{"as_of":"2026-08-23T03:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a0d33b495af36e1119b8cfbfc0ebc9a169d63a0cfc0cf406c5c1431f71a1528","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:46:56.270116Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2411.10367/citation-record","integrity":"/paper/2411.10367/integrity","json":"/paper/2411.10367/citation-record.json","paper":"/paper/2411.10367"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T19:46:56.595715Z","title":"Inertia and the power grid: A guide without the spin,","venue":null,"work_id":"b43b328a-45c3-4bca-9fb3-02f08f0e8d93","year":2020},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.178947Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:83915f3be4a286655e91b2ec8124006ab3f42844ae6519b2695b72a49f43be8f","observation_id":"35869829-cfdd-4021-a2fd-20be314a7fec","resolution":{"observed_at":"2026-08-12T19:46:56.600724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.579650Z","title":"Virtual Inertia: Current Trends and Future Directions,","venue":null,"work_id":"21a1a7f3-5662-4a6e-850d-59e79778032b","year":2017},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.184969Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:5a1a778f1a6ab8c68eb8ad83b8b37207ac645c881b7bd4036516ee89a265a219","observation_id":"dc8b652a-adad-4a40-8c62-1905b8dde6ef","resolution":{"observed_at":"2026-08-12T19:46:56.584951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.562518Z","title":"Electric power grid resilience to cyber adversaries,","venue":null,"work_id":"7f815a4a-c453-4003-9b6e-5ffab8f35416","year":2020},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.189621Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:4ea00ad46341be330a674e05e0bb445a7b24c33216829dd9df1fd0e46fb8dfa9","observation_id":"43461a53-4ff3-49b9-b820-f78b4335fb3f","resolution":{"observed_at":"2026-08-12T19:46:56.568025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.546701Z","title":"False data injection attacks against state estimation in electric power grids,","venue":null,"work_id":"ae660b5b-4974-436a-808e-550c186acf5e","year":2011},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.194404Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:d315e4e4daa9d28926b560865225b77515bb64ece69f0489c9d90aa61c2997b6","observation_id":"811dee08-8a08-4398-86cc-599bbc6d7c62","resolution":{"observed_at":"2026-08-12T19:46:56.551927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.531010Z","title":"A survey on the detection algo- rithms for false data injection attacks in smart grids,","venue":null,"work_id":"5f03e2b4-9015-42e4-be4e-f41f23c63696","year":2019},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.199599Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:da0069a3002cfcec8dbe93c55ed428cedf4cfdb8ed1fa5d4fadb23e6a35ed660","observation_id":"38e98766-fb0a-463e-b450-e2fe2d6829b2","resolution":{"observed_at":"2026-08-12T19:46:56.535829Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.04609","last_updated":"2024-09-06T20:47:21Z","snapshot_observed_at":"2026-08-19T05:36:51.504628Z","submitted_at":"2024-09-06T20:47:21Z","title":"Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method","version":1},"cited_work":{"arxiv_id":"2409.04609","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.04609","snapshot_observed_at":"2026-08-12T19:46:56.356899Z","title":"Detection of False Data Injection Attacks (FDIA) on Power Dynamical Systems With a State Prediction Method","venue":"cs.CR","work_id":"9dac5ba1-c2ee-4e3a-83e3-2c31efb2adda","year":2024},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.204584Z"},"links":{"cited_paper":"/paper/2409.04609","citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:90ab1d617559d8083a25ae6bc37265d946880f7b996e0787d1bbe59468fa9de6","observation_id":"ab61dc01-f1e9-42ca-9b3f-0839b2a94202","resolution":{"observed_at":"2026-08-12T19:46:56.364591Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.210292Z","title":"Self-supervised learning of adversarial example: Towards good generalizations for deepfake detection,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.210292Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:4e5b51fea74fceffa5de89d651a1a3626c6b423c8ee02a0e5576f6c1e767c6b3","observation_id":"550ea4d3-7dde-40d7-b9af-4e2e900ecf7d","resolution":{"observed_at":"2026-08-12T19:46:56.210292Z","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":"2026-08-12T19:46:56.503782Z","title":"Discovery of false data injection schemes on frequency controllers with reinforcement learning,","venue":null,"work_id":"495614db-4f7a-488b-831e-2e89183f338a","year":2024},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.214645Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:273534e48cd1eec54a8577829fcb4d11caa24d0d7f92a17f2b17b78bf854b5c9","observation_id":"59a25467-74b7-4ce9-add2-4af117fb66dc","resolution":{"observed_at":"2026-08-12T19:46:56.508770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.487397Z","title":"An adversarial multi-agent reinforcement learning framework for proactive false data injection detection,","venue":null,"work_id":"df80ec81-ed0e-4b11-80ea-a3224bf3f0e3","year":2024},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.219318Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:9ad9a465a5468f3ce06e2cb7bd98b05b987cb8705ba81af080b049d0903b59a5","observation_id":"2082c377-3887-4e4a-a6d7-11d6ef21f541","resolution":{"observed_at":"2026-08-12T19:46:56.492420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.471728Z","title":"Explainability in deep reinforcement learning,","venue":null,"work_id":"200612ff-0176-4894-ab44-23194f21b3d1","year":2021},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.223914Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:4302a3835d4b9c0d000ee50fc2609c8c16e439ea8ae16f6345e80c9783c9a91e","observation_id":"983f4b21-4770-49bc-b6ce-84137569baa9","resolution":{"observed_at":"2026-08-12T19:46:56.476836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.455718Z","title":"Autonomous self- explanation of behavior for interactive reinforcement learning agents,","venue":null,"work_id":"f346b77d-1101-492f-8e4b-b2114e1efad2","year":2017},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.228733Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:4b06723e8c898886a6cca9f7f086e53b511a134ebe22f52b9f8a67333505ecba","observation_id":"2b479083-fd68-4725-9237-d4b6dd37182e","resolution":{"observed_at":"2026-08-12T19:46:56.460848Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.6211","last_updated":"2015-03-04T01:43:31Z","snapshot_observed_at":"2026-08-14T23:50:42.566579Z","submitted_at":"2013-12-21T06:31:41Z","title":"An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.6211","snapshot_observed_at":"2026-08-12T19:46:56.233452Z","title":"An empirical investigation of catastrophic forgetting in gradient-based neural networks,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.233452Z"},"links":{"cited_paper":"/paper/1312.6211","citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:aa41ee375e0fcd8f93842657e9afb9cd0911b23ffcb0f5b59298e65d567a2bb5","observation_id":"caff7d12-4c71-4c57-82ab-c6c9df435caf","resolution":{"observed_at":"2026-08-12T19:46:56.233452Z","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":"2026-08-12T19:46:56.439611Z","title":"Reinforcement learning for optimal primary frequency control: A Lyapunov approach,","venue":null,"work_id":"15b6247a-6f60-40dc-938a-39c302deca38","year":2022},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.238794Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:2a714cc0d1927085c871a93706347c796c9cebef74de62e2de6784e57027c2b9","observation_id":"79d4aa0a-16f2-479d-bdf6-7924393ffcb0","resolution":{"observed_at":"2026-08-12T19:46:56.445073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.243195Z","title":"Overcoming catastrophic forgetting in neural networks,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.243195Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:fe176cf72e9a7657fb0822fc634eb56d89a5922ce3ca7a8b4f80415dfed1beba","observation_id":"74c6dc27-27d9-4584-86f6-7111007c695e","resolution":{"observed_at":"2026-08-12T19:46:56.243195Z","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":"2026-08-12T19:46:56.247432Z","title":"Learning without forgetting,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.247432Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:d42b0d0140d518604e1a5014a42c78c8cccee3497aed8f262f74dfae5710e3d4","observation_id":"94c1618b-3d94-4d65-a7ff-ca8cd27fa9c3","resolution":{"observed_at":"2026-08-12T19:46:56.247432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.04671","last_updated":"2022-10-22T14:34:44Z","snapshot_observed_at":"2026-08-16T23:40:37.342111Z","submitted_at":"2016-06-15T08:20:51Z","title":"Progressive Neural Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.04671","snapshot_observed_at":"2026-08-12T19:46:56.251897Z","title":"Progressive neural networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.251897Z"},"links":{"cited_paper":"/paper/1606.04671","citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:55362cdfd0de5d1c17775e75425eb0625b031699bb904258d7197f87d67310cb","observation_id":"3787ad47-9d96-42cc-bbd3-f53456506d04","resolution":{"observed_at":"2026-08-12T19:46:56.251897Z","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":"2026-08-12T19:46:56.256882Z","title":"Gradient episodic memory for continual learning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.256882Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:ec15a29f0f0574d77ba834afc2ff855c7ceff7280de9d20bbba1c38b854ad101","observation_id":"a35f479b-fbbf-464b-b58a-e303563b6d8d","resolution":{"observed_at":"2026-08-12T19:46:56.256882Z","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":"2026-08-12T19:46:56.393325Z","title":"A practical method for the direct analysis of transient stability,","venue":null,"work_id":"a5f2da03-2b43-47ba-a219-724637f18730","year":1979},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.261486Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:59dcf2fe8cc966ba7d10c72fcecb5ae9c294fc627edb1653e281e9a249cb8ae7","observation_id":"69479c2b-e676-4cc6-8f7e-4276f15b6ce3","resolution":{"observed_at":"2026-08-12T19:46:56.398199Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-12T19:46:56.377702Z","title":"Ray: A distributed framework for emerging AI applications,","venue":null,"work_id":"bd79ebb8-fdcf-4fad-915c-082cda524d78","year":2018},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.265851Z"},"links":{"citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:db1f47a550d1b97df281a03baf08b65bb7a301022c6902a4ab38da84d1414ba0","observation_id":"14319726-c535-4048-87bf-cf7d064dad8f","resolution":{"observed_at":"2026-08-12T19:46:56.382921Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06295","last_updated":"2016-01-07T18:43:03Z","snapshot_observed_at":"2026-08-18T00:03:21.764059Z","submitted_at":"2015-11-19T18:38:47Z","title":"Policy Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1511.06295","snapshot_observed_at":"2026-08-12T19:46:56.270116Z","title":"Policy distillation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T19:46:56.270116Z"},"links":{"cited_paper":"/paper/1511.06295","citing_paper":"/paper/2411.10367"},"observation_digest":"sha256:c138f944c5dd669b4319145802d167c7b92419bd5d543aacb16b9cbf6ff1861f","observation_id":"7d4e8e01-aaf3-4089-b918-9c56113a1918","resolution":{"observed_at":"2026-08-12T19:46:56.270116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2411.10367","last_updated":"2024-11-15T17:17:06Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T16:43:03.574133Z","submitted_at":"2024-11-15T17:17:06Z","title":"Continual Adversarial Reinforcement Learning (CARL) of False Data Injection detection: forgetting and explainability"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":20},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2411.10367."}