{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:LIUNFSCLP73SLN3WONCVEXSQKG","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":"1c3690d86ffdf5017804ebba3fe1e49c921b2eb59d4f23a5316921a6064ad95d","cross_cats_sorted":["astro-ph.SR","cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T05:43:34Z","title_canon_sha256":"3792dc54a7f3f5c360b1cf6c9b0581731f4c9e95056dafa0e7e65c4ece9f177b"},"schema_version":"1.0","source":{"id":"2411.18070","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.18070","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"arxiv_version","alias_value":"2411.18070v1","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.18070","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_12","alias_value":"LIUNFSCLP73S","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_16","alias_value":"LIUNFSCLP73SLN3W","created_at":"2026-07-05T09:41:11Z"},{"alias_kind":"pith_short_8","alias_value":"LIUNFSCL","created_at":"2026-07-05T09:41:11Z"}],"graph_snapshots":[{"event_id":"sha256:dd95b33fd4991969105ef55c16f9c8af4d1b7ea573a14220e845351c5e190838","target":"graph","created_at":"2026-07-05T09:41:11Z","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/2411.18070/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate and reliable predictions of solar flares are essential due to their potentially significant impact on Earth and space-based infrastructure. Although deep learning models have shown notable predictive capabilities in this domain, current evaluations often focus on accuracy while neglecting interpretability and reliability--factors that are especially critical in operational settings. To address this gap, we propose a novel proximity-based framework for analyzing post hoc explanations to assess the interpretability of deep learning models for solar flare prediction. Our study compares t","authors_text":"Berkay Aydin, Chetraj Pandey, Temitope Adeyeha","cross_cats":["astro-ph.SR","cs.CV","stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T05:43:34Z","title":"Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.18070","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:fb2f4625615ac407a4a137daf0330f7b8d4d50004152d610d3e98d2d6b581a92","target":"record","created_at":"2026-07-05T09:41:11Z","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":"1c3690d86ffdf5017804ebba3fe1e49c921b2eb59d4f23a5316921a6064ad95d","cross_cats_sorted":["astro-ph.SR","cs.CV","stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-11-27T05:43:34Z","title_canon_sha256":"3792dc54a7f3f5c360b1cf6c9b0581731f4c9e95056dafa0e7e65c4ece9f177b"},"schema_version":"1.0","source":{"id":"2411.18070","kind":"arxiv","version":1}},"canonical_sha256":"5a28d2c84b7ff725b7767345525e5051b045e9ce47e2c91ca639794251cdc6cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5a28d2c84b7ff725b7767345525e5051b045e9ce47e2c91ca639794251cdc6cb","first_computed_at":"2026-07-05T09:41:11.306208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:41:11.306208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BXmr/nOJM4NK4ACP8kldeeIv+8VdphNu0vhjBiwCtw8mtJAggkmW1hdxI57xU8wCf7HUUGf0d9iqXgkXYaf9Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T09:41:11.306669Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.18070","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fb2f4625615ac407a4a137daf0330f7b8d4d50004152d610d3e98d2d6b581a92","sha256:dd95b33fd4991969105ef55c16f9c8af4d1b7ea573a14220e845351c5e190838"],"state_sha256":"89d3e243cb7e6147bc3bd61eb1c62c987ec7c2520f7c3f76a26c4bdc566400f4"}