{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:WM2YRCBKKBRRMYVG3ZFFZQXDZ6","short_pith_number":"pith:WM2YRCBK","canonical_record":{"source":{"id":"2605.16454","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-14T13:40:11Z","cross_cats_sorted":["eess.SP","quant-ph"],"title_canon_sha256":"0cbe9762ee33d19a06f180474b55f2cb071d1a924039ce4f9c37382610f24e07","abstract_canon_sha256":"4135b637cfab7182e08fbdd6933c42d6b7922cffe8846814cc2599b1710c19e7"},"schema_version":"1.0"},"canonical_sha256":"b33588882a50631662a6de4a5cc2e3cfb010246eb370a3576daa9041532e00ae","source":{"kind":"arxiv","id":"2605.16454","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16454","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16454v1","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16454","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"WM2YRCBKKBRR","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"pith_short_16","alias_value":"WM2YRCBKKBRRMYVG","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"pith_short_8","alias_value":"WM2YRCBK","created_at":"2026-05-20T00:02:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:WM2YRCBKKBRRMYVG3ZFFZQXDZ6","target":"record","payload":{"canonical_record":{"source":{"id":"2605.16454","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-14T13:40:11Z","cross_cats_sorted":["eess.SP","quant-ph"],"title_canon_sha256":"0cbe9762ee33d19a06f180474b55f2cb071d1a924039ce4f9c37382610f24e07","abstract_canon_sha256":"4135b637cfab7182e08fbdd6933c42d6b7922cffe8846814cc2599b1710c19e7"},"schema_version":"1.0"},"canonical_sha256":"b33588882a50631662a6de4a5cc2e3cfb010246eb370a3576daa9041532e00ae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:02:22.934792Z","signature_b64":"70oqByRbfHR98JZEtd1NAZo3+xgyy4UHDUYYkVR3rYcbnaeAAeyDWgcE6d3se6k4qjnqaLPUwLrWzG82TG6CAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b33588882a50631662a6de4a5cc2e3cfb010246eb370a3576daa9041532e00ae","last_reissued_at":"2026-05-20T00:02:22.933933Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:02:22.933933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.16454","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":"2026-05-20T00:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9xdJNx3MHXcA6/dd//IXbs5PwfvSLszM0rS4qnHya69mUV9vM4YsmV1sxu09UlAqkX6wAwQPeelGKro2Oq4EDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:21:07.440581Z"},"content_sha256":"d42b6f95e5dd7caeaab9afeb1d8e6b3d563da4e546adf3a3866871d4b1b018b9","schema_version":"1.0","event_id":"sha256:d42b6f95e5dd7caeaab9afeb1d8e6b3d563da4e546adf3a3866871d4b1b018b9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:WM2YRCBKKBRRMYVG3ZFFZQXDZ6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"QuChaTeR: A Hybrid Quantum-Chaotic Temporal Framework for Earthquake Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP","quant-ph"],"primary_cat":"cs.LG","authors_text":"Emir Kaan \\\"Ozdemir","submitted_at":"2026-05-14T13:40:11Z","abstract_excerpt":"Seismic prediction remains challenging due to the highly nonlinear and chaotic dynamics of earthquake signals. While classical deep learning models such as LSTMs and CNNs capture local temporal features, and quantum models offer richer state representations, their integration with chaos-driven mechanisms is underexplored. We introduce QuChaTeR, a hybrid architecture that combines wavelet-based preprocessing, chaotic maps, and variational quantum circuits with recurrent structures to enhance temporal feature extraction. Implemented in PyTorch and PennyLane, QuChaTeR is benchmarked against class"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16454","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/2605.16454/integrity.json","findings":[],"available":true,"detectors_run":[{"name":"claim_evidence","ran_at":"2026-05-19T19:41:56.555469Z","status":"completed","version":"1.0.0","findings_count":0},{"name":"ai_meta_artifact","ran_at":"2026-05-19T19:34:36.588303Z","status":"skipped","version":"1.0.0","findings_count":0}],"snapshot_sha256":"ce40486a15463590bcfa7303b0da3f39741e8647638b533eef7e64e3501f64cb"},"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":"2026-05-20T00:02:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Mr3Hq2tgRSIpi6WGpUwktrkHiDnmHe6aT44iiOr2/66r5EyqTtztKz2GDXX+9D3Eptwvrxhzrr6HQv0LGZ7XAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:21:07.441019Z"},"content_sha256":"9a52a9dec24c1382d91cfedec0659a9debc0bcbe258ed3bac5009cdb034a5e61","schema_version":"1.0","event_id":"sha256:9a52a9dec24c1382d91cfedec0659a9debc0bcbe258ed3bac5009cdb034a5e61"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6/bundle.json","state_url":"https://pith.science/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6/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":"2026-06-04T06:21:07Z","links":{"resolver":"https://pith.science/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6","bundle":"https://pith.science/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6/bundle.json","state":"https://pith.science/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WM2YRCBKKBRRMYVG3ZFFZQXDZ6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WM2YRCBKKBRRMYVG3ZFFZQXDZ6","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":"4135b637cfab7182e08fbdd6933c42d6b7922cffe8846814cc2599b1710c19e7","cross_cats_sorted":["eess.SP","quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-14T13:40:11Z","title_canon_sha256":"0cbe9762ee33d19a06f180474b55f2cb071d1a924039ce4f9c37382610f24e07"},"schema_version":"1.0","source":{"id":"2605.16454","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.16454","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"arxiv_version","alias_value":"2605.16454v1","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.16454","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"pith_short_12","alias_value":"WM2YRCBKKBRR","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"pith_short_16","alias_value":"WM2YRCBKKBRRMYVG","created_at":"2026-05-20T00:02:22Z"},{"alias_kind":"pith_short_8","alias_value":"WM2YRCBK","created_at":"2026-05-20T00:02:22Z"}],"graph_snapshots":[{"event_id":"sha256:9a52a9dec24c1382d91cfedec0659a9debc0bcbe258ed3bac5009cdb034a5e61","target":"graph","created_at":"2026-05-20T00:02:22Z","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":[{"findings_count":0,"name":"claim_evidence","ran_at":"2026-05-19T19:41:56.555469Z","status":"completed","version":"1.0.0"},{"findings_count":0,"name":"ai_meta_artifact","ran_at":"2026-05-19T19:34:36.588303Z","status":"skipped","version":"1.0.0"}],"endpoint":"/pith/2605.16454/integrity.json","findings":[],"snapshot_sha256":"ce40486a15463590bcfa7303b0da3f39741e8647638b533eef7e64e3501f64cb","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Seismic prediction remains challenging due to the highly nonlinear and chaotic dynamics of earthquake signals. While classical deep learning models such as LSTMs and CNNs capture local temporal features, and quantum models offer richer state representations, their integration with chaos-driven mechanisms is underexplored. We introduce QuChaTeR, a hybrid architecture that combines wavelet-based preprocessing, chaotic maps, and variational quantum circuits with recurrent structures to enhance temporal feature extraction. Implemented in PyTorch and PennyLane, QuChaTeR is benchmarked against class","authors_text":"Emir Kaan \\\"Ozdemir","cross_cats":["eess.SP","quant-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-14T13:40:11Z","title":"QuChaTeR: A Hybrid Quantum-Chaotic Temporal Framework for Earthquake Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.16454","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:d42b6f95e5dd7caeaab9afeb1d8e6b3d563da4e546adf3a3866871d4b1b018b9","target":"record","created_at":"2026-05-20T00:02:22Z","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":"4135b637cfab7182e08fbdd6933c42d6b7922cffe8846814cc2599b1710c19e7","cross_cats_sorted":["eess.SP","quant-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-14T13:40:11Z","title_canon_sha256":"0cbe9762ee33d19a06f180474b55f2cb071d1a924039ce4f9c37382610f24e07"},"schema_version":"1.0","source":{"id":"2605.16454","kind":"arxiv","version":1}},"canonical_sha256":"b33588882a50631662a6de4a5cc2e3cfb010246eb370a3576daa9041532e00ae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b33588882a50631662a6de4a5cc2e3cfb010246eb370a3576daa9041532e00ae","first_computed_at":"2026-05-20T00:02:22.933933Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T00:02:22.933933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"70oqByRbfHR98JZEtd1NAZo3+xgyy4UHDUYYkVR3rYcbnaeAAeyDWgcE6d3se6k4qjnqaLPUwLrWzG82TG6CAg==","signature_status":"signed_v1","signed_at":"2026-05-20T00:02:22.934792Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.16454","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d42b6f95e5dd7caeaab9afeb1d8e6b3d563da4e546adf3a3866871d4b1b018b9","sha256:9a52a9dec24c1382d91cfedec0659a9debc0bcbe258ed3bac5009cdb034a5e61"],"state_sha256":"a6b596378381c5df9f84af1efe774bcc822c5d1dcc4451cc3034312ae13822c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q/aFGio83SvUU3ubyph3tyTPb67ZCitU6oO1c3znZOhE4zdiglLnIWbE0RZRNmggK5JLwlLX/7UIpP2sTiFNAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T06:21:07.443130Z","bundle_sha256":"2ff8e01cc15fd6252227d6618db5caec969ab7f9c431f011a6a5f68e84a60670"}}