{"as_of":"2026-08-13T13:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c057a6a403eab9274b9946891fc28cbe5eaaa0745bd9e4c547d10f8392338a49","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:35:47.457028Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+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/2411.15229/citation-record","integrity":"/paper/2411.15229/integrity","json":"/paper/2411.15229/citation-record.json","paper":"/paper/2411.15229"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T15:35:47.367407Z","title":"{BlackIoT}:{IoT} botnet of high wattage devices can disrupt the power grid,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.367407Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:d6cc97edb6ab6dc751558f773513a4fbe2a7bc827fd36b666ddc81e3d1883cf2","observation_id":"034b4a8a-e8a0-4379-82d9-b710813e10c3","resolution":{"observed_at":"2026-08-12T15:35:47.367407Z","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":"2026-08-12T15:35:47.745680Z","title":"Resilient distributed control against false data injection attacks for demand response,","venue":null,"work_id":"4ccbc2b1-2a1b-41a6-b98d-699a004dfb92","year":2023},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.374678Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:8557d12f813b2cf6e623a31ba681ddfd1ad216d7bb9c57ec3c976d43ed161564","observation_id":"cc2cc33d-f513-4128-a932-35644c4c944e","resolution":{"observed_at":"2026-08-12T15:35:47.751137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.727134Z","title":"{MaDIoT} 2.0: Modern {High-Wattage}{IoT} botnet attacks and defenses,","venue":null,"work_id":"bbfae4ea-b175-403b-a5af-9c443d5661de","year":2022},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.380420Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:6039da752c0adfa8e4b87399ec65fbaaadad63fbb1f6a6e1e525c9a9fbe4fec4","observation_id":"43fdfa43-f1ed-4bf7-84bf-e45ecd1186eb","resolution":{"observed_at":"2026-08-12T15:35:47.732955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.709845Z","title":"Not everything is dark and gloomy: Power grid protections against {IoT} demand attacks,","venue":null,"work_id":"5f64818c-918f-4245-8dc2-1bbd43d9f199","year":2019},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.385674Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:86738898ce741d81eef5f0d2314329066e3e7d034162659d81c21e0fadc9da52","observation_id":"a67f2769-ab33-4b3a-9539-6c4b6c2da901","resolution":{"observed_at":"2026-08-12T15:35:47.714936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.693954Z","title":"Mitsubishi electric air conditioning system,","venue":null,"work_id":"a684c437-e210-4fb9-9670-665864327128","year":2021},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.390669Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:c9bf6015bc2478a0a9eb5458aaaa416fb2bd15f8ce198a856ac222f371927165","observation_id":"21ebf9f3-9eb8-4b24-921f-9b81f6ad82b7","resolution":{"observed_at":"2026-08-12T15:35:47.698732Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.678206Z","title":"Catch me if you learn: Real-time attack detection and mitigation in learning enabled cps,","venue":null,"work_id":"f66940ab-b278-4e45-87c1-0abbec01f45b","year":2021},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.397909Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:0373e478736dea7c804e81db8a751fa652c2f98efa7a0991a727f11b884ea1e5","observation_id":"40268d60-b72c-4358-bc06-a1208f29d8c3","resolution":{"observed_at":"2026-08-12T15:35:47.683091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.660717Z","title":"Optimal false data injection attack against automatic generation control in power grids,","venue":null,"work_id":"aafc7577-84a9-4215-b2ab-9d35a5074877","year":2016},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.403306Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:a9b9ad09cb2f956838267fb7eb08c66fe8550fdef9d451c61efb908048e5103a","observation_id":"f28f6800-7fd3-41e0-8c23-99876b353216","resolution":{"observed_at":"2026-08-12T15:35:47.666456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.642486Z","title":"A multistage game in smart grid security: A reinforcement learning solution,","venue":null,"work_id":"a5763af0-6148-4229-a7a3-e4606d970326","year":2019},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.407819Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:ff260222893969dc3b5a7303b69eac44de5d7c9c7388b5d8d0ea427476dd4b72","observation_id":"d99053eb-dbe9-4adf-bf21-ca48ef6ede84","resolution":{"observed_at":"2026-08-12T15:35:47.649313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.619732Z","title":"A deep learning game theoretic model for defending against large scale smart grid attacks,","venue":null,"work_id":"f5cc11db-9498-4487-afcc-97e8ee7d37be","year":2022},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.412853Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:64bb1079af233cb2c55fe8719f030e7844b1647d04ed271a789730e750eaffe1","observation_id":"cd6bf200-d6d0-405c-8e5b-65e2918a788b","resolution":{"observed_at":"2026-08-12T15:35:47.625335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.601307Z","title":"A nash equilibrium-based moving target defense against stealthy sensor attacks,","venue":null,"work_id":"f6e17a96-71ad-48c1-9511-6e5362d339f5","year":2020},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.419342Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:85878a6d2c08417cc4041a64f4e01adf7e7d9f389947c5fd5b865a4fb31d661b","observation_id":"f20b942b-367c-40f1-b961-dd006a858ff6","resolution":{"observed_at":"2026-08-12T15:35:47.607066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.585484Z","title":"Power system stability,","venue":null,"work_id":"0c2c3a28-d8b1-4fb0-92b3-5bf9ac1cb350","year":2007},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.426063Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:bc45e72d62cd271bafdc57e0aba719b6e57f2d660954a4228e0c00de0930fbce","observation_id":"97ca310a-16e7-4f41-8745-836db5945803","resolution":{"observed_at":"2026-08-12T15:35:47.590286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.568981Z","title":"Targeted attack synthesis for smart grid vulnerability analysis,","venue":null,"work_id":"ad681fed-8cf7-4009-8670-ab4ecfeeff24","year":2023},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.431306Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:f8ae0efce246147aa2ee7c834360473f1b6a962044849e3bc12c377a0aaa9b7c","observation_id":"640d035b-b133-41ed-93a9-6e1d336c789c","resolution":{"observed_at":"2026-08-12T15:35:47.574129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.553007Z","title":null,"venue":null,"work_id":"a3050ab4-8759-458e-bd53-88063907e541","year":2009},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.437172Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:2d8930b518101813d1011e31c40edee4d3417f8fceadc33717624a6dad7edc6f","observation_id":"8d600d3e-ae69-42b6-8585-cfe8ed52dbf0","resolution":{"observed_at":"2026-08-12T15:35:47.557788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.536482Z","title":"Jensen’s inequality for conditional expectations in banach spaces,","venue":null,"work_id":"68824b24-8c3e-400c-bb3b-c51af722808e","year":2000},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.444000Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:3b6acc46fee11267ad02dcfe85bab5bcd0eaf1a820775cf8a21bf1487426b206","observation_id":"ff025478-ce84-4621-82e3-c371fc0fa46e","resolution":{"observed_at":"2026-08-12T15:35:47.541855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.517304Z","title":"Zero-sum stochastic stackelberg games,","venue":null,"work_id":"4d9375d7-5b8d-4544-9b34-cc54e7e25de5","year":2022},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.451440Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:baaf9452e827e5723c0de0fb9f6198fa1d49b26cbc8d03a6c247b93a25b67785","observation_id":"add365fa-d42c-4cec-ac59-f5404e07a3ea","resolution":{"observed_at":"2026-08-12T15:35:47.524472Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-12T15:35:47.497191Z","title":"Adaptive Protection System for Smart Grid,","venue":null,"work_id":"65c0545c-cae9-4b35-be25-eead328a46d3","year":null},"citing_paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T15:35:47.457028Z"},"links":{"citing_paper":"/paper/2411.15229"},"observation_digest":"sha256:aa8a29ecf9508697c4bfc45e87c379449134fd84700b248f2a98338cea153dbc","observation_id":"187e441d-9d2c-4012-869f-ac0a6862596e","resolution":{"observed_at":"2026-08-12T15:35:47.505082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.15229","last_updated":"2024-11-21T13:47:01Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-13T06:51:30.912003Z","submitted_at":"2024-11-21T13:47:01Z","title":"Learning-Enabled Adaptive Voltage Protection Against Load Alteration Attacks On Smart Grids"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":14},"total_outbound_references":16},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2411.15229."}