{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FMQF54SGUUBOQGJXG7MKAUZ22P","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":"14f2a5e33ed381c5a1e2e8dd54a5df9629f8acd5f89f1a7c8fd4673119be00d2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-03T22:55:56Z","title_canon_sha256":"acb891fc65c89186ac54d8261d2462f34aafde36002fd2c0146dfa2fe2f35939"},"schema_version":"1.0","source":{"id":"2405.02512","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.02512","created_at":"2026-07-05T09:22:17Z"},{"alias_kind":"arxiv_version","alias_value":"2405.02512v2","created_at":"2026-07-05T09:22:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.02512","created_at":"2026-07-05T09:22:17Z"},{"alias_kind":"pith_short_12","alias_value":"FMQF54SGUUBO","created_at":"2026-07-05T09:22:17Z"},{"alias_kind":"pith_short_16","alias_value":"FMQF54SGUUBOQGJX","created_at":"2026-07-05T09:22:17Z"},{"alias_kind":"pith_short_8","alias_value":"FMQF54SG","created_at":"2026-07-05T09:22:17Z"}],"graph_snapshots":[{"event_id":"sha256:ee527ac8b4e3e01114564dd59a70dbae72de7c2642164abbf224fdbf4ed71e55","target":"graph","created_at":"2026-07-05T09:22:17Z","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/2405.02512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in foundation models have significantly impacted various fields, including natural language processing, computer vision, and multi-modal tasks. One area that stands to benefit greatly is Earth observation, where these models can efficiently process large-scale, unlabeled geospatial data. In this work we extend the SwinMAE model to integrate temporal information for satellite time-series data. The architecture employs a hierarchical 3D Masked Autoencoder (MAE) with Video Swin Transformer blocks to effectively capture multi-scale spatio-temporal dependencies in satellite imag","authors_text":"Jiawei Su, Luis M. Pazos-Out\\'on, Yohei Nakayama","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-03T22:55:56Z","title":"SatSwinMAE: Efficient Autoencoding for Multiscale Time-series Satellite Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.02512","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":"sha256:2b4cc30e0e67e5edbfc1d0bfe822e799a66420cff4409de401ba2cddb9db2c4e","target":"record","created_at":"2026-07-05T09:22:17Z","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":"14f2a5e33ed381c5a1e2e8dd54a5df9629f8acd5f89f1a7c8fd4673119be00d2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-05-03T22:55:56Z","title_canon_sha256":"acb891fc65c89186ac54d8261d2462f34aafde36002fd2c0146dfa2fe2f35939"},"schema_version":"1.0","source":{"id":"2405.02512","kind":"arxiv","version":2}},"canonical_sha256":"2b205ef246a502e8193737d8a0533ad3fc1c2d1ce7ec0cf58e29705299231248","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b205ef246a502e8193737d8a0533ad3fc1c2d1ce7ec0cf58e29705299231248","first_computed_at":"2026-07-05T09:22:17.812698Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:17.812698Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"94wpUorWQhMQYrUyNcGJRgoWo0hXu51HifWZja8B12OIaM+oLv4LInuUhFzsdu9gJ7xolBX5tnJLR8VTs600CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:17.813162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.02512","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b4cc30e0e67e5edbfc1d0bfe822e799a66420cff4409de401ba2cddb9db2c4e","sha256:ee527ac8b4e3e01114564dd59a70dbae72de7c2642164abbf224fdbf4ed71e55"],"state_sha256":"525c2d2c3a1b9cbb25e79e5f05a3544d62e7b14475d9e661cc72dc0ffcfc5e36"}