{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:OCLCP73PLIUWS7E6KDJX4HPLQU","short_pith_number":"pith:OCLCP73P","canonical_record":{"source":{"id":"2412.08376","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T13:36:18Z","cross_cats_sorted":[],"title_canon_sha256":"130cbe560c3f64ee997b5981c62324454061eaf0ca8dca2035f479b119c91309","abstract_canon_sha256":"d1ff137617572dec97427e2b6576e0a4adb5166944b2a0d048f80eb9f01bceb4"},"schema_version":"1.0"},"canonical_sha256":"709627ff6f5a29697c9e50d37e1deb850d222f9cc354a904264d4bff682bd2d5","source":{"kind":"arxiv","id":"2412.08376","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08376","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08376v2","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08376","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"pith_short_12","alias_value":"OCLCP73PLIUW","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"pith_short_16","alias_value":"OCLCP73PLIUWS7E6","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"pith_short_8","alias_value":"OCLCP73P","created_at":"2026-07-05T10:36:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:OCLCP73PLIUWS7E6KDJX4HPLQU","target":"record","payload":{"canonical_record":{"source":{"id":"2412.08376","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T13:36:18Z","cross_cats_sorted":[],"title_canon_sha256":"130cbe560c3f64ee997b5981c62324454061eaf0ca8dca2035f479b119c91309","abstract_canon_sha256":"d1ff137617572dec97427e2b6576e0a4adb5166944b2a0d048f80eb9f01bceb4"},"schema_version":"1.0"},"canonical_sha256":"709627ff6f5a29697c9e50d37e1deb850d222f9cc354a904264d4bff682bd2d5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:36:32.756460Z","signature_b64":"fJngqgruSf8AqWhl6TL96BE/XrTHjK3db290Hvv8zxb2XhuAE06WKwhpIUBtiIUrzcQuH/0IJuS1UBAps/YSAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"709627ff6f5a29697c9e50d37e1deb850d222f9cc354a904264d4bff682bd2d5","last_reissued_at":"2026-07-05T10:36:32.755557Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:36:32.755557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.08376","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":"2026-07-05T10:36:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9+ViIn5N7YOxXvTzaVRz4x3CJMQVnqIbvOsgkwjyW9dav1yL2T4/8++vJuxiem/TtsA90rpDvAlYbqsWclSZCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:23:48.406423Z"},"content_sha256":"e81161b574b0ebec388186273a9d13b36cf73ce281f182444fd77c0ca478d95f","schema_version":"1.0","event_id":"sha256:e81161b574b0ebec388186273a9d13b36cf73ce281f182444fd77c0ca478d95f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:OCLCP73PLIUWS7E6KDJX4HPLQU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Juho Kannala, Lulu Cai, Qingnan Fan, Shaohui Liu, Shuzhe Wang, Siyan Dong, Yanchao Yang","submitted_at":"2024-12-11T13:36:18Z","abstract_excerpt":"Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera poses have gained popularity due to their fast inference capabilities. However, existing methods struggle to either generalize well to new scenes or provide accurate camera pose estimates. To address these issues, we present Reloc3r, a simple yet effective visual localization framework. It consists of an elegantly designed relative pose regression network, and a minimalist motion averaging module for absolute pose esti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08376","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/2412.08376/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":"2026-07-05T10:36:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z/QWLRmGmTb7k5lA++j0g8feKxwdC4A0A9ul4RvV+/hX6qYXfhpGu1Uz/m8ZVMAFeL3bW9PHucfD6FPdHFXUDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:23:48.406799Z"},"content_sha256":"35c7ab5d97f09a4cceabe27982a43f08a7b19f71ff671abb84da022c41d1e096","schema_version":"1.0","event_id":"sha256:35c7ab5d97f09a4cceabe27982a43f08a7b19f71ff671abb84da022c41d1e096"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OCLCP73PLIUWS7E6KDJX4HPLQU/bundle.json","state_url":"https://pith.science/pith/OCLCP73PLIUWS7E6KDJX4HPLQU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OCLCP73PLIUWS7E6KDJX4HPLQU/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":"2026-07-06T16:23:48Z","links":{"resolver":"https://pith.science/pith/OCLCP73PLIUWS7E6KDJX4HPLQU","bundle":"https://pith.science/pith/OCLCP73PLIUWS7E6KDJX4HPLQU/bundle.json","state":"https://pith.science/pith/OCLCP73PLIUWS7E6KDJX4HPLQU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OCLCP73PLIUWS7E6KDJX4HPLQU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:OCLCP73PLIUWS7E6KDJX4HPLQU","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":"d1ff137617572dec97427e2b6576e0a4adb5166944b2a0d048f80eb9f01bceb4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T13:36:18Z","title_canon_sha256":"130cbe560c3f64ee997b5981c62324454061eaf0ca8dca2035f479b119c91309"},"schema_version":"1.0","source":{"id":"2412.08376","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08376","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08376v2","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08376","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"pith_short_12","alias_value":"OCLCP73PLIUW","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"pith_short_16","alias_value":"OCLCP73PLIUWS7E6","created_at":"2026-07-05T10:36:32Z"},{"alias_kind":"pith_short_8","alias_value":"OCLCP73P","created_at":"2026-07-05T10:36:32Z"}],"graph_snapshots":[{"event_id":"sha256:35c7ab5d97f09a4cceabe27982a43f08a7b19f71ff671abb84da022c41d1e096","target":"graph","created_at":"2026-07-05T10:36:32Z","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/2412.08376/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Visual localization aims to determine the camera pose of a query image relative to a database of posed images. In recent years, deep neural networks that directly regress camera poses have gained popularity due to their fast inference capabilities. However, existing methods struggle to either generalize well to new scenes or provide accurate camera pose estimates. To address these issues, we present Reloc3r, a simple yet effective visual localization framework. It consists of an elegantly designed relative pose regression network, and a minimalist motion averaging module for absolute pose esti","authors_text":"Juho Kannala, Lulu Cai, Qingnan Fan, Shaohui Liu, Shuzhe Wang, Siyan Dong, Yanchao Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T13:36:18Z","title":"Reloc3r: Large-Scale Training of Relative Camera Pose Regression for Generalizable, Fast, and Accurate Visual Localization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08376","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:e81161b574b0ebec388186273a9d13b36cf73ce281f182444fd77c0ca478d95f","target":"record","created_at":"2026-07-05T10:36:32Z","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":"d1ff137617572dec97427e2b6576e0a4adb5166944b2a0d048f80eb9f01bceb4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-11T13:36:18Z","title_canon_sha256":"130cbe560c3f64ee997b5981c62324454061eaf0ca8dca2035f479b119c91309"},"schema_version":"1.0","source":{"id":"2412.08376","kind":"arxiv","version":2}},"canonical_sha256":"709627ff6f5a29697c9e50d37e1deb850d222f9cc354a904264d4bff682bd2d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"709627ff6f5a29697c9e50d37e1deb850d222f9cc354a904264d4bff682bd2d5","first_computed_at":"2026-07-05T10:36:32.755557Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:32.755557Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fJngqgruSf8AqWhl6TL96BE/XrTHjK3db290Hvv8zxb2XhuAE06WKwhpIUBtiIUrzcQuH/0IJuS1UBAps/YSAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:32.756460Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08376","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e81161b574b0ebec388186273a9d13b36cf73ce281f182444fd77c0ca478d95f","sha256:35c7ab5d97f09a4cceabe27982a43f08a7b19f71ff671abb84da022c41d1e096"],"state_sha256":"325bfa00e7eef06489b4b81c5123475bef2d18b2d644a43d37dd8483a163343c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N19g3qCis2fY9ZUb/TWVz4Dsz74N/CWTmr6nuirA3dKqlmgSD+7JtLy0FlG9ZFSp/mlSCcSiNK4RH4B+u7w5Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:23:48.408713Z","bundle_sha256":"0ee1bc11b48b73324cb313f89547afdf49ab9dffa2ed4243ada932d8840b75a3"}}