{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4VOOPDLJ57N5QFJNMOM46UHHZN","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":"080daa9d078991ccde57ab355e2997e5181291f192cafc1059efd3e5212a5a1f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-18T10:34:28Z","title_canon_sha256":"ce30aa42b46bc8dfb9d6ed7b48cada75616b248f4eb609d38420223c0fec4954"},"schema_version":"1.0","source":{"id":"2406.12479","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.12479","created_at":"2026-07-05T08:33:47Z"},{"alias_kind":"arxiv_version","alias_value":"2406.12479v1","created_at":"2026-07-05T08:33:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.12479","created_at":"2026-07-05T08:33:47Z"},{"alias_kind":"pith_short_12","alias_value":"4VOOPDLJ57N5","created_at":"2026-07-05T08:33:47Z"},{"alias_kind":"pith_short_16","alias_value":"4VOOPDLJ57N5QFJN","created_at":"2026-07-05T08:33:47Z"},{"alias_kind":"pith_short_8","alias_value":"4VOOPDLJ","created_at":"2026-07-05T08:33:47Z"}],"graph_snapshots":[{"event_id":"sha256:29992081660871557cdfad92b62ab1684173e0385c60adce5168cf09c2104506","target":"graph","created_at":"2026-07-05T08:33:47Z","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/2406.12479/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The remote sensing image intelligence understanding model is undergoing a new profound paradigm shift which has been promoted by multi-modal large language model (MLLM), i.e. from the paradigm learning a domain model (LaDM) shifts to paradigm learning a pre-trained general foundation model followed by an adaptive domain model (LaGD). Under the new LaGD paradigm, the old datasets, which have led to advances in RSI intelligence understanding in the last decade, are no longer suitable for fire-new tasks. We argued that a new dataset must be designed to lighten tasks with the following features: 1","authors_text":"Haifeng Li, Kaiqi Zou, Kewang Long, Ling Zhao, Linrui Xu, Qiujun Li, Wang Guo, Yuhan Wang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-18T10:34:28Z","title":"RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.12479","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:cd02a9561ef344f1b981ba3b8c0e33d1de3067091904a4f8135cdcccbf89d976","target":"record","created_at":"2026-07-05T08:33:47Z","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":"080daa9d078991ccde57ab355e2997e5181291f192cafc1059efd3e5212a5a1f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-06-18T10:34:28Z","title_canon_sha256":"ce30aa42b46bc8dfb9d6ed7b48cada75616b248f4eb609d38420223c0fec4954"},"schema_version":"1.0","source":{"id":"2406.12479","kind":"arxiv","version":1}},"canonical_sha256":"e55ce78d69efdbd8152d6399cf50e7cb6324d678c4db5f85fff058c1c7e87976","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e55ce78d69efdbd8152d6399cf50e7cb6324d678c4db5f85fff058c1c7e87976","first_computed_at":"2026-07-05T08:33:47.148937Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:33:47.148937Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JbpFcJwp71QlfnCNORpehY8PUxVnv+sW6FMzj7M8VUM1Yij0HbmgiUXA4E8AJBEPaXgKGC51F+qpNh0jM9qsDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:33:47.149431Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.12479","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd02a9561ef344f1b981ba3b8c0e33d1de3067091904a4f8135cdcccbf89d976","sha256:29992081660871557cdfad92b62ab1684173e0385c60adce5168cf09c2104506"],"state_sha256":"2a17ba0a904ef79728863ac75f3d8c33a681694d490af1fd3bc034aa9bf7007a"}