{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:WGRA7Y6NB7JU35GN3SHLJ4KSW7","short_pith_number":"pith:WGRA7Y6N","canonical_record":{"source":{"id":"1703.03230","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-09T11:27:26Z","cross_cats_sorted":[],"title_canon_sha256":"7b9ab8846ed8378c2c59c9d5a704caea8ec3da42dd068004ce64190a32904e68","abstract_canon_sha256":"e5e767c4ea451422680fabee2666703e49f57ae358708d513cffb61812e2e43b"},"schema_version":"1.0"},"canonical_sha256":"b1a20fe3cd0fd34df4cddc8eb4f152b7c9e4ad2043934bfa1fc7a69d5a3d8809","source":{"kind":"arxiv","id":"1703.03230","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03230","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03230v4","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03230","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"WGRA7Y6NB7JU","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WGRA7Y6NB7JU35GN","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WGRA7Y6N","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:WGRA7Y6NB7JU35GN3SHLJ4KSW7","target":"record","payload":{"canonical_record":{"source":{"id":"1703.03230","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-09T11:27:26Z","cross_cats_sorted":[],"title_canon_sha256":"7b9ab8846ed8378c2c59c9d5a704caea8ec3da42dd068004ce64190a32904e68","abstract_canon_sha256":"e5e767c4ea451422680fabee2666703e49f57ae358708d513cffb61812e2e43b"},"schema_version":"1.0"},"canonical_sha256":"b1a20fe3cd0fd34df4cddc8eb4f152b7c9e4ad2043934bfa1fc7a69d5a3d8809","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:08:31.560368Z","signature_b64":"vHyt12rl/fY7kuVIwuLq+TzCI6pXxYqdaSfUmE7MDVu3kPVBoxRAJWHk55WHbzMI/A8f4lbcM7nMHnxPWRvGDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1a20fe3cd0fd34df4cddc8eb4f152b7c9e4ad2043934bfa1fc7a69d5a3d8809","last_reissued_at":"2026-05-18T00:08:31.559683Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:08:31.559683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.03230","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:08:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JRmYIxvnkgeOQGOnqhMMLaTUyHeo955bHL4PLHJUxaUapg3sTzOvR8muhY8uaA4lyhN2v55R6dTw9kyZX0DLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:49:31.162700Z"},"content_sha256":"3d55efcfb2ef6b128b52eec86a4d8699ee1ebd0586d456d8c2db260865ada864","schema_version":"1.0","event_id":"sha256:3d55efcfb2ef6b128b52eec86a4d8699ee1ebd0586d456d8c2db260865ada864"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:WGRA7Y6NB7JU35GN3SHLJ4KSW7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"WebCaricature: a benchmark for caricature recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hujun Yin, Jing Huo, Wenbin Li, Yang Gao, Yinghuan Shi","submitted_at":"2017-03-09T11:27:26Z","abstract_excerpt":"Studying caricature recognition is fundamentally important to understanding of face perception. However, little research has been conducted in the computer vision community, largely due to the shortage of suitable datasets. In this paper, a new caricature dataset is built, with the objective to facilitate research in caricature recognition. All the caricatures and face images were collected from the Web. Compared with two existing datasets, this dataset is much more challenging, with a much greater number of available images, artistic styles and larger intra-personal variations. Evaluation pro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03230","kind":"arxiv","version":4},"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":"2026-05-18T00:08:31Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zljLm/jveHZzwfgmjbx1FZAVnaCWeUcWJaHK22k/gWAloV1w6nBZPSlI7Ep9BsmDfDnReI1ejGbh9kG8LeIuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T14:49:31.163075Z"},"content_sha256":"60af81170313abfcb095eb42b80dd8002800a31c6505f7092fe5ba65cbeb53f7","schema_version":"1.0","event_id":"sha256:60af81170313abfcb095eb42b80dd8002800a31c6505f7092fe5ba65cbeb53f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7/bundle.json","state_url":"https://pith.science/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7/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":"2026-05-26T14:49:31Z","links":{"resolver":"https://pith.science/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7","bundle":"https://pith.science/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7/bundle.json","state":"https://pith.science/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WGRA7Y6NB7JU35GN3SHLJ4KSW7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WGRA7Y6NB7JU35GN3SHLJ4KSW7","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":"e5e767c4ea451422680fabee2666703e49f57ae358708d513cffb61812e2e43b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-09T11:27:26Z","title_canon_sha256":"7b9ab8846ed8378c2c59c9d5a704caea8ec3da42dd068004ce64190a32904e68"},"schema_version":"1.0","source":{"id":"1703.03230","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03230","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03230v4","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03230","created_at":"2026-05-18T00:08:31Z"},{"alias_kind":"pith_short_12","alias_value":"WGRA7Y6NB7JU","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WGRA7Y6NB7JU35GN","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WGRA7Y6N","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:60af81170313abfcb095eb42b80dd8002800a31c6505f7092fe5ba65cbeb53f7","target":"graph","created_at":"2026-05-18T00:08:31Z","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":"Studying caricature recognition is fundamentally important to understanding of face perception. However, little research has been conducted in the computer vision community, largely due to the shortage of suitable datasets. In this paper, a new caricature dataset is built, with the objective to facilitate research in caricature recognition. All the caricatures and face images were collected from the Web. Compared with two existing datasets, this dataset is much more challenging, with a much greater number of available images, artistic styles and larger intra-personal variations. Evaluation pro","authors_text":"Hujun Yin, Jing Huo, Wenbin Li, Yang Gao, Yinghuan Shi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-09T11:27:26Z","title":"WebCaricature: a benchmark for caricature recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03230","kind":"arxiv","version":4},"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":"sha256:3d55efcfb2ef6b128b52eec86a4d8699ee1ebd0586d456d8c2db260865ada864","target":"record","created_at":"2026-05-18T00:08:31Z","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":"e5e767c4ea451422680fabee2666703e49f57ae358708d513cffb61812e2e43b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-09T11:27:26Z","title_canon_sha256":"7b9ab8846ed8378c2c59c9d5a704caea8ec3da42dd068004ce64190a32904e68"},"schema_version":"1.0","source":{"id":"1703.03230","kind":"arxiv","version":4}},"canonical_sha256":"b1a20fe3cd0fd34df4cddc8eb4f152b7c9e4ad2043934bfa1fc7a69d5a3d8809","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1a20fe3cd0fd34df4cddc8eb4f152b7c9e4ad2043934bfa1fc7a69d5a3d8809","first_computed_at":"2026-05-18T00:08:31.559683Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:08:31.559683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vHyt12rl/fY7kuVIwuLq+TzCI6pXxYqdaSfUmE7MDVu3kPVBoxRAJWHk55WHbzMI/A8f4lbcM7nMHnxPWRvGDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:08:31.560368Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.03230","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3d55efcfb2ef6b128b52eec86a4d8699ee1ebd0586d456d8c2db260865ada864","sha256:60af81170313abfcb095eb42b80dd8002800a31c6505f7092fe5ba65cbeb53f7"],"state_sha256":"af59dba741578d6ef9e9266df85383fac9637301e89fd10deea1c5851ae8d0fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yUSyqrE13KASf8+YB4MKyducIPLC98gWd11bfroR6pgarcTMxdR9+nZAFXIP0Ytbd+H741ry18x3+gUwUpuBDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T14:49:31.165859Z","bundle_sha256":"263f1b1202372dda41c9c5d9f6d69f5d7240a9f43aed3c56d5794c1afd679993"}}