{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GIBUAKEVX3PFAFZBWRFJIBKQDJ","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":"b418b84306e3a0a90aab56c5a2769119266b28b7e01184d990483dae2e62c906","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T14:49:49Z","title_canon_sha256":"b02612ec47d7ba2f7df1a94bdc854241f34563f360e194bf0c5f6255167ae0c8"},"schema_version":"1.0","source":{"id":"2210.05494","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05494","created_at":"2026-07-05T05:05:17Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05494v1","created_at":"2026-07-05T05:05:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05494","created_at":"2026-07-05T05:05:17Z"},{"alias_kind":"pith_short_12","alias_value":"GIBUAKEVX3PF","created_at":"2026-07-05T05:05:17Z"},{"alias_kind":"pith_short_16","alias_value":"GIBUAKEVX3PFAFZB","created_at":"2026-07-05T05:05:17Z"},{"alias_kind":"pith_short_8","alias_value":"GIBUAKEV","created_at":"2026-07-05T05:05:17Z"}],"graph_snapshots":[{"event_id":"sha256:df43968107379ea8f77d52238c1db5ea4dddac0ce685fcbdcd48963c32fb5996","target":"graph","created_at":"2026-07-05T05:05:17Z","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/2210.05494/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Can we relocalize in a scene represented by a single reference image? Standard visual relocalization requires hundreds of images and scale calibration to build a scene-specific 3D map. In contrast, we propose Map-free Relocalization, i.e., using only one photo of a scene to enable instant, metric scaled relocalization. Existing datasets are not suitable to benchmark map-free relocalization, due to their focus on large scenes or their limited variability. Thus, we have constructed a new dataset of 655 small places of interest, such as sculptures, murals and fountains, collected worldwide. Each ","authors_text":"\\'Aron Monszpart, Daniyar Turmukhambetov, Eduardo Arnold, Eric Brachmann, Guillermo Garcia-Hernando, Jamie Wynn, Sara Vicente, Victor Adrian Prisacariu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T14:49:49Z","title":"Map-free Visual Relocalization: Metric Pose Relative to a Single Image"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05494","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:cdcecad3b8ea146e0f72c79516daf3a4fc358eb5b22a159879a360f564dd8fcd","target":"record","created_at":"2026-07-05T05:05:17Z","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":"b418b84306e3a0a90aab56c5a2769119266b28b7e01184d990483dae2e62c906","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-11T14:49:49Z","title_canon_sha256":"b02612ec47d7ba2f7df1a94bdc854241f34563f360e194bf0c5f6255167ae0c8"},"schema_version":"1.0","source":{"id":"2210.05494","kind":"arxiv","version":1}},"canonical_sha256":"3203402895bede501721b44a9405501a5277528b5447794ea71a75961e0328a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3203402895bede501721b44a9405501a5277528b5447794ea71a75961e0328a6","first_computed_at":"2026-07-05T05:05:17.269446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:05:17.269446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mnY4rFo/30z81UBkEzIcxM8j2MqwxZS/P7oNYEzo6d1WI7Z2X7fEk8x+i+yIIleWRKZG4K+HnNzfkLb87ZVEDA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:05:17.269947Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.05494","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cdcecad3b8ea146e0f72c79516daf3a4fc358eb5b22a159879a360f564dd8fcd","sha256:df43968107379ea8f77d52238c1db5ea4dddac0ce685fcbdcd48963c32fb5996"],"state_sha256":"52a3abbe982752add920b28e63f786afa933bafb6eab44e2da82496dfe04ed8b"}