{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:SZHGNO7I4YP7OTCROOOE7LK6NI","short_pith_number":"pith:SZHGNO7I","canonical_record":{"source":{"id":"2409.15021","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"317cd94a29d8310c2b4bc163b123fd4bc970ff967133b15202ca196a51fabfca","abstract_canon_sha256":"857c4bf2c2df3cf719bb82dc1b38b7f51893147a7c2ca0f08834be228e532162"},"schema_version":"1.0"},"canonical_sha256":"964e66bbe8e61ff74c51739c4fad5e6a206f9c095f68e9142287e970c2b68342","source":{"kind":"arxiv","id":"2409.15021","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15021","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15021v1","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15021","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_12","alias_value":"SZHGNO7I4YP7","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_16","alias_value":"SZHGNO7I4YP7OTCR","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_8","alias_value":"SZHGNO7I","created_at":"2026-07-05T09:10:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:SZHGNO7I4YP7OTCROOOE7LK6NI","target":"record","payload":{"canonical_record":{"source":{"id":"2409.15021","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:47:59Z","cross_cats_sorted":[],"title_canon_sha256":"317cd94a29d8310c2b4bc163b123fd4bc970ff967133b15202ca196a51fabfca","abstract_canon_sha256":"857c4bf2c2df3cf719bb82dc1b38b7f51893147a7c2ca0f08834be228e532162"},"schema_version":"1.0"},"canonical_sha256":"964e66bbe8e61ff74c51739c4fad5e6a206f9c095f68e9142287e970c2b68342","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:10:35.175054Z","signature_b64":"J0yTbzyHoa2nvGr6zM/sLJ2fVq1IvwA5cMjwWt4jijNu5WSWWXYxco7WoNOAWZJ3SSwvUzQVykoobNdQfER0CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"964e66bbe8e61ff74c51739c4fad5e6a206f9c095f68e9142287e970c2b68342","last_reissued_at":"2026-07-05T09:10:35.174591Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:10:35.174591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.15021","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":"2026-07-05T09:10:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1UlnhHYa2JoKmkxXJA1mbVnLS4cfGqmlSvxTDed7tSiGOrVEIhjy3wJc9ifus+WKqnZrD+JlsZ7dhdjILa2oBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T07:10:30.988807Z"},"content_sha256":"72bfdca471667fd04ced420bd9a9e6ec2c60a7e8e774019cbaaf7df57aad6011","schema_version":"1.0","event_id":"sha256:72bfdca471667fd04ced420bd9a9e6ec2c60a7e8e774019cbaaf7df57aad6011"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:SZHGNO7I4YP7OTCROOOE7LK6NI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jingcheng Zeng, Qi'ao Xu, Rui Huang, Sihua Gao, Wei Fan, Weifeng Xu, Yan Xing, Yuxiang Zhang","submitted_at":"2024-09-23T13:47:59Z","abstract_excerpt":"Semi-supervised change detection (SSCD) utilizes partially labeled data and a large amount of unlabeled data to detect changes. However, the transformer-based SSCD network does not perform as well as the convolution-based SSCD network due to the lack of labeled data. To overcome this limitation, we introduce a new decoder called Cross Branch Feature Fusion CBFF, which combines the strengths of both local convolutional branch and global transformer branch. The convolutional branch is easy to learn and can produce high-quality features with a small amount of labeled data. The transformer branch,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15021","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/2409.15021/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":"2026-07-05T09:10:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j92/oUITX5vdEVPFrF7ynO2nQIDdQveuH8xYJmdc+omfI+PsXIawmaceUj3K/5PKC0JvPWRnqlPeCqGa2N5PDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T07:10:30.989288Z"},"content_sha256":"bd975727aede31d0c5a01da0624e0cd2b98ca388230612b020b91e370ca8abab","schema_version":"1.0","event_id":"sha256:bd975727aede31d0c5a01da0624e0cd2b98ca388230612b020b91e370ca8abab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SZHGNO7I4YP7OTCROOOE7LK6NI/bundle.json","state_url":"https://pith.science/pith/SZHGNO7I4YP7OTCROOOE7LK6NI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SZHGNO7I4YP7OTCROOOE7LK6NI/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":"2026-08-23T07:10:30Z","links":{"resolver":"https://pith.science/pith/SZHGNO7I4YP7OTCROOOE7LK6NI","bundle":"https://pith.science/pith/SZHGNO7I4YP7OTCROOOE7LK6NI/bundle.json","state":"https://pith.science/pith/SZHGNO7I4YP7OTCROOOE7LK6NI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SZHGNO7I4YP7OTCROOOE7LK6NI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SZHGNO7I4YP7OTCROOOE7LK6NI","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":"857c4bf2c2df3cf719bb82dc1b38b7f51893147a7c2ca0f08834be228e532162","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:47:59Z","title_canon_sha256":"317cd94a29d8310c2b4bc163b123fd4bc970ff967133b15202ca196a51fabfca"},"schema_version":"1.0","source":{"id":"2409.15021","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15021","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15021v1","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15021","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_12","alias_value":"SZHGNO7I4YP7","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_16","alias_value":"SZHGNO7I4YP7OTCR","created_at":"2026-07-05T09:10:35Z"},{"alias_kind":"pith_short_8","alias_value":"SZHGNO7I","created_at":"2026-07-05T09:10:35Z"}],"graph_snapshots":[{"event_id":"sha256:bd975727aede31d0c5a01da0624e0cd2b98ca388230612b020b91e370ca8abab","target":"graph","created_at":"2026-07-05T09:10:35Z","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/2409.15021/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semi-supervised change detection (SSCD) utilizes partially labeled data and a large amount of unlabeled data to detect changes. However, the transformer-based SSCD network does not perform as well as the convolution-based SSCD network due to the lack of labeled data. To overcome this limitation, we introduce a new decoder called Cross Branch Feature Fusion CBFF, which combines the strengths of both local convolutional branch and global transformer branch. The convolutional branch is easy to learn and can produce high-quality features with a small amount of labeled data. The transformer branch,","authors_text":"Jingcheng Zeng, Qi'ao Xu, Rui Huang, Sihua Gao, Wei Fan, Weifeng Xu, Yan Xing, Yuxiang Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:47:59Z","title":"Cross Branch Feature Fusion Decoder for Consistency Regularization-based Semi-Supervised Change Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15021","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":"sha256:72bfdca471667fd04ced420bd9a9e6ec2c60a7e8e774019cbaaf7df57aad6011","target":"record","created_at":"2026-07-05T09:10:35Z","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":"857c4bf2c2df3cf719bb82dc1b38b7f51893147a7c2ca0f08834be228e532162","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-09-23T13:47:59Z","title_canon_sha256":"317cd94a29d8310c2b4bc163b123fd4bc970ff967133b15202ca196a51fabfca"},"schema_version":"1.0","source":{"id":"2409.15021","kind":"arxiv","version":1}},"canonical_sha256":"964e66bbe8e61ff74c51739c4fad5e6a206f9c095f68e9142287e970c2b68342","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"964e66bbe8e61ff74c51739c4fad5e6a206f9c095f68e9142287e970c2b68342","first_computed_at":"2026-07-05T09:10:35.174591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:10:35.174591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J0yTbzyHoa2nvGr6zM/sLJ2fVq1IvwA5cMjwWt4jijNu5WSWWXYxco7WoNOAWZJ3SSwvUzQVykoobNdQfER0CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:10:35.175054Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15021","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72bfdca471667fd04ced420bd9a9e6ec2c60a7e8e774019cbaaf7df57aad6011","sha256:bd975727aede31d0c5a01da0624e0cd2b98ca388230612b020b91e370ca8abab"],"state_sha256":"1841d13efe0d61fe26a0ae2c23b6c88adb86df299b267d82808a76bdd0c58ed1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QL1MY9hMWMjX5/xwCjtlWzH/pjW/gvrP2v7aXvFDSF6aYCm9wzfUSNvIB+Txu05PDM1jH5r6BwcgHmiHn09rBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T07:10:30.992284Z","bundle_sha256":"18f884321a8eee18545d5ba7fdb021d0e834f1f7fd3e1df22686733d31d43a64"}}