{"as_of":"2026-08-17T21:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:be7cff1c1e41fe87a1a624bf2fb01ff73b680ea8a4738b399d5bfa0f1614baab","coverage":[{"denominator":92,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":92,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T10:15:17.919822Z","state":"measured"},{"denominator":92,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":92,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2508.00507/citation-record","integrity":"/paper/2508.00507/integrity","json":"/paper/2508.00507/citation-record.json","paper":"/paper/2508.00507"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T10:15:16.959744Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:16.959744Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:f019f0db7edbaf41a54f7f342ce49b2e3bf53b623d3c142b03d89959af4d1470","observation_id":"f820883d-c535-4cbb-b332-50067fb2b8c5","resolution":{"observed_at":"2026-08-06T10:15:16.959744Z","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":"2026-08-06T10:15:16.977068Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:16.977068Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1ccbad2ee81cd464f83ce6c9fc22ebc17dfbc2c9428ca013c852dec7aeeb6db3","observation_id":"dfee05a4-bf6b-4c8e-9abf-44f47f1d1956","resolution":{"observed_at":"2026-08-06T10:15:16.977068Z","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":"2026-08-06T10:15:16.993074Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:16.993074Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:908061d36fa27d7a7867e44a85e8676d7b0b05bc4725f515a780ca9aa40d33dc","observation_id":"cf4a1ad8-f61a-4e89-a18e-f6a7d0fad56b","resolution":{"observed_at":"2026-08-06T10:15:16.993074Z","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":"2026-08-06T10:15:17.002798Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.002798Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:e86f350b4aa1cb48daa7cca9fde1187a1a11ca7b06aebb9eb9aaa5e59d899acc","observation_id":"278b832f-7349-4ed0-b873-56df86a446aa","resolution":{"observed_at":"2026-08-06T10:15:17.002798Z","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":"2026-08-06T10:15:17.011609Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.011609Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:3ad1010618da1209be8b0319f297aca453c0ecf0b390ee42faf1c6a9256c5c71","observation_id":"becf6e38-7477-4d5e-a620-bfa0dbc06d98","resolution":{"observed_at":"2026-08-06T10:15:17.011609Z","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":"2026-08-06T10:15:17.020468Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.020468Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:0f581ba53c5fe7594fa70cc51f2085c2c99d8c9376dc4947584211a8030cf98e","observation_id":"cb316d78-62c1-4204-8aa2-862153ae76c8","resolution":{"observed_at":"2026-08-06T10:15:17.020468Z","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":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-06T10:15:17.028638Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.028638Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:4a70e4fe977248ff89b8618cc730b9279ce1eca7476a4454f1e055c98b287cfa","observation_id":"acb0e176-5258-481b-b585-7c345fce1493","resolution":{"observed_at":"2026-08-06T10:15:17.028638Z","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":"2026-08-06T10:15:17.039299Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.039299Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:13e98b2de536494477c81164c4d1768c8bf7bfe52cebc393a727822d8e836b9b","observation_id":"e2f94c6b-e27e-47bb-b755-98564a3833d0","resolution":{"observed_at":"2026-08-06T10:15:17.039299Z","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":"2026-08-06T10:15:17.047037Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.047037Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:01122dab04ad87fb33c710274250578a8eca844f56c6b41530fdb6b52fe5213b","observation_id":"7d78af78-feb8-47aa-bc48-2dc2932612b0","resolution":{"observed_at":"2026-08-06T10:15:17.047037Z","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":"2026-08-06T10:15:17.057621Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.057621Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:62240492ad20563f34bb7055be371843af222cd251c0ecedd46fd9dff6fc5fa3","observation_id":"118f77b7-d68b-4ac5-a435-91552edd0371","resolution":{"observed_at":"2026-08-06T10:15:17.057621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T10:15:17.063810Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.063810Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:16b9e7c69235bc5e6bc0a1c8c96510dc7fc9b15fe8b7744bf2d28a408255a98f","observation_id":"da8ecea2-f086-4dd7-93a1-50e5669fdf5b","resolution":{"observed_at":"2026-08-06T10:15:17.063810Z","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":"2026-08-06T10:15:17.070777Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.070777Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:600381e7a801be367e6fffb89920f4f34d0e5646048461c4be69c391feb35ed8","observation_id":"da3b54b9-a92c-4c03-bd02-f9246c918765","resolution":{"observed_at":"2026-08-06T10:15:17.070777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01985","last_updated":"2025-01-02T04:15:37Z","snapshot_observed_at":"2026-08-16T13:13:11.536471Z","submitted_at":"2024-10-02T19:45:19Z","title":"Lost-in-Distance: Impact of Contextual Proximity on LLM Performance in Graph Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01985","snapshot_observed_at":"2026-08-06T10:15:17.078931Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.078931Z"},"links":{"cited_paper":"/paper/2410.01985","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:57909d3da76563985c66ae543b2713985690069d4636ceaf6946c2647789ba81","observation_id":"c4414ba5-646a-45a6-909a-22676fca773a","resolution":{"observed_at":"2026-08-06T10:15:17.078931Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18842","last_updated":"2023-05-30T08:34:13Z","snapshot_observed_at":"2026-08-16T15:28:25.551287Z","submitted_at":"2023-05-30T08:34:13Z","title":"Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge","version":1},"cited_work":{"arxiv_id":"2305.18842","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.18842","snapshot_observed_at":"2026-08-06T10:15:18.349763Z","title":"Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge","venue":"cs.CL","work_id":"23f37de0-78e3-440c-b4e4-712c53ca1fca","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.086426Z"},"links":{"cited_paper":"/paper/2305.18842","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:ca6f01c0f6c22f5e3f5b5492cb1321076b71941525cbabab73c58cedac062936","observation_id":"155be7b4-b2a5-48aa-957c-186a1493be08","resolution":{"observed_at":"2026-08-06T10:15:18.362128Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.095403Z","title":null,"venue":null,"work_id":null,"year":1954},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.095403Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:09fb60f3ed5883a9a46bcd5f413083806dc1e3b2ddf227ea1e822ff423670255","observation_id":"a36d6b50-fbfc-4139-bd7b-9aee088eafec","resolution":{"observed_at":"2026-08-06T10:15:17.095403Z","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":"2026-08-06T10:15:17.102302Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.102302Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:2fd226d869c5f887b7ae94ff07d71691a0d79807c47716010ebe9d62720b7429","observation_id":"1ed4775e-de1d-42c4-b276-9af69feb6879","resolution":{"observed_at":"2026-08-06T10:15:17.102302Z","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":"2026-08-06T10:15:17.109409Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.109409Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:dd852651cffbc7feb54b3015ab3bdb649b0e904de5b4c08315d1997f9d165202","observation_id":"8ff72d57-5cbe-4f58-b2a5-f2aaa176e70b","resolution":{"observed_at":"2026-08-06T10:15:17.109409Z","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":"2026-08-06T10:15:20.697636Z","title":null,"venue":null,"work_id":"01781cd2-0676-46f1-beb5-59af5a16abb4","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.129831Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:d62ca487aa26cd71597c8c44b4328df5bd38f47457be96d2073bc3e06087857d","observation_id":"d5d77b76-4ebd-4143-8061-86ed43b94423","resolution":{"observed_at":"2026-08-06T10:15:20.702870Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.676670Z","title":null,"venue":null,"work_id":"d85a0c8b-2494-42eb-88ed-79ca4d4632a1","year":1997},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.137229Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:f8b0b533913c54abc54ff03647b8e4247e43d9a8050d1c4392f0f43766ef7559","observation_id":"c9228f9a-a2c5-4ab6-8c10-391ad3359da2","resolution":{"observed_at":"2026-08-06T10:15:20.683558Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.632969Z","title":null,"venue":null,"work_id":"1f234f18-4504-4960-b85d-ac08506e6e8c","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.146997Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:54eb0758f7c3752bec1f45dc35dc0971010ec44cbb3adb90dd3e38eb099de93a","observation_id":"85bdd4d2-bf8e-4a1a-840c-4f3e83cd8579","resolution":{"observed_at":"2026-08-06T10:15:20.654544Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.155911Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.155911Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:495208941c3d7d5d0a07b6ee2713a32c891d55982dd7a19c72adf7ccad37bd53","observation_id":"c06564ee-8dcb-4533-ab2b-4f9c7d5d2265","resolution":{"observed_at":"2026-08-06T10:15:17.155911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16595","last_updated":"2024-06-15T09:26:21Z","snapshot_observed_at":"2026-08-16T20:12:35.091835Z","submitted_at":"2023-09-28T16:58:37Z","title":"Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16595","snapshot_observed_at":"2026-08-06T10:15:17.163112Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.163112Z"},"links":{"cited_paper":"/paper/2309.16595","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:220181720c4218dd7c0cff66993b4ccb47ae858ca245ae365cec3abf66837c02","observation_id":"23649a85-c76f-4e80-accd-862231a8f2c8","resolution":{"observed_at":"2026-08-06T10:15:17.163112Z","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":"2026-08-06T10:15:20.573768Z","title":null,"venue":null,"work_id":"0b90748e-3a9f-4455-87a8-1abd585563b7","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.171054Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:6dbc27af2be56385fbef8b52f26415669a98f5dbecfb72c504064a410174e5e7","observation_id":"8a269ddd-61c7-4528-ba85-d65b257bbb64","resolution":{"observed_at":"2026-08-06T10:15:20.590056Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.180451Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.180451Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:2b01c9d6b42afbc8fc3b79443cc457e40496e6628ea3eabf8344771abc45f0f9","observation_id":"c4136a8f-8721-470b-a5ee-ba99345fe308","resolution":{"observed_at":"2026-08-06T10:15:17.180451Z","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":"2026-08-06T10:15:20.503175Z","title":null,"venue":null,"work_id":"5e302eef-33f0-4a09-b1a9-fd0654498179","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.192301Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:4d5f7c01a9a11ae5cee6e6cfcdbaccfe1e3a1ba3df32906d423679c304b5df3d","observation_id":"3a7283cc-27ab-44ce-a76c-770fa0a6e773","resolution":{"observed_at":"2026-08-06T10:15:20.517041Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.05221","last_updated":"2022-11-21T16:38:35Z","snapshot_observed_at":"2026-08-14T05:42:29.067319Z","submitted_at":"2022-07-11T22:59:39Z","title":"Language Models (Mostly) Know What They Know","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.05221","snapshot_observed_at":"2026-08-06T10:15:17.209619Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.209619Z"},"links":{"cited_paper":"/paper/2207.05221","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:b914f106fdb25075f2e838e424202da713e2965c13d12a7a863d107062f95ca5","observation_id":"8fdb30c9-37cf-4cd3-88bf-f2ad71b014d8","resolution":{"observed_at":"2026-08-06T10:15:17.209619Z","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":"2026-08-06T10:15:20.468579Z","title":null,"venue":null,"work_id":"59461363-1d07-4c8b-a167-2ddc6821fac3","year":2022},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.231019Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:c892552db936e4f877475e1e4dab01d53bbea6d92dc178bcc8b6e417ff572258","observation_id":"6a51c618-f71a-4b39-bef0-643716e50a2b","resolution":{"observed_at":"2026-08-06T10:15:20.476245Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.443884Z","title":null,"venue":null,"work_id":"aa65a906-589c-430d-8daf-3380c3f6bd78","year":2015},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.244552Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:e83f9e6ec7791503c1d67276d1ce4643c7f7820550e5393002e16cba309dba68","observation_id":"3d4a0b0e-498a-483d-aea5-4fe198fbc9db","resolution":{"observed_at":"2026-08-06T10:15:20.450925Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.424031Z","title":null,"venue":null,"work_id":"6bda213c-674d-496b-8b66-e9677195083f","year":2017},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.250133Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1b0e21b3da7090342a9a0c5ac1a6b22e3413062a4702b61a47d99f0a9fee198a","observation_id":"926b071a-d0f5-4be3-b2b4-2361d7d2f18e","resolution":{"observed_at":"2026-08-06T10:15:20.429992Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.399768Z","title":null,"venue":null,"work_id":"4199c036-7deb-4774-bdf2-1c931370076e","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.260887Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:6a18de535b28e7969bd7441016287469c554d02f6d677795e11fa61d5a478039","observation_id":"f2ca1106-b15f-4b7e-bd2b-889cd0bf41cb","resolution":{"observed_at":"2026-08-06T10:15:20.407217Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.361519Z","title":null,"venue":null,"work_id":"a7162521-ceaa-4c50-bb7b-c56bdda85600","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.270364Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1ef66d72d241108046f37250192d76c7b1257e144775a0874cf878a4c048863c","observation_id":"c8dc7451-e217-45e1-9f42-21515c1eeb3d","resolution":{"observed_at":"2026-08-06T10:15:20.368589Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.275662Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.275662Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:d933d26d3912bbc0c6ac39ddf811c6527977c3a5adcdf133df68800fb0e6a005","observation_id":"db7c6e51-b24f-4682-a8c3-86f503b1bb75","resolution":{"observed_at":"2026-08-06T10:15:17.275662Z","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":"2026-08-06T10:15:20.304890Z","title":null,"venue":null,"work_id":"1d5af3e9-2a9f-431d-8f81-2948ff90a63d","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.283752Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:5d2595b3b8a8c1eb957583254c937fd887fc16fbb573fb04f3554b87bd0ed13f","observation_id":"1c3daff0-7523-4349-82c5-f58a5d95f5cf","resolution":{"observed_at":"2026-08-06T10:15:20.310948Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.309411Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.309411Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:77aab10e1cf49285a088f6c3957fa063ff0cf6c117662f2dd9c135aa9a90b35d","observation_id":"7855a7ab-9d21-4c4a-8a2a-85edaa049591","resolution":{"observed_at":"2026-08-06T10:15:17.309411Z","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":"2026-08-06T10:15:20.283748Z","title":"NeurIPS (2024)","venue":null,"work_id":"6a293275-609b-4c07-a798-86a7442b9d82","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.300232Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1b5c8cab2638d1f8ec3f39f370d603262b366ac69027dd23f271b63fbbf483f6","observation_id":"187cfd41-b5b0-42b6-bcbc-7fc36cfc9c8a","resolution":{"observed_at":"2026-08-06T10:15:20.291016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.162655Z","title":null,"venue":null,"work_id":"343c25f4-e238-4637-ad06-21b9bf983fb7","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.347591Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:96d1708904d29985309becf2694594e1b5825a801911cabd8a81626bd7c96139","observation_id":"d7fb35fd-8931-4af7-9eac-4ff5e50f8f1b","resolution":{"observed_at":"2026-08-06T10:15:20.168567Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05952","last_updated":"2024-02-04T05:51:14Z","snapshot_observed_at":"2026-08-16T14:21:46.784449Z","submitted_at":"2024-02-04T05:51:14Z","title":"Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05952","snapshot_observed_at":"2026-08-06T10:15:17.357060Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.357060Z"},"links":{"cited_paper":"/paper/2402.05952","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:481e72dc078ae84666b35a04e14435f94d62c8a4e089fe97f11b666de66b59e7","observation_id":"4cddc992-b0fe-4dad-abb2-615a73f8d579","resolution":{"observed_at":"2026-08-06T10:15:17.357060Z","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":"2026-08-06T10:15:20.211540Z","title":null,"venue":null,"work_id":"e321e8dc-da82-4e7e-a386-4aa2776c5e9d","year":2017},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.333792Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:2559bd4672df4dc0e10c9bda03f096a011462abfdcbd70226f75b12e6d422335","observation_id":"e348cd9f-4f41-40de-baba-d680f9e6c270","resolution":{"observed_at":"2026-08-06T10:15:20.230294Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.106763Z","title":null,"venue":null,"work_id":"7db2af4e-f0a1-4491-ab22-07c7156b8616","year":2008},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.376296Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:d838d2a9f5ab5ceef17f6a475a7104ebbdd732210ffb4d21d35ca6c7beb0ca54","observation_id":"b93b79d6-54c6-47fe-bb47-1517f3565e6e","resolution":{"observed_at":"2026-08-06T10:15:20.114976Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.072279Z","title":null,"venue":null,"work_id":"a5deec27-f5e6-4c1b-b8af-c810bdbbdc75","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.396847Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:5264a58788fd6f00eaed16e49302deaf207441e9ee480b5cdbd3c3a0e2f2c87e","observation_id":"d2f08503-851b-4373-899e-68bb0d086438","resolution":{"observed_at":"2026-08-06T10:15:20.085185Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.134039Z","title":null,"venue":null,"work_id":"9db652ee-dbbe-4c6d-9bb1-a016e05f19c6","year":2013},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.364916Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:3fe2ea7e079cdc421d733e447bf3f7b0c884ea4e7f84648b6e34502ad95ef9a8","observation_id":"76d938de-0ee0-4aa2-a95d-337f1a358608","resolution":{"observed_at":"2026-08-06T10:15:20.144553Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.961010Z","title":null,"venue":null,"work_id":"cdc68b07-ad2c-4855-8862-212ff519fb8f","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.447059Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1e7428296089ad5e801bf23939cedc910491172db8467767365fced1c3940857","observation_id":"8e9ec563-7af5-46ca-b839-db7fc8573b56","resolution":{"observed_at":"2026-08-06T10:15:19.970700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.881620Z","title":null,"venue":null,"work_id":"913eb68f-01a7-4f31-baf9-29d11090d1e3","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.492011Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:919431d826a664ad69587c44d68ce2b877152ea74ea6782b23e02578779f0b4f","observation_id":"fcf7a931-b7c4-4da7-a346-549688c4bc1a","resolution":{"observed_at":"2026-08-06T10:15:19.896428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.841799Z","title":null,"venue":null,"work_id":"cd581244-d433-4cc8-aeb0-4aa928f41988","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.508965Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:23ffdf7f9dea718237332eb3727b6715e9d57e3e8711a6948106968e3cc32668","observation_id":"32aea635-5f59-4580-8560-88488e01a861","resolution":{"observed_at":"2026-08-06T10:15:19.862672Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.997958Z","title":null,"venue":null,"work_id":"ed6d6fe6-7272-4958-9d22-0beb018f5b5a","year":2019},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.429272Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:86f9525b44668d8493837f836bc4fba983a28fb2f85dcda9c8b970183c02850d","observation_id":"427a25be-6003-4fb9-8791-f9f407bf7566","resolution":{"observed_at":"2026-08-06T10:15:20.005218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.531945Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.531945Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:c52ba32a2627e13ded39ba4c52c29698df540130d83ba087ff23d00123f0af40","observation_id":"a7102b5e-4686-45ce-911c-bf07f0b49851","resolution":{"observed_at":"2026-08-06T10:15:17.531945Z","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":"2026-08-06T10:15:19.767251Z","title":null,"venue":null,"work_id":"8c2252ac-5727-474f-91d6-9dc588265d1b","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.540121Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:6c71a6be50b4f883440c98ce9c5dc2dc634fc692465c3d626456a2844bd548c9","observation_id":"96be8e97-fb5a-434b-89d0-f305bb87e896","resolution":{"observed_at":"2026-08-06T10:15:19.777366Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.703094Z","title":null,"venue":null,"work_id":"9ca5a251-b11e-43c2-a35c-430d900c7fff","year":2017},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.572159Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:68950710f7c7d1835c77e409c0d955852a7596a0c39e05a8821c9edb711b26a4","observation_id":"915a6a64-85b3-4fdd-985e-0b3e5d2f14d8","resolution":{"observed_at":"2026-08-06T10:15:19.709718Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.672750Z","title":null,"venue":null,"work_id":"8dc05e10-9638-44ae-92aa-66ec6d1f9f03","year":2007},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.590041Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:cac53ead89dd95dac58d6e6f2ffda2824a7ccbe105117f1305c9d86609530937","observation_id":"1f1ed440-697a-472d-949f-5a330122489d","resolution":{"observed_at":"2026-08-06T10:15:19.680080Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.523021Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.523021Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:73636a8d0a68a3b11a6acb6e174ac1fb86a845cba2d0fa21b51b2858487174a0","observation_id":"c89bc5f7-db5c-4f45-9efc-455e89582765","resolution":{"observed_at":"2026-08-06T10:15:17.523021Z","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":"2026-08-06T10:15:19.610779Z","title":null,"venue":null,"work_id":"b25f9117-5e74-4325-b65a-db346b9b58e9","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.607911Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:875301ee9a29f361613a0e66590e824f9674350e96d29977e4d012e06271b8cc","observation_id":"55b379ce-562c-4b2f-96d9-c709b68441ae","resolution":{"observed_at":"2026-08-06T10:15:19.617751Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.585307Z","title":null,"venue":null,"work_id":"5cdc3af9-81ec-44b1-84bb-f83805112edd","year":2019},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.613421Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:a2a06d6a7fb7ab783312d72110d378e8a7ab651b66b17763d985893e0e74207c","observation_id":"5d62816a-e8f6-4059-a0f5-42c5d6d4481a","resolution":{"observed_at":"2026-08-06T10:15:19.592720Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.549777Z","title":null,"venue":null,"work_id":"384d9eb5-0bd4-4d6d-bfcc-79eb44c121d5","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.622863Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:b68bff8b8d8f427c20b9b78532d306e68635a1c5ab2e538a38a6474df46970f0","observation_id":"f31b4f6d-74bf-43bb-b214-0379def92a65","resolution":{"observed_at":"2026-08-06T10:15:19.564436Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.514771Z","title":null,"venue":null,"work_id":"6abf7f5d-4081-4e93-a97f-169b456ca15c","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.629892Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:4313a26e17c07ca0f97f7f09a9462a4a4d747cce1b613be65755ccc069472943","observation_id":"be86f5d4-5d92-4886-bab7-1f1848e8744d","resolution":{"observed_at":"2026-08-06T10:15:19.526398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.489946Z","title":"What It Can Create, It May Not Understand","venue":null,"work_id":"b4c6479f-74fa-4f4e-87ee-f7163e067438","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.636660Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:298c0608b79485b862a97ed8d7fac961e52dd15f4ccb09c12c6449b9980749ab","observation_id":"4fc57e4b-7420-4824-94da-65c3f8d0d68a","resolution":{"observed_at":"2026-08-06T10:15:19.495023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.636538Z","title":null,"venue":null,"work_id":"e6924187-b145-441c-947a-5d2814e7b5ca","year":2007},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.597880Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:bec4382f0c046ef05499812e4491ed304af699220b94718bc8f327b8c624cb16","observation_id":"0286ee57-84c5-4d5d-9aa3-e8350c8bc2cd","resolution":{"observed_at":"2026-08-06T10:15:19.651154Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.450893Z","title":null,"venue":null,"work_id":"5552cf93-42c2-4f7a-89c9-056aee46c790","year":2007},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.654336Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:a8c9bc5ff5de112fd072e19c847bd2d8735c6d9e004414a8eaa3897ce48dd25b","observation_id":"9aac1926-1414-4951-a82f-35a1856fbf18","resolution":{"observed_at":"2026-08-06T10:15:19.467826Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.423881Z","title":null,"venue":null,"work_id":"d5b2567d-1448-459b-8931-1ac21db557db","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.660840Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:baec0e7e44c8ff4efd611ae73cb0339ddf5eb48966dcafffdf0ab37d240e9d18","observation_id":"39c9f8d2-05bd-4358-916b-5d0a8dd954bf","resolution":{"observed_at":"2026-08-06T10:15:19.432694Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.391820Z","title":null,"venue":null,"work_id":"26782647-cfc4-4f77-b157-b7481d5173bf","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.671271Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:a2c5a1a69698746005797524cf8e2179552e5b2a90848874715709eb21cb9ded","observation_id":"3ed590aa-764c-414f-9445-de998c10c3a1","resolution":{"observed_at":"2026-08-06T10:15:19.402135Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.325164Z","title":null,"venue":null,"work_id":"6dcfab58-6940-4f6a-8f50-3f0d3742d339","year":2025},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.706727Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:0c493a240aa633e3c03797ce81485b0db6956063305be21093c10b962bfeeadc","observation_id":"f92af450-d132-48ed-bff6-d9d863e3d89d","resolution":{"observed_at":"2026-08-06T10:15:19.333690Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.291308Z","title":null,"venue":null,"work_id":"604f021c-7678-464e-9393-3de22b9f7656","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.712873Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:a59b4bd3ca06e64d1561470ed01f82aca0cca6b6a456420c71983fec05762502","observation_id":"0193517b-dc6e-45ad-95f6-5157dc434050","resolution":{"observed_at":"2026-08-06T10:15:19.301513Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07597","last_updated":"2024-09-24T03:01:25Z","snapshot_observed_at":"2026-08-14T00:16:39.034955Z","submitted_at":"2023-09-14T10:57:50Z","title":"C-Pack: Packed Resources For General Chinese Embeddings","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07597","snapshot_observed_at":"2026-08-06T10:15:17.642158Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.642158Z"},"links":{"cited_paper":"/paper/2309.07597","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:b9c54534825f2ef688e8b9423defd4d61cb3133ddccbdc906a7a585a9c33dee6","observation_id":"722dd532-f9d6-4b62-ad0a-fc11405b9faa","resolution":{"observed_at":"2026-08-06T10:15:17.642158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-08-17T11:08:48.802438Z","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":"2026-08-06T10:15:17.725850Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.725850Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:775d16fda87e3e0a1f5776d74b613d127bf48de12cb45b53d2d1c58bcdaa9f8f","observation_id":"718ee957-096e-4ad3-83ef-8b4f93decba0","resolution":{"observed_at":"2026-08-06T10:15:17.725850Z","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":"2026-08-06T10:15:19.223639Z","title":null,"venue":null,"work_id":"3d49bdcc-4d2d-41ff-ade8-8a25b660b667","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.735292Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:7dc3d1c49f30651f70bdb41ace966e0e45687a8d7b2aaebf357e15848f9388fa","observation_id":"b0591daf-0901-4a7e-ba43-7bdf66131dac","resolution":{"observed_at":"2026-08-06T10:15:19.239352Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:17.742138Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.742138Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:95bef3a8175649a3fd36190c25297dd15e5c57c993d2d86399abc1fe4c182dac","observation_id":"5a22a130-7a92-4ebe-9022-9bcd48f66272","resolution":{"observed_at":"2026-08-06T10:15:17.742138Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09296","last_updated":"2024-07-01T03:38:57Z","snapshot_observed_at":"2026-08-16T15:23:34.684133Z","submitted_at":"2023-06-15T17:20:46Z","title":"KoLA: Carefully Benchmarking World Knowledge of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09296","snapshot_observed_at":"2026-08-06T10:15:17.752685Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.752685Z"},"links":{"cited_paper":"/paper/2306.09296","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:69f107e3667d694c29a8e9e56becbfedf83252b9cbe7783c69a59739d5ffbf90","observation_id":"740c110b-f963-40c5-8461-2f1d39e869a4","resolution":{"observed_at":"2026-08-06T10:15:17.752685Z","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":"2026-08-06T10:15:19.179863Z","title":null,"venue":null,"work_id":"dc1ec078-35ed-4446-ac90-c9ae795992e8","year":2024},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.760673Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:df5dadd65a27e212be86b1ddbc0c14178df07857fc88e6d2e50cb95cfffe5fdf","observation_id":"b4c68225-94ff-48b7-9954-d24d1eb72f0b","resolution":{"observed_at":"2026-08-06T10:15:19.186811Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.139124Z","title":null,"venue":null,"work_id":"1e91b918-8d77-407d-82d2-913cd493e655","year":2022},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.767645Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:022a364ce6c0113f806836ff9a299627836ad20f0347a1cf4f30a5059358ce82","observation_id":"d10ae271-1527-4e99-bc0a-9674cadba6c6","resolution":{"observed_at":"2026-08-06T10:15:19.149071Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.261180Z","title":null,"venue":null,"work_id":"f6dfbae0-cc2d-45e0-b217-d608bae38679","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.720232Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:991d201d9f1a77f24df40f1413f42b5b7037e21dbe59568fb3a3cce8624f5923","observation_id":"408e56fe-0560-4e62-a296-998efc27fff3","resolution":{"observed_at":"2026-08-06T10:15:19.270738Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.063502Z","title":null,"venue":null,"work_id":"04a24010-7664-4e69-9b8a-944302ec8c7b","year":2022},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.782851Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:0d2a52b00049253090d1337789147fedad1f68cda1893bec83c8b0493e578e40","observation_id":"2f696a64-94d4-4b52-8e97-0ea631835709","resolution":{"observed_at":"2026-08-06T10:15:19.084192Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.034004Z","title":null,"venue":null,"work_id":"73ba5810-4d1d-4cbf-8b85-612b73a4b6d4","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.791098Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:6daed82722e67c08d12206ba05cf3ba45c43bcb2d63f96e6bb7de35c744f9dd3","observation_id":"9f1483eb-3889-4df8-a392-f9a137e6ec74","resolution":{"observed_at":"2026-08-06T10:15:19.042272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.973380Z","title":null,"venue":null,"work_id":"7bafa51b-cf58-4ce4-a89f-685abeb3c739","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.804400Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:89becacdcdcbf013e217c83490188b4c0fe51c54568eb4b4e46aa7d2f9df45c0","observation_id":"2ed1f31a-22f0-42e5-a9ab-de446864e088","resolution":{"observed_at":"2026-08-06T10:15:18.979018Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01089","last_updated":"2023-10-02T11:03:57Z","snapshot_observed_at":"2026-08-16T14:55:55.136483Z","submitted_at":"2023-10-02T11:03:57Z","title":"GraphText: Graph Reasoning in Text Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01089","snapshot_observed_at":"2026-08-06T10:15:17.813066Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.813066Z"},"links":{"cited_paper":"/paper/2310.01089","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:fff42f7dd6095386277027ed5cf832dcc1c6f112444fdf4e738eef86d669282f","observation_id":"a581f8ae-3e9a-43ea-b169-1b614c01e5f1","resolution":{"observed_at":"2026-08-06T10:15:17.813066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-14T10:40:26.323157Z","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":"2026-08-06T10:15:17.819950Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.819950Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1942dd3ffbba77f7416e3228c74065c2fdb13b74abc692daf980e92b47f9463c","observation_id":"771c1cd5-b457-462c-a894-11bf9633e978","resolution":{"observed_at":"2026-08-06T10:15:17.819950Z","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":"2026-08-06T10:15:18.919454Z","title":null,"venue":null,"work_id":"92ec2a16-5284-441b-a3ab-e097a99f4969","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.836510Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:f1519bd3af464b74372dbf613d763df105fba9678f1b81fb365b0088a1d046f2","observation_id":"dcdb0a8b-ada2-4bc2-a054-43f8e58db754","resolution":{"observed_at":"2026-08-06T10:15:18.948194Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.108089Z","title":null,"venue":null,"work_id":"3d98da6c-d75a-43c7-8b36-d0ed45073594","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.775914Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:b912bba68172c6b4e029efb9505633958203576cb44bcd22c5ea1a63217285ba","observation_id":"7995d252-e5b3-40fb-80c1-2a956b57f163","resolution":{"observed_at":"2026-08-06T10:15:19.116462Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.816283Z","title":null,"venue":null,"work_id":"697025af-1423-4126-9768-65838134681e","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.857590Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:3fb07e92c3a3cc176cd4db60b5799572c3f5a46f50a28813a0548dbc90267795","observation_id":"08a5c5fd-072c-4e3c-8a69-38d253a67d90","resolution":{"observed_at":"2026-08-06T10:15:18.824508Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.999864Z","title":"In NeurIPS 2023 Workshop: New Frontiers in Graph Learning","venue":null,"work_id":"6dfa6c4c-961e-4f25-8ade-471b9642aa30","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.799210Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:6da41567407f826cfbc2d62ec3e6eec206d0911967ec2da4a79c12b39badbc50","observation_id":"d87c8cca-f610-4ef5-afa6-99c69a2c5c7c","resolution":{"observed_at":"2026-08-06T10:15:19.016258Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.876782Z","title":null,"venue":null,"work_id":"245c3829-704e-4d36-9083-3f758a5da4fc","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.843504Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:c1afe219c9ee961c203012ad8ec4911178b28a0bd0f92ee0ebebce8d90c19169","observation_id":"731d81a7-68f5-45d1-86bb-5aa51582435e","resolution":{"observed_at":"2026-08-06T10:15:18.882701Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.849552Z","title":null,"venue":null,"work_id":"623ccfdd-a4ed-4e38-92d9-b80e4574106e","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.848666Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:ee4c0dfbe57464070ba5b344932f2d05767acc594c23c6f66e628e17ec140b3b","observation_id":"8e4cf45b-1663-4a5b-b572-aafc2412a5ba","resolution":{"observed_at":"2026-08-06T10:15:18.857745Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.560848Z","title":"Trevor0-Roper","venue":null,"work_id":"3344991d-9611-46ec-bef8-b90a8ea862db","year":2025},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.919822Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:efe9069180e2f785034e01569a76d7756cea9991c8c30af1f6d605bcc125d270","observation_id":"f4a99153-18a0-463f-9fda-dfa293b32cbb","resolution":{"observed_at":"2026-08-06T10:15:18.568152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.768513Z","title":"astonishing","venue":null,"work_id":"f9a3c379-1b60-4994-acb2-48e324d2ce74","year":1939},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":288,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.866742Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:04a0c7a2337500f829141c958b4cdf77098ee3af3512fa41c45f7318067dc928","observation_id":"2288a4ce-715d-45fc-bb3a-4496819a0e8a","resolution":{"observed_at":"2026-08-06T10:15:18.776955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.597805Z","title":"Coming to America: A History of Immigration and Ethnicity in American Life","venue":null,"work_id":"27fb9ec6-0e11-4a8e-a867-38f8e920f8c9","year":1939},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":382,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.909619Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:7b18f91185a82b85fc7cd731aa6f5f84674236bcec952b163c5f5b91e8a7968d","observation_id":"824c9d43-0f4f-492c-958c-b32e76f03c2d","resolution":{"observed_at":"2026-08-06T10:15:18.630833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.647282Z","title":"Coming to America: A History of Immigration and Ethnicity in American Life","venue":null,"work_id":"13dba7e1-0c60-4071-b9c9-e1cc149d2e1a","year":2025},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":385,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.899604Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:1501c545c29b879f41d2430fd475defa5e4050c62b225843789ed28e23d6b030","observation_id":"86915bf1-79a9-4599-90fa-66e5b21e1de0","resolution":{"observed_at":"2026-08-06T10:15:18.654784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.922777Z","title":"In Proceedings of the 16th international conference on World Wide Web","venue":null,"work_id":"50740009-a1cf-4fba-817a-557031444b22","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2007,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.475643Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:52d6a55e845452385c061043397c089c05813c4cede5eae3054d98b04196568b","observation_id":"2f26ee8c-ca54-43bb-8285-4c0f02cf6e57","resolution":{"observed_at":"2026-08-06T10:15:19.931478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.023348Z","title":"In 2013 IEEE 29th international conference on data engineering workshops (ICDEW)","venue":null,"work_id":"3f3d6f84-779f-4e38-b36a-a91d5e4c96ff","year":2013},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.414856Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:e392e0520de5160f0f4fcd7a5826203cdd51ee27e7291f16f0b5109ef6607777","observation_id":"fb1d2aaf-0181-4b98-8f84-e67147925716","resolution":{"observed_at":"2026-08-06T10:15:20.029593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.245048Z","title":"IEEE transactions on neural networks and learning systems 33, 6 (2021), 2378–2392","venue":null,"work_id":"e3eb9afe-59c9-4356-b56b-9c1242f768be","year":2021},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.318450Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:710a638c901e423cfd7259b943b526b484165b67f5efa6a575cbd1595bd3175b","observation_id":"eb496c8e-26bb-4da3-be90-91aee62d73f1","resolution":{"observed_at":"2026-08-06T10:15:20.251244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.728052Z","title":"Expert Systems with Applications 213 (2023), 118903","venue":null,"work_id":"32adfc5c-ed96-48b1-90d4-04c568f04d69","year":2023},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.558807Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:f7bb663c5fd57c4f360266546ae2ebe38e2e941e699e9e310015e83c6b607504","observation_id":"cca0c5a5-ad2f-412d-b598-637028c62838","resolution":{"observed_at":"2026-08-06T10:15:19.736263Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:20.718862Z","title":"In Proceedings of the AAAI Conference on Artificial Intelligence , Vol","venue":null,"work_id":"7991059c-1c1d-42d0-9ff0-96e0959907eb","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.121713Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:ae4c8b9ea680258fae6d198e802e0c933b237295efa30fb4336515c5088b375f","observation_id":"df16f532-a620-4b01-b5f7-c5ce68da17b9","resolution":{"observed_at":"2026-08-06T10:15:20.725909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:19.362072Z","title":"In Proceedings of the AAAI Conference on Artificial Intelligence, Vol","venue":null,"work_id":"fc38ccae-4a62-4540-bc40-bb87a8425155","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.693953Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:eb1fc7f64da61a427cbd5b9826ae75200eae97dfa6751556ca4f2d895debd211","observation_id":"5fe273b3-582a-45a4-8413-0566b1da0062","resolution":{"observed_at":"2026-08-06T10:15:19.371800Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.716348Z","title":null,"venue":null,"work_id":"89c9e94e-b958-4f50-8209-5550a7b7c62a","year":null},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":7440,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.883605Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:34ddfba12ff581158b3731243a65af0d9531ac60102c2de465eb1d6c151641e9","observation_id":"b7a8cbc0-e30d-4c6b-b5dd-062a7edeb4bd","resolution":{"observed_at":"2026-08-06T10:15:18.731391Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-06T10:15:18.679899Z","title":"The Atlantic Campaign: World War II‘s Great Struggle at Sea,","venue":null,"work_id":"5aa1ede7-3bf9-4eea-b7ce-5a93d536eea9","year":1941},"citing_paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection","version":1},"reference_index":9454,"source":"pdf_text","source_observed_at":"2026-08-06T10:15:17.890386Z"},"links":{"citing_paper":"/paper/2508.00507"},"observation_digest":"sha256:6d36237d9b94ba1fd70b458ede4898151b79e00d7ca31bbee19236926e266477","observation_id":"204596cd-439a-440c-8aa8-a317ff87d6fb","resolution":{"observed_at":"2026-08-06T10:15:18.690714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.00507","last_updated":"2025-08-01T10:36:39Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T14:10:03.098692Z","submitted_at":"2025-08-01T10:36:39Z","title":"Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection"},"reference_resolution":{"displayed":92,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":77,"verified_exact":1,"verified_fuzzy":14},"total_outbound_references":92},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 92 of 92 outbound references and 0 inbound Pith citation observations for arXiv:2508.00507."}