{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:UONWOICNEJJ5WXOJGB2QY3NB3C","short_pith_number":"pith:UONWOICN","schema_version":"1.0","canonical_sha256":"a39b67204d2253db5dc930750c6da1d8950b3a750103027de0520bb7bccfa0c0","source":{"kind":"arxiv","id":"2507.19662","version":1},"attestation_state":"computed","paper":{"title":"K-PACT: Kernel Planning for Adaptive Context Switching -- A Framework for Clustering, Placement, and Prefetching in Spectrum Sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Ali Akoglu, Chaitali Chakrabarti, H. Umut Suluhan, Jiahao Lin, Serhan Gener, Umit Ogras","submitted_at":"2025-07-25T20:24:09Z","abstract_excerpt":"Efficient wideband spectrum sensing requires rapid evaluation and re-evaluation of signal presence and type across multiple subchannels. These tasks involve multiple hypothesis testing, where each hypothesis is implemented as a decision tree workflow containing compute-intensive kernels, including FFT, matrix operations, and signal-specific analyses. Given dynamic nature of the spectrum environment, ability to quickly switch between hypotheses is essential for maintaining low-latency, high-throughput operation. This work assumes a coarse-grained reconfigurable architecture consisting of an arr"},"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":"2507.19662","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.ET","submitted_at":"2025-07-25T20:24:09Z","cross_cats_sorted":[],"title_canon_sha256":"fd2476cc695a7fcc43ee3824ccf3fae1bde273cae43ff1399380e5a430854f09","abstract_canon_sha256":"4b9a183191b96caa7731a588f80a3b3e783b09d57200c8ac567c9febbf710a52"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:11.789631Z","signature_b64":"CbtQRdILzqxRk2H/ffLcVUNNk4mlvvNO88UV+uzhIiPnixI8btV7noo+8PydtDN44PDnBeZWadE+3bQFyeprAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a39b67204d2253db5dc930750c6da1d8950b3a750103027de0520bb7bccfa0c0","last_reissued_at":"2026-07-05T11:44:11.789164Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:11.789164Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"K-PACT: Kernel Planning for Adaptive Context Switching -- A Framework for Clustering, Placement, and Prefetching in Spectrum Sensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.ET","authors_text":"Ali Akoglu, Chaitali Chakrabarti, H. Umut Suluhan, Jiahao Lin, Serhan Gener, Umit Ogras","submitted_at":"2025-07-25T20:24:09Z","abstract_excerpt":"Efficient wideband spectrum sensing requires rapid evaluation and re-evaluation of signal presence and type across multiple subchannels. These tasks involve multiple hypothesis testing, where each hypothesis is implemented as a decision tree workflow containing compute-intensive kernels, including FFT, matrix operations, and signal-specific analyses. Given dynamic nature of the spectrum environment, ability to quickly switch between hypotheses is essential for maintaining low-latency, high-throughput operation. This work assumes a coarse-grained reconfigurable architecture consisting of an arr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.19662","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/2507.19662/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":"2507.19662","created_at":"2026-07-05T11:44:11.789226+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.19662v1","created_at":"2026-07-05T11:44:11.789226+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.19662","created_at":"2026-07-05T11:44:11.789226+00:00"},{"alias_kind":"pith_short_12","alias_value":"UONWOICNEJJ5","created_at":"2026-07-05T11:44:11.789226+00:00"},{"alias_kind":"pith_short_16","alias_value":"UONWOICNEJJ5WXOJ","created_at":"2026-07-05T11:44:11.789226+00:00"},{"alias_kind":"pith_short_8","alias_value":"UONWOICN","created_at":"2026-07-05T11:44:11.789226+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/UONWOICNEJJ5WXOJGB2QY3NB3C","json":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C.json","graph_json":"https://pith.science/api/pith-number/UONWOICNEJJ5WXOJGB2QY3NB3C/graph.json","events_json":"https://pith.science/api/pith-number/UONWOICNEJJ5WXOJGB2QY3NB3C/events.json","paper":"https://pith.science/paper/UONWOICN"},"agent_actions":{"view_html":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C","download_json":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C.json","view_paper":"https://pith.science/paper/UONWOICN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.19662&json=true","fetch_graph":"https://pith.science/api/pith-number/UONWOICNEJJ5WXOJGB2QY3NB3C/graph.json","fetch_events":"https://pith.science/api/pith-number/UONWOICNEJJ5WXOJGB2QY3NB3C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C/action/storage_attestation","attest_author":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C/action/author_attestation","sign_citation":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C/action/citation_signature","submit_replication":"https://pith.science/pith/UONWOICNEJJ5WXOJGB2QY3NB3C/action/replication_record"}},"created_at":"2026-07-05T11:44:11.789226+00:00","updated_at":"2026-07-05T11:44:11.789226+00:00"}