Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:34:49.798562Z
Paper Citation Record · LEDGER
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era
As of 12 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2608.06211.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact0
- verified fuzzy57
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cd3781ca-5bb8-41bc-b827-2be6ee808b1b · outbound
This paper cites Prest-net: Multi-domain probability estimation network for robust image forgery detection,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Prest-net: Multi-domain probability estimation network for robust image forgery detection,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:59.873091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81abd60b-d9b5-495b-9a73-58fbc8fc6ad4 · outbound
This paper cites A recent survey on image watermarking using scaling factor techniques for copyright protection,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A recent survey on image watermarking using scaling factor techniques for copyright protection,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:59.718579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 65ca520a-ddde-4d48-ac9c-d919efc20054 · outbound
This paper cites Client-side embedding of screen-shooting resilient image watermarking,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Client-side embedding of screen-shooting resilient image watermarking,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:59.534441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8c093995-4ed7-443c-a6a0-8c3a18415113 · outbound
This paper cites Robust reversible watermarking in encrypted image with secure multi-party based on lightweight cryptography,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust reversible watermarking in encrypted image with secure multi-party based on lightweight cryptography,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:59.354363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4c253c82-43a5-4ca8-9c21-75a8acfff849 · outbound
This paper cites Truncated robust natural watermarking with hungarian optimization,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Truncated robust natural watermarking with hungarian optimization,
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:59.186996Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d02c9ae5-5af3-43aa-904b-4058e21f34e0 · outbound
This paper cites Independent embedding domain based two- stage robust reversible watermarking,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Independent embedding domain based two- stage robust reversible watermarking,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:59.004173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 34734f7e-0b44-4079-baed-5a9a539665cf · outbound
This paper cites A highly robust reversible watermarking scheme using embedding optimization and rounded error compensation,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A highly robust reversible watermarking scheme using embedding optimization and rounded error compensation,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:58.849517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 47f46897-71b1-42ce-8250-96135aea4cda · outbound
This paper cites Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg compres- sion,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Mbrs: Enhancing robustness of dnn- based watermarking by mini-batch of real and simulated jpeg compres- sion,
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:58.608866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4eb7dcb1-9c27-43f9-8319-7b8eab7662d0 · outbound
This paper cites Hidden: Hiding data with deep networks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Hidden: Hiding data with deep networks,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:58.288870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 40847137-7c36-4cdb-88a8-4ecb08baf9a8 · outbound
This paper cites Copy, right? a testing framework for copyright protection of deep learning models,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Copy, right? a testing framework for copyright protection of deep learning models,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:57.914016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cb440192-3ea4-4bd9-8f83-a9f08e18682e · outbound
This paper cites Modellock: Locking your model with a spell,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Modellock: Locking your model with a spell,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:57.667927Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e7073778-214c-468a-956d-acbbada93579 · outbound
This paper cites The secretive company that might end privacy as we know it,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The secretive company that might end privacy as we know it,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:57.388889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 587d202e-1824-4cca-9f16-7d47ff2fdbf8 · outbound
This paper cites Adversarial privacy-preserving filter,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Adversarial privacy-preserving filter,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:57.079963Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7abba904-7042-4bca-9aea-15ed0a262a9e · outbound
This paper cites Adversarial examples make strong poisons,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Adversarial examples make strong poisons,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:56.820815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5425a8f1-c177-4dee-bee6-f5ae78286811 · outbound
This paper cites Autoregressive perturbations for data poisoning,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Autoregressive perturbations for data poisoning,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:56.646410Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1a73952c-6f15-43c6-989f-b55f110160ad · outbound
This paper cites Availability attacks create shortcuts,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Availability attacks create shortcuts,
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:34:45.668361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 490cf4a2-5090-40ab-91d9-dbda705f9552 · outbound
This paper cites Learnability lock: Authorized learnability con- trol through adversarial invertible transformations,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Learnability lock: Authorized learnability con- trol through adversarial invertible transformations,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:56.468377Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8863c943-e8c0-4cda-aaa1-cc4b26922e8c · outbound
This paper cites Preventing unauthorized use of proprietary data: Poisoning for secure dataset release,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Preventing unauthorized use of proprietary data: Poisoning for secure dataset release,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:56.322952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0a36945b-4400-4252-a1fb-a1c55d2d4bd3 · outbound
This paper cites Robust unlearnable examples: Protecting data against adversarial learning,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust unlearnable examples: Protecting data against adversarial learning,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:56.133080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2f2ce029-ac72-4515-afc3-8f4ba9b42d07 · outbound
This paper cites Unlearnable examples: Making personal data unexploitable,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Unlearnable examples: Making personal data unexploitable,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:55.989658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3f6478c6-545b-4e1c-aa46-fdbe24969001 · outbound
This paper cites Unlearnable clusters: Towards label-agnostic unlearnable examples,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Unlearnable clusters: Towards label-agnostic unlearnable examples,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:55.843013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 53c82e8e-e4b4-46f4-bc31-5d8e6a69c279 · outbound
This paper cites Guided erasable adversarial attack (geaa) toward shared data protection,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Guided erasable adversarial attack (geaa) toward shared data protection,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:55.642741Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c3dd0d38-76fc-4c5f-ba2b-4b418743177c · outbound
This paper cites Adv-watermark: A novel watermark perturbation for adversarial examples,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Adv-watermark: A novel watermark perturbation for adversarial examples,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:55.479253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bee63a6e-0cb7-4d4e-8ec9-206f199efa67 · outbound
This paper cites A self- supervised cnn for image watermark removal,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A self- supervised cnn for image watermark removal,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:55.226065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 195f3dc9-e4e2-4721-bd9c-3687a1e53093 · outbound
This paper cites Poisoning attacks against support vector machines,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Poisoning attacks against support vector machines,
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:55.035017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 82015c43-7414-452b-88dc-bfd0635a6e16 · outbound
This paper cites Towards poisoning of deep learning algorithms with back-gradient optimization,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Towards poisoning of deep learning algorithms with back-gradient optimization,
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.879499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 358a6507-8c84-4a8b-abfc-04a13382074d · outbound
This paper cites Metapoison: Practical general-purpose clean-label data poisoning,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Metapoison: Practical general-purpose clean-label data poisoning,
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.729983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b759dada-f642-4def-9491-46ee791e7f1f · outbound
This paper cites Witches’ brew: Industrial scale data poisoning via gradient matching,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Witches’ brew: Industrial scale data poisoning via gradient matching,
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.552972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e89b3cca-b6f4-4438-8c94-eada3e6d1208 · outbound
This paper cites Neural tangent generalization attacks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Neural tangent generalization attacks,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.410170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9ed9dd1b-4d80-4a5d-b7ce-54786410631d · outbound
This paper cites Transferable unlearnable examples,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Transferable unlearnable examples,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.295526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 1ed37c52-d227-48ab-9e2c-df90057238ce · outbound
This paper cites Unseg: One universal unlearnable example generator is enough against all image segmentation,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Unseg: One universal unlearnable example generator is enough against all image segmentation,
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.184327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d8193406-971a-4a2b-9c0f-6db48481f9d8 · outbound
This paper cites Red- mark: Framework for residual diffusion watermarking based on deep networks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Red- mark: Framework for residual diffusion watermarking based on deep networks,
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:54.044865Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e0b63479-327e-42e5-99aa-47cda2f0ea53 · outbound
This paper cites A novel two-stage separable deep learning framework for practical blind watermarking,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era A novel two-stage separable deep learning framework for practical blind watermarking,
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.908831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 42e2d04d-fc1a-4902-bad4-c1a06eb49f51 · outbound
This paper cites Stegastamp: Invisible hyperlinks in physical photographs,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Stegastamp: Invisible hyperlinks in physical photographs,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.781234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 65737f69-9dc4-4cc4-8e99-6db5bb7d7ba7 · outbound
This paper cites Robust high- capacity watermarking over online social network shared images,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust high- capacity watermarking over online social network shared images,
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.654029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0228309a-d303-49f4-9610-accb590d03ca · outbound
This paper cites Waverecovery: Screen- shooting watermarking based on wavelet and recovery,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Waverecovery: Screen- shooting watermarking based on wavelet and recovery,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.517766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 23176b5d-48c0-482c-971e-d0f761ce414a · outbound
This paper cites Screen-shooting resistant watermarking with grayscale deviation simulation,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Screen-shooting resistant watermarking with grayscale deviation simulation,
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.303000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b2ef8ff6-6888-4f52-88e6-942fd842deba · outbound
This paper cites The unreasonable effectiveness of deep features as a perceptual metric,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The unreasonable effectiveness of deep features as a perceptual metric,
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:34:47.714348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3b1c6e56-cc7b-4d3a-ad14-6ca57918c453 · outbound
This paper cites The jpeg still picture compression standard,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The jpeg still picture compression standard,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.159407Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bb175507-6e26-4898-bf20-eebd1bb9755a · outbound
This paper cites Squeeze-and-excitation networks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Squeeze-and-excitation networks,
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:53.029592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b98daa39-6291-4ebf-89db-efbb2c951e60 · outbound
This paper cites Explaining and harnessing adversarial examples,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Explaining and harnessing adversarial examples,
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:52.864778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5172429a-9048-4a00-9273-dbe56f9be658 · outbound
This paper cites Deepfool: a simple and accurate method to fool deep neural networks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Deepfool: a simple and accurate method to fool deep neural networks,
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:52.719047Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0f70d3db-1753-4cb6-af5a-cc2d075d5176 · outbound
This paper cites The robustness of deep networks: A geometrical perspective,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era The robustness of deep networks: A geometrical perspective,
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:52.562980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation be601e58-beee-4bcf-a873-0afdf3513cd6 · outbound
This paper cites Delving into transferable adversarial examples and black-box attacks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Delving into transferable adversarial examples and black-box attacks,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:52.423508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 76110134-b12d-4207-a7ac-8c0839fe0a3d · outbound
This paper cites Revisiting model stitching to compare neural representations,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Revisiting model stitching to compare neural representations,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:52.242637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b9b1e717-8d44-4048-8a34-3cc3caec4ff4 · outbound
This paper cites Grounding representation similarity with statistical testing,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Grounding representation similarity with statistical testing,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:52.108926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f8cf000a-48a3-4bca-b2a3-80a19d278ab0 · outbound
This paper cites Similarity of neural network representations revisited,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Similarity of neural network representations revisited,
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.944243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d0c65a4a-5048-4e44-93d2-e723c9b37b6c · outbound
This paper cites Insights on representational similarity in neural networks with canonical correlation,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Insights on representational similarity in neural networks with canonical correlation,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.806560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 920b39af-58f0-4ae2-925f-1baa2e7772f0 · outbound
This paper cites Do wide and deep networks learn the same things? uncovering how neural network representations vary with width and depth,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Do wide and deep networks learn the same things? uncovering how neural network representations vary with width and depth,
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.654433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e59f73a4-3e7c-45ec-9319-c35d1e85adbd · outbound
This paper cites Maximum-entropy adver- sarial data augmentation for improved generalization and robustness,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Maximum-entropy adver- sarial data augmentation for improved generalization and robustness,
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.508431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b2a0856f-02d9-4997-9c07-c0fd006ae27f · outbound
This paper cites Ima- genet: A large-scale hierarchical image database,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Ima- genet: A large-scale hierarchical image database,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.352599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4ad3f1de-db3b-41a4-bc3a-2736130b6d5b · outbound
This paper cites Cifar-10 image classification with con- volutional neural networks for embedded systems,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Cifar-10 image classification with con- volutional neural networks for embedded systems,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.186801Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 17f8cdef-bee4-40e9-9717-3a98bb8bff2d · outbound
This paper cites Cats and dogs,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Cats and dogs,
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:51.023758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4596cc81-7a2d-424b-9606-40171ca51529 · outbound
This paper cites Deep residual learning for image recognition,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Deep residual learning for image recognition,
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:34:49.183490Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa7b81e0-3ba1-4505-9efc-7d61b16e04ce · outbound
This paper cites Very deep convolutional networks for large-scale image recognition,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Very deep convolutional networks for large-scale image recognition,
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:50.815603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5655e1e0-4473-4523-bb8d-1a2333a78cf8 · outbound
This paper cites Mo- bilenetv2: Inverted residuals and linear bottlenecks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Mo- bilenetv2: Inverted residuals and linear bottlenecks,
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:50.621043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 046ccd18-4b20-4899-bb41-1a96fc229cf1 · outbound
This paper cites Going deeper with convolutions,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Going deeper with convolutions,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:50.450913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 62e72d69-39a1-441c-b11b-1b6c3fe41836 · outbound
This paper cites Densely connected convolutional networks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Densely connected convolutional networks,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:50.296685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 45f98470-2b3d-47d6-9f2d-29279b4d12c8 · outbound
This paper cites Robust image forgery detection against transmission over online social networks,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Robust image forgery detection against transmission over online social networks,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:50.157654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b907b1ea-677a-40f7-89c4-d72fc6ed1405 · outbound
This paper cites Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:34:49.733556Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c1ae01a-57a5-4609-8446-8a18fe1ab281 · outbound
This paper cites Dual defense: Adversarial, traceable, and invisible robust watermarking against face swapping,.
Reversible Unlearnable Examples: Towards the Copyright Protection in Deep Learning Era Dual defense: Adversarial, traceable, and invisible robust watermarking against face swapping,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T12:34:50.025817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Pith citing papers
No inbound Pith citation observations are available.