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Paper Citation Record · LEDGER

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

As of 16 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 3 inbound Pith citation observations for arXiv:2510.10982.

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

pith.paper-citation-record.v1
2510.10982 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:25:24.083539Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:20:31.569023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T06:59:12.149142Z

Reference resolution

58 of 58 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved56
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 861bea60-b927-4539-ba4c-9540c61a731f · outbound

This paper cites URL https://www.anthropic.com/.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization URL https://www.anthropic.com/

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:25:19.663836Z digest=sha256:ed30e20016f866b4c566728d66e4c4aa93fd47c809718ddbee48a020bdd85ba3

Observation 0a1aff55-3dcb-4988-8154-25ec9014781c · outbound

This paper cites Harnessing data and digital technology: Interim report.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Harnessing data and digital technology: Interim report

Reference 2

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source=arxiv_source observed=2026-08-04T10:25:19.754894Z digest=sha256:82c8c52d7d21930cbbfe3de1687344febee683b1f28e3f9cc6158774c875e54e

Observation e717512c-6d5e-43ac-83df-21fc78d0bcf3 · outbound

This paper cites AUTHSCAN: automatic extraction of web authentication protocols from implementations.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization AUTHSCAN: automatic extraction of web authentication protocols from implementations

Reference 3

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source=arxiv_source observed=2026-08-04T10:25:19.825326Z digest=sha256:a304e0113ea61e332b2fe15f9a0987067ba77ef3bf47dc0f78a69f17605f010b

Observation 7d54312e-f2f0-4144-9ce6-da5230c64008 · outbound

This paper cites Qwen2.5-VL Technical Report.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Qwen2.5-VL Technical Report

Reference 4

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source=arxiv_source observed=2026-08-04T10:25:19.892391Z digest=sha256:ba0ef70b8ef38b3f487614ea8ff56f97fa25864918c7f258a6ff2c01252eb0b7

Observation 1de4b6f2-cdd9-48cc-ac43-c8827cfec0e2 · outbound

This paper cites Tenseal: A library for encrypted tensor operations using homomorphic encryption, 2021.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Tenseal: A library for encrypted tensor operations using homomorphic encryption, 2021

Reference 5

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source=arxiv_source observed=2026-08-04T10:25:20.021272Z digest=sha256:fa4f19820a6edbc6ead8af995bf0283d100f66cc57b1bec0d574aa38c0fe748f

Observation 061c6e4f-d1ab-4336-bc00-b415dd9c9106 · outbound

This paper cites The hoffman-wielandt inequality in infinite dimensions.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization The hoffman-wielandt inequality in infinite dimensions

Reference 6

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source=arxiv_source observed=2026-08-04T10:25:20.113850Z digest=sha256:14fb9c9d17a388316bd31c20651db3e193f71becc2b13ef9875ce1b8aba36719

Observation b0fc403c-193a-4ab8-9534-ce63ab130881 · outbound

This paper cites Certified adversarial robustness via randomized smoothing.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Certified adversarial robustness via randomized smoothing

Reference 7

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source=arxiv_source observed=2026-08-04T10:25:20.187996Z digest=sha256:baad92b330beb542a3bdc6ff116f6b1820078977e9e5a4620163a327966813d0

Observation 417ee3d9-12b8-44d7-a599-3d04487ba7d6 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 8

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source=arxiv_source observed=2026-08-04T10:25:20.316137Z digest=sha256:df0aac64dfef3d5ecbac962176fc02c71b72af06ddd0ee3e47d8b1ccb70acf65

Observation f6f5ee58-d7d8-4b5d-a7b3-240355da8b77 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization An image is worth 16x16 words: Transformers for image recognition at scale

Reference 9

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source=arxiv_source observed=2026-08-04T10:25:20.443573Z digest=sha256:61dd8fa8163b52bf77031cc1da29e0fad40b788b0f2dad4a8cd99e2c166aee3c

Observation b4e665b9-58c4-450e-98ff-27f3e21f9556 · outbound

This paper cites Differential privacy.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Differential privacy

Reference 10

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source=arxiv_source observed=2026-08-04T10:25:20.503712Z digest=sha256:af8e395a9a81b7db6e6ecf932f1f033febd6dfd905cd05bc477ffde0baa7f4f8

Observation 6954ba98-0434-4ced-99db-0ff0f07ed034 · outbound

This paper cites The algorithmic foundations of differential privacy.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization The algorithmic foundations of differential privacy

Reference 11

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source=arxiv_source observed=2026-08-04T10:25:20.575563Z digest=sha256:3a768cb8c96722ec46a1b3ceb0a35d78b722ce5c048854c19de3d5e594ef6b25

Observation 4bfd0dd3-ddef-4935-9120-64ef2fc52659 · outbound

This paper cites Regulation (eu) 2024/1689 of the european parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act).

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Regulation (eu) 2024/1689 of the european parliament and of the council laying down harmonised rules on artificial intelligence (artificial intelligence act)

Reference 12

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source=arxiv_source observed=2026-08-04T10:25:20.663405Z digest=sha256:2cbf46165f91863c0b5e051ac75f9c8e512d50337a8b9e2a3f4ed1e376e3172d

Observation e238ba72-1fb7-4975-9b00-a3aca762cf3d · outbound

This paper cites Uncovering gradient inversion risks in practical language model training.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Uncovering gradient inversion risks in practical language model training

Reference 13

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source=arxiv_source observed=2026-08-04T10:25:20.755605Z digest=sha256:3cf3ebe287a395baf46e07a97a2ff1027d2a936e4a32f39769b2f8eee152b00d

Observation 4265d1eb-a6b4-495a-81a3-a38cd5d4a44c · outbound

This paper cites Strengthening our Frontier Safety Framework.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Strengthening our Frontier Safety Framework

Reference 14

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source=arxiv_source observed=2026-08-04T10:25:20.855775Z digest=sha256:59aab5723e19df5fb6d85f70f153782ae1732e6e73f3bddb29f45e94a4534602

Observation 3df66a64-89ae-420d-a40c-cdda19a489e2 · outbound

This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Reference 15

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source=arxiv_source observed=2026-08-04T10:25:20.960726Z digest=sha256:3f592087c61d0b1bd281e2b6a5999209f2a353b99225a103d73b70f121191706

Observation 592b976a-c571-44e3-a75a-7a567bac79b9 · outbound

This paper cites Property inference attacks on fully connected neural networks using permutation invariant representations.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Property inference attacks on fully connected neural networks using permutation invariant representations

Reference 16

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source=arxiv_source observed=2026-08-04T10:25:21.058507Z digest=sha256:7976d64da2b225423e8bea30254d8ff64f6209a565f6bbfcc48497fd71601b5a

Observation f0b18a93-176f-4436-a3e2-b89e34be9e18 · outbound

This paper cites Fully homomorphic encryption using ideal lattices.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Fully homomorphic encryption using ideal lattices

Reference 17

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source=arxiv_source observed=2026-08-04T10:25:21.128565Z digest=sha256:b3f8db7767125d84ddf45d800f6d6bdaff4179a0f0fc66624f3599e6ae54a5c4

Observation 231b901d-04f1-4c41-9304-0006b39d71a3 · outbound

This paper cites Principal components bias in over-parameterized linear models, and its manifestation in deep neural networks.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Principal components bias in over-parameterized linear models, and its manifestation in deep neural networks

Reference 18

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source=arxiv_source observed=2026-08-04T10:25:21.190070Z digest=sha256:3b1fb94896df9bb3fab6dd043f3ab128fcb9a596459c9ff410ec0d54a87ee56c

Observation 9c0d9478-b609-45cc-9211-1be4543ae0c7 · outbound

This paper cites MambaVision: A Hybrid Mamba-Transformer Vision Backbone.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization MambaVision: A Hybrid Mamba-Transformer Vision Backbone

Reference 19

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source=arxiv_source observed=2026-08-04T10:25:21.283059Z digest=sha256:9f286a2ccbe8a3c9f70b2f3be6ad52ab4683c38cce38813171e1fd29675b46fa

Observation b1a1e294-662d-4d93-be92-ad6ab3334f2f · outbound

This paper cites Deep residual learning for image recognition.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Deep residual learning for image recognition

Reference 20

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source=arxiv_source observed=2026-08-04T10:25:21.369610Z digest=sha256:322e0f67617ea7b183e0ea7a86243210e1509348c6dac7e1fb1d3f7bf9707636

Observation 1f834c96-3c35-4c1e-810a-4e0ec50dfbe8 · outbound

This paper cites This artist is dominating ai-generated art, and he’s not happy about it, 2022.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization This artist is dominating ai-generated art, and he’s not happy about it, 2022

Reference 21

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source=arxiv_source observed=2026-08-04T10:25:21.424151Z digest=sha256:4b60a94f0913d491e967244c77ab20bac555b58332d63b55ddb938c4731ecc33

Observation 5eaa2ab1-b61a-4bea-94bc-3a95352a6e05 · outbound

This paper cites Diffprivlib: The IBM Differential Privacy Library.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Diffprivlib: The IBM Differential Privacy Library

Reference 22

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source=arxiv_source observed=2026-08-04T10:25:21.504303Z digest=sha256:bf1ff33311cc37b659a2eaaca63f7633d2b314e17f2633e7b491ae110110e431

Observation 08ad4412-d4ff-42b1-948a-fa41d8fc8497 · outbound

This paper cites Toward robust non-transferable learning: A survey and benchmark.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Toward robust non-transferable learning: A survey and benchmark

Reference 23

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doi, observed 2026-08-04T10:28:35.057519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-04T10:25:21.565430Z digest=sha256:fc8140675a161884965dbc3ec68ebbf18ac1284a1c842ce9f11ebab3cf64e948

Observation 85b1554e-f241-480b-b5ac-93e7c1bc9223 · outbound

This paper cites Image quality metrics: Psnr vs.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Image quality metrics: Psnr vs

Reference 24

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source=arxiv_source observed=2026-08-04T10:25:21.657352Z digest=sha256:a1619f2f456fcf0c5841ee2c7d176057a72d25a98316bb8483ab766f3c42d056

Observation 17d494df-9d03-45f4-8189-27e287e3b801 · outbound

This paper cites Training certifiably robust neural networks with efficient local lipschitz bounds.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Training certifiably robust neural networks with efficient local lipschitz bounds

Reference 25

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source=arxiv_source observed=2026-08-04T10:25:21.729977Z digest=sha256:7e12ddccf47c4f297291f4a1bf1f84bae19cc7d2c6569024a3cb2af0b81f6b1b

Observation 85e9eb76-eec0-48ce-9af6-c7a475d62ea0 · outbound

This paper cites Multi-scale residual network for image super-resolution.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Multi-scale residual network for image super-resolution

Reference 26

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source=arxiv_source observed=2026-08-04T10:25:21.781458Z digest=sha256:4a75f64229141c32c33d8ce21153fe8baa6a3e6b4d31640b924263c433b2aa8a

Observation 72a3d103-ccd2-424d-9e97-30ec6df26236 · outbound

This paper cites You can use but cannot recognize: Preserving visual privacy in deep neural networks.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization You can use but cannot recognize: Preserving visual privacy in deep neural networks

Reference 27

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source=arxiv_source observed=2026-08-04T10:25:21.832728Z digest=sha256:e289602c5dfb3179951171b077892a051d837a8df1084ce6c6023dc9bd5bf2c9

Observation ad2c119c-684c-4272-a8e8-fb3e121549c1 · outbound

This paper cites Being transparent is merely the beginning: Enforcing purpose limitation with polynomial approximation.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Being transparent is merely the beginning: Enforcing purpose limitation with polynomial approximation

Reference 28

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source=arxiv_source observed=2026-08-04T10:25:21.906954Z digest=sha256:06bc1332d9d4b14d2694bac2bd9faedc729c95878669d122408329abfa5c3b63

Observation 4b33fc1d-bbf0-4f58-9e72-2cc3364a25d5 · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization MMBench: Is Your Multi-modal Model an All-around Player?

Reference 29

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source=arxiv_source observed=2026-08-04T10:25:21.988348Z digest=sha256:090d4cb914393ef220798c672d1dcb32f6142bdffdca94fd0862f79bbc6f87d5

Observation 6c5fa316-debb-4218-8e21-5e7b526b54c3 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Swin transformer: Hierarchical vision transformer using shifted windows

Reference 30

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source=arxiv_source observed=2026-08-04T10:25:22.041291Z digest=sha256:55cab0fd05a04e56aed5bf7ea59d381acc251f87af176330412e37003821387a

Observation cb0cad0b-28b6-4621-afca-70571098b2c2 · outbound

This paper cites Chamikara, Mohan Baruwal Chhetri, and Guangdong Bai.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Chamikara, Mohan Baruwal Chhetri, and Guangdong Bai

Reference 31

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source=arxiv_source observed=2026-08-04T10:25:22.131728Z digest=sha256:2448337e37b9df68202652fb584c1f96e6a6329f27965885c984085a3f672f2b

Observation b810f8ae-ccf4-44e8-81a7-0684f2c99170 · outbound

This paper cites Relu hull approximation.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Relu hull approximation

Reference 32

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verified exact
doi, observed 2026-08-04T10:28:34.951478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-04T10:25:22.193817Z digest=sha256:fe4a6295b7a8e77fff930493b0cd52607a56ad3bb4c044a474f5d7374df72a39

Observation 557d5983-919d-4f82-9e5d-f6705e9f89ef · outbound

This paper cites Convex hull approximation for activation functions.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Convex hull approximation for activation functions

Reference 33

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source=arxiv_source observed=2026-08-04T10:25:22.246449Z digest=sha256:97a85ccf6c89cefc2a3b940cdaac980aeef3fd66c7a16d8d918cad1e878068db

Observation 2ecdf1e3-aa6e-4177-a606-a7ca6baf1d7e · outbound

This paper cites Doren: Toward efficient deep convolutional neural networks with fully homomorphic encryption.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Doren: Toward efficient deep convolutional neural networks with fully homomorphic encryption

Reference 34

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source=arxiv_source observed=2026-08-04T10:25:22.333370Z digest=sha256:6a0c58e40e14e083f997ecb8cd04e2c94c52ba07e7349e352b8592d0f0ae3b0b

Observation f5a3ece8-179e-4b26-9761-c68502fd85d0 · outbound

This paper cites Sensitivity and Generalization in Neural Networks: an Empirical Study.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Sensitivity and Generalization in Neural Networks: an Empirical Study

Reference 35

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source=arxiv_source observed=2026-08-04T10:25:22.399679Z digest=sha256:e29e42acd7d9565d55a745b064af60b65c459733f4bd2856c367e9dd97352455

Observation 8c325892-b3e7-4b95-8a64-e85dfec39b16 · outbound

This paper cites A probabilistic approach to neural network pruning.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization A probabilistic approach to neural network pruning

Reference 36

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source=arxiv_source observed=2026-08-04T10:25:22.467103Z digest=sha256:7ece3b2819cf21dd3a33cb54f27dc84677bc7dee5ff1bf4afde2ad3b433a9f5e

Observation 5accaac7-c131-4478-9826-c2d3987ef85e · outbound

This paper cites Mlaas: Machine learning as a service.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Mlaas: Machine learning as a service

Reference 37

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source=arxiv_source observed=2026-08-04T10:25:22.544055Z digest=sha256:13c6208d665efe607d56cb7f0f6f54cac39f08d7dd3048320ecb86f37592fb60

Observation 6264e0e9-0989-4fa0-9898-afc255d04ed6 · outbound

This paper cites An empirical study of the naive bayes classifier.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization An empirical study of the naive bayes classifier

Reference 38

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source=arxiv_source observed=2026-08-04T10:25:22.614304Z digest=sha256:23f5e3fb73c03c688a690c856e0d69616e3319d403a952f63c99ab78b867cd47

Observation 7713d92a-ddc3-43ab-809b-e79a82117dcc · outbound

This paper cites Membership inference attacks against machine learning models.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Membership inference attacks against machine learning models

Reference 39

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source=arxiv_source observed=2026-08-04T10:25:22.676103Z digest=sha256:3d68944850f2c7775a96096f004ea28008c8688b7cb0b07a43da12a7790f3936

Observation 7303044d-e603-4ba5-b981-a8608a21bb2f · outbound

This paper cites Generative ai and copyright infringement.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Generative ai and copyright infringement

Reference 40

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source=arxiv_source observed=2026-08-04T10:25:22.761141Z digest=sha256:cd44ed22afe6a2488d992468c2d0d3b2f0b5c1212a2921f742b10c0896a1a0a3

Observation 80e2b2ce-97d4-4a44-91f7-945a0a537180 · outbound

This paper cites Anthropic agrees to pay \ 1.5 billion to settle author class action over AI training.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Anthropic agrees to pay \ 1.5 billion to settle author class action over AI training

Reference 41

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source=arxiv_source observed=2026-08-04T10:25:22.822851Z digest=sha256:eb2302c9b9df6cc533d251756c1d90f752b5a3bdd9a46645ea33909c46a7a118

Observation 0943c6b2-e2be-4c5d-89a4-dbe99e0a1baf · outbound

This paper cites Artists Score Major Win in Copyright Case Against AI Art Generators.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Artists Score Major Win in Copyright Case Against AI Art Generators

Reference 42

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source=arxiv_source observed=2026-08-04T10:25:22.904410Z digest=sha256:ec67e4cc1d6c1120983668784e5d211d970ef6c099aee5069553ef4af1b83b74

Observation 79a03ee9-c365-4066-85bb-77a78a3ad991 · outbound

This paper cites America's ai action plan.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization America's ai action plan

Reference 43

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source=arxiv_source observed=2026-08-04T10:25:23.006931Z digest=sha256:d03e96cc0a7a92aeced30d533f9b5cbffe9d2d8a770611d7cbffbc6138a015d1

Observation 6306feb0-51f8-4c5e-8f12-ae01e77974df · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Training data-efficient image transformers & distillation through attention

Reference 44

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source=arxiv_source observed=2026-08-04T10:25:23.092301Z digest=sha256:998b2fca858b07bdfc755119c7b880a31ab93d58bd23f545382e5a1911d93998

Observation 7bb8daaa-bec4-4b53-8bb5-fe29200c617a · outbound

This paper cites Stealing machine learning models via prediction APIs.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Stealing machine learning models via prediction APIs

Reference 45

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source=arxiv_source observed=2026-08-04T10:25:23.171680Z digest=sha256:3ac4384dfe7a9c5ae23a24bfb816ef23b582e63b613d70c4ead1fcaf7bb19099

Observation 81ca5f44-9add-45bb-a78f-1e4c2564d51d · outbound

This paper cites Vedaldi and K.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Vedaldi and K

Reference 46

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source=arxiv_source observed=2026-08-04T10:25:23.246797Z digest=sha256:d838f53a98e9388a911f52d4a1df3b2f5a1e3307004531f06e7856b686c73476

Observation 937a40bb-4644-4650-ba58-5bd626f1ff52 · outbound

This paper cites High-dimensional probability: An introduction with applications in data science, volume 47.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization High-dimensional probability: An introduction with applications in data science, volume 47

Reference 47

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source=arxiv_source observed=2026-08-04T10:25:23.285464Z digest=sha256:6965ff7e361403ce5982a62a31d8cef1ed20877dc4edb4f830496a905e7219d1

Observation fe8ad70c-5bac-4ec0-b75b-ff51a819fd23 · outbound

This paper cites Provably unlearnable data examples.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Provably unlearnable data examples

Reference 48

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source=arxiv_source observed=2026-08-04T10:25:23.363500Z digest=sha256:639f216d36d74d3ebac81f7bb2e899ed5e7c528fa5b28f19e6ed91b33c4c68eb

Observation 5cd5aed9-4489-4549-8bfe-3d51cfb1b75f · outbound

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

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Non-transferable learning: A new approach for model ownership verification and applicability authorization

Reference 49

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source=arxiv_source observed=2026-08-04T10:25:23.466900Z digest=sha256:9aa4f50c7436c5008dd7e78a27e416cf9d400af2bcb08b0ec5ae94669d44197e

Observation dca4d3d3-57ab-46e8-b4a7-1b1becb6570e · outbound

This paper cites Corelocker: Neuron-level usage control.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Corelocker: Neuron-level usage control

Reference 50

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source=arxiv_source observed=2026-08-04T10:25:23.542922Z digest=sha256:a97d7e6695f6c06b64aded07d1516f11796c6e6fcebef8b8ee7d31ed425319b1

Observation 5a09fc96-5c44-491a-b1c1-47871c778577 · outbound

This paper cites Ai model modulation with logits redistribution.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Ai model modulation with logits redistribution

Reference 51

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source=arxiv_source observed=2026-08-04T10:25:23.622537Z digest=sha256:ea5c0b4b34b39af79d70d4ad7b6e7c50a0c62a12c16dcacd7f1b8e6c6097624d

Observation ba58e508-e763-44d5-bd84-f49fffaf0b29 · outbound

This paper cites Exploring chatgpt app ecosystem: Distribution, deployment and security.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Exploring chatgpt app ecosystem: Distribution, deployment and security

Reference 52

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source=arxiv_source observed=2026-08-04T10:25:23.700514Z digest=sha256:1fbd4c1e0b012402d23c1727eab317ca578c828bd03005618728c3892fb818d0

Observation c41fe022-5f59-4e2c-adac-7ea4dc445777 · outbound

This paper cites Ungeneralizable examples.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Ungeneralizable examples

Reference 53

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source=arxiv_source observed=2026-08-04T10:25:23.775282Z digest=sha256:c7e79aa7154be9c2e5eebc321c90d9ec7b73db0bec38182e79b84ca72e2035ac

Observation e9f5a1cf-376a-466c-88e6-f4ebd681d493 · outbound

This paper cites Defense against adversarial attacks using spectral regularization.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Defense against adversarial attacks using spectral regularization

Reference 54

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source=arxiv_source observed=2026-08-04T10:25:23.838496Z digest=sha256:a06704abbccd7d328661388c40f4db2d56e5fc8309b81976da8ab87a160f5df4

Observation 49c2fe1f-1c03-4bab-a3c2-19fea8439dce · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 55

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source=arxiv_source observed=2026-08-04T10:25:23.878082Z digest=sha256:4df4a2ab6900f2c863f9021c59574f3cd02e9cff5d67630291789b8514764413

Observation 8a7ad252-7d84-4642-b96a-9526854dde50 · outbound

This paper cites @esa (Ref.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization @esa (Ref

Reference 56

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source=arxiv_source observed=2026-08-04T10:25:23.947650Z digest=sha256:38b83303624ebe8500f593399b1df7f5fe7212eb3ea3ad37f3e452002dc85c8c

Observation 340b9236-1836-4628-9a6d-6b0a946da9d9 · outbound

This paper cites an unresolved cited work.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization Unresolved cited work

Reference 57

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source=arxiv_source observed=2026-08-04T10:25:24.025418Z digest=sha256:44f587f6b17d6afa890ba3d7077e2a3c7301bbe0ad421f727091e6b5bccbb7f4

Observation cc2d168d-76f4-401d-8387-f10bbe1b1154 · outbound

This paper cites `H " XS]v ܁ .5z .Hr U /Q A , YPY^ g؋la8kbM] , < Ĝ` ( z &> oFuA ^+u /x ˎ\ cN ] ьG f jF 8n 3營` | c TRMWDvn΄ˋ 4:C knL2PD> ht xir6P?ҹz y 8JE>9ZĪD ;xȚ t nURKgjR̥? .2?W 'C-, u VB6 E.

Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization `H " XS]v ܁ .5z .Hr U /Q A , YPY^ g؋la8kbM] , < Ĝ` ( z &> oFuA ^+u /x ˎ\ cN ] ьG f jF 8n 3營` | c TRMWDvn΄ˋ 4:C knL2PD> ht xir6P?ҹz y 8JE>9ZĪD ;xȚ t nURKgjR̥? .2?W 'C-, u VB6 E

Reference 58

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source=arxiv_source observed=2026-08-04T10:25:24.083539Z digest=sha256:f3eb6f27598554cb3583a6a5707c6b33bbdf6dc97075b7b1869e836093154f62

Pith citing papers

Observation a5bacd3f-0b2c-42b2-8cb8-18ceaa9b1197 · inbound

Re-Key-Free, Risky-Free: Adaptable Model Usage Control cites this paper.

Re-Key-Free, Risky-Free: Adaptable Model Usage Control Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Reference 5

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verified exact
arxiv_id, observed 2026-06-02T02:03:33.784699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-17T06:55:42.415980Z digest=sha256:2529c4289a069951f3e6fbf26addd0e7967bfcef7bb628c107f2055571d346ee

Observation 2b96538a-0fe0-4870-80ec-076cb18a5631 · inbound

Variational Feature Compression for Model-Specific Representations cites this paper.

Variational Feature Compression for Model-Specific Representations Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Reference 32

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arxiv_id, observed 2026-06-02T02:03:33.784699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T18:38:03.604130Z digest=sha256:488d6499372e505b61b100d98643a1c6b4e6098d5aff41eae49d405990aaf0b9

Observation 8763decb-1196-430b-bdaf-f0edf19d7d47 · inbound

Caliber: Cross-Architecture Extraction-Cost Control for Score-Returning APIs cites this paper.

Caliber: Cross-Architecture Extraction-Cost Control for Score-Returning APIs Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Reference 44

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source=pdf_text observed=2026-08-15T15:20:31.569023Z digest=sha256:fb4ff06e8b15155cda6362a1c86724164ea1dee3eabddc75ea5fa97e612f9739