{"as_of":"2026-08-04T14:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3d1a9b87ae1b250e921e2d94f5a4213b7bbb978a16f72cf8a4356c76f1e65dc4","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T09:16:25.745868Z","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":"2026-06-29T14:33:31.707538Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.17058","last_updated":"2025-05-14T11:00:39Z","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T02:57:28Z","title":"ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17058","snapshot_observed_at":"2026-07-13T09:16:25.745868Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.05673","last_updated":"2026-05-27T09:34:12Z","snapshot_observed_at":"2026-08-02T18:02:37.265119Z","submitted_at":"2026-04-07T10:22:27Z","title":"Rectified Schr\\\"odinger Bridge Matching for Few-Step Visual Navigation","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-13T09:16:25.745868Z"},"links":{"cited_paper":"/paper/2411.17058","citing_paper":"/paper/2604.05673"},"observation_digest":"sha256:6c45a68ab265bb72759cb013ad49c6bcab05d957c9620ee6d1fbb17a4924a5f3","observation_id":"d661ffc0-bbca-40df-9c21-9b322a2e4dd6","resolution":{"observed_at":"2026-07-13T09:16:25.745868Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17058","last_updated":"2025-05-14T11:00:39Z","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T02:57:28Z","title":"ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System","version":2},"cited_work":{"arxiv_id":"2411.17058","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17058","snapshot_observed_at":"2026-06-29T14:33:31.707538Z","title":"Threatmodeling-llm: Automating threat modeling using large language models for banking system","venue":null,"work_id":"8002e8fe-8599-4c41-9f74-59c82a7b9334","year":2024},"citing_paper":{"arxiv_id":"2604.05674","last_updated":"2026-04-07T10:25:04Z","snapshot_observed_at":"2026-08-02T05:39:25.056006Z","submitted_at":"2026-04-07T10:25:04Z","title":"From Incomplete Architecture to Quantified Risk: Multimodal LLM-Driven Security Assessment for Cyber-Physical Systems","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T19:00:18.148837Z"},"links":{"cited_paper":"/paper/2411.17058","citing_paper":"/paper/2604.05674"},"observation_digest":"sha256:ba3bcb087f09988b76872de0cb5870228afa8811addf3ad40b64ab9cfb223f1d","observation_id":"dd75a666-4389-480b-9f71-55706c1aadb2","resolution":{"observed_at":"2026-05-10T23:35:51.372166Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17058","last_updated":"2025-05-14T11:00:39Z","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T02:57:28Z","title":"ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System","version":2},"cited_work":{"arxiv_id":"2411.17058","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17058","snapshot_observed_at":"2026-06-29T14:33:31.707538Z","title":"Threatmodeling-llm: Automating threat modeling using large language models for banking system","venue":null,"work_id":"8002e8fe-8599-4c41-9f74-59c82a7b9334","year":2024},"citing_paper":{"arxiv_id":"2605.01892","last_updated":"2026-05-03T14:15:11Z","snapshot_observed_at":"2026-07-06T23:15:01.968194Z","submitted_at":"2026-05-03T14:15:11Z","title":"CyberAId: AI-Driven Cybersecurity for Financial Service Providers","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-09T17:28:03.091189Z"},"links":{"cited_paper":"/paper/2411.17058","citing_paper":"/paper/2605.01892"},"observation_digest":"sha256:73818cc19ddcc0c783d81f7a64f19a5ccf079c6f679261e8c44b75685905c2fc","observation_id":"ccb55eb8-71d8-4e32-9f06-863e883c77c1","resolution":{"observed_at":"2026-05-11T16:21:06.903241Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17058","last_updated":"2025-05-14T11:00:39Z","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T02:57:28Z","title":"ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System","version":2},"cited_work":{"arxiv_id":"2411.17058","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.17058","snapshot_observed_at":"2026-06-29T14:33:31.707538Z","title":"Threatmodeling-llm: Automating threat modeling using large language models for banking system","venue":null,"work_id":"8002e8fe-8599-4c41-9f74-59c82a7b9334","year":2024},"citing_paper":{"arxiv_id":"2605.30604","last_updated":"2026-05-28T21:51:38Z","snapshot_observed_at":"2026-08-03T14:15:41.936474Z","submitted_at":"2026-05-28T21:51:38Z","title":"An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-29T06:24:58.968035Z"},"links":{"cited_paper":"/paper/2411.17058","citing_paper":"/paper/2605.30604"},"observation_digest":"sha256:17ede672aedaa266e261bba040a798f33f61220e0db6750f5f7ae44c10c4568c","observation_id":"1fa4e68a-1040-4bff-a0ba-7b3b8d9b6dfa","resolution":{"observed_at":"2026-06-29T14:33:31.709183Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.17058","last_updated":"2025-05-14T11:00:39Z","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T02:57:28Z","title":"ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.17058","snapshot_observed_at":"2026-07-12T03:57:47.560737Z","title":"ThreatModeling-LLM: Automating threat modeling using large lan- guage models for banking system,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.03233","last_updated":"2026-07-03T11:42:29Z","snapshot_observed_at":"2026-07-12T03:57:46.765970Z","submitted_at":"2026-07-03T11:42:29Z","title":"Agentic and Generative AI for Open-Source Intelligence and Cyber Investigations: Taxonomy, Evaluation, Challenges, and Future Directions","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-12T03:57:47.560737Z"},"links":{"cited_paper":"/paper/2411.17058","citing_paper":"/paper/2607.03233"},"observation_digest":"sha256:76ee367eb9522d4ef3da165b1e67b6bc704733b6e4779cbad6a82e736627e734","observation_id":"44be9660-4639-4627-ae45-482db1e22bcf","resolution":{"observed_at":"2026-07-12T03:57:47.560737Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2411.17058/citation-record","integrity":"/paper/2411.17058/integrity","json":"/paper/2411.17058/citation-record.json","paper":"/paper/2411.17058"},"outbound":[],"paper":{"arxiv_id":"2411.17058","last_updated":"2025-05-14T11:00:39Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-07-06T19:57:01.568072Z","submitted_at":"2024-11-26T02:57:28Z","title":"ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.17058."}