{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:FTEWUNSLOYUJDJBYBH6XGHHTXK","short_pith_number":"pith:FTEWUNSL","schema_version":"1.0","canonical_sha256":"2cc96a364b762891a43809fd731cf3ba8d19668321d6e5bd4937c2588e1e3266","source":{"kind":"arxiv","id":"2607.01095","version":1},"attestation_state":"computed","paper":{"title":"Automatic detection of solar filament oscillations I: Multi-scale spectral pipeline","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Guillem Castell\\'o, Jaume Terradas, Manuel Luna","submitted_at":"2026-07-01T15:48:58Z","abstract_excerpt":"Solar filament oscillations provide important diagnostics of prominence magnetic structure and stability, but their detection in long H\\alpha archives has traditionally relied on visual inspection, manually placed slits, and time--distance diagrams. We present an automatic pipeline for detecting spatially coherent filament oscillations in GONG H\\alpha image sequences. The method combines image preprocessing and coalignment, deep-learning-based filament detection and segmentation, multi-scale spatial averaging, Lomb--Scargle spectral analysis, convolutional-neural-network background estimation,"},"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":"2607.01095","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.SR","submitted_at":"2026-07-01T15:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"9d98c94472e57e76c6b7dacfa3f8c416826d3ba4f55273f93b84a18378fe62ec","abstract_canon_sha256":"87186a992544e2bae4591c6c048417d473d8ddf2668365d7eab53d2ab09e1b0b"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:28.910472Z","signature_b64":"5TvZL8f2PYmy/JMNxSkdU5CacAlnke9gwiBnn6bCYFX5RQpaTh58ly/g5XG5eSSslXPEhJgOQqA6OeTb36trDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2cc96a364b762891a43809fd731cf3ba8d19668321d6e5bd4937c2588e1e3266","last_reissued_at":"2026-07-02T01:18:28.910050Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:28.910050Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Automatic detection of solar filament oscillations I: Multi-scale spectral pipeline","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.SR","authors_text":"Guillem Castell\\'o, Jaume Terradas, Manuel Luna","submitted_at":"2026-07-01T15:48:58Z","abstract_excerpt":"Solar filament oscillations provide important diagnostics of prominence magnetic structure and stability, but their detection in long H\\alpha archives has traditionally relied on visual inspection, manually placed slits, and time--distance diagrams. We present an automatic pipeline for detecting spatially coherent filament oscillations in GONG H\\alpha image sequences. The method combines image preprocessing and coalignment, deep-learning-based filament detection and segmentation, multi-scale spatial averaging, Lomb--Scargle spectral analysis, convolutional-neural-network background estimation,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01095","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/2607.01095/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":"2607.01095","created_at":"2026-07-02T01:18:28.910132+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.01095v1","created_at":"2026-07-02T01:18:28.910132+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01095","created_at":"2026-07-02T01:18:28.910132+00:00"},{"alias_kind":"pith_short_12","alias_value":"FTEWUNSLOYUJ","created_at":"2026-07-02T01:18:28.910132+00:00"},{"alias_kind":"pith_short_16","alias_value":"FTEWUNSLOYUJDJBY","created_at":"2026-07-02T01:18:28.910132+00:00"},{"alias_kind":"pith_short_8","alias_value":"FTEWUNSL","created_at":"2026-07-02T01:18:28.910132+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/FTEWUNSLOYUJDJBYBH6XGHHTXK","json":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK.json","graph_json":"https://pith.science/api/pith-number/FTEWUNSLOYUJDJBYBH6XGHHTXK/graph.json","events_json":"https://pith.science/api/pith-number/FTEWUNSLOYUJDJBYBH6XGHHTXK/events.json","paper":"https://pith.science/paper/FTEWUNSL"},"agent_actions":{"view_html":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK","download_json":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK.json","view_paper":"https://pith.science/paper/FTEWUNSL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.01095&json=true","fetch_graph":"https://pith.science/api/pith-number/FTEWUNSLOYUJDJBYBH6XGHHTXK/graph.json","fetch_events":"https://pith.science/api/pith-number/FTEWUNSLOYUJDJBYBH6XGHHTXK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK/action/storage_attestation","attest_author":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK/action/author_attestation","sign_citation":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK/action/citation_signature","submit_replication":"https://pith.science/pith/FTEWUNSLOYUJDJBYBH6XGHHTXK/action/replication_record"}},"created_at":"2026-07-02T01:18:28.910132+00:00","updated_at":"2026-07-02T01:18:28.910132+00:00"}