{"as_of":"2026-08-14T16:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5463ab706ea50e4631a4471752153a48b8f1d126c2af85aaef4c2fbb99154b66","coverage":[{"denominator":40,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":40,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T15:12:30.728545Z","state":"measured"},{"denominator":42,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":42,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:24:49.781374Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.16585","snapshot_observed_at":"2026-08-11T14:24:49.781374Z","title":"Llmxcpg: Context-aware vulnerability detection through code property graph-guided large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2412.12039","last_updated":"2025-09-11T18:10:07Z","snapshot_observed_at":"2026-08-12T15:16:07.307378Z","submitted_at":"2024-12-16T18:08:14Z","title":"Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T14:24:49.781374Z"},"links":{"cited_paper":"/paper/2507.16585","citing_paper":"/paper/2412.12039"},"observation_digest":"sha256:41baa9d0a70631ac00ada1529cfbabd3ad539078952b7ba9ac3d8a07441a360d","observation_id":"7ee68ffd-a58a-48d4-b596-ce3e53517c18","resolution":{"observed_at":"2026-08-11T14:24:49.781374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"cited_work":{"arxiv_id":"2507.16585","doi":"10.48550/arxiv.2507.16585","metadata_source":"pith","pith_arxiv_id":"2507.16585","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","venue":"cs.CR","work_id":"9c706826-77ec-4bba-838c-67f6a78cdd20","year":2025},"citing_paper":{"arxiv_id":"2607.13439","last_updated":"2026-07-15T04:49:05Z","snapshot_observed_at":"2026-08-10T02:50:18.482883Z","submitted_at":"2026-07-15T04:49:05Z","title":"DREA: Decoupled Reasoning and Exploration Agents for Repository-Level Vulnerability Detection","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T05:13:51.813575Z"},"links":{"cited_paper":"/paper/2507.16585","citing_paper":"/paper/2607.13439"},"observation_digest":"sha256:11190439238992ca9cc5893f60f5a88a3b482c144d967ae21648cc6381841c85","observation_id":"1b5da40e-d9ab-4635-8e1d-565610a0369b","resolution":{"observed_at":"2026-08-02T05:18:41.645471Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.16585/citation-record","integrity":"/paper/2507.16585/integrity","json":"/paper/2507.16585/citation-record.json","paper":"/paper/2507.16585"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T15:12:31.367384Z","title":"Snopy: Bridging sample denoising with causal graph learning for effective vulnerability detection","venue":null,"work_id":"71cc7758-8d4c-4f80-9d29-152782e4e680","year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.554511Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:634778c3ba9d66a42309bc98115776b56c2a041085cfe5b37af5f5401d2d6f56","observation_id":"bac9b707-dfb0-426f-a81d-b5ec7d82af54","resolution":{"observed_at":"2026-08-06T15:12:31.378551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.335640Z","title":"Deep learning based vulnerability detection: Are we there yet","venue":null,"work_id":"86e03335-79bc-42ce-bb9b-deb43d06c9d7","year":2021},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.559149Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:3aa9d8764e4768b700b40bd90201ffa8c4100b68248cb75217c9289d0d4a45e1","observation_id":"79c127e5-7162-439a-8f04-4b08f3943f52","resolution":{"observed_at":"2026-08-06T15:12:31.347951Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.301640Z","title":"Vdda: An effective software vulnerability detection model based on deep learning and attention mechanism","venue":null,"work_id":"734041a5-ce85-4937-ba77-88efc2f83126","year":2023},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.564054Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:e0b97ad1712203716daa9521c26d32cba3a8eea0ea1f3b05842a26785b34ffe1","observation_id":"36e7ef65-3baf-42ec-8adb-bf71632478c2","resolution":{"observed_at":"2026-08-06T15:12:31.317485Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.265008Z","title":"Diversevul: A new vulnerable source code dataset for deep learning based vulnerabil- ity detection","venue":null,"work_id":"4d98070a-01f3-41f2-8f0d-3a29c76b0e60","year":2023},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.567975Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:0a19fcaa2b4e19557252c22ab61fe931fbad63224ec2ff5b6d5b94549db3ded8","observation_id":"f05abff6-1355-4033-a725-458176eef1b0","resolution":{"observed_at":"2026-08-06T15:12:31.279333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.18624","last_updated":"2024-07-10T05:26:17Z","snapshot_observed_at":"2026-08-14T13:37:18.103213Z","submitted_at":"2024-03-27T14:34:29Z","title":"Vulnerability Detection with Code Language Models: How Far Are We?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.18624","snapshot_observed_at":"2026-08-06T15:12:30.572299Z","title":"Vulnerability detec- tion with code language models: How far are we?arXiv preprint arXiv:2403.18624, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.572299Z"},"links":{"cited_paper":"/paper/2403.18624","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:c261677054807fd7d8a5129d770693aa8b949bced63713c0850e90500d288344","observation_id":"1d089c26-7360-40a5-aa4c-e286759d0b59","resolution":{"observed_at":"2026-08-06T15:12:30.572299Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03718","last_updated":"2024-06-06T03:29:05Z","snapshot_observed_at":"2026-08-12T23:49:09.720752Z","submitted_at":"2024-06-06T03:29:05Z","title":"Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03718","snapshot_observed_at":"2026-08-06T15:12:30.576571Z","title":"Generalization-enhanced code vulnerability detection via multi-task instruction fine-tuning.arXiv preprint arXiv:2406.03718, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.576571Z"},"links":{"cited_paper":"/paper/2406.03718","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:d525dafe6bc6f45724245e78b1aa8ef020ee0d017b8844164fb8b348555be3b2","observation_id":"bcab2999-c725-4d70-839f-4001068fd4a2","resolution":{"observed_at":"2026-08-06T15:12:30.576571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08155","last_updated":"2020-09-18T15:38:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-02-19T13:09:07Z","title":"CodeBERT: A Pre-Trained Model for Programming and Natural Languages","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08155","snapshot_observed_at":"2026-08-06T15:12:30.580774Z","title":"Codebert: A pre-trained model for programming and natural languages.arXiv preprint arXiv:2002.08155, 2020","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.580774Z"},"links":{"cited_paper":"/paper/2002.08155","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:24fe417330db43d4c1e477dc7fff6ddd7c899634ffaec66331bc3eb82ae23681","observation_id":"75bef3ce-fe7c-4f5f-adca-dbca05b37141","resolution":{"observed_at":"2026-08-06T15:12:30.580774Z","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":"2026-08-06T15:12:30.585205Z","title":"Measuring nominal scale agreement among many raters.Psychological bulletin, 76(5):378, 1971","venue":null,"work_id":null,"year":1971},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.585205Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:6a5b0f55c6066a5416251c6647fb5e023dc225bb8898ebba26e8e3b58e907626","observation_id":"77e29966-9376-4093-bbbd-8e9c2dc6338c","resolution":{"observed_at":"2026-08-06T15:12:30.585205Z","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":"2026-08-06T15:12:31.227110Z","title":"Linevul: A transformer-based line-level vulnerability prediction","venue":null,"work_id":"397dab83-b8d7-44d7-bd00-acc537e713de","year":2022},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.589441Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:db588dff4c256fecd2dcc585de05828d9d675ca04bb7ac618f583b58d4b34e55","observation_id":"4ea0d7d6-f379-420b-964a-eb6a888a3950","resolution":{"observed_at":"2026-08-06T15:12:31.239604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.207936Z","title":"Gadelha, Felipe R","venue":null,"work_id":"560bd381-f506-48b6-8362-f16a0b68d6b5","year":2018},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.593276Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:f5fb371aad7b057f591a23fde002e109d96f371ee6bb3a380adad430c57f7a55","observation_id":"7e8d7cfc-d9a3-401b-aff6-86861d850083","resolution":{"observed_at":"2026-08-06T15:12:31.213440Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.03850","last_updated":"2022-03-08T04:48:07Z","snapshot_observed_at":"2026-08-12T15:04:55.722793Z","submitted_at":"2022-03-08T04:48:07Z","title":"UniXcoder: Unified Cross-Modal Pre-training for Code Representation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.03850","snapshot_observed_at":"2026-08-06T15:12:30.598534Z","title":"Unixcoder: Unified cross-modal pre-training for code representation.arXiv preprint arXiv:2203.03850, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.598534Z"},"links":{"cited_paper":"/paper/2203.03850","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:6dd64445f12ae96e3f853ff12f1e2eedcf3b341482f3676783c72bab3f37fce8","observation_id":"9e32ce2a-dd48-4ccf-85f8-c1fe1ba83ccb","resolution":{"observed_at":"2026-08-06T15:12:30.598534Z","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":"2026-08-06T15:12:31.191852Z","title":"Graphcodebert: Pre-training code representations with data flow, 2021","venue":null,"work_id":"bcf75fa7-a81f-4f91-a632-121418c8c8d3","year":2021},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.602826Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:4e960398bd0a3bb377eec7304b4feaa32b3055dae3595761062fc88587b4bf9d","observation_id":"379ed821-e680-4bae-8d15-e0cfbd2033ce","resolution":{"observed_at":"2026-08-06T15:12:31.198560Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-08-13T15:58:13.809876Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T15:12:30.607136Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.607136Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:020ceeb41cacd22f07bc033f5673ecaedebf42fb248a1faea795ce068df00d7e","observation_id":"24b16ffa-4834-4e6a-8c7f-808e8d89224f","resolution":{"observed_at":"2026-08-06T15:12:30.607136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.12424","last_updated":"2022-05-25T00:56:43Z","snapshot_observed_at":"2026-08-13T15:37:40.713975Z","submitted_at":"2022-05-25T00:56:43Z","title":"VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection","version":1},"cited_work":{"arxiv_id":"2205.12424","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.12424","snapshot_observed_at":"2026-08-06T15:12:30.849425Z","title":"VulBERTa: Simplified Source Code Pre-Training for Vulnerability Detection","venue":"cs.CR","work_id":"d8db412e-d6e6-42d2-8e98-5fbecb28b647","year":2022},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.611299Z"},"links":{"cited_paper":"/paper/2205.12424","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:6a632f29a46d045c83e82b8201faa6ae92facc33d073a6e25f037bc864c561da","observation_id":"32633968-5148-443b-b674-c45ec1fe37cc","resolution":{"observed_at":"2026-08-06T15:12:30.854031Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.175334Z","title":"Large language models for code: Security hardening and adversarial testing","venue":null,"work_id":"7aa47112-f1c2-44e6-8f7b-e30d206b8da2","year":2023},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.615880Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:2a833bc959df0bf70a0bcf7bd2cba6935a528025d8749ef086028ee36b310fa6","observation_id":"812d41f9-1194-425a-9cb4-e332c8941441","resolution":{"observed_at":"2026-08-06T15:12:31.180366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-11T08:20:29.798517Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-06T15:12:30.619674Z","title":"Lora: Low-rank adaptation of large language models.arXiv preprint arXiv:2106.09685, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.619674Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:43c4040ae141f4335c6679ec06d24aec042444c7621e31ae02ed1efc83b8f72d","observation_id":"4e4a0155-e5ff-4cf4-afa1-0e745040c3d4","resolution":{"observed_at":"2026-08-06T15:12:30.619674Z","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":"2026-08-06T15:12:30.623533Z","title":"The measurement of observer agreement for categorical data.biometrics, pages 159–174, 1977","venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.623533Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:f2983e6c43f55edbe855f1b159157420c1dee4908342a956638992d985b07b7d","observation_id":"829c32ca-f362-47b2-aea5-b79420eb1e8a","resolution":{"observed_at":"2026-08-06T15:12:30.623533Z","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":"2026-08-06T15:12:31.151450Z","title":"Vulner- ability detection with fine-grained interpretations","venue":null,"work_id":"e166c71c-b3e2-4570-a71f-d73c4f6f0b6c","year":2021},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.627870Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:847af14c33f07440365ed9ffa5b15e2f9dddc04a209a6cceb0a57bd7e8e0e485","observation_id":"fe03c785-969d-48ef-b8d8-12c6b4435978","resolution":{"observed_at":"2026-08-06T15:12:31.156265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.133170Z","title":"Sysevr: A framework for using deep learning to detect software vulnerabilities.IEEE Transactions on Dependable and Secure Computing, 19(4):2244–2258, 2021","venue":null,"work_id":"7e7f7623-6c00-428d-94e1-74fa286f17b8","year":2021},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.635435Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:198cd031a5cb7b60980202f38a8532726d8cd53d5c3b5d365c7d32a54f3486d1","observation_id":"f7bd34e5-bf60-4270-873e-d45b9ee9345e","resolution":{"observed_at":"2026-08-06T15:12:31.137826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.01681","last_updated":"2018-01-05T09:37:18Z","snapshot_observed_at":"2026-08-08T20:03:35.088916Z","submitted_at":"2018-01-05T09:37:18Z","title":"VulDeePecker: A Deep Learning-Based System for Vulnerability Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.01681","snapshot_observed_at":"2026-08-06T15:12:30.644161Z","title":"Vuldeep- ecker: A deep learning-based system for vulnerability detection.arXiv preprint arXiv:1801.01681, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.644161Z"},"links":{"cited_paper":"/paper/1801.01681","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:4a386fc9967003e56757197c059dd0af8a1470ef07530bdd99d304047a11d31c","observation_id":"74590598-385f-4249-83b7-74e7668fadec","resolution":{"observed_at":"2026-08-06T15:12:30.644161Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14719","last_updated":"2025-03-21T13:29:30Z","snapshot_observed_at":"2026-08-14T13:13:33.458508Z","submitted_at":"2024-04-23T03:48:18Z","title":"Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection","version":2},"cited_work":{"arxiv_id":"2404.14719","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.14719","snapshot_observed_at":"2026-08-06T15:12:30.806683Z","title":"Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection","venue":"cs.CR","work_id":"ad592e28-f5b8-46ec-9586-6bb020e5c6ec","year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.648187Z"},"links":{"cited_paper":"/paper/2404.14719","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:aa782c4e3a58fb9f4bf7d94c61b6c3631d4b2fa3f62f4cc3ed128729785f05e8","observation_id":"9e5d4a06-fc14-46f0-90f9-acef2b21df06","resolution":{"observed_at":"2026-08-06T15:12:30.811115Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2102.04664","last_updated":"2021-03-16T08:28:37Z","snapshot_observed_at":"2026-07-06T10:39:42.676631Z","submitted_at":"2021-02-09T06:16:25Z","title":"CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.04664","snapshot_observed_at":"2026-08-06T15:12:30.652023Z","title":"Codexglue: A ma- chine learning benchmark dataset for code understand- ing and generation.arXiv preprint arXiv:2102.04664, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.652023Z"},"links":{"cited_paper":"/paper/2102.04664","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:32844295376bb9ce0db879bb50e4dc06b4ed420f91b551fb0a5638aaf9698d84","observation_id":"0796e58c-c8c2-4506-b521-b9c73bdbf99d","resolution":{"observed_at":"2026-08-06T15:12:30.652023Z","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":"2026-08-06T15:12:31.120486Z","title":"Regvd: Revis- iting graph neural networks for vulnerability detection","venue":null,"work_id":"f57691e3-b1a7-4535-89bd-d47aed51b2e4","year":2022},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.655722Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:e3d2391631800c22cc434ed0e49705d28f08fb403b5d3a37d9eb790e1da87c64","observation_id":"c9e45761-1d00-46e9-9771-f04161597cf3","resolution":{"observed_at":"2026-08-06T15:12:31.124813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.109357Z","title":"Uncovering the limits of machine learning for automatic vulnerability detec- tion","venue":null,"work_id":"8e25a088-50ca-4033-a495-af8bb71eff57","year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.659350Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:a8de42ca31925aaaaaf78712c59c42d85034cff283b93036ec8982dd73d3b9d5","observation_id":"93ce6421-4f82-432a-986a-1ff1ae39f7fc","resolution":{"observed_at":"2026-08-06T15:12:31.113239Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.097470Z","title":"Automated vulnerability detection in source code using deep representation learning","venue":null,"work_id":"0c92055b-73d5-48cf-9343-908db9b8eee5","year":2018},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.663055Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:0e85851037db4ea1a24894a8a9d1637977da3adc5d359fdcea98cb95421d273e","observation_id":"5e6e074e-4187-41ee-9bb3-fdfca6eca9e0","resolution":{"observed_at":"2026-08-06T15:12:31.102367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.083833Z","title":"Reveal.Transgender Studies Quar- terly, 1(1-2):176–177, 2014","venue":null,"work_id":"aa8272c4-cd04-4590-8b8a-f0fb10053828","year":2014},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.666847Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:43757cf0478324785c2ca38bd961900a27505810212db00e435e30a60026bc8e","observation_id":"225d877f-b53b-4a91-8b94-d69df4341f3c","resolution":{"observed_at":"2026-08-06T15:12:31.087539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.070422Z","title":"Vulsim: Leveraging similarity of multi-dimensional neighbor embeddings for vulnerability detection","venue":null,"work_id":"d88903f3-769d-464e-8121-bf1f06ca8410","year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.670623Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:bfe9b5f739c41891c4b226ef1d175d7eefff95e6fcb12d1e70d8df2ba48c4a74","observation_id":"2e46db60-ca45-4215-aadc-3fc317986681","resolution":{"observed_at":"2026-08-06T15:12:31.075129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.056455Z","title":"Number of Common Vul- nerabilities and Exposures (CVE) reported worldwide from 1999 to 2024, 2024","venue":null,"work_id":"67749161-84a1-421a-ace0-640ea98700bb","year":1999},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.674464Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:201c9e582783d5ff8df800fc1f4035ab527930d7dedbb307a32998350d076b03","observation_id":"4e54aca4-d131-4921-9ac4-3568bf292b03","resolution":{"observed_at":"2026-08-06T15:12:31.060914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.16771","last_updated":"2023-12-28T01:36:38Z","snapshot_observed_at":"2026-08-13T04:53:09.443285Z","submitted_at":"2023-12-28T01:36:38Z","title":"Scale-Aware Crowd Count Network with Annotation Error Correction","version":1},"cited_work":{"arxiv_id":"2312.16771","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.16771","snapshot_observed_at":"2026-08-06T15:12:30.775662Z","title":"Scale-Aware Crowd Count Network with Annotation Error Correction","venue":"cs.CV","work_id":"f028aeeb-8a79-4218-8f22-8c107799d4e0","year":2023},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.678609Z"},"links":{"cited_paper":"/paper/2312.16771","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:18a81429046d4e7cf3e5c6e88a36ee72be0547924ba936c274bb3416e7d880ee","observation_id":"8ced7b13-2cff-46ea-b01a-0808b0a7899d","resolution":{"observed_at":"2026-08-06T15:12:30.781696Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.042941Z","title":"An empirical study of deep learning models for vulnerability detection","venue":null,"work_id":"5c5b77c4-5842-4d74-a0b5-0b2e3397e723","year":2023},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.682952Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:3dcbcdeadbb4949523b5d6a8e35862f1981f1dc24dff13dc4254de9db73a7812","observation_id":"e0af94b0-81a1-4d29-b1dd-82fd48f3cca2","resolution":{"observed_at":"2026-08-06T15:12:31.047398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.029418Z","title":"Cordeiro","venue":null,"work_id":"702f9f9d-bc1a-43c1-aeef-2d9291b3f4ba","year":2025},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.687253Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:91c0ebf9469bcc4a0fc34befd1d5723569347977324c032079a84f3608a8a8a1","observation_id":"d99cac54-d1cd-44da-947b-5b011a6ffec9","resolution":{"observed_at":"2026-08-06T15:12:31.033630Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.016119Z","title":"Combining graph- based learning with automated data collection for code vulnerability detection.IEEE Transactions on Informa- tion Forensics and Security, 2020","venue":null,"work_id":"940e3be9-9cf4-40a4-8d89-fdc4f70ccd89","year":2020},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.691192Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:b0a73c85274ff474a6d6117eb724fe7e40721b78da8f518b808da10f2118529b","observation_id":"92888829-44e5-4aba-8d69-2360b0ac7b8c","resolution":{"observed_at":"2026-08-06T15:12:31.021043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:31.003223Z","title":"Reposvul: A repository- level high-quality vulnerability dataset","venue":null,"work_id":"962e54c8-9145-41b2-8f11-2d099cd54709","year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.695461Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:5bcacad5a709c7bbacc5dd67c3e198e54c2b7df5216d52aeea503dfcd874e879","observation_id":"834bcf52-085b-4d9a-92d3-6c137bf73b1b","resolution":{"observed_at":"2026-08-06T15:12:31.008479Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:30.989996Z","title":"Program slicing.IEEE Transactions on Software Engineering, SE-10(4):352–357, 1984","venue":null,"work_id":"565dcaeb-5f9a-4725-8d88-4c053b5cefa6","year":1984},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.699289Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:4f0141fd76d68d1edd39181a3e810bf61dd746287f009d39ab4696fe696dd08b","observation_id":"69dfb061-3457-45f5-9421-3974b7bb3c7d","resolution":{"observed_at":"2026-08-06T15:12:30.994647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:30.976499Z","title":"Ultravcs: Ultra-fine-grained variable- based code slicing for automated vulnerability detection","venue":null,"work_id":"35348b8d-e491-4643-8d9c-32c84f0482a7","year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.703247Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:c5d203a053db063615608ad8dbc707ade685c88961c51308fcefeb4a35cf2120","observation_id":"9abd1d41-505e-445c-990a-2e45d4695c02","resolution":{"observed_at":"2026-08-06T15:12:30.980947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:30.963039Z","title":"MVP: Detecting vulnera- bilities using Patch-Enhanced vulnerability signatures","venue":null,"work_id":"b6168f47-1691-402c-94c4-482ed179c121","year":2020},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.708387Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:eb5775406e3d4935a7baf7c94ef39692642ff28f2998afb86357e5ea9af01217","observation_id":"a7346ef6-a2e7-4f1b-823e-0091daf83445","resolution":{"observed_at":"2026-08-06T15:12:30.967149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:30.949851Z","title":"Modeling and discovering vulnerabilities with code property graphs","venue":null,"work_id":"8093943a-2ab5-4bcb-bac2-c9a3d7a80375","year":2014},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.715662Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:50479d9ac2efdecb9ab2635791979bf3facd6635c7bdffb711980d30bb2f98df","observation_id":"3f8cce22-cdb5-4862-a3c2-48c8de3cd36d","resolution":{"observed_at":"2026-08-06T15:12:30.954286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05892","last_updated":"2024-06-09T19:18:05Z","snapshot_observed_at":"2026-08-12T23:46:52.416458Z","submitted_at":"2024-06-09T19:18:05Z","title":"Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05892","snapshot_observed_at":"2026-08-06T15:12:30.720089Z","title":"Yang, Huanhuan Tian, Hongru Ye, Ruben Martins, and Claire Le Goues","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.720089Z"},"links":{"cited_paper":"/paper/2406.05892","citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:dd99a2071c1815dbe069ec8f09d38332cc6c0d80b8cffd9e6cdad6be8546f34c","observation_id":"a5996101-9886-48be-9ba0-d4114f7abe23","resolution":{"observed_at":"2026-08-06T15:12:30.720089Z","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":"2026-08-06T15:12:30.936919Z","title":"Cpvd: Cross project vulnerability detection based on graph attention network and domain adaptation.IEEE Transactions on Software Engineering, 2023","venue":null,"work_id":"56a83f46-d682-4463-8fbe-8b245a137656","year":2023},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.724921Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:81268a881a59d73e137c499594d0ed775ca60fbd449de5db07c0612c7a022423","observation_id":"55483406-fad2-4a42-afa8-8ab7c037b6da","resolution":{"observed_at":"2026-08-06T15:12:30.941176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-06T15:12:30.924192Z","title":"queries\": Sequence of CPGQL queries to detect vulnerability Expected JSON Output Format: {","venue":null,"work_id":"d358c8f1-6fdc-4706-9126-a6a69cbcbe70","year":2019},"citing_paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T15:12:30.728545Z"},"links":{"citing_paper":"/paper/2507.16585"},"observation_digest":"sha256:2950747ad941004654704463fa14b3474965828cbaa56746dbc14b6fe3d0186d","observation_id":"b1702fb5-f4ab-4a47-9ee0-3960f5e3c95e","resolution":{"observed_at":"2026-08-06T15:12:30.929139Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.16585","last_updated":"2025-07-22T13:36:33Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-14T07:41:35.865253Z","submitted_at":"2025-07-22T13:36:33Z","title":"LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models"},"reference_resolution":{"displayed":40,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":11,"verified_exact":2,"verified_fuzzy":26},"total_outbound_references":40},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 2 inbound Pith citation observations for arXiv:2507.16585."}