{"as_of":"2026-08-10T12:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:66123cedf407dbd96fb113a150edb563f9358c5485fe10d640a5979b767ea281","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T04:46:59.177308Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.03091/citation-record","integrity":"/paper/2508.03091/integrity","json":"/paper/2508.03091/citation-record.json","paper":"/paper/2508.03091"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.067306Z","title":"Large image datasets: A pyrrhic win for computer vision? In WACV, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.067306Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:c018c9dd84671156adf51c36dc84039e719ca1eb0d7edd1a77167dc84146c49d","observation_id":"ddba38b7-9dee-41c9-9d1a-c424728250f4","resolution":{"observed_at":"2026-08-06T04:46:59.067306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1504.00325","last_updated":"2015-04-03T20:21:16Z","snapshot_observed_at":"2026-08-04T18:05:27.145522Z","submitted_at":"2015-04-01T18:13:43Z","title":"Microsoft COCO Captions: Data Collection and Evaluation Server","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1504.00325","snapshot_observed_at":"2026-08-06T04:46:59.069582Z","title":"Microsoft coco captions: Data collection and evaluation server.arXiv preprint arXiv:1504.00325, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.069582Z"},"links":{"cited_paper":"/paper/1504.00325","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:2ac106b812694c7b0828f27515c9b6b18699f81fa344c7a275717a7f93df5541","observation_id":"2ed96b91-ddab-4159-9191-dda38d3ba10b","resolution":{"observed_at":"2026-08-06T04:46:59.069582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.591326Z","title":"An analysis of single-layer networks in unsuper- vised feature learning","venue":null,"work_id":"b262680e-72b1-4c76-a898-370e4663f622","year":2011},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.072106Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:c6172819ce8686be0722040693a340f4df711d9fcc269f7eb1e31368bede97e2","observation_id":"8e265c46-3620-48a8-b521-27a94a5716c2","resolution":{"observed_at":"2026-08-06T04:46:59.593775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.585394Z","title":"Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, and Quoc V","venue":null,"work_id":"1825e00b-5fd0-4931-b73b-df7a8f0aac15","year":2019},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.074585Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:9080d280d27373b41cf3ac58230c6fb6a3e8cfdf04e0d81fca113d0d6ce2680c","observation_id":"12223850-2787-4e88-8562-4cd2701efa02","resolution":{"observed_at":"2026-08-06T04:46:59.587474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.04552","last_updated":"2017-11-29T14:51:40Z","snapshot_observed_at":"2026-08-10T10:31:15.628197Z","submitted_at":"2017-08-15T15:21:53Z","title":"Improved Regularization of Convolutional Neural Networks with Cutout","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.04552","snapshot_observed_at":"2026-08-06T04:46:59.077062Z","title":"Improved regularization of convolutional neural networks with cutout","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.077062Z"},"links":{"cited_paper":"/paper/1708.04552","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:604be80318a9da3fd1d6c6f591899fe3b3dc37b0f175b1f042fecf9b3ed72c08","observation_id":"30fb5435-0ca9-4587-bf0d-767a3263454c","resolution":{"observed_at":"2026-08-06T04:46:59.077062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.079233Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.079233Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:88afe36e2d0c04d1892138d87fac1f7095e959c6738d4fff446c12f1f74fb78f","observation_id":"46bdd377-ac32-4cc5-bc20-8f69ea2725fa","resolution":{"observed_at":"2026-08-06T04:46:59.079233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.575233Z","title":"Adversarial examples make strong poisons","venue":null,"work_id":"f0d97b65-51a2-4d07-abb1-13178de2a421","year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.081576Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:86e0179b8ba42971730385346094b012acc9d787b0436c0a53bcfbb671750f34","observation_id":"e641cad1-1c6f-4509-9b87-9e48815bf769","resolution":{"observed_at":"2026-08-06T04:46:59.577417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.569319Z","title":"Robust unlearnable exam- ples: Protecting data against adversarial learning","venue":null,"work_id":"2de0bee5-4e35-488c-aa3d-fa2ab5243eaf","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.083370Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:97aed78d6f88b1bb9ad1b484d1b15caddb9d90e189c9bd59a2a59dc863224b64","observation_id":"2e60ec41-8a99-4ae1-8148-3e227eda6874","resolution":{"observed_at":"2026-08-06T04:46:59.571543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.562681Z","title":"Datacomp: In search of the next generation of multimodal datasets","venue":null,"work_id":"e4150da8-4bf4-4464-a077-a98226538935","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.085666Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:aeaae55d4f408a5743b4146bfb49c56ccca99ef10376a516afee28d41835f056","observation_id":"913b923a-3447-4926-892b-036b70b138cf","resolution":{"observed_at":"2026-08-06T04:46:59.564772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.08862","last_updated":"2025-01-15T15:22:57Z","snapshot_observed_at":"2026-08-07T20:56:59.962631Z","submitted_at":"2025-01-15T15:22:57Z","title":"ARMOR: Shielding Unlearnable Examples against Data Augmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.08862","snapshot_observed_at":"2026-08-06T04:46:59.087462Z","title":"Armor: Shielding unlearnable examples against data augmentation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.087462Z"},"links":{"cited_paper":"/paper/2501.08862","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:eb39ca0f8174d674bd4d3a2219afc59398bcb67074b9494f13e8d52794a06645","observation_id":"a2f30960-d311-457e-97e2-8dcd1286bc8a","resolution":{"observed_at":"2026-08-06T04:46:59.087462Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.556055Z","title":"Medgan: An adaptive gan approach for medical image generation","venue":null,"work_id":"35ac94d4-2fba-4676-976f-962ee8b6aafa","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.090378Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:433db2e7db72fd4b80a958a33eef6a562816544ece643109b6653e725278ae7e","observation_id":"8b6f28c6-d195-4ad0-af41-b9e8be93d262","resolution":{"observed_at":"2026-08-06T04:46:59.558489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.549276Z","title":"Indiscriminate poisoning attacks on unsupervised contrastive learning","venue":null,"work_id":"dbb72b56-d9a4-4d96-8473-192035b8bb50","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.092501Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:62a244ad7f43288a189b886400ffb6a28c282c852d77df2af5b11ec68da32c13","observation_id":"9ed92911-faf5-4fae-82e6-ac6e8a08d454","resolution":{"observed_at":"2026-08-06T04:46:59.551642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.094679Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.094679Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:cefe2d6916145f0b7f0694d1fb647e7d0a07792963e5d0016cd4291347bc0e50","observation_id":"8426dc71-04c7-43cb-87f8-491c0668138d","resolution":{"observed_at":"2026-08-06T04:46:59.094679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.540310Z","title":"The secretive company that might end privacy as we know it","venue":null,"work_id":"458ca76d-860a-425f-acdd-b1ee61449e8f","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.096626Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:a73a7168dafed602dac0e3bd575993c55f1f9e998b770a2bde84e9a10be0a970","observation_id":"1404933e-331b-41b2-ac59-bab604ea74b4","resolution":{"observed_at":"2026-08-06T04:46:59.542311Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.534485Z","title":"Densely con- nected convolutional networks","venue":null,"work_id":"3572d50c-d66f-413d-9303-05fbea796547","year":2017},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.098496Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:94bd56477c12ab2779898e2869b2b2e5c9f1ce7fe849501a05f8c9dfaef47de4","observation_id":"75ca9c25-3d9f-47e3-8d73-2c1ae2ba060a","resolution":{"observed_at":"2026-08-06T04:46:59.536685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.527683Z","title":"Un- learnable examples: Making personal data unexploitable","venue":null,"work_id":"0895c87a-1f13-4f1e-b167-532de5160dcc","year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.100366Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:8e4dcc28eaee5bcf5507dd3c8ae68dcf268568d939b7ed5be7cad58b7739f770","observation_id":"a72eb959-2e62-4bc7-9b3b-b2679a9e5f09","resolution":{"observed_at":"2026-08-06T04:46:59.529898Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.521328Z","title":"Unlearnable examples: Protecting open-source software from unauthorized neural code learning","venue":null,"work_id":"cf4f45cf-cb1a-4cf3-a31a-68d1a0404b1d","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.102163Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:8fa7fdbd932ca746945de4e44ec0acbab66026ec10dee1d27e882a15b975a616","observation_id":"95687ea8-92a3-442d-8da7-0b39eb12265a","resolution":{"observed_at":"2026-08-06T04:46:59.523669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.514756Z","title":"Scaling up visual and vision-language representation learning with noisy text supervision","venue":null,"work_id":"d5cef8d0-a073-487a-9e17-bfea7760f9f2","year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.104099Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:35f859dd98d37ad9429672c50d5d154d34a31de3f61e0cda8a4a21a2134ae922","observation_id":"2ea659dc-30ee-4ae6-8bbd-7b5aca0edc28","resolution":{"observed_at":"2026-08-06T04:46:59.517134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.508428Z","title":"Unlearnable examples for time series","venue":null,"work_id":"a60e614f-cc2d-460f-88be-e4f67589ae8a","year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.105776Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:acadc78dbe4f6f34d72cb4ec0f6ea718ff0c3c8c70d0f6ac5b2e6866d6e2b07b","observation_id":"57453dcc-0c87-4ffa-b22b-8555215aafcf","resolution":{"observed_at":"2026-08-06T04:46:59.510439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.501883Z","title":"Understanding black-box predictions via influence functions","venue":null,"work_id":"43ee5039-90ed-4aa3-be4e-506b9b4b9d6a","year":2017},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.107881Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:b9f26149fc17b863e66adcdcc57f890b2fa0d6a0efda8943b988c4e9a3f7adb8","observation_id":"67a31f4c-5517-4347-80af-43c9a116a828","resolution":{"observed_at":"2026-08-06T04:46:59.504158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.109818Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.109818Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:4dcca92fddb5c2816c87d9253dc785ad9665a662ba8f3be2b3c18e1dde120730","observation_id":"b0b4358c-62cd-4aa1-8781-9d0c26891c76","resolution":{"observed_at":"2026-08-06T04:46:59.109818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.00567","last_updated":"2022-03-24T11:16:22Z","snapshot_observed_at":"2026-08-08T01:07:23.026748Z","submitted_at":"2021-04-01T15:48:01Z","title":"Text to Image Generation with Semantic-Spatial Aware GAN","version":6},"cited_work":{"arxiv_id":"2104.00567","doi":null,"metadata_source":"pith","pith_arxiv_id":"2104.00567","snapshot_observed_at":"2026-08-06T04:46:59.322538Z","title":"Text to Image Generation with Semantic-Spatial Aware GAN","venue":"cs.CV","work_id":"d51d3edc-4aed-471c-a002-f4e1444b6bae","year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.111463Z"},"links":{"cited_paper":"/paper/2104.00567","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:5d67bfe04413375889c577ccc4fe0f1cc21c950882e27cc2d6474bf89bdf259b","observation_id":"9db3608b-6cdc-429b-97a0-3eaa4877dc5a","resolution":{"observed_at":"2026-08-06T04:46:59.326571Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.490744Z","title":"Text to image generation with semantic-spatial aware gan","venue":null,"work_id":"ced38ea4-b2bd-4ea8-9324-3a0eb2eb3386","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.113537Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:0e785cecdf863c1e24b51c5567e6d1b2d2f4c663c86b892aab9a61f42fb949ba","observation_id":"7e689ae8-5d55-42c0-9a76-244f78c621ec","resolution":{"observed_at":"2026-08-06T04:46:59.493548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.115249Z","title":"Microsoft coco: Common objects in context","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.115249Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:27f9feeb17eb3f5a2bf270d429a491608c95416a612d9ce6ef2b7afe06e742fe","observation_id":"ce429918-7f34-4cf5-8c9b-4f188ca5dbb9","resolution":{"observed_at":"2026-08-06T04:46:59.115249Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.481215Z","title":"Multimodal unlearnable examples: Protecting data against multimodal contrastive learning","venue":null,"work_id":"1dca3288-cb5b-4df2-937a-c4802083d114","year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.117126Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:e354324653c1515ad1dd916a89faf6652e6dee45c604350da7ca620a3770866c","observation_id":"c8717e03-03a5-4980-960c-bcc319ce508f","resolution":{"observed_at":"2026-08-06T04:46:59.483369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.475433Z","title":"Stable unlearnable example: Enhancing the robustness of unlearnable examples via stable error-minimizing noise","venue":null,"work_id":"3f1f471c-8864-45e1-83ed-fa20ffffa805","year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.118812Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:e9329e6633d95559468f487b19ada822b863597b27202423747411c3de6549a7","observation_id":"e0e125e7-7fd8-450d-880d-01ddaf787ee4","resolution":{"observed_at":"2026-08-06T04:46:59.477501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.468802Z","title":"The data provenance initiative: A large scale audit of dataset licensing & attribution in ai","venue":null,"work_id":"2c4bddc3-cbaa-46aa-9004-b51f57df61c8","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.120502Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:e07537f140e44c0d2ff4ef5aabec50313d13f9e19c2c48fdf441882b1c7ba65c","observation_id":"e5ea46d4-891c-4f95-8066-3ae480680d52","resolution":{"observed_at":"2026-08-06T04:46:59.470998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05206","last_updated":"2026-04-14T16:10:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-02T05:14:22Z","title":"Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05206","snapshot_observed_at":"2026-08-06T04:46:59.122473Z","title":"Safety at scale: A comprehensive survey of large model safety","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.122473Z"},"links":{"cited_paper":"/paper/2502.05206","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:03a3a906bbf26b8fbeca3d0e6d8a53fa7b6fbe819707b82fc4144e5e96eeada0","observation_id":"e21bbb09-7a71-45d0-9066-d4a3bf2925c7","resolution":{"observed_at":"2026-08-06T04:46:59.122473Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.462898Z","title":"Conditional generative adversarial nets","venue":null,"work_id":"d2c90c12-e813-4270-8cbc-0f84992b208e","year":2014},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.125755Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:32a49832b9a5990d452f2945f2466039de26af3aed5890b2b8841530aaaacc26","observation_id":"3cd4678c-8283-4d0d-8390-4d38b7da41d4","resolution":{"observed_at":"2026-08-06T04:46:59.464921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.455995Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"f30939e3-220b-4ec1-a3d7-915021a806e9","year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.128580Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:b222b991f800c0008625eb8ff9d4cf85f574884b80eb539d7d69ceea3ac0582d","observation_id":"ef11bb78-6e60-46e3-85a6-c1c520b88859","resolution":{"observed_at":"2026-08-06T04:46:59.458370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.10114","last_updated":"2022-10-18T19:23:52Z","snapshot_observed_at":"2026-08-05T23:00:03.935642Z","submitted_at":"2022-10-18T19:23:52Z","title":"Transferable Unlearnable Examples","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.10114","snapshot_observed_at":"2026-08-06T04:46:59.130529Z","title":"Transferable unlearnable examples","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.130529Z"},"links":{"cited_paper":"/paper/2210.10114","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:a5fd75697b33d0a4c79b6d4284b367630fe8fe748444b66423ce1726cc88a0aa","observation_id":"fdf6a9d2-ddb1-46ff-ba94-faf2d2e858cb","resolution":{"observed_at":"2026-08-06T04:46:59.130529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.449072Z","title":"Cuda: Convolution-based unlearnable datasets","venue":null,"work_id":"9f02386b-7466-4f07-9c4a-409733517651","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.133464Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:34921a1dcc53ea321ece744af15bbd4994c40881d3af88ea900a28466b0c61ea","observation_id":"6c97687d-8064-4ddd-a66f-8584f51a99d2","resolution":{"observed_at":"2026-08-06T04:46:59.451293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.443154Z","title":"Autoregressive perturbations for data poisoning","venue":null,"work_id":"c1aaa264-ef2f-471c-b130-8b7ebb3674fd","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.136327Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:ce633546e7c95824f83a6552ea4759d6af779ac2aa736728e5fe2b1a561eba48","observation_id":"9ace8b4c-eb5f-4b12-9b93-c21c572c086d","resolution":{"observed_at":"2026-08-06T04:46:59.445260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.436890Z","title":"What can we learn from unlearnable datasets? NeurIPS, 2023","venue":null,"work_id":"50d42d57-8ef7-4fca-a42c-e6b48f1d7cc8","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.138271Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:6dec6b5db53e583f61abff2dc959a672366dfe118f0dfe2d2417bc24fdf49ad9","observation_id":"a575531d-8fbb-4bf6-a185-8f52771110dc","resolution":{"observed_at":"2026-08-06T04:46:59.439072Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02114","last_updated":"2021-11-03T10:16:39Z","snapshot_observed_at":"2026-08-02T08:12:49.547570Z","submitted_at":"2021-11-03T10:16:39Z","title":"LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.02114","snapshot_observed_at":"2026-08-06T04:46:59.140164Z","title":"Laion-400m: Open dataset of clip-filtered 400 million image-text pairs","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.140164Z"},"links":{"cited_paper":"/paper/2111.02114","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:ee1182764e522ddf8f9b459c7c03b58a0aec308c7125607d0fa3268c408efcb5","observation_id":"dbd6067a-13c9-4039-a6a8-8671f53da7d7","resolution":{"observed_at":"2026-08-06T04:46:59.140164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.430156Z","title":"Laion- 5b: An open large-scale dataset for training next generation image-text models.NeurIPS, 2022","venue":null,"work_id":"74d1b07d-03f4-457d-bc3c-b17cdc6ab4cb","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.142879Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:4ebbec90076b7ff05167167575703088f2742f4a31cf6f9d0b1179e11b43ad24","observation_id":"800b672e-36e5-4951-b5a8-0d0980043451","resolution":{"observed_at":"2026-08-06T04:46:59.432466Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.1556","last_updated":"2015-04-10T16:25:04Z","snapshot_observed_at":"2026-07-06T03:53:32.549552Z","submitted_at":"2014-09-04T19:48:04Z","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.1556","snapshot_observed_at":"2026-08-06T04:46:59.144958Z","title":"Very deep convolutional networks for large-scale image recognition","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.144958Z"},"links":{"cited_paper":"/paper/1409.1556","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:132d26207b56ddfa8461f0ae48146cf44e18b5cc0c683d5295650d7682d79be9","observation_id":"b8b9da5d-b7f9-45fe-8fce-13210dd2a5e0","resolution":{"observed_at":"2026-08-06T04:46:59.144958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.423566Z","title":"Unseg: One universal unlearnable example generator is enough against all image segmentation","venue":null,"work_id":"c00b6d15-4a01-4fdc-9a7e-cd920e020880","year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.147071Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:ec850e1a9bb50076376ee29d8e5a8d2bf8b219342720723c41817f4e90b1171d","observation_id":"e691beee-b99e-404b-8f1f-bca6ff2738db","resolution":{"observed_at":"2026-08-06T04:46:59.425892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.417451Z","title":"Going deeper with convolutions","venue":null,"work_id":"1ebd39b2-0a10-456b-8469-3b8a3b6db306","year":2015},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.148963Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:82a0a2afa707b944a464f81373f867f64ac3fc298c327bb18e4029e992178c02","observation_id":"91633325-191e-4ac6-94fd-f87a98a23f44","resolution":{"observed_at":"2026-08-06T04:46:59.419369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.410004Z","title":"Generating videos with scene dy- namics","venue":null,"work_id":"f8ce2ce7-6f8d-4bc0-9935-3e58f9084cc9","year":2016},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.150744Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:098c7c8c747c3a3b72fa7580b87d3ec79f62bb72f9ae304b0564d3a139dc143a","observation_id":"70944812-a6ab-4d45-9610-5eb5360ec354","resolution":{"observed_at":"2026-08-06T04:46:59.413080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.03316","last_updated":"2024-11-15T07:28:15Z","snapshot_observed_at":"2026-08-10T04:55:05.479608Z","submitted_at":"2024-05-06T09:48:47Z","title":"Provably Unlearnable Data Examples","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.03316","snapshot_observed_at":"2026-08-06T04:46:59.152481Z","title":"Provably unlearnable data examples","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.152481Z"},"links":{"cited_paper":"/paper/2405.03316","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:25438ab190eb74c00f9f3fa9496e86d09deee2d49e30916a7a2ae58f786d8e54","observation_id":"426c9c0f-ea25-4639-8a9e-6017c2cb3e86","resolution":{"observed_at":"2026-08-06T04:46:59.152481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.14100","last_updated":"2022-12-15T19:21:35Z","snapshot_observed_at":"2026-08-04T09:31:34.784365Z","submitted_at":"2022-05-27T17:03:38Z","title":"GIT: A Generative Image-to-text Transformer for Vision and Language","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.14100","snapshot_observed_at":"2026-08-06T04:46:59.154460Z","title":"Git: A generative image-to-text transformer for vision and language","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.154460Z"},"links":{"cited_paper":"/paper/2205.14100","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:7420f650142ae725c0f6d6b3e058c1473c5848d910f37b1fe8ba7258015b80f0","observation_id":"b16588cd-9222-4e0d-a364-33b95efe0e0f","resolution":{"observed_at":"2026-08-06T04:46:59.154460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.404021Z","title":"Unlearnable 3d point clouds: Class-wise transformation is all you need","venue":null,"work_id":"321c0f06-3080-4f3c-b3bc-88b1f33719b5","year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.156429Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:f4ae9ffe44e53af8140a3780d530f6ccfcfc00166d02590f8dcda39989e019ed","observation_id":"5d6096e2-56b4-4cf4-b12b-063e6d93a7f8","resolution":{"observed_at":"2026-08-06T04:46:59.406079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.397881Z","title":"Dcgan-based data augmentation for tomato leaf disease identification","venue":null,"work_id":"2bf51c3b-7921-491b-bc9a-25d3ea777dc6","year":2020},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.158683Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:92ab0dfa02dfc4b9c5b3dfa9dc347a9792c10941bc2956a00b2695f0a24d80f0","observation_id":"d6851079-e0c4-4035-8e5e-4aafb0a8dcf5","resolution":{"observed_at":"2026-08-06T04:46:59.400062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.160649Z","title":"Demystifying clip data","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.160649Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:b1c60935873299b456c2bfdee061c9e136f50a2839b10033adc9bb0761de4437","observation_id":"554c4f37-07c9-4007-bb29-de92881a9644","resolution":{"observed_at":"2026-08-06T04:46:59.160649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.387205Z","title":"Robust contrastive language-image pretraining against data poisoning and backdoor attacks","venue":null,"work_id":"6ac5e6f9-fa2c-4f02-a5d5-4d9dbdc460c9","year":2024},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.162762Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:01dceba79b281b2df3eac1b8e6e3b96df88097687f7e5c357642a3d6cdc803f1","observation_id":"5418ed38-7064-4485-8bcf-870fca2d3c68","resolution":{"observed_at":"2026-08-06T04:46:59.389829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.379834Z","title":"Data poisoning attacks against multimodal encoders","venue":null,"work_id":"10646bb5-00e2-4ece-9b25-caad005aa8d4","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.165141Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:fe6d7bfceaac46ec4380110b6f785d430483f85f3822bf42a3f3575c7c97899b","observation_id":"13159f1b-f163-4941-a112-1c00690e8e05","resolution":{"observed_at":"2026-08-06T04:46:59.382461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.373021Z","title":"How far are we from true unlearnability? In ICLR, 2025","venue":null,"work_id":"a8ca57e3-5d64-43f4-af93-05b1f11b47b0","year":2025},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.167155Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:beb3ad427ee8ef18e8d227c5b9f1a73351738fbf72ebebc763779493d2c08bfe","observation_id":"d35b5d58-3675-45d9-8701-9a2e8c71746a","resolution":{"observed_at":"2026-08-06T04:46:59.375503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.366677Z","title":"From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions","venue":null,"work_id":"adb975cf-0dda-4228-8f07-dfe5c01e7e0f","year":2014},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.169308Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:a74b12b36619e83220e818138fb50a1cbd61095b4b03e338544262e2498e40c2","observation_id":"90db0ce1-27bd-4c42-9197-5f2c93b63950","resolution":{"observed_at":"2026-08-06T04:46:59.368950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.359285Z","title":"Availability attacks create shortcuts","venue":null,"work_id":"dafa6e80-1d0c-4a6b-ab67-2c8a23150f23","year":2022},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.171423Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:d7e5d4d1b6fdd539221fe46dd9d8f44ea12215bcf8129fc6c75030cdac20f84c","observation_id":"84d8b2b8-ec25-4703-9e4b-3fae417adca3","resolution":{"observed_at":"2026-08-06T04:46:59.362025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.352224Z","title":"Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks","venue":null,"work_id":"103f304d-90db-4736-b671-5a414ece719f","year":2017},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.173317Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:415e7f5b9295d2630a5c7ff5ded4499d86f8b888e2a7964f179a9aa975298a76","observation_id":"d35a8cf9-fcd8-4c5c-b6fc-185f256f27a0","resolution":{"observed_at":"2026-08-06T04:46:59.354511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-06T04:46:59.175100Z","title":"mixup: Beyond empirical risk minimization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.175100Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:6d841c9cd23a4026c6f3b6f267c7719b74201843c0756427e4913ef82f511f11","observation_id":"2f99b370-fc70-4fcb-a9c4-809d77cbebed","resolution":{"observed_at":"2026-08-06T04:46:59.175100Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T04:46:59.346483Z","title":"Unlearnable clusters: Towards label-agnostic unlearnable examples","venue":null,"work_id":"bcbd82b9-fb96-4d53-82f5-a5738cba2e59","year":2023},"citing_paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T04:46:59.177308Z"},"links":{"citing_paper":"/paper/2508.03091"},"observation_digest":"sha256:7a8659d614b2a4b03ad80d1d20ecc0eef76dcf6c62dd8e57916ae2e2853e1b4c","observation_id":"7cdbe116-838d-4951-a516-c90aa39b23a7","resolution":{"observed_at":"2026-08-06T04:46:59.348563Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.03091","last_updated":"2025-08-05T05:10:14Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T11:47:13.622459Z","submitted_at":"2025-08-05T05:10:14Z","title":"T2UE: Generating Unlearnable Examples from Text Descriptions"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":35},"total_outbound_references":53},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2508.03091."}