{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:IIAFWVPS5T7K7TXT6UQUJALWKF","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":"3bf360a06c5cd1bbd6950ed470b766f006ff49275418b1adff08802d7531509f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T17:49:34Z","title_canon_sha256":"6d0414212e208ba3fe8c05601aa4661674d6aa0b4e090fa759ebe49e201d2d03"},"schema_version":"1.0","source":{"id":"2606.17020","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.17020","created_at":"2026-08-04T02:00:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.17020v2","created_at":"2026-08-04T02:00:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.17020","created_at":"2026-08-04T02:00:33Z"},{"alias_kind":"pith_short_12","alias_value":"IIAFWVPS5T7K","created_at":"2026-08-04T02:00:33Z"},{"alias_kind":"pith_short_16","alias_value":"IIAFWVPS5T7K7TXT","created_at":"2026-08-04T02:00:33Z"},{"alias_kind":"pith_short_8","alias_value":"IIAFWVPS","created_at":"2026-08-04T02:00:33Z"}],"graph_snapshots":[{"event_id":"sha256:1b87871833d49dc70b1a1350399d37b99f4a3f55315d73b8826ae3e291f184b3","target":"graph","created_at":"2026-08-04T02:00:33Z","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/2606.17020/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Remote sensing vision-language models have advanced Earth observation, but available large-scale vision-language resources remain RGB-centered, leaving complementary infrared information underexplored. Infrared observations provide distinctive intensity structures, object boundaries, and illumination-invariant cues that complement conventional RGB imagery, yet large-scale RGB-infrared-text resources remain scarce. We introduce FusionRS, the first large-scale RGB-infrared-style-text dataset for controlled dual-modal remote sensing vision-language learning. It contains 600,000 spatially aligned ","authors_text":"Ben Zhang, Chengyin Hu, Dingyi Lu, Fengyu Zhang, Jiaju Han, Jiujiang Guo, Luwei Yang, Qike Zhang, Xuemeng Sun, Yiwei Wei, Yuxian Dong","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T17:49:34Z","title":"FusionRS: A Large-Scale RGB-Infrared-Style Remote Sensing Dataset for Cross-Modal Vision-Language Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.17020","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:c1943bd072e7326901e867b116b90e5dc3372d6c3fec1aa9948cd7d343a4e37a","target":"record","created_at":"2026-08-04T02:00:33Z","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":"3bf360a06c5cd1bbd6950ed470b766f006ff49275418b1adff08802d7531509f","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-15T17:49:34Z","title_canon_sha256":"6d0414212e208ba3fe8c05601aa4661674d6aa0b4e090fa759ebe49e201d2d03"},"schema_version":"1.0","source":{"id":"2606.17020","kind":"arxiv","version":2}},"canonical_sha256":"42005b55f2ecfeafcef3f5214481765173417bc61a9f283760bc7d0a022f5a40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42005b55f2ecfeafcef3f5214481765173417bc61a9f283760bc7d0a022f5a40","first_computed_at":"2026-08-04T02:00:33.075917Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-04T02:00:33.075917Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Lwxmzj/9xiwxm5pJ1rjarotOTnCf16/2KIi5hKK6uWgfh0cwGGBWUw2rDHJac6kZ2S6dJqDiA29plBQoQ+8hBg==","signature_status":"signed_v1","signed_at":"2026-08-04T02:00:33.077832Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.17020","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1943bd072e7326901e867b116b90e5dc3372d6c3fec1aa9948cd7d343a4e37a","sha256:1b87871833d49dc70b1a1350399d37b99f4a3f55315d73b8826ae3e291f184b3"],"state_sha256":"65ce65d1101b8cb3efb6935737227e0b810c5cf17244eefc9748ba2966d7c9a1"}