{"as_of":"2026-08-20T17:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f18751821566dd82c58b9eb5dc2564711cd0114e2d5813ec5e5c33d064bae2a2","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:02:09.926723Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:36:36.146052Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T15:36:40.575173Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"cited_work":{"arxiv_id":"2411.18755","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.18755","snapshot_observed_at":"2026-08-06T15:36:40.575173Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","venue":"cs.LG","work_id":"18811f49-cddb-43cf-8ba2-f9362b0e193c","year":2024},"citing_paper":{"arxiv_id":"2507.16852","last_updated":"2025-07-21T09:22:39Z","snapshot_observed_at":"2026-08-18T08:09:04.948934Z","submitted_at":"2025-07-21T09:22:39Z","title":"SynthCTI: LLM-Driven Synthetic CTI Generation to enhance MITRE Technique Mapping","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:36:36.146052Z"},"links":{"cited_paper":"/paper/2411.18755","citing_paper":"/paper/2507.16852"},"observation_digest":"sha256:c9950026d5b5cc7207841f28db0cd50a945c08096b2f638f620ff6fa1aa4c00b","observation_id":"cd046442-eae8-4dde-896b-34c1e53909cb","resolution":{"observed_at":"2026-08-06T15:36:40.579676Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.18755/citation-record","integrity":"/paper/2411.18755/integrity","json":"/paper/2411.18755/citation-record.json","paper":"/paper/2411.18755"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.628076Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.628076Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b1bf6f01f6ab80254f94862bd10c3b012b710bc3d7393f8f60647fdfe4a8ea9e","observation_id":"332c9f64-e0a4-4ceb-86fa-318494ec5bd5","resolution":{"observed_at":"2026-08-12T11:02:09.628076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.635671Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.635671Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:468e505c9dac30c10b254ce49d3baf3b0272bc00250815910f36c9e079f9e303","observation_id":"394e8996-87b4-4400-9dcb-48397a365722","resolution":{"observed_at":"2026-08-12T11:02:09.635671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.647737Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.647737Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b4c9236e197b04fce8d6995dfffb507e0629693d3f0980b0477ec0c5dfd294e4","observation_id":"31195d1d-3da6-46e3-a272-06d27f8e704e","resolution":{"observed_at":"2026-08-12T11:02:09.647737Z","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":"2026-08-12T11:02:10.813609Z","title":null,"venue":null,"work_id":"a63dd5a1-1133-4c31-a03a-c4f3035ba636","year":2023},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.654055Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:1637b35769675ace8203f79a06b443c187b2c8c35b445f155e45e30d6a772a6f","observation_id":"3174ce71-2c1a-4d5c-9226-d2043c5e7deb","resolution":{"observed_at":"2026-08-12T11:02:10.817937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/icmla.2017.0-122","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:10.256841Z","title":null,"venue":null,"work_id":"ddd283dc-a5d8-46ed-b87c-6fd97e0dfc70","year":2017},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.662351Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:4a257d744454e94f9e5f7ad674b091f371d7dbc907c80339790152141eb1bd04","observation_id":"b11071be-cdda-4d9c-b700-08e4c9648dac","resolution":{"observed_at":"2026-08-12T11:02:10.264264Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:09.667434Z","title":"Rivera, María J","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.667434Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:50829f3c558c18103d128298854f56ba81b2fe89bdf5edf006cd1d668b36fe66","observation_id":"979f3e81-9d2b-460e-8cb6-34c4502107ba","resolution":{"observed_at":"2026-08-12T11:02:09.667434Z","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":"2026-08-12T11:02:10.798841Z","title":"Chawla, Kevin W","venue":null,"work_id":"223093cd-b662-400e-bf3c-00cbe2c30b7c","year":2002},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.673548Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:f46af027bb0d9b76ffefb616ca8909057dd465beb57bf84401446e19dbe8cda0","observation_id":"06d0b0b1-af2f-4386-85c9-687a4c8156e2","resolution":{"observed_at":"2026-08-12T11:02:10.803368Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2020.findings-emnlp.426","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:10.217383Z","title":null,"venue":null,"work_id":"11477b97-987b-4936-b77f-cfa8f7bb3260","year":2020},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.682368Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:d5b937347a53f7d58566815438b2da55fd9f4a903836c1f233abe89ba8c817f4","observation_id":"ba8c32cd-3050-44fc-9c7d-e99c64fbb4a4","resolution":{"observed_at":"2026-08-12T11:02:10.223986Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-12T11:02:09.687690Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.687690Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:3a6688c967c13a4053f4f7dbe4304a3f67193bedcd0738ab20c7bc6c5e3c2fcd","observation_id":"66b99d7c-b506-49b3-a5d6-bd7177ed4d18","resolution":{"observed_at":"2026-08-12T11:02:09.687690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.696912Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.696912Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:9c9da0f9b77e1cc21b836b02493a7c2f240d7172f1ba3e98c5fba6b5b99a60fd","observation_id":"d1f2d06e-9345-44d8-8b24-273b9e91d39d","resolution":{"observed_at":"2026-08-12T11:02:09.696912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.702165Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.702165Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b0e10b1d4a3e1a02bbb3f1f9810329213b244fb24f8b43fd1bef8926b9e549aa","observation_id":"12cfee1a-6d8a-4280-90f5-1c17d6e0cdfa","resolution":{"observed_at":"2026-08-12T11:02:09.702165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.708997Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.708997Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:efb74782f186c8c10a4ca14242cd9b9b5d51da1a7e422dbe2b93297853f398c3","observation_id":"afd6eb05-6dad-4560-a1cb-d2b4ff1387fe","resolution":{"observed_at":"2026-08-12T11:02:09.708997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.717113Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.717113Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:4aad02bacbd863e8ee0d4f5cb358551f5aa58781f55ef1a85d7d9f92be685fdd","observation_id":"077954ac-a890-4fd4-88ae-80fe0f0f4da7","resolution":{"observed_at":"2026-08-12T11:02:09.717113Z","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":"2026-08-12T11:02:10.785233Z","title":null,"venue":null,"work_id":"3cbc20a8-2482-463a-8d35-4e20791bb207","year":2022},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.728421Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:1e50e2d4aa2cc32bc8a3b336e1c37a11166be0a89bdddd962befed683933e529","observation_id":"0f50bb15-4baf-43fd-bf37-a76436d3ed76","resolution":{"observed_at":"2026-08-12T11:02:10.789707Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:09.741138Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.741138Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:7d182e0e2cfb12dc2dc7f1ce9ccafc438fdd565d2553bc3994848140e870836a","observation_id":"edd5cd2d-7ac5-45a3-8c86-3625b120ccbd","resolution":{"observed_at":"2026-08-12T11:02:09.741138Z","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":"10.18653/v1/n19-1363","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:10.139480Z","title":null,"venue":null,"work_id":"0de001a1-e0dd-4a63-843f-e7fbb7521033","year":2019},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.749438Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:e1c65d9f575ff8dedd852b96046c48db82d23461b43d8c5a4beada666e1dacfa","observation_id":"1628e023-205e-4aed-b6dc-9bd82538668d","resolution":{"observed_at":"2026-08-12T11:02:10.144272Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.emnlp-main.34","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:10.122007Z","title":null,"venue":null,"work_id":"c4add115-3e4f-4ea9-91fd-c97ed3a1351b","year":2021},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.760758Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:6e1fa13c2fa8b919464fa23eba75d3055845e73c458637bc79ff350dc0344e47","observation_id":"a76f4e46-4a28-4734-9e2c-608026cbb5b0","resolution":{"observed_at":"2026-08-12T11:02:10.126695Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.14322","last_updated":"2020-04-29T16:45:14Z","snapshot_observed_at":"2026-08-19T19:31:58.152816Z","submitted_at":"2020-04-29T16:45:14Z","title":"Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.14322","snapshot_observed_at":"2026-08-12T11:02:09.770620Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.770620Z"},"links":{"cited_paper":"/paper/2004.14322","citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b388d93552fb5ba69bbc67847267794e5147164f206e41013c5df7ca9e68f3cf","observation_id":"a8eec7b8-b50e-419f-8850-b293abf19460","resolution":{"observed_at":"2026-08-12T11:02:09.770620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.778878Z","title":"Levenshtein","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.778878Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:1b8eafa7c99f70846465e8cee6eb999cc907db3368d00a94a3002df004799b4e","observation_id":"d7491d21-8c07-4f64-bc81-41519597d60c","resolution":{"observed_at":"2026-08-12T11:02:09.778878Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.10252","last_updated":"2020-07-20T16:42:29Z","snapshot_observed_at":"2026-08-13T22:04:33.292287Z","submitted_at":"2020-07-20T16:42:29Z","title":"XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup","version":1},"cited_work":{"arxiv_id":"2007.10252","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.10252","snapshot_observed_at":"2026-08-12T11:02:10.513164Z","title":"XMixup: Efficient Transfer Learning with Auxiliary Samples by Cross-domain Mixup","venue":"cs.LG","work_id":"0b8fd234-905b-492d-bed4-ad9a0ec4fa0e","year":2020},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.785176Z"},"links":{"cited_paper":"/paper/2007.10252","citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:bd15100a28a46eaef1eaef829d0808cbfaab92a15e00a957560d0a5fbb586b80","observation_id":"2e101767-8628-4115-a6f6-ea406bc65119","resolution":{"observed_at":"2026-08-12T11:02:10.520960Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:10.758194Z","title":null,"venue":null,"work_id":"3549f685-b993-469a-acf5-aad3f7eb16c2","year":2022},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.791244Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:41f14b01525d132265800f690af4c0e8a0f2f63dcdbb036ba75110a68ed49912","observation_id":"8ab7f6b4-cb7e-48dd-b02f-41015abe67ab","resolution":{"observed_at":"2026-08-12T11:02:10.762857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","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":"2026-08-12T11:02:09.795875Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.795875Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:4309d946d7b8c030fbcdd138ca84557545c200767b8279205fe754cf1621238b","observation_id":"76386e7d-84ac-473b-a1c2-fa4dc6303621","resolution":{"observed_at":"2026-08-12T11:02:09.795875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.800826Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.800826Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:be687c5c7473530eae1c5d39b9148c6eb8639dc8d52ca9b76cc2133376508e5a","observation_id":"a5363669-bc24-465c-a14f-e365869123ed","resolution":{"observed_at":"2026-08-12T11:02:09.800826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.811979Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.811979Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:2941965897eda144111d040ccf3178187621955e8a4614e9e545740cfed67521","observation_id":"2b23d55a-be86-4e62-8623-8d27f7ee5dc1","resolution":{"observed_at":"2026-08-12T11:02:09.811979Z","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":"10.18653/v1/2023.emnlp-industry.12","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:10.092384Z","title":null,"venue":null,"work_id":"cee6e8b3-f9da-498e-a2e2-17e43c70c66d","year":2023},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.816887Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:7ede2c321cfd4875425504a1cff24c922fd26bea3626732da2e625b0a6d6766b","observation_id":"ddfb6152-947e-46d5-b351-60cd9b4639e0","resolution":{"observed_at":"2026-08-12T11:02:10.097260Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.02601","last_updated":"2022-10-05T23:21:41Z","snapshot_observed_at":"2026-08-19T20:55:06.979440Z","submitted_at":"2022-10-05T23:21:41Z","title":"From Threat Reports to Continuous Threat Intelligence: A Comparison of Attack Technique Extraction Methods from Textual Artifacts","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.02601","snapshot_observed_at":"2026-08-12T11:02:09.822412Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.822412Z"},"links":{"cited_paper":"/paper/2210.02601","citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:6e5ed192f7c885b7ab172d86c55d7e7f6b058dc607c1f4825a4e6378ee63655a","observation_id":"bc9e0486-7ce3-4d9c-966e-bf3afce6d680","resolution":{"observed_at":"2026-08-12T11:02:09.822412Z","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":"2026-08-12T11:02:10.741542Z","title":null,"venue":null,"work_id":"6c6a7988-4ef7-4090-84f6-8100415e3052","year":2015},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.828812Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:c530ab9dcb12f39ef372981cff8b9ec5a7df0d7fb55010940c540743d82cbea6","observation_id":"2106e587-096e-4132-b70f-247b69d22e4f","resolution":{"observed_at":"2026-08-12T11:02:10.747064Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/d18-1545","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:10.053159Z","title":"o zde G \\","venue":null,"work_id":"ac155c5a-ad53-4bdd-ab19-6e8b4a7a93b1","year":2018},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.838846Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:6b3228f99e8e4884c3f729f64be6f8aaf01486c0b4df8ae489730c80ba81cada","observation_id":"c088168a-59a0-4c2a-bfa3-22256d4d06d8","resolution":{"observed_at":"2026-08-12T11:02:10.060295Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:10.721027Z","title":null,"venue":null,"work_id":"511e8074-fc0e-45d2-8f4d-c67d5cdeaeea","year":1975},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.848190Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:da1d09acb0db10183f86d481a65d8866891cca3dfec291bd76fe1845834b28fb","observation_id":"558a88a6-2493-4311-806f-2fd7bbc21f1e","resolution":{"observed_at":"2026-08-12T11:02:10.728233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.08478","last_updated":"2022-07-18T09:59:21Z","snapshot_observed_at":"2026-08-18T20:12:04.913527Z","submitted_at":"2022-07-18T09:59:21Z","title":"Towards Automated Classification of Attackers' TTPs by combining NLP with ML Techniques","version":1},"cited_work":{"arxiv_id":"2207.08478","doi":"10.48550/arxiv.2207.08478","metadata_source":"pith","pith_arxiv_id":"2207.08478","snapshot_observed_at":"2026-08-12T12:16:16.734455Z","title":"Towards Automated Classification of Attackers' TTPs by combining NLP with ML Techniques","venue":"cs.CR","work_id":"fc0ab9d4-8172-41b7-883b-aac294e22d59","year":2022},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.869314Z"},"links":{"cited_paper":"/paper/2207.08478","citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:6ba2c7b6c8d2f629349b3ce3abcf5e571c932f63020f55725ae5df2454259e99","observation_id":"347eb44e-2e18-4ad2-8d00-f69ca5a6744d","resolution":{"observed_at":"2026-08-12T11:02:10.040878Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:09.878416Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.878416Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:93f50d7f7b77e1d3f3be655fcd6b7f1d71d4a33daaddcc1aa46000db164c4f78","observation_id":"26349c40-b3b0-466f-a2e9-e5ab46194b0e","resolution":{"observed_at":"2026-08-12T11:02:09.878416Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.887026Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.887026Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:5e922d0e991d48f7103a1ab692d22c6249abfe7c0f27f16741c3065a0bf8d64f","observation_id":"69804f73-ccb5-4e8d-8a31-6fb6f858cfb2","resolution":{"observed_at":"2026-08-12T11:02:09.887026Z","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":"10.1016/j.cose.2017.09.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.986813Z","title":null,"venue":null,"work_id":"4290cdaf-e914-44df-b762-9301074900e9","year":2017},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.894661Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:7e07ae821ce97e23c6f3c9a97f17d4af6b76032fee28b8aebab15520c2cb7928","observation_id":"90e641a6-0d85-491c-90d9-dbfcd819515d","resolution":{"observed_at":"2026-08-12T11:02:09.992368Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:10.699279Z","title":null,"venue":null,"work_id":"6957e032-b565-4608-8856-dbf3c266ab22","year":2018},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.901641Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b009a11fb4927b4e979c71c4502997ff0d02cd0aac59e1476c542fd640af97d0","observation_id":"a60bdbc5-d9c4-42bf-ab9c-9b43da2e4193","resolution":{"observed_at":"2026-08-12T11:02:10.706630Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:09.910198Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.910198Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:9dfa1db6fefbf4abe4afb05a7b518e159eaf0ce111f72a30492041954ec12427","observation_id":"1c780a3d-d6c4-40e0-8add-9a59db230866","resolution":{"observed_at":"2026-08-12T11:02:09.910198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T11:02:09.916031Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.916031Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:1802adb3e5a1a823af85c1af62ca236d68bd2735e770b56b84947db6abb87224","observation_id":"57b6ccc9-fc43-43a6-9c4e-f16abfe24522","resolution":{"observed_at":"2026-08-12T11:02:09.916031Z","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":"2026-08-12T11:02:10.671758Z","title":null,"venue":null,"work_id":"8f3dbb75-e5fc-4e4c-833f-45e4e6d3a42e","year":2020},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.921441Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b987a632ad8d4e5dc2d051dc86855f21f93233f1239fe79b3277bb94b3edd7db","observation_id":"a952d4f5-7400-4dcf-bde0-e832e11a9188","resolution":{"observed_at":"2026-08-12T11:02:10.676652Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-12T11:02:10.655200Z","title":"Dauphin, and David Lopez-Paz","venue":null,"work_id":"b44f73eb-b1b3-4673-a694-327dda5fa0e0","year":2018},"citing_paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-12T11:02:09.926723Z"},"links":{"citing_paper":"/paper/2411.18755"},"observation_digest":"sha256:b7b676753b47f8f22f242334c0432852c93a0447822b3a355890635a321777c8","observation_id":"fa534ea1-1098-4aec-874b-9f8f0b24fc47","resolution":{"observed_at":"2026-08-12T11:02:10.660405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.18755","last_updated":"2024-11-27T21:09:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T13:48:30.105288Z","submitted_at":"2024-11-27T21:09:02Z","title":"Cyber-Attack Technique Classification Using Two-Stage Trained Large Language Models"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":9,"verified_fuzzy":2},"total_outbound_references":38},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2411.18755."}