{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JXO62HUFHOG3YWGQGCTS75JMEK","short_pith_number":"pith:JXO62HUF","canonical_record":{"source":{"id":"1706.01039","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-04T07:08:16Z","cross_cats_sorted":[],"title_canon_sha256":"470d534a035ea43fefaebc78cd7126f2211dc475b61dad7e45d74a4bfb2e1d0f","abstract_canon_sha256":"2021c4cf153195efb1013b08a45472464b42eeed4ca2d3cbc19bb66d07c33888"},"schema_version":"1.0"},"canonical_sha256":"4ddded1e853b8dbc58d030a72ff52c228a422d5f60a10138c6234df334b5265f","source":{"kind":"arxiv","id":"1706.01039","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01039","created_at":"2026-05-18T00:43:07Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01039v1","created_at":"2026-05-18T00:43:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01039","created_at":"2026-05-18T00:43:07Z"},{"alias_kind":"pith_short_12","alias_value":"JXO62HUFHOG3","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JXO62HUFHOG3YWGQ","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JXO62HUF","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JXO62HUFHOG3YWGQGCTS75JMEK","target":"record","payload":{"canonical_record":{"source":{"id":"1706.01039","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-04T07:08:16Z","cross_cats_sorted":[],"title_canon_sha256":"470d534a035ea43fefaebc78cd7126f2211dc475b61dad7e45d74a4bfb2e1d0f","abstract_canon_sha256":"2021c4cf153195efb1013b08a45472464b42eeed4ca2d3cbc19bb66d07c33888"},"schema_version":"1.0"},"canonical_sha256":"4ddded1e853b8dbc58d030a72ff52c228a422d5f60a10138c6234df334b5265f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:43:07.009389Z","signature_b64":"VF61BIIvJ/40IpKYTIuTB84BZFpq42PNfZ5l4nmFONs1ZoSEcQ/AeRi0bi7yssrybDxDEHkTPWAkO6flWlrQCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ddded1e853b8dbc58d030a72ff52c228a422d5f60a10138c6234df334b5265f","last_reissued_at":"2026-05-18T00:43:07.008773Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:43:07.008773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.01039","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":"2026-05-18T00:43:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z9gVOMYJGf7LlWpmJrv8SELrHgfcSpDv1pNXCsOX51Iis8tb3RFj0TAguExM+TAO7QaRioJnKby9b2XQZyyhBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:15:26.961012Z"},"content_sha256":"651fe5d93cdcc05910cadee3993cd89ebe99d73a00b7c4ebbab59d590ef5313f","schema_version":"1.0","event_id":"sha256:651fe5d93cdcc05910cadee3993cd89ebe99d73a00b7c4ebbab59d590ef5313f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JXO62HUFHOG3YWGQGCTS75JMEK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Personalized Age Progression with Bi-level Aging Dictionary Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hanjiang Lai, Jinhui Tang, Liyan Zhang, Shuicheng Yan, Xiangbo Shu, Zechao Li","submitted_at":"2017-06-04T07:08:16Z","abstract_excerpt":"Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. Basically, for each age group, we learn an aging dictionary to reveal its aging characteristics (e.g., wrinkles), where the dictionary bases corresponding to the same index yet from two neighboring aging dictionaries form a particular aging pattern cross these two age groups, and a linear combination of all these patterns expresses a particular personalized aging process. Moreover, two factors are taken"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01039","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":"2026-05-18T00:43:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lOu+yGjm/mlAiXCBtbvpczCFWdFMS23jWvOiDHEmRXej1mNHrg+6F3k/8bzkWGrcZ4hRk31hE+NvdDIr0zpSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:15:26.961756Z"},"content_sha256":"56bab1a405f144c0810ef624b83a194379f5c37adfd5c9871269549cd4f332eb","schema_version":"1.0","event_id":"sha256:56bab1a405f144c0810ef624b83a194379f5c37adfd5c9871269549cd4f332eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JXO62HUFHOG3YWGQGCTS75JMEK/bundle.json","state_url":"https://pith.science/pith/JXO62HUFHOG3YWGQGCTS75JMEK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JXO62HUFHOG3YWGQGCTS75JMEK/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":"2026-06-10T13:15:26Z","links":{"resolver":"https://pith.science/pith/JXO62HUFHOG3YWGQGCTS75JMEK","bundle":"https://pith.science/pith/JXO62HUFHOG3YWGQGCTS75JMEK/bundle.json","state":"https://pith.science/pith/JXO62HUFHOG3YWGQGCTS75JMEK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JXO62HUFHOG3YWGQGCTS75JMEK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JXO62HUFHOG3YWGQGCTS75JMEK","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":"2021c4cf153195efb1013b08a45472464b42eeed4ca2d3cbc19bb66d07c33888","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-04T07:08:16Z","title_canon_sha256":"470d534a035ea43fefaebc78cd7126f2211dc475b61dad7e45d74a4bfb2e1d0f"},"schema_version":"1.0","source":{"id":"1706.01039","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01039","created_at":"2026-05-18T00:43:07Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01039v1","created_at":"2026-05-18T00:43:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01039","created_at":"2026-05-18T00:43:07Z"},{"alias_kind":"pith_short_12","alias_value":"JXO62HUFHOG3","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JXO62HUFHOG3YWGQ","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JXO62HUF","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:56bab1a405f144c0810ef624b83a194379f5c37adfd5c9871269549cd4f332eb","target":"graph","created_at":"2026-05-18T00:43:07Z","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":"Age progression is defined as aesthetically re-rendering the aging face at any future age for an individual face. In this work, we aim to automatically render aging faces in a personalized way. Basically, for each age group, we learn an aging dictionary to reveal its aging characteristics (e.g., wrinkles), where the dictionary bases corresponding to the same index yet from two neighboring aging dictionaries form a particular aging pattern cross these two age groups, and a linear combination of all these patterns expresses a particular personalized aging process. Moreover, two factors are taken","authors_text":"Hanjiang Lai, Jinhui Tang, Liyan Zhang, Shuicheng Yan, Xiangbo Shu, Zechao Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-04T07:08:16Z","title":"Personalized Age Progression with Bi-level Aging Dictionary Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01039","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":"sha256:651fe5d93cdcc05910cadee3993cd89ebe99d73a00b7c4ebbab59d590ef5313f","target":"record","created_at":"2026-05-18T00:43:07Z","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":"2021c4cf153195efb1013b08a45472464b42eeed4ca2d3cbc19bb66d07c33888","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-06-04T07:08:16Z","title_canon_sha256":"470d534a035ea43fefaebc78cd7126f2211dc475b61dad7e45d74a4bfb2e1d0f"},"schema_version":"1.0","source":{"id":"1706.01039","kind":"arxiv","version":1}},"canonical_sha256":"4ddded1e853b8dbc58d030a72ff52c228a422d5f60a10138c6234df334b5265f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ddded1e853b8dbc58d030a72ff52c228a422d5f60a10138c6234df334b5265f","first_computed_at":"2026-05-18T00:43:07.008773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:43:07.008773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VF61BIIvJ/40IpKYTIuTB84BZFpq42PNfZ5l4nmFONs1ZoSEcQ/AeRi0bi7yssrybDxDEHkTPWAkO6flWlrQCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:43:07.009389Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.01039","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:651fe5d93cdcc05910cadee3993cd89ebe99d73a00b7c4ebbab59d590ef5313f","sha256:56bab1a405f144c0810ef624b83a194379f5c37adfd5c9871269549cd4f332eb"],"state_sha256":"297b91f3e9fcb4794032106cf5f59ecd9318913f9aa06a364a082fe6f3ef8510"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PzjA4A7iEr1ok9TYeZwvUY+arY4/450ykdwIOfwuyXYnBWiyPOoeSpcMY5j65pVJUfpsVQcund5WN+rfOxD2Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T13:15:26.966045Z","bundle_sha256":"c92c55ef24ae2906bcf3417345f0d4342e3dec247c7bd9d60b65484b620281f7"}}