{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BMNRHDK3XHCNKMRGCTUQUDKMZ7","short_pith_number":"pith:BMNRHDK3","canonical_record":{"source":{"id":"1906.11874","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T12:48:26Z","cross_cats_sorted":[],"title_canon_sha256":"30d5f774b360b4302627fd0554ed1b5fc651bc2e40ec7bb367e4b74a33296c03","abstract_canon_sha256":"f9e1439820504d545f1793b531758c878ecc12cc7f100ec55ffa41e5ef9c7252"},"schema_version":"1.0"},"canonical_sha256":"0b1b138d5bb9c4d5322614e90a0d4ccfc72ad7cb3722dec1589694dc224f6433","source":{"kind":"arxiv","id":"1906.11874","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11874","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11874v1","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11874","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"BMNRHDK3XHCN","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BMNRHDK3XHCNKMRG","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BMNRHDK3","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BMNRHDK3XHCNKMRGCTUQUDKMZ7","target":"record","payload":{"canonical_record":{"source":{"id":"1906.11874","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T12:48:26Z","cross_cats_sorted":[],"title_canon_sha256":"30d5f774b360b4302627fd0554ed1b5fc651bc2e40ec7bb367e4b74a33296c03","abstract_canon_sha256":"f9e1439820504d545f1793b531758c878ecc12cc7f100ec55ffa41e5ef9c7252"},"schema_version":"1.0"},"canonical_sha256":"0b1b138d5bb9c4d5322614e90a0d4ccfc72ad7cb3722dec1589694dc224f6433","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:01.808006Z","signature_b64":"f3ZzEocVh9FyC+6GGERoXtWRIZFQxMibq3+XLJ4/2C6GhKYOFOtvJQugMZ0tMvz3ENLxjZRODsGkZRq6wLSfCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b1b138d5bb9c4d5322614e90a0d4ccfc72ad7cb3722dec1589694dc224f6433","last_reissued_at":"2026-05-17T23:42:01.807347Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:01.807347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.11874","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":"2026-05-17T23:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aWsypnQDBz4Y0F3VjPjhTtV2BzRCwW3fUnitobjVZK46jwAd5qIkC5gQ0WSKuhgqHXQBPeuFPfn0wknGGJEsAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T00:02:07.169821Z"},"content_sha256":"70fdbafbd595d2096f6fcefa86cbde7e50dadde610a3b553eb073963fe3d7b85","schema_version":"1.0","event_id":"sha256:70fdbafbd595d2096f6fcefa86cbde7e50dadde610a3b553eb073963fe3d7b85"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BMNRHDK3XHCNKMRGCTUQUDKMZ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Team JL Solution to Google Landmark Recognition 2019","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chuanpeng Li, Yinzheng Gu","submitted_at":"2019-06-10T12:48:26Z","abstract_excerpt":"In this paper, we describe our solution to the Google Landmark Recognition 2019 Challenge held on Kaggle. Due to the large number of classes, noisy data, imbalanced class sizes, and the presence of a significant amount of distractors in the test set, our method is based mainly on retrieval techniques with both global and local CNN approaches. Our full pipeline, after ensembling the models and applying several steps of re-ranking strategies, scores 0.37606 GAP on the private leaderboard which won the 1st place in the competition."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11874","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":""},"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":"2026-05-17T23:42:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oqBPLNBCCdK7ImZ2oZGnTY8IELcrlY5QJV9OBqJggQYhfd/ggbp5ARbc8+L/kIV9T4BdwNGbXGSp5BKFY3TBAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T00:02:07.170366Z"},"content_sha256":"03cf7c3476a9e5b86e1dfcbfd512b212365ff28d7dac7c2fb7a73b8ff50bf713","schema_version":"1.0","event_id":"sha256:03cf7c3476a9e5b86e1dfcbfd512b212365ff28d7dac7c2fb7a73b8ff50bf713"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7/bundle.json","state_url":"https://pith.science/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7/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":"2026-06-09T00:02:07Z","links":{"resolver":"https://pith.science/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7","bundle":"https://pith.science/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7/bundle.json","state":"https://pith.science/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BMNRHDK3XHCNKMRGCTUQUDKMZ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BMNRHDK3XHCNKMRGCTUQUDKMZ7","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":"f9e1439820504d545f1793b531758c878ecc12cc7f100ec55ffa41e5ef9c7252","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T12:48:26Z","title_canon_sha256":"30d5f774b360b4302627fd0554ed1b5fc651bc2e40ec7bb367e4b74a33296c03"},"schema_version":"1.0","source":{"id":"1906.11874","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.11874","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"arxiv_version","alias_value":"1906.11874v1","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.11874","created_at":"2026-05-17T23:42:01Z"},{"alias_kind":"pith_short_12","alias_value":"BMNRHDK3XHCN","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BMNRHDK3XHCNKMRG","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BMNRHDK3","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:03cf7c3476a9e5b86e1dfcbfd512b212365ff28d7dac7c2fb7a73b8ff50bf713","target":"graph","created_at":"2026-05-17T23:42:01Z","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 describe our solution to the Google Landmark Recognition 2019 Challenge held on Kaggle. Due to the large number of classes, noisy data, imbalanced class sizes, and the presence of a significant amount of distractors in the test set, our method is based mainly on retrieval techniques with both global and local CNN approaches. Our full pipeline, after ensembling the models and applying several steps of re-ranking strategies, scores 0.37606 GAP on the private leaderboard which won the 1st place in the competition.","authors_text":"Chuanpeng Li, Yinzheng Gu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T12:48:26Z","title":"Team JL Solution to Google Landmark Recognition 2019"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.11874","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":"sha256:70fdbafbd595d2096f6fcefa86cbde7e50dadde610a3b553eb073963fe3d7b85","target":"record","created_at":"2026-05-17T23:42:01Z","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":"f9e1439820504d545f1793b531758c878ecc12cc7f100ec55ffa41e5ef9c7252","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-10T12:48:26Z","title_canon_sha256":"30d5f774b360b4302627fd0554ed1b5fc651bc2e40ec7bb367e4b74a33296c03"},"schema_version":"1.0","source":{"id":"1906.11874","kind":"arxiv","version":1}},"canonical_sha256":"0b1b138d5bb9c4d5322614e90a0d4ccfc72ad7cb3722dec1589694dc224f6433","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b1b138d5bb9c4d5322614e90a0d4ccfc72ad7cb3722dec1589694dc224f6433","first_computed_at":"2026-05-17T23:42:01.807347Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:01.807347Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"f3ZzEocVh9FyC+6GGERoXtWRIZFQxMibq3+XLJ4/2C6GhKYOFOtvJQugMZ0tMvz3ENLxjZRODsGkZRq6wLSfCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:01.808006Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.11874","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70fdbafbd595d2096f6fcefa86cbde7e50dadde610a3b553eb073963fe3d7b85","sha256:03cf7c3476a9e5b86e1dfcbfd512b212365ff28d7dac7c2fb7a73b8ff50bf713"],"state_sha256":"64192ec00c74d1ef6ea837287b649784013123fbcff377e7ef02c3c07454eddd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dCrj9UTt7eNKThLzMezPK26OYWvbj8Fo4+7u+Dey2UGBmuGtk+IjErxAZnToV1P/4P78BChehrzgwRNsCO0lAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T00:02:07.172602Z","bundle_sha256":"16f07e8f4dfd6f7221f1600682f3788df51d14e00e6c0399efbf8076cb798400"}}