{"as_of":"2026-08-08T07:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f780942d6393601bebe6674cd974c335ce5ae5d68f0b1fbbf1023eaa27ed85a","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:12:40.825200Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2506.11125/citation-record","integrity":"/paper/2506.11125/integrity","json":"/paper/2506.11125/citation-record.json","paper":"/paper/2506.11125"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T05:12:40.692986Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.692986Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:b01f024cf45bf6e7646f56411c82ffa2fe722ce8c3c02c4fde9fddeb1159178d","observation_id":"bfee9eeb-2bbc-4ace-85fb-29817dbfa340","resolution":{"observed_at":"2026-08-07T05:12:40.692986Z","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":"2026-08-07T05:12:40.696946Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.696946Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:fc86efad499b18f84a08142e86186d6a332c17e886c1b4884c26536be4ddd275","observation_id":"142bdd5f-3ea3-42e7-b441-4b60b1ad8acf","resolution":{"observed_at":"2026-08-07T05:12:40.696946Z","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":"2026-08-07T05:12:41.393199Z","title":"Language models are few-shot learners,","venue":null,"work_id":"9aa59ba6-99bb-478f-b82c-20f1f764d517","year":2020},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.700156Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:355f5a003ae06d100219df99d1dfd26cf8f0d22c90795ef122fbde7c7bd3da72","observation_id":"f630a0c8-75e4-4429-bce6-748c5a29d39a","resolution":{"observed_at":"2026-08-07T05:12:41.397079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.09727","last_updated":"2025-04-15T15:38:22Z","snapshot_observed_at":"2026-08-04T23:37:07.884128Z","submitted_at":"2024-01-18T05:06:39Z","title":"Lateral Phishing With Large Language Models: A Large Organization Comparative Study","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.09727","snapshot_observed_at":"2026-08-07T05:12:40.703187Z","title":"Gpt-4-phish: Using gpt-4 to generate and evaluate phishing emails,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.703187Z"},"links":{"cited_paper":"/paper/2401.09727","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:12b5ecce280ff19758bcd8682f8dc290bd699b9be2a4b6fd12d6a17fb388dff2","observation_id":"3548ff91-727d-4441-9c79-8ea749ee29d7","resolution":{"observed_at":"2026-08-07T05:12:40.703187Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.13049","last_updated":"2025-03-19T00:33:59Z","snapshot_observed_at":"2026-07-06T18:33:19.806199Z","submitted_at":"2024-06-18T20:47:16Z","title":"Assessing AI vs Human-Authored Spear Phishing SMS Attacks: An Empirical Study","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.13049","snapshot_observed_at":"2026-08-07T05:12:40.707286Z","title":"Speargpt: Spear phish- ing emails generation via chatgpt,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.707286Z"},"links":{"cited_paper":"/paper/2406.13049","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:dfe3c8af46409df6e0c63161cce0b3be826ad8a9db7ad113caf34cd293f86280","observation_id":"667bd7fb-10ff-46bd-8a54-38f470c6e2d2","resolution":{"observed_at":"2026-08-07T05:12:40.707286Z","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":"2026-08-07T05:12:41.383196Z","title":"Exploiting llms for scam automation: A looming threat,","venue":null,"work_id":"d25ac13c-28fb-4bfa-be00-0f0257e4ed8f","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.710648Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:7522ed811043a24bf355c7b15bebf54237b14a25e6176bbb809a26b8c7186d6c","observation_id":"06705ba2-8ffe-49a7-a624-318c52025b50","resolution":{"observed_at":"2026-08-07T05:12:41.386730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.13793","last_updated":"2025-06-16T15:59:36Z","snapshot_observed_at":"2026-07-06T19:18:57.862380Z","submitted_at":"2024-09-20T10:47:09Z","title":"On the Feasibility of Fully AI-automated Vishing Attacks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.13793","snapshot_observed_at":"2026-08-07T05:12:40.713803Z","title":"On the feasibility of fully ai-automated vishing attacks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.713803Z"},"links":{"cited_paper":"/paper/2409.13793","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:6deffc2dfe08466639e68d610f1020b5eb3738503d59e736993b2be29c8f36b4","observation_id":"8c37b910-a5ef-4efc-bf3b-92e584a2cf29","resolution":{"observed_at":"2026-08-07T05:12:40.713803Z","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":"2026-08-07T05:12:41.371591Z","title":"Ai-driven vishing attacks: A practical approach,","venue":null,"work_id":"8399fde3-3bec-4d2f-a540-365d61f669ba","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.716979Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:e7e228bbe743ca46e8bee21b1d0c0464a18e42693ba24d182600153bbcebe0fa","observation_id":"b46f11d2-d8d0-42f8-b0a7-06d716942109","resolution":{"observed_at":"2026-08-07T05:12:41.376014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.360517Z","title":"Don’t listen to me: understanding and exploring jailbreak prompts of large language models,","venue":null,"work_id":"080e88ed-25cf-4b49-ba0b-2c31f2f9d1da","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.720312Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:5d15add6a17d3190b9edcc82d8755b600716ac718686e82ad49292ff15a60775","observation_id":"8a98cfd5-5d31-4026-a1cc-fc9dbb232240","resolution":{"observed_at":"2026-08-07T05:12:41.364474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.348710Z","title":"All in how you ask for it: Simple black-box method for jailbreak attacks,","venue":null,"work_id":"85994304-fdfa-4ed1-846d-a774a23fbdea","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.723396Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:7170692b1c17b1411fa5d8bc510aa0279179eb01a307c5d057d48f48d9f546df","observation_id":"32353dc0-d3e5-4315-aead-76623aa89200","resolution":{"observed_at":"2026-08-07T05:12:41.352522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:40.726416Z","title":"Does audio deepfake detection generalize?","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.726416Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:8b7e3dd02bedf65be840faa3e02e7227e2be21e25ccf3c1b54f2d42d9e5e412e","observation_id":"a5ffaa53-0f6b-4374-aaf8-a58474c1b00e","resolution":{"observed_at":"2026-08-07T05:12:40.726416Z","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":"2026-08-07T05:12:41.337378Z","title":"Audio deepfake de- tection: What has been achieved and what lies ahead,","venue":null,"work_id":"1878c35f-6ddb-416b-8420-c88f39b46ec0","year":1989},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.729317Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:27247b7d94fe85aca42e2a770e0ba639efdc503ab42d6854c47adb4bd57992fb","observation_id":"679fce64-08cd-4fb0-97ba-b65ef58f3bcc","resolution":{"observed_at":"2026-08-07T05:12:41.340791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.327275Z","title":"Audio adversarial examples: Targeted attacks on speech-to-text,","venue":null,"work_id":"4e5a0263-7a52-4cc2-9a41-2b1b68c23596","year":2018},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.732409Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:cb030b840b7506459d42f52d103d8da9f43495c268c8a3db6bc47e9ae23aac47","observation_id":"b12ac6b3-fbb5-49fa-b6d1-d21c08bfe932","resolution":{"observed_at":"2026-08-07T05:12:41.330685Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.00554","last_updated":"2018-01-02T05:24:30Z","snapshot_observed_at":"2026-07-06T06:16:50.245155Z","submitted_at":"2018-01-02T05:24:30Z","title":"Did you hear that? Adversarial Examples Against Automatic Speech Recognition","version":1},"cited_work":{"arxiv_id":"1801.00554","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.00554","snapshot_observed_at":"2026-08-07T05:12:40.912738Z","title":"Did you hear that? Adversarial Examples Against Automatic Speech Recognition","venue":"cs.CL","work_id":"e8d45ef1-5ff8-4247-a199-e1ee1dcf0130","year":2018},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.735366Z"},"links":{"cited_paper":"/paper/1801.00554","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:209872a281aba7a2e9d904b55c030ca34b4fd6aaf9d697a508547c4eae2b281e","observation_id":"3c55c273-d32e-4596-8d52-e598e5d2677e","resolution":{"observed_at":"2026-08-07T05:12:40.916915Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.03828","last_updated":"2019-08-15T05:15:43Z","snapshot_observed_at":"2026-08-01T00:27:10.219357Z","submitted_at":"2019-05-09T19:35:30Z","title":"Universal Adversarial Perturbations for Speech Recognition Systems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.03828","snapshot_observed_at":"2026-08-07T05:12:40.738692Z","title":"Universal adversarial perturbations for speech recog- nition systems,","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.738692Z"},"links":{"cited_paper":"/paper/1905.03828","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:7c2506d86e90a0167ea9873f1094b1df8fd6371d7fe24248b89fb28cf6650da7","observation_id":"941cb9f3-3434-42f4-bf55-034e3acbb37c","resolution":{"observed_at":"2026-08-07T05:12:40.738692Z","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":"2026-08-07T05:12:41.316454Z","title":"Hear” no evil","venue":null,"work_id":"a234dfbf-636f-4541-a279-5cfdc6d507f0","year":2021},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.742514Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:fe2af3799d145d8c33251e46a574ba1c14f7c46b5cbcc78abd2ced20ba989604","observation_id":"8013a86c-5f2d-4ea1-81b7-abdbf742d85c","resolution":{"observed_at":"2026-08-07T05:12:41.320558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.305712Z","title":"Advddos: Zero-query adversarial attacks against commercial speech recognition systems,","venue":null,"work_id":"4589aeaa-bcf8-4692-a015-dbe23f115825","year":2023},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.745578Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:249e4616366f7f861a0827be38db88514494e050b2ec46c97a04d28f2d300418","observation_id":"092c634b-13e2-4325-9b25-1c80b338e870","resolution":{"observed_at":"2026-08-07T05:12:41.309394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.294666Z","title":"{KENKU}: Towards efficient and stealthy black-box adversarial at- tacks against {ASR} systems,","venue":null,"work_id":"b02b4628-eeb7-49aa-ab37-0e647ca74a83","year":2023},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.748655Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:282d8eb84dd435ffba98e1e247426897955060f596bff888fd9cb0948bd231a3","observation_id":"2cd01998-fe2c-44e6-b46a-b570ff46b69f","resolution":{"observed_at":"2026-08-07T05:12:41.298235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.278229Z","title":"Ted-lium: an automatic speech recognition dedicated corpus","venue":null,"work_id":"14bf992f-1a19-4ed5-9ff3-f514bffa29cd","year":2012},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.754889Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:f68ce44badc8ab8243737bdef206ef91ff57ea45fdbdb8b7f4771bb6d282c264","observation_id":"62b99a88-9e6b-46bb-9893-66f295aab5a5","resolution":{"observed_at":"2026-08-07T05:12:41.282004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:40.758048Z","title":"Librispeech: an asr corpus based on public domain audio books,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.758048Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:0c671d0043bf274b3c0ab0dbb78139a2f063a9894cc8f4183b815ab1754d0c16","observation_id":"71f1a55d-91b2-4757-b936-af3bf76fc044","resolution":{"observed_at":"2026-08-07T05:12:40.758048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.5567","last_updated":"2014-12-19T21:36:13Z","snapshot_observed_at":"2026-07-06T04:03:56.251710Z","submitted_at":"2014-12-17T20:39:45Z","title":"Deep Speech: Scaling up end-to-end speech recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.5567","snapshot_observed_at":"2026-08-07T05:12:40.761140Z","title":"Deep speech: Scaling up end-to-end speech recognition,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.761140Z"},"links":{"cited_paper":"/paper/1412.5567","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:5161139d091f48b8ee95e29e70b4cc4ce92c3ed750f300193614f424e7c6809d","observation_id":"66124bb6-8adb-4a50-8e9f-1b9a2b133570","resolution":{"observed_at":"2026-08-07T05:12:40.761140Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11477","last_updated":"2020-10-22T06:09:10Z","snapshot_observed_at":"2026-08-07T05:13:16.889179Z","submitted_at":"2020-06-20T02:35:02Z","title":"wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11477","snapshot_observed_at":"2026-08-07T05:12:40.764739Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech representations,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.764739Z"},"links":{"cited_paper":"/paper/2006.11477","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:11c5d800a4c0d08e0f58adcb82f29c63e9c657c6adf8613d36d4723a08ad1e3c","observation_id":"a9e5ee17-8e4d-45f4-a8cf-a0a7b74047a7","resolution":{"observed_at":"2026-08-07T05:12:40.764739Z","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":"2026-08-07T05:12:41.266286Z","title":"V osk: An open source offline speech recognition toolkit,","venue":null,"work_id":"3a2cd002-0453-4137-bfdc-d3688ee7a1b6","year":2019},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.767764Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:c07f09254a94503ae2962e8459ffcece6efe47ebc88fc6abd87b22bdad3808a6","observation_id":"dfb8f30a-9dbb-41c5-9684-f78e41f01415","resolution":{"observed_at":"2026-08-07T05:12:41.270532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:40.770832Z","title":"Robust speech recognition via large-scale weak supervi- sion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.770832Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:4af7a7e2f6490ec60e8c8c06dcd6373952bc8927ad232e4c36910db90cf4ceb6","observation_id":"26d48970-6709-4c86-8e5e-9c42e656f714","resolution":{"observed_at":"2026-08-07T05:12:40.770832Z","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":"2026-08-07T05:12:41.250336Z","title":"Speech- brain: A general-purpose speech toolkit,","venue":null,"work_id":"c7525d46-962a-4a23-96d6-b381977d75f6","year":2021},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.773785Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:c2621c5a5389b57e78869cb834f1a9fa4573ef63c6c0dd831ef55f24742e3370","observation_id":"103f045c-c53a-4865-87eb-fae1dd9c785a","resolution":{"observed_at":"2026-08-07T05:12:41.253952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.239371Z","title":"End-to-end speech recognition: A survey,","venue":null,"work_id":"a5272ae4-6528-4ca7-9750-39692b03fc62","year":2023},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.777381Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:01d278b8ee213354e76066af8a181917d138973b9564761bea6152e0a0d26181","observation_id":"82d6d60d-1dc0-4b3c-b4ac-ee51f13df755","resolution":{"observed_at":"2026-08-07T05:12:41.243243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:40.780494Z","title":"Automatic speech recognition using advanced deep learning approaches: A survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.780494Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:917c6d76eb86cd9cb14c3d319d578e7a4953f967a30771852e21e6d900e3cea6","observation_id":"a22d92d0-48b2-4657-ac93-a03b1abc0b65","resolution":{"observed_at":"2026-08-07T05:12:40.780494Z","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":"2026-08-07T05:12:41.223104Z","title":"{CommanderSong}: A sys- tematic approach for practical adversarial voice recognition,","venue":null,"work_id":"03b93a3e-f08a-45cf-9112-78d08ce5269e","year":2018},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.783659Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:d56a0eaa38e9c1f3626a85c574af9f50706223350281f7d0c09c329c4186d3dd","observation_id":"36d97993-a568-495b-b24b-bdfe171c6399","resolution":{"observed_at":"2026-08-07T05:12:41.226748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.05665","last_updated":"2018-10-30T12:02:07Z","snapshot_observed_at":"2026-07-06T06:56:02.159474Z","submitted_at":"2018-08-16T20:00:47Z","title":"Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1808.05665","snapshot_observed_at":"2026-08-07T05:12:40.786596Z","title":"Adversarial attacks against automatic speech recognition systems via psychoacoustic hiding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.786596Z"},"links":{"cited_paper":"/paper/1808.05665","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:a29c64c82c90c874f88505f89b20ecd7051caf74be3b6e2b3e6e3e8ada31d1aa","observation_id":"a1754805-f6ed-49fd-928c-9b78a027386f","resolution":{"observed_at":"2026-08-07T05:12:40.786596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1805.07820","last_updated":"2019-08-20T03:34:24Z","snapshot_observed_at":"2026-07-06T06:40:12.419240Z","submitted_at":"2018-05-20T20:04:09Z","title":"Targeted Adversarial Examples for Black Box Audio Systems","version":2},"cited_work":{"arxiv_id":"1805.07820","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.07820","snapshot_observed_at":"2026-08-07T05:12:40.858241Z","title":"Targeted Adversarial Examples for Black Box Audio Systems","venue":"cs.LG","work_id":"a45b1c51-ccd9-4c73-a6a1-f9f0a6b392f8","year":2018},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.790286Z"},"links":{"cited_paper":"/paper/1805.07820","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:859d2f84652645c9d775b3c5f56f1ed33379d7e5f3d144b73faaa4a75f62496e","observation_id":"d693d57c-f866-46f9-b62f-67e076f98675","resolution":{"observed_at":"2026-08-07T05:12:40.864115Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.211929Z","title":"Difattack: Query-efficient black- box adversarial attack via disentangled feature space,","venue":null,"work_id":"8dbbc060-706d-4e42-b702-909f76a7e145","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.793554Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:0b629a9453d81c930edd7bf6ea0524b44548c181c42b1f942911b88ae7590b63","observation_id":"ed8580af-f9e2-44f0-86a5-390342124252","resolution":{"observed_at":"2026-08-07T05:12:41.216230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.199719Z","title":"Why do adversarial attacks transfer? explaining transferability of evasion and poisoning attacks,","venue":null,"work_id":"5b4596dd-5ac6-4af6-958e-23ecb76904a5","year":2019},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.796555Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:78e73644df062513cedb6bd532f87569da3bb263661854545261287baab9240a","observation_id":"f3ba67c7-15db-4e18-8b2e-9602a917c664","resolution":{"observed_at":"2026-08-07T05:12:41.204234Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.06010","last_updated":"2024-01-04T19:27:50Z","snapshot_observed_at":"2026-07-06T16:59:31.970458Z","submitted_at":"2023-12-10T21:51:13Z","title":"A Practical Survey on Emerging Threats from AI-driven Voice Attacks: How Vulnerable are Commercial Voice Control Systems?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.06010","snapshot_observed_at":"2026-08-07T05:12:40.799773Z","title":"A practical survey on emerging threats from ai-driven voice attacks: How vulnerable are commercial voice control systems?","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.799773Z"},"links":{"cited_paper":"/paper/2312.06010","citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:a3a8afad8f469a29e6d57514f0413373362a38ca09aa3805030abaa09a83d5a6","observation_id":"00117b91-7cc2-4de0-8fa6-1360b997e4ff","resolution":{"observed_at":"2026-08-07T05:12:40.799773Z","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":"2026-08-07T05:12:41.188675Z","title":"{Devil’s} whisper: A general approach for physical adversarial attacks against commercial black-box speech recognition devices,","venue":null,"work_id":"46da70d0-3fd9-482e-88c0-ca67b64a3e56","year":2020},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.803591Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:b1b498048b5ad56e3f27e0b8a7b6885e8dba727202c0546348e2d553bd4bb07b","observation_id":"f9e363a3-225f-44da-b704-bd78fd1db99d","resolution":{"observed_at":"2026-08-07T05:12:41.192574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.178711Z","title":"Adaptation to reverberation for speech perception: A systematic review,","venue":null,"work_id":"e9ac613b-50f4-4891-b954-24f88a4f12f8","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.806675Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:97501b5ed292f5293c00816d35e5630b510b131ddad2940b94b333fbbc887a5e","observation_id":"cd4f9057-1051-43e6-a69e-df52b45779f3","resolution":{"observed_at":"2026-08-07T05:12:41.182107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.168422Z","title":"Cortical encoding of hierarchical linguistic in- formation when syllabic rhythms are obscured by echoes,","venue":null,"work_id":"4bc44622-7bcc-4729-b985-3133d072da92","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.809843Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:32ffd1b647ef8b1b85ae8400988b2fff495a50da296ccff16643d6a045e78789","observation_id":"501360f8-99c0-4f4e-a136-d92eff3f73ff","resolution":{"observed_at":"2026-08-07T05:12:41.172048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.157669Z","title":"Sensory and perceptual decisional processes underlying the perception of reverberant auditory environ- ments,","venue":null,"work_id":"50c7d875-e232-4e34-9973-5b8450c2f3ef","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.812755Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:0c47904d5e4b32be951b337f54dc8284c84801b9ab0f6b849d5da970d5a7a51e","observation_id":"dcc0a68f-21ad-4336-9382-987b64e2744a","resolution":{"observed_at":"2026-08-07T05:12:41.161360Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.147302Z","title":"Original speech and its echo are segregated and separately processed in the human brain,","venue":null,"work_id":"c9962660-60b2-4767-bfba-20cdc2bfeec4","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.816199Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:e30f55bf98017a2c226810c6b141bbf4e3c78c3b19a6d887000fd584d2f5ae17","observation_id":"74fd551e-4b8d-4df9-9711-0b92d7b51817","resolution":{"observed_at":"2026-08-07T05:12:41.150742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:40.819060Z","title":"An algorithm for intelligibility prediction of time–frequency weighted noisy speech,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.819060Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:c29f1e4690562347416aa1bf8273e1073db424f2eefd362aea50f51ae50f3fef","observation_id":"493db929-bf87-422a-a166-3d863d443fa6","resolution":{"observed_at":"2026-08-07T05:12:40.819060Z","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":"2026-08-07T05:12:41.130585Z","title":"What was your prompt? a remote keylogging attack on {AI} assistants,","venue":null,"work_id":"03fe45c7-08ca-4dd3-bbc7-10b3d23494d9","year":2024},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.822140Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:90130d08fbd6cbc9b0162e25bf732cb713ae299537ede438f60f858654022881","observation_id":"39ffada1-6019-4580-82fa-361cc358b3b7","resolution":{"observed_at":"2026-08-07T05:12:41.134144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-07T05:12:41.119557Z","title":"[Online]","venue":null,"work_id":"46bb21a9-2455-4b43-9f57-75023c01371f","year":2025},"citing_paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:12:40.825200Z"},"links":{"citing_paper":"/paper/2506.11125"},"observation_digest":"sha256:a62fd1b038859529b724432c0e47a1a4dbcb9d753cf9e643a093876ba782c2b1","observation_id":"9c7cc2fb-f9a5-4348-a432-b4ca625df791","resolution":{"observed_at":"2026-08-07T05:12:41.123001Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.11125","last_updated":"2025-06-10T10:04:23Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T05:27:02.286872Z","submitted_at":"2025-06-10T10:04:23Z","title":"ASRJam: Human-Friendly AI Speech Jamming to Prevent Automated Phone Scams"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":2,"verified_fuzzy":24},"total_outbound_references":41},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.11125."}