{"as_of":"2026-08-08T04:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dfe3bf48219d6450c4f825524aa17643a9f1d294aad14a29f485a75e5894f8b0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:26:36.775514Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T20:05:04.418878Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.07626","last_updated":"2024-08-28T06:18:28Z","snapshot_observed_at":"2026-07-06T18:13:29.693360Z","submitted_at":"2024-05-13T10:37:50Z","title":"AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07626","snapshot_observed_at":"2026-08-06T23:26:36.775514Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.12472","last_updated":"2025-06-23T02:40:16Z","snapshot_observed_at":"2026-08-06T23:20:32.020895Z","submitted_at":"2025-06-23T02:40:16Z","title":"A Survey of AIOps in the Era of Large Language Models","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-06T23:26:36.775514Z"},"links":{"cited_paper":"/paper/2405.07626","citing_paper":"/paper/2507.12472"},"observation_digest":"sha256:07778a54680430566058a41d8b49567941533e361dfa108db8bc7209cff83d39","observation_id":"5e8af14d-ae62-4b5e-be72-4542ff9d5525","resolution":{"observed_at":"2026-08-06T23:26:36.775514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07626","last_updated":"2024-08-28T06:18:28Z","snapshot_observed_at":"2026-07-06T18:13:29.693360Z","submitted_at":"2024-05-13T10:37:50Z","title":"AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07626","snapshot_observed_at":"2026-08-05T15:10:28.372375Z","title":"Anomalyllm: Few-shot anomaly edge detection for dynamic graphs using large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20370","last_updated":"2025-08-28T02:34:19Z","snapshot_observed_at":"2026-08-05T15:10:27.348039Z","submitted_at":"2025-08-28T02:34:19Z","title":"Adaptive Root Cause Localization for Microservice Systems with Multi-Agent Recursion-of-Thought","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T15:10:28.372375Z"},"links":{"cited_paper":"/paper/2405.07626","citing_paper":"/paper/2508.20370"},"observation_digest":"sha256:42a878a72dec322533a7f7fcb636466171c6ac9ae6be4c6b30649a8b378cf4cb","observation_id":"a6d12069-524b-4a7c-b8cf-88aec7f4fc0f","resolution":{"observed_at":"2026-08-05T15:10:28.372375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07626","last_updated":"2024-08-28T06:18:28Z","snapshot_observed_at":"2026-07-06T18:13:29.693360Z","submitted_at":"2024-05-13T10:37:50Z","title":"AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models","version":2},"cited_work":{"arxiv_id":"2405.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.07626","snapshot_observed_at":"2026-06-30T20:05:04.418878Z","title":"Anomalyllm: Few-shot anomaly edge detection for dynamic graphs using large language models,","venue":null,"work_id":"e1fc6732-985f-4517-9f37-2c6a45195735","year":2024},"citing_paper":{"arxiv_id":"2604.11094","last_updated":"2026-04-13T07:12:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-13T07:12:04Z","title":"E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T15:31:09.600785Z"},"links":{"cited_paper":"/paper/2405.07626","citing_paper":"/paper/2604.11094"},"observation_digest":"sha256:e6a2aeae9bd36b62def8533ab8bd08d8eee91cf9bc31e42affc705f7238470c2","observation_id":"908a880e-1361-488d-ba26-234f4bc51775","resolution":{"observed_at":"2026-05-11T10:25:59.315711Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07626","last_updated":"2024-08-28T06:18:28Z","snapshot_observed_at":"2026-07-06T18:13:29.693360Z","submitted_at":"2024-05-13T10:37:50Z","title":"AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models","version":2},"cited_work":{"arxiv_id":"2405.07626","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.07626","snapshot_observed_at":"2026-06-30T20:05:04.418878Z","title":"Anomalyllm: Few-shot anomaly edge detection for dynamic graphs using large language models,","venue":null,"work_id":"e1fc6732-985f-4517-9f37-2c6a45195735","year":2024},"citing_paper":{"arxiv_id":"2605.14866","last_updated":"2026-05-14T14:13:59Z","snapshot_observed_at":"2026-07-06T23:26:13.644646Z","submitted_at":"2026-05-14T14:13:59Z","title":"Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-06-30T20:04:34.841056Z"},"links":{"cited_paper":"/paper/2405.07626","citing_paper":"/paper/2605.14866"},"observation_digest":"sha256:d7b98744c2e173e8d051a22373b0fef5f18a86cd70595820c00b9409507ba306","observation_id":"5350de15-3980-4dae-85ac-a80fd067747d","resolution":{"observed_at":"2026-06-30T20:05:04.420289Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2405.07626/citation-record","integrity":"/paper/2405.07626/integrity","json":"/paper/2405.07626/citation-record.json","paper":"/paper/2405.07626"},"outbound":[],"paper":{"arxiv_id":"2405.07626","last_updated":"2024-08-28T06:18:28Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:13:29.693360Z","submitted_at":"2024-05-13T10:37:50Z","title":"AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language Models"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.07626."}