{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:E43H4PW6XIT4LTAP6NIT6UUGEK","short_pith_number":"pith:E43H4PW6","canonical_record":{"source":{"id":"1704.07809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-25T17:37:48Z","cross_cats_sorted":[],"title_canon_sha256":"8bf2974c370d1ddcfcca097e3822cec5749b281ecd84bbd8266db388fdff0fd3","abstract_canon_sha256":"d38f65a3bbf0a58715228005de3faf47e66e1748da881cca99b14c08ebfd24eb"},"schema_version":"1.0"},"canonical_sha256":"27367e3edeba27c5cc0ff3513f5286229e749d0ff7433cfc553bf67515cb7040","source":{"kind":"arxiv","id":"1704.07809","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.07809","created_at":"2026-05-18T00:45:36Z"},{"alias_kind":"arxiv_version","alias_value":"1704.07809v1","created_at":"2026-05-18T00:45:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.07809","created_at":"2026-05-18T00:45:36Z"},{"alias_kind":"pith_short_12","alias_value":"E43H4PW6XIT4","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"E43H4PW6XIT4LTAP","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"E43H4PW6","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:E43H4PW6XIT4LTAP6NIT6UUGEK","target":"record","payload":{"canonical_record":{"source":{"id":"1704.07809","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-25T17:37:48Z","cross_cats_sorted":[],"title_canon_sha256":"8bf2974c370d1ddcfcca097e3822cec5749b281ecd84bbd8266db388fdff0fd3","abstract_canon_sha256":"d38f65a3bbf0a58715228005de3faf47e66e1748da881cca99b14c08ebfd24eb"},"schema_version":"1.0"},"canonical_sha256":"27367e3edeba27c5cc0ff3513f5286229e749d0ff7433cfc553bf67515cb7040","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:45:36.838036Z","signature_b64":"Rae9YPGYbwvZw4wmzwqGpbv+O9J8oXXqaWYefNR9wMs8LIo7myEs11i3G6LsyoG3ffyiIRl5+KXbsM0uHrbhDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27367e3edeba27c5cc0ff3513f5286229e749d0ff7433cfc553bf67515cb7040","last_reissued_at":"2026-05-18T00:45:36.836870Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:45:36.836870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1704.07809","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":"2026-05-18T00:45:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Xng22c7PJmrgwYCZFeykWa3+q694bdGj0Wn2qyMWPkjcHkwAlGLywOqYaJ+cW/Fo/5vyHLqa4roRNfF+HdqBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T02:37:34.033674Z"},"content_sha256":"ee483a1f584f46e3d628a8c5c21beb697d531398a4bf3e4af4c2a005bcd963bf","schema_version":"1.0","event_id":"sha256:ee483a1f584f46e3d628a8c5c21beb697d531398a4bf3e4af4c2a005bcd963bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:E43H4PW6XIT4LTAP6NIT6UUGEK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hand Keypoint Detection in Single Images using Multiview Bootstrapping","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanbyul Joo, Iain Matthews, Tomas Simon, Yaser Sheikh","submitted_at":"2017-04-25T17:37:48Z","abstract_excerpt":"We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. We call this procedure multiview bootstrapping: first, an initial keypoint detector is used to produce noisy labels in multiple views of the hand. The noisy detections are then triangulated in 3D using multiview geometry or marked as outliers. Finally, the reprojected triangulations are used as new labeled training data to improve the detector. We repeat this process, generating more labeled data in each iteration. We derive a result an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.07809","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":"2026-05-18T00:45:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CgKBG6s3v7smB68IeApbVUlxgUOB68vwtNNNPJLT/3GABlJwLWn2XDAiM+DDKMsM+BhCH2Y9eoL0S/XY8yKBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T02:37:34.034434Z"},"content_sha256":"a7572258b8359bf74e9377853dabccd84ffcb90e46a6d3b50c4b388ad7817f66","schema_version":"1.0","event_id":"sha256:a7572258b8359bf74e9377853dabccd84ffcb90e46a6d3b50c4b388ad7817f66"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E43H4PW6XIT4LTAP6NIT6UUGEK/bundle.json","state_url":"https://pith.science/pith/E43H4PW6XIT4LTAP6NIT6UUGEK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E43H4PW6XIT4LTAP6NIT6UUGEK/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":"2026-05-31T02:37:34Z","links":{"resolver":"https://pith.science/pith/E43H4PW6XIT4LTAP6NIT6UUGEK","bundle":"https://pith.science/pith/E43H4PW6XIT4LTAP6NIT6UUGEK/bundle.json","state":"https://pith.science/pith/E43H4PW6XIT4LTAP6NIT6UUGEK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E43H4PW6XIT4LTAP6NIT6UUGEK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:E43H4PW6XIT4LTAP6NIT6UUGEK","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":"d38f65a3bbf0a58715228005de3faf47e66e1748da881cca99b14c08ebfd24eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-25T17:37:48Z","title_canon_sha256":"8bf2974c370d1ddcfcca097e3822cec5749b281ecd84bbd8266db388fdff0fd3"},"schema_version":"1.0","source":{"id":"1704.07809","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.07809","created_at":"2026-05-18T00:45:36Z"},{"alias_kind":"arxiv_version","alias_value":"1704.07809v1","created_at":"2026-05-18T00:45:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.07809","created_at":"2026-05-18T00:45:36Z"},{"alias_kind":"pith_short_12","alias_value":"E43H4PW6XIT4","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"E43H4PW6XIT4LTAP","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"E43H4PW6","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:a7572258b8359bf74e9377853dabccd84ffcb90e46a6d3b50c4b388ad7817f66","target":"graph","created_at":"2026-05-18T00:45:36Z","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":"We present an approach that uses a multi-camera system to train fine-grained detectors for keypoints that are prone to occlusion, such as the joints of a hand. We call this procedure multiview bootstrapping: first, an initial keypoint detector is used to produce noisy labels in multiple views of the hand. The noisy detections are then triangulated in 3D using multiview geometry or marked as outliers. Finally, the reprojected triangulations are used as new labeled training data to improve the detector. We repeat this process, generating more labeled data in each iteration. We derive a result an","authors_text":"Hanbyul Joo, Iain Matthews, Tomas Simon, Yaser Sheikh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-25T17:37:48Z","title":"Hand Keypoint Detection in Single Images using Multiview Bootstrapping"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.07809","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:ee483a1f584f46e3d628a8c5c21beb697d531398a4bf3e4af4c2a005bcd963bf","target":"record","created_at":"2026-05-18T00:45:36Z","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":"d38f65a3bbf0a58715228005de3faf47e66e1748da881cca99b14c08ebfd24eb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-04-25T17:37:48Z","title_canon_sha256":"8bf2974c370d1ddcfcca097e3822cec5749b281ecd84bbd8266db388fdff0fd3"},"schema_version":"1.0","source":{"id":"1704.07809","kind":"arxiv","version":1}},"canonical_sha256":"27367e3edeba27c5cc0ff3513f5286229e749d0ff7433cfc553bf67515cb7040","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27367e3edeba27c5cc0ff3513f5286229e749d0ff7433cfc553bf67515cb7040","first_computed_at":"2026-05-18T00:45:36.836870Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:45:36.836870Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rae9YPGYbwvZw4wmzwqGpbv+O9J8oXXqaWYefNR9wMs8LIo7myEs11i3G6LsyoG3ffyiIRl5+KXbsM0uHrbhDA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:45:36.838036Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.07809","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee483a1f584f46e3d628a8c5c21beb697d531398a4bf3e4af4c2a005bcd963bf","sha256:a7572258b8359bf74e9377853dabccd84ffcb90e46a6d3b50c4b388ad7817f66"],"state_sha256":"be26de3479ffde16becf5c240dfbeaad84c2da9750789518c82c5cbac2dba468"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SZV3xWpvDLCfSDvlUyGMHoV8+tXdnzyWsG2Dtvq9FP7vavs7NLCNy/lovi1PUxVose5AILn5egTnf/eGU8gtBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T02:37:34.038522Z","bundle_sha256":"b449a6bf03a5895c486f66e9d3064716cf479c48761bde3c90a8968142d24b9a"}}