{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QRJWGLQ4XRJH2MO7JFN4CDHY7W","short_pith_number":"pith:QRJWGLQ4","schema_version":"1.0","canonical_sha256":"8453632e1cbc527d31df495bc10cf8fdb196438f33bf7f7cd0c3717c31c2f9fe","source":{"kind":"arxiv","id":"2607.25568","version":1},"attestation_state":"computed","paper":{"title":"Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Adeela Bashir, The Anh Han, Zhao Song, Zia Ush Shamszaman","submitted_at":"2026-07-28T10:56:30Z","abstract_excerpt":"AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their long-term behaviour. However, existing evolutionary cybersecurity models have primarily focused on homogeneous interactions, providing limited understanding of how population structure influences cyber attack-defence dynamics. In this paper, we develop a mixed-role evolutionary game in which adaptive cyber agents can exhibit both offensive and defensive behaviours, and investigate its dynamics in well-mixed and stru"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.25568","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.GT","submitted_at":"2026-07-28T10:56:30Z","cross_cats_sorted":[],"title_canon_sha256":"db98e02ced60c43d1b60bf6b50dfa32ea4c5a3ed5a1fa56015e2bad7c7e6f7e1","abstract_canon_sha256":"c162466f80ee6706334c159f35a63a3d0e31de31b973d24efe6481dfbf6dba1f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:47.453752Z","signature_b64":"Z3jesXbyirWqZ8lYGltMYjw14ArtqFY/qJweEPcgdA7SmE9oh04OL9hHHIR/HS2rK8jWNm1vdBDsIj7LNLRNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8453632e1cbc527d31df495bc10cf8fdb196438f33bf7f7cd0c3717c31c2f9fe","last_reissued_at":"2026-07-29T01:25:47.452901Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:47.452901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Network Reciprocity Shapes Evolutionary Cybersecurity Dynamics","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Adeela Bashir, The Anh Han, Zhao Song, Zia Ush Shamszaman","submitted_at":"2026-07-28T10:56:30Z","abstract_excerpt":"AI-assisted cybersecurity systems are characterised by continuous adaptation between attackers and defenders, making evolutionary game theory a natural framework for studying their long-term behaviour. However, existing evolutionary cybersecurity models have primarily focused on homogeneous interactions, providing limited understanding of how population structure influences cyber attack-defence dynamics. In this paper, we develop a mixed-role evolutionary game in which adaptive cyber agents can exhibit both offensive and defensive behaviours, and investigate its dynamics in well-mixed and stru"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25568","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.25568/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.25568","created_at":"2026-07-29T01:25:47.453342+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.25568v1","created_at":"2026-07-29T01:25:47.453342+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25568","created_at":"2026-07-29T01:25:47.453342+00:00"},{"alias_kind":"pith_short_12","alias_value":"QRJWGLQ4XRJH","created_at":"2026-07-29T01:25:47.453342+00:00"},{"alias_kind":"pith_short_16","alias_value":"QRJWGLQ4XRJH2MO7","created_at":"2026-07-29T01:25:47.453342+00:00"},{"alias_kind":"pith_short_8","alias_value":"QRJWGLQ4","created_at":"2026-07-29T01:25:47.453342+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W","json":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W.json","graph_json":"https://pith.science/api/pith-number/QRJWGLQ4XRJH2MO7JFN4CDHY7W/graph.json","events_json":"https://pith.science/api/pith-number/QRJWGLQ4XRJH2MO7JFN4CDHY7W/events.json","paper":"https://pith.science/paper/QRJWGLQ4"},"agent_actions":{"view_html":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W","download_json":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W.json","view_paper":"https://pith.science/paper/QRJWGLQ4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.25568&json=true","fetch_graph":"https://pith.science/api/pith-number/QRJWGLQ4XRJH2MO7JFN4CDHY7W/graph.json","fetch_events":"https://pith.science/api/pith-number/QRJWGLQ4XRJH2MO7JFN4CDHY7W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W/action/storage_attestation","attest_author":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W/action/author_attestation","sign_citation":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W/action/citation_signature","submit_replication":"https://pith.science/pith/QRJWGLQ4XRJH2MO7JFN4CDHY7W/action/replication_record"}},"created_at":"2026-07-29T01:25:47.453342+00:00","updated_at":"2026-07-29T01:25:47.453342+00:00"}