{"as_of":"2026-08-13T01:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:47607aeaae90799b07deab9ad706b2d5c700044247b182ecf8b4ec22998d70cb","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:53:48.549225Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.07078/citation-record","integrity":"/paper/2501.07078/integrity","json":"/paper/2501.07078/citation-record.json","paper":"/paper/2501.07078"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:53:50.306135Z","title":null,"venue":null,"work_id":"898904b9-190b-4611-a765-6cb05914fe42","year":2024},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.008021Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:d085bebe6383aaaaa3204096d0cc982b03f3883073985d1d64678f476913c1ac","observation_id":"944e4321-d5ba-42dd-968e-ac2496fe59b2","resolution":{"observed_at":"2026-08-10T20:53:50.311424Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:47.013195Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.013195Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:11956669c1704c9e28dc7eed623dcfea38299c92472fd6878cd4a2f2d9d7689a","observation_id":"bac50608-490f-4b57-93c4-df77bca44660","resolution":{"observed_at":"2026-08-10T20:53:47.013195Z","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":"2026-08-10T20:53:50.272166Z","title":null,"venue":null,"work_id":"6660bde1-2c81-4405-aac4-ee56082e4da1","year":2020},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.017582Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:eca647e7ac3c9c7c8904a9eafab4375fcdceaf744a9086104b809899d6f133d8","observation_id":"f51c78ea-5217-4a78-870e-c214a029f7e8","resolution":{"observed_at":"2026-08-10T20:53:50.277131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.252797Z","title":null,"venue":null,"work_id":"8a969567-4408-4751-bff3-ccd299cdba6e","year":2013},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.021657Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:3d73fff3ab28f49e63f5faedfd6f03589e6f129ded3e1bde0f5d1f90681770de","observation_id":"b6896dd9-11b6-4916-bd3f-5f93de36798a","resolution":{"observed_at":"2026-08-10T20:53:50.262713Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:47.026535Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.026535Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:aadb559fb08cf1e3927207291fc0979fbffbcbe1c73bdc96d41678d014de9823","observation_id":"e1479f5b-e895-4b96-b9dc-bf272eb76ed9","resolution":{"observed_at":"2026-08-10T20:53:47.026535Z","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":"2026-08-10T20:53:50.226520Z","title":null,"venue":null,"work_id":"8a3c3533-d268-41ac-a451-f4f922014fe7","year":2018},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.031430Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:b7928b3bf7fe8149ed06f742144ad6f44e9fbb123c4bed22ca0e98bb40a6f9d7","observation_id":"8247e89f-bf22-4fa6-8969-bbcf4ac6b894","resolution":{"observed_at":"2026-08-10T20:53:50.231015Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.212503Z","title":null,"venue":null,"work_id":"b771e9a1-c8e9-417c-a4e3-5d46686d9f86","year":2021},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.036512Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:8369532dc2e5a8cab4f2bd4e3ca99eaafda9d7adc341211ce537065d7834532a","observation_id":"d5088ae2-2589-48f8-af6b-49e72b3f6e8c","resolution":{"observed_at":"2026-08-10T20:53:50.217150Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.195345Z","title":null,"venue":null,"work_id":"dc9785a0-bdcf-47a5-84af-b16208ec6093","year":2022},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.052853Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:84cf23510ae29a5f630e9511466aa9fa18e1807891042fadd659cb08dfd32e0f","observation_id":"a5e63b25-5efe-4d7b-9125-19b1ef8ab3e9","resolution":{"observed_at":"2026-08-10T20:53:50.199840Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.181280Z","title":null,"venue":null,"work_id":"3df54e65-c55b-4d92-96aa-8d547ae5f922","year":2021},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.102928Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:54ecf69384a9f1458dfa0a2cca68fd77c9f6731a3ca685902b12842eef9ce6da","observation_id":"f5dfe86c-7b2c-4d32-ae3a-d61e7b14fa7e","resolution":{"observed_at":"2026-08-10T20:53:50.185197Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.166174Z","title":null,"venue":null,"work_id":"8dfb7df0-959e-40dc-99bd-c4e5dbf28c8a","year":2018},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.155499Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:53498fd4908f4d48aea0406a0c9e806433b846d1de5d6b5d14c2d85caf84e299","observation_id":"2bc91dfa-ac9f-4371-bc01-198afa5f446e","resolution":{"observed_at":"2026-08-10T20:53:50.171264Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.149936Z","title":null,"venue":null,"work_id":"ef1829e8-989f-41df-b47f-7ea96f8c0419","year":2017},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.231032Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:876765e57696fafea1733afc9e7b6c4b981628c6e04278d1cc301d19852e0937","observation_id":"0c7e3541-cd63-4a6b-8400-877ad72df824","resolution":{"observed_at":"2026-08-10T20:53:50.155313Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.132445Z","title":null,"venue":null,"work_id":"af395a03-49c2-427c-90b9-5591248b1b91","year":2025},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.280970Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:3b52a7bd43ad01e0fdb268b98eccf3dce7cf3ede071ee4ca8668684343f4a4ba","observation_id":"1378b3aa-9154-41eb-9a7c-2fd59fb1d581","resolution":{"observed_at":"2026-08-10T20:53:50.137028Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.116623Z","title":null,"venue":null,"work_id":"2e918ac8-7deb-40c1-afff-233510b5ec71","year":2019},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.285532Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:74ff26c84e25155828dd69bc114628737d75bf017e71d6848b616186899e9245","observation_id":"3a9b66a2-74ec-4584-aaf4-78805540e8e6","resolution":{"observed_at":"2026-08-10T20:53:50.121574Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.100939Z","title":null,"venue":null,"work_id":"ab78bee5-6477-4452-bdb9-48ce25bff715","year":2018},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.289774Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:9201214e54ba5a97f538038d5275a46d651efdcba99923506c7a6e32bcaecdb2","observation_id":"02e5d482-7f91-4b94-a92e-7cc9a20f5bce","resolution":{"observed_at":"2026-08-10T20:53:50.104895Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.088306Z","title":null,"venue":null,"work_id":"00c19d48-8707-4dd6-b291-4b94919ce11a","year":2019},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.295711Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:5ebf3c650c510ed0e729a814e633c59d9193c13073daabe40d0f59c9501d2e09","observation_id":"317f9257-e216-4eeb-81ab-d371d3b6a392","resolution":{"observed_at":"2026-08-10T20:53:50.092266Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:47.305484Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.305484Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:c64873d199e31b5864f35255329589558fe76e403e3650cf58cadb0379889933","observation_id":"ec71ce1f-23c5-48de-8055-aeaec5f5e727","resolution":{"observed_at":"2026-08-10T20:53:47.305484Z","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":"2026-08-10T20:53:50.062621Z","title":null,"venue":null,"work_id":"9047046d-5de8-452c-94ee-95e465338b86","year":2024},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.419841Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:a9532a4314fbbf0605c05a65100edc01a092c4bf90774f301bd7db1e403ba438","observation_id":"a893bcaa-8a57-4bb6-8ddd-0260357d727a","resolution":{"observed_at":"2026-08-10T20:53:50.067810Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.046919Z","title":null,"venue":null,"work_id":"fbcd0e39-7c2d-435e-aa28-affec30ac180","year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.510749Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:8a4c156a626da277eabb4f84f06bb22dca4475288e838974f14a9f9ba59b54b2","observation_id":"6644240b-f395-4402-9c75-cbd14271585d","resolution":{"observed_at":"2026-08-10T20:53:50.052081Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:50.028597Z","title":null,"venue":null,"work_id":"2cb44c54-cdff-4975-a0a7-081fd29085ce","year":2019},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.752915Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:9e2383f2c54835423e2d21ae9ff13b5be2415e18bee4df8d552fa37f1bf4b5b4","observation_id":"909b5ef0-33e0-40a6-b78b-266655df48e5","resolution":{"observed_at":"2026-08-10T20:53:50.034402Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.976773Z","title":null,"venue":null,"work_id":"24a86b81-4972-4fc1-a09b-7c457869fc12","year":2015},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.758694Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:f0c1f20f1c41d02ec35d3d82e35524834e316d77eed2c01fd2e91dd0694c93ea","observation_id":"d449847a-0272-488e-b84f-0909e5b89ae3","resolution":{"observed_at":"2026-08-10T20:53:50.017518Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.851593Z","title":null,"venue":null,"work_id":"48763ed5-04f0-463d-92e5-ca3218f49a74","year":2024},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.763800Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:42dbbe3508a5d512576d1458a946b9e05eb5f79265c4f8698d76fbe6c8201dee","observation_id":"b112bb82-640f-4d07-ad56-aab64616eea3","resolution":{"observed_at":"2026-08-10T20:53:49.868618Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.835617Z","title":null,"venue":null,"work_id":"da05f53c-170f-43fe-8883-0c320f22545a","year":2024},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.768108Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:16eebc52468a3cf4a683764ad501af764bc168afab7cc97242fa9570e333fe26","observation_id":"c2b3e5f6-99b1-4943-a788-9eab1ab7aa5a","resolution":{"observed_at":"2026-08-10T20:53:49.840783Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.819956Z","title":null,"venue":null,"work_id":"c36b5a67-5592-4d16-8686-674e50443e36","year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.772549Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:b011f60834dd19fcc4f5bd7cddbebd8e1fc4766c80fbc1f3e287d03c0bf688b4","observation_id":"db34850c-6f3d-42e4-a083-34db8e9c0b07","resolution":{"observed_at":"2026-08-10T20:53:49.824821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.801754Z","title":null,"venue":null,"work_id":"ac2c682f-6fcf-4dfa-877f-cf53b21894f7","year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.776869Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:1c42b36f01f2358a73fd5bf2905924d297862d55d9a94656713667cc0a17eb18","observation_id":"a83d615d-b636-4e11-8d87-b42c3c9b1564","resolution":{"observed_at":"2026-08-10T20:53:49.808059Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.626218Z","title":null,"venue":null,"work_id":"121aaa46-cca8-47a3-bca1-65fc88aa24dc","year":2017},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.819638Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:e58e01c012aa2815a40bd8b14dbae770707bf5a0a74bac3c6fd51928feda101e","observation_id":"2e62428c-768b-4949-966d-db09e6b5f858","resolution":{"observed_at":"2026-08-10T20:53:49.708671Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:47.896745Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.896745Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:9e4d095960848feb45c6cfeda6c131d348c06a629bb2d6bc2803963c74f8b4f5","observation_id":"13087eb2-34a0-4b52-abd2-c3e3334e64bb","resolution":{"observed_at":"2026-08-10T20:53:47.896745Z","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":"2026-08-10T20:53:49.599999Z","title":null,"venue":null,"work_id":"99beb2bc-8c3f-47c8-952c-a021994d0b4b","year":2017},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.023671Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:41aa87ef0954b8acacac941a5b8a9febf9b34522e0349e0588784ee207145a38","observation_id":"a29ba5dc-6bcb-41fe-bd18-36be71ff6630","resolution":{"observed_at":"2026-08-10T20:53:49.606352Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.029958Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.029958Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:f121846e9579e5b197ca3b8a0c949bcc277c66fae60d637be35c46e1cadd9032","observation_id":"dff71a27-58ff-419d-98b5-f19c8bf61192","resolution":{"observed_at":"2026-08-10T20:53:48.029958Z","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":"2026-08-10T20:53:49.562605Z","title":null,"venue":null,"work_id":"4bbcd009-ceed-4129-b38f-e8ee64120f22","year":2016},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.040800Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:b5fea72943df06fdd8be8674a2568a4b15224f238f1fe71861e5dd3d46c890ad","observation_id":"8db87539-682e-464c-8205-7e0dc2eea2e3","resolution":{"observed_at":"2026-08-10T20:53:49.566677Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.547613Z","title":null,"venue":null,"work_id":"cad6cecb-248e-4325-9842-9cf9ddc121ad","year":2020},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.125154Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:0fdfc43aea319ef7e377d4bd7beeaab87ee8eb7f843e613251bbaf27d13eb546","observation_id":"2319e80e-738e-4856-926c-6a2362086844","resolution":{"observed_at":"2026-08-10T20:53:49.553524Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.450521Z","title":null,"venue":null,"work_id":"0ef1c735-7598-405b-94a7-1c836ec31d23","year":2018},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.226589Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:7784f6a4109a01edbbf11216907d12bc4856bd751931e51ad650221baca61d3e","observation_id":"63dbbe9a-af84-4f7c-a11c-80a47d0a9e59","resolution":{"observed_at":"2026-08-10T20:53:49.536579Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.392391Z","title":null,"venue":null,"work_id":"ad573f54-a9e4-4e88-ac50-5376707f9003","year":2019},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.232141Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:7f673df0ab990d509861eb39d1ccd362fcbffc5a704b36feee25b6808b7fd064","observation_id":"d49e2f76-d077-4ede-b363-b3dea69fe181","resolution":{"observed_at":"2026-08-10T20:53:49.397312Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.374059Z","title":null,"venue":null,"work_id":"2894b003-827b-49cb-ac2f-a6b9f4f90056","year":2007},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.237165Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:cc52419c3752961007ac792904953f10651de818d0d5d1f06c4b381626834257","observation_id":"305437ef-3f05-4426-93d7-e8c7dc7e928a","resolution":{"observed_at":"2026-08-10T20:53:49.379418Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.358576Z","title":null,"venue":null,"work_id":"982c6067-7b04-4869-ae69-1cf238b9c8a8","year":2015},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.241909Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:3654cdde02154b13cb0b204944465f8ef01b8c1cedc479e2576a911945429bac","observation_id":"af118fdf-0738-4310-869b-6f5fcfa5e38f","resolution":{"observed_at":"2026-08-10T20:53:49.363424Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.311438Z","title":null,"venue":null,"work_id":"7e858889-19ca-48d9-adb2-d8e8fb4b164f","year":2019},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.247830Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:8f86224e783195c5ca40969d00ef190449f27109efcf7558494cf81ba2adf7b6","observation_id":"f377b340-8ac0-4d2d-902a-24ffb22cc234","resolution":{"observed_at":"2026-08-10T20:53:49.347632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.169374Z","title":null,"venue":null,"work_id":"868c7a09-046a-4367-910e-e344f4ab4cb6","year":2016},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.254454Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:1d489d8dd7be1cd5f1ee510cbde00a82c8255dc3313be2dc30e67b5417c59c5d","observation_id":"a434c46e-e118-4ed9-a36a-8abbd6ca0364","resolution":{"observed_at":"2026-08-10T20:53:49.204656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06427","last_updated":"2024-06-03T14:59:11Z","snapshot_observed_at":"2026-07-06T15:41:05.902201Z","submitted_at":"2023-06-10T12:42:36Z","title":"Boosting Language Models Reasoning with Chain-of-Knowledge Prompting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06427","snapshot_observed_at":"2026-08-10T20:53:48.335346Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.335346Z"},"links":{"cited_paper":"/paper/2306.06427","citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:239d44b08fe899f445669e0174a6f9f92529ace9354d7ec792177ecd353d73e2","observation_id":"159657c4-26b1-446a-9091-fca9d1818a7d","resolution":{"observed_at":"2026-08-10T20:53:48.335346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.06632","last_updated":"2023-03-26T02:22:12Z","snapshot_observed_at":"2026-08-11T12:46:22.338676Z","submitted_at":"2023-03-26T02:22:12Z","title":"AI-Generated Content (AIGC): A Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.06632","snapshot_observed_at":"2026-08-10T20:53:48.373047Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.373047Z"},"links":{"cited_paper":"/paper/2304.06632","citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:b55512d96ab946f6487280e2e8fe747ff13709da4abb7114f8fa258e0dea3a84","observation_id":"1decd1e8-2557-4a1f-8549-129a96daba8d","resolution":{"observed_at":"2026-08-10T20:53:48.373047Z","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":"2026-08-10T20:53:49.152014Z","title":null,"venue":null,"work_id":"9b7906ae-e1c5-4871-b409-797b05fbf34c","year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.379255Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:cb14ea70b256918c3d70ac32b5641fbb341dda650b227dbdb0765399d3433984","observation_id":"3f346f00-b629-44d7-bebe-27f1786872be","resolution":{"observed_at":"2026-08-10T20:53:49.157483Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.384427Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.384427Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:b56eada46ffbc4076a06baed13eb8071d78f8d0312d9caadf86a3f84d7134b00","observation_id":"be7f524d-3c5c-4bed-9df8-90427e9851c6","resolution":{"observed_at":"2026-08-10T20:53:48.384427Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.11817","last_updated":"2025-02-13T08:11:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-22T10:26:14Z","title":"Hallucination is Inevitable: An Innate Limitation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.11817","snapshot_observed_at":"2026-08-10T20:53:48.388895Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.388895Z"},"links":{"cited_paper":"/paper/2401.11817","citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:677c4f8b5bc043b44938239f4d239106bd48468ef9a95b5e1e1aadf7623b0e98","observation_id":"fe34c19b-bfa6-4e15-b321-ea2faf91dc1d","resolution":{"observed_at":"2026-08-10T20:53:48.388895Z","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":"2026-08-10T20:53:48.964874Z","title":null,"venue":null,"work_id":"5196e0c3-ea8c-432b-8b49-756302f69e47","year":2021},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.393463Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:04bda30a4bff6cfb239c62a66f6e7afdce35d2f54be2e24d2eb1a56fa921e0d4","observation_id":"ad79562f-b7c4-4968-9ed9-25c1978ef7e1","resolution":{"observed_at":"2026-08-10T20:53:49.040024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.941621Z","title":null,"venue":null,"work_id":"facd85d2-e2d0-4380-9687-a7bb859b23df","year":2015},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.397893Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:bd3b8a0f421a7c695fd9c29820f3025ae6a78f11b3a9baa862630edd9a837633","observation_id":"3171fb7b-1d22-49c9-b261-9e216a5e9eec","resolution":{"observed_at":"2026-08-10T20:53:48.949659Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.924156Z","title":null,"venue":null,"work_id":"ad976817-96b9-46fa-8b77-78b4bc7b848c","year":null},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.442016Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:4e7a73b6997a73848f7bc13a78545e7ed55c8e2ae64e36a4001c79f6c7f6cc16","observation_id":"ce14ae81-717b-424d-b1ed-ba8f8ea4ac3d","resolution":{"observed_at":"2026-08-10T20:53:48.929041Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.770850Z","title":null,"venue":null,"work_id":"ebd7b8d0-7ae7-414c-94eb-72b560094e86","year":2022},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.532950Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:aa2fa9a5b68b515036e1f110decb431b26bf18998ebdf5efd4b3477798983f62","observation_id":"74ddc02e-587e-46a5-9cfd-b8f8256e7c3d","resolution":{"observed_at":"2026-08-10T20:53:48.776332Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.754987Z","title":null,"venue":null,"work_id":"73186858-3ca7-4e3f-829e-241cfc0d20e7","year":2023},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.537929Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:f0c5aabeb9178c8d284d0e6c86472bb2a4e37d400b2bce3a60494c30cf70a279","observation_id":"42350cb6-9a43-42c0-b094-d65fa85be47e","resolution":{"observed_at":"2026-08-10T20:53:48.760166Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.738468Z","title":null,"venue":null,"work_id":"6348e6b9-eb33-4168-a2a2-2cf7df99a670","year":2020},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.544464Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:4c689f39b1841ba8065bbc5a0edb0cb7f3712f0fca7083395f9578c45ba9e4a9","observation_id":"4bf7fe02-dfb6-4c1d-83b6-91fd55625f50","resolution":{"observed_at":"2026-08-10T20:53:48.743724Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.624188Z","title":null,"venue":null,"work_id":"7d53028c-a6aa-4e87-82fa-cd52708331c0","year":2016},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.549225Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:281b24e832d332b8470067f180fb0168ac879ed59b84f85ea1fff393e8e350f6","observation_id":"4260fbe4-767c-4de4-9f2e-22c5e98a1ce2","resolution":{"observed_at":"2026-08-10T20:53:48.689669Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:49.576130Z","title":"In The Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing","venue":null,"work_id":"35e4ddfa-e603-42e9-962b-07176bf2be6f","year":null},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.035579Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:f9d9049de6ac23244f1950c858310bf7a751c00fbb57ac49d8ab756a5ba797d4","observation_id":"a333872c-af65-4967-b5cf-bff80af5ac6f","resolution":{"observed_at":"2026-08-10T20:53:49.581545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T20:53:48.789662Z","title":"In The Annual Meeting of the Association for Computational Linguistic","venue":null,"work_id":"95f866e8-bcfc-43e9-a201-4d92d5c4e189","year":null},"citing_paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.528453Z"},"links":{"citing_paper":"/paper/2501.07078"},"observation_digest":"sha256:4855b295b0135e7fd1605dfb5a8bf5c11abc34209b3c9395a37f2e5b0c94b42f","observation_id":"d4789bb4-91c9-4030-b190-8463d18fa7c7","resolution":{"observed_at":"2026-08-10T20:53:48.862779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.07078","last_updated":"2025-01-13T06:22:52Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T20:47:12.579898Z","submitted_at":"2025-01-13T06:22:52Z","title":"ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":47,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":50},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2501.07078."}