{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:WBMK3KBNWQNOHFOYYLZOISYO2B","short_pith_number":"pith:WBMK3KBN","canonical_record":{"source":{"id":"2305.10661","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T02:49:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ad08bcd03f34d0b5da820152d0ecb56b4e9ccde0e23c827aeefd248d9eb82653","abstract_canon_sha256":"6edf38ccbacc7bf6d520a189e18dbdb37e2ecdad1d414c7aa39da0e7b03983f5"},"schema_version":"1.0"},"canonical_sha256":"b058ada82db41ae395d8c2f2e44b0ed07283629fa23b3e3f22a11aa594dd3475","source":{"kind":"arxiv","id":"2305.10661","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.10661","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"arxiv_version","alias_value":"2305.10661v1","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10661","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"pith_short_12","alias_value":"WBMK3KBNWQNO","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"pith_short_16","alias_value":"WBMK3KBNWQNOHFOY","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"pith_short_8","alias_value":"WBMK3KBN","created_at":"2026-07-05T06:11:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:WBMK3KBNWQNOHFOYYLZOISYO2B","target":"record","payload":{"canonical_record":{"source":{"id":"2305.10661","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T02:49:07Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"ad08bcd03f34d0b5da820152d0ecb56b4e9ccde0e23c827aeefd248d9eb82653","abstract_canon_sha256":"6edf38ccbacc7bf6d520a189e18dbdb37e2ecdad1d414c7aa39da0e7b03983f5"},"schema_version":"1.0"},"canonical_sha256":"b058ada82db41ae395d8c2f2e44b0ed07283629fa23b3e3f22a11aa594dd3475","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:11:25.129680Z","signature_b64":"hvbCXznVxCxwhvpnNRx/c448HwbMb2pZSNm21ANvpZeIIuCbHkPzRkN0Xa6BsUUpDuUUDq2o52jduH7+yPFjAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b058ada82db41ae395d8c2f2e44b0ed07283629fa23b3e3f22a11aa594dd3475","last_reissued_at":"2026-07-05T06:11:25.129303Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:11:25.129303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.10661","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":"2026-07-05T06:11:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/HuY38H2aQI8S63yKVPqsmvlorqWxCaQftkq4QjRz1XpwEeaQMYw4762KkSFuXvP9AoqiIWglRMcVlBignosCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:58:21.308542Z"},"content_sha256":"7de6ff80c3158d685b3cbd4ef5d0bb0d13706484332b55d6a3b577a36cb70095","schema_version":"1.0","event_id":"sha256:7de6ff80c3158d685b3cbd4ef5d0bb0d13706484332b55d6a3b577a36cb70095"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:WBMK3KBNWQNOHFOYYLZOISYO2B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Chang Liu, Jie Ma, Yitong Li","submitted_at":"2023-05-18T02:49:07Z","abstract_excerpt":"Weakly supervised learning based on scribble annotations in target extraction of remote sensing images has drawn much interest due to scribbles' flexibility in denoting winding objects and low cost of manually labeling. However, scribbles are too sparse to identify object structure and detailed information, bringing great challenges in target localization and boundary description. To alleviate these problems, in this paper, we construct two inner structure-constraints, a deformation consistency loss and a trainable active contour loss, together with a scribble-constraint to supervise the optim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10661","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/2305.10661/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":"2026-07-05T06:11:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"31bPGACaDwRA3irqB2vxgpBeDb8giFtZjD9icgMQq6yi+vxKfY9EVr4jAsNSJGTdi5AfBVr6I/VVOZOcDUa9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:58:21.309196Z"},"content_sha256":"dab636c23010394519f179e875f18c62ec0f9809f3430450366300dfb9bb7526","schema_version":"1.0","event_id":"sha256:dab636c23010394519f179e875f18c62ec0f9809f3430450366300dfb9bb7526"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WBMK3KBNWQNOHFOYYLZOISYO2B/bundle.json","state_url":"https://pith.science/pith/WBMK3KBNWQNOHFOYYLZOISYO2B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WBMK3KBNWQNOHFOYYLZOISYO2B/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":"2026-07-09T05:58:21Z","links":{"resolver":"https://pith.science/pith/WBMK3KBNWQNOHFOYYLZOISYO2B","bundle":"https://pith.science/pith/WBMK3KBNWQNOHFOYYLZOISYO2B/bundle.json","state":"https://pith.science/pith/WBMK3KBNWQNOHFOYYLZOISYO2B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WBMK3KBNWQNOHFOYYLZOISYO2B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:WBMK3KBNWQNOHFOYYLZOISYO2B","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":"6edf38ccbacc7bf6d520a189e18dbdb37e2ecdad1d414c7aa39da0e7b03983f5","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T02:49:07Z","title_canon_sha256":"ad08bcd03f34d0b5da820152d0ecb56b4e9ccde0e23c827aeefd248d9eb82653"},"schema_version":"1.0","source":{"id":"2305.10661","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.10661","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"arxiv_version","alias_value":"2305.10661v1","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.10661","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"pith_short_12","alias_value":"WBMK3KBNWQNO","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"pith_short_16","alias_value":"WBMK3KBNWQNOHFOY","created_at":"2026-07-05T06:11:25Z"},{"alias_kind":"pith_short_8","alias_value":"WBMK3KBN","created_at":"2026-07-05T06:11:25Z"}],"graph_snapshots":[{"event_id":"sha256:dab636c23010394519f179e875f18c62ec0f9809f3430450366300dfb9bb7526","target":"graph","created_at":"2026-07-05T06:11:25Z","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/2305.10661/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Weakly supervised learning based on scribble annotations in target extraction of remote sensing images has drawn much interest due to scribbles' flexibility in denoting winding objects and low cost of manually labeling. However, scribbles are too sparse to identify object structure and detailed information, bringing great challenges in target localization and boundary description. To alleviate these problems, in this paper, we construct two inner structure-constraints, a deformation consistency loss and a trainable active contour loss, together with a scribble-constraint to supervise the optim","authors_text":"Chang Liu, Jie Ma, Yitong Li","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T02:49:07Z","title":"Scribble-Supervised Target Extraction Method Based on Inner Structure-Constraint for Remote Sensing Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.10661","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":"sha256:7de6ff80c3158d685b3cbd4ef5d0bb0d13706484332b55d6a3b577a36cb70095","target":"record","created_at":"2026-07-05T06:11:25Z","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":"6edf38ccbacc7bf6d520a189e18dbdb37e2ecdad1d414c7aa39da0e7b03983f5","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-05-18T02:49:07Z","title_canon_sha256":"ad08bcd03f34d0b5da820152d0ecb56b4e9ccde0e23c827aeefd248d9eb82653"},"schema_version":"1.0","source":{"id":"2305.10661","kind":"arxiv","version":1}},"canonical_sha256":"b058ada82db41ae395d8c2f2e44b0ed07283629fa23b3e3f22a11aa594dd3475","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b058ada82db41ae395d8c2f2e44b0ed07283629fa23b3e3f22a11aa594dd3475","first_computed_at":"2026-07-05T06:11:25.129303Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:11:25.129303Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hvbCXznVxCxwhvpnNRx/c448HwbMb2pZSNm21ANvpZeIIuCbHkPzRkN0Xa6BsUUpDuUUDq2o52jduH7+yPFjAg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:11:25.129680Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.10661","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7de6ff80c3158d685b3cbd4ef5d0bb0d13706484332b55d6a3b577a36cb70095","sha256:dab636c23010394519f179e875f18c62ec0f9809f3430450366300dfb9bb7526"],"state_sha256":"5f2714db48fceef0931de97a138f5925a361880b75c73c96b6b26fef73d5d11a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UcVP0WzOkLq0ookQA5bJQsTFciAXJsk1KfuH0T7XKocv+z0lYwBIS5NoDfPoFy4g71xMszASU1GWaYHEbW1HDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:58:21.312688Z","bundle_sha256":"24a73a499b8326bbd6d196a7a0e06f4fa00bd9b0c86bd6aa54cdc82a49856e72"}}