{"as_of":"2026-08-09T19:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0a91b9721b0bb21bcc1204b0090f954e0b00f52ef54572b229517945b884e073","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T04:53:04.033865Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.09179/citation-record","integrity":"/paper/2607.09179/integrity","json":"/paper/2607.09179/citation-record.json","paper":"/paper/2607.09179"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Drebin: Effective and explainable detection of android malware in your pocket","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:2c3ee1e6d125cf76670669818b83afb2316cb5af6e93250e391670ed380fd16b","observation_id":"f592ccf1-5349-42b4-8155-f9f97201240e","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Adversarial examples for malware detection,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:4a727d352165a43e07d43b7ee0250f34f903fdafd28f4e461a9a8852d266384f","observation_id":"62127b95-df96-4bdb-8c13-47bf057a070e","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:bf729c922e4cf3136d2c886fb0a5b27028edc31b766b9923abb6476341a585d8","observation_id":"3acfabec-e251-4686-9fbc-8c58aa2a4973","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Msdroid: Identifying malicious snippets for android malware detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:cc4fb071cd4af6453fb54a687ece1c22a86ae31c2475648f89a841f30ee090e9","observation_id":"555f800c-f334-4208-a67a-35c46d7ac30c","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"CADE: Detecting and explaining concept drift samples for security applications,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:366b946f2427e876265ec2c1ba40e6e2d87e011dd1417bc1e4a91b89c2472b69","observation_id":"4e1b56d6-41ff-4258-ba4a-1a198d2a94d2","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Continuous learning for android malware detection,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:5edbcb90fdb3af9f45c4a7eae9e21581b73b8c3516dea97c60d4543d845d665c","observation_id":"1a67b3c3-e60b-429b-874f-b364708ffec1","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.05098","last_updated":"2026-06-22T03:24:07Z","snapshot_observed_at":"2026-08-09T10:31:38.563158Z","submitted_at":"2025-02-07T17:17:42Z","title":"TIF: Learning Temporal Invariance in Android Malware Detectors","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.05098","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Learn- ing temporal invariance in android malware detectors,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2502.05098","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:fe2c9dce30e5d0160ede48050328e1c88e75bb179d5ba22523057a8f1173cd69","observation_id":"40e76744-ae70-431b-ab4e-c901dcaa808c","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Finer: Enhancing state-of-the- art classifiers with feature attribution to facilitate security analysis,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:efb6637a765adfefa14b7dbeb86bf94da6ad06069e09d02a6a7730366f4b461f","observation_id":"5e40a656-20de-4ce7-befa-771ea5342df1","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Llms cannot reliably identify and reason about security vulnerabilities (yet?): A comprehensive evaluation, framework, and benchmarks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:0a46fd6128ed7b30e19dc9af7fe25a038d2437edb2c2c5ad2a4f0c7de804c795","observation_id":"df3bec71-f4c7-4c1a-bcdb-09cbcce2db3b","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16185","last_updated":"2025-06-07T17:03:11Z","snapshot_observed_at":"2026-08-04T22:35:18.426928Z","submitted_at":"2024-01-29T14:32:27Z","title":"LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16185","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Llm4vuln: A unified evaluation framework for decoupling and enhanc- ing llms’ vulnerability reasoning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2401.16185","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:dd38948d65faa2234223af5caa6fe2c30e050ce8ed0474f4d65d957c2569a7b9","observation_id":"990f544c-761a-4e1b-9d79-f3d688417d30","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Beyond Classification: Evaluating LLMs for Fine-Grained Automatic Malware Behavior Auditing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:940bd3c0da10ecdf11480f60ac92db30fc03d478fef85947dff80810b57900c7","observation_id":"86875aca-6e97-4dcd-b0fd-c2cb7ab1eb17","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Ex- ploring large language models for semantic analysis and categorization of android malware,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:e98953ac39d635b0c25d4cdc465145d718c4b96820827c502e55f9cab206f705","observation_id":"08c5dd3d-6ed4-47ce-bdd2-8052ecc35c0b","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Lamd: Context- driven android malware detection and classification with llms,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:e2bcab14a38fb392b6d17df653942109f77a18f1fc919d52f4e38f1602611a02","observation_id":"e270db9d-6c83-4a53-8416-dae7b4b137ef","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.03374","last_updated":"2021-07-14T17:16:02Z","snapshot_observed_at":"2026-08-08T11:58:24.516369Z","submitted_at":"2021-07-07T17:41:24Z","title":"Evaluating Large Language Models Trained on Code","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.03374","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Evaluating large language models trained on code,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2107.03374","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:5eb39f979e7dc8a1f6593cc84bf788f234725930d4e94af7cab5c815da1690e3","observation_id":"e66413d3-f975-467c-93d1-fa54ae625530","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Making frontier cybersecurity capabilities available to de- fenders with claude code security,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:beb713db640c160c172a6d51aa054b81093223a3ba39fa4d0adea492a52d4527","observation_id":"b6f2d17e-7074-4c21-93f9-f19e4cf935f7","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Cyber safety – codex — openai developers,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:7723fc869923a6f3684837dac3b1f64836637a8ba3e8410b53e76aee73c9a6c0","observation_id":"d475730e-b46c-4c95-89ba-38e12f16be7c","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Assessing claude mythos preview’s cybersecurity capabilities,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:cda2aa4c01202133099aa10e240d96689c9fda16039af785daa964dc4a00bfd1","observation_id":"ab30cfc9-f119-425d-93d9-0d90a0d35eb0","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.24171","last_updated":"2026-05-22T19:44:51Z","snapshot_observed_at":"2026-07-06T23:34:18.555542Z","submitted_at":"2026-05-22T19:44:51Z","title":"PromptAudit: Auditing Prompt Sensitivity in LLM-Based Vulnerability Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.24171","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Promp- taudit: Auditing prompt sensitivity in llm-based vulnerability detection,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2605.24171","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:c4de15a71d22cea6063599b56475df0c27ab206e9a51b1936577c801e714ba5d","observation_id":"2b204860-8afc-4a51-8ce7-0564d1feec7e","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Evaluating llms for obfuscation detection and classification in android apps,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:f93c18067838ee593d678b90e7c1672189891309450a1e7858a4b7c6594eb639","observation_id":"89b981e5-0d9f-4030-b8bc-1f2236ef1681","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Swe-agent: Agent-computer interfaces enable automated soft- ware engineering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:9faedd2f65905268dba3857584615535aac000ee1efd9ed1abd1e7dea06dbeeb","observation_id":"67adf8cf-3136-41b6-9389-5c2bc5161aa1","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Openhands: An open platform for ai software developers as generalist agents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:7c2d0aa221b5770981539f5add06055b051dc4408db0635f9f9b3db6fa386ad7","observation_id":"3aac1616-46f5-4773-90e5-a2457fb31d99","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Learning to locate and describe vulnerabilities,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:85502c4a9bf35d71d0c11914a2d94cc4e026d4f711472e82d0c79cf3e583dae2","observation_id":"1e3420cd-a6a9-46a6-bfec-bc3e85d77567","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.15097","last_updated":"2026-07-18T06:02:16Z","snapshot_observed_at":"2026-08-03T08:31:35.622918Z","submitted_at":"2026-05-14T17:16:11Z","title":"Veritas: Grounding LLM Agents for Reliable Vulnerability Reasoning over Stripped Binaries","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.15097","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Veritas: A semantically grounded agentic framework for memory corruption vulnerability detection in binaries,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2605.15097","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:1265050cd4f5411ce446229235cc9a35a204bf3adb2c2d1b569b5971009f438f","observation_id":"c1fccca1-acd5-48d4-80a1-fca9751e726b","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Appcon- text: Differentiating malicious and benign mobile app behaviors using context,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:0fca2fa55c710e75218573d28f965f71bf5e35692b838ef27f3df9bb7f2e3ae5","observation_id":"29167f6a-8079-4532-93a0-ee6682fb6cbe","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Semantics-aware android mal- ware classification using weighted contextual api dependency graphs,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:2f2fc6329d2d7d2fd9e2eda974e13323e6aed11c0b5e86eb4b1edf53e5c5f283","observation_id":"766ac2c1-78eb-41d1-8457-77de37a6ecd0","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Call graph soundness in android static analysis,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:cd29ab34645aa712e88c2bdfa169a54a2e7d2d55402b651971391471b152e05d","observation_id":"95f84167-bfd7-4903-9a7c-251c4013c36e","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Beyond the TESSERACT: Trustworthy Dataset Curation for Sound Evaluations of Android Malware Classifiers,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:48bfd8e398c3d4553fef6affe3a61d99ce51f5d6c4118e970405fadd9944af0e","observation_id":"d3651d4b-b66f-4eba-aeb2-f523c787e71a","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"LangGraph: Build resilient language agents as graphs,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:71866c9331cfe878db64c801ae6eaee51f46d3c1ac2518a88f3a1011086fc924","observation_id":"d8f0b4c0-fa2e-4e9a-bb82-e6441405e997","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Androguard: Reverse engineering and pentesting for android applications,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:c90ca3136690700f2e097474c83ca50e4270ded89656ee98a6c9cd2e6e552691","observation_id":"99a7a1d9-0e9e-49ad-94cc-2a80072df987","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Billion-scale similarity search with gpus,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:817dcf482a4d4562b8d0e71ce319612ab3748a7f540160c36e589c09fd834c36","observation_id":"79980cbd-c593-4c8e-84c4-dc9b087ee283","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Deepseek-v3 technical report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:3d966a87e4dd9da8c7c3c7e26af466f5820efaf71297bc15450359cadadd33f1","observation_id":"932cb206-ca88-4774-8dec-27ca54aecb21","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Identifying adversary tactics and techniques in malware binaries with an llm agent,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:f31138828f5ebae287238024e021c508497e6ca1a368c3ea62af39d4574d5b75","observation_id":"cc891f57-1850-47c6-a781-f42a9801dfa4","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Detecting hallucinations in large language models using semantic entropy,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:8329b30f3b18e95c1a183325df383e9fc6ff709ee3447db547d1ed425bdc70ec","observation_id":"40c1d6b9-b6d4-4da0-8383-b64ef4ef68b1","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01359","last_updated":"2025-04-09T12:32:21Z","snapshot_observed_at":"2026-07-06T17:24:16.787573Z","submitted_at":"2024-02-02T12:27:32Z","title":"TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01359","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Tesseract: Eliminating experimental bias in malware classification across space and time (extended version),","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2402.01359","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:d4b97538e2eeb8d233a8c926fc4860752668d87b2bf149497692d9e2fdbdb413","observation_id":"07323350-3fad-4dbf-b631-fed781e935a7","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"{TESSERACT}: Eliminating experimental bias in malware classifi- cation across space and time,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:25979e2288a8c8a5d9eb66c548b175d75b16c83b8dad26995acf291eacabf3da","observation_id":"f3afa469-3e75-443c-bf3b-4ca39f0b411b","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"On the reliability and stability of selective methods in malware classification tasks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:7dc3eb194fd347f3cf6071455c2cc8f2a09afaaf2119d30ddd7b3258b7c76cac","observation_id":"4d609c11-e9d4-46ad-97a3-8a4078b32f45","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.00297","last_updated":"2026-04-30T23:50:24Z","snapshot_observed_at":"2026-07-06T23:13:42.661364Z","submitted_at":"2026-04-30T23:50:24Z","title":"Trident: Improving Malware Detection with LLMs and Behavioral Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.00297","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Trident: Improving malware detection with llms and behavioral features,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2605.00297","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:748412aae7afbb0ee510198105bf6fd9b751119530eaef2e2be754c5953ebb44","observation_id":"2ab1ec51-26f7-450e-a28c-ad9ca6cbdec0","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Sense and sensitivity: Examining the influence of semantic recall on long context code understanding,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:35a763b84be22aac62ffb8ee1dbd3a29be8b0c1eef8018c931f4ffa12d335974","observation_id":"f4e87c49-9ae0-4267-bc03-521a8cbfd8e3","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Repoaudit: An au- tonomous llm-agent for repository-level code auditing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:19163d20f7e3bbc8f47fee199f1a648f3283009a717ff910e4e81ee2c9419210","observation_id":"a1710cf2-4e1c-4386-bdd2-e1c6795aa4c3","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Locagent: Graph-guided llm agents for code localization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:6e34758443b8354f171e94876062ad0e353038bd8b623a2dd50cf6168f6823f3","observation_id":"eac3d035-f40c-43ea-909e-871de5d918cf","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"{PATCHAGENT}: A practical program repair agent mimicking human expertise,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:867b98328f0fcfcd4b8dce7e5c9c9a33f02c4a5dab97eea998369ec20087ef9e","observation_id":"cf59524a-e1d5-4444-84c3-1ea202aa407c","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.02747","last_updated":"2025-06-10T18:19:40Z","snapshot_observed_at":"2026-08-09T13:31:17.635942Z","submitted_at":"2025-02-04T22:30:02Z","title":"PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.02747","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Patchpilot: A cost-efficient software engineering agent with early attempts on formal verification,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2502.02747","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:f79856819d08215ef85f83585682c00077d422a35bef7eb19728c0938cf33300","observation_id":"1fe1483f-f272-4b4a-a789-2d04992c63f8","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Masdroid: A multi- agent system for enhancing the analysis of android malware,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:3dfcae5eac7459656e7663b4693e5bd960e2022af690a53d713b93ea9056defd","observation_id":"e36880a2-6808-4440-9a16-f6211ccae74b","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.25264","last_updated":"2026-04-28T06:21:49Z","snapshot_observed_at":"2026-07-06T23:11:11.827339Z","submitted_at":"2026-04-28T06:21:49Z","title":"MARD: A Multi-Agent Framework for Robust Android Malware Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.25264","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Mard: A multi-agent framework for robust android malware detection,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2604.25264","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:b5ddbec62eac56b364c5de8b9feac64bfc7cfe199bfc6b35ae61c8fe615cc061","observation_id":"87c20f2d-c791-4425-8558-95a7ec425261","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Androsem: Semantics-guided, llm-based interpretable static android malware detec- tion,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:a108c7192de8fde6ed1424aa9e5f5eb742103993f03bc40f2619efd3b7964451","observation_id":"aa15e4c0-dc26-4eb2-822a-2eb86bece337","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","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":"2026-07-13T04:53:04.033865Z","title":"Equipping agents for the real world with agent skills,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:4976895116d4d80f0094c42f37642405e723f81f16492ee5ddfd379480034865","observation_id":"fc392d66-16b0-48f9-9ab8-94dfa5afc661","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2602.12670","last_updated":"2026-03-13T07:33:01Z","snapshot_observed_at":"2026-07-06T22:45:44.135338Z","submitted_at":"2026-02-13T07:06:06Z","title":"SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2602.12670","snapshot_observed_at":"2026-07-13T04:53:04.033865Z","title":"Skillsbench: Benchmarking how well agent skills work across diverse tasks,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-13T04:53:04.033865Z"},"links":{"cited_paper":"/paper/2602.12670","citing_paper":"/paper/2607.09179"},"observation_digest":"sha256:8a39b5ea409449f8813a83d2fb20b68afeec9a379d18f40c833cab16bf5c6c96","observation_id":"3688c775-b2c7-4e0f-acbe-d6bebb2605c2","resolution":{"observed_at":"2026-07-13T04:53:04.033865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.09179","last_updated":"2026-07-10T08:13:19Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-07T17:56:23.162890Z","submitted_at":"2026-07-10T08:13:19Z","title":"Malaika: Understanding Malware through Tri-Grounded Agentic Reasoning"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":47,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":47},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.09179."}