{"as_of":"2026-08-13T14:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:683ba6c2d0c06333f85c7eab20ef2daa19d4c9494b874a47b6dabadd1acae1b3","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T22:02:32.703683Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2412.03930/citation-record","integrity":"/paper/2412.03930/integrity","json":"/paper/2412.03930/citation-record.json","paper":"/paper/2412.03930"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T22:02:34.050418Z","title":null,"venue":null,"work_id":"f3aa0dea-89c1-4c08-b049-bc0f1ed42761","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.240784Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:f8e628d1d87240842df354fd8987b5354f03465e1b93ba754bcb7bb274010d5b","observation_id":"2657e76e-604c-4b70-a6fe-1025f0437c8b","resolution":{"observed_at":"2026-08-11T22:02:34.055564Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:34.030454Z","title":null,"venue":null,"work_id":"cbf69cf0-a19f-434a-8c8b-75685fd1cec9","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.250020Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:9d79a93d0381c76da51145cb23dfcb7542ee984f29b7d8f41f981d533b5cd292","observation_id":"fc48134c-4ea2-48d3-aceb-b637c2b63f65","resolution":{"observed_at":"2026-08-11T22:02:34.036467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:32.263484Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.263484Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:f674fd0fa12ce302772cd50fa60319f5c487806628e622e4d1880dc33c486ca0","observation_id":"b1ea0b22-d269-40e9-9eda-296bea67884e","resolution":{"observed_at":"2026-08-11T22:02:32.263484Z","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":"2026-08-11T22:02:33.997040Z","title":null,"venue":null,"work_id":"39324696-382a-4b33-af71-ec95ce505cea","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.273030Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:490816a3c610508a9b6ba4d275be21cc14ffdddddd84e6a3909ff69777c74933","observation_id":"bbb2aa6e-7374-441d-a349-7242c2bf6884","resolution":{"observed_at":"2026-08-11T22:02:34.002553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.978598Z","title":null,"venue":null,"work_id":"3a1e6a5e-3e66-43ac-8e89-950488757d66","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.281998Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:3ab2d0d5eece519a074b15559949e31d2a83f4ff162eae71951a82fc7c7d0db3","observation_id":"01c5d379-88fb-4beb-9e4f-1e994d8faa05","resolution":{"observed_at":"2026-08-11T22:02:33.984534Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.958592Z","title":null,"venue":null,"work_id":"6ffca4ad-3d56-4021-a1bc-405e06d464a1","year":2022},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.292246Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:2220b852336657daa6bce1cd2915df3bbf30d1901daeb3f490a65d3299fb888c","observation_id":"0df3971e-3f5d-4e88-991b-060baceb4bdd","resolution":{"observed_at":"2026-08-11T22:02:33.964746Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.938866Z","title":null,"venue":null,"work_id":"691cb21f-3ad6-4201-921d-6468c0931b1c","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.307514Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:c52273b996b673e886c520252200ad45c5a91bc95ac536fa4b891c7ecc4357bb","observation_id":"4b26ce64-f3f6-4f92-8e9f-94ec35ff0194","resolution":{"observed_at":"2026-08-11T22:02:33.945106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08691","last_updated":"2023-07-17T17:50:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-17T17:50:36Z","title":"FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.08691","snapshot_observed_at":"2026-08-11T22:02:32.318298Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.318298Z"},"links":{"cited_paper":"/paper/2307.08691","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:5829ae6293a424b329a263ad38b3bc79439e1c3c19dc8218247ef75664d22720","observation_id":"c6ab9595-2593-4e4d-9503-1f7c1ebed898","resolution":{"observed_at":"2026-08-11T22:02:32.318298Z","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":"2026-08-11T22:02:32.326229Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.326229Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:1ed72be95babb102129ef3ceb0874a6455797a4a4147c74bf7ce1db45ba5c752","observation_id":"e7451124-a1db-4a7b-8349-cb11c2eb53a6","resolution":{"observed_at":"2026-08-11T22:02:32.326229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-07-30T09:12:38.100527Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-11T22:02:32.332897Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.332897Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:7dd49b2b77f8a0940bc6117e4b3bdf63dca3cd4d0c188f8fde95f78695569ef9","observation_id":"a151f2cd-d931-49b2-be82-d50b05acd22a","resolution":{"observed_at":"2026-08-11T22:02:32.332897Z","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":"2026-08-11T22:02:33.901384Z","title":null,"venue":null,"work_id":"0fab8a46-b464-4b32-9dfe-45fb485859e6","year":2020},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.347480Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:4d7b714eef74fff804b3083f393c4a38f9d0b6c4b2d418f264cb15f8c60b3491","observation_id":"a815f857-c2c8-41bf-bdd3-3519369ff903","resolution":{"observed_at":"2026-08-11T22:02:33.907242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.882033Z","title":null,"venue":null,"work_id":"fd3cc616-b852-49d4-a328-c165eda5a7d1","year":2021},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.355546Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:7f13f7959f663f91d9132bc9d9cfd82e4ddc37ed826cf63ec6ca2016f63db58d","observation_id":"f6d41e11-f256-4c0f-9991-1a68140c67dc","resolution":{"observed_at":"2026-08-11T22:02:33.887536Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.862483Z","title":null,"venue":null,"work_id":"2f197d53-3a59-45f3-9413-5db1d63cbc4b","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.363300Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:1f19ffed3729f65cc77791043ec60aa9e00b55cc1c2d7ede7ec5d52e07c607c3","observation_id":"41897246-84c5-4c52-931a-e99ee5583f67","resolution":{"observed_at":"2026-08-11T22:02:33.868950Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12793","last_updated":"2024-07-30T03:58:11Z","snapshot_observed_at":"2026-08-07T13:56:34.167869Z","submitted_at":"2024-06-18T16:58:21Z","title":"ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12793","snapshot_observed_at":"2026-08-11T22:02:32.372502Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.372502Z"},"links":{"cited_paper":"/paper/2406.12793","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:130200bac70ca91e5ea47aae3b7f56cf7d7d3be8a21da8b9497add3437f54576","observation_id":"50bd52e5-4f91-41ff-ac3a-7b65b96d6dfa","resolution":{"observed_at":"2026-08-11T22:02:32.372502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08561","last_updated":"2025-04-14T02:52:50Z","snapshot_observed_at":"2026-08-12T21:29:27.055176Z","submitted_at":"2024-11-13T12:18:00Z","title":"LogLLM: Log-based Anomaly Detection Using Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08561","snapshot_observed_at":"2026-08-11T22:02:32.379206Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.379206Z"},"links":{"cited_paper":"/paper/2411.08561","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:52222f26d36ee700162de67e5fe680ca84e057c72689f62c6b9010314bfa4de2","observation_id":"10b627c5-fa0e-47fc-8d2b-7106bd9b0558","resolution":{"observed_at":"2026-08-11T22:02:32.379206Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.14608","last_updated":"2024-09-16T02:54:50Z","snapshot_observed_at":"2026-08-04T09:07:42.158421Z","submitted_at":"2024-03-21T17:55:50Z","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14608","snapshot_observed_at":"2026-08-11T22:02:32.386095Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.386095Z"},"links":{"cited_paper":"/paper/2403.14608","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:67fb01091f21cd29827d6f5ac975249551b63cec68a27342214685ffec16de82","observation_id":"e447a03a-9ba4-4201-b8e1-e3734836457f","resolution":{"observed_at":"2026-08-11T22:02:32.386095Z","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":"2026-08-11T22:02:33.841098Z","title":null,"venue":null,"work_id":"84a56a4f-8e4a-4a70-b809-7ac5e07639d6","year":2021},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.392332Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:9fd56a7ad21b6f61ed5a44b5bd5ae3d542b84d87aa9c50e8ab84b7da7a5d430e","observation_id":"4f0c50c0-c19d-4f01-b6ab-f671bccd986c","resolution":{"observed_at":"2026-08-11T22:02:33.847767Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-11T22:02:32.399529Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.399529Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:4820b82fc37ffc319f4b83b20bc0cc4afff38513c185691e70be8d95b68c0370","observation_id":"e79dc1ca-9a59-4117-a82d-b70e4ed6051d","resolution":{"observed_at":"2026-08-11T22:02:32.399529Z","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":"2026-08-11T22:02:33.821911Z","title":null,"venue":null,"work_id":"f5eb0ef9-d78c-456e-931d-6b33a05c8d76","year":2020},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.424372Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:229d543efd70dab74d7a076b5bc101f5235eaea15047912c18048eaca92946aa","observation_id":"38ebc959-e93c-41b0-85cb-8f1e87dc2d2b","resolution":{"observed_at":"2026-08-11T22:02:33.827850Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-11T22:02:32.436091Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.436091Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:a51a95715b4fed0ca1621266692de843433adf9a3073147088ac6a721fb05c34","observation_id":"87d1ea69-1da6-4eac-b610-3d02e6c2b75f","resolution":{"observed_at":"2026-08-11T22:02:32.436091Z","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":"2026-08-11T22:02:33.801090Z","title":null,"venue":null,"work_id":"949b1d26-bbe3-46b1-b87a-9b0bf1027120","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.449856Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:cd6be3f359cb3e603c70777e8feae018d59780d994c4f4dc66f87c856677a357","observation_id":"f2a8ef6e-3b1a-4292-abb6-df923dcabb80","resolution":{"observed_at":"2026-08-11T22:02:33.807311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.781150Z","title":null,"venue":null,"work_id":"f1d2270f-80f2-4d71-b5a8-fba939e2a392","year":2017},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.457856Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:b71de74d9127616c952e948f09ccb479ed47032227257a9073ffaa0c066dd795","observation_id":"dd3b6d6b-1047-4fdc-9587-80b2227cfbf7","resolution":{"observed_at":"2026-08-11T22:02:33.787715Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.761795Z","title":null,"venue":null,"work_id":"7d0d40c0-6205-4cfe-92e0-1eab70434a8e","year":2017},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.465560Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:8e080a7ee0efe1f0f42420db79902213d44bf0e84dcdecfc4587d4dad5c11b39","observation_id":"6cd99a35-e289-443b-849d-aa0d7d8b8e43","resolution":{"observed_at":"2026-08-11T22:02:33.767642Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.02027","last_updated":"2022-10-05T20:14:52Z","snapshot_observed_at":"2026-08-06T06:13:52.132620Z","submitted_at":"2021-06-29T04:37:23Z","title":"Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.02027","snapshot_observed_at":"2026-08-11T22:02:32.476879Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.476879Z"},"links":{"cited_paper":"/paper/2107.02027","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:73aaf34dea17a2be76b2edf2902db7aee65bf0247e8578e94575ba4403ca003a","observation_id":"372f374f-e4e5-4eab-9a51-e5c92a036ff6","resolution":{"observed_at":"2026-08-11T22:02:32.476879Z","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":"2026-08-11T22:02:33.742180Z","title":null,"venue":null,"work_id":"314d149d-de5b-413b-a2eb-e4ca66165b7f","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.485225Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:56ddbb33d1ebe7855b965fc4a1482e2a2d500cf282963c0f05ed8f53d6c244fd","observation_id":"ff97f70f-5a3b-4329-9513-1b4198af86cf","resolution":{"observed_at":"2026-08-11T22:02:33.749464Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.718074Z","title":null,"venue":null,"work_id":"99d41ff4-eefe-433a-9618-58f34e3f0754","year":2021},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.490841Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:60975537b169adcc4bcc7f88fa7b737a5d661408d66724bbb0243e6311e69bc6","observation_id":"e9806602-7a47-4627-bb02-34d4adca6e70","resolution":{"observed_at":"2026-08-11T22:02:33.725630Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03281","last_updated":"2023-08-07T03:52:59Z","snapshot_observed_at":"2026-08-04T23:10:23.964516Z","submitted_at":"2023-08-07T03:52:59Z","title":"Towards General Text Embeddings with Multi-stage Contrastive Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03281","snapshot_observed_at":"2026-08-11T22:02:32.498178Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.498178Z"},"links":{"cited_paper":"/paper/2308.03281","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:f4a6ca4a15dbe58c1750cd4cf60ebd0d35a1302865d56e6c0c10ae8f3a77f932","observation_id":"79660a41-5553-4d24-92f0-710a6ac1f70e","resolution":{"observed_at":"2026-08-11T22:02:32.498178Z","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":"2026-08-11T22:02:33.689053Z","title":"Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang","venue":null,"work_id":"6314b13a-c388-4dbb-8d5c-a3a2fca6f2f8","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.504723Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:a106733d5c175ab84a18f7a862460a885fc77f40c5869852d4e7a31711cc6803","observation_id":"0fbc2bc1-d5db-40bf-b3fa-8c0d722c0190","resolution":{"observed_at":"2026-08-11T22:02:33.698188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-07-31T22:31:37.910868Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-11T22:02:32.511778Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.511778Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:2e08ae077946863c98d62610b1b42acf3b577bcd761cc9b08da719421537aefd","observation_id":"ad05ef3d-cdf3-4eb5-a454-c69bc547ca3d","resolution":{"observed_at":"2026-08-11T22:02:32.511778Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-09T20:34:52.923500Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-11T22:02:32.518292Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.518292Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:b123a519d21021be0b00904157cbf7d4c0eb23ab85266addf3a6674cb700fe54","observation_id":"4a30b748-d257-4b3f-a06b-bfefa711b873","resolution":{"observed_at":"2026-08-11T22:02:32.518292Z","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":"2026-08-11T22:02:33.667869Z","title":null,"venue":null,"work_id":"9c06317a-92a1-41f4-a5ca-3e2fff4b74fe","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.530727Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:06a95e3afca31fdd994757d454a66e7e8eb5789967384e6f8a31088687ce3494","observation_id":"d30945d4-fa81-4bf0-9662-76bd7328e325","resolution":{"observed_at":"2026-08-11T22:02:33.673252Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.644351Z","title":null,"venue":null,"work_id":"591dff04-8565-4618-bead-bf9d090d02b2","year":2021},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.539589Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:56561a5e4bc40b5c17164ac78104210185b24d5b030487e0a1119187fe667385","observation_id":"ecdd25c2-e4d1-40d6-b8a4-ebd41c298e1e","resolution":{"observed_at":"2026-08-11T22:02:33.653708Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.614902Z","title":"Sheng, Hui Xiong, and Leman Akoglu","venue":null,"work_id":"31550f08-d313-489e-a04b-2ef15c34da27","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.548699Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:23c19aea86d8fa0ce4222a5de5b62cdbb97ddad7fd5288af8a30c151dbc64b63","observation_id":"764293ee-6c07-44cd-87f7-43c11cedcfb0","resolution":{"observed_at":"2026-08-11T22:02:33.625280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:32.554877Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.554877Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:edd4515f738386d16c926ee81ae7b2ff46295f82ca607431ee242bbc5b300777","observation_id":"a1288097-ca89-41c5-b8ba-03d78f7df2d1","resolution":{"observed_at":"2026-08-11T22:02:32.554877Z","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":"2026-08-11T22:02:33.574607Z","title":null,"venue":null,"work_id":"c7301cbf-5fb4-4db6-8a2e-e23344416cb6","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.561062Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:04adf3c57521251e46de953b8a825bd1b83aad91f4c1c7b7c95c8baeb38c834d","observation_id":"3b5cabbe-8951-4341-8b26-0952cdaca713","resolution":{"observed_at":"2026-08-11T22:02:33.582061Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.05941","last_updated":"2017-10-27T17:45:21Z","snapshot_observed_at":"2026-08-08T18:23:31.977872Z","submitted_at":"2017-10-16T18:05:45Z","title":"Searching for Activation Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.05941","snapshot_observed_at":"2026-08-11T22:02:32.566656Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.566656Z"},"links":{"cited_paper":"/paper/1710.05941","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:c736ad97c3d0f5c6e1a2591db8fc57876a7285392871046441438af3d7db246c","observation_id":"aed57e47-2729-44ec-be6e-593ab7ac7153","resolution":{"observed_at":"2026-08-11T22:02:32.566656Z","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":"2026-08-11T22:02:33.545111Z","title":null,"venue":null,"work_id":"bb3a9e9f-f5af-47f3-86a8-83a99e7edc7b","year":2013},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.572929Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:c5a5ecff82491d9d7effffe776a267b6b827fe71d706e96c92df76cf3c8c82c4","observation_id":"deb0d27e-db2b-44d5-bd32-0a39b55fd74d","resolution":{"observed_at":"2026-08-11T22:02:33.555623Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.521181Z","title":"Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling","venue":null,"work_id":"cddb189c-2228-4cfd-9747-185c3b084c83","year":2018},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.578547Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:b5f379e1c35af5b2866f61b2bc52d03804375e91bb5b9f09cc23abd7ab918e31","observation_id":"c7063047-cd8d-4c61-93e1-4b7ccc5b35d0","resolution":{"observed_at":"2026-08-11T22:02:33.528490Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.05202","last_updated":"2020-02-12T19:57:13Z","snapshot_observed_at":"2026-08-11T06:21:56.129166Z","submitted_at":"2020-02-12T19:57:13Z","title":"GLU Variants Improve Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.05202","snapshot_observed_at":"2026-08-11T22:02:32.583868Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.583868Z"},"links":{"cited_paper":"/paper/2002.05202","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:046be6bc3328a0291418befe15fef30363c16aba02a28cf5db46ddb5391446a3","observation_id":"c63e0052-d715-48fb-b346-3b8ecff51ca4","resolution":{"observed_at":"2026-08-11T22:02:32.583868Z","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":"2026-08-11T22:02:33.501341Z","title":null,"venue":null,"work_id":"71f308c6-0997-451f-895e-9efd326bd9ad","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.589634Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:4d47e8cb0f74c91f6b0a9ef9e96f1dc57e67ee337b0b60b4b867f73293ce1d04","observation_id":"87bafff9-5ca7-4bba-baa3-39960173ed1e","resolution":{"observed_at":"2026-08-11T22:02:33.508261Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.477762Z","title":null,"venue":null,"work_id":"23a8c68e-78f1-4167-a2cd-0477e60bfec9","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.596197Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:82252d358d872b0412f6fb38afc2889930c840f59b2a4aa18e90da4125ff2502","observation_id":"fd80f9ce-65de-48c0-a1fb-4c00510b1573","resolution":{"observed_at":"2026-08-11T22:02:33.487758Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.439914Z","title":null,"venue":null,"work_id":"7f364dbe-7134-4530-86e3-1de94dd563c9","year":2022},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.602140Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:f5ce082d46bc4145e54c8bb7e6e2ff9caba349d4da8ef88f75d428b793c59ae8","observation_id":"aad21ea3-85b5-462f-a477-06c282986140","resolution":{"observed_at":"2026-08-11T22:02:33.451914Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:32.610007Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.610007Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:2fe343080c8e0e60bb4259ee1e4698aba8f7c4b8ca36fa5f9572970fef957873","observation_id":"d5820a5a-3a1f-4f8b-9036-56070f9d81ee","resolution":{"observed_at":"2026-08-11T22:02:32.610007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-11T22:02:32.615746Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.615746Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:8599eabccd47fe19c9dedca8b54f32ebdfb673a406a0d25cc04b336921ae58f3","observation_id":"ba4726f0-a8f2-490e-aef7-0b0dfcdb1a11","resolution":{"observed_at":"2026-08-11T22:02:32.615746Z","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":"2026-08-11T22:02:33.394683Z","title":null,"venue":null,"work_id":"1b18f233-eb45-49d5-a84a-a74ba94936dd","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.621410Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:55f81d7007fb4553313245202d120fd92f6083ee8d23252b43b3e68427eba924","observation_id":"73af992b-1fee-4ad2-a6ae-66834afc10d0","resolution":{"observed_at":"2026-08-11T22:02:33.405981Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.371618Z","title":null,"venue":null,"work_id":"0e5e2d01-bdb4-4426-872f-226c0bd27f04","year":2018},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.627400Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:e2e7516e18ab3edbfffc0a41596e80b0568aa360aa6afdef075ab197673b08a5","observation_id":"a3bf7691-eae5-43cc-9740-b47db9d77ea0","resolution":{"observed_at":"2026-08-11T22:02:33.377357Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.349426Z","title":null,"venue":null,"work_id":"48263e4a-cd6c-4567-ae78-b3dd767ba1bd","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.633877Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:05dad88d964730677a3c999bb4ab270e5f3eb249b03cdc95f4d82224f61603f5","observation_id":"5cbb46cb-9eaf-49b6-8a86-7f1d0fd52985","resolution":{"observed_at":"2026-08-11T22:02:33.357250Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-11T22:02:32.641871Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.641871Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:03ca4807e16bf194124bdeccf867b069f68a31007fceaf77084851d519fd707c","observation_id":"e3870da0-a0e7-472e-bd75-b6d74ca83877","resolution":{"observed_at":"2026-08-11T22:02:32.641871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-11T22:02:32.647576Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.647576Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:3f8dac5ac0f34fb6b197a20112399ca0e8ce309722e54e8dfe08980de9b17d65","observation_id":"dbb1ea12-8f7c-441b-bdfd-b99b688d31b1","resolution":{"observed_at":"2026-08-11T22:02:32.647576Z","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":"2026-08-11T22:02:32.655828Z","title":"Rossi, Kaize Ding, Xiaohu You, and Yue Zhao","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.655828Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:68e79d3b130b738b8a88668b1063d6bb893719711211e9bf621cd10494a87999","observation_id":"bd2df55e-edd3-4e79-8160-d637de6394d9","resolution":{"observed_at":"2026-08-11T22:02:32.655828Z","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":"2026-08-11T22:02:33.305683Z","title":null,"venue":null,"work_id":"7be3909f-376b-456f-bcca-0541603046ea","year":2022},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.662173Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:f79997a1b20f4ccefe440a154c411a57b3786b2ca83681f0fd3a4e7faa46e71b","observation_id":"824a2480-ac56-47f6-bc07-771178a80459","resolution":{"observed_at":"2026-08-11T22:02:33.318348Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.281890Z","title":null,"venue":null,"work_id":"a9f4ec9e-c427-41f7-9343-c1e2615a1ec9","year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.668771Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:39b523022e2e615988c6f27401020a41d2e456689aa8de72b592ce31dc90b110","observation_id":"731ac36f-a2b4-4599-bb2e-1870ac654fc0","resolution":{"observed_at":"2026-08-11T22:02:33.287680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.263465Z","title":null,"venue":null,"work_id":"0cb28d7c-4e42-4aa6-a3c0-11f7f112af1b","year":2019},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.673864Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:d5f940179d852b8c94ae273d0a17912746f85f1e3ef91b4772be06fb27d01d2c","observation_id":"f303f695-0462-4726-85bc-9982114917b9","resolution":{"observed_at":"2026-08-11T22:02:33.269045Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.240715Z","title":null,"venue":null,"work_id":"a23d525f-fe9c-459c-96cd-b0df43de9812","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.679958Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:e8423a0ce8e7f970f57fe5cd12865bd3004f070077515973d77a1373cbfa6f77","observation_id":"e1b6aa77-e4d3-49be-9929-252f865ec8ed","resolution":{"observed_at":"2026-08-11T22:02:33.248062Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+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":"2026-08-11T22:02:33.216571Z","title":null,"venue":null,"work_id":"d6edc08a-87d0-4291-b4e7-05bf945ce5b2","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.686352Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:d2be545346966393e8860e5922bd0eba1607c466b96e6cf93a0e2272e52cec95","observation_id":"4801acde-892d-4f13-ab5a-6d783294cfbc","resolution":{"observed_at":"2026-08-11T22:02:33.223816Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-11T22:02:32.691830Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.691830Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:56151bace256ea87e7d88fe7005adc1647e49b9bfd6703e70bf9fa4782c5c02e","observation_id":"9ca6dcbe-1897-4aa5-96e7-21047367fa94","resolution":{"observed_at":"2026-08-11T22:02:32.691830Z","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":"2026-08-11T22:02:33.189195Z","title":"+sem” and “+graph","venue":null,"work_id":"bc9db2ea-ccb7-4816-86c5-c013cda13e21","year":2024},"citing_paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T22:02:32.703683Z"},"links":{"citing_paper":"/paper/2412.03930"},"observation_digest":"sha256:28c89979f6110f2c41a7186b92f0f9e9533ad29789c7d3ea1180da4ed3f6d5cd","observation_id":"e42331cd-a3d1-495a-ba58-5be16140ef59","resolution":{"observed_at":"2026-08-11T22:02:33.197565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.03930","last_updated":"2025-08-07T12:06:29Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-11T21:53:53.494422Z","submitted_at":"2024-12-05T07:12:53Z","title":"GuARD: Effective Anomaly Detection through a Text-Rich and Graph-Informed Language Model"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":53,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":57},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2412.03930."}