{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:WPK2NRHF6UJKGYLGCGU2MUIIWS","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":"172a0bcc9e7bad144253930d5ec646833f885e727e3095c08d0ba3136fb37cee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-28T14:41:38Z","title_canon_sha256":"510552794e021104e5ddf8620dcfb9a11e16fcf61ab9f2ea810235ffd580bab8"},"schema_version":"1.0","source":{"id":"2607.25788","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.25788","created_at":"2026-07-29T01:26:02Z"},{"alias_kind":"arxiv_version","alias_value":"2607.25788v1","created_at":"2026-07-29T01:26:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25788","created_at":"2026-07-29T01:26:02Z"},{"alias_kind":"pith_short_12","alias_value":"WPK2NRHF6UJK","created_at":"2026-07-29T01:26:02Z"},{"alias_kind":"pith_short_16","alias_value":"WPK2NRHF6UJKGYLG","created_at":"2026-07-29T01:26:02Z"},{"alias_kind":"pith_short_8","alias_value":"WPK2NRHF","created_at":"2026-07-29T01:26:02Z"}],"graph_snapshots":[{"event_id":"sha256:624c5b9838aaa76cb4be38de0302256882d088f3a715789dfe44fff5c480c216","target":"graph","created_at":"2026-07-29T01:26:02Z","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/2607.25788/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing drone-view geo-localization (DVGL) methods are mainly developed under a static training paradigm, where models are optimized for fixed environments with all training data available in advance. However, this paradigm is difficult to extend to real-world deployment, where drones may encounter diverse environments and require multiple environment-specific models, resulting in additional storage and model-selection costs. Directly adapting a single model to new environments also risks distorting previously learned cross-view embedding geometry and causing forgetting. To address these chal","authors_text":"Guoqi Li, Hai-Jun Rong, Tao Zhang, Xianfeng Nie, Xiangbao Zhang, Zhao-Xu Yang, Zhongwei Chen","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-28T14:41:38Z","title":"GeoMFD: Continual Drone-View Geo-Localization with Geometry-Aware Adapter and Margin-Field Distillation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25788","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":"sha256:71754c356c6d53f13a846ec6539ddb76f4b6991750b7e3402feed696acc67d86","target":"record","created_at":"2026-07-29T01:26:02Z","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":"172a0bcc9e7bad144253930d5ec646833f885e727e3095c08d0ba3136fb37cee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-28T14:41:38Z","title_canon_sha256":"510552794e021104e5ddf8620dcfb9a11e16fcf61ab9f2ea810235ffd580bab8"},"schema_version":"1.0","source":{"id":"2607.25788","kind":"arxiv","version":1}},"canonical_sha256":"b3d5a6c4e5f512a3616611a9a65108b4979bb75b61a53b0aa762d9e4b822caa7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3d5a6c4e5f512a3616611a9a65108b4979bb75b61a53b0aa762d9e4b822caa7","first_computed_at":"2026-07-29T01:26:02.768929Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-29T01:26:02.768929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rBPXEu0Noge5V1BEUy43lvSq5czzjOlkn4o6jnR5Bd7DSUGGpByuJKiGthGKiwdDtkcW2q0M69vWeHba23W5Bw==","signature_status":"signed_v1","signed_at":"2026-07-29T01:26:02.769810Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.25788","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71754c356c6d53f13a846ec6539ddb76f4b6991750b7e3402feed696acc67d86","sha256:624c5b9838aaa76cb4be38de0302256882d088f3a715789dfe44fff5c480c216"],"state_sha256":"c0d8e38fc88afcd8710365e444dc6afc065f7e2d188563cebcbc87ee5d778809"}