{"as_of":"2026-08-09T22:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6e55fec04d571b00a650424e76544baf4e5403cab4d287cef1ded1c3bfc899b7","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T06:05:50.736901Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.00664/citation-record","integrity":"/paper/2508.00664/integrity","json":"/paper/2508.00664/citation-record.json","paper":"/paper/2508.00664"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.150345Z","title":null,"venue":null,"work_id":"d5086122-7561-4ac5-b24e-56197a526703","year":2021},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.593717Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:9a9c5a4dbdb25487a6556a7446867197d41f1da080204b751cb15a161b923057","observation_id":"82f9edbe-e98c-4cf9-8019-ca59d9ca7498","resolution":{"observed_at":"2026-08-06T06:05:51.152869Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.143260Z","title":null,"venue":null,"work_id":"3559ad6f-eded-493b-a120-707d2cb562fd","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.597326Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:6c4c7ebb6ad4e36b236ec0baa389f28d5a75d9ddc7d3ed26f7985a5a90cbca78","observation_id":"acddcb2a-8afb-416d-b48e-5efbb19af9f1","resolution":{"observed_at":"2026-08-06T06:05:51.146037Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.136007Z","title":null,"venue":null,"work_id":"c6c7f40e-32ae-4fb5-91cd-0264bf4de384","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.599950Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:12af91f7970dce964235a5333744b58ecfce8ec1cb295befd79972d13da8c994","observation_id":"d8baff12-8d3f-4e32-ba3f-9f6b42260cab","resolution":{"observed_at":"2026-08-06T06:05:51.138572Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.128679Z","title":null,"venue":null,"work_id":"3bc717a4-ad26-4b69-8dd8-8fcd3511e90d","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.602700Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:00ceb9b7bfb7a53203c9588c7413e7e027de3e7b53c162fc14892343f980010f","observation_id":"2f25b4f9-7b8b-41d0-9e94-ab06f90c699b","resolution":{"observed_at":"2026-08-06T06:05:51.131352Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.119382Z","title":null,"venue":null,"work_id":"9178f91d-b6bd-4c5e-b98b-e197c65f0b07","year":2022},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.606305Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:263abef1d6745fbf541d1df8bec00a2406bb499ba3435b0e825457a532e78308","observation_id":"140bf015-8322-4355-8958-e4acdc62f33e","resolution":{"observed_at":"2026-08-06T06:05:51.122547Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.110436Z","title":null,"venue":null,"work_id":"12ef7213-24f9-4025-9be3-691cd6f42db2","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.610201Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:b642fbf692a2403abb31df42b1ed7ea199b9fe9ebdf599df514561eb78bf80cc","observation_id":"27340377-a071-4c28-806f-7a76b7023e29","resolution":{"observed_at":"2026-08-06T06:05:51.113629Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.100772Z","title":null,"venue":null,"work_id":"a5516722-32d6-4fbc-b387-4c50dfc56dfe","year":2022},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.612870Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:4123e950a18b11c700619b020b437c4015579128f08ddc95e9363212be00b24c","observation_id":"c4f64a98-71f8-42e1-b942-f66154a84fda","resolution":{"observed_at":"2026-08-06T06:05:51.103789Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.092589Z","title":null,"venue":null,"work_id":"3f9d3f10-9bd2-4b6b-ab49-d03c5bb8d1dd","year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.615747Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:dda7b575c302544607442f839a9283c583315439eafe4adb02c56418a3010770","observation_id":"baa6a7ba-aa0d-4b07-9331-706a016993b6","resolution":{"observed_at":"2026-08-06T06:05:51.095308Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.076791Z","title":null,"venue":null,"work_id":"33c3292a-32c3-42ed-b4b0-9f39c96b85d7","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.620868Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:db8e1aac19824c6ef561af164cd7db131d3571698254103d6a429f402d410da1","observation_id":"0f4ef40f-8ed6-451f-a1c5-6aa8293fe5cc","resolution":{"observed_at":"2026-08-06T06:05:51.079274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.623608Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.623608Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:617347a6cbb34c2323e6c6973f1b52063f54006ea5b172f7ee2b883c80c53c76","observation_id":"e7a908d4-8120-4087-9ef0-7ff48e0c7c48","resolution":{"observed_at":"2026-08-06T06:05:50.623608Z","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":"2026-08-06T06:05:51.055842Z","title":null,"venue":null,"work_id":"611a601c-71c2-4d22-a138-7c428b55a87b","year":2019},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.630388Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:d60492023cf0d466186631e134902b0d4ffd38777e7489199cc3c7daf6b6c51d","observation_id":"6d95b262-b1c1-477f-b1f3-ec9de731385b","resolution":{"observed_at":"2026-08-06T06:05:51.058196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.049054Z","title":null,"venue":null,"work_id":"429c53dc-dffb-4929-8097-bfbb2bb027ce","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.632626Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:daf213cbf25f5b7b714039af0b479f7a6a1e49fd9d8428a7afc2dc96e952bc76","observation_id":"220ae810-10e3-49a1-b131-45fbf6424eee","resolution":{"observed_at":"2026-08-06T06:05:51.051667Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.042054Z","title":null,"venue":null,"work_id":"a489396d-710c-4f92-b576-865fed8253ea","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.635326Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:c7f3a00491b9ee3c686c87b8ebdac4a192a8526b198fc55e94efd3a38d90283d","observation_id":"01f2ab50-8f57-46bb-9768-513d489e6bcf","resolution":{"observed_at":"2026-08-06T06:05:51.044986Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.035292Z","title":null,"venue":null,"work_id":"37d92f64-9891-4e97-bf4c-fdcbb44ea199","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.637734Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:0b08f8fcda64e638cf660e446498fef328d4ca8c338f7e747a1686f877e233e4","observation_id":"8631a2c2-391f-4642-abf1-c98c2c68efa0","resolution":{"observed_at":"2026-08-06T06:05:51.037861Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.026630Z","title":null,"venue":null,"work_id":"68b5d6fd-92ec-4358-9eef-aa9d5703a42c","year":2021},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.640013Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:66f1ab6863813663651830b8d57bf5c33d79730d55c152be9102085cb65cb10b","observation_id":"30d2ea7f-70b7-4700-94dd-49031d380840","resolution":{"observed_at":"2026-08-06T06:05:51.030762Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.019080Z","title":null,"venue":null,"work_id":"542c5c23-ffae-4231-9e4f-eb303ecf1ee0","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.642848Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:8a2d921c964a6dc42ced901e05c19c4ca9b739adb4a5bebc117140a5e26c4231","observation_id":"2e12a8ec-3cb3-4372-aaaa-03cd789dbecf","resolution":{"observed_at":"2026-08-06T06:05:51.021693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.012666Z","title":null,"venue":null,"work_id":"28b08c05-52b7-4b6e-9cc7-8bd4816f367d","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.645416Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:032fed665bc10f3898323caf5a4cec715ac976bc599f1976e395ed3d32083bbc","observation_id":"286549b1-3ecb-4ad5-93e9-2ef0d2d93db2","resolution":{"observed_at":"2026-08-06T06:05:51.014854Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.004558Z","title":null,"venue":null,"work_id":"87589fd1-820c-45be-9872-8217aa22df44","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.648073Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:7faec40254d57c9d2adf875cc32181ba618865cd6b8730a5551539fdda6bc509","observation_id":"07b93fb1-d338-41d9-a1ac-ecde617e4b11","resolution":{"observed_at":"2026-08-06T06:05:51.007117Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.997491Z","title":null,"venue":null,"work_id":"551bbffd-9858-401b-8634-327dff79810f","year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.651024Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:978854f625415fc6e89c735aad7fabf8e61cd37bf26b7aea5f2160fa7addcabb","observation_id":"c550e1cd-555a-425d-81c6-b2824151f019","resolution":{"observed_at":"2026-08-06T06:05:51.000106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.988759Z","title":null,"venue":null,"work_id":"9cf8de9d-308f-46a4-8945-f2917c946491","year":2009},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.657548Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:c935655f312c529c085f051612f84a447384d1dee013c47c0086f2be836941ef","observation_id":"2b15c6e1-75a1-4757-bb3f-c6b3e513e1a7","resolution":{"observed_at":"2026-08-06T06:05:50.991892Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.981159Z","title":null,"venue":null,"work_id":"7b493acf-9060-47f7-ae63-e52d63c713ae","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.660221Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:6af7075b7fd3237faf106be7eb8ecf8a5972bc07fd88b1493edaa18b2a57d103","observation_id":"e930ffa1-516c-4b1a-8160-a7709f17a1fd","resolution":{"observed_at":"2026-08-06T06:05:50.984007Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09254","last_updated":"2025-06-01T13:38:06Z","snapshot_observed_at":"2026-08-09T07:01:28.084445Z","submitted_at":"2025-02-13T12:10:05Z","title":"AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09254","snapshot_observed_at":"2026-08-06T06:05:50.662686Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.662686Z"},"links":{"cited_paper":"/paper/2502.09254","citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:c75ae3f649a5344c5541445911d90a424aa4353fe7f5001f9b7d4bcbc91741e4","observation_id":"53a7ba42-4c5c-4151-b2be-8f974f7b9859","resolution":{"observed_at":"2026-08-06T06:05:50.662686Z","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":"2026-08-06T06:05:50.973707Z","title":null,"venue":null,"work_id":"cf9847b7-d10f-4eb7-9873-aa9cbc1007ad","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.665857Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:333c76d336fcefbc01020e2569c5c6989ae478747a5b1ba1b597e91a4d2c2f8f","observation_id":"9cdd9366-09dd-4d01-9167-10ace41d8fc6","resolution":{"observed_at":"2026-08-06T06:05:50.976273Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.966362Z","title":null,"venue":null,"work_id":"fb91617c-3c85-44ac-96e9-8086bcc3fda0","year":2015},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.668959Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:67a141acd9c9e8bc0806e34c3824bc21a1c93618198ec2b794399e6e3f1438db","observation_id":"19dc2d2f-11c9-4652-8c78-117eb13c423e","resolution":{"observed_at":"2026-08-06T06:05:50.969099Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.959046Z","title":null,"venue":null,"work_id":"8b61a286-1505-421c-897e-967d778290dd","year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.671936Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:9e0cedbc820b39c1bc9a32bcf0b4257660487596bed3e350cecbf01f54b9c8fc","observation_id":"66b09173-e429-4269-810a-2e26c04172fc","resolution":{"observed_at":"2026-08-06T06:05:50.961789Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.13573","last_updated":"2023-05-23T01:05:34Z","snapshot_observed_at":"2026-07-06T15:31:01.106910Z","submitted_at":"2023-05-23T01:05:34Z","title":"SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13573","snapshot_observed_at":"2026-08-06T06:05:50.678637Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.678637Z"},"links":{"cited_paper":"/paper/2305.13573","citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:48f9f649cd059d37e6283406428f78f161dfd353f051fefdad46cc221d34ae6d","observation_id":"4a74ffc9-bb8a-4db0-8aa9-64a2f7fdbcf0","resolution":{"observed_at":"2026-08-06T06:05:50.678637Z","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":"2026-08-06T06:05:50.941187Z","title":null,"venue":null,"work_id":"c9e90481-ec84-483f-b401-b9572b55a101","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.681486Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:77c8bb55f93fcd984a7d4b845db542bcfe36cc5b1260a2533a62e26fcb9f0704","observation_id":"4c0edaf9-e068-48f0-820f-1afe42b16e1e","resolution":{"observed_at":"2026-08-06T06:05:50.944118Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.932943Z","title":null,"venue":null,"work_id":"9683eb84-35ae-477e-8ee2-294d9e81f4e3","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.683881Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:d01115aebaaed9cc4388e11c01b9a94405b048a4e676ec6e8434ef7c83616331","observation_id":"897a8c77-fcfb-4dd0-ab98-11c867e8348c","resolution":{"observed_at":"2026-08-06T06:05:50.936055Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.949986Z","title":"In The twelfth international conference on learning representations","venue":null,"work_id":"334276f0-58f0-497c-9368-5b070d8d2e08","year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.675048Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:33d56886af3041dabe2b5bb980c986ce9ad85c3dc4dc2f0a183183a3450c85a0","observation_id":"9309b1f6-e419-435c-b48c-aec5aa044cc7","resolution":{"observed_at":"2026-08-06T06:05:50.953618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.915414Z","title":null,"venue":null,"work_id":"282a3598-7368-4d03-9ed6-8abf25fe2782","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.688718Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:a735cf0c24cc8e99f21ae96bd60e64f7a337544ba2e76e116d21bfbf0d8378f6","observation_id":"9eb3c8a3-5a58-4dec-ab1b-6f57ed0db783","resolution":{"observed_at":"2026-08-06T06:05:50.918198Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.908223Z","title":null,"venue":null,"work_id":"2d2413dd-39fe-4488-b07e-3df1290c5c94","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.691063Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:9aeb30b99f465ec17f43ac2d32225cdc7b4921594d818abee5477b4e837e1614","observation_id":"cd42a9ab-2f3b-4073-a607-b63fcecb4089","resolution":{"observed_at":"2026-08-06T06:05:50.910676Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.897482Z","title":null,"venue":null,"work_id":"6c693655-2e16-4235-9368-1bc3ceb5f0de","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.693488Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:813937fb450520d5facaf526ecb6ce5b3b50ffddc97f3effa835c2e1d82a4712","observation_id":"9d30bc59-eb07-48d4-9a06-5455c7d00b5f","resolution":{"observed_at":"2026-08-06T06:05:50.901193Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.925019Z","title":null,"venue":null,"work_id":"fed0abaf-be25-4e06-9acf-852c0ef220bb","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.686170Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:c844348e01b83eb17e51893a6ad147cad4d9724d2082269ac79c3433b1b1062a","observation_id":"3e5f92ac-4263-4720-bc6d-25ff54ab1027","resolution":{"observed_at":"2026-08-06T06:05:50.928515Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.881607Z","title":null,"venue":null,"work_id":"9f2fabe7-5b0a-4562-af3d-44813aaa358d","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.700701Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:59e2dcee3f68f22069459308aaf8f40c6d3e1aadb57d2c7ab8ba1d76af2b1c4f","observation_id":"82eadb11-682f-4a78-a8d4-aa8fa3151c4d","resolution":{"observed_at":"2026-08-06T06:05:50.884295Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.873882Z","title":null,"venue":null,"work_id":"0a6de4e4-e269-4e52-afc1-3fb5981ec549","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.703678Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:e3c277c9ff2001e4964fb00161df6013f510081e7205835caaf65b0a141676e0","observation_id":"0eb0c47b-9ca8-4c87-8b22-d8252732f43b","resolution":{"observed_at":"2026-08-06T06:05:50.876965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.866413Z","title":null,"venue":null,"work_id":"d78bab4a-d503-4737-a6fe-ad3b4136fd19","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.706924Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:717d30555a8958d8b51da388dd41235631e56595f08128085fd6602adb565c51","observation_id":"001ab4a7-e63d-48c1-ac96-f90d222977a7","resolution":{"observed_at":"2026-08-06T06:05:50.869233Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.888825Z","title":null,"venue":null,"work_id":"fb35e630-762e-4132-9dda-599bf736e6c7","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.696777Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:e69f7326288abbd8f6ec336675a05d5c93870eba486c4e08291fed7fd34e8b39","observation_id":"dce72013-dc12-472e-b5b3-28dd6e2d4427","resolution":{"observed_at":"2026-08-06T06:05:50.891901Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.850871Z","title":null,"venue":null,"work_id":"587da4de-ea7c-4a36-88c0-60297d2a5295","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.714169Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:5e3b7881c1512bb962e14db50e7e49377afdd6070d002a5b8003237cf0b1296f","observation_id":"9f7dfdc4-9114-472f-8313-0e3ff22fc13d","resolution":{"observed_at":"2026-08-06T06:05:50.853791Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.840666Z","title":null,"venue":null,"work_id":"0e84114b-0558-4494-91be-6b43dba2c944","year":2012},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.717138Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:eb6ca78c5f0fec3b01e45cc871858100cbf2377bcf614975e35d1663cabf07cc","observation_id":"851ef8d5-45d3-44e9-86fd-93b2dc8e7018","resolution":{"observed_at":"2026-08-06T06:05:50.843786Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.831283Z","title":null,"venue":null,"work_id":"50ff884f-e49d-4a73-b914-e3ce1b05b653","year":2025},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.719783Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:8204f29bf56f37768e31a71ac07e09ca151fa7a34b19715d18f887768a0edbd6","observation_id":"f2c144a1-df01-4d77-87e4-16b0dc5675c5","resolution":{"observed_at":"2026-08-06T06:05:50.834131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.858930Z","title":null,"venue":null,"work_id":"5d5e8ae0-452d-4627-b470-9409ab7cd17d","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.710814Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:e4bfd7561c2b64692caf976bb9b853e302ed8e89c21975b0e393104c319eda93","observation_id":"629984dc-635e-416c-9f8f-d7d2d2c5d04d","resolution":{"observed_at":"2026-08-06T06:05:50.861664Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.725441Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.725441Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:04ff48b3a3fe5c1313a539ac5ad0f0128c5a9a43eab18fda83c84b11f8bee14d","observation_id":"b39d0228-2c6c-452f-93e8-fe6b88f5f5d8","resolution":{"observed_at":"2026-08-06T06:05:50.725441Z","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":"2026-08-06T06:05:50.807660Z","title":null,"venue":null,"work_id":"14ced863-f852-4f68-8cba-e778656bfb73","year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.728194Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:7c91222e4aafceee6e2fa223c7309a919d3f7845f74ae90b64c43a224714671c","observation_id":"55342990-b12c-4c2d-a9fb-30acd43a7acf","resolution":{"observed_at":"2026-08-06T06:05:50.810770Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.789078Z","title":null,"venue":null,"work_id":"252cce88-9126-434d-b2bf-acc5475c29ba","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.734439Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:9f66a50b1a62b301b407ad9ab40b4b33a8ac4d0993962735c7b06a8c8607acd7","observation_id":"c35aefff-940c-45bc-8a2b-7cfea5993d8e","resolution":{"observed_at":"2026-08-06T06:05:50.791658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.820959Z","title":null,"venue":null,"work_id":"6e3ced90-3fd4-4cb5-958c-281f37aeb315","year":2005},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.722570Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:f7e83ddc2c17fa2702b2c753ae309af6b4a23f4a830360ad3d33e019e1efc272","observation_id":"9eb00d41-6edf-4460-9a43-a91ffc00f1e5","resolution":{"observed_at":"2026-08-06T06:05:50.823817Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.796696Z","title":"In International Conference on Database Systems for Advanced Applications","venue":null,"work_id":"4bd28b8f-80de-422e-8fa5-d91c14d4f6d1","year":null},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.731478Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:0d8846c89f13d78b1df06761dd202398bfc9f8d6a37a0c9d946923104147dd52","observation_id":"99313f46-ca26-42cd-83f1-889c686f9eb0","resolution":{"observed_at":"2026-08-06T06:05:50.800212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:50.780271Z","title":"hijacked","venue":null,"work_id":"306fc329-59e6-4500-91a0-80dc74c47c9b","year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.736901Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:71fb5d2faa0194bc45a37a758a86c2f0b9851a28de6e198a106380ee0db9c02e","observation_id":"04c1e3d9-b6d8-49cf-9a3d-5d0bc97807ee","resolution":{"observed_at":"2026-08-06T06:05:50.783882Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.063706Z","title":"In 2016 IEEE 16th international conference on data mining (ICDM)","venue":null,"work_id":"bf780bba-708e-4f91-9b5b-1563d7939ce2","year":2016},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.627254Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:294e290fe78b4660aaa8437e072613072306ecbfb0af09a4b93505ff53852fcf","observation_id":"e4b1c0f6-1553-4601-8091-b4c0134a8cfe","resolution":{"observed_at":"2026-08-06T06:05:51.066676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T06:05:51.084415Z","title":"In Proceedings of the ACM Web Conference 2023","venue":null,"work_id":"c3aedd99-a29e-43db-ac66-361ce5bede36","year":2023},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.618465Z"},"links":{"citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:4f7a6d69c6406a19462085665a6d9b1879b0d5a6797913ad7e10ed2570d69654","observation_id":"1f02ee79-88be-4d1a-8f08-98c7587380aa","resolution":{"observed_at":"2026-08-06T06:05:51.087238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14886","last_updated":"2025-06-07T03:22:18Z","snapshot_observed_at":"2026-08-08T08:03:41.865903Z","submitted_at":"2024-10-18T22:23:59Z","title":"Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14886","snapshot_observed_at":"2026-08-06T06:05:50.653710Z","title":"arXiv preprint arXiv:2410.14886 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T06:05:50.653710Z"},"links":{"cited_paper":"/paper/2410.14886","citing_paper":"/paper/2508.00664"},"observation_digest":"sha256:682cffbefb2673435887b758f1afaf4a23cfa154c9f471e4f59285f7009d2b76","observation_id":"958d7c65-ad8d-4144-8a7e-590dc370e650","resolution":{"observed_at":"2026-08-06T06:05:50.653710Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.00664","last_updated":"2025-08-01T14:35:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T18:20:36.462050Z","submitted_at":"2025-08-01T14:35:50Z","title":"DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":45,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":50},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.00664."}