{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TJ6XKV3YU7BECIJ32K6H2DIXTB","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":"e85ad66e01d93e2fa4058596af5148f1add80262c148e05c5cb876251fca3e6d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T06:15:08Z","title_canon_sha256":"6cb1a531be13a3a2bcb26ef3d145ed053bf0ab1a64cd9a55db8af2f8775aed69"},"schema_version":"1.0","source":{"id":"2412.03897","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.03897","created_at":"2026-07-05T09:44:56Z"},{"alias_kind":"arxiv_version","alias_value":"2412.03897v1","created_at":"2026-07-05T09:44:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.03897","created_at":"2026-07-05T09:44:56Z"},{"alias_kind":"pith_short_12","alias_value":"TJ6XKV3YU7BE","created_at":"2026-07-05T09:44:56Z"},{"alias_kind":"pith_short_16","alias_value":"TJ6XKV3YU7BECIJ3","created_at":"2026-07-05T09:44:56Z"},{"alias_kind":"pith_short_8","alias_value":"TJ6XKV3Y","created_at":"2026-07-05T09:44:56Z"}],"graph_snapshots":[{"event_id":"sha256:ddbc2e369cddd9cbda5388e62931910fa69d7cc633ba81c522be18ace12c8824","target":"graph","created_at":"2026-07-05T09:44:56Z","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/2412.03897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-scene image classification aims to transfer prior knowledge of ground materials to annotate regions with different distributions and reduce hand-crafted cost in the field of remote sensing. However, existing approaches focus on single-source domain generalization to unseen target domains, and are easily confused by large real-world domain shifts due to the limited training information and insufficient diversity modeling capacity. To address this gap, we propose a novel multi-source collaborative domain generalization framework (MS-CDG) based on homogeneity and heterogeneity characteristi","authors_text":"Bing Zhang, Ce Zhang, Jocelyn Chanussot, Lianru Gao, Michael K. Ng, Zhiqiang Zeng, Zhu Han","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T06:15:08Z","title":"Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.03897","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":"sha256:5a73d07847fac48af252f5369c7b6ebafa7fe860b287de29ab56cd15ab419419","target":"record","created_at":"2026-07-05T09:44:56Z","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":"e85ad66e01d93e2fa4058596af5148f1add80262c148e05c5cb876251fca3e6d","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-05T06:15:08Z","title_canon_sha256":"6cb1a531be13a3a2bcb26ef3d145ed053bf0ab1a64cd9a55db8af2f8775aed69"},"schema_version":"1.0","source":{"id":"2412.03897","kind":"arxiv","version":1}},"canonical_sha256":"9a7d755778a7c241213bd2bc7d0d17986cbc98412067ea948e47fe51e3264c73","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a7d755778a7c241213bd2bc7d0d17986cbc98412067ea948e47fe51e3264c73","first_computed_at":"2026-07-05T09:44:56.052667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:56.052667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xlGShtlq0M5tzS0H1v1hqf7hfRVW/1mufGmwAHR/4i7Isxf4yWNiTL0Mr7BMNE+AFhWtg2sBkJb5Gy1CfcPlAw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:56.053142Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.03897","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a73d07847fac48af252f5369c7b6ebafa7fe860b287de29ab56cd15ab419419","sha256:ddbc2e369cddd9cbda5388e62931910fa69d7cc633ba81c522be18ace12c8824"],"state_sha256":"7dc462ebce13c3c5f7bdb86797f83f5a8a5c6f4b5e4b5513667853a921b4c3ba"}