{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:CKNE2WS7G5XRWJSAPOUTJOITEQ","short_pith_number":"pith:CKNE2WS7","canonical_record":{"source":{"id":"2003.01587","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T15:20:57Z","cross_cats_sorted":[],"title_canon_sha256":"eccc2c66137f92003c6b6b8e96f59fab074bab218f3174269ee5df3ee975fa4e","abstract_canon_sha256":"eedd9e76369ebf111d634c1b17a9ea564251d719b19644b6d09c51d7276a768d"},"schema_version":"1.0"},"canonical_sha256":"129a4d5a5f376f1b26407ba934b913240df5dd85b11998ba7dcb33a8830bccd5","source":{"kind":"arxiv","id":"2003.01587","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.01587","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"arxiv_version","alias_value":"2003.01587v5","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.01587","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"pith_short_12","alias_value":"CKNE2WS7G5XR","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"pith_short_16","alias_value":"CKNE2WS7G5XRWJSA","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"pith_short_8","alias_value":"CKNE2WS7","created_at":"2026-07-05T02:14:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:CKNE2WS7G5XRWJSAPOUTJOITEQ","target":"record","payload":{"canonical_record":{"source":{"id":"2003.01587","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T15:20:57Z","cross_cats_sorted":[],"title_canon_sha256":"eccc2c66137f92003c6b6b8e96f59fab074bab218f3174269ee5df3ee975fa4e","abstract_canon_sha256":"eedd9e76369ebf111d634c1b17a9ea564251d719b19644b6d09c51d7276a768d"},"schema_version":"1.0"},"canonical_sha256":"129a4d5a5f376f1b26407ba934b913240df5dd85b11998ba7dcb33a8830bccd5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:14:28.410096Z","signature_b64":"R7T/MjSNamqPk3sd9oQWd+e6oZsAnZw/kiFH2EVBroIqKmiln8M6VeXZq8SUPG72QOUgm+LQzpW3AZ6lYisFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"129a4d5a5f376f1b26407ba934b913240df5dd85b11998ba7dcb33a8830bccd5","last_reissued_at":"2026-07-05T02:14:28.409611Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:14:28.409611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2003.01587","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:14:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tMDNfng5dx4I4uRssQn6y6/SNax6/9KOh9hPbRZ93n/IDynz41luq8wxHvcazzK46d+hHsUgxx6QxPKTpItgBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:36:47.222826Z"},"content_sha256":"74ea4311462aca1deb17bf955d2e6f747f1d3ede7b81f4a28c2fd4f76ec16a2c","schema_version":"1.0","event_id":"sha256:74ea4311462aca1deb17bf955d2e6f747f1d3ede7b81f4a28c2fd4f76ec16a2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:CKNE2WS7G5XRWJSAPOUTJOITEQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Image Matching across Wide Baselines: From Paper to Practice","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Anastasiia Mishchuk, Dmytro Mishkin, Eduard Trulls, Jiri Matas, Kwang Moo Yi, Pascal Fua, Yuhe Jin","submitted_at":"2020-03-03T15:20:57Z","abstract_excerpt":"We introduce a comprehensive benchmark for local features and robust estimation algorithms, focusing on the downstream task -- the accuracy of the reconstructed camera pose -- as our primary metric. Our pipeline's modular structure allows easy integration, configuration, and combination of different methods and heuristics. This is demonstrated by embedding dozens of popular algorithms and evaluating them, from seminal works to the cutting edge of machine learning research. We show that with proper settings, classical solutions may still outperform the perceived state of the art.\n  Besides esta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.01587","kind":"arxiv","version":5},"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/2003.01587/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":"2026-07-05T02:14:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ud999gzcwVOiCcEDYGqx+Ls+2Z52rZ4h7L5cGPgoqHtmPnkwjs3hR0tIJ9/Ff7SgJ0uvQKrHyQNhU++gV6vMBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T16:36:47.223194Z"},"content_sha256":"e7ad03a5ca10e15b7e34df2c385b09c7c67cc3c9b1567efe16fd0106b4379505","schema_version":"1.0","event_id":"sha256:e7ad03a5ca10e15b7e34df2c385b09c7c67cc3c9b1567efe16fd0106b4379505"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ/bundle.json","state_url":"https://pith.science/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ/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":"2026-07-06T16:36:47Z","links":{"resolver":"https://pith.science/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ","bundle":"https://pith.science/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ/bundle.json","state":"https://pith.science/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKNE2WS7G5XRWJSAPOUTJOITEQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CKNE2WS7G5XRWJSAPOUTJOITEQ","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":"eedd9e76369ebf111d634c1b17a9ea564251d719b19644b6d09c51d7276a768d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T15:20:57Z","title_canon_sha256":"eccc2c66137f92003c6b6b8e96f59fab074bab218f3174269ee5df3ee975fa4e"},"schema_version":"1.0","source":{"id":"2003.01587","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2003.01587","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"arxiv_version","alias_value":"2003.01587v5","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2003.01587","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"pith_short_12","alias_value":"CKNE2WS7G5XR","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"pith_short_16","alias_value":"CKNE2WS7G5XRWJSA","created_at":"2026-07-05T02:14:28Z"},{"alias_kind":"pith_short_8","alias_value":"CKNE2WS7","created_at":"2026-07-05T02:14:28Z"}],"graph_snapshots":[{"event_id":"sha256:e7ad03a5ca10e15b7e34df2c385b09c7c67cc3c9b1567efe16fd0106b4379505","target":"graph","created_at":"2026-07-05T02:14:28Z","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/2003.01587/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a comprehensive benchmark for local features and robust estimation algorithms, focusing on the downstream task -- the accuracy of the reconstructed camera pose -- as our primary metric. Our pipeline's modular structure allows easy integration, configuration, and combination of different methods and heuristics. This is demonstrated by embedding dozens of popular algorithms and evaluating them, from seminal works to the cutting edge of machine learning research. We show that with proper settings, classical solutions may still outperform the perceived state of the art.\n  Besides esta","authors_text":"Anastasiia Mishchuk, Dmytro Mishkin, Eduard Trulls, Jiri Matas, Kwang Moo Yi, Pascal Fua, Yuhe Jin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T15:20:57Z","title":"Image Matching across Wide Baselines: From Paper to Practice"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2003.01587","kind":"arxiv","version":5},"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":"sha256:74ea4311462aca1deb17bf955d2e6f747f1d3ede7b81f4a28c2fd4f76ec16a2c","target":"record","created_at":"2026-07-05T02:14:28Z","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":"eedd9e76369ebf111d634c1b17a9ea564251d719b19644b6d09c51d7276a768d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-03-03T15:20:57Z","title_canon_sha256":"eccc2c66137f92003c6b6b8e96f59fab074bab218f3174269ee5df3ee975fa4e"},"schema_version":"1.0","source":{"id":"2003.01587","kind":"arxiv","version":5}},"canonical_sha256":"129a4d5a5f376f1b26407ba934b913240df5dd85b11998ba7dcb33a8830bccd5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"129a4d5a5f376f1b26407ba934b913240df5dd85b11998ba7dcb33a8830bccd5","first_computed_at":"2026-07-05T02:14:28.409611Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:14:28.409611Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R7T/MjSNamqPk3sd9oQWd+e6oZsAnZw/kiFH2EVBroIqKmiln8M6VeXZq8SUPG72QOUgm+LQzpW3AZ6lYisFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:14:28.410096Z","signed_message":"canonical_sha256_bytes"},"source_id":"2003.01587","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:74ea4311462aca1deb17bf955d2e6f747f1d3ede7b81f4a28c2fd4f76ec16a2c","sha256:e7ad03a5ca10e15b7e34df2c385b09c7c67cc3c9b1567efe16fd0106b4379505"],"state_sha256":"10f5f4c6ff55a4631021b209b82004d44c80176a962b00b38f30ca86c7a4b426"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9dXvtmBCsRZjOPP8DH18zWiyRfvSWA1WwXqD+X4Iy4vAMYYSslFZrnPyuk4+vW/QJPuM9JJ6I0TSMdOsQnRhAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T16:36:47.225556Z","bundle_sha256":"cfc7b0132458d5cff1b823d20e3e91a9e1b19f102e659263cceaaa6a490aa3be"}}