{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:UXHOWZ3QX2OOY2ISRU772Z65RC","short_pith_number":"pith:UXHOWZ3Q","canonical_record":{"source":{"id":"2304.11422","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-22T14:40:41Z","cross_cats_sorted":[],"title_canon_sha256":"8a38be7192a867a9b029874f193520528520c87ebed1fd2ec9bb68179427e07c","abstract_canon_sha256":"99d55bf46c7613502f90663efba6c8c877dd1c5fd892a11039bcce3d4d542671"},"schema_version":"1.0"},"canonical_sha256":"a5ceeb6770be9cec69128d3ffd67dd88bd46ce5d3fa7790f136927d80713bc1b","source":{"kind":"arxiv","id":"2304.11422","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.11422","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"arxiv_version","alias_value":"2304.11422v1","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.11422","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"pith_short_12","alias_value":"UXHOWZ3QX2OO","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"pith_short_16","alias_value":"UXHOWZ3QX2OOY2IS","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"pith_short_8","alias_value":"UXHOWZ3Q","created_at":"2026-07-05T06:03:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:UXHOWZ3QX2OOY2ISRU772Z65RC","target":"record","payload":{"canonical_record":{"source":{"id":"2304.11422","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-22T14:40:41Z","cross_cats_sorted":[],"title_canon_sha256":"8a38be7192a867a9b029874f193520528520c87ebed1fd2ec9bb68179427e07c","abstract_canon_sha256":"99d55bf46c7613502f90663efba6c8c877dd1c5fd892a11039bcce3d4d542671"},"schema_version":"1.0"},"canonical_sha256":"a5ceeb6770be9cec69128d3ffd67dd88bd46ce5d3fa7790f136927d80713bc1b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:03:32.455506Z","signature_b64":"6QZblyfPDS87U8v/SrLAS7XILKhxJ3RUiIB+W9nOlAsG+oYS0qELsdH2GVgXRqk56KKANELo1YGDnPWh5NCKDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5ceeb6770be9cec69128d3ffd67dd88bd46ce5d3fa7790f136927d80713bc1b","last_reissued_at":"2026-07-05T06:03:32.455159Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:03:32.455159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.11422","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":"2026-07-05T06:03:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZWDX140hCphyOAkUD5jq2zkevLKZvJBuYMPeMcnEulkeRjwi4hv5a18Dw07yrXWuREQ9i1XI4L6ITmJWe+PpCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T20:19:49.229164Z"},"content_sha256":"dd91a5f606353be861170ebfde59dd0d0da83174a83014e920a938de3463e0cb","schema_version":"1.0","event_id":"sha256:dd91a5f606353be861170ebfde59dd0d0da83174a83014e920a938de3463e0cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:UXHOWZ3QX2OOY2ISRU772Z65RC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiawei Yang, Mengting Ma, Tian Feng, Tingfeng Hong, Wei Zhang, Xiaowen Ma, Ziyan Zhao","submitted_at":"2023-04-22T14:40:41Z","abstract_excerpt":"As an important task in remote sensing image analysis, remote sensing change detection (RSCD) aims to identify changes of interest in a region from spatially co-registered multi-temporal remote sensing images, so as to monitor the local development. Existing RSCD methods usually formulate RSCD as a binary classification task, representing changes of interest by merely feature concatenation or feature subtraction and recovering the spatial details via densely connected change representations, whose performances need further improvement. In this paper, we propose STNet, a RSCD network based on s"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.11422","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/2304.11422/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":"2026-07-05T06:03:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rO2FWODhCB4tudgYaiSuU6eZ3TVSD7m8O/OZ3mVtxYflOHUfnplJOmVJ6zgySFxBQEaYMSLMfL0gJs3ay1KFDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T20:19:49.229684Z"},"content_sha256":"f2758d0e09060d10d1f7e5f593e34050c9485c5009890818feb9be70180024b9","schema_version":"1.0","event_id":"sha256:f2758d0e09060d10d1f7e5f593e34050c9485c5009890818feb9be70180024b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UXHOWZ3QX2OOY2ISRU772Z65RC/bundle.json","state_url":"https://pith.science/pith/UXHOWZ3QX2OOY2ISRU772Z65RC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UXHOWZ3QX2OOY2ISRU772Z65RC/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":"2026-08-23T20:19:49Z","links":{"resolver":"https://pith.science/pith/UXHOWZ3QX2OOY2ISRU772Z65RC","bundle":"https://pith.science/pith/UXHOWZ3QX2OOY2ISRU772Z65RC/bundle.json","state":"https://pith.science/pith/UXHOWZ3QX2OOY2ISRU772Z65RC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UXHOWZ3QX2OOY2ISRU772Z65RC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:UXHOWZ3QX2OOY2ISRU772Z65RC","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":"99d55bf46c7613502f90663efba6c8c877dd1c5fd892a11039bcce3d4d542671","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-22T14:40:41Z","title_canon_sha256":"8a38be7192a867a9b029874f193520528520c87ebed1fd2ec9bb68179427e07c"},"schema_version":"1.0","source":{"id":"2304.11422","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.11422","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"arxiv_version","alias_value":"2304.11422v1","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.11422","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"pith_short_12","alias_value":"UXHOWZ3QX2OO","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"pith_short_16","alias_value":"UXHOWZ3QX2OOY2IS","created_at":"2026-07-05T06:03:32Z"},{"alias_kind":"pith_short_8","alias_value":"UXHOWZ3Q","created_at":"2026-07-05T06:03:32Z"}],"graph_snapshots":[{"event_id":"sha256:f2758d0e09060d10d1f7e5f593e34050c9485c5009890818feb9be70180024b9","target":"graph","created_at":"2026-07-05T06:03:32Z","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/2304.11422/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As an important task in remote sensing image analysis, remote sensing change detection (RSCD) aims to identify changes of interest in a region from spatially co-registered multi-temporal remote sensing images, so as to monitor the local development. Existing RSCD methods usually formulate RSCD as a binary classification task, representing changes of interest by merely feature concatenation or feature subtraction and recovering the spatial details via densely connected change representations, whose performances need further improvement. In this paper, we propose STNet, a RSCD network based on s","authors_text":"Jiawei Yang, Mengting Ma, Tian Feng, Tingfeng Hong, Wei Zhang, Xiaowen Ma, Ziyan Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-22T14:40:41Z","title":"STNet: Spatial and Temporal feature fusion network for change detection in remote sensing images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.11422","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:dd91a5f606353be861170ebfde59dd0d0da83174a83014e920a938de3463e0cb","target":"record","created_at":"2026-07-05T06:03:32Z","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":"99d55bf46c7613502f90663efba6c8c877dd1c5fd892a11039bcce3d4d542671","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-04-22T14:40:41Z","title_canon_sha256":"8a38be7192a867a9b029874f193520528520c87ebed1fd2ec9bb68179427e07c"},"schema_version":"1.0","source":{"id":"2304.11422","kind":"arxiv","version":1}},"canonical_sha256":"a5ceeb6770be9cec69128d3ffd67dd88bd46ce5d3fa7790f136927d80713bc1b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5ceeb6770be9cec69128d3ffd67dd88bd46ce5d3fa7790f136927d80713bc1b","first_computed_at":"2026-07-05T06:03:32.455159Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:03:32.455159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6QZblyfPDS87U8v/SrLAS7XILKhxJ3RUiIB+W9nOlAsG+oYS0qELsdH2GVgXRqk56KKANELo1YGDnPWh5NCKDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:03:32.455506Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.11422","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd91a5f606353be861170ebfde59dd0d0da83174a83014e920a938de3463e0cb","sha256:f2758d0e09060d10d1f7e5f593e34050c9485c5009890818feb9be70180024b9"],"state_sha256":"f04ffb6f1b1b9f9159b99d8268a3931e39567c5a59f4d7c6b0ae9ff17c7aa485"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wmE6JqEYjbyKmj6bpovVUYWviY8Md6HqZqVlXVwLHxwIjQtiHc22ohDysS6w7BaCJuYSWztblh8C5FdcrKsUAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T20:19:49.235004Z","bundle_sha256":"e7fb19cbe97b94c6dc49f3611bc79d6ba63a7edb58024ad5afaa3f35be419927"}}