{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:KYWOUALW2QO27ESSKGOF4NYTHI","short_pith_number":"pith:KYWOUALW","canonical_record":{"source":{"id":"1906.03990","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T14:04:37Z","cross_cats_sorted":[],"title_canon_sha256":"4ca23d6b899fd3995d609bf2a33cea90d0d91a6b09905d4418b0bd9ac79d168a","abstract_canon_sha256":"b8156e6471689625d2c07d1e186c8e7ac916e690163738baa89c607ca6da90dd"},"schema_version":"1.0"},"canonical_sha256":"562cea0176d41daf9252519c5e37133a198c5be2d64d7fd40b08bdb0ff8cbffc","source":{"kind":"arxiv","id":"1906.03990","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03990","created_at":"2026-05-17T23:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03990v2","created_at":"2026-05-17T23:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03990","created_at":"2026-05-17T23:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"KYWOUALW2QO2","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KYWOUALW2QO27ESS","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KYWOUALW","created_at":"2026-05-18T12:33:21Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:KYWOUALW2QO27ESSKGOF4NYTHI","target":"record","payload":{"canonical_record":{"source":{"id":"1906.03990","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T14:04:37Z","cross_cats_sorted":[],"title_canon_sha256":"4ca23d6b899fd3995d609bf2a33cea90d0d91a6b09905d4418b0bd9ac79d168a","abstract_canon_sha256":"b8156e6471689625d2c07d1e186c8e7ac916e690163738baa89c607ca6da90dd"},"schema_version":"1.0"},"canonical_sha256":"562cea0176d41daf9252519c5e37133a198c5be2d64d7fd40b08bdb0ff8cbffc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:14.081949Z","signature_b64":"B3GMgvgKCHV+FCE2fPpiFkhFsu/kPs++MCwsuUDAGkn+xbTCBbEOohGS59LXs2kvhqagmbPj2h+vqlm0W9A8Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"562cea0176d41daf9252519c5e37133a198c5be2d64d7fd40b08bdb0ff8cbffc","last_reissued_at":"2026-05-17T23:43:14.081195Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:14.081195Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.03990","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":"2026-05-17T23:43:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6OxGwMbU7LUVPqD/GOTqs4JD2O1CdBuaCEyCYRaZqYDud2SDl3Jmprd5PJtnu0fGJAb0OW2Vg6kloSzNnK+OCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:04:57.514396Z"},"content_sha256":"465d31577f92404fe992a5cf2a9a830f11d03f673b166f033f61407c226a78ec","schema_version":"1.0","event_id":"sha256:465d31577f92404fe992a5cf2a9a830f11d03f673b166f033f61407c226a78ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:KYWOUALW2QO27ESSKGOF4NYTHI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cheng Cui, Hui Ren, Kaibing Chen, Xianglong Meng, Yuning Du","submitted_at":"2019-06-10T14:04:37Z","abstract_excerpt":"We present a retrieval based system for landmark retrieval and recognition challenge.There are five parts in retrieval competition system, including feature extraction and matching to get candidates queue; database augmentation and query extension searching; reranking from recognition results and local feature matching. In recognition challenge including: landmark and non-landmark recognition, multiple recognition results voting and reranking using combination of recognition and retrieval results. All of models trained and predicted by PaddlePaddle framework. Using our method, we achieved 2nd "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03990","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":""},"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":"2026-05-17T23:43:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2lysiY+xafSD//PZkYY2jG6qoNI6HZeuSG4AvlLxgtu3NHaB7+/+Gg3LvAdynpnQSRioWt7YpgHDTfCSrUXuCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T12:04:57.514750Z"},"content_sha256":"b5211653e8e61aabd17a08ea6a01aecbd27e311a7b53e615f5726912f4ff8827","schema_version":"1.0","event_id":"sha256:b5211653e8e61aabd17a08ea6a01aecbd27e311a7b53e615f5726912f4ff8827"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KYWOUALW2QO27ESSKGOF4NYTHI/bundle.json","state_url":"https://pith.science/pith/KYWOUALW2QO27ESSKGOF4NYTHI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KYWOUALW2QO27ESSKGOF4NYTHI/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":"2026-05-28T12:04:57Z","links":{"resolver":"https://pith.science/pith/KYWOUALW2QO27ESSKGOF4NYTHI","bundle":"https://pith.science/pith/KYWOUALW2QO27ESSKGOF4NYTHI/bundle.json","state":"https://pith.science/pith/KYWOUALW2QO27ESSKGOF4NYTHI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KYWOUALW2QO27ESSKGOF4NYTHI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:KYWOUALW2QO27ESSKGOF4NYTHI","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":"b8156e6471689625d2c07d1e186c8e7ac916e690163738baa89c607ca6da90dd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T14:04:37Z","title_canon_sha256":"4ca23d6b899fd3995d609bf2a33cea90d0d91a6b09905d4418b0bd9ac79d168a"},"schema_version":"1.0","source":{"id":"1906.03990","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.03990","created_at":"2026-05-17T23:43:14Z"},{"alias_kind":"arxiv_version","alias_value":"1906.03990v2","created_at":"2026-05-17T23:43:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.03990","created_at":"2026-05-17T23:43:14Z"},{"alias_kind":"pith_short_12","alias_value":"KYWOUALW2QO2","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_16","alias_value":"KYWOUALW2QO27ESS","created_at":"2026-05-18T12:33:21Z"},{"alias_kind":"pith_short_8","alias_value":"KYWOUALW","created_at":"2026-05-18T12:33:21Z"}],"graph_snapshots":[{"event_id":"sha256:b5211653e8e61aabd17a08ea6a01aecbd27e311a7b53e615f5726912f4ff8827","target":"graph","created_at":"2026-05-17T23:43:14Z","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":"We present a retrieval based system for landmark retrieval and recognition challenge.There are five parts in retrieval competition system, including feature extraction and matching to get candidates queue; database augmentation and query extension searching; reranking from recognition results and local feature matching. In recognition challenge including: landmark and non-landmark recognition, multiple recognition results voting and reranking using combination of recognition and retrieval results. All of models trained and predicted by PaddlePaddle framework. Using our method, we achieved 2nd ","authors_text":"Cheng Cui, Hui Ren, Kaibing Chen, Xianglong Meng, Yuning Du","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T14:04:37Z","title":"2nd Place and 2nd Place Solution to Kaggle Landmark Recognition andRetrieval Competition 2019"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.03990","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":"sha256:465d31577f92404fe992a5cf2a9a830f11d03f673b166f033f61407c226a78ec","target":"record","created_at":"2026-05-17T23:43:14Z","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":"b8156e6471689625d2c07d1e186c8e7ac916e690163738baa89c607ca6da90dd","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T14:04:37Z","title_canon_sha256":"4ca23d6b899fd3995d609bf2a33cea90d0d91a6b09905d4418b0bd9ac79d168a"},"schema_version":"1.0","source":{"id":"1906.03990","kind":"arxiv","version":2}},"canonical_sha256":"562cea0176d41daf9252519c5e37133a198c5be2d64d7fd40b08bdb0ff8cbffc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"562cea0176d41daf9252519c5e37133a198c5be2d64d7fd40b08bdb0ff8cbffc","first_computed_at":"2026-05-17T23:43:14.081195Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:14.081195Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"B3GMgvgKCHV+FCE2fPpiFkhFsu/kPs++MCwsuUDAGkn+xbTCBbEOohGS59LXs2kvhqagmbPj2h+vqlm0W9A8Bw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:14.081949Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.03990","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:465d31577f92404fe992a5cf2a9a830f11d03f673b166f033f61407c226a78ec","sha256:b5211653e8e61aabd17a08ea6a01aecbd27e311a7b53e615f5726912f4ff8827"],"state_sha256":"93f83ef9dced176117c545c3148f276d41b47b8f74120fb0bd90b1f49969dc87"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PPRivT8JN2Ceftie+D+1AweHtzqUOo/win5PBHPpOodZBbigat57SEohkD0kauDW4JasBGPTUM61LpHUqSoIAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T12:04:57.516767Z","bundle_sha256":"efafef3a5bc4da3ddf9bc6fa2a8697022ffca1649fb25eca7ac4d5bc169e18de"}}