{"as_of":"2026-08-09T17:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c2c180d97005ae08d7e11e3a3474e476627dc8669ce4af3899d43159e0736b35","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":"2026-08-05T12:34:44.934979Z","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":"2026-08-09T06:31:02.800959+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/2509.01509/citation-record","integrity":"/paper/2509.01509/integrity","json":"/paper/2509.01509/citation-record.json","paper":"/paper/2509.01509"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:34:45.644078Z","title":"2023 ponemon cost of insider threats global report,","venue":null,"work_id":"c0229844-08eb-4261-af56-46c9cb3bdd87","year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.711335Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:4f348fa8e087e0c3de22e75f5012c6ece1fed65b0e1f694ec48f00bb9c0b2e05","observation_id":"e7be3eed-971e-4bf6-8602-fd77da8eb921","resolution":{"observed_at":"2026-08-05T12:34:45.648771Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.615686Z","title":"2025 ponemon cost of insider threats global report,","venue":null,"work_id":"5ef81195-f89c-4d16-86c9-d5fb55f130e9","year":2025},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.721067Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:e5dc011888a792e9dcdf45175f17349ed4c7f6d65af195a559c54adccb9708ab","observation_id":"b554d311-cb58-4bab-9881-249f80b665de","resolution":{"observed_at":"2026-08-05T12:34:45.620963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.600186Z","title":"Laaeb: A comprehensive log-text analysis based approach for insider threat detection,","venue":null,"work_id":"9b85880f-e2b5-4ba3-aaa4-76256d92f84d","year":2025},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.725142Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:f966133176afada64e2fb1a526f2372edab1c8408189fea548a5a39d2a5e9ff5","observation_id":"399dee3d-befc-4388-a13e-140558037a17","resolution":{"observed_at":"2026-08-05T12:34:45.605079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.586377Z","title":"Hetglm: Lateral movement detection by dis- covering anomalous links with heterogeneous graph neural network,","venue":null,"work_id":"e50be156-b9f5-4d45-a663-f65a05407a07","year":2022},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.730597Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:129d567886ff340c5b19ca3de9942d9d10c7497bdbb41d5458eab477ba4569cd","observation_id":"8601385c-2bce-411a-9c44-41624f119b32","resolution":{"observed_at":"2026-08-05T12:34:45.590879Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.571272Z","title":"Deeplog: Anomaly detection and diagnosis from system logs through deep learning,","venue":null,"work_id":"03150b3d-2cda-4568-b7a9-581c4d79b69e","year":2017},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.735351Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:c212de9d55cd1cbe6aa1f76213d58cbda1986935dfac1ef16bac109331181901","observation_id":"f97ef42b-f669-4322-8ffc-ba0604fac5fc","resolution":{"observed_at":"2026-08-05T12:34:45.576061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.556461Z","title":"Deep learning for un- supervised insider threat detection in structured cybersecurity data streams,","venue":null,"work_id":"7dedfaf2-8ab6-4791-a7ae-16e13f20679c","year":2017},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.740778Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:e0e841efc828103c6e40a59780ea3bd7739f409e14e83c182b0c9717b0f05306","observation_id":"bf2916d8-3807-4b0a-9238-35aee06a4392","resolution":{"observed_at":"2026-08-05T12:34:45.560946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.542664Z","title":"A novel model for constructing insider threat behavior features - ubtbert ubtbert: Model for constructing insider threat behavior features user behavior text bert model,","venue":null,"work_id":"a441a74f-ffea-4d38-9a80-4bad4549b139","year":2024},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.745903Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:b7a4e0572f0a2c73a858ec7315e94461360558fe008c73bb47c08522e736df52","observation_id":"a44f2575-5ea3-4c46-a440-6c74f21f4f3f","resolution":{"observed_at":"2026-08-05T12:34:45.547521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.529677Z","title":"LAN: learning adaptive neighbors for real-time insider threat detection,","venue":null,"work_id":"2a807fb6-4c5c-4bac-a428-a0b0489324f5","year":2024},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.751138Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:8d2e9725965f208fbe34a636d53250588bd9256ad344ac69c4af70e7c9b9b324","observation_id":"14d16c0a-3b4c-4eeb-bf91-e6f70f24f3f7","resolution":{"observed_at":"2026-08-05T12:34:45.534391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-05T12:34:44.756174Z","title":"Roberta: A robustly optimized BERT pretraining approach,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.756174Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:318d0e077f26ecac556444078c7ead0739feca60539707195448331dd7a6d180","observation_id":"97099a73-4e8e-4b41-8faa-80d815d24e4e","resolution":{"observed_at":"2026-08-05T12:34:44.756174Z","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":"2026-08-05T12:34:45.514734Z","title":"Ts2vec: Towards universal represen- tation of time series,","venue":null,"work_id":"6e3b7b07-6d57-4824-ac92-251eb09287de","year":2022},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.763037Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:07296f63c5a34a931115cfa0e80ba377ce9489d9de65df7332d84941a57720d5","observation_id":"73720756-d737-4c40-b8fa-f8742db2faad","resolution":{"observed_at":"2026-08-05T12:34:45.519694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.499646Z","title":"node2vec: Scalable feature learning for networks,","venue":null,"work_id":"72852a46-d47d-4846-9441-555946f8bbaf","year":2016},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.767634Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:eff428906cd58a0be6c24b8f35417590a2e97825d0364b38c3662b30f348422f","observation_id":"0c68c348-712d-48a5-94b5-8e745a20c074","resolution":{"observed_at":"2026-08-05T12:34:45.504702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.483262Z","title":"Uni-moe: Scaling unified multimodal llms with mixture of experts,","venue":null,"work_id":"4d9ba58a-2c74-4a59-a83b-7899bb829df2","year":2025},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.772164Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:957db6c6e45ef2ebc07652a085d654f3857a4ba4d126134ccde9f45f14ab3976","observation_id":"dd9a4fe7-fd1e-4004-a26e-81f0f80d6f1d","resolution":{"observed_at":"2026-08-05T12:34:45.487844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.468090Z","title":"Mixture of experts as representation learner for deep multi-view clustering,","venue":null,"work_id":"228266b2-6cc6-489c-9695-fee047c3af35","year":2025},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.776895Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:da4fe7023e757754f8cf9fd0604bf7db68a382fae4b11d60784944a347ae344d","observation_id":"dbc8a3b5-ecf5-41dd-91b5-251961612cca","resolution":{"observed_at":"2026-08-05T12:34:45.473128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.452480Z","title":"BLIP-2: bootstrapping language-image pre-training with frozen image encoders and large language models,","venue":null,"work_id":"fbafa3d4-66cb-4ee0-8921-55e9c191a143","year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.782016Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:2c40b791586a38bff1d72b17364505d80a7adacd4af1f8917e692d27bc7c3ed4","observation_id":"0f96e979-4c0d-4f4f-a5aa-3c67c28dbcef","resolution":{"observed_at":"2026-08-05T12:34:45.457548Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.437665Z","title":"Learning transferable visual models from natural language supervision,","venue":null,"work_id":"4ff8e9b8-f439-4f84-a39f-fdffebb53309","year":2021},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.786269Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:2fada91dfa29d151982858577aba1ebf47ccc510b9831e69af8fa74256616b69","observation_id":"b416f46d-7bdc-48ac-885e-473124d9fa28","resolution":{"observed_at":"2026-08-05T12:34:45.442368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.422246Z","title":"Clip-it! language- guided video summarization,","venue":null,"work_id":"79b6d87a-ce32-43bf-aa80-c0391027ac63","year":2021},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.790520Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:1cc3224a4734d754061d7e541634236184cca63144b6505fe1bd1141baa43fb6","observation_id":"ee3a4d92-ebe2-4aae-ba76-dd9c2cc6fd3e","resolution":{"observed_at":"2026-08-05T12:34:45.427241Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.406372Z","title":"A new architecture for managing enterprise log data,","venue":null,"work_id":"c357a3db-5000-418a-86ea-b661dfabd97e","year":2002},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.796284Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:0f936b42700126f1ccb1cf8a7c1438e8f89fff4abb60da935aa23d22552f3f8c","observation_id":"4d2d2f62-2fef-47d9-b1a2-d9e3e23d87c9","resolution":{"observed_at":"2026-08-05T12:34:45.411654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.391485Z","title":"Insider threat control: Using cen- tralized logging to detect data exfiltration near insider termination,","venue":null,"work_id":"67cbb6b3-e40a-45b9-ac61-314186dd244d","year":2011},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.800853Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:9367ce18c363ade2575423c451121818439d4c81b0d51bdb97527a13c1e9eef5","observation_id":"6b744b73-b071-449a-95c3-68faa24f72eb","resolution":{"observed_at":"2026-08-05T12:34:45.395826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.376575Z","title":"HOLMES: real-time APT detection through correlation of suspicious information flows,","venue":null,"work_id":"6eb86147-cc2b-439c-860d-b20a0f1ba8e6","year":2019},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.811193Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:634b6c2ed91a6537dfe74683237b512a18f4d3ab9be0dded20ea96aaea8a7fad","observation_id":"0077dcab-edd7-4566-a263-6a02fee5c435","resolution":{"observed_at":"2026-08-05T12:34:45.382044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1184/r1/6574472.v1","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T12:34:44.964017Z","title":"Available: https://doi.org/10.1184/R1/6574472.v1","venue":null,"work_id":"33770fbd-25b0-44f6-92ed-bde397df2893","year":null},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.806008Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:ba70d57279b2a73fcd52d0b533eed8ef9930c32d7d85b34cefaf79c9ec6ee1f4","observation_id":"e4d60772-7489-4b4d-983e-e4c348a0b2a8","resolution":{"observed_at":"2026-08-05T12:34:44.969745Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.350497Z","title":"Robust anomaly-based insider threat detection using graph neural network,","venue":null,"work_id":"febb2add-807f-4d31-82e5-1e967ea1a9ef","year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.820307Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:8639f79853e5eee8200282a482ed798c77c7239f203dd5f421d4b8626c4d251a","observation_id":"2acf2b57-c255-4d81-bae2-c6f2c606d778","resolution":{"observed_at":"2026-08-05T12:34:45.355295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.364067Z","title":"MITRE ATT&CK&AE; — attack.mitre.org,","venue":null,"work_id":"774cbd56-69d1-4ba4-9a0b-4d75084e4e41","year":2025},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.816043Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:5989742a61ac1b5e77f893817e312d3c6eb9ec3b8703bb4286cba625217f4044","observation_id":"8fe32cec-c609-4eec-8c90-8ceb81d7b78c","resolution":{"observed_at":"2026-08-05T12:34:45.368294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.324864Z","title":"Eigen co-occurrence matrix method for masquerade detection,","venue":null,"work_id":"5e415958-c014-448f-bc9c-be0d1e083cbd","year":2004},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.828097Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:4f41850b60ddf3c4e72eae5944648b64507eb998fd92704f696d78ba5529731d","observation_id":"37c9a55e-3ad5-4d81-b9c2-df98705e39b1","resolution":{"observed_at":"2026-08-05T12:34:45.329083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.337731Z","title":"Insider threat detection via hierarchical neural temporal point processes,","venue":null,"work_id":"3a208d80-675d-4ecf-b794-77a3229bfb83","year":2019},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.824267Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:1b6f61c4f2d24f61a8f1aff527a8cb39d00160144b30ef51595184c2c2e85b8d","observation_id":"a4269d08-50f6-4e08-8cb0-e9732e285ec4","resolution":{"observed_at":"2026-08-05T12:34:45.341797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.298333Z","title":"A survey of multi-view representation learning,","venue":null,"work_id":"efa235bd-c862-47bb-8469-589bbbdde992","year":2019},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.835877Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:36676edf503d12ae2462b6cb4f6ecdd8e0d5df768ff3ba286ff6ff85040ba34e","observation_id":"34edda5f-78c4-4da3-9bc3-51d025739545","resolution":{"observed_at":"2026-08-05T12:34:45.302618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.312498Z","title":"Log2vec: A heterogeneous graph embedding based approach for detecting cyber threats within enter- prise,","venue":null,"work_id":"5b13a3dc-faa9-4c60-9537-30064f8d3dd1","year":2019},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.831961Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:32bf36745da94217ee46b80650de308f0d5b4ed4a990b7653451e377cd19fbbe","observation_id":"8b837bb8-f874-4687-a9d0-945a0884e431","resolution":{"observed_at":"2026-08-05T12:34:45.316908Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.274371Z","title":"Multi-modal auto-encoders as joint estimators for robotics scene understanding,","venue":null,"work_id":"fe7fc7d9-9940-4fb3-bc17-aaa41ca7a6af","year":2016},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.844799Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:b381f1514721b3e893aeeaf78ec85833a947b0668212e7c3c74a339a02eb8d39","observation_id":"58d0e087-e0a3-4d53-ae8d-ce5f9b91127d","resolution":{"observed_at":"2026-08-05T12:34:45.278638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.286580Z","title":"Multimodal deep learning,","venue":null,"work_id":"8772aba8-6861-4747-8a7f-e0f2fcec10da","year":2011},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.839956Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:77fda46f3dcc88704af25a27e8c416093a673101822eb9bba2dcea2c4e26571f","observation_id":"5616eff1-89f2-483b-99a1-e4684458e8ef","resolution":{"observed_at":"2026-08-05T12:34:45.290415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.247207Z","title":"Convolutional two- stream network fusion for video action recognition,","venue":null,"work_id":"48f17fcd-46c2-498b-8c6c-d7825747aedf","year":2016},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.852559Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:ee5b1b7a522f9540514bea7d925fa3292233e9ca2079bc20d2cea79c9754177e","observation_id":"7d601b63-23f5-4ee2-8ece-1fc9f023d81a","resolution":{"observed_at":"2026-08-05T12:34:45.251413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.259570Z","title":"Multi-view convolutional neural networks for 3d shape recognition,","venue":null,"work_id":"bd432cb7-6cad-4fb8-a09b-cc1d0b0d8139","year":2015},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.848542Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:27b62cf236749bf6030f4c1b1f61aa52b3ef0da0ceb7ad3994cf4bc1ac5679ea","observation_id":"968a697d-de86-413e-b0b2-cff3fa914f83","resolution":{"observed_at":"2026-08-05T12:34:45.264057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.220141Z","title":"Deep visual-semantic alignments for generating image descriptions,","venue":null,"work_id":"f857840e-373e-42fe-838e-bd6b24252cf4","year":2017},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.860335Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:655d36cbac36a864c17bc553d1fecf33dd1f4da654c7e2172037f80f95c4670f","observation_id":"8de8a106-5103-4f80-aa01-0ddad2f80e65","resolution":{"observed_at":"2026-08-05T12:34:45.225066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.234317Z","title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation,","venue":null,"work_id":"cf0de65b-d1fd-4c90-929c-e9ebd1ca86a1","year":2014},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.856432Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:81ad41e15720f7d68efb158343ca9c449ff09dea92ea9b1517bc9250361be575","observation_id":"2e606e4f-fbd1-4a06-b534-9cb601cedfb0","resolution":{"observed_at":"2026-08-05T12:34:45.238989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.207395Z","title":"Sequence to sequence - video to text,","venue":null,"work_id":"c8bed2b3-b0d4-43c3-8633-2be445b4e716","year":2015},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.869606Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:7b556c3e296f8ba0d367763b791c645b4185319cd16718804df697cee0ff902b","observation_id":"097dd09f-8ccd-4c8e-b6a0-70edc49a6535","resolution":{"observed_at":"2026-08-05T12:34:45.211316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1411.5654","last_updated":"2014-11-20T19:50:27Z","snapshot_observed_at":"2026-07-06T04:01:11.932860Z","submitted_at":"2014-11-20T19:50:27Z","title":"Learning a Recurrent Visual Representation for Image Caption Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.5654","snapshot_observed_at":"2026-08-05T12:34:44.865193Z","title":"Learning a recurrent visual representation for image caption generation,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.865193Z"},"links":{"cited_paper":"/paper/1411.5654","citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:5c9a362fe8ed705908016f84f2c0753cf7f8609e209f430585341f88fa50dd19","observation_id":"7bd1a0ca-50ea-4fcd-8447-c076fe8993ad","resolution":{"observed_at":"2026-08-05T12:34:44.865193Z","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":"2026-08-05T12:34:45.183465Z","title":"ITDBERT: temporal-semantic representation for insider threat detection,","venue":null,"work_id":"3b75f4ee-def8-438b-bdf4-5b41f23d749a","year":2021},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.877712Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:09d0b15a9e13c817fdad58656c065ea9504cbf735dd025ca903a445edadfed43","observation_id":"b4b0cb48-d65e-47b6-9f49-3b4994935820","resolution":{"observed_at":"2026-08-05T12:34:45.187512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.195543Z","title":"TweetNLP: Cutting- edge natural language processing for social media,","venue":null,"work_id":"5dc9ff79-c3bd-4675-b6f8-4aa1604c0da4","year":2022},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.873539Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:1e7535b60dc8a70cb42f843063055f9def6403c9372a433efc04ff433a9d27fd","observation_id":"e77e08f3-e48f-471e-9ccc-c037ec573493","resolution":{"observed_at":"2026-08-05T12:34:45.199645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.157990Z","title":"Lora: Low-rank adaptation of large language models,","venue":null,"work_id":"c937af7c-8b17-4590-a0f5-dd8594968f98","year":2022},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.885587Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:51864574306b3ce2fbbb55ebd004e60cec14da9753e4d2caad63afca1d9a4da3","observation_id":"0e2ca93a-6c8e-44d9-bebf-d0b42f32b6df","resolution":{"observed_at":"2026-08-05T12:34:45.162549Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.171298Z","title":"Theory and application of the information bottleneck method,","venue":null,"work_id":"7edcbcf2-bb49-4528-b260-dcd9839a6b40","year":2024},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.881566Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:efe73f8428dd80fdff0773eb168105d0648f79236ec38a3683142b321bed828d","observation_id":"8ac9fe94-699e-48e6-8513-f03d37b91b21","resolution":{"observed_at":"2026-08-05T12:34:45.175322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.131335Z","title":"Contextual feature representation for image-based insider threat classification,","venue":null,"work_id":"ea45fd92-f764-47bb-885b-8667801118f7","year":2024},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.893635Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:e5f102302eca21cf0a6d285c9a545f81675016d1d32163a767347ccdd72b4454","observation_id":"a2ae9af2-6784-467e-a9aa-82faefad4e77","resolution":{"observed_at":"2026-08-05T12:34:45.135544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.143747Z","title":"Confront insider threat: Precise anomaly detection in behavior logs based on LLM fine-tuning,","venue":null,"work_id":"9e13cc4c-8bb1-4381-b180-dac80b1801a5","year":2025},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.889517Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:1e990e8ce7a7a93555d3319213328c11dee902a6d3ae2c646c4084f2e99db524","observation_id":"e5f7a17b-626b-4988-be72-45e5c85d8e25","resolution":{"observed_at":"2026-08-05T12:34:45.147916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.117713Z","title":"Tweet- eval: Unified benchmark and comparative evaluation for tweet classi- fication,","venue":null,"work_id":"ba65ffe4-7618-4bc6-bb39-538c3c25bc77","year":2020},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.901932Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:22a1ef4fb1703d46faf727ff8523103550fa73f3a08e7906af3f56922169c401","observation_id":"e3709380-c700-400d-9bd7-7b2e3825985a","resolution":{"observed_at":"2026-08-05T12:34:45.122278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.3555","last_updated":"2014-12-11T06:46:53Z","snapshot_observed_at":"2026-08-03T11:40:51.182181Z","submitted_at":"2014-12-11T06:46:53Z","title":"Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.3555","snapshot_observed_at":"2026-08-05T12:34:44.897638Z","title":"Empirical evaluation of gated recurrent neural networks on sequence modeling,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.897638Z"},"links":{"cited_paper":"/paper/1412.3555","citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:f318e009db40867ea977cd1d55dd62508a50427a0bc3a0c8780e75a7fbc981d4","observation_id":"624b4dc2-41d7-4610-bae7-ca2be6b3e810","resolution":{"observed_at":"2026-08-05T12:34:44.897638Z","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":"2026-08-05T12:34:45.090738Z","title":"A high accuracy and adaptive anomaly detection model with dual-domain graph convolutional network for insider threat detection,","venue":null,"work_id":"3b531d2f-c97c-43c6-8905-92f54c1b8b56","year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.911490Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:6a69ff428f733a152f009c7ffbef18ff6f4b2376244814bd1cb3d9edbe5c31c0","observation_id":"d11dadbe-736c-470f-9919-322238ecc591","resolution":{"observed_at":"2026-08-05T12:34:45.095326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.103948Z","title":"Analyzing data granularity levels for insider threat detection using machine learning,","venue":null,"work_id":"ccda6ac6-2b1c-4037-97d9-8f1d52d03599","year":2020},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.906530Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:dfe0bef46fb1b0ddde8fc5dbe9787b60da07d9aaab74c8821e13718f2817027e","observation_id":"5b82590a-8bd3-476a-b740-ca0c03e6837b","resolution":{"observed_at":"2026-08-05T12:34:45.108195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.08902","last_updated":"2024-08-12T11:33:45Z","snapshot_observed_at":"2026-08-06T01:29:16.673490Z","submitted_at":"2024-08-12T11:33:45Z","title":"Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.08902","snapshot_observed_at":"2026-08-05T12:34:44.921197Z","title":"Audit-llm: Multi-agent collaboration for log-based insider threat detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.921197Z"},"links":{"cited_paper":"/paper/2408.08902","citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:852a9b8babb05d625192f7f5289e5a7618962dd505f58b23d50e400e5dd03f02","observation_id":"924210bc-0c81-4f4f-be6d-26a113cd38e1","resolution":{"observed_at":"2026-08-05T12:34:44.921197Z","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":"2026-08-05T12:34:45.078323Z","title":"Few-shot insider threat detection,","venue":null,"work_id":"0cfded99-70b8-49ec-829b-02de175eb198","year":2020},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.916462Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:6e386c8f7b8ffa1042a8ad68e97ab3ba63d72d1aba8ed809ad8acb92df640616","observation_id":"823f6e48-9f0f-485d-a560-042cdc5d84a5","resolution":{"observed_at":"2026-08-05T12:34:45.082375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.051143Z","title":"Openllama: An open reproduction of llama,","venue":null,"work_id":"fdfb1334-ca5b-453c-8b2f-66048a38f365","year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.930291Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:06dbdb3341c142ef58ec1a2e67fde200d9a643b2128ce74a1eef00c27cb6d168","observation_id":"72576846-5277-418e-9dd2-79630361ff14","resolution":{"observed_at":"2026-08-05T12:34:45.056192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-05T12:34:45.065173Z","title":"Bridging the gap: A pragmatic approach to generating insider threat data,","venue":null,"work_id":"e2033d0e-247c-4ac0-bd5a-0953bf40313a","year":2013},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.926087Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:f4cc6f64f6dce0f3fa793b98d1d7fd09aeceaebd6dd155b06720abb83ab650ce","observation_id":"f54c026e-8a6e-4b6f-b82e-92c82c01c76f","resolution":{"observed_at":"2026-08-05T12:34:45.069558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T12:34:44.934979Z","title":"Llama: Open and efficient foundation language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.934979Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:f7c1d672d8c0fce14588938be58c0ec982e666ffb9db048a140c008cf8ee4514","observation_id":"d5121b03-795a-4a66-ae27-2df3ac0155ae","resolution":{"observed_at":"2026-08-05T12:34:44.934979Z","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":"2026-08-05T12:34:45.629873Z","title":"Available: https://ponemonsullivanreport.com/2023/ 10/cost-of-insider-risks-global-report-2023/","venue":null,"work_id":"2f001752-7e3f-4ad4-8d0b-a418ffac1abb","year":2023},"citing_paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T12:34:44.716453Z"},"links":{"citing_paper":"/paper/2509.01509"},"observation_digest":"sha256:9186d624af7b4be529a4144c10ec59e60c08ca6e33d7d5627bdb6baed7ab31ef","observation_id":"c7d519e6-2315-4d83-a358-7698f243be92","resolution":{"observed_at":"2026-08-05T12:34:45.634703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.01509","last_updated":"2025-09-01T14:31:12Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-05T12:34:44.077657Z","submitted_at":"2025-09-01T14:31:12Z","title":"Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":1,"verified_fuzzy":44},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2509.01509."}