarial learning,

Reference 63

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source=pdf_text observed=2026-08-06T20:37:19.459628Z digest=sha256:0db4f7143a97c3959ea1391d258487898e3fc923bbd9f3530652b251a296dd5b

Observation 8b9faeb0-27fc-40cc-b347-9c3f768dc88f · outbound

This paper cites RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection

Reference 64

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source=pdf_text observed=2026-08-06T20:37:19.555743Z digest=sha256:41074a5f98f6c82dfa5d75e8e002ccf0d93af9563353959737829e496f885c49

Observation e0f4bfb8-4431-4337-8d3e-b16f6ce7e560 · outbound

This paper cites Where are we in audio deepfake detection? a systematic analysis over generative and detection models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Where are we in audio deepfake detection? a systematic analysis over generative and detection models,

Reference 65

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source=pdf_text observed=2026-08-06T20:37:19.639543Z digest=sha256:598bded4fbb5d70f73c6ba0bbc362e41b93c4845bcd4b7d9cb4a1850d8894ae9

Observation db872024-e55c-4d3f-b0f1-2f1b23259d46 · outbound

This paper cites Knowledge distillation: A survey,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Knowledge distillation: A survey,

Reference 66

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source=pdf_text observed=2026-08-06T20:37:19.715958Z digest=sha256:04e371a8acfbb15d0de04f8ee24d55e4b09700daf3fc938a902d48fe403a5558

Observation 7820ca8b-80ed-4c03-b203-a60b949b45f2 · outbound

This paper cites Decoding the ai pen: Techniques and challenges in detecting ai-generated text,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Decoding the ai pen: Techniques and challenges in detecting ai-generated text,

Reference 67

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raw_fallback, observed 2026-08-06T20:37:37.322665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:19.829846Z digest=sha256:7f19f5c591a3bd17bfac489fd7b0b1e973d7759bae95da9f418be03223db8267

Observation 05eedce6-610c-4f2e-9547-b6666e6915ee · outbound

This paper cites Glaze: Protecting artists from style mimicry by text-to-image models,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Glaze: Protecting artists from style mimicry by text-to-image models,

Reference 68

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raw_fallback, observed 2026-08-06T20:37:37.151711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:19.923743Z digest=sha256:b44a90d41baf372e95a0bf937755231d09658c2ec93bd5e3317155340b295c37

Observation 624857f2-58d8-45fe-bb8d-242a2cc49f0f · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Calibrating noise to sensitivity in private data analysis,

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:37:19.997174Z digest=sha256:ce2be2cd7053b550be3bbe0f1f4fa1bd74c8333d7e1b2c2ce69eb757b5a456a2

Observation 669c8b25-7220-4cd4-b7eb-f64f6b77a416 · outbound

This paper cites Safeear: Content privacy-preserving audio deepfake detection,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Safeear: Content privacy-preserving audio deepfake detection,

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:36.998404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.096628Z digest=sha256:aa90d83b7a8f91736320eba805da27e85c26c93cddc2ef7a205a0d4ee3b3e1fd

Observation 9617a271-8806-4605-841b-7b7ad26ef5d8 · outbound

This paper cites Data protection in ai services: A survey,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Data protection in ai services: A survey,

Reference 71

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:36.835089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.180853Z digest=sha256:aea07abf412d00aa1984f9c96055c44d399c8add907b79eb9f44e2cdb0983dcd

Observation 703ce8a2-a880-449a-9bb5-bf6a8ee0d1bf · outbound

This paper cites Privacy-preserving deep learning,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Privacy-preserving deep learning,

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:36.725167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.293028Z digest=sha256:d6e1d97424e680adbc901a1b9b40b762e994cf2b5b5bb0f0fa32a99854527670

Observation 90d7cbc1-f73b-4dfc-889d-4af0bc23a59e · outbound

This paper cites Backdoor learning: A survey,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Backdoor learning: A survey,

Reference 73

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T20:37:20.397659Z digest=sha256:cae8e9a9b8e55d7b91a9b56e5c9e9bd3d8cdf76d9982062d36eb10bdcbfa37ca

Observation b30d43cc-696a-4a2e-a02e-c790a458685a · outbound

This paper cites Medical large language models are vulnerable to data-poisoning attacks,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Medical large language models are vulnerable to data-poisoning attacks,

Reference 74

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:36.513793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.496900Z digest=sha256:14c68c86f4cf3d5687a6256c5284d3754e30d25c7b9ba43f00bc22b1c7576f62

Observation 188e2705-baf7-4336-ae96-08def347b076 · outbound

This paper cites Refine: Inversion-free backdoor defense via model reprogramming,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Refine: Inversion-free backdoor defense via model reprogramming,

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:36.230710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.615700Z digest=sha256:e553f5fcdbdbe3e0bc795c8687c1bf26e186454816ca946171d6623056f38d8d

Observation 077a0042-15d1-499f-983e-278344e53c80 · outbound

This paper cites Which model generated this image? a model-agnostic approach for origin attribution,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Which model generated this image? a model-agnostic approach for origin attribution,

Reference 76

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:35.959177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.718886Z digest=sha256:d62acb1bb868a3338a9c5149fada4ce78c804afe6b3eb1d55d2ad76c75f9c98f

Observation ce552d52-f4a5-4efc-98a1-aa02510f9046 · outbound

This paper cites Machine unlearning,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Machine unlearning,

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-06T20:37:35.646642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.843264Z digest=sha256:74515e5fe6fdcfa6c1e9ecc0bbd73281b2d01ff8dcea65940c143e96dc78a0c3

Observation bcf040a0-89e9-4b1c-9ec4-05d7b33e716b · outbound

This paper cites Communication theory of secrecy systems,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Communication theory of secrecy systems,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:35.326004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.922870Z digest=sha256:272a1eebbb76e99309b08ae03ae7456727522316b2bfb70780b78f595e3f48f8

Observation f873be9f-c501-473a-8ec5-c68e9fbcdb3a · outbound

This paper cites New directions in cryptography,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era New directions in cryptography,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:35.089632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:20.995960Z digest=sha256:bfc584cd373d6d8d8cfc4f548daf19743c2c304cafcadb83780c84473839e4f2

Observation 1f987d1e-d514-49b5-b744-8a1782d608f8 · outbound

This paper cites Encryption and steganog- raphy of synthetic gene circuits,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Encryption and steganog- raphy of synthetic gene circuits,

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.909808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.071103Z digest=sha256:28d64891c27ff59a302a57a1df5ef50cd1d30487cb453330281e4cacf381ca84

Observation bf859f3f-0a6d-4003-80e2-33b3af7184dd · outbound

This paper cites Dac-macs: Effective data access control for multiauthority cloud storage systems,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Dac-macs: Effective data access control for multiauthority cloud storage systems,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.782908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.157485Z digest=sha256:354f38946ce1816a9e2a69a953f8437215b78c1c0acf078910f92f4f95367de9

Observation 3bc5b4a3-178c-41f3-bab8-7af3d3a5888a · outbound

This paper cites Protecting intellectual property with reliable availability of learning models in ai-based cybersecurity services,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Protecting intellectual property with reliable availability of learning models in ai-based cybersecurity services,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.704881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.228141Z digest=sha256:3fa8a5ce12045c2734fe3c96bb49684ec2b805f5c0540bdcd2ad90419b7e957b

Observation f19cf478-3aff-43e3-ba72-7dfa46fc1721 · outbound

This paper cites Activedaemon: Unconscious dnn dormancy and waking up via user-specific invisible token,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Activedaemon: Unconscious dnn dormancy and waking up via user-specific invisible token,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.604314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.349414Z digest=sha256:a1fb2848746204c0b86e68ee682172e0ffa109e52302018f71699ab4c0349dbb

Observation 8f06683b-8383-413f-b3fe-5fb3d7098d6c · outbound

This paper cites Non-transferable learning: A new approach for model ownership verification and applicability authorization,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Non-transferable learning: A new approach for model ownership verification and applicability authorization,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.526647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.485819Z digest=sha256:3a454e36a9d7568cde0689611b9e2be677ef0434cdf459ccd72120c021234910

Observation 532e238a-c452-42f0-a4b2-bbf77c5bd8df · outbound

This paper cites Improving non-transferable representation learning by harnessing content and style,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Improving non-transferable representation learning by harnessing content and style,

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.419470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.558047Z digest=sha256:81b875cc5f6bde1e2d8242e753dcfc3f17c5816ca8e1f5c4a723bb2cf1564ec5

Observation 79fc0aa8-61c8-4641-9c8a-2c9bd850fbaa · outbound

This paper cites A gan-based defense framework against model inversion attacks,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era A gan-based defense framework against model inversion attacks,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.256414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.637605Z digest=sha256:db0b96423d2059461e79b7e94757ed529a475f22ec6f1b30f5def595e17bc494

Observation 7734a5a2-af2f-43bd-a610-be42f52e0124 · outbound

This paper cites l-diversity: Privacy beyond k-anonymity,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era l-diversity: Privacy beyond k-anonymity,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:34.130492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.747597Z digest=sha256:768cfec771b8944f05335c7e3d1fc5f4c0b5f14cdb38061b7cc6c6034a9cbc7f

Observation 5874d20f-49c2-46d7-8540-b015c748af37 · outbound

This paper cites Composition attacks and auxiliary information in data privacy,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Composition attacks and auxiliary information in data privacy,

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.991903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.866131Z digest=sha256:b3473e3bc99bd70620a52842eb7f11a062b17750e84c6ccecf3b29aa27c57a7a

Observation 3b235caf-272a-4446-a805-a4fa2f7cd4ad · outbound

This paper cites Locally differentially private document generation using zero shot prompting,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Locally differentially private document generation using zero shot prompting,

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.871215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:21.940808Z digest=sha256:9e5f3b0226ae3140276fd77029afaeb2eef6b0b1cbb629c8a14570f09f556ba0

Observation d8d04113-8f10-4a30-8bdd-da2de5e75fd2 · outbound

This paper cites Local differentially private heavy hitter detection in data streams with bounded memory,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Local differentially private heavy hitter detection in data streams with bounded memory,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.762053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.004216Z digest=sha256:b677d60ac2e3278614e35a65a10552b239ebece3aa33c07149360dab7247e3d3

Observation f3689a21-14a7-405f-bbca-055abfc9b83c · outbound

This paper cites Pate-gan: Generating synthetic data with differential privacy guarantees,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Pate-gan: Generating synthetic data with differential privacy guarantees,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.633809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.088825Z digest=sha256:35450c7dfc30ea0f477b5e84b03e3bdff7af729a3726f49e9a155e80e607057c

Observation e5267b47-302c-40e3-b863-499aaf3f7039 · outbound

This paper cites Public-key cryptosystems based on composite degree residuosity classes,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Public-key cryptosystems based on composite degree residuosity classes,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.532466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.176391Z digest=sha256:2925368fd145fe4c89d1eefef15f4564458e948d9639a1ffbc547261319fb75f

Observation 9b14bab7-b6e7-422b-8848-f712218f12c3 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Communication-efficient learning of deep networks from decentralized data,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.412667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.297900Z digest=sha256:44b1ad7d6522bee157b9fd24bd0502395432f1e091bbdb929317b87e1f920bf4

Observation f4894349-a575-4859-b55b-74b8b2dd1d55 · outbound

This paper cites Distributed learning of deep neural network over multiple agents,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Distributed learning of deep neural network over multiple agents,

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T20:37:22.379130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:37:22.379130Z digest=sha256:f03db5a610df556579b14c4755177ed20f0f4170ab41fa592e78997d302ebff9

Observation a4ccc622-f352-4f5c-a52f-3ca3479a3dce · outbound

This paper cites Data-driven federated learning in drug discovery with knowledge distillation,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Data-driven federated learning in drug discovery with knowledge distillation,

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.251295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.480598Z digest=sha256:c236844e04092e3b4cf2feebd79e0eb2851103632c1364b4b9ba18d4a6b14cf5

Observation 29d016e8-60c1-4ba2-a2d4-91484abc5573 · outbound

This paper cites Domain watermark: Effective and harmless dataset copyright protection is closed at hand,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Domain watermark: Effective and harmless dataset copyright protection is closed at hand,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.131385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.577626Z digest=sha256:085fa59467e19dc1b52157fff7b6b00d237ad1c13ce37427afa84aa3d41e2f11

Observation f5a9b58a-53d8-4683-b7e3-885bbf391864 · outbound

This paper cites Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Pointncbw: Towards dataset ownership verification for point clouds via negative clean-label backdoor watermark,

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:33.012259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.654059Z digest=sha256:c9ee43e42bdd6861efa070a7a44c33f0e3c41eb2326f19d52afd9906a4e10a90

Observation c41b91f2-f615-4d1d-a275-f850d6cc27f0 · outbound

This paper cites Defending against model stealing via verifying embedded external features,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Defending against model stealing via verifying embedded external features,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:32.862862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.714605Z digest=sha256:ad468f9fe16070e289d228e0accba0c00b1549f57ecf06697c764c5c6f0f2f88

Observation 311a75b5-474f-4557-bf30-6b3efd970d1e · outbound

This paper cites Fedtracker: Furnishing ownership verification and traceability for federated learning model,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Fedtracker: Furnishing ownership verification and traceability for federated learning model,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:32.715060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.782725Z digest=sha256:67efd5ab1bbae78bc38b577f828b45d5aeec134935bb8ebc53b2eb2a076bac9f

Observation 2aa2951e-4b82-49d4-be7d-a71d28938464 · outbound

This paper cites Fragile watermarking with error-free restoration capability,.

Rethinking Data Protection in the (Generative) Artificial Intelligence Era Fragile watermarking with error-free restoration capability,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:37:32.523200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:37:22.852375Z digest=sha256:389aac62d4a7fa617353ed38e048010fe0b3af9646f5fac92ee9e0dcbdf7f2fc

Pith citing papers

Observation 782fc476-9a29-417f-a6d0-e237e47e33e8 · inbound

4KAgent: Agentic Any Image to 4K Super-Resolution cites this paper.

4KAgent: Agentic Any Image to 4K Super-Resolution Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:39.047131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:39.047131Z digest=sha256:0a8501f606b8baf990160715356cfbcf96c307c88dc4b456ae86bccb62c39af1

Observation bdac1450-45df-46ff-8d44-afecbc705a4c · inbound

The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents cites this paper.

The Man Behind the Sound: Demystifying Audio Private Attribute Profiling via Multimodal Large Language Model Agents Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T17:45:45.105250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:45.105250Z digest=sha256:3aed45561fb345f8d8295cd5eb3d2fa0c4e0d4ada7a288fae2e0918be97fa449

Observation 404ce738-0098-4956-9d4b-9e6a9269fe20 · inbound

Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID cites this paper.

Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T15:20:02.772482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:20:02.772482Z digest=sha256:bc13be36271c16ae6815336f2bbacee4a2b618df583c5156c2cbd0500b629d38

Observation 18de9ac7-d184-4fdb-91e9-eaa6c7df87e0 · inbound

Sliced Transport Plans cites this paper.

Sliced Transport Plans Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T05:46:29.958271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:46:29.958271Z digest=sha256:592dc3c8321bb22ec686964cbdfb284627878533908a37587512611005bfa470

Observation 9d0bf9fc-d4db-4487-925a-21906a570e02 · inbound

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection cites this paper.

Coward: Collision-based OOD Watermarking for Practical Proactive Federated Backdoor Detection Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:31:57.779278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T01:27:38.219528Z digest=sha256:1dad9b2ee999c14e11520264b651c8de66b9af4ad3600ca0ee2d6233f5674c47

Observation 076ab832-ef00-4ee0-8432-29542a29accb · inbound

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification cites this paper.

Memory Enhanced Fractional-Order Dung Beetle Optimization for Photovoltaic Parameter Identification Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T22:32:12.091328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:32:12.091328Z digest=sha256:c41e5c8d58672a309d21f93160d97873778c9f48d69d89a8904eb9b70cf4c363

Observation 465436d7-7b6d-4a38-999b-30ea2981c883 · inbound

PromptCOS: Towards Content-only System Prompt Copyright Auditing for LLMs cites this paper.

PromptCOS: Towards Content-only System Prompt Copyright Auditing for LLMs Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:00:29.507998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-25T08:00:04.738274Z digest=sha256:fa660a5916d1a28883a322febdb1e7381e4182fde35698715c5133c5a90b8a83

Observation f687ac63-bcdd-4f18-a7eb-9f764e81d232 · inbound

External Data Extraction Attacks against Retrieval-Augmented Large Language Models cites this paper.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T12:43:23.151874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T12:43:23.151874Z digest=sha256:6e92cd7d1a334d597f2298a916e883cf57919d1f267c1227e6ffc41712747829

Observation 73a583a3-b6e9-4cac-9ff4-dbaf7f5cdbaa · inbound

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking cites this paper.

SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T00:01:50.819622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T00:01:50.819622Z digest=sha256:276d8aacca2259afebcfb53d35b98d578e6fb0dc57fe7bb3ad754f8bbf1719c0

Observation eb3a0e23-a071-42fa-81ad-e3c7df3cdc60 · inbound

RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing cites this paper.

RDSplat: Robust Watermarking for 3D Gaussian Splatting Against 2D and 3D Diffusion Editing Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:33:44.554930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T00:33:29.282349Z digest=sha256:0865c4fedee36db489a9a79360e965b4f09697a617f480ff8e2b48c11e2b5b89

Observation ec7afc5c-96fe-46ff-b305-6b01f0296f3d · inbound

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought cites this paper.

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:43:23.518713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-29T11:41:36.009531Z digest=sha256:1d1aa288d2ef07ffd08a786c158b86a5b98dd88d8eb5d376e4e30808f5514b40

Observation 53ef707e-094a-49c0-a697-d1cdf0ac9c1f · inbound

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models cites this paper.

LoRA-Key: User-Centric LoRA Watermarking for Text-to-Image Diffusion Models Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:33:31.025465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 195

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Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization cites this paper.

Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization Rethinking Data Protection in the (Generative) Artificial Intelligence Era

Reference 29

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