{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:AGW7JCS4ROCMPZW7LLFZHAS5YP","short_pith_number":"pith:AGW7JCS4","schema_version":"1.0","canonical_sha256":"01adf48a5c8b84c7e6df5acb93825dc3ff2c2a836db06d05ec8bdf49cfd3e3c7","source":{"kind":"arxiv","id":"2505.03721","version":1},"attestation_state":"computed","paper":{"title":"Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.LG","authors_text":"Dian Chen, Dong Sam Ha, Jin-Hee Cho, Zelin Wan","submitted_at":"2025-05-06T17:49:06Z","abstract_excerpt":"Solar sensor-based monitoring systems have become a crucial agricultural innovation, advancing farm management and animal welfare through integrating sensor technology, Internet-of-Things, and edge and cloud computing. However, the resilience of these systems to cyber-attacks and their adaptability to dynamic and constrained energy supplies remain largely unexplored. To address these challenges, we propose a sustainable smart farm network designed to maintain high-quality animal monitoring under various cyber and adversarial threats, as well as fluctuating energy conditions. Our approach utili"},"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":"2505.03721","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-06T17:49:06Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"4f331bc4ad44b5ce0e9028a0247e36327861f46d29e5815a9256f7e15d982c3b","abstract_canon_sha256":"7bf3acba18d115aea9070fdf3685d9fb0d6bad39c332dda60851e698b9f8c042"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:21.050397Z","signature_b64":"S0GAf5/pO9brLpEpR/uJoBk1/oOKco84zYudHReAYT3aTdc2qV6eOQ8yf2okTVWjG5RGrD0hVoCx/fkcElHwBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"01adf48a5c8b84c7e6df5acb93825dc3ff2c2a836db06d05ec8bdf49cfd3e3c7","last_reissued_at":"2026-07-05T10:59:21.049901Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:21.049901Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.LG","authors_text":"Dian Chen, Dong Sam Ha, Jin-Hee Cho, Zelin Wan","submitted_at":"2025-05-06T17:49:06Z","abstract_excerpt":"Solar sensor-based monitoring systems have become a crucial agricultural innovation, advancing farm management and animal welfare through integrating sensor technology, Internet-of-Things, and edge and cloud computing. However, the resilience of these systems to cyber-attacks and their adaptability to dynamic and constrained energy supplies remain largely unexplored. To address these challenges, we propose a sustainable smart farm network designed to maintain high-quality animal monitoring under various cyber and adversarial threats, as well as fluctuating energy conditions. Our approach utili"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03721","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/2505.03721/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":"2505.03721","created_at":"2026-07-05T10:59:21.049960+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.03721v1","created_at":"2026-07-05T10:59:21.049960+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03721","created_at":"2026-07-05T10:59:21.049960+00:00"},{"alias_kind":"pith_short_12","alias_value":"AGW7JCS4ROCM","created_at":"2026-07-05T10:59:21.049960+00:00"},{"alias_kind":"pith_short_16","alias_value":"AGW7JCS4ROCMPZW7","created_at":"2026-07-05T10:59:21.049960+00:00"},{"alias_kind":"pith_short_8","alias_value":"AGW7JCS4","created_at":"2026-07-05T10:59:21.049960+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/AGW7JCS4ROCMPZW7LLFZHAS5YP","json":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP.json","graph_json":"https://pith.science/api/pith-number/AGW7JCS4ROCMPZW7LLFZHAS5YP/graph.json","events_json":"https://pith.science/api/pith-number/AGW7JCS4ROCMPZW7LLFZHAS5YP/events.json","paper":"https://pith.science/paper/AGW7JCS4"},"agent_actions":{"view_html":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP","download_json":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP.json","view_paper":"https://pith.science/paper/AGW7JCS4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.03721&json=true","fetch_graph":"https://pith.science/api/pith-number/AGW7JCS4ROCMPZW7LLFZHAS5YP/graph.json","fetch_events":"https://pith.science/api/pith-number/AGW7JCS4ROCMPZW7LLFZHAS5YP/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP/action/storage_attestation","attest_author":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP/action/author_attestation","sign_citation":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP/action/citation_signature","submit_replication":"https://pith.science/pith/AGW7JCS4ROCMPZW7LLFZHAS5YP/action/replication_record"}},"created_at":"2026-07-05T10:59:21.049960+00:00","updated_at":"2026-07-05T10:59:21.049960+00:00"}