{"as_of":"2026-08-13T01:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:47e3becab70026d5623351f6aa8c6a99b60c4f6424497fcd3f77804749186f49","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T13:33:16.744755Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T17:50:55.088475Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T06:00:58.886800Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"cited_work":{"arxiv_id":"2411.16154","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.16154","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","venue":null,"work_id":"076a1ec9-2672-4309-9912-6e79abeaf53e","year":2024},"citing_paper":{"arxiv_id":"2604.09101","last_updated":"2026-04-10T08:33:56Z","snapshot_observed_at":"2026-08-02T05:05:49.291065Z","submitted_at":"2026-04-10T08:33:56Z","title":"CLIP-Inspector: Model-Level Backdoor Detection for Prompt-Tuned CLIP via OOD Trigger Inversion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T17:50:55.088475Z"},"links":{"cited_paper":"/paper/2411.16154","citing_paper":"/paper/2604.09101"},"observation_digest":"sha256:08aa545a13340dadce14804d3758662c17656d37abebc644725ef9a59e1f34bc","observation_id":"d70d2147-091f-406a-9c2c-9d0ddf2069e0","resolution":{"observed_at":"2026-05-11T06:00:58.898682Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.16154/citation-record","integrity":"/paper/2411.16154/integrity","json":"/paper/2411.16154/citation-record.json","paper":"/paper/2411.16154"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-12T13:33:16.544737Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.544737Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:cf91a4ed8fe0b50bbd34752f069ff8ab9a3c4907d24d51a7736afa9fbe556113","observation_id":"f599ce07-cb0c-459e-8406-f5fbdd5bfa3a","resolution":{"observed_at":"2026-08-12T13:33:16.544737Z","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":"2026-08-12T13:33:17.438192Z","title":"Badclip: Trigger-aware prompt learning for backdoor attacks on clip","venue":null,"work_id":"e350c24f-a015-489f-9fc4-257a9a3907d4","year":null},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.550147Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:fe1581e3c5be81a821162a66df00b02a64c67bfb8afd14b8f841f8856d3ed3b8","observation_id":"68baab94-0e58-40d5-b97b-1d7f54f8d1a5","resolution":{"observed_at":"2026-08-12T13:33:17.443801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.421057Z","title":"Cleanclip: Mit- igating data poisoning attacks in multimodal con- trastive learning","venue":null,"work_id":"c8e6f96a-878c-4357-81f0-4cd96320d77f","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.554527Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:b3034f18521acf8f2b185579eb25d9b00ecb65ef8bb60d5f037ccf18ea6cbfa7","observation_id":"e9920784-87e0-4e7b-9cae-f7e3c359b9c9","resolution":{"observed_at":"2026-08-12T13:33:17.426217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09667","last_updated":"2022-03-28T17:24:23Z","snapshot_observed_at":"2026-08-09T17:46:25.469878Z","submitted_at":"2021-06-17T17:20:45Z","title":"Poisoning and Backdooring Contrastive Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09667","snapshot_observed_at":"2026-08-12T13:33:16.558896Z","title":"Poisoning and backdooring contrastive learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.558896Z"},"links":{"cited_paper":"/paper/2106.09667","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:a7e487e884569fe10625460e3ef5f48c3bd667a3bac4d67cc118c9b7430354e3","observation_id":"63fb8c9d-79b0-4246-ae67-9fe61f2e6611","resolution":{"observed_at":"2026-08-12T13:33:16.558896Z","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":"2026-08-12T13:33:16.564118Z","title":"A simple framework for con- trastive learning of visual representations","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.564118Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:04a118728acf1ee136f38064fbf2138376b69cf90ca75deb80931f66c9f224c1","observation_id":"beadb858-01bb-4e17-bbfa-c080859bce8e","resolution":{"observed_at":"2026-08-12T13:33:16.564118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.05526","last_updated":"2017-12-15T04:26:26Z","snapshot_observed_at":"2026-07-06T06:14:30.795326Z","submitted_at":"2017-12-15T04:26:26Z","title":"Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.05526","snapshot_observed_at":"2026-08-12T13:33:16.568878Z","title":"Targeted backdoor attacks on deep learn- ing systems using data poisoning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.568878Z"},"links":{"cited_paper":"/paper/1712.05526","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:e3f5354f6964bcf76155a72f3e46f21819faf197a6528acf987289a41555d8c5","observation_id":"94b17473-e20a-45e7-9da3-6143e517da3c","resolution":{"observed_at":"2026-08-12T13:33:16.568878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.04297","last_updated":"2020-03-09T17:56:49Z","snapshot_observed_at":"2026-07-06T09:03:25.467987Z","submitted_at":"2020-03-09T17:56:49Z","title":"Improved Baselines with Momentum Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2003.04297","snapshot_observed_at":"2026-08-12T13:33:16.574157Z","title":"Improved baselines with momentum contrastive learning","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.574157Z"},"links":{"cited_paper":"/paper/2003.04297","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:c47685eed92a04e8035348ee026f2a87767bb1abc36178bca1c01766ce89c94b","observation_id":"3305a04d-60ba-4c45-8950-c869fdc440e0","resolution":{"observed_at":"2026-08-12T13:33:16.574157Z","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":"2026-08-12T13:33:17.395572Z","title":"An anal- ysis of single-layer networks in unsupervised feature learning","venue":null,"work_id":"f160a444-b468-41b3-9054-7e782ccca6f2","year":2011},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.579230Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:15ba197a6ec4b55a5cb6ff515143472b8b74f92c2c92540f352ae325f353e228","observation_id":"ccd83cba-bd88-4f2d-8916-1478c293e056","resolution":{"observed_at":"2026-08-12T13:33:17.400009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.381991Z","title":"Imagenet: A large-scale hierarchi- cal image database","venue":null,"work_id":"14a6eefc-ec4d-4882-825f-a728b8e43e74","year":2009},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.584520Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:065ac62ee91101f6425ae2534886b196811c798dfcc5a0bcf1229dfdce15f619","observation_id":"4b7036d2-4ebf-4924-a120-f5dddc3684b1","resolution":{"observed_at":"2026-08-12T13:33:17.386458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.366130Z","title":"Backdoor at- tack with imperceptible input and latent modification","venue":null,"work_id":"d122d8d0-17fc-4f76-9cbe-ea27ae7503b4","year":2021},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.589121Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:84231b6a6c23e92cd66bbcec36f72ef5e126cd33f22823781924a0508c30a362","observation_id":"7b3fa3c0-a766-47ea-a0a2-ae86940d0e59","resolution":{"observed_at":"2026-08-12T13:33:17.371073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.350289Z","title":"Lira: Learnable, imperceptible and robust backdoor attacks","venue":null,"work_id":"61d28458-ca8a-4472-a7fa-709348abfc63","year":2021},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.593723Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:4764c2650c32066e5a580e50f219b5d48703cef443672febe6a0ae6affac4001","observation_id":"ed12ec4a-7ddb-4a52-b612-5599a6a6690b","resolution":{"observed_at":"2026-08-12T13:33:17.355538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.334528Z","title":"Detecting back- doors in pre-trained encoders","venue":null,"work_id":"00d79532-a5a0-4e35-9562-2d700d21f060","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.598428Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:697c4b13c0d4d3cc73a5f2bb9444843bd1bfa2c077dc98231d30ac9d094e103c","observation_id":"3b00e0ea-853e-4e6c-b16c-6fea0b806220","resolution":{"observed_at":"2026-08-12T13:33:17.339619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.318713Z","title":"Detecting back- doors in pre-trained encoders","venue":null,"work_id":"b52014b2-a73b-44e7-880e-ff51891c78b3","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.603520Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:1c3a71a7999c08dbda7900ae132874d5ab6d520b12aa3bcc9e28bd8a41558dc3","observation_id":"a4d96d6a-80a5-41cb-a361-65c9d52864ed","resolution":{"observed_at":"2026-08-12T13:33:17.323779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10760","last_updated":"2020-08-02T08:38:25Z","snapshot_observed_at":"2026-08-09T12:13:44.628029Z","submitted_at":"2020-07-21T12:49:12Z","title":"Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.10760","snapshot_observed_at":"2026-08-12T13:33:16.608574Z","title":"Backdoor attacks and countermeasures on deep learning: A comprehensive review","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.608574Z"},"links":{"cited_paper":"/paper/2007.10760","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:814513da65094acdc771ac2f15572a9b5d53bc960c43e34129fbd116ce86c85a","observation_id":"0f42ce12-f9bd-4df8-a603-e9fad494982f","resolution":{"observed_at":"2026-08-12T13:33:16.608574Z","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":"2026-08-12T13:33:17.303576Z","title":"Self-supervised learn- ing of visual features through embedding images into text topic spaces","venue":null,"work_id":"a7f1abfb-96ca-4290-88df-cda97ebc594c","year":2017},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.614446Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:801d5974d2d6c964f5459efe704544d0cd5351f0607ffb02087bfc9f1d739a7b","observation_id":"99dc92e8-3520-4a79-87d1-b03bf9fc74bf","resolution":{"observed_at":"2026-08-12T13:33:17.308470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.288115Z","title":"A survey on self- supervised learning: Algorithms, applications, and fu- ture trends","venue":null,"work_id":"59dbd285-0eb4-43a4-91f6-0402563c3615","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.618988Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:6a95d1cf739a1c40f92788689059de804fd82a35ea07658feb94c0a97a05276f","observation_id":"709886c5-7c1a-495c-95c3-91308185c3f3","resolution":{"observed_at":"2026-08-12T13:33:17.293153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11202","last_updated":"2023-03-09T05:16:49Z","snapshot_observed_at":"2026-07-06T12:40:37.114247Z","submitted_at":"2022-02-22T22:31:57Z","title":"Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.11202","snapshot_observed_at":"2026-08-12T13:33:16.623580Z","title":"Indiscriminate poisoning attacks on unsupervised contrastive learn- ing","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.623580Z"},"links":{"cited_paper":"/paper/2202.11202","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:9376f4b15f912bee24a10935734629954071985915b079397d6a3a698b8027f6","observation_id":"45b56b9b-5b87-4dd0-ab0c-dbd18c1f580d","resolution":{"observed_at":"2026-08-12T13:33:16.623580Z","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":"2026-08-12T13:33:17.272112Z","title":"Momentum contrast for unsupervised visual representation learning","venue":null,"work_id":"df64c525-3541-44a0-96d5-df9b038aca83","year":2020},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.628693Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:cfc35165f10ba071bf7ef3bae425212d117175470f9e862a2cc4433cb46a104e","observation_id":"80f07e25-ca9f-4ec6-8724-5b3ef990ba94","resolution":{"observed_at":"2026-08-12T13:33:17.277679Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.253519Z","title":"Masked autoencoders are scalable vision learners","venue":null,"work_id":"e3872a8d-71a3-4ed2-8c45-f23020faa2d2","year":2022},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.633599Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:c09bc0d073a6a8baf646179b47dd8925ebb438fcd30964ffd9547e26a8f8e2f5","observation_id":"3f62ea58-d59c-4f83-9772-179da9737584","resolution":{"observed_at":"2026-08-12T13:33:17.259097Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.237484Z","title":"Detection of traffic signs in real-world images: The German Traf- fic Sign Detection Benchmark","venue":null,"work_id":"ea51e3fe-b961-4194-ab26-b25a558f506a","year":2013},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.638033Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:9ef1f447e729ee1a9a764b4f488b20c2114df6207f2053787adca5ff79c1aade","observation_id":"e0b678fb-922f-4f51-9edf-98417bcbbc6a","resolution":{"observed_at":"2026-08-12T13:33:17.242419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.221292Z","title":"Generalized odin: Detecting out-of-distribution image without learning from out-of-distribution data","venue":null,"work_id":"0880fd84-8667-42e4-a701-efca2bd6ef40","year":2020},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.642099Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:b65e04c08a3ac5b9f640c0d417ce7232aa808db24bea8476b1c8940bb683cae8","observation_id":"1e1ca1b8-95ba-4ee8-a59c-afd9c70f932e","resolution":{"observed_at":"2026-08-12T13:33:17.226468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.205962Z","title":"A survey on contrastive self-supervised learning","venue":null,"work_id":"b1e888d0-655d-4417-942a-9ddca17a3cdd","year":2020},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.646226Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:ef18f5ce822494a0cb170b2fc94cad8c0d4ed6bc3afa2888215a5ab7b74e0603","observation_id":"8e762213-8c20-4da4-bb40-6a9160e7f906","resolution":{"observed_at":"2026-08-12T13:33:17.210838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.190545Z","title":"Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning","venue":null,"work_id":"3775f3b6-bafb-489f-96c7-b6888ca43b00","year":2022},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.650074Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:3908b980f00651e72a9fcb1e122faa61d7566052d59a3d06019908f8f3b187c1","observation_id":"b8578eaa-4931-437d-92e1-9410628f671a","resolution":{"observed_at":"2026-08-12T13:33:17.195367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.654038Z","title":"Learning multiple layers of features from tiny images","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.654038Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:061e80f273521a73bc763f8a21c54d86cd1b76858aaa5f2e679a33293d4e0372","observation_id":"6475a308-b176-448c-a825-cb0afff919be","resolution":{"observed_at":"2026-08-12T13:33:16.654038Z","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":"2026-08-12T13:33:17.165904Z","title":"An embar- rassingly simple backdoor attack on self-supervised learning","venue":null,"work_id":"6ad42d26-e7db-429d-a019-65da68606af6","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.658594Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:d3ac819b0038cb2d26dc932098b1e6e2d5583278eab4067bd447852cdece6e16","observation_id":"26baac4d-8046-4224-ba97-1c07838cb63e","resolution":{"observed_at":"2026-08-12T13:33:17.170648Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.151772Z","title":"On the dif- ficulty of defending contrastive learning against back- door attacks","venue":null,"work_id":"071f7ed7-25b5-4144-be12-1f710e80e09c","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.662462Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:da2af9ce22e41788c1da2d762efb8b87ef264287f6ff61b957a7dac7e332631d","observation_id":"41d67759-8b0f-4838-b16d-ec89129cd6f5","resolution":{"observed_at":"2026-08-12T13:33:17.156237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.138105Z","title":"Badclip: Dual- embedding guided backdoor attack on multimodal contrastive learning","venue":null,"work_id":"ce50874b-3edd-4773-8f2b-50b7118cfc94","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.667017Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:61b856036ac392d1dcb917391a172b2dabb3a439daf7ca2d60fd9f635b42fc07","observation_id":"394aa831-bab9-453d-83cf-343cb082dc16","resolution":{"observed_at":"2026-08-12T13:33:17.142203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.124172Z","title":"{PoisonedEncoder}: Poisoning the unlabeled pre- training data in contrastive learning","venue":null,"work_id":"d16f7298-2cc8-4ee5-8b1b-4e4404cbcb91","year":2022},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.671489Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:0d36f02fbb5874c0db0da00f836c90d3ca36b32c14f1a9157ea718859281d35e","observation_id":"3c69ae9c-796a-40b0-b691-f81907c33f34","resolution":{"observed_at":"2026-08-12T13:33:17.128719Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.110108Z","title":"Read- ing digits in natural images with unsupervised feature learning","venue":null,"work_id":"1846fc65-bc6b-4ce8-85e2-0ecffa5bc1d8","year":2011},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.676285Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:cfbc715908b9cdcf30f95eab9d0d6f846db13959403981e743aab22005d5759c","observation_id":"d4c5f371-7c5a-407d-944e-ef915628fe35","resolution":{"observed_at":"2026-08-12T13:33:17.114578Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.095753Z","title":"{ASSET}: Robust backdoor data detection across a multiplicity of deep learning paradigms","venue":null,"work_id":"4ddcd616-c4c8-45c3-a710-f04d68fe9312","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.680646Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:9c1d8a18f7abde96ea4e3c14d3e2518a22f4ca3c5fd1db5b07ec0d1fa61c6ee0","observation_id":"d7bcf67f-6dac-4821-964a-63b00c25fed4","resolution":{"observed_at":"2026-08-12T13:33:17.100452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.081520Z","title":"Pedregosa, G","venue":null,"work_id":"1129e765-f20f-4e8d-9378-5b946c4ab1d1","year":2011},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.685092Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:0c4f71a039d4e4678d3d50ff23edae705bbfe5fa711bb06ab3732125ae8305b5","observation_id":"92543a83-3c8a-4560-8d1b-18938b1a732a","resolution":{"observed_at":"2026-08-12T13:33:17.086025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.067128Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"23e72b76-a96a-45f7-894a-81cfa6e7cdca","year":2021},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.690150Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:0384a6e514eb985f31293bac5b0c8c539adc071044333315bffd8a65490a4226","observation_id":"cf484271-5a74-48f3-9a17-5c97b8602e37","resolution":{"observed_at":"2026-08-12T13:33:17.072035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.052283Z","title":"Hidden trigger backdoor attacks","venue":null,"work_id":"454be79a-eed3-455d-9bec-8e804fcdb56e","year":2020},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.694713Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:2b06d6a06961a2db9773974e7eef921513f1335f5ef65b996ff2105f79b7f1ce","observation_id":"7c97a327-1dc1-4904-9580-f92b69823331","resolution":{"observed_at":"2026-08-12T13:33:17.057266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.037867Z","title":"Backdoor at- tacks on self-supervised learning","venue":null,"work_id":"e51aae83-2317-4615-b132-075ec09fd071","year":2022},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.699396Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:d4668d38848d967048d20774c8c973dd8fe9636875797763d24e9e02abb8a615","observation_id":"3d35f560-3056-4c4e-91fc-480602a9c314","resolution":{"observed_at":"2026-08-12T13:33:17.042615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.023148Z","title":"Conceptual captions: A cleaned, hy- pernymed, image alt-text dataset for automatic image captioning","venue":null,"work_id":"02e78abf-23a0-4a55-958c-2e96411b83e8","year":2018},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.703946Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:c41513c4e51261f8151f376b65bf7f0ea8ae4a50a082e2ff6dc6064c80e5388d","observation_id":"111820b7-ffc8-42b5-8681-23811a2ceffe","resolution":{"observed_at":"2026-08-12T13:33:17.027914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:17.007895Z","title":"Dis- tribution preserving backdoor attack in self-supervised learning","venue":null,"work_id":"440fe438-1fc7-4e57-b3d6-0e7d69056621","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.708757Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:5218a650fbdef0cd0f210030290695ebe7343d229fd5efa85b5c6202e513d2f0","observation_id":"28b331e4-0c7a-4612-954b-a8f9cb08605b","resolution":{"observed_at":"2026-08-12T13:33:17.012844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.992972Z","title":null,"venue":null,"work_id":"85995a4f-438d-4d87-b29f-af71aa44e2bc","year":2020},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.713349Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:617be0808240fed20f90972884f49f65385b9aebfd98f31b77d404e682935930","observation_id":"5b402754-a9b4-4034-ae3e-74243445789b","resolution":{"observed_at":"2026-08-12T13:33:16.997755Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.975890Z","title":"Unsupervised feature learning via non-parametric instance discrimination","venue":null,"work_id":"32f16799-8cbc-48bd-800b-7e966aa6d261","year":2018},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.717909Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:40d89db767675b6efdcb0c1bacf57ed1644f44a08c80d0f6e073f806a9ecb5d7","observation_id":"18a55c0c-9a1f-4fdb-9e4e-d4543a354ae3","resolution":{"observed_at":"2026-08-12T13:33:16.980937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.959249Z","title":"Ssl- abd: An adversarial defense method against backdoor attacks in self-supervised learning","venue":null,"work_id":"4eaae53b-5e78-4622-925e-aab3790ccf5e","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.722452Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:5ead6908bf62231a8e0dc07f3ca2e0548cd368e3033d981aa81b35b5b575e6f6","observation_id":"3e52bdd8-14e1-486c-a096-978d2ed23ada","resolution":{"observed_at":"2026-08-12T13:33:16.963757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.943376Z","title":"Openood: Benchmarking generalized out-of-distribution detec- tion","venue":null,"work_id":"9844e767-5329-4b16-8d0a-9b69b4b7f7de","year":2022},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.727249Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:a1390794b1a1c976dc9c2fddcdcb4989d71e0e77f42796ae205684e08573cfb4","observation_id":"abfa651a-30f8-4c0b-b93e-4a6527727d2d","resolution":{"observed_at":"2026-08-12T13:33:16.948413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.927814Z","title":"Generalized out-of-distribution detection: A sur- vey","venue":null,"work_id":"2ff9d727-23a1-4651-95d3-e6955614011b","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.731657Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:0259f9f02aa0ce025f06c7d2dce880701a804b688f56b1bc575fb07b99659ce1","observation_id":"bc7f1d93-a8b0-40c9-84fe-c65a75f591ed","resolution":{"observed_at":"2026-08-12T13:33:16.933105Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.911701Z","title":"Robust contrastive language-image pre- training against data poisoning and backdoor attacks","venue":null,"work_id":"72434ceb-db30-488a-862e-0dddb67900e7","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.736123Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:005b48ad9e4f640a600828dc0a79f54ed48b29b9e759cb6c786dde4bfd064f6b","observation_id":"7dee3ecf-f2cb-4d12-a16d-98c6a7f3bc3d","resolution":{"observed_at":"2026-08-12T13:33:16.916750Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-12T13:33:16.895191Z","title":"Data poisoning based back- door attacks to contrastive learning","venue":null,"work_id":"68a5cae0-9d2c-4fd7-aa35-0077bc6eb12e","year":2024},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.740430Z"},"links":{"citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:06c24a0d90f757ca0bb475c45195e97e28296d9e73e983b126ed16d489725a1c","observation_id":"bcd4a087-823e-46a3-bc41-d71853267559","resolution":{"observed_at":"2026-08-12T13:33:16.900168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09079","last_updated":"2024-07-16T23:07:24Z","snapshot_observed_at":"2026-07-06T15:04:03.662436Z","submitted_at":"2023-03-16T04:45:06Z","title":"SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning","version":3},"cited_work":{"arxiv_id":"2303.09079","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.09079","snapshot_observed_at":"2026-08-12T13:33:16.781826Z","title":"SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning","venue":"cs.CR","work_id":"4cb4342c-83ce-48b3-bf39-aa653dff2641","year":2023},"citing_paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T13:33:16.744755Z"},"links":{"cited_paper":"/paper/2303.09079","citing_paper":"/paper/2411.16154"},"observation_digest":"sha256:1cf8d5087d179658f77636cd051d8122a996eebc7591dd807f3c51d7ae31f771","observation_id":"951b4b8a-d6e5-4267-b2f2-e99fc171a76d","resolution":{"observed_at":"2026-08-12T13:33:16.788673Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.16154","last_updated":"2025-03-20T07:05:27Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T13:27:14.782562Z","submitted_at":"2024-11-25T07:26:22Z","title":"DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":34},"total_outbound_references":44},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2411.16154."}