{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:H52GBLPRFMRKUCRXGYJOHJ4UCK","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":"fc5b43406d4770483d098983b0d8b7c0d1f491b3e033a2ac0da672edd9e60275","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T16:57:40Z","title_canon_sha256":"eb88f9af7ed9951da896dd2321a1096bb739e506fcf9b6b8be51069b833f7539"},"schema_version":"1.0","source":{"id":"2606.28266","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.28266","created_at":"2026-06-29T01:15:10Z"},{"alias_kind":"arxiv_version","alias_value":"2606.28266v1","created_at":"2026-06-29T01:15:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.28266","created_at":"2026-06-29T01:15:10Z"},{"alias_kind":"pith_short_12","alias_value":"H52GBLPRFMRK","created_at":"2026-06-29T01:15:10Z"},{"alias_kind":"pith_short_16","alias_value":"H52GBLPRFMRKUCRX","created_at":"2026-06-29T01:15:10Z"},{"alias_kind":"pith_short_8","alias_value":"H52GBLPR","created_at":"2026-06-29T01:15:10Z"}],"graph_snapshots":[{"event_id":"sha256:12ad948470344638359fdb9d39c96fd1b620428d1a00f5a64dc56ccc9093b205","target":"graph","created_at":"2026-06-29T01:15:10Z","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/2606.28266/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Remote Sensing Image Change Captioning (RSICC) aims to describe changes between bi-temporal remote sensing images and holds significant research and application value. However, most existing methods rely on conventional deep learning architectures, and the limited model capacity constrains performance. Although large-model post-training techniques have achieved great success in general domains, their direct transfer to RSICC remains challenging due to data scarcity and the need for fine-grained change understanding. To address this, we propose RSICCLLM, the first post-training framework for la","authors_text":"Chuanguang Yang, Miaoyu Wang, Shuo Ye, Yelin Wang, Yongjun Xu, Yong Xu, Zhulin An, Zijia Song, Zitong Yu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T16:57:40Z","title":"RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.28266","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:bdcd0539ab1e264e172e1f27d9e2b9e42fcdc7f162b8ade9c0a6f83edfeb6cfa","target":"record","created_at":"2026-06-29T01:15:10Z","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":"fc5b43406d4770483d098983b0d8b7c0d1f491b3e033a2ac0da672edd9e60275","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-26T16:57:40Z","title_canon_sha256":"eb88f9af7ed9951da896dd2321a1096bb739e506fcf9b6b8be51069b833f7539"},"schema_version":"1.0","source":{"id":"2606.28266","kind":"arxiv","version":1}},"canonical_sha256":"3f7460adf12b22aa0a373612e3a79412a88d5b4801555851981dadb8b7a85a95","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3f7460adf12b22aa0a373612e3a79412a88d5b4801555851981dadb8b7a85a95","first_computed_at":"2026-06-29T01:15:10.858776Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-29T01:15:10.858776Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3XBcZGOCYbsIE6M99357+QB5GE/vUIMqMPZXREf4DAXPyCO49XNAfBxsuseLvrAEvbp0d2w8JELeBydli0nvAg==","signature_status":"signed_v1","signed_at":"2026-06-29T01:15:10.859196Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.28266","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bdcd0539ab1e264e172e1f27d9e2b9e42fcdc7f162b8ade9c0a6f83edfeb6cfa","sha256:12ad948470344638359fdb9d39c96fd1b620428d1a00f5a64dc56ccc9093b205"],"state_sha256":"17b52e326110d34297458c1e785894c3949c762481821992f43443eed34abb71"}