{"as_of":"2026-08-11T18:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d5986d6dff0adb7e84fae64a0522dcf09b174eb0f85c7d81641b182e70a73f4","coverage":[{"denominator":39,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":39,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T13:15:41.479627Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2501.16453/citation-record","integrity":"/paper/2501.16453/integrity","json":"/paper/2501.16453/citation-record.json","paper":"/paper/2501.16453"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T13:16:12.109540Z","title":"SANS Industrial Control Systems Security Blog 207 (2016) 16","venue":null,"work_id":"47c09a19-e685-4139-822a-fc09b220d817","year":2016},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.320319Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:456075a1f7045913b90fef9933e0ab1d93ccec1648bf5babd4e906e3b9381292","observation_id":"6a622fec-0545-4629-8ebf-a1447c05e8e7","resolution":{"observed_at":"2026-08-10T13:16:12.116211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.098310Z","title":"Electricity Information Sharing and Analysis Center (E-ISAC) 388(1-29), 3 (2016)","venue":null,"work_id":"f5eb372a-5a2c-4ba6-994b-82e8a9e535c8","year":2016},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.324854Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:b796a89284b37c1b177a56dfbe179223e8f9e4ff32799b156ff3b38b4c8c4f25","observation_id":"1b48015d-9830-46fd-8018-d457e8bfb321","resolution":{"observed_at":"2026-08-10T13:16:12.101971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.086477Z","title":"http://www.statista.com/statistics/680953/global-malwarevolume/","venue":null,"work_id":"d9fd0d4a-7aa2-4297-a01e-e21139eb62fe","year":2020},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.328952Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:168001a78726773baec771d379a7a2a34e34d9c0fba73802db7e3758e86402d9","observation_id":"87cd6a84-381d-4192-96e4-ff5df7ae1a88","resolution":{"observed_at":"2026-08-10T13:16:12.090444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.075020Z","title":"In: 2017 IEEE International Conference on Smart Grid Communications (SmartGridComm), pp","venue":null,"work_id":"6894d230-19a2-4fe4-83ee-6ff8ca467366","year":2017},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.334704Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:3d3b191d8907e132bd1d0ae540e9e26f23bfcf3ec7a1610067fccf6435f2ffd2","observation_id":"a988eb07-2968-47f7-9304-e2c774b88d4e","resolution":{"observed_at":"2026-08-10T13:16:12.078842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.062826Z","title":"IEEE Communications Magazine 61(6), 28–34 (2023)","venue":null,"work_id":"b3e8f1ac-398d-4f63-b0e2-f8eee5fcd11d","year":2023},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.338894Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:4f1ef22f8193eb962f258a54cda1ef955555e31aa900c9261c2a062c1552c8ea","observation_id":"5a73da1d-7f0d-4795-ab4a-00c13fae2076","resolution":{"observed_at":"2026-08-10T13:16:12.067491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:15:41.343119Z","title":"In: 2024 IEEE Power & Energy Society General Meeting (PESGM), pp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.343119Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:0917c269b7e34ff45693136d15320765590a5b3c3cb1679803bcd7af0fdc400d","observation_id":"00f4d9cc-c6bb-4444-a2eb-b5ede7214a35","resolution":{"observed_at":"2026-08-10T13:15:41.343119Z","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":"2026-08-10T13:16:12.047659Z","title":"In: 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), pp","venue":null,"work_id":"171ea1d3-dfc3-4032-ba02-6868440b00c0","year":2012},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.346992Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:5893c0b03bc146a5f1e587777b44a9f7e753e1a289e9c70437c68ce783a80018","observation_id":"2d202847-5ca0-4e55-b4f7-685e95c709c2","resolution":{"observed_at":"2026-08-10T13:16:12.052461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.035581Z","title":"IEC Std 61850 (2013)","venue":null,"work_id":"7a494a0c-9ba6-4511-a5dc-ee59080203a7","year":2013},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.350823Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:d425b7448e7e2b8c41a047a329cff13257baa38ba4cb98a6678abc9c24742da1","observation_id":"515cfe04-0adf-46aa-a9bb-bad2478d0fcb","resolution":{"observed_at":"2026-08-10T13:16:12.039122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.023719Z","title":"Journal of Electrical Systems and Information Technology 5(3), 468–483 (2018)","venue":null,"work_id":"4088753b-cb7b-4440-9bef-e28cbb2c0911","year":2018},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.354457Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:37eebc0da8e919bbf3ad4a69bfee91461328ea74cdb9c4247fa242d679374ca9","observation_id":"71c74758-e308-4f94-8b71-17fb82ed314c","resolution":{"observed_at":"2026-08-10T13:16:12.027966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:12.010486Z","title":"IEEE Transactions on Smart Grid 5(4), 1643–1653 (2014)","venue":null,"work_id":"db4ed179-a710-47ee-a833-7cb4fce98fe9","year":2014},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.358338Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:f1284ff7eb50054afe24ebdd1b09772085eca826b4ca0810eb9e9307a461ac8f","observation_id":"e3f5f49e-c9f9-481c-ba99-8ec7e1158d89","resolution":{"observed_at":"2026-08-10T13:16:12.014861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.997952Z","title":"ACM Transactions on Cyber-Physical Systems 7(2), 1–31 (2023)","venue":null,"work_id":"3a96828b-11ed-4fa2-9ce5-4c1a8234161a","year":2023},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.362409Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:4254f78354ce98ce0c7ba064a1fa03ec573aa404d8d70ced23266971378b0472","observation_id":"0a3ebfbb-d022-438c-9129-c1489a24c398","resolution":{"observed_at":"2026-08-10T13:16:12.002240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07419","last_updated":"2024-11-11T22:45:38Z","snapshot_observed_at":"2026-07-06T19:48:44.991187Z","submitted_at":"2024-11-11T22:45:38Z","title":"Machine Learning Based Cyber System Restoration for IEC 61850 Based Digital Substations","version":1},"cited_work":{"arxiv_id":"2411.07419","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.07419","snapshot_observed_at":"2026-08-10T13:15:56.690323Z","title":"Machine Learning Based Cyber System Restoration for IEC 61850 Based Digital Substations","venue":"eess.SY","work_id":"6e61b1ae-4f85-47c1-82b7-65913097daa3","year":2024},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.367463Z"},"links":{"cited_paper":"/paper/2411.07419","citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:12d85245dfdf020e015f9744177bc09e0bf76215713c7d8dee4e042f088e6db9","observation_id":"38b951f5-d551-48a2-8313-28ca25bae43c","resolution":{"observed_at":"2026-08-10T13:15:56.694246Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.986248Z","title":"In: ISGT 2014, pp","venue":null,"work_id":"476bfb21-6cbf-429c-bff2-94b62f9b006c","year":2014},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.371688Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:cb8768067f729b7b0fe475f548855ba44f32ec8f1c7879bcbb7b0b091ddc7d9a","observation_id":"48db19b5-f9fa-4038-947c-a83b39eb2bc5","resolution":{"observed_at":"2026-08-10T13:16:11.990151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.975519Z","title":"In: 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe) (2020)","venue":null,"work_id":"cbdac4f3-d562-4d91-92d6-0b9fc660c389","year":2020},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.375087Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:276cf285b33fc8dc5de9c44aa1e1d55f7989a38806f1e10f4eda0c8f2ec60da1","observation_id":"11331f17-a454-4f47-8e66-aa37ebe9f170","resolution":{"observed_at":"2026-08-10T13:16:11.978905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.965815Z","title":"In: 2016 IEEE Power and Energy Society General Meeting (PESGM), pp","venue":null,"work_id":"af0c8b67-f31a-4466-b1a5-a7215087682d","year":2016},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.378770Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:404c2bac249ac9928c27226a22376b2accec78efbdfcdf86d9f080f95516d7ec","observation_id":"18548adf-a88a-44d3-a695-4138104b6514","resolution":{"observed_at":"2026-08-10T13:16:11.969140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.956779Z","title":"Energies 12(19), 3731 (2019)","venue":null,"work_id":"d898dc47-38ba-444b-a54a-d13fd7ebd258","year":2019},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.382142Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:02bc80e7186479af23fdd362d8290b325772a4833b9881a10d6f151126ca52c0","observation_id":"06a29a1b-118f-46a5-ade5-3b0b417850cb","resolution":{"observed_at":"2026-08-10T13:16:11.960007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.946220Z","title":"Ieee Access 9, 56486– 56495 (2021)","venue":null,"work_id":"8f461d55-2126-484f-9c5b-ceaaa3955bb9","year":2021},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.385510Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:11f641a22b8c502a0e6cfacce1bb56e29f164ac8da02abcc5881beb5971f7b5f","observation_id":"26ad529a-7b0c-4dc9-9d55-1e1c0d5c490d","resolution":{"observed_at":"2026-08-10T13:16:11.949864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.933587Z","title":"Advances in neural information processing systems 30 (2017)","venue":null,"work_id":"6c4c4238-b166-4499-8446-92c929c934f2","year":2017},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.389185Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:3a973f1bf4a2ae2155dbc23ed8605c7fce4ff98329fbc35fdb79530ca5b90dd2","observation_id":"c88300d0-d68d-4ee5-ab37-3b76f598e260","resolution":{"observed_at":"2026-08-10T13:16:11.937810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-10T13:15:41.392775Z","title":"arXiv preprint arXiv:2005.14165 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.392775Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:ec9770a62bf51c55b2728c76f2fa93334a434827ac273d7166d0f768efb71df6","observation_id":"4227b195-db38-4f42-a277-cecd4d569e27","resolution":{"observed_at":"2026-08-10T13:15:41.392775Z","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":"2026-08-10T13:16:11.922223Z","title":"In: 2024 IEEE International Confer- ence on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp","venue":null,"work_id":"a546f71a-0180-401c-9786-527bfe86ee0b","year":2024},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.402074Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:1e974bb63ac62c63a4a60e58ecded217f2198386f0b8ae42875015d05ad6aff8","observation_id":"28e67287-6a70-463f-87e8-25dc8942912b","resolution":{"observed_at":"2026-08-10T13:16:11.926453Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.911388Z","title":"Journal of Big data 3, 1–40 (2016)","venue":null,"work_id":"40c94e03-b287-4e5a-bec9-520fa138d83e","year":2016},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.405484Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:697b440d4b20254d90db5575c2f3554bfebebb4dad9e1045ebb57878c745dfb5","observation_id":"63764e14-31d1-448f-98f3-651a3a9d7641","resolution":{"observed_at":"2026-08-10T13:16:11.915594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.11334","last_updated":"2024-01-23T07:36:33Z","snapshot_observed_at":"2026-08-09T19:23:41.731633Z","submitted_at":"2021-10-21T17:59:41Z","title":"Generalized Out-of-Distribution Detection: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.11334","snapshot_observed_at":"2026-08-10T13:15:41.409162Z","title":"arXiv preprint arXiv:2110.11334 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.409162Z"},"links":{"cited_paper":"/paper/2110.11334","citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:7d30f8aaaee826ed04920e69e012c2dde7b145947ca59366553f5de38101c8d9","observation_id":"69a2493f-c7af-4b0a-8b9a-5ae656010093","resolution":{"observed_at":"2026-08-10T13:15:41.409162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02989","last_updated":"2024-05-05T16:24:30Z","snapshot_observed_at":"2026-07-06T18:10:03.525924Z","submitted_at":"2024-05-05T16:24:30Z","title":"Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS","version":1},"cited_work":{"arxiv_id":"2405.02989","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.02989","snapshot_observed_at":"2026-08-10T13:15:56.640301Z","title":"Defense against Joint Poison and Evasion Attacks: A Case Study of DERMS","venue":"cs.CR","work_id":"1fe12ae5-23ed-4da7-9f4b-4acf8332671d","year":2024},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.413244Z"},"links":{"cited_paper":"/paper/2405.02989","citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:7a6d00d86bd7d6cf8033112b55183cd1544441102a20fd5b64da4af9aaa5bf09","observation_id":"5e63f44f-ea85-4afe-8047-dc4b00be1d1d","resolution":{"observed_at":"2026-08-10T13:15:56.646882Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.900016Z","title":"In: The Eleventh International Conference on Learning Representations (2022)","venue":null,"work_id":"b822491f-b5a5-45e5-87c4-0332f3b33ac3","year":2022},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.417219Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:51344bc7a10b60b4ba69f1c94f4cc3eb8c700facfc6cf15073c6fa16f5ff427b","observation_id":"1706abee-caa9-4eae-af5d-4d07a1ff6086","resolution":{"observed_at":"2026-08-10T13:16:11.904426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:15:41.421774Z","title":"In: 2024 IEEE Interna- tional Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), pp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.421774Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:e3618c24600b6dd8ede8a7db6a68f16c27c5e7428c964ea9724cc901a291d309","observation_id":"e1b5ea87-3ed7-43b4-8157-8cc88771538f","resolution":{"observed_at":"2026-08-10T13:15:41.421774Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-10T13:16:11.888596Z","title":"In: Matni, N., Morari, M., Pappas, G.J","venue":null,"work_id":"eb70dbca-8ee6-431a-8b6b-5b028d4df87a","year":2023},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.425318Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:8832163a1cc8630561e21f21c1bae97c1099a4c3f313f46938434eba4b1c1033","observation_id":"8a1d5a24-d242-48ec-9701-e62f390b59c9","resolution":{"observed_at":"2026-08-10T13:16:11.892385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.878204Z","title":"National Science Review 5(1), 30–43 (2018)","venue":null,"work_id":"53c31d57-fe90-48a7-966b-6bf4287d2a3d","year":2018},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.429520Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:c211dca845cbe8eca17c5218b51cd574002190cebaec2bcc653d6019a5fed25d","observation_id":"2de743ef-482a-4b5d-8b0a-68e7b3a47332","resolution":{"observed_at":"2026-08-10T13:16:11.881831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.866603Z","title":"IEEE Transactions on Dependable and Secure Computing (2023)","venue":null,"work_id":"652f08a6-4cc8-4e98-95eb-cbe55e73179a","year":2023},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.432894Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:0463c3718fb7533379b7a11bb346da56a5256ee40ba5fa08e410aa57d8cbbf2c","observation_id":"36cc6d41-720f-4d25-861a-dc0e57322f88","resolution":{"observed_at":"2026-08-10T13:16:11.870409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.854616Z","title":"OpenAI blog 1(8), 9 (2019)","venue":null,"work_id":"daf6f04f-a8fa-45a5-9f1f-a5acb9d67061","year":2019},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.436376Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:9afc9d60fee59ce29ed7857dc73c34b6ecadfdc42767da1f25ff2e3721c53291","observation_id":"7f5d5947-6cb1-4688-aa93-3d761ad40414","resolution":{"observed_at":"2026-08-10T13:16:11.859411Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.843334Z","title":null,"venue":null,"work_id":"c92a4668-2146-47ad-a036-963f90539049","year":2010},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.440738Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:04601609c600d7aad0109b140bffe21812f51f8eea0a114384eafb426be8a7b8","observation_id":"f42cf975-098e-4379-b7db-78ed224fce22","resolution":{"observed_at":"2026-08-10T13:16:11.847277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.831666Z","title":"Advances in Neural Information Processing Systems 36 (2024)","venue":null,"work_id":"98343ad0-ea16-4b0a-82e4-a73c344294d6","year":2024},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.445491Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:60d40c3e64c052412ce3fda16c5d89504d9f36ac7657129ed64bce5b96c217ce","observation_id":"bde5b499-347d-420a-b3ec-2282633abe67","resolution":{"observed_at":"2026-08-10T13:16:11.836151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.15943","last_updated":"2022-05-03T10:36:39Z","snapshot_observed_at":"2026-08-11T15:08:04.291216Z","submitted_at":"2021-10-29T17:42:08Z","title":"MetaICL: Learning to Learn In Context","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.15943","snapshot_observed_at":"2026-08-10T13:15:41.448866Z","title":"arXiv preprint arXiv:2110.15943 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.448866Z"},"links":{"cited_paper":"/paper/2110.15943","citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:caf8af2bc12c811ba3cf9d22f67184d96f76e1acb66953d0b33235b435989c8a","observation_id":"76393ee4-0d3a-427a-8b3a-a0bd3810b14b","resolution":{"observed_at":"2026-08-10T13:15:41.448866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.06800","last_updated":"2023-06-24T15:49:31Z","snapshot_observed_at":"2026-07-06T14:30:12.658809Z","submitted_at":"2022-12-13T18:34:15Z","title":"Diverse Demonstrations Improve In-context Compositional Generalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.06800","snapshot_observed_at":"2026-08-10T13:15:41.452386Z","title":"https://arxiv.org/abs/2212.06800","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.452386Z"},"links":{"cited_paper":"/paper/2212.06800","citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:4cee49a69945f99d7219ee88cced4673569fdbb203920244495eceaa88ee118d","observation_id":"b44d27c6-37d5-4b76-829c-b1bca1f74dd9","resolution":{"observed_at":"2026-08-10T13:15:41.452386Z","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":"2026-08-10T13:16:11.819743Z","title":null,"venue":null,"work_id":"f27fccac-6684-4141-84cf-4b25e581a4f3","year":2018},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.456210Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:536c28b36802226ea9ec9bbb84db0457054de1f0b94c77df0273cc3060fd1dd4","observation_id":"9df85106-59ac-4533-bdba-2daabf890db1","resolution":{"observed_at":"2026-08-10T13:16:11.823935Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.808512Z","title":"Advances in Neural Information Processing Systems 35, 18878– 18891 (2022)","venue":null,"work_id":"fabf06e5-ee66-42b0-b25a-7f0a51828305","year":2022},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.460316Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:c0ec0a89f1b34ac22575caf5e0d64caca20352a40315908fe8e929a481fd9bc6","observation_id":"89e9c4ae-7f89-45a4-8755-e8881029d3f2","resolution":{"observed_at":"2026-08-10T13:16:11.812168Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.794394Z","title":"Sensors 21(4), 1554 (2021) Nomenclature Model Parameters and Dimensions: I Number of training samples used to train the transformer model","venue":null,"work_id":"3fdd89d1-9df4-446e-b4be-c2a5f907ffe2","year":2021},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.465980Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:547712a209d93518a0e0b7b7037788319b56ecf5d65a48fe568bb5bc756e8ab8","observation_id":"e2392020-5cf9-4900-b73a-f296e5fe26c8","resolution":{"observed_at":"2026-08-10T13:16:11.799356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.779645Z","title":"Each prediction depends only on past observa- tions, naturally aligning with the temporal ordering of packet streams in digital substations","venue":null,"work_id":"c34f7f18-5ec4-4ff7-83c6-6a7acb6154f6","year":null},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.471011Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:a1629265a9a4c01e512a82cbca516bfc0c558763dcaef3f3da11366daea37332","observation_id":"c84929c8-551c-4a40-a912-ff5e0b432c45","resolution":{"observed_at":"2026-08-10T13:16:11.784095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.765107Z","title":"This facilitates handling variable-length input sequences without architectural changes, crucial for evolving network traffic patterns","venue":null,"work_id":"ec49db37-6191-4887-b3f7-ddb869172497","year":null},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.475482Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:7ae2bf3a4fac8398cae14c4033bcfcc42d9117b861d306f4a23b58d8fe64fe03","observation_id":"c472ec7b-7fbf-4257-b3e7-f1c29981a777","resolution":{"observed_at":"2026-08-10T13:16:11.769512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-10T13:16:11.751922Z","title":"By omitting an encoder stage, the model can efficiently process real-time data while preserving strong pattern- recognition capabilities","venue":null,"work_id":"45429e50-8e25-4755-9129-9f31708d17a9","year":null},"citing_paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T13:15:41.479627Z"},"links":{"citing_paper":"/paper/2501.16453"},"observation_digest":"sha256:423900c7378c44232af2b0ff0b0a3a8e6a5f1844f3930436952db2f6292730b2","observation_id":"18abbcb7-d050-484c-b77c-4015f5f0fea7","resolution":{"observed_at":"2026-08-10T13:16:11.756353Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.16453","last_updated":"2025-01-27T19:24:00Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T13:08:27.688804Z","submitted_at":"2025-01-27T19:24:00Z","title":"Detecting Zero-Day Attacks in Digital Substations via In-Context Learning"},"reference_resolution":{"displayed":39,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":39},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2501.16453."}