{"as_of":"2026-08-09T09:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b730c3b7a7aebbd4a6c7c86dcdfa35479241d04b0faa5b82010a3ccd19440bd1","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:49:47.656755Z","state":"measured"},{"denominator":31,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":31,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2505.17513/citation-record","integrity":"/paper/2505.17513/integrity","json":"/paper/2505.17513/citation-record.json","paper":"/paper/2505.17513"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2109.14900","last_updated":"2022-06-27T06:48:59Z","snapshot_observed_at":"2026-07-06T11:52:56.747402Z","submitted_at":"2021-09-30T07:56:16Z","title":"Impact of Channel Variation on One-Class Learning for Spoof Detection","version":3},"cited_work":{"arxiv_id":"2109.14900","doi":null,"metadata_source":"pith","pith_arxiv_id":"2109.14900","snapshot_observed_at":"2026-08-07T14:49:48.775079Z","title":"Impact of Channel Variation on One-Class Learning for Spoof Detection","venue":"cs.LG","work_id":"0fff46fd-ddc0-469f-9d3c-e67f8c14ae0a","year":2021},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:43.386250Z"},"links":{"cited_paper":"/paper/2109.14900","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:d5ff55dfc52c9792e004188f9118028c58df23c68d028faa4695b25a8c6a5995","observation_id":"c55fcb9e-dac5-4a1c-af06-229b669b029e","resolution":{"observed_at":"2026-08-07T14:49:48.833831Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.17222","last_updated":"2022-10-31T11:03:03Z","snapshot_observed_at":"2026-07-06T14:12:29.636948Z","submitted_at":"2022-10-31T11:03:03Z","title":"Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection","version":1},"cited_work":{"arxiv_id":"2210.17222","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.17222","snapshot_observed_at":"2026-08-07T14:49:48.626247Z","title":"Combining Automatic Speaker Verification and Prosody Analysis for Synthetic Speech Detection","venue":"cs.SD","work_id":"22fedbff-a69a-4fac-be5a-82e97ff44d18","year":2022},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:43.484030Z"},"links":{"cited_paper":"/paper/2210.17222","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:0e1340932c9c44bab105259a4b5063e23835c94f9535d1b4040476bed637371b","observation_id":"13ff13b0-2c08-440c-a3f0-c65dda233dab","resolution":{"observed_at":"2026-08-07T14:49:48.691609Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T14:49:43.625026Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:43.625026Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:d0618496cd76b5f67f1a41e9dda1bf158735604c5b5e1a87befb5b4d919b562f","observation_id":"3fafcc52-a3e3-4e72-b733-7607d21cd30b","resolution":{"observed_at":"2026-08-07T14:49:43.625026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1803.11175","last_updated":"2018-04-12T17:03:44Z","snapshot_observed_at":"2026-07-06T06:30:55.970076Z","submitted_at":"2018-03-29T17:43:03Z","title":"Universal Sentence Encoder","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.11175","snapshot_observed_at":"2026-08-07T14:49:43.738323Z","title":"John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, and Ray Kurzweil","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:43.738323Z"},"links":{"cited_paper":"/paper/1803.11175","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:53d9ccb92e824ccaa98a2decf7d589b3ce6c769d07bb781dfd0a82a0350e3583","observation_id":"a54abb57-5f24-499f-8ea7-26cf1eebab8f","resolution":{"observed_at":"2026-08-07T14:49:43.738323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06885","last_updated":"2025-05-20T15:53:10Z","snapshot_observed_at":"2026-08-01T23:52:25.071174Z","submitted_at":"2024-10-09T13:46:34Z","title":"F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06885","snapshot_observed_at":"2026-08-07T14:49:43.905552Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:43.905552Z"},"links":{"cited_paper":"/paper/2410.06885","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:07616aeb825f33653ab8e54421442b9562a01089186c1ad2f27bce195af6c364","observation_id":"208de3b7-7c18-47ed-aab6-ce39db4f65a9","resolution":{"observed_at":"2026-08-07T14:49:43.905552Z","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":"2026-08-07T14:49:49.262930Z","title":null,"venue":null,"work_id":"09115e29-d9bb-41f2-b39a-7bdb03c85953","year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:44.182230Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:c2a8950fee7c478e6f4b94c5e61d7676a165abad59a02f7ee7de13762c0c9004","observation_id":"28fa8e13-1e58-4a4e-b3c9-5e14b15408fb","resolution":{"observed_at":"2026-08-07T14:49:49.339139Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-07T14:49:44.785894Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:44.785894Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:c79bafa200cd52757a5d9ffa02a696577f50d40d3be7a2e59d709498d93ec9a2","observation_id":"b0ae0fd9-e672-4f71-86d7-233e226356f6","resolution":{"observed_at":"2026-08-07T14:49:44.785894Z","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":"2026-08-07T14:49:44.866721Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:44.866721Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:8ad05402cead2361376fd1b445df7cf9b7c21cbe0145907b26b2ebe53af793e2","observation_id":"d9b6e1d2-b797-4b87-97f9-1225c5845652","resolution":{"observed_at":"2026-08-07T14:49:44.866721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11932","last_updated":"2020-04-08T23:10:10Z","snapshot_observed_at":"2026-07-06T08:10:40.079646Z","submitted_at":"2019-07-27T15:07:04Z","title":"Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11932","snapshot_observed_at":"2026-08-07T14:49:44.970372Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:44.970372Z"},"links":{"cited_paper":"/paper/1907.11932","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:27f7a4bd55fe9706b1a1673ec865f8c78d70e8bcbe2dbb336a71581fcb623d0e","observation_id":"1be32953-98fd-4ec6-8384-2df847e1e0a8","resolution":{"observed_at":"2026-08-07T14:49:44.970372Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.01200","last_updated":"2021-10-04T05:48:25Z","snapshot_observed_at":"2026-07-06T11:53:59.050252Z","submitted_at":"2021-10-04T05:48:25Z","title":"AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.01200","snapshot_observed_at":"2026-08-07T14:49:45.097267Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.097267Z"},"links":{"cited_paper":"/paper/2110.01200","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:92bf439568f209e91890b844c20a891542b032eda334b5933205207e433409b0","observation_id":"73b56a6f-251a-42c5-9f75-25a0fe0c935e","resolution":{"observed_at":"2026-08-07T14:49:45.097267Z","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":"2026-08-07T14:49:45.258530Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.258530Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:b5ccfc8253a70640213a13c1727fd496b15994a87811ee114c01a1fe562a38cc","observation_id":"4714ed9b-e871-4e58-8bcc-448c2b447c48","resolution":{"observed_at":"2026-08-07T14:49:45.258530Z","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":"2026-08-07T14:49:45.349694Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.349694Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:6c58400f7ba746e6f61370400b0b71d30d7ca3965707d1975650724be59d6f11","observation_id":"0e966f09-e71a-44f5-9ecf-4edb4da65a8c","resolution":{"observed_at":"2026-08-07T14:49:45.349694Z","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":"2026-08-07T14:49:49.092633Z","title":null,"venue":null,"work_id":"b2280240-623d-4bdc-89f7-698de38bb366","year":2018},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.484178Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:0ea4e3fc02b2c27a44118bd2bc113ddd00920ee94eca827934c95ebb617d8dff","observation_id":"e2ba3a54-ff1c-4aeb-a1b5-545b1f5cdc07","resolution":{"observed_at":"2026-08-07T14:49:49.171077Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06403","last_updated":"2024-06-10T15:56:52Z","snapshot_observed_at":"2026-08-09T05:16:39.104165Z","submitted_at":"2024-06-10T15:56:52Z","title":"Meta Learning Text-to-Speech Synthesis in over 7000 Languages","version":1},"cited_work":{"arxiv_id":"2406.06403","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.06403","snapshot_observed_at":"2026-08-07T14:49:48.330707Z","title":"Meta Learning Text-to-Speech Synthesis in over 7000 Languages","venue":"cs.CL","work_id":"d508bd15-da34-494c-b357-b01296d24b8e","year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.643539Z"},"links":{"cited_paper":"/paper/2406.06403","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:11eacb75734c2f6ebfb003fa98c396af05db1be2ff1cc4eeae1e18585c0c9899","observation_id":"181b4e5e-a954-4c12-b10f-d8fec3aee22f","resolution":{"observed_at":"2026-08-07T14:49:48.411577Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T14:49:45.743950Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.743950Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:75964664ec7781bee4b31e862568ee47e5378aac63da59115dcc47d670a28da7","observation_id":"5126272d-91c6-4268-a46d-143782c4b8bb","resolution":{"observed_at":"2026-08-07T14:49:45.743950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.11800","last_updated":"2023-08-22T21:49:38Z","snapshot_observed_at":"2026-07-06T16:09:16.990194Z","submitted_at":"2023-08-22T21:49:38Z","title":"Complex-valued neural networks for voice anti-spoofing","version":1},"cited_work":{"arxiv_id":"2308.11800","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.11800","snapshot_observed_at":"2026-08-07T14:49:48.151848Z","title":"Complex-valued neural networks for voice anti-spoofing","venue":"cs.SD","work_id":"ba5b4352-c9f0-43cf-9a69-e0f64fff25c9","year":2023},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:45.881376Z"},"links":{"cited_paper":"/paper/2308.11800","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:5aa3b2b5ef6572c445ce6cfeef1eb7561ce536c39f598e37df3c908823041c38","observation_id":"e3b0ee03-8ca6-442e-b87a-e5e3f7c2edaf","resolution":{"observed_at":"2026-08-07T14:49:48.239081Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T14:49:46.005044Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.005044Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:cff5cec9c0413b0ccfe153e62c4eef43b110b480bb8d6ab40c98faaa848e9dff","observation_id":"8f9d4fb7-9363-449e-b945-6402b39825e4","resolution":{"observed_at":"2026-08-07T14:49:46.005044Z","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":"2026-08-07T14:49:46.169285Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.169285Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:6144c114cacb0c8c79aaebfa40bcfcff59238567a886dcbfcf67324328c26707","observation_id":"3e66125d-8065-4395-801e-7ecefb9d2510","resolution":{"observed_at":"2026-08-07T14:49:46.169285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.05625","last_updated":"2020-10-12T11:51:08Z","snapshot_observed_at":"2026-08-02T15:18:31.211522Z","submitted_at":"2020-10-12T11:51:08Z","title":"Post-Training BatchNorm Recalibration","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.05625","snapshot_observed_at":"2026-08-07T14:49:46.285112Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.285112Z"},"links":{"cited_paper":"/paper/2010.05625","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:dc3e0197e50438e4ca5f8e1686ce9beb182f1a7da346988f30474f6b39af0ea3","observation_id":"77af73f3-9196-475b-aefe-b1cd052a36ea","resolution":{"observed_at":"2026-08-07T14:49:46.285112Z","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":"2026-08-07T14:49:48.932277Z","title":null,"venue":null,"work_id":"37831717-62a6-433e-891d-3e7e923becb1","year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.392390Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:d063f10efe81ec939d39c9e1b89b736a074f6b1f80261ccc3b3f5fa4a5aa78c9","observation_id":"6e69e34d-2830-4aa7-8e16-de4ba963aee2","resolution":{"observed_at":"2026-08-07T14:49:48.984780Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.01108","last_updated":"2021-12-16T16:04:45Z","snapshot_observed_at":"2026-07-06T10:10:59.347937Z","submitted_at":"2020-11-02T16:40:52Z","title":"End-to-end anti-spoofing with RawNet2","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.01108","snapshot_observed_at":"2026-08-07T14:49:46.488118Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.488118Z"},"links":{"cited_paper":"/paper/2011.01108","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:3703c6ccdda06cb11cebe506bdc019d9d1602c45229c011635843eeebbc33365","observation_id":"fff8c8e7-9cdb-4391-b4f2-803ec38f252a","resolution":{"observed_at":"2026-08-07T14:49:46.488118Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.12233","last_updated":"2022-02-28T11:50:57Z","snapshot_observed_at":"2026-07-06T12:41:22.635071Z","submitted_at":"2022-02-24T17:55:00Z","title":"Automatic speaker verification spoofing and deepfake detection using wav2vec 2.0 and data augmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.12233","snapshot_observed_at":"2026-08-07T14:49:46.638154Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.638154Z"},"links":{"cited_paper":"/paper/2202.12233","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:b512e3070c1e39ed7e099aa90620ba10a2d446e266e24ba36420874c9862fc09","observation_id":"0b701762-dcb8-43bb-b429-c62676cf8218","resolution":{"observed_at":"2026-08-07T14:49:46.638154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05139","last_updated":"2025-02-07T18:15:57Z","snapshot_observed_at":"2026-07-06T20:33:01.960703Z","submitted_at":"2025-02-07T18:15:57Z","title":"Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05139","snapshot_observed_at":"2026-08-07T14:49:46.766401Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.766401Z"},"links":{"cited_paper":"/paper/2502.05139","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:828da05ac8184af1dbd69e89cce0e45d48af14130a7abc834fee361cbddbcdd2","observation_id":"45d9138a-00a5-45c7-98cc-101ffc59524f","resolution":{"observed_at":"2026-08-07T14:49:46.766401Z","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":"2026-08-07T14:49:46.864823Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:46.864823Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:11de6e7638884b030695a400d9a82ef87052bc432c1896f09a9f5288760d9bee","observation_id":"1402ae28-032b-4bc8-849d-480540aed79a","resolution":{"observed_at":"2026-08-07T14:49:46.864823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2003.03065","last_updated":"2020-03-06T08:08:54Z","snapshot_observed_at":"2026-08-08T15:47:06.407953Z","submitted_at":"2020-03-06T08:08:54Z","title":"Defense against adversarial attacks on spoofing countermeasures of ASV","version":1},"cited_work":{"arxiv_id":"2003.03065","doi":null,"metadata_source":"pith","pith_arxiv_id":"2003.03065","snapshot_observed_at":"2026-08-07T14:49:47.836954Z","title":"Defense against adversarial attacks on spoofing countermeasures of ASV","venue":"eess.AS","work_id":"5f61d125-0846-49dd-8a89-9042e71a4267","year":2020},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.025553Z"},"links":{"cited_paper":"/paper/2003.03065","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:83618d47a4234369bece4c85af9e02d5d853c75a112180563c84c40ed63aeeca","observation_id":"7639d229-db66-4668-bf10-1d85653fb72d","resolution":{"observed_at":"2026-08-07T14:49:47.931626Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15854","last_updated":"2024-04-24T13:10:35Z","snapshot_observed_at":"2026-07-06T18:04:59.085403Z","submitted_at":"2024-04-24T13:10:35Z","title":"CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15854","snapshot_observed_at":"2026-08-07T14:49:47.147064Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.147064Z"},"links":{"cited_paper":"/paper/2404.15854","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:a31cc0fd780e166ec1dc253c31cc8decc9620dd63877d922c033754e99befde1","observation_id":"6b010ea8-17a3-42fc-a298-01df19d1849d","resolution":{"observed_at":"2026-08-07T14:49:47.147064Z","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":"2026-08-07T14:49:47.244059Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.244059Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:237f5f32e5ea8a810a4b57f9ced440b274cbaac8c77d0146866e8f569ca60b40","observation_id":"eaef0f6c-c30a-4c0d-a9a1-ef0a808525c3","resolution":{"observed_at":"2026-08-07T14:49:47.244059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06348","last_updated":"2024-09-10T09:07:12Z","snapshot_observed_at":"2026-08-06T20:07:49.271304Z","submitted_at":"2024-09-10T09:07:12Z","title":"VoiceWukong: Benchmarking Deepfake Voice Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.06348","snapshot_observed_at":"2026-08-07T14:49:47.317790Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.317790Z"},"links":{"cited_paper":"/paper/2409.06348","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:7f24a68db92f86a70aeb0fe2c40aeeaa35ac0012baa7c21adb9338aa0bd92c81","observation_id":"3b303f7c-bc44-4713-acb2-6962b82ca224","resolution":{"observed_at":"2026-08-07T14:49:47.317790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03067","last_updated":"2022-07-04T16:36:54Z","snapshot_observed_at":"2026-08-05T23:55:15.838693Z","submitted_at":"2022-04-06T20:03:38Z","title":"ByT5 model for massively multilingual grapheme-to-phoneme conversion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03067","snapshot_observed_at":"2026-08-07T14:49:47.428543Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.428543Z"},"links":{"cited_paper":"/paper/2204.03067","citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:3a2971044e4d88223916b72e55c605cb655644e4e242615e7fb2c41840d25c2c","observation_id":"c497e06a-8009-4f63-a16e-29e8494a4551","resolution":{"observed_at":"2026-08-07T14:49:47.428543Z","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":"2026-08-07T14:49:47.552916Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.552916Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:120b55295847d18b3068c0b0dc5a043595ba6b33577d458efe5bfcdddf1e508c","observation_id":"157c7a1d-07fb-438b-a61c-d851196c942e","resolution":{"observed_at":"2026-08-07T14:49:47.552916Z","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":"2026-08-07T14:49:47.656755Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T14:49:47.656755Z"},"links":{"citing_paper":"/paper/2505.17513"},"observation_digest":"sha256:40a93067ae92eada6409bbb0388815de13e0473fb5a47f4358d4f5e8eb5253fc","observation_id":"1d00c673-0d37-4ba8-9d0d-6f90468b4503","resolution":{"observed_at":"2026-08-07T14:49:47.656755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.17513","last_updated":"2025-05-23T06:06:37Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T06:15:32.262258Z","submitted_at":"2025-05-23T06:06:37Z","title":"What You Read Isn't What You Hear: Linguistic Sensitivity in Deepfake Speech Detection"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":26,"verified_exact":4,"verified_fuzzy":0},"total_outbound_references":31},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2505.17513."}