{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4QG2TELISQLE7PWWANYWLXSMKT","short_pith_number":"pith:4QG2TELI","canonical_record":{"source":{"id":"2403.05796","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-09T05:01:51Z","cross_cats_sorted":[],"title_canon_sha256":"310b863e517173d454cd5f4e06d3e8077036151e831bed54bd919f0565a3fd3b","abstract_canon_sha256":"855791dcbea29dd0cc766747318d10b8b17a6337a6c4879acc77ef2dbf815e1e"},"schema_version":"1.0"},"canonical_sha256":"e40da9916894164fbed6037165de4c54efc4ed7a95543f38c136f4749209a818","source":{"kind":"arxiv","id":"2403.05796","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.05796","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"arxiv_version","alias_value":"2403.05796v1","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.05796","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"pith_short_12","alias_value":"4QG2TELISQLE","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"pith_short_16","alias_value":"4QG2TELISQLE7PWW","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"pith_short_8","alias_value":"4QG2TELI","created_at":"2026-07-05T07:54:13Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4QG2TELISQLE7PWWANYWLXSMKT","target":"record","payload":{"canonical_record":{"source":{"id":"2403.05796","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-09T05:01:51Z","cross_cats_sorted":[],"title_canon_sha256":"310b863e517173d454cd5f4e06d3e8077036151e831bed54bd919f0565a3fd3b","abstract_canon_sha256":"855791dcbea29dd0cc766747318d10b8b17a6337a6c4879acc77ef2dbf815e1e"},"schema_version":"1.0"},"canonical_sha256":"e40da9916894164fbed6037165de4c54efc4ed7a95543f38c136f4749209a818","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:54:13.620043Z","signature_b64":"TbTG6H4VIJbyYBveqPSgSs6dbdAOiJFNSBzeiObxoaFeCisM57f/3QWDo7LdxQ3vDYIE1ccJK3LjXXejlcVWDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e40da9916894164fbed6037165de4c54efc4ed7a95543f38c136f4749209a818","last_reissued_at":"2026-07-05T07:54:13.619580Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:54:13.619580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.05796","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":"2026-07-05T07:54:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GwgkUxYjwVio6tBUgUnc2OBafjQTJ9YxQ2/BNxWm9xW7Uw5CNqV2tT1jOsM6AH55VYmt1JpW0m/dmlv3ry8BDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:28:50.904613Z"},"content_sha256":"36fdcf02d3a3502756451ed553d540da42415b023d5aeffa63bbe56cbb62391f","schema_version":"1.0","event_id":"sha256:36fdcf02d3a3502756451ed553d540da42415b023d5aeffa63bbe56cbb62391f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4QG2TELISQLE7PWWANYWLXSMKT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Binghao Lu, Caiwen Ding, Dongjin Song, Jinbo Bi","submitted_at":"2024-03-09T05:01:51Z","abstract_excerpt":"Change detection, which aims to detect spatial changes from a pair of multi-temporal images due to natural or man-made causes, has been widely applied in remote sensing, disaster management, urban management, etc. Most existing change detection approaches, however, are fully supervised and require labor-intensive pixel-level labels. To address this, we develop a novel weakly supervised change detection technique via Knowledge Distillation and Multiscale Sigmoid Inference (KD-MSI) that leverages image-level labels. In our approach, the Class Activation Maps (CAM) are utilized not only to derive"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.05796","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/2403.05796/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":"2026-07-05T07:54:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"big41WKheJp7NtXKuoWeqRtoiFlwBTtwFVk1F5OYgSmWUo9EJzabQs8qm18OXAgw2a4WA2fP/8Gap/nUatyuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T20:28:50.905706Z"},"content_sha256":"41cc70d8db6244a9b205f6f977870ed9f908d5f7b4d4177f75acbe2517471887","schema_version":"1.0","event_id":"sha256:41cc70d8db6244a9b205f6f977870ed9f908d5f7b4d4177f75acbe2517471887"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4QG2TELISQLE7PWWANYWLXSMKT/bundle.json","state_url":"https://pith.science/pith/4QG2TELISQLE7PWWANYWLXSMKT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4QG2TELISQLE7PWWANYWLXSMKT/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":"2026-08-10T20:28:50Z","links":{"resolver":"https://pith.science/pith/4QG2TELISQLE7PWWANYWLXSMKT","bundle":"https://pith.science/pith/4QG2TELISQLE7PWWANYWLXSMKT/bundle.json","state":"https://pith.science/pith/4QG2TELISQLE7PWWANYWLXSMKT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4QG2TELISQLE7PWWANYWLXSMKT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4QG2TELISQLE7PWWANYWLXSMKT","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":"855791dcbea29dd0cc766747318d10b8b17a6337a6c4879acc77ef2dbf815e1e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-09T05:01:51Z","title_canon_sha256":"310b863e517173d454cd5f4e06d3e8077036151e831bed54bd919f0565a3fd3b"},"schema_version":"1.0","source":{"id":"2403.05796","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.05796","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"arxiv_version","alias_value":"2403.05796v1","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.05796","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"pith_short_12","alias_value":"4QG2TELISQLE","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"pith_short_16","alias_value":"4QG2TELISQLE7PWW","created_at":"2026-07-05T07:54:13Z"},{"alias_kind":"pith_short_8","alias_value":"4QG2TELI","created_at":"2026-07-05T07:54:13Z"}],"graph_snapshots":[{"event_id":"sha256:41cc70d8db6244a9b205f6f977870ed9f908d5f7b4d4177f75acbe2517471887","target":"graph","created_at":"2026-07-05T07:54:13Z","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/2403.05796/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Change detection, which aims to detect spatial changes from a pair of multi-temporal images due to natural or man-made causes, has been widely applied in remote sensing, disaster management, urban management, etc. Most existing change detection approaches, however, are fully supervised and require labor-intensive pixel-level labels. To address this, we develop a novel weakly supervised change detection technique via Knowledge Distillation and Multiscale Sigmoid Inference (KD-MSI) that leverages image-level labels. In our approach, the Class Activation Maps (CAM) are utilized not only to derive","authors_text":"Binghao Lu, Caiwen Ding, Dongjin Song, Jinbo Bi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-09T05:01:51Z","title":"Weakly Supervised Change Detection via Knowledge Distillation and Multiscale Sigmoid Inference"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.05796","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":"sha256:36fdcf02d3a3502756451ed553d540da42415b023d5aeffa63bbe56cbb62391f","target":"record","created_at":"2026-07-05T07:54:13Z","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":"855791dcbea29dd0cc766747318d10b8b17a6337a6c4879acc77ef2dbf815e1e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-09T05:01:51Z","title_canon_sha256":"310b863e517173d454cd5f4e06d3e8077036151e831bed54bd919f0565a3fd3b"},"schema_version":"1.0","source":{"id":"2403.05796","kind":"arxiv","version":1}},"canonical_sha256":"e40da9916894164fbed6037165de4c54efc4ed7a95543f38c136f4749209a818","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e40da9916894164fbed6037165de4c54efc4ed7a95543f38c136f4749209a818","first_computed_at":"2026-07-05T07:54:13.619580Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:54:13.619580Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TbTG6H4VIJbyYBveqPSgSs6dbdAOiJFNSBzeiObxoaFeCisM57f/3QWDo7LdxQ3vDYIE1ccJK3LjXXejlcVWDw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:54:13.620043Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.05796","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:36fdcf02d3a3502756451ed553d540da42415b023d5aeffa63bbe56cbb62391f","sha256:41cc70d8db6244a9b205f6f977870ed9f908d5f7b4d4177f75acbe2517471887"],"state_sha256":"637b413ecdce6db1ffbc9881063de0b5166df567d47fbc9429d48758a481d8f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/W5RATNnomnHBEcwXswLdpgYqtP3UJSAJtGEM4UAIi6mVNBnByz72uCYndei++EKhaItU9/DnKuowk6wcHZFCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T20:28:50.954350Z","bundle_sha256":"e1adc4e397a1b448724197f89f7c5d002ed8a383929d588fa32c8ed7bf3120fb"}}