{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4QSARHZTBLAPRDJNST4AXJGUPY","short_pith_number":"pith:4QSARHZT","canonical_record":{"source":{"id":"2310.07511","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-11T14:07:05Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"55d7a9ab833ab49911e33a429e4c76bef85fceff487ea91f5dc2973aaed70f0f","abstract_canon_sha256":"e3e5e1ec0116c3bd5d7af26b99cf5caf0577370ee38a43322e7a18c602042c7a"},"schema_version":"1.0"},"canonical_sha256":"e424089f330ac0f88d2d94f80ba4d47e25bc88efde710711d62dd17064ee17a2","source":{"kind":"arxiv","id":"2310.07511","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07511","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07511v2","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07511","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"pith_short_12","alias_value":"4QSARHZTBLAP","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"pith_short_16","alias_value":"4QSARHZTBLAPRDJN","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"pith_short_8","alias_value":"4QSARHZT","created_at":"2026-07-05T09:05:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4QSARHZTBLAPRDJNST4AXJGUPY","target":"record","payload":{"canonical_record":{"source":{"id":"2310.07511","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-11T14:07:05Z","cross_cats_sorted":["cs.LG","eess.IV"],"title_canon_sha256":"55d7a9ab833ab49911e33a429e4c76bef85fceff487ea91f5dc2973aaed70f0f","abstract_canon_sha256":"e3e5e1ec0116c3bd5d7af26b99cf5caf0577370ee38a43322e7a18c602042c7a"},"schema_version":"1.0"},"canonical_sha256":"e424089f330ac0f88d2d94f80ba4d47e25bc88efde710711d62dd17064ee17a2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:05:11.074848Z","signature_b64":"m+y6T4o/uIz/nhmtCaNiDc+34ab+9FVsiMz+6Z0k6amztIhrMDj0Ke0URB7Wuisg326MdBk6CllvW3/ZOIoyCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e424089f330ac0f88d2d94f80ba4d47e25bc88efde710711d62dd17064ee17a2","last_reissued_at":"2026-07-05T09:05:11.074446Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:05:11.074446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.07511","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:05:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VEWVZtzWyW38+Az5KvaTjM14UBepZY1y1S6PH+VeY6P89zKXtJMw2/iAsu6U4mGrB9sj/oh/brlWL3/5YftCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:33:36.119302Z"},"content_sha256":"216c46f934d5272c1751ca6448781603988dab1f8fa69372e3f626a9e742079e","schema_version":"1.0","event_id":"sha256:216c46f934d5272c1751ca6448781603988dab1f8fa69372e3f626a9e742079e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4QSARHZTBLAPRDJNST4AXJGUPY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","eess.IV"],"primary_cat":"cs.CV","authors_text":"Hengwei Zhao, Jingtao Li, Liangpei Zhang, Xinyu Wang, Yanfei Zhong","submitted_at":"2023-10-11T14:07:05Z","abstract_excerpt":"Remote sensing anomaly detector can find the objects deviating from the background as potential targets for Earth monitoring. Given the diversity in earth anomaly types, designing a transferring model with cross-modality detection ability should be cost-effective and flexible to new earth observation sources and anomaly types. However, the current anomaly detectors aim to learn the certain background distribution, the trained model cannot be transferred to unseen images. Inspired by the fact that the deviation metric for score ranking is consistent and independent from the image distribution, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07511","kind":"arxiv","version":2},"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/2310.07511/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":"2026-07-05T09:05:11Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EIewYrFRv3Z6iAxjpsL1ODG0QZynyRXBWIdirJUovpWpwKkfyP2L5nvom2Jq02rp9Faw5G4lsFVVvrsV9RuKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T06:33:36.120167Z"},"content_sha256":"4f25371590b06af17c78fcaf0b3dfeabb0e7f4008030eaa6e0e53d4008786ecf","schema_version":"1.0","event_id":"sha256:4f25371590b06af17c78fcaf0b3dfeabb0e7f4008030eaa6e0e53d4008786ecf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4QSARHZTBLAPRDJNST4AXJGUPY/bundle.json","state_url":"https://pith.science/pith/4QSARHZTBLAPRDJNST4AXJGUPY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4QSARHZTBLAPRDJNST4AXJGUPY/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":"2026-08-11T06:33:36Z","links":{"resolver":"https://pith.science/pith/4QSARHZTBLAPRDJNST4AXJGUPY","bundle":"https://pith.science/pith/4QSARHZTBLAPRDJNST4AXJGUPY/bundle.json","state":"https://pith.science/pith/4QSARHZTBLAPRDJNST4AXJGUPY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4QSARHZTBLAPRDJNST4AXJGUPY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4QSARHZTBLAPRDJNST4AXJGUPY","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":"e3e5e1ec0116c3bd5d7af26b99cf5caf0577370ee38a43322e7a18c602042c7a","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-11T14:07:05Z","title_canon_sha256":"55d7a9ab833ab49911e33a429e4c76bef85fceff487ea91f5dc2973aaed70f0f"},"schema_version":"1.0","source":{"id":"2310.07511","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.07511","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"arxiv_version","alias_value":"2310.07511v2","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.07511","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"pith_short_12","alias_value":"4QSARHZTBLAP","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"pith_short_16","alias_value":"4QSARHZTBLAPRDJN","created_at":"2026-07-05T09:05:11Z"},{"alias_kind":"pith_short_8","alias_value":"4QSARHZT","created_at":"2026-07-05T09:05:11Z"}],"graph_snapshots":[{"event_id":"sha256:4f25371590b06af17c78fcaf0b3dfeabb0e7f4008030eaa6e0e53d4008786ecf","target":"graph","created_at":"2026-07-05T09:05:11Z","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/2310.07511/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Remote sensing anomaly detector can find the objects deviating from the background as potential targets for Earth monitoring. Given the diversity in earth anomaly types, designing a transferring model with cross-modality detection ability should be cost-effective and flexible to new earth observation sources and anomaly types. However, the current anomaly detectors aim to learn the certain background distribution, the trained model cannot be transferred to unseen images. Inspired by the fact that the deviation metric for score ranking is consistent and independent from the image distribution, ","authors_text":"Hengwei Zhao, Jingtao Li, Liangpei Zhang, Xinyu Wang, Yanfei Zhong","cross_cats":["cs.LG","eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-11T14:07:05Z","title":"Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.07511","kind":"arxiv","version":2},"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":"sha256:216c46f934d5272c1751ca6448781603988dab1f8fa69372e3f626a9e742079e","target":"record","created_at":"2026-07-05T09:05:11Z","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":"e3e5e1ec0116c3bd5d7af26b99cf5caf0577370ee38a43322e7a18c602042c7a","cross_cats_sorted":["cs.LG","eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-11T14:07:05Z","title_canon_sha256":"55d7a9ab833ab49911e33a429e4c76bef85fceff487ea91f5dc2973aaed70f0f"},"schema_version":"1.0","source":{"id":"2310.07511","kind":"arxiv","version":2}},"canonical_sha256":"e424089f330ac0f88d2d94f80ba4d47e25bc88efde710711d62dd17064ee17a2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e424089f330ac0f88d2d94f80ba4d47e25bc88efde710711d62dd17064ee17a2","first_computed_at":"2026-07-05T09:05:11.074446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:05:11.074446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"m+y6T4o/uIz/nhmtCaNiDc+34ab+9FVsiMz+6Z0k6amztIhrMDj0Ke0URB7Wuisg326MdBk6CllvW3/ZOIoyCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:05:11.074848Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.07511","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:216c46f934d5272c1751ca6448781603988dab1f8fa69372e3f626a9e742079e","sha256:4f25371590b06af17c78fcaf0b3dfeabb0e7f4008030eaa6e0e53d4008786ecf"],"state_sha256":"76800e0d85ba39b64c5946093bbfe3db3140d1a513a116707c2a344084365481"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tWvnC3Ru8mpjoLCGkp4LZMPnBow91F3QwTNJn+8460fTBjdpG2it2GYxVD8Gtg7ecfgApHFtaFnXPMxJ8qxjCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T06:33:36.126744Z","bundle_sha256":"2cd49130358cbdca114eedbafd50b30363dda7ba2cc7bf3d8ecd607375aabf29"}}