{"as_of":"2026-08-22T11:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34c8b9ebe54faab4d2099e46c0f3e136a0a25443a1176a8b08d6de5e8a29c52e","coverage":[{"denominator":91,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":91,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:18:46.919677Z","state":"measured"},{"denominator":92,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":92,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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":"2026-08-01T16:10:50.554742Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16968","snapshot_observed_at":"2026-08-01T16:10:50.554742Z","title":"Mm-attackg: A multimodal approach to attack graph construction with large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.18108","last_updated":"2026-07-20T16:08:23Z","snapshot_observed_at":"2026-08-19T06:39:07.389651Z","submitted_at":"2026-07-20T16:08:23Z","title":"GARAGE: Characterizing the Automation Boundary in LLM-based Attack Graph Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-01T16:10:50.554742Z"},"links":{"cited_paper":"/paper/2506.16968","citing_paper":"/paper/2607.18108"},"observation_digest":"sha256:9cf4c48a91fc3ada0ac58dfcf3e7d84f6ee1abc2def2cb97a7157da654888bc8","observation_id":"81f3ef45-572a-49fd-bdcb-cb63cea73d26","resolution":{"observed_at":"2026-08-01T16:10:50.554742Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.16968/citation-record","integrity":"/paper/2506.16968/integrity","json":"/paper/2506.16968/citation-record.json","paper":"/paper/2506.16968"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T19:18:45.214362Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.214362Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:bbed23332a739ec0e83f2fc8a2e45106c35d5d5c501598e40462f311fa24281a","observation_id":"55b2e24f-67ee-43f7-9612-40e71fb10136","resolution":{"observed_at":"2026-08-15T19:18:45.214362Z","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":"2026-08-15T19:18:45.258517Z","title":"Venkatakrishnan","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.258517Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:5d8ef151b45f76c1aea33653cd2a9876a293d08dbb2d0b6f06d2292a85aa0883","observation_id":"1116aa33-0d9c-4eda-beb0-1c3595167bf6","resolution":{"observed_at":"2026-08-15T19:18:45.258517Z","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":"2026-08-15T19:18:45.262820Z","title":"Threatkg: A threat knowledge graph for automated open-source cyber threat intelligence gathering and management, 12 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.262820Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:12b7adccb3166280122ba56d9cf57e2ebc73cfdaaa0682b56efaf66666a1e579","observation_id":"4d3d1db6-5535-4f9d-a151-c4ac1414da5d","resolution":{"observed_at":"2026-08-15T19:18:45.262820Z","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":"2026-08-15T19:18:45.266765Z","title":"Automated generation of attack graphs using nvd","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.266765Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2394ca2bdeba473aa3aabc08a0e93d7463dccc88bb024af9c18f2d3da4b35871","observation_id":"4d9205bd-a941-4271-b63a-817e001c8c70","resolution":{"observed_at":"2026-08-15T19:18:45.266765Z","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":"2026-08-15T19:18:45.270883Z","title":"Ttpdrill: Automatic and accurate extraction of threat actions from unstructured text of cti sources","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.270883Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:6f88f0b59e69a825ba2f2f75e03a4181fb82f539f1bcdb7611beb9bcf05a3330","observation_id":"02276269-ae43-423c-a223-3a3449111864","resolution":{"observed_at":"2026-08-15T19:18:45.270883Z","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":"2026-08-15T19:18:45.274203Z","title":"Detection of breast cancer lesions using apt weighted mri: a systematic review.Journal of Translational Medicine, 23, 01 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.274203Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:df255009de170ec9f9502545399adc95a706ab181308faafefe9b54524a945a8","observation_id":"1c361fdd-289b-4f02-be62-4d23daf39d58","resolution":{"observed_at":"2026-08-15T19:18:45.274203Z","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":"2026-08-15T19:18:45.278165Z","title":"Improving apt detection with ensemble learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.278165Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:24017a3086b919a5f580da13334bb4d9fb0b595ac71e1f66423528f04f7f5050","observation_id":"707bc023-d38f-46aa-874e-a9a7c48d1aac","resolution":{"observed_at":"2026-08-15T19:18:45.278165Z","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":"2026-08-15T19:18:45.281917Z","title":"Reframing the role of academic professional track (apt) faculty","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.281917Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:30b0340b663f0421cf82fce245e207330077ecb644575d5b918fc03f0f601e05","observation_id":"53604c37-c1bc-4802-8885-946bf840954a","resolution":{"observed_at":"2026-08-15T19:18:45.281917Z","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":"2026-08-15T19:18:45.285269Z","title":"Advanced persistent threat (apt), 10 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.285269Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:025b96fe124e50f595439c8f4f59405d0b2d61eb16e241e0be77b57ee20f590a","observation_id":"a3348368-cd61-4725-a576-d1774e5d9725","resolution":{"observed_at":"2026-08-15T19:18:45.285269Z","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":"2026-08-15T19:18:45.291900Z","title":"Automatically labeling cyber threat intelligence reports using natural language processing","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.291900Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:bedb3b1db5e892edbf739e774476f84ddee6dc17f1e83db2dff7844660531d17","observation_id":"41888fa3-9f55-4e44-9fdb-4fb6e2053c25","resolution":{"observed_at":"2026-08-15T19:18:45.291900Z","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":"2026-08-15T19:18:45.296244Z","title":"Enhancing cyber threat in- telligence with named entity recognition using bert-crf","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.296244Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:3225f86d51902c31b2489195560f3efbe6e7a45938d21699ac6eed6ef28c953c","observation_id":"853b8b82-c1d0-4664-83ed-5366265a64f3","resolution":{"observed_at":"2026-08-15T19:18:45.296244Z","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":"2026-08-15T19:18:50.276555Z","title":"Attackg+: Boosting attack graph construction with large language models.Computers & Security, 150:104220, 2025","venue":null,"work_id":"316be869-8bce-4cbc-a8f8-51c838b899bb","year":2025},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.300206Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:8442aea589b7b8956bd9f9e7cfbd612e6a127adeb81507a0fc9e057ad74f17d7","observation_id":"5e3e2590-a10d-4a94-8d8b-89ce6b6cdbc7","resolution":{"observed_at":"2026-08-15T19:18:50.368757Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:45.304106Z","title":"Deep residual learning for image recognition","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.304106Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:226b471d4ecebade9118a50e67bb27665947b6316d1cfd8b5f337d44d16d1b67","observation_id":"62564eed-14b3-4df0-85a9-ceaabe31b51f","resolution":{"observed_at":"2026-08-15T19:18:45.304106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-15T19:18:45.354085Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale.arXiv preprint arXiv:2010.11929, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.354085Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:138b2b9f1df1a58e1954e06c6932525c110258777e0bc503e6c213c6270fb83b","observation_id":"a255bd83-8b3b-43fc-bd11-405f674f4091","resolution":{"observed_at":"2026-08-15T19:18:45.354085Z","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":"2026-08-15T19:18:45.453784Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.453784Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:b56753dc48fa54b50f5312182e361f85401c6c778e05f73c44ba0154a4459e3b","observation_id":"f784b9f3-e1f7-4ea4-81e7-72ad6c05ebe8","resolution":{"observed_at":"2026-08-15T19:18:45.453784Z","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":"2026-08-15T19:18:50.249652Z","title":"Mm-forecast: A multimodal approach to temporal event forecasting with large language models","venue":null,"work_id":"78dd348c-4c79-4c3b-9824-e49dd3142217","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.488954Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:22d87c4615e44bedb14f4fa7cf382b6434b2ce5922b22606ce757bbfd6ff822b","observation_id":"735c7377-8ae6-4cdb-9053-0d1198e7a829","resolution":{"observed_at":"2026-08-15T19:18:50.254054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:50.142170Z","title":null,"venue":null,"work_id":"4566b11c-69c0-4e03-a139-c6ba33d6253a","year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.492377Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:7375a00735fdc9ba98cf31c79c3ef965db4dc86e7c8ef41571f80746e1317c70","observation_id":"7bf332cb-f21d-40ca-96c2-2ab1ced8512c","resolution":{"observed_at":"2026-08-15T19:18:50.242852Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:50.096066Z","title":"Acing the ioc game: Toward automatic discovery and analysis of open-source cyber threat intelligence","venue":null,"work_id":"b19be724-3429-4d36-b5ef-ecc0f32783d0","year":2016},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.496704Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:8fd8312234dda4ac683a107bfae516fd49f47376b09b07b40a0a104674195c60","observation_id":"65e9f661-5eac-4c48-babc-f2fd2ab501f1","resolution":{"observed_at":"2026-08-15T19:18:50.099711Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:50.082391Z","title":null,"venue":null,"work_id":"ab8abf32-0128-47dc-b210-d6912a079e27","year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.517336Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:89c7ac6ccb93dedc2f86605ef4ecd6cf732c247e369d46e8d24b0fa1ff1d56b7","observation_id":"bb83b2d0-e375-4085-89ac-04efdc582777","resolution":{"observed_at":"2026-08-15T19:18:50.086627Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:50.028182Z","title":"Semi-automated information extraction from unstructured threat advisories","venue":null,"work_id":"a5e878e3-4919-4b4f-a9c0-51d651308310","year":2017},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.591122Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2b5176dd4accd5bfe7149995917372e2772b6cbc4ac53adf40acd308b4180da9","observation_id":"b2e23734-2e6e-41e9-85f9-18f77000b111","resolution":{"observed_at":"2026-08-15T19:18:50.076009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.982967Z","title":"A supervised machine learning based approach for automatically extracting high-level threat intelligence from unstructured sources","venue":null,"work_id":"fd5247ec-1f0b-4565-bf9c-b0532fe9c66f","year":2018},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.617497Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:24788b5faa3956c86fcf4baa7d0699f6f8d661bbb7174f4fe0fadc7bf34583fe","observation_id":"781c8f4a-40bb-4528-b973-9f5e3a86a716","resolution":{"observed_at":"2026-08-15T19:18:50.002189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.969959Z","title":"Using entropy and mutual information to extract threat actions from cyber threat intelligence","venue":null,"work_id":"6c7386d1-21df-4e5c-b86e-a86cfc7669a3","year":2018},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.621109Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2cfb63835ec951de6cbcfe16de66f70ae396ae776505aad08d58fef729e60288","observation_id":"2333cc55-2602-4beb-8faf-00e5b4bf5543","resolution":{"observed_at":"2026-08-15T19:18:49.974627Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.956839Z","title":"Cyberentrel: Joint extraction of cyber entities and relations using deep learning.Computers & Security, 136:103579, 2024","venue":null,"work_id":"5129df50-e427-40fe-8d3c-acde163d5cb9","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.624874Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:4bd8133d4a7fc34fdb6fdfdb58466b88fe202604d7c3a0ed74713e81c9640dbc","observation_id":"24d7ab80-9708-4e65-a53a-e27b6a7507c4","resolution":{"observed_at":"2026-08-15T19:18:49.961874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.897743Z","title":"Threat action extraction based on coreference resolution","venue":null,"work_id":"15e663e4-798d-4e83-bca1-f05ef7476a1f","year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.628580Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:adecd6dd49e3e4cb69719fc95babb709a49fa1036d62b0ea388a84c436c84e68","observation_id":"523ec98a-9ce4-45d6-9fde-61e1c602d043","resolution":{"observed_at":"2026-08-15T19:18:49.926114Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.851741Z","title":"Atdg: An automatic cyber threat intelligence extraction model of dpcnn and bigru combined with attention mechanism","venue":null,"work_id":"bc51cc35-7ba8-4f52-ab1e-a8b21bd3b8ad","year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.632130Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:40f1a8a2e417871f62e9722a9fd202a79a0fa9ca52cc13e88f1c5b20f3ffe73e","observation_id":"41867264-21c6-4845-9c45-5852456c4b55","resolution":{"observed_at":"2026-08-15T19:18:49.857988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.838753Z","title":"A span-based multivariate information- aware embedding network for joint relational triplet extraction of threat intelligence.Knowledge-Based Systems, 295:111829, 2024","venue":null,"work_id":"73783756-e584-4312-b96b-5875365fc1cb","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.635500Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:bc9b96f09eb43b29bf1b6b5cd44fd811f3c2580dab01e53a77c7ec4672a27664","observation_id":"b3e6a05a-8a74-4c92-85e9-e24e3f8f88c5","resolution":{"observed_at":"2026-08-15T19:18:49.844004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.777584Z","title":"Knowcti: Knowledge-based cyber threat intelligence entity and relation extraction.Computers & Security, 141:103824, 2024","venue":null,"work_id":"c72aa53e-6705-40d3-ba90-e59df2ffa4dd","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.639172Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:fdccadec080f3ce2bcaa0db15ee03fa20cb04af5be382e69030ea4a7ffdd43e4","observation_id":"4b314168-aeae-45ee-b3d0-a0e254fcff8d","resolution":{"observed_at":"2026-08-15T19:18:49.799970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.764328Z","title":"Automated threat report classification over multi-source data","venue":null,"work_id":"420252e5-6e12-4941-9541-1718fecd4e40","year":2018},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.642706Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:993a78cb1e4a621d742038b4d64f0a2e5a48c3499844685b056548a1cc2cddae","observation_id":"2b264594-4673-4eba-af7d-8de553c5dba9","resolution":{"observed_at":"2026-08-15T19:18:49.770287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.738387Z","title":"Seqmask: Behavior extraction over cyber threat intelligence via multi-instance learning.The Computer Journal, 67(1):253–273, 2024","venue":null,"work_id":"52e2b74e-b95b-4d8d-86c7-26ce556fde11","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.649825Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2e86d8d6e0782f8b8abf36005629e75fcd1fd23daed168d89464c88165d61c43","observation_id":"e7d42a9c-eb90-4ac6-93a3-44defade7811","resolution":{"observed_at":"2026-08-15T19:18:49.755293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.688066Z","title":"Threat intelligence att&ck extraction based on the attention transformer hierarchical recurrent neural network.Applied Soft Computing, 122:108826, 2022","venue":null,"work_id":"7995ba0a-4ef8-491d-befe-566c4b1c48eb","year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.666066Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:51b9fc8d28d488a9dbe2ad2dbb86f5b27b3abebee71cf81bfd30a8888195fd33","observation_id":"b28f6cf6-a673-4a90-a787-5f3dc5569737","resolution":{"observed_at":"2026-08-15T19:18:49.700583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.676159Z","title":"Tim: threat context-enhanced ttp intelligence mining on unstructured threat data.Cybersecurity, 5(1):3, 2022","venue":null,"work_id":"6f833eee-1122-4165-9e76-61669bb4380c","year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.701382Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:c7b99c9aa1f0fbb64f8561513dc31bd70556c8f504e2dd8f4f533a3c71c44eae","observation_id":"d35a7144-f00b-43f6-9f26-8e593b2c4fdb","resolution":{"observed_at":"2026-08-15T19:18:49.680397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.607152Z","title":"Multimodal graph analysis of cyber attacks","venue":null,"work_id":"3808d04f-aa30-4fd4-b10d-cc1020c8ac2c","year":2019},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.735454Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2c0adfee8515757bbe4ded0e852d3888a293620722bceea62fbd975391d75c07","observation_id":"aa9e7b31-6549-4bcb-8a54-7d60ceb10728","resolution":{"observed_at":"2026-08-15T19:18:49.647680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.594071Z","title":null,"venue":null,"work_id":"28f94894-f17a-4eec-9f4b-194540b9b4d3","year":2019},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.810062Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:bbbe0c11a3eb4c70b4d99ac816932976a560cdf1a7d7ba93bfa39df433fa3a6d","observation_id":"b777d375-65a4-47af-99e0-5c47b769a566","resolution":{"observed_at":"2026-08-15T19:18:49.598660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.515236Z","title":"{KnowPhish}: Large language models meet multimodal knowledge graphs for enhancing{Reference-Based} phishing detection","venue":null,"work_id":"8d86fcfd-5fd7-4f39-b515-a5fe73381d3e","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.901198Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:e431c3112e013a69181f71f284ea0fcbed941749c89c3f0be600d9e08cfdc71c","observation_id":"ea6e4bc5-c367-41ad-8d37-7194ead9db41","resolution":{"observed_at":"2026-08-15T19:18:49.568010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.500599Z","title":"Ex-action: Automatically extracting threat actions from cyber threat intelligence report based on multimodal learning.Security and Communication Networks, 2021(1):5586335, 2021","venue":null,"work_id":"a821e6c3-07a8-4b43-bc07-8a9b94d48d1d","year":2021},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:45.977133Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:b84d16ffe49aeeed52bbd2797c713204fde0830a3f7cceea37b1c6ab0d21241c","observation_id":"45b0bfea-e6cb-475a-bbb1-f0d920546184","resolution":{"observed_at":"2026-08-15T19:18:49.506419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:49.317515Z","title":"Apt-mmf: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion.Computers & security, 144:103960, 2024","venue":null,"work_id":"2a8d180f-b473-4f11-a8c3-8e852bb65119","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.074195Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:6b32705f66cf0f7b4666fd72b14e2d9453a7f1e637f53e085a0b951891b15b75","observation_id":"6ee04d1e-e93d-47e9-84ee-4ee74e6f95dc","resolution":{"observed_at":"2026-08-15T19:18:49.446588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.19526","last_updated":"2024-09-29T02:55:38Z","snapshot_observed_at":"2026-08-19T06:39:32.479647Z","submitted_at":"2024-09-29T02:55:38Z","title":"Efficient Backdoor Defense in Multimodal Contrastive Learning: A Token-Level Unlearning Method for Mitigating Threats","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.19526","snapshot_observed_at":"2026-08-15T19:18:46.078166Z","title":"Efficient backdoor defense in multimodal contrastive learning: A token-level unlearning method for mitigating threats.arXiv preprint arXiv:2409.19526, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.078166Z"},"links":{"cited_paper":"/paper/2409.19526","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:59a7edaf1e71fa630940be29cae5a49f1cb266fd4013b4f1f44c6013a7a35c4c","observation_id":"2e509585-1751-449e-8b6b-af4d743499a6","resolution":{"observed_at":"2026-08-15T19:18:46.078166Z","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":"2026-08-15T19:18:49.146285Z","title":"Nightshade: Prompt-specific poisoning attacks on text-to-image generative models","venue":null,"work_id":"9d0aeebf-4042-4061-a8dd-b75c1f72b486","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.082403Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:9293855a6d8fcb87f27d0f9d5d9626f93f06c9c3a7167db2c098c617b85ad132","observation_id":"9c09244b-a196-4d5f-a383-242e0818085f","resolution":{"observed_at":"2026-08-15T19:18:49.151483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10766","last_updated":"2025-03-15T00:49:45Z","snapshot_observed_at":"2026-08-22T05:01:50.162379Z","submitted_at":"2023-12-17T17:02:14Z","title":"JailGuard: A Universal Detection Framework for LLM Prompt-based Attacks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.10766","snapshot_observed_at":"2026-08-15T19:18:46.086277Z","title":"Jailguard: A universal detection framework for llm prompt-based attacks.arXiv preprint arXiv:2312.10766, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.086277Z"},"links":{"cited_paper":"/paper/2312.10766","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2488f00b4bdfdffed7b73813cfd376edfce84a08a42a332f9f790fb7556c8a27","observation_id":"edfb1636-9672-4a84-805e-8abc716428af","resolution":{"observed_at":"2026-08-15T19:18:46.086277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.12132","last_updated":"2023-03-21T18:45:09Z","snapshot_observed_at":"2026-08-20T18:49:09.327001Z","submitted_at":"2023-03-21T18:45:09Z","title":"Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.12132","snapshot_observed_at":"2026-08-15T19:18:46.090227Z","title":"Fundamentals of generative large language models and perspectives in cyber-defense.arXiv preprint arXiv:2303.12132, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.090227Z"},"links":{"cited_paper":"/paper/2303.12132","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:8b511b8ca547709b3a901e2e7abc1324faf0e6d0094cedf33a59421e216aa96c","observation_id":"10c354aa-8d46-4194-8e40-0918d9cd9dba","resolution":{"observed_at":"2026-08-15T19:18:46.090227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.07110","last_updated":"2023-12-12T09:39:03Z","snapshot_observed_at":"2026-08-19T06:39:19.845053Z","submitted_at":"2023-12-12T09:39:03Z","title":"LLMs Perform Poorly at Concept Extraction in Cyber-security Research Literature","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.07110","snapshot_observed_at":"2026-08-15T19:18:46.094941Z","title":"Llms perform poorly at concept extraction in cyber-security research literature.arXiv preprint arXiv:2312.07110, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.094941Z"},"links":{"cited_paper":"/paper/2312.07110","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:3ee2ea7e3d32abf8c700dfe7c64a1d053d5f1c70086adb10bacccd1b0f5c3b86","observation_id":"adf7e707-935b-4a98-baa6-df329149a7df","resolution":{"observed_at":"2026-08-15T19:18:46.094941Z","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":"2026-08-15T19:18:46.100277Z","title":"Raglog: Log anomaly detection using retrieval augmented generation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.100277Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:72f73ccc401e3414158287222e4728b5b088262a369075cc9d8c4796d3124b59","observation_id":"f64fa536-bf19-4e2f-a5e3-cabd03e18e2b","resolution":{"observed_at":"2026-08-15T19:18:46.100277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.14263","last_updated":"2024-02-08T07:06:39Z","snapshot_observed_at":"2026-08-21T17:15:02.735099Z","submitted_at":"2023-06-25T15:04:21Z","title":"Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.14263","snapshot_observed_at":"2026-08-15T19:18:46.103594Z","title":"Revolutionizing cyber threat detection with large language models.arXiv preprint arXiv:2306.14263, pages 195–202, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.103594Z"},"links":{"cited_paper":"/paper/2306.14263","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:e6368727abab0b7544cbff6f1025abe71a05736e520f28659f748684c6c6bb43","observation_id":"e647c082-647e-4875-be16-93733be48a38","resolution":{"observed_at":"2026-08-15T19:18:46.103594Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15336","last_updated":"2023-05-24T16:49:51Z","snapshot_observed_at":"2026-08-19T08:10:25.518127Z","submitted_at":"2023-05-24T16:49:51Z","title":"From Text to MITRE Techniques: Exploring the Malicious Use of Large Language Models for Generating Cyber Attack Payloads","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15336","snapshot_observed_at":"2026-08-15T19:18:46.107371Z","title":"From text to mitre techniques: Exploring the malicious use of large language models for generating cyber attack payloads.arXiv preprint arXiv:2305.15336, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.107371Z"},"links":{"cited_paper":"/paper/2305.15336","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:b4ac3571ec71b93f7bb1473039a0e3ba3037ff7772910487486fd72b0c10c920","observation_id":"d79ca5b0-97d1-4d25-8a7b-788c8f514d52","resolution":{"observed_at":"2026-08-15T19:18:46.107371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12086","last_updated":"2023-08-28T09:42:59Z","snapshot_observed_at":"2026-08-20T18:51:19.055168Z","submitted_at":"2023-08-23T12:11:27Z","title":"Out of the Cage: How Stochastic Parrots Win in Cyber Security Environments","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12086","snapshot_observed_at":"2026-08-15T19:18:46.110512Z","title":"Out of the cage: How stochastic parrots win in cyber security environments.arXiv preprint arXiv:2308.12086, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.110512Z"},"links":{"cited_paper":"/paper/2308.12086","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:f211c234b4b6bffdca69fae2d942c2d6fb19357904f7d7d007b24ea532920de4","observation_id":"c4697558-f889-46ed-8bae-d47db23cfc9b","resolution":{"observed_at":"2026-08-15T19:18:46.110512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06936","last_updated":"2023-10-10T18:49:20Z","snapshot_observed_at":"2026-08-19T06:39:30.373755Z","submitted_at":"2023-10-10T18:49:20Z","title":"LLMs Killed the Script Kiddie: How Agents Supported by Large Language Models Change the Landscape of Network Threat Testing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06936","snapshot_observed_at":"2026-08-15T19:18:46.113844Z","title":"Llms killed the script kiddie: How agents supported by large language models change the landscape of network threat testing.arXiv preprint arXiv:2310.06936, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.113844Z"},"links":{"cited_paper":"/paper/2310.06936","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:06a733e7b422008e317051428820627d9e2173b89cf4f87a8f6e82d978369dc3","observation_id":"5378dff8-45c2-43de-b35e-3f47b699b3be","resolution":{"observed_at":"2026-08-15T19:18:46.113844Z","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":"2026-08-15T19:18:49.126812Z","title":"Building resilient smes: Harnessing large language models for cyber security in australia","venue":null,"work_id":"55c0de68-3577-477a-a95e-6261b3ec3e0b","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.118301Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:92900aae2e18d8df77a6b8d54fe33cb2b3f4b8dc42e8b70d3d634c56ea428566","observation_id":"f3f3ac35-dc95-47c4-adc9-65cd6b39cd9b","resolution":{"observed_at":"2026-08-15T19:18:49.132010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.923861Z","title":null,"venue":null,"work_id":"fff7594a-d568-4e21-8d46-251d34c01a64","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.273832Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:10d99bb07782324787713ed953fdd4eb2995e4f37d3d6779321d81c25911c84b","observation_id":"6c5b4a66-027a-4b42-88ed-62602af2a1dc","resolution":{"observed_at":"2026-08-15T19:18:48.927971Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.951878Z","title":null,"venue":null,"work_id":"7273c4b6-02d2-4c46-b2a2-184de9484ca1","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.121201Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:8677d06e919e9ca46ef34a78ae5be6f131cf4bdd85a90c30a8604fe664d7b321","observation_id":"c722e40a-f59b-43c7-9f5f-a4d64f953106","resolution":{"observed_at":"2026-08-15T19:18:49.045892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.913913Z","title":null,"venue":null,"work_id":"3d3ac5fb-e4f5-4482-a6c2-9bc8ac32a1f5","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.373226Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:1fcd31094b090b1d721931f096a2eeba77f04e12c9b04663cf25c6c757983744","observation_id":"b0710b8e-a884-4636-a4af-41403f253b8b","resolution":{"observed_at":"2026-08-15T19:18:48.916989Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.00234","last_updated":"2024-10-05T11:47:02Z","snapshot_observed_at":"2026-07-06T14:36:25.690733Z","submitted_at":"2022-12-31T15:57:09Z","title":"A Survey on In-context Learning","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.00234","snapshot_observed_at":"2026-08-15T19:18:46.124486Z","title":"A survey on in-context learning.arXiv preprint arXiv:2301.00234, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.124486Z"},"links":{"cited_paper":"/paper/2301.00234","citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:373af7a96c24323739377757ef9402a318cbd9e1aec3ae573cf8fd715ba32a2d","observation_id":"ae588fd8-454f-4d66-9703-8685129783c7","resolution":{"observed_at":"2026-08-15T19:18:46.124486Z","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":"2026-08-15T19:18:46.128465Z","title":"Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.128465Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:71bbcb438b782255abe272d09c1e42b947a6a80bab5e52beca35a126e37ad0d0","observation_id":"9e6f5d98-fc30-4b57-a49a-1299d6aebe98","resolution":{"observed_at":"2026-08-15T19:18:46.128465Z","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":"2026-08-15T19:18:48.935574Z","title":"Covert Grove","venue":null,"work_id":"299fea8e-aaab-45de-b723-ed5c2b3e7afd","year":2024},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.145160Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:3ef520444b387e0b8629e0de806002de08f3be4c5df727a81cf3a818cc309c8d","observation_id":"265bcaa0-d265-4dff-98b7-13888c2f08a6","resolution":{"observed_at":"2026-08-15T19:18:48.939385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.865369Z","title":null,"venue":null,"work_id":"771975df-90e1-45e8-9e89-f7c3df881524","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.439561Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:b56a47cb4d47d53c9aa52258b716bf1d701403f0738941184644234aed59b835","observation_id":"8e415524-f1b0-413d-b039-7c9b5aa79fae","resolution":{"observed_at":"2026-08-15T19:18:48.906719Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.675376Z","title":null,"venue":null,"work_id":"f7695eeb-8189-4e99-badb-1611f54b0d98","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.507984Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:150f3151cff54e64626fc18dec99fcce31b691fa34fb579446ed86b814c37218","observation_id":"a250dcf4-51f2-49a8-a722-24f72408ba5b","resolution":{"observed_at":"2026-08-15T19:18:48.767395Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.663245Z","title":"What is/are the XXX of/in the image?","venue":null,"work_id":"544feccd-62bc-4cca-9f0f-b08e4d0e98c2","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.511988Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:c2dc6ddca0c3a0ac597503ef2293bee33938196147f60cfb450e0a514b721a43","observation_id":"8651639e-40cc-4e3a-a786-a7463c9a8b2a","resolution":{"observed_at":"2026-08-15T19:18:48.667542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.651328Z","title":null,"venue":null,"work_id":"ddca7ae2-ae18-41aa-b75f-9dc47fb9b957","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.515836Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:96d20f5847174fd857639fffda2207bd534d64ed741f0545adc214641f8223aa","observation_id":"558ad8f4-cef5-409f-8d48-febfabc479bb","resolution":{"observed_at":"2026-08-15T19:18:48.655024Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.641150Z","title":null,"venue":null,"work_id":"25b3f03f-0f23-4b98-9f80-fa5c47b7e914","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.519448Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:8003cfaec0edf1b61db0509048c87dea499edc7b02ae789fd8d69d1ca7a22f8d","observation_id":"36c4b2c7-4b73-49ed-b11f-81cbc45fb2f0","resolution":{"observed_at":"2026-08-15T19:18:48.645496Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.537921Z","title":null,"venue":null,"work_id":"b29476b2-b8e1-43ca-ae0a-f4d06fa19b59","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.523801Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:253db85b14d11fac99dc9fa728ca75df84fc6603c07df5783125fa0066bde4c7","observation_id":"87e368c3-6b22-4f82-b4c7-da6bcdf71dab","resolution":{"observed_at":"2026-08-15T19:18:48.634277Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.375135Z","title":"Do not provide explanations or reasons for uncertainty","venue":null,"work_id":"ba1e3044-00f1-401e-a503-06ed3c4def69","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.527397Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:5bb1435e5639921a0de1ce5b219083c576d7cecb2fccda34cc5a431b5638d813","observation_id":"738f4163-a3d8-4915-9b9b-db63ad73ace6","resolution":{"observed_at":"2026-08-15T19:18:48.438354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.365482Z","title":"- Consistency: Consistency represents whether the description maintains content relevance to the image information","venue":null,"work_id":"ee273278-d9e7-4e7b-9dbb-9f9b88dbff21","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.531251Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:3ff0fb70a756f2f5507e3f034bfcdbc21e02b70a6e4512c71ce87841a5551b31","observation_id":"49bf37ab-6b0b-4395-bbae-fad547870d68","resolution":{"observed_at":"2026-08-15T19:18:48.368699Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.353870Z","title":"excellent","venue":null,"work_id":"9c22be05-6a5e-4cc9-ba62-7643b7077973","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.535379Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:e36b9faed5fa7f45edca3ae3e7264097effaa0e4b2419f93c70adb9497006e88","observation_id":"096f5ffd-6fdc-4bda-b62b-bd32054269a0","resolution":{"observed_at":"2026-08-15T19:18:48.357819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.344172Z","title":null,"venue":null,"work_id":"99706b84-1d72-4b51-937e-944dbe3cf58b","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.538364Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:4f08532dacc1ad9788e76d634bc3aa2c9f8b65703f37bc4f14c45f7b23ddaf5f","observation_id":"c5ab1c97-af61-4a9b-b06e-20271f622aae","resolution":{"observed_at":"2026-08-15T19:18:48.347613Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.334595Z","title":"excellent","venue":null,"work_id":"1daf31f0-9d7e-45d5-88e3-66d8b1ec8caf","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.541536Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:9a3c2718d75f23f916aa89c595fd316af1b2e3a4e3ea2de1fd374ce6f44f129f","observation_id":"99290748-a245-4a4f-8e78-d1aa64a52a72","resolution":{"observed_at":"2026-08-15T19:18:48.337295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.324241Z","title":"- Consistency: Consistency represents the answer maintains content relevance to the image infor- mation","venue":null,"work_id":"a3143b6f-4eac-429f-b06d-6d770dac49e1","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.545652Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:12f302e0d7e78dd854aaac7f2968317a170d61bc08a19a18730f667ceef70738","observation_id":"f5e5dee3-e70e-4cd6-bf02-d37d30f6349e","resolution":{"observed_at":"2026-08-15T19:18:48.328080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.303720Z","title":null,"venue":null,"work_id":"2524b6c8-0c55-41c2-b1bd-0e050674ef5b","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.549271Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:9940115f46a08db81cd7f55375ea04d8d8c2a95d92c23eb3aac5611a23a4b7d2","observation_id":"44398437-3df0-4865-b5ef-27bcd9838187","resolution":{"observed_at":"2026-08-15T19:18:48.317232Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.135639Z","title":"26 Yongheng Zhang et al","venue":null,"work_id":"a8e46307-fcb6-4bcb-bb34-ef3f8df12421","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.552705Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:27da8fa8267559711669d98b022c2cfe8d2cf08bafda2e1d820610959185ff7e","observation_id":"219d1173-fc2a-4162-99ae-1d595edfc21e","resolution":{"observed_at":"2026-08-15T19:18:48.215979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.123047Z","title":"Image In-context; 3","venue":null,"work_id":"fff7d17c-6eb8-408e-8aed-3657c2bada24","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.555860Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:3a902b035b24de4baf65243b53d5fa24a9d9f9357e4b86962bf37ddc3bca6c97","observation_id":"5adbfe04-741a-47dd-abd5-dfd6f271e985","resolution":{"observed_at":"2026-08-15T19:18:48.127126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.111422Z","title":"Image context; 3","venue":null,"work_id":"bcfb523e-6794-4d8c-92f2-21479a891987","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.558793Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:d9d475c119f1927de4a1781422581ed98fad44cb38e4fb1e9c3b62eb5fa10c97","observation_id":"d445f768-7300-4a20-88eb-3c79e52bedc6","resolution":{"observed_at":"2026-08-15T19:18:48.115672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.098792Z","title":null,"venue":null,"work_id":"99868785-cafc-484c-95fe-3853767c1025","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.561607Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:fad96d2304a34d7f1bf05204102120a54f900cefdec5299f3db7cabae859a051","observation_id":"9bc92d45-98fd-4d1b-b7ca-f43c20ae2288","resolution":{"observed_at":"2026-08-15T19:18:48.103737Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.088585Z","title":null,"venue":null,"work_id":"c0de2ad6-6247-479c-b5ac-56beaed470c5","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.564402Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:788d1e75e9ddf1e5368f6e75bb50b40fe53da2bdcd8f5806ecbce69ce138d197","observation_id":"2aa8f222-cacc-4a7b-8470-c43a8b029587","resolution":{"observed_at":"2026-08-15T19:18:48.092203Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.079596Z","title":null,"venue":null,"work_id":"f4883296-7bba-4439-afb2-062cf460f2bc","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.568145Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:071640492f400d89d235f65791a936dd3f20f4f517f9400ad2dbdc6e82094b1c","observation_id":"0399a0a0-a7e6-4b71-8293-dc62d7714ced","resolution":{"observed_at":"2026-08-15T19:18:48.082597Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:48.068805Z","title":"type\":\"new_node_addition","venue":null,"work_id":"e15e2da7-61d2-471b-8935-f62b037279cd","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.570912Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:7c528f8e3c5fdbf3ab70494abccfd8fdd14459fd0fc95f609afcc3cd2163894e","observation_id":"3502bd2c-b90a-4eb6-94c7-9575bda9b39d","resolution":{"observed_at":"2026-08-15T19:18:48.073158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.951963Z","title":null,"venue":null,"work_id":"fc8de1d7-79ca-464a-938d-26c30a971125","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.573822Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:4aa5bd08ee7a700d308cf8987d81cfe0a333635e4790715c50e61acd70d68759","observation_id":"7a814540-0c43-4a58-a58e-0268367bc0d5","resolution":{"observed_at":"2026-08-15T19:18:48.061834Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.723275Z","title":null,"venue":null,"work_id":"d88fac3b-c195-4866-a805-e4f8187d2779","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.577903Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:de85da5c99e5fc6eedd617a2b58a4d429043ad090b758d1ca357cdca40c79a7c","observation_id":"7f119de4-1a18-4fbb-a6d9-062b2a77b062","resolution":{"observed_at":"2026-08-15T19:18:47.855785Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.710159Z","title":null,"venue":null,"work_id":"0a99e629-a385-405b-b369-6b8e7431a435","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.635198Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:8404950d42ee49b1b67bb7b215c837691496b7dcb3b11a1ff710ab649c94fdd0","observation_id":"f2ec684b-dfd8-4125-83b5-8335dfc298ba","resolution":{"observed_at":"2026-08-15T19:18:47.713747Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.699594Z","title":"Extraction of Techniques You are a cyber-threat intelligence expert","venue":null,"work_id":"150ed56e-1b2d-411a-b718-833800927c53","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.771959Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:b3b5d792dc41f89df6ebc9279e45751217e14276b6d320e4433638f81f0db76f","observation_id":"53f7e352-cdd5-4c8d-8267-b85f470b3ade","resolution":{"observed_at":"2026-08-15T19:18:47.703130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.689866Z","title":null,"venue":null,"work_id":"349bdb17-7561-4d31-a14c-766aaad8f104","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.869393Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:c3010baf4c408072e0a4ec8d768e234b9d1f58047279fa3d532ebbb5ae9fe44f","observation_id":"83b69238-434a-4cf8-b591-ce62bd2934e5","resolution":{"observed_at":"2026-08-15T19:18:47.693355Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.679727Z","title":null,"venue":null,"work_id":"2f4f6c0e-0984-49b7-a476-41d641910790","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.872948Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:24d5e46e93886a18f8d8e0e468b8f0e48dfed8d073b956860a5dd2b12f5f1e26","observation_id":"5eb281a7-0d79-4c29-b4d6-3a0163e6c372","resolution":{"observed_at":"2026-08-15T19:18:47.683132Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.669454Z","title":null,"venue":null,"work_id":"1c47cf5d-2e81-4474-a9e1-9acc532122c9","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.877863Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:0d1742b9526ef0f7ca2acad875a72e29d345dc23935277babb3b8937f3fff3d9","observation_id":"73531d4f-af13-47cc-8ea2-c947c33091fd","resolution":{"observed_at":"2026-08-15T19:18:47.673343Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.606156Z","title":"Integrated Attack Graph You are a cyber-threat intelligence expert","venue":null,"work_id":"c725c67a-b40d-41af-86d1-c7f77ff24923","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.881631Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2e70e897d8301df6ce07afc496be8da99054bf2045df3e675d03e06bc2c4b2c0","observation_id":"b2eff42a-e9a3-4871-af2b-1bc044365711","resolution":{"observed_at":"2026-08-15T19:18:47.660992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.548711Z","title":null,"venue":null,"work_id":"a498b6aa-1cd2-4cc8-99e9-700265833c2f","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.885887Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:2fe77aaab426b370ade8a6e99be37875cc6e3f550fc6642d6fcd9c5390f72b27","observation_id":"4a9359aa-863f-4c3f-9e3c-690e328ca07c","resolution":{"observed_at":"2026-08-15T19:18:47.552511Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.536081Z","title":null,"venue":null,"work_id":"10dc7290-ee1b-4574-a012-d7bddf0c33bb","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.889818Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:6507fa828d9d4eaf45d7a8ce95ad87fa0473835642dea82c7e36ba4cb8b5e2c7","observation_id":"d6ed3d2a-7600-4173-9153-00122e526620","resolution":{"observed_at":"2026-08-15T19:18:47.540946Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.526430Z","title":"[Thinking Process]","venue":null,"work_id":"2ded1ac4-7b9a-43de-bdad-b34236137324","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.893662Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:a9343e35c2e78757d4ea213cd67db04a2e9a3aa63620eafc131c70c8331d04fa","observation_id":"d6e8740d-372a-444f-bb6a-403e8237bee9","resolution":{"observed_at":"2026-08-15T19:18:47.529355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.332374Z","title":null,"venue":null,"work_id":"f38da8ba-24bc-49b4-aae5-c8cb4589fad3","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.898269Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:1fd11a9981e43fc2c81e9e1316e23655fc4ad09a049826aab4e7b86c715270b1","observation_id":"e55553c3-6777-48b0-ba1c-7775cfc87c62","resolution":{"observed_at":"2026-08-15T19:18:47.475083Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.301143Z","title":null,"venue":null,"work_id":"15970296-e696-47e4-a9cc-9e532b270054","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.902119Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:0f4df400f08d1ea65d38fe5b5d716ed13c926f8ea31b7dbbe7d272d20849bc46","observation_id":"178645f0-4612-4b67-b0c8-4f34bc0b0cae","resolution":{"observed_at":"2026-08-15T19:18:47.305055Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.287493Z","title":null,"venue":null,"work_id":"a731c61b-7a8f-4a89-ad83-fcf84bdfe033","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.906386Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:5144b2c3efb5e0d234f962355f73f84559d6384fe4ecf2b8bcdcb0286b88802c","observation_id":"f5dd40a3-d600-40f3-89f4-72daf68349da","resolution":{"observed_at":"2026-08-15T19:18:47.291278Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.272222Z","title":null,"venue":null,"work_id":"61436e02-66da-4c36-8021-b065b17055b3","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.909648Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:606f6d6f577889b74efae14ea396de8a60d7820364215ea87b830a9dbc660c57","observation_id":"f09310a2-2d08-4431-99d7-3f909b65eed0","resolution":{"observed_at":"2026-08-15T19:18:47.277382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.252915Z","title":null,"venue":null,"work_id":"1b9bb302-f845-41fa-99e1-178b0efdf7ae","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.912924Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:c9fbf0a491d6a605ab3cc19e994b9406eb112bbd863d80d372f76e8d5d573a64","observation_id":"cfbf1ffa-14a1-4528-b751-b1d3cd21b82a","resolution":{"observed_at":"2026-08-15T19:18:47.257840Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.152450Z","title":null,"venue":null,"work_id":"ff15fe76-1e91-47b9-a9d6-c7fef1e34f78","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.916386Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:20b4430219c3c89ace4dd002bdfed37816f83be81e3a8a53261ee6cd9801a43f","observation_id":"4f7f1642-ef8b-4d91-82d1-8b87afe4e025","resolution":{"observed_at":"2026-08-15T19:18:47.244516Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-15T19:18:47.067173Z","title":"technique_id - technique_name","venue":null,"work_id":"7d0d17be-5eda-4ce7-8ce8-b7839314cc46","year":null},"citing_paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-15T19:18:46.919677Z"},"links":{"citing_paper":"/paper/2506.16968"},"observation_digest":"sha256:58447589e69184a928e05f92157fd0f5f29fec6a1f99f6cfe66245703456d2eb","observation_id":"e9ac8cd3-bd84-488d-902b-e453ea10dc4a","resolution":{"observed_at":"2026-08-15T19:18:47.101242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.16968","last_updated":"2025-06-20T12:59:31Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-20T18:49:39.653240Z","submitted_at":"2025-06-20T12:59:31Z","title":"MM-AttacKG: A Multimodal Approach to Attack Graph Construction with Large Language Models"},"reference_resolution":{"displayed":91,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":2,"unresolved":53,"verified_exact":0,"verified_fuzzy":36},"total_outbound_references":91},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2506.16968."}