{"as_of":"2026-08-10T18:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:900b77e890b1d951cad6dd291297f7a76e85a40760c5306ef3b48041cd2c2293","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":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T22:42:57.593130Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":12,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2412.11194","last_updated":"2026-05-07T20:16:41Z","snapshot_observed_at":"2026-07-06T20:07:19.192945Z","submitted_at":"2024-12-15T14:01:41Z","title":"Direction for Detection: A Survey of Automated Vulnerability Detection and all of its Pain Points","version":2},"reference_index":156,"source":"pdf_text","source_observed_at":"2026-05-23T06:51:09.608735Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2412.11194"},"observation_digest":"sha256:54272f56e84d5ec3a3cbdc2734cd505ebc150bf3791ef47bd12df8d61feb8374","observation_id":"0c4482a5-066c-420c-9c19-50f2fb464ea7","resolution":{"observed_at":"2026-05-23T06:52:39.949213Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-09T22:42:57.593130Z","title":"Understanding the effectiveness of large language models in detecting security vulnerabilities,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00064","last_updated":"2025-01-30T20:44:46Z","snapshot_observed_at":"2026-08-09T22:36:33.326105Z","submitted_at":"2025-01-30T20:44:46Z","title":"Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T22:42:57.593130Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2502.00064"},"observation_digest":"sha256:94989b8f8774e2617fd100098d3288cf6c47d4352afcf24965601a00164c5c59","observation_id":"59ff3d9f-7b10-4908-8533-61f25a722984","resolution":{"observed_at":"2026-08-09T22:42:57.593130Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-08T13:58:13.887315Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.07049","last_updated":"2025-02-12T23:19:23Z","snapshot_observed_at":"2026-08-10T16:01:02.658381Z","submitted_at":"2025-02-10T21:33:38Z","title":"LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-08T13:58:13.887315Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2502.07049"},"observation_digest":"sha256:b5bada5dbc86dfdc5b8b3a088a524e87f5e5a23e159bdfc446853bf5acb7251d","observation_id":"3ed50a8f-dcae-4b88-b776-d9bf35956b90","resolution":{"observed_at":"2026-08-08T13:58:13.887315Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-07T15:26:14.456635Z","title":"Understanding the effectiveness of large language models in detecting security vulnerabilities","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.15242","last_updated":"2025-05-22T06:10:20Z","snapshot_observed_at":"2026-08-07T15:19:11.447714Z","submitted_at":"2025-05-21T08:18:41Z","title":"Adaptive Plan-Execute Framework for Smart Contract Security Auditing","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T15:26:14.456635Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2505.15242"},"observation_digest":"sha256:4b2a564395ca70400481507ca221c57c5b9071a6a0fbd217bff83e8567ce2686","observation_id":"e5793f6b-7db9-4fb4-8eb2-6c11fed80625","resolution":{"observed_at":"2026-08-07T15:26:14.456635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-07T13:55:14.910504Z","title":"Understanding the effectiveness of large language models in detect- ing security vulnerabilities,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20630","last_updated":"2025-05-27T02:16:27Z","snapshot_observed_at":"2026-08-08T14:10:26.797343Z","submitted_at":"2025-05-27T02:16:27Z","title":"SV-TrustEval-C: Evaluating Structure and Semantic Reasoning in Large Language Models for Source Code Vulnerability Analysis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:55:14.910504Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2505.20630"},"observation_digest":"sha256:395c09a2c063ee8e1fd78769a4721b3b44200bf346d20963c3bad1b8ef96de83","observation_id":"ebc4ddca-2b52-4d85-91cd-f4c1b35ea6a7","resolution":{"observed_at":"2026-08-07T13:55:14.910504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-07T11:01:16.122549Z","title":"Khare, S","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.03651","last_updated":"2025-06-11T03:55:51Z","snapshot_observed_at":"2026-08-09T21:34:23.805734Z","submitted_at":"2025-06-04T07:43:04Z","title":"Mono: Is Your \"Clean\" Vulnerability Dataset Really Solvable? Exposing and Trapping Undecidable Patches and Beyond","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T11:01:16.122549Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2506.03651"},"observation_digest":"sha256:6762a96d4adaf787e41987bcd8352160e96e2c8dadef0fbc1cad5c1347eb6145","observation_id":"51360553-e5fb-4062-9b05-de98435193e7","resolution":{"observed_at":"2026-08-07T11:01:16.122549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-07T11:04:55.882508Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11076","last_updated":"2025-06-04T03:41:30Z","snapshot_observed_at":"2026-08-07T15:08:25.870113Z","submitted_at":"2025-06-04T03:41:30Z","title":"DCE-LLM: Dead Code Elimination with Large Language Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T11:04:55.882508Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2506.11076"},"observation_digest":"sha256:166f95de53a41609711002794a76c88cb1b71e830915fc20a2d77ba5908714b2","observation_id":"427ec583-1bf0-4f8e-ae87-6e6ead532661","resolution":{"observed_at":"2026-08-07T11:04:55.882508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-07T04:19:10.099050Z","title":"Understand- ing the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.12100","last_updated":"2025-09-03T17:18:40Z","snapshot_observed_at":"2026-08-10T04:36:40.315398Z","submitted_at":"2025-06-12T21:20:10Z","title":"LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:10.099050Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2506.12100"},"observation_digest":"sha256:f652c78a9a824856af7fd4ec3f59f7544c30f9819f4da3ee63cfdd66f8328b2f","observation_id":"d85352a8-7bf2-4f5b-bec6-c701cb2fb5be","resolution":{"observed_at":"2026-08-07T04:19:10.099050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-06T23:35:04.178937Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.17644","last_updated":"2025-06-21T08:56:20Z","snapshot_observed_at":"2026-08-07T23:27:30.726322Z","submitted_at":"2025-06-21T08:56:20Z","title":"Measuring and Augmenting Large Language Models for Solving Capture-the-Flag Challenges","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T23:35:04.178937Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2506.17644"},"observation_digest":"sha256:14ef98ca0ab9999fc039d7560e911389f109bd616e5ac72f41285093064fecfd","observation_id":"89402b97-58a7-49fc-a238-510ff92fd30d","resolution":{"observed_at":"2026-08-06T23:35:04.178937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-06T17:59:03.805856Z","title":"Under- standing the effectiveness of large language models in detecting security vulnerabilities.arXiv preprint arXiv:2311.16169, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.09508","last_updated":"2025-07-13T06:27:33Z","snapshot_observed_at":"2026-08-09T07:50:21.445807Z","submitted_at":"2025-07-13T06:27:33Z","title":"A Mixture of Linear Corrections Generates Secure Code","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T17:59:03.805856Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2507.09508"},"observation_digest":"sha256:1f9ae078853fc80b1f3c6f15392314d75bd719083ee004a03c91bb9f25233c73","observation_id":"af50e917-27b9-45f7-a918-8cd64258dbb5","resolution":{"observed_at":"2026-08-06T17:59:03.805856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2507.11687","last_updated":"2026-04-20T02:18:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-07-15T19:44:20Z","title":"MetaLint: Easy-to-Hard Generalization for Code Linting","version":4},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-19T04:07:31.283348Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2507.11687"},"observation_digest":"sha256:4e0c6f328b0f299afa8e40e45770cd6299287a3da5c8b2929a6535b881694345","observation_id":"6514ab27-09b1-419f-b5be-0b0e523c5b79","resolution":{"observed_at":"2026-05-19T04:12:02.943059Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-06T16:24:29.165973Z","title":"Available: https://arxiv.org/abs/2311.16169","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.13629","last_updated":"2025-07-18T03:41:18Z","snapshot_observed_at":"2026-08-07T10:03:57.005879Z","submitted_at":"2025-07-18T03:41:18Z","title":"Large Language Models in Cybersecurity: Applications, Vulnerabilities, and Defense Techniques","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-06T16:24:29.165973Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2507.13629"},"observation_digest":"sha256:b2e527c33cf49d49f336d8788fd9a99893f8899098fc4e6c18caf4f96194ed06","observation_id":"c103a05d-e794-4ebd-a470-f2ab9f768484","resolution":{"observed_at":"2026-08-06T16:24:29.165973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2507.21954","last_updated":"2026-04-21T10:09:15Z","snapshot_observed_at":"2026-07-30T09:22:47.377640Z","submitted_at":"2025-07-29T16:06:08Z","title":"Fine-Tuning Code Language Models to Detect Cross-Language Bugs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-19T02:42:12.245477Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2507.21954"},"observation_digest":"sha256:67ee964113bbd444b0e703492fd603f668903b4ef711e906d3cf61b8cd2e2a90","observation_id":"60b453e2-e14f-49cf-8032-bffa27a979cf","resolution":{"observed_at":"2026-05-19T02:42:56.400694Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2510.04056","last_updated":"2026-05-12T17:38:57Z","snapshot_observed_at":"2026-07-06T22:31:44.964774Z","submitted_at":"2025-10-05T06:34:30Z","title":"QuiLL: An LLM-Based Vulnerability Assessment Framework for the Wild","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T10:56:28.973065Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2510.04056"},"observation_digest":"sha256:31b304a2064730da906fe7be157160b85ff2a580fe18f6f20bd29d2037c0a6ea","observation_id":"55edd2cc-5d49-450c-8b67-711a85c6ab6a","resolution":{"observed_at":"2026-05-18T11:01:17.221215Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2601.16456","last_updated":"2026-05-05T04:47:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-01-23T05:28:48Z","title":"RubberDuckBench: A Benchmark for AI Coding Assistants","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-16T12:16:40.086291Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2601.16456"},"observation_digest":"sha256:557047c1b34153c15c5337261b4e4ceb9398bcc91674863d586d34213aabf18b","observation_id":"69b53457-5785-4108-9a53-da2b8bc3f478","resolution":{"observed_at":"2026-05-16T12:17:51.990399Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2605.01885","last_updated":"2026-05-03T14:05:52Z","snapshot_observed_at":"2026-07-06T23:15:01.968194Z","submitted_at":"2026-05-03T14:05:52Z","title":"QASecClaw: A Multi-Agent LLM Approach for False Positive Reduction in Static Application Security Testing","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T16:00:33.661274Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2605.01885"},"observation_digest":"sha256:cf4a24539a38dd603bda030b2e543bb96bce9429d6f902059a5bf11e1906ad1d","observation_id":"d540fea6-84a1-480e-8742-9e963f3e9783","resolution":{"observed_at":"2026-05-11T09:26:03.474985Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2605.07900","last_updated":"2026-05-08T15:41:25Z","snapshot_observed_at":"2026-07-06T23:20:15.696237Z","submitted_at":"2026-05-08T15:41:25Z","title":"Longitudinal Analyses of SAST Tools: A CodeQL Case Study","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-11T03:34:46.864668Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2605.07900"},"observation_digest":"sha256:88b59d4e4a07f5ba4a2f8a4e1cc3377c017136be7da83bf03e7944cae2857b1a","observation_id":"e245f422-4b77-4039-b089-a2e0567c5d06","resolution":{"observed_at":"2026-05-11T03:35:55.330349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities","version":3},"cited_work":{"arxiv_id":"2311.16169","doi":"10.48550/arxiv.2311.16169","metadata_source":"arxiv_reference","pith_arxiv_id":"2311.16169","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Understanding the effectiveness of large language models in de- tecting security vulnerabilities","venue":"arXiv (Cornell University)","work_id":"e5454617-dd72-4a01-8927-764f7413e23f","year":2023},"citing_paper":{"arxiv_id":"2606.19149","last_updated":"2026-06-18T15:18:52Z","snapshot_observed_at":"2026-08-07T15:17:29.184846Z","submitted_at":"2026-06-17T14:56:04Z","title":"OpenAnt: LLM-Powered Vulnerability Discovery Through Code Decomposition, Adversarial Verification, and Dynamic Testing","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-26T20:21:37.520539Z"},"links":{"cited_paper":"/paper/2311.16169","citing_paper":"/paper/2606.19149"},"observation_digest":"sha256:8c4bffd79a6cbdaafd8ff536d6d5db83303cff33ea358fed7981c5d7cda4445c","observation_id":"3566f947-7fd3-46fd-8472-f12780947e2b","resolution":{"observed_at":"2026-07-04T01:29:22.422247Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.16169/citation-record","integrity":"/paper/2311.16169/integrity","json":"/paper/2311.16169/citation-record.json","paper":"/paper/2311.16169"},"outbound":[],"paper":{"arxiv_id":"2311.16169","last_updated":"2024-10-23T07:32:15Z","latest_version":3,"primary_category":"cs.CR","snapshot_observed_at":"2026-07-06T16:53:22.999597Z","submitted_at":"2023-11-16T13:17:20Z","title":"Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2311.16169."}