{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2QXUQNH5N2H74CF2QE4CFO3PDH","short_pith_number":"pith:2QXUQNH5","canonical_record":{"source":{"id":"2403.17181","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-03-25T20:47:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"102d74e4236041cf513b2b33d0f680308e51e675e4268ce65d5f2f64b4337b09","abstract_canon_sha256":"2c5292325f38ce45ca96dcc158c1348b444fa9128137900a9036a5c9dcc2b5c2"},"schema_version":"1.0"},"canonical_sha256":"d42f4834fd6e8ffe08ba813822bb6f19ee15a3c05f5388adc13e62716b181f8d","source":{"kind":"arxiv","id":"2403.17181","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17181","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17181v1","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17181","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"pith_short_12","alias_value":"2QXUQNH5N2H7","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"pith_short_16","alias_value":"2QXUQNH5N2H74CF2","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"pith_short_8","alias_value":"2QXUQNH5","created_at":"2026-07-05T08:00:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2QXUQNH5N2H74CF2QE4CFO3PDH","target":"record","payload":{"canonical_record":{"source":{"id":"2403.17181","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-03-25T20:47:10Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"102d74e4236041cf513b2b33d0f680308e51e675e4268ce65d5f2f64b4337b09","abstract_canon_sha256":"2c5292325f38ce45ca96dcc158c1348b444fa9128137900a9036a5c9dcc2b5c2"},"schema_version":"1.0"},"canonical_sha256":"d42f4834fd6e8ffe08ba813822bb6f19ee15a3c05f5388adc13e62716b181f8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:00:46.295188Z","signature_b64":"l8OR8K2mEDZW4stuV29zou3O0DqD5WZYkpl1T+Gs3knvspAikRW0eSZM280ieHNoM6L9wODu5jmE8aQvrjvdBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d42f4834fd6e8ffe08ba813822bb6f19ee15a3c05f5388adc13e62716b181f8d","last_reissued_at":"2026-07-05T08:00:46.294723Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:00:46.294723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.17181","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:00:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FHvAaws6K8vrWNezIIEBxKp8bRQt7ibETelRjpSk5fvnLhtADet1jAeLgLtf7W23Hv16WIziXD+DS3NQoeMdAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:31:10.926292Z"},"content_sha256":"ae47bbd861625ac945aa3ba388bfe51249160e2ddae2806e634ebacfec1e12b6","schema_version":"1.0","event_id":"sha256:ae47bbd861625ac945aa3ba388bfe51249160e2ddae2806e634ebacfec1e12b6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2QXUQNH5N2H74CF2QE4CFO3PDH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Abdallah Shami, George K. Karagiannidis, Sulaiman Aburakhia","submitted_at":"2024-03-25T20:47:10Z","abstract_excerpt":"Recent advancements in sensing, measurement, and computing technologies have significantly expanded the potential for signal-based applications, leveraging the synergy between signal processing and Machine Learning (ML) to improve both performance and reliability. This fusion represents a critical point in the evolution of signal-based systems, highlighting the need to bridge the existing knowledge gap between these two interdisciplinary fields. Despite many attempts in the existing literature to bridge this gap, most are limited to specific applications and focus mainly on feature extraction,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17181","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/2403.17181/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:00:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n6efWdG0zKSY4nWoo2GNdr885AWlaYYrUDEGXvsrATsIg9eBJTBunwyKaCtOuIWRJdP5hdGna5qKqeOCE7B/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:31:10.926931Z"},"content_sha256":"1e5bbe8f068110733585578d14573e1c3daf4bccee725b7899b90ba96bd67485","schema_version":"1.0","event_id":"sha256:1e5bbe8f068110733585578d14573e1c3daf4bccee725b7899b90ba96bd67485"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QXUQNH5N2H74CF2QE4CFO3PDH/bundle.json","state_url":"https://pith.science/pith/2QXUQNH5N2H74CF2QE4CFO3PDH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QXUQNH5N2H74CF2QE4CFO3PDH/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-07T18:31:10Z","links":{"resolver":"https://pith.science/pith/2QXUQNH5N2H74CF2QE4CFO3PDH","bundle":"https://pith.science/pith/2QXUQNH5N2H74CF2QE4CFO3PDH/bundle.json","state":"https://pith.science/pith/2QXUQNH5N2H74CF2QE4CFO3PDH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QXUQNH5N2H74CF2QE4CFO3PDH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2QXUQNH5N2H74CF2QE4CFO3PDH","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2c5292325f38ce45ca96dcc158c1348b444fa9128137900a9036a5c9dcc2b5c2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-03-25T20:47:10Z","title_canon_sha256":"102d74e4236041cf513b2b33d0f680308e51e675e4268ce65d5f2f64b4337b09"},"schema_version":"1.0","source":{"id":"2403.17181","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.17181","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"arxiv_version","alias_value":"2403.17181v1","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.17181","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"pith_short_12","alias_value":"2QXUQNH5N2H7","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"pith_short_16","alias_value":"2QXUQNH5N2H74CF2","created_at":"2026-07-05T08:00:46Z"},{"alias_kind":"pith_short_8","alias_value":"2QXUQNH5","created_at":"2026-07-05T08:00:46Z"}],"graph_snapshots":[{"event_id":"sha256:1e5bbe8f068110733585578d14573e1c3daf4bccee725b7899b90ba96bd67485","target":"graph","created_at":"2026-07-05T08:00:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2403.17181/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in sensing, measurement, and computing technologies have significantly expanded the potential for signal-based applications, leveraging the synergy between signal processing and Machine Learning (ML) to improve both performance and reliability. This fusion represents a critical point in the evolution of signal-based systems, highlighting the need to bridge the existing knowledge gap between these two interdisciplinary fields. Despite many attempts in the existing literature to bridge this gap, most are limited to specific applications and focus mainly on feature extraction,","authors_text":"Abdallah Shami, George K. Karagiannidis, Sulaiman Aburakhia","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-03-25T20:47:10Z","title":"On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.17181","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:ae47bbd861625ac945aa3ba388bfe51249160e2ddae2806e634ebacfec1e12b6","target":"record","created_at":"2026-07-05T08:00:46Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2c5292325f38ce45ca96dcc158c1348b444fa9128137900a9036a5c9dcc2b5c2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2024-03-25T20:47:10Z","title_canon_sha256":"102d74e4236041cf513b2b33d0f680308e51e675e4268ce65d5f2f64b4337b09"},"schema_version":"1.0","source":{"id":"2403.17181","kind":"arxiv","version":1}},"canonical_sha256":"d42f4834fd6e8ffe08ba813822bb6f19ee15a3c05f5388adc13e62716b181f8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d42f4834fd6e8ffe08ba813822bb6f19ee15a3c05f5388adc13e62716b181f8d","first_computed_at":"2026-07-05T08:00:46.294723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:00:46.294723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l8OR8K2mEDZW4stuV29zou3O0DqD5WZYkpl1T+Gs3knvspAikRW0eSZM280ieHNoM6L9wODu5jmE8aQvrjvdBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:00:46.295188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.17181","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ae47bbd861625ac945aa3ba388bfe51249160e2ddae2806e634ebacfec1e12b6","sha256:1e5bbe8f068110733585578d14573e1c3daf4bccee725b7899b90ba96bd67485"],"state_sha256":"3a95b482cac709582d7a4699bee2b065092e7d88ae9236b76eeaada16f342535"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"raLRogeMhkp972L5KhkDZsehXyzzxAnmWHPTBvNlpS0EJ33Ooisjbe3/68e3nS/hOdwPED0Kim3NMOluS3yhDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:31:10.949113Z","bundle_sha256":"11d28dda284074a2cc01ab0e243a2ce8aa8873dc8ca38470769e8d8a125e7827"}}