{"as_of":"2026-08-19T14:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1b23d418b5f1b7e48733a1bf086d8ca33c515ce5d594e22f6a7119c2242706d1","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T23:03:39.364646Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2501.00085/citation-record","integrity":"/paper/2501.00085/integrity","json":"/paper/2501.00085/citation-record.json","paper":"/paper/2501.00085"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"articles/6999267","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:03:40.251424Z","title":"Quick start to write a custom SELinux policy,","venue":null,"work_id":"90948de9-a60b-4803-86ce-802da9a1c851","year":2024},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.020307Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:604b611247f5928058a91edc4a209b01800a9e4abb2a0d2110bd69f51179d62f","observation_id":"06ed66fe-8c91-462a-b511-21245c59545b","resolution":{"observed_at":"2026-08-10T23:03:40.303487Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.784170Z","title":"Visualization-based policy analysis for SELinux: Framework and user study,","venue":null,"work_id":"19ad5a66-395f-4834-b162-cd52ec659ab6","year":2013},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.039589Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:84fc10927b9174d6da0f540c5d080de13188d068c0d40c98f78ab0cb836b558a","observation_id":"f24ae795-8fa2-4867-8e73-a03078934a03","resolution":{"observed_at":"2026-08-10T23:03:40.788628Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.688639Z","title":"What is SELinux?,","venue":null,"work_id":"e17021b7-4827-445c-b6e4-8f7c6ceb0da3","year":2024},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.044015Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:4596f9a8d3d665113320c8ed66d85c614821e49812844082ab8968e668094c90","observation_id":"a8bbce12-93fd-496f-b92d-e75e4acaef5b","resolution":{"observed_at":"2026-08-10T23:03:40.776562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.593904Z","title":"Security-Enhanced Linux for mortals,","venue":null,"work_id":"e333e219-86a9-4110-9e0b-8be9373487d9","year":2024},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.048219Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:a750de115938130265ea01f363cd9d6a4635d0f906ea342bbc3eba380ab48272","observation_id":"cfe3ec02-fd63-4955-a33f-745cf1f64e62","resolution":{"observed_at":"2026-08-10T23:03:40.598797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.580993Z","title":"Mayer, K","venue":null,"work_id":"d32cf25b-6123-40b1-9c65-432d3df2818e","year":2006},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.182147Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:11b45da6f915f7407e9ee77df9a8b13be2bff73c4be6ec21100398a31b03f749","observation_id":"b2447f5d-34b2-4be4-9dc7-c7c757a24bca","resolution":{"observed_at":"2026-08-10T23:03:40.586064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.568239Z","title":"SETools,","venue":null,"work_id":"7f10e74d-c5f6-4450-b7ec-086f29742776","year":2024},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.248981Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:564c0acc6d3d912cafff16055e6c4bf5deb3f658784b6b3990f15b988ce1a893","observation_id":"9448f4de-4de6-4d29-89e1-0460000293f6","resolution":{"observed_at":"2026-08-10T23:03:40.572872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04586","last_updated":"2023-12-04T11:10:10Z","snapshot_observed_at":"2026-08-16T14:37:54.729051Z","submitted_at":"2023-12-04T11:10:10Z","title":"Automated SELinux RBAC Policy Verification Using SMT","version":1},"cited_work":{"arxiv_id":"2312.04586","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.04586","snapshot_observed_at":"2026-08-10T23:03:40.133556Z","title":"Automated SELinux RBAC Policy Verification Using SMT","venue":"cs.CR","work_id":"d0c01995-9acf-45b3-8339-c52e4a54f22f","year":2023},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.291435Z"},"links":{"cited_paper":"/paper/2312.04586","citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:a0bfc02460da7876bd8dcc2093c0d043a2b72f2f2f59680ebb0bbd8f35bb3c8c","observation_id":"c8c202a1-1e90-4eab-9d3e-e4378af2848b","resolution":{"observed_at":"2026-08-10T23:03:40.177537Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:39.338810Z","title":"node2vec: Scalable Feature Learning for Networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.338810Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:864689bb8bf644340979c360ea8673abc25439331d6dc885c1e1faa0baa0142f","observation_id":"9f5e26da-e8e3-43b8-abd3-b50cc414abdf","resolution":{"observed_at":"2026-08-10T23:03:39.338810Z","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":"2026-08-10T23:03:40.408912Z","title":"Graph-Powered Mining and Refining of SELinux Security Policies,","venue":null,"work_id":"028a79c3-4575-428a-9b71-6963e30ee1c4","year":2024},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.341997Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:fabf1b5ca1016d750c8ca1acb3f09c3a044f15d23b57e4e7ab2ffce491a2834d","observation_id":"084af0ba-dbc0-467a-8d1e-0e00fd6613ae","resolution":{"observed_at":"2026-08-10T23:03:40.493480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.396667Z","title":"Neo4j Graph Database Platform,","venue":null,"work_id":"23d8671c-cf90-4564-8bf6-ebb6b11ea5bb","year":null},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.345793Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:8d80941dfda77b04cdd738bf0df60c57070e9650c065cecfaaa5c0f07d617f36","observation_id":"7bb4a6a6-f54f-46c8-b86b-01a604c53517","resolution":{"observed_at":"2026-08-10T23:03:40.401343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-10T23:03:40.383798Z","title":"Operating System Security,","venue":null,"work_id":"17197231-72e8-43ee-bbf5-cdde507837ff","year":2008},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.349370Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:a964f17e26f95e44d8125a4dbf400c96196120e0c176eb6bbbd69792ab0fb31f","observation_id":"c883eb11-37f9-4a31-aa08-0e06d0723ba6","resolution":{"observed_at":"2026-08-10T23:03:40.388141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.01442","last_updated":"2020-01-06T09:04:59Z","snapshot_observed_at":"2026-08-09T06:54:33.308909Z","submitted_at":"2020-01-06T09:04:59Z","title":"Runtime Verification of Linux Kernel Security Module","version":1},"cited_work":{"arxiv_id":"2001.01442","doi":null,"metadata_source":"pith","pith_arxiv_id":"2001.01442","snapshot_observed_at":"2026-08-10T23:03:39.963476Z","title":"Runtime Verification of Linux Kernel Security Module","venue":"cs.SE","work_id":"0c974476-bed0-4ab2-b07c-9b64dc0aadab","year":2020},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.352395Z"},"links":{"cited_paper":"/paper/2001.01442","citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:640f3b29635a521847c8b6af12bb2d776c9601cb0011009e7dff6858da5cc39a","observation_id":"9dbede92-c84f-49c2-a5bf-19f9a458492c","resolution":{"observed_at":"2026-08-10T23:03:40.032991Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/ispa-bdcloud-","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:03:39.874504Z","title":"SPLinux: An Information Flow Secure Linux,","venue":null,"work_id":"14feea2e-e30c-4481-bf42-a46e6a0b3d7d","year":2021},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.357200Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:bb87e0793d200fd1ef219dd880e2aa706953f8a15e49d1bb47e991ec069d79e3","observation_id":"16cfe694-3ccc-423f-a078-35b8648f9f4b","resolution":{"observed_at":"2026-08-10T23:03:39.929831Z","resolver_source":"doi_truncated","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"0036.99005","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:03:39.662390Z","title":"Towards a formal model for security policies specification and validation in the selinux system,","venue":null,"work_id":"99b177e5-91ef-4d28-81a4-7c2e2c3e24fd","year":2004},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.360885Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:ed528cc6fe688bcf8ad53de8a02df6ba9e31fcf6ebde38e22c79df7242b0ff4d","observation_id":"03c3ea0a-0b26-4193-a318-2f45bc31e0a4","resolution":{"observed_at":"2026-08-10T23:03:39.718241Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"9158.36573","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T23:03:39.578119Z","title":"SPRT: Automatically Adjusting SELinux Policy for Vulnerability Mitigation,","venue":null,"work_id":"1445d7b3-9866-4dda-88a3-1e37102ca35a","year":2024},"citing_paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T23:03:39.364646Z"},"links":{"citing_paper":"/paper/2501.00085"},"observation_digest":"sha256:8b490f95a8382149f60c27f07df22d9cd77f121f5cec7921aff2bfb3bbe08c14","observation_id":"c5c9b3fa-9cb7-4edd-91cd-051678b50f6d","resolution":{"observed_at":"2026-08-10T23:03:39.601467Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.00085","last_updated":"2025-01-06T22:42:41Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T12:39:05.798883Z","submitted_at":"2024-12-30T18:24:27Z","title":"Machine Learning-Based Security Policy Analysis"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":1,"verified_exact":3,"verified_fuzzy":8},"total_outbound_references":15},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.00085."}