{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HO6ORV5UY2EIJHPBGPIYJCK6AB","short_pith_number":"pith:HO6ORV5U","canonical_record":{"source":{"id":"1812.03707","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T10:05:40Z","cross_cats_sorted":[],"title_canon_sha256":"e25da40a8c0085f93a3a0fdec7862e84417619d24d7ca0517c0eb4ec68ac796f","abstract_canon_sha256":"a7ce6538ddf3178934cc3e3c95a496fc488753504177fe26de6ce6d14b01eee9"},"schema_version":"1.0"},"canonical_sha256":"3bbce8d7b4c688849de133d184895e00582c2c5f757ae4a1709219b5cee0b9bb","source":{"kind":"arxiv","id":"1812.03707","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.03707","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"1812.03707v3","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.03707","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"HO6ORV5UY2EI","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HO6ORV5UY2EIJHPB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HO6ORV5U","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HO6ORV5UY2EIJHPBGPIYJCK6AB","target":"record","payload":{"canonical_record":{"source":{"id":"1812.03707","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T10:05:40Z","cross_cats_sorted":[],"title_canon_sha256":"e25da40a8c0085f93a3a0fdec7862e84417619d24d7ca0517c0eb4ec68ac796f","abstract_canon_sha256":"a7ce6538ddf3178934cc3e3c95a496fc488753504177fe26de6ce6d14b01eee9"},"schema_version":"1.0"},"canonical_sha256":"3bbce8d7b4c688849de133d184895e00582c2c5f757ae4a1709219b5cee0b9bb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:22.028812Z","signature_b64":"5Ar8otXsxiamIg7v4BJnsmEOYkFFZ3Sczn20Q6FksFjOpp7JlMmn1VbQb1ipBJedoHM6VlJUJLRBGKncT67ECg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3bbce8d7b4c688849de133d184895e00582c2c5f757ae4a1709219b5cee0b9bb","last_reissued_at":"2026-05-17T23:49:22.028391Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:22.028391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.03707","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:49:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uhP6XJEplu39CElatx+B18QQBvm0cPwhqNy3J9eJTeAgP7sji8kPn7zesy4eZMnPSeyVBqrRtVPT1xAw858qBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:31:38.851089Z"},"content_sha256":"646444d761a126fa5b7556edc331a2f254ad80e77ebcb86663087186e812d802","schema_version":"1.0","event_id":"sha256:646444d761a126fa5b7556edc331a2f254ad80e77ebcb86663087186e812d802"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HO6ORV5UY2EIJHPBGPIYJCK6AB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Improving Nighttime Retrieval-Based Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guillaume Bourmaud, Hugo Germain, Vincent Lepetit","submitted_at":"2018-12-10T10:05:40Z","abstract_excerpt":"Outdoor visual localization is a crucial component to many computer vision systems. We propose an approach to localization from images that is designed to explicitly handle the strong variations in appearance happening between daytime and nighttime. As revealed by recent long-term localization benchmarks, both traditional feature-based and retrieval-based approaches still struggle to handle such changes. Our novel localization method combines a state-of-the-art image retrieval architecture with condition-specific sub-networks allowing the computation of global image descriptors that are explic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.03707","kind":"arxiv","version":3},"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":"2026-05-17T23:49:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rvz57lQPL+EmGn5ZhNHJz5YER2tfY/X4c9H6kiuM6urzqRYAy3wFLMfiFLj/XKu8qvIJRbRvdHXUIQFzKKOyDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T23:31:38.851469Z"},"content_sha256":"ced705108878f6f430059460cbabfffe983efa53b851bc23d6d7bcc1443f817b","schema_version":"1.0","event_id":"sha256:ced705108878f6f430059460cbabfffe983efa53b851bc23d6d7bcc1443f817b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB/bundle.json","state_url":"https://pith.science/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB/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":"2026-05-25T23:31:38Z","links":{"resolver":"https://pith.science/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB","bundle":"https://pith.science/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB/bundle.json","state":"https://pith.science/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HO6ORV5UY2EIJHPBGPIYJCK6AB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HO6ORV5UY2EIJHPBGPIYJCK6AB","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":"a7ce6538ddf3178934cc3e3c95a496fc488753504177fe26de6ce6d14b01eee9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T10:05:40Z","title_canon_sha256":"e25da40a8c0085f93a3a0fdec7862e84417619d24d7ca0517c0eb4ec68ac796f"},"schema_version":"1.0","source":{"id":"1812.03707","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.03707","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"1812.03707v3","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.03707","created_at":"2026-05-17T23:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"HO6ORV5UY2EI","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HO6ORV5UY2EIJHPB","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HO6ORV5U","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:ced705108878f6f430059460cbabfffe983efa53b851bc23d6d7bcc1443f817b","target":"graph","created_at":"2026-05-17T23:49:22Z","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":"Outdoor visual localization is a crucial component to many computer vision systems. We propose an approach to localization from images that is designed to explicitly handle the strong variations in appearance happening between daytime and nighttime. As revealed by recent long-term localization benchmarks, both traditional feature-based and retrieval-based approaches still struggle to handle such changes. Our novel localization method combines a state-of-the-art image retrieval architecture with condition-specific sub-networks allowing the computation of global image descriptors that are explic","authors_text":"Guillaume Bourmaud, Hugo Germain, Vincent Lepetit","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T10:05:40Z","title":"Improving Nighttime Retrieval-Based Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.03707","kind":"arxiv","version":3},"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":"sha256:646444d761a126fa5b7556edc331a2f254ad80e77ebcb86663087186e812d802","target":"record","created_at":"2026-05-17T23:49:22Z","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":"a7ce6538ddf3178934cc3e3c95a496fc488753504177fe26de6ce6d14b01eee9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T10:05:40Z","title_canon_sha256":"e25da40a8c0085f93a3a0fdec7862e84417619d24d7ca0517c0eb4ec68ac796f"},"schema_version":"1.0","source":{"id":"1812.03707","kind":"arxiv","version":3}},"canonical_sha256":"3bbce8d7b4c688849de133d184895e00582c2c5f757ae4a1709219b5cee0b9bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3bbce8d7b4c688849de133d184895e00582c2c5f757ae4a1709219b5cee0b9bb","first_computed_at":"2026-05-17T23:49:22.028391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:49:22.028391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5Ar8otXsxiamIg7v4BJnsmEOYkFFZ3Sczn20Q6FksFjOpp7JlMmn1VbQb1ipBJedoHM6VlJUJLRBGKncT67ECg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:49:22.028812Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.03707","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:646444d761a126fa5b7556edc331a2f254ad80e77ebcb86663087186e812d802","sha256:ced705108878f6f430059460cbabfffe983efa53b851bc23d6d7bcc1443f817b"],"state_sha256":"383a299083a45ffb21f44fce0f2e99a740ea8f9f9e6f08279ed7f2e35d9f9397"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KzlNB2SPGogTfEY1gze7fs4iYygsGTXHdGZ5IM20NPYrUZflLvJ9EvuDoBqAl1DoOycabJ9RSss41FQTDgGJBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T23:31:38.853849Z","bundle_sha256":"50c1fbde3987640fda0890af1fdba344ee8213acc045f50646a36106a5683a1a"}}