{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:W6P6TFB33OKOLIXOSG7KTSEQ3D","short_pith_number":"pith:W6P6TFB3","canonical_record":{"source":{"id":"1602.00970","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T15:19:16Z","cross_cats_sorted":[],"title_canon_sha256":"45a8e9f8b41891c860fcb541ec34fd9ce20a8085c5e0e39f929f20dabab067f7","abstract_canon_sha256":"f20bb8d2e65ea4b796d6fda4ec73f429faa5c8a7ebacbf6641d74eb1c2e34e0f"},"schema_version":"1.0"},"canonical_sha256":"b79fe9943bdb94e5a2ee91bea9c890d8c43583ebee460defc9d270208406245e","source":{"kind":"arxiv","id":"1602.00970","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.00970","created_at":"2026-05-18T00:38:31Z"},{"alias_kind":"arxiv_version","alias_value":"1602.00970v5","created_at":"2026-05-18T00:38:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00970","created_at":"2026-05-18T00:38:31Z"},{"alias_kind":"pith_short_12","alias_value":"W6P6TFB33OKO","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"W6P6TFB33OKOLIXO","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"W6P6TFB3","created_at":"2026-05-18T12:30:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:W6P6TFB33OKOLIXOSG7KTSEQ3D","target":"record","payload":{"canonical_record":{"source":{"id":"1602.00970","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T15:19:16Z","cross_cats_sorted":[],"title_canon_sha256":"45a8e9f8b41891c860fcb541ec34fd9ce20a8085c5e0e39f929f20dabab067f7","abstract_canon_sha256":"f20bb8d2e65ea4b796d6fda4ec73f429faa5c8a7ebacbf6641d74eb1c2e34e0f"},"schema_version":"1.0"},"canonical_sha256":"b79fe9943bdb94e5a2ee91bea9c890d8c43583ebee460defc9d270208406245e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:31.421481Z","signature_b64":"Ybufw1UwANHwJ6qpPV6jZrIm3dJOnhdt62Gxa6wlF8Y3oGymysK929Oziij+WUVY1LyWOdSuvilRnsQQs/fVDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b79fe9943bdb94e5a2ee91bea9c890d8c43583ebee460defc9d270208406245e","last_reissued_at":"2026-05-18T00:38:31.421036Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:31.421036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1602.00970","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:38:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KjwkQRXQBNanHKZw4nNoD6X3M6/L9yozr7HqR3GRWyATIYM2idbRixpSyrZ/7wCtTAhiDtPo+cXmK9M0KGE3DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T21:06:16.908463Z"},"content_sha256":"d50a881c79b2ab5ac38becaf135ef33a82cffa65b53ab0929d309e003e1643bb","schema_version":"1.0","event_id":"sha256:d50a881c79b2ab5ac38becaf135ef33a82cffa65b53ab0929d309e003e1643bb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:W6P6TFB33OKOLIXOSG7KTSEQ3D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Visual descriptors for content-based retrieval of remote sensing images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Paolo Napoletano","submitted_at":"2016-02-02T15:19:16Z","abstract_excerpt":"In this paper we present an extensive evaluation of visual descriptors for the content-based retrieval of remote sensing (RS) images. The evaluation includes global hand-crafted, local hand-crafted, and Convolutional Neural Network (CNNs) features coupled with four different Content-Based Image Retrieval schemes. We conducted all the experiments on two publicly available datasets: the 21-class UC Merced Land Use/Land Cover (LandUse) dataset and 19-class High-resolution Satellite Scene dataset (SceneSat). The content of RS images might be quite heterogeneous, ranging from images containing fine"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00970","kind":"arxiv","version":5},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:38:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eyPD5Vwg7+n8sFKisSDJx+MtjdmBg+yQGb+JB8beXldYtJG7ksC+1piTyddK29NmhYDa7y5Lwhr5o/BgbbJYBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T21:06:16.909102Z"},"content_sha256":"0abad5a899e8510c055ddcc67582483ce9eaac81927554bd2d95ac2c80af7a09","schema_version":"1.0","event_id":"sha256:0abad5a899e8510c055ddcc67582483ce9eaac81927554bd2d95ac2c80af7a09"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D/bundle.json","state_url":"https://pith.science/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D/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":"2026-06-01T21:06:16Z","links":{"resolver":"https://pith.science/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D","bundle":"https://pith.science/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D/bundle.json","state":"https://pith.science/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/W6P6TFB33OKOLIXOSG7KTSEQ3D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:W6P6TFB33OKOLIXOSG7KTSEQ3D","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":"f20bb8d2e65ea4b796d6fda4ec73f429faa5c8a7ebacbf6641d74eb1c2e34e0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T15:19:16Z","title_canon_sha256":"45a8e9f8b41891c860fcb541ec34fd9ce20a8085c5e0e39f929f20dabab067f7"},"schema_version":"1.0","source":{"id":"1602.00970","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1602.00970","created_at":"2026-05-18T00:38:31Z"},{"alias_kind":"arxiv_version","alias_value":"1602.00970v5","created_at":"2026-05-18T00:38:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1602.00970","created_at":"2026-05-18T00:38:31Z"},{"alias_kind":"pith_short_12","alias_value":"W6P6TFB33OKO","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_16","alias_value":"W6P6TFB33OKOLIXO","created_at":"2026-05-18T12:30:48Z"},{"alias_kind":"pith_short_8","alias_value":"W6P6TFB3","created_at":"2026-05-18T12:30:48Z"}],"graph_snapshots":[{"event_id":"sha256:0abad5a899e8510c055ddcc67582483ce9eaac81927554bd2d95ac2c80af7a09","target":"graph","created_at":"2026-05-18T00:38:31Z","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"},"paper":{"abstract_excerpt":"In this paper we present an extensive evaluation of visual descriptors for the content-based retrieval of remote sensing (RS) images. The evaluation includes global hand-crafted, local hand-crafted, and Convolutional Neural Network (CNNs) features coupled with four different Content-Based Image Retrieval schemes. We conducted all the experiments on two publicly available datasets: the 21-class UC Merced Land Use/Land Cover (LandUse) dataset and 19-class High-resolution Satellite Scene dataset (SceneSat). The content of RS images might be quite heterogeneous, ranging from images containing fine","authors_text":"Paolo Napoletano","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T15:19:16Z","title":"Visual descriptors for content-based retrieval of remote sensing images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1602.00970","kind":"arxiv","version":5},"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:d50a881c79b2ab5ac38becaf135ef33a82cffa65b53ab0929d309e003e1643bb","target":"record","created_at":"2026-05-18T00:38:31Z","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":"f20bb8d2e65ea4b796d6fda4ec73f429faa5c8a7ebacbf6641d74eb1c2e34e0f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-02-02T15:19:16Z","title_canon_sha256":"45a8e9f8b41891c860fcb541ec34fd9ce20a8085c5e0e39f929f20dabab067f7"},"schema_version":"1.0","source":{"id":"1602.00970","kind":"arxiv","version":5}},"canonical_sha256":"b79fe9943bdb94e5a2ee91bea9c890d8c43583ebee460defc9d270208406245e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b79fe9943bdb94e5a2ee91bea9c890d8c43583ebee460defc9d270208406245e","first_computed_at":"2026-05-18T00:38:31.421036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:31.421036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ybufw1UwANHwJ6qpPV6jZrIm3dJOnhdt62Gxa6wlF8Y3oGymysK929Oziij+WUVY1LyWOdSuvilRnsQQs/fVDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:31.421481Z","signed_message":"canonical_sha256_bytes"},"source_id":"1602.00970","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d50a881c79b2ab5ac38becaf135ef33a82cffa65b53ab0929d309e003e1643bb","sha256:0abad5a899e8510c055ddcc67582483ce9eaac81927554bd2d95ac2c80af7a09"],"state_sha256":"e2689eaab6a252fda943697dd3e5f4a90a6939275ce09dc99c786c15e7d48725"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HLWsW5+oLqnxNKSZrC5HhMxrQlMcN/unHMUV04opOmaH0lmdMkvzZwgwinCjiNphip8xJfUT+eLhtHDNrDDmAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T21:06:16.912084Z","bundle_sha256":"88c475f8771663fbb9b9fd8b0bfe7283e621d38d509fbb7e527b0a9c6847cfcc"}}