{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:I5RA5LSWBEVTOBWLCMARGFER4A","short_pith_number":"pith:I5RA5LSW","canonical_record":{"source":{"id":"2606.10328","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T02:23:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3f14d526d46f61d85578721689a0a966f690bb05cf52a43f9803a101e927bbe7","abstract_canon_sha256":"354fa0562f9c1efba167f88bc26c3397c095663250151c3557f1b294df662ffb"},"schema_version":"1.0"},"canonical_sha256":"47620eae56092b3706cb1301131491e020bcb4d195506fa6274eeddd9839c735","source":{"kind":"arxiv","id":"2606.10328","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10328","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10328v1","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10328","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"pith_short_12","alias_value":"I5RA5LSWBEVT","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"pith_short_16","alias_value":"I5RA5LSWBEVTOBWL","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"pith_short_8","alias_value":"I5RA5LSW","created_at":"2026-06-10T01:10:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:I5RA5LSWBEVTOBWLCMARGFER4A","target":"record","payload":{"canonical_record":{"source":{"id":"2606.10328","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T02:23:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"3f14d526d46f61d85578721689a0a966f690bb05cf52a43f9803a101e927bbe7","abstract_canon_sha256":"354fa0562f9c1efba167f88bc26c3397c095663250151c3557f1b294df662ffb"},"schema_version":"1.0"},"canonical_sha256":"47620eae56092b3706cb1301131491e020bcb4d195506fa6274eeddd9839c735","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-10T01:10:12.091063Z","signature_b64":"3XJhhufmjoHL0c/iqYjqqlsTRG//K1NLcO6NzkHiIBs19q8ZNkYuvstNHQfDL2Db42b7QQZV6fapxmfS5PtzDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47620eae56092b3706cb1301131491e020bcb4d195506fa6274eeddd9839c735","last_reissued_at":"2026-06-10T01:10:12.090185Z","signature_status":"signed_v1","first_computed_at":"2026-06-10T01:10:12.090185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.10328","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-10T01:10:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5MXbJNHMqElX7BqpsjUitpYPwkhplVI3gFMlNQ3BF5MsjqhYOcpkb9lcORd+vDmZAEdeiKsurdmdsZbGr5qBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:25:30.379472Z"},"content_sha256":"48530332ad35d591c63c31352fc4becedf6952161c0a6302d61ec5bef9b151d2","schema_version":"1.0","event_id":"sha256:48530332ad35d591c63c31352fc4becedf6952161c0a6302d61ec5bef9b151d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:I5RA5LSWBEVTOBWLCMARGFER4A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Yunlong Liu, Zekai Zhang","submitted_at":"2026-06-09T02:23:49Z","abstract_excerpt":"The integration of spatial and spectral information is beneficial to the improvement of change detection performance. However, existing methods cannot efficiently suppress the influences of spatial and spectral differences in unchanged areas. To address these issues, in this paper we propose a content-guided spatial-spectral integration network (CSI-Net) for the fusion of global spatial details and spectral difference information. Specifically, the proposed CSI-Net is composed of a spatial reasoning (SR) module, a spectral difference (SD) module, and a content-guided integration (CGI) module. "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10328","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.10328/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-10T01:10:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nsKA/S7IgUHcuz7xIe1GTMFCySkhVVaXk0XJ68U6GUcIH7NiGvCOdC6HXE/nPWT3mKYSPcAIOEgFD8EcfHBZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:25:30.380149Z"},"content_sha256":"a0745ffcbed63f3bad4603e3920fce9b97f775ce89cfd793f0b993f1881fd87f","schema_version":"1.0","event_id":"sha256:a0745ffcbed63f3bad4603e3920fce9b97f775ce89cfd793f0b993f1881fd87f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5RA5LSWBEVTOBWLCMARGFER4A/bundle.json","state_url":"https://pith.science/pith/I5RA5LSWBEVTOBWLCMARGFER4A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5RA5LSWBEVTOBWLCMARGFER4A/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-09T05:25:30Z","links":{"resolver":"https://pith.science/pith/I5RA5LSWBEVTOBWLCMARGFER4A","bundle":"https://pith.science/pith/I5RA5LSWBEVTOBWLCMARGFER4A/bundle.json","state":"https://pith.science/pith/I5RA5LSWBEVTOBWLCMARGFER4A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5RA5LSWBEVTOBWLCMARGFER4A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:I5RA5LSWBEVTOBWLCMARGFER4A","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":"354fa0562f9c1efba167f88bc26c3397c095663250151c3557f1b294df662ffb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T02:23:49Z","title_canon_sha256":"3f14d526d46f61d85578721689a0a966f690bb05cf52a43f9803a101e927bbe7"},"schema_version":"1.0","source":{"id":"2606.10328","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.10328","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"arxiv_version","alias_value":"2606.10328v1","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.10328","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"pith_short_12","alias_value":"I5RA5LSWBEVT","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"pith_short_16","alias_value":"I5RA5LSWBEVTOBWL","created_at":"2026-06-10T01:10:12Z"},{"alias_kind":"pith_short_8","alias_value":"I5RA5LSW","created_at":"2026-06-10T01:10:12Z"}],"graph_snapshots":[{"event_id":"sha256:a0745ffcbed63f3bad4603e3920fce9b97f775ce89cfd793f0b993f1881fd87f","target":"graph","created_at":"2026-06-10T01:10:12Z","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/2606.10328/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The integration of spatial and spectral information is beneficial to the improvement of change detection performance. However, existing methods cannot efficiently suppress the influences of spatial and spectral differences in unchanged areas. To address these issues, in this paper we propose a content-guided spatial-spectral integration network (CSI-Net) for the fusion of global spatial details and spectral difference information. Specifically, the proposed CSI-Net is composed of a spatial reasoning (SR) module, a spectral difference (SD) module, and a content-guided integration (CGI) module. ","authors_text":"Yunlong Liu, Zekai Zhang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T02:23:49Z","title":"Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.10328","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":"sha256:48530332ad35d591c63c31352fc4becedf6952161c0a6302d61ec5bef9b151d2","target":"record","created_at":"2026-06-10T01:10:12Z","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":"354fa0562f9c1efba167f88bc26c3397c095663250151c3557f1b294df662ffb","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-09T02:23:49Z","title_canon_sha256":"3f14d526d46f61d85578721689a0a966f690bb05cf52a43f9803a101e927bbe7"},"schema_version":"1.0","source":{"id":"2606.10328","kind":"arxiv","version":1}},"canonical_sha256":"47620eae56092b3706cb1301131491e020bcb4d195506fa6274eeddd9839c735","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"47620eae56092b3706cb1301131491e020bcb4d195506fa6274eeddd9839c735","first_computed_at":"2026-06-10T01:10:12.090185Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-10T01:10:12.090185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3XJhhufmjoHL0c/iqYjqqlsTRG//K1NLcO6NzkHiIBs19q8ZNkYuvstNHQfDL2Db42b7QQZV6fapxmfS5PtzDg==","signature_status":"signed_v1","signed_at":"2026-06-10T01:10:12.091063Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.10328","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:48530332ad35d591c63c31352fc4becedf6952161c0a6302d61ec5bef9b151d2","sha256:a0745ffcbed63f3bad4603e3920fce9b97f775ce89cfd793f0b993f1881fd87f"],"state_sha256":"a796b6367311ac8cd72e092e449542dceac4fee5da8f256d9cc2d7b40329c067"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2H7dMERDaSHkiXvYAjEKkzseA3VNTjLNNhjeccECh7t0Jdv/dXD2+H+sliMQkCr8ZwPjTvo1jtgJGqsQaV9JDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:25:30.384676Z","bundle_sha256":"8dfa5ddaf3fb57dd13fa2feada5317756b565c496b28ebd60ce45a28f8cf8244"}}