{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OOFTZJTXQAIQEBQ22MAZDFRCFX","short_pith_number":"pith:OOFTZJTX","canonical_record":{"source":{"id":"2509.15848","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-19T10:31:59Z","cross_cats_sorted":[],"title_canon_sha256":"47732b9b9ee72aa9e2f3bcab2dc832f31a410056be03347e280a6318f95e209c","abstract_canon_sha256":"3bff9501e42c17e1529e2e7b3df18fbb4b15520775e87187bcb8d9b67f101372"},"schema_version":"1.0"},"canonical_sha256":"738b3ca677801102061ad3019196222de4b8ca28caa4f1b20587d1e99c05b2c5","source":{"kind":"arxiv","id":"2509.15848","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.15848","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"arxiv_version","alias_value":"2509.15848v2","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.15848","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"pith_short_12","alias_value":"OOFTZJTXQAIQ","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"pith_short_16","alias_value":"OOFTZJTXQAIQEBQ2","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"pith_short_8","alias_value":"OOFTZJTX","created_at":"2026-05-28T01:04:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OOFTZJTXQAIQEBQ22MAZDFRCFX","target":"record","payload":{"canonical_record":{"source":{"id":"2509.15848","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-19T10:31:59Z","cross_cats_sorted":[],"title_canon_sha256":"47732b9b9ee72aa9e2f3bcab2dc832f31a410056be03347e280a6318f95e209c","abstract_canon_sha256":"3bff9501e42c17e1529e2e7b3df18fbb4b15520775e87187bcb8d9b67f101372"},"schema_version":"1.0"},"canonical_sha256":"738b3ca677801102061ad3019196222de4b8ca28caa4f1b20587d1e99c05b2c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:30.555551Z","signature_b64":"iuarPYOEGcO/lNd/r8e2VGRWkddKHHcnUePiFB1ALSk6TLM2kN+B2bsoPEc1G4SQSxJa7D9bwUe3I7erqY0sBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"738b3ca677801102061ad3019196222de4b8ca28caa4f1b20587d1e99c05b2c5","last_reissued_at":"2026-05-28T01:04:30.554641Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:30.554641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.15848","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-28T01:04:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hQ6MrB4vokchZ2dfIma3K20KR9oJqghy3d+6P5hCsJsnZly0Rl0nACaAAqMPIr/X9kB/3vKE15pZ8mY6pk2WBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:07:43.841749Z"},"content_sha256":"9ef8967cd388c31ccc9eef858678ee62986676bccb554e6fb3603cb7c2f2264e","schema_version":"1.0","event_id":"sha256:9ef8967cd388c31ccc9eef858678ee62986676bccb554e6fb3603cb7c2f2264e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OOFTZJTXQAIQEBQ22MAZDFRCFX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Comparative Study of Rule-Based and Data-Driven Approaches in Industrial Monitoring","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Giovanni De Gasperis, Sante Dino Facchini","submitted_at":"2025-09-19T10:31:59Z","abstract_excerpt":"Industrial monitoring systems, especially when deployed in Industry 4.0 environments, are experiencing a shift in paradigm from traditional rule-based architectures to data-driven approaches leveraging machine learning and artificial intelligence. This study presents a comparison between these two methodologies, analyzing their respective strengths, limitations, and application scenarios, and proposes a basic framework to evaluate their key properties. Rule-based systems offer high interpretability, deterministic behavior, and ease of implementation in stable environments, making them ideal fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.15848","kind":"arxiv","version":2},"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/2509.15848/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":"2026-05-28T01:04:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XPWh7jFIOrGsiejQwK/d5EcGnErSW22MuUXH0nN0jHgzgWPAwrk+wYlqO0Pft+9C3XVIxHwt27oHP7O8s6W4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T05:07:43.842467Z"},"content_sha256":"1ef2626375525ba9c191ba006a7e85bc82fec1ba7cd6637ea8b1ef895ae7985e","schema_version":"1.0","event_id":"sha256:1ef2626375525ba9c191ba006a7e85bc82fec1ba7cd6637ea8b1ef895ae7985e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX/bundle.json","state_url":"https://pith.science/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX/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":"2026-05-31T05:07:43Z","links":{"resolver":"https://pith.science/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX","bundle":"https://pith.science/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX/bundle.json","state":"https://pith.science/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OOFTZJTXQAIQEBQ22MAZDFRCFX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OOFTZJTXQAIQEBQ22MAZDFRCFX","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":"3bff9501e42c17e1529e2e7b3df18fbb4b15520775e87187bcb8d9b67f101372","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-19T10:31:59Z","title_canon_sha256":"47732b9b9ee72aa9e2f3bcab2dc832f31a410056be03347e280a6318f95e209c"},"schema_version":"1.0","source":{"id":"2509.15848","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.15848","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"arxiv_version","alias_value":"2509.15848v2","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.15848","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"pith_short_12","alias_value":"OOFTZJTXQAIQ","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"pith_short_16","alias_value":"OOFTZJTXQAIQEBQ2","created_at":"2026-05-28T01:04:30Z"},{"alias_kind":"pith_short_8","alias_value":"OOFTZJTX","created_at":"2026-05-28T01:04:30Z"}],"graph_snapshots":[{"event_id":"sha256:1ef2626375525ba9c191ba006a7e85bc82fec1ba7cd6637ea8b1ef895ae7985e","target":"graph","created_at":"2026-05-28T01:04:30Z","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/2509.15848/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Industrial monitoring systems, especially when deployed in Industry 4.0 environments, are experiencing a shift in paradigm from traditional rule-based architectures to data-driven approaches leveraging machine learning and artificial intelligence. This study presents a comparison between these two methodologies, analyzing their respective strengths, limitations, and application scenarios, and proposes a basic framework to evaluate their key properties. Rule-based systems offer high interpretability, deterministic behavior, and ease of implementation in stable environments, making them ideal fo","authors_text":"Giovanni De Gasperis, Sante Dino Facchini","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-19T10:31:59Z","title":"A Comparative Study of Rule-Based and Data-Driven Approaches in Industrial Monitoring"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.15848","kind":"arxiv","version":2},"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":"sha256:9ef8967cd388c31ccc9eef858678ee62986676bccb554e6fb3603cb7c2f2264e","target":"record","created_at":"2026-05-28T01:04:30Z","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":"3bff9501e42c17e1529e2e7b3df18fbb4b15520775e87187bcb8d9b67f101372","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-09-19T10:31:59Z","title_canon_sha256":"47732b9b9ee72aa9e2f3bcab2dc832f31a410056be03347e280a6318f95e209c"},"schema_version":"1.0","source":{"id":"2509.15848","kind":"arxiv","version":2}},"canonical_sha256":"738b3ca677801102061ad3019196222de4b8ca28caa4f1b20587d1e99c05b2c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"738b3ca677801102061ad3019196222de4b8ca28caa4f1b20587d1e99c05b2c5","first_computed_at":"2026-05-28T01:04:30.554641Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:30.554641Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iuarPYOEGcO/lNd/r8e2VGRWkddKHHcnUePiFB1ALSk6TLM2kN+B2bsoPEc1G4SQSxJa7D9bwUe3I7erqY0sBw==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:30.555551Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.15848","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ef8967cd388c31ccc9eef858678ee62986676bccb554e6fb3603cb7c2f2264e","sha256:1ef2626375525ba9c191ba006a7e85bc82fec1ba7cd6637ea8b1ef895ae7985e"],"state_sha256":"1e43e45091dabc2247c994d488b5fb2f540673ca214317c4214cfc70db985163"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Y9h2VtiUthtT8SNuOTA/JtO9wVK5oiC0DHIZDCLp+BJCMWukoUu4E2ZwR4zDpzs0W0P5gQ9gyk6ZVm5CvjUiDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T05:07:43.845943Z","bundle_sha256":"da482f9a4d975d366f36174da72ef4fc64b0a38add91c1388b810b5686ef6c1c"}}