{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:D5O7A7T5J2ZH7QRWO2VFYFPXFM","short_pith_number":"pith:D5O7A7T5","canonical_record":{"source":{"id":"1709.01664","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T03:37:12Z","cross_cats_sorted":[],"title_canon_sha256":"9727157cb5b3708e6af06d6a6157da468b039c3d8b01b2ad747bc6dea4b6d10b","abstract_canon_sha256":"2374e43c70c271d64f2727dddaf9c8501c6d0455b4c35e115640e7bf96034314"},"schema_version":"1.0"},"canonical_sha256":"1f5df07e7d4eb27fc23676aa5c15f72b09aa0eaca4b39b3e847b913caa0a367b","source":{"kind":"arxiv","id":"1709.01664","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.01664","created_at":"2026-05-18T00:35:54Z"},{"alias_kind":"arxiv_version","alias_value":"1709.01664v1","created_at":"2026-05-18T00:35:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01664","created_at":"2026-05-18T00:35:54Z"},{"alias_kind":"pith_short_12","alias_value":"D5O7A7T5J2ZH","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"D5O7A7T5J2ZH7QRW","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"D5O7A7T5","created_at":"2026-05-18T12:31:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:D5O7A7T5J2ZH7QRWO2VFYFPXFM","target":"record","payload":{"canonical_record":{"source":{"id":"1709.01664","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T03:37:12Z","cross_cats_sorted":[],"title_canon_sha256":"9727157cb5b3708e6af06d6a6157da468b039c3d8b01b2ad747bc6dea4b6d10b","abstract_canon_sha256":"2374e43c70c271d64f2727dddaf9c8501c6d0455b4c35e115640e7bf96034314"},"schema_version":"1.0"},"canonical_sha256":"1f5df07e7d4eb27fc23676aa5c15f72b09aa0eaca4b39b3e847b913caa0a367b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:35:54.651206Z","signature_b64":"LhyiU6wE1Lp8Jb7E9sExTDvKqAoSG3u2vkN2Tkaqj/xfJH+yjtQsQEv0FUip2YR1qp1XrVF2R/tEDARmV2W7Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f5df07e7d4eb27fc23676aa5c15f72b09aa0eaca4b39b3e847b913caa0a367b","last_reissued_at":"2026-05-18T00:35:54.650730Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:35:54.650730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1709.01664","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":"2026-05-18T00:35:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eMli274Mq03rsXG2NxLfY0sJn4gir/oDgfFhAIJkXaYJ8GZ1EePSTVuCLty4hMuKzZCtLXb5OZm7MqfEt2QBBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T10:47:05.345489Z"},"content_sha256":"75337f22841f70a62ccd3e8f5ade3f485717a8038c9c43534075a37be8dc6b13","schema_version":"1.0","event_id":"sha256:75337f22841f70a62ccd3e8f5ade3f485717a8038c9c43534075a37be8dc6b13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:D5O7A7T5J2ZH7QRWO2VFYFPXFM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Arafat Abu Mallouh, Buket D. Barkana, Zakariya Qawaqneh","submitted_at":"2017-09-06T03:37:12Z","abstract_excerpt":"Automatic age estimation from real-world and unconstrained face images is rapidly gaining importance. In our proposed work, a deep CNN model that was trained on a database for face recognition task is used to estimate the age information on the Adience database. This paper has three significant contributions in this field. (1) This work proves that a CNN model, which was trained for face recognition task, can be utilized for age estimation to improve performance; (2) Over fitting problem can be overcome by employing a pretrained CNN on a large database for face recognition task; (3) Not only t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01664","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":"2026-05-18T00:35:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ggf4n2f2mtDLksjsOWuA3RvcEiNjtg+4UgmyzKBAPr4kxLqXV0Wog7Dn45a7nTdoFUxEDHhJi9eae83yZGPlBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T10:47:05.345960Z"},"content_sha256":"8e741f7ad7cbd045a787aa079fbf21535ed8b32efd3ba27cd88fc12c24c32fa1","schema_version":"1.0","event_id":"sha256:8e741f7ad7cbd045a787aa079fbf21535ed8b32efd3ba27cd88fc12c24c32fa1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM/bundle.json","state_url":"https://pith.science/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM/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":"2026-08-19T10:47:05Z","links":{"resolver":"https://pith.science/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM","bundle":"https://pith.science/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM/bundle.json","state":"https://pith.science/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/D5O7A7T5J2ZH7QRWO2VFYFPXFM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:D5O7A7T5J2ZH7QRWO2VFYFPXFM","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":"2374e43c70c271d64f2727dddaf9c8501c6d0455b4c35e115640e7bf96034314","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T03:37:12Z","title_canon_sha256":"9727157cb5b3708e6af06d6a6157da468b039c3d8b01b2ad747bc6dea4b6d10b"},"schema_version":"1.0","source":{"id":"1709.01664","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.01664","created_at":"2026-05-18T00:35:54Z"},{"alias_kind":"arxiv_version","alias_value":"1709.01664v1","created_at":"2026-05-18T00:35:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.01664","created_at":"2026-05-18T00:35:54Z"},{"alias_kind":"pith_short_12","alias_value":"D5O7A7T5J2ZH","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_16","alias_value":"D5O7A7T5J2ZH7QRW","created_at":"2026-05-18T12:31:10Z"},{"alias_kind":"pith_short_8","alias_value":"D5O7A7T5","created_at":"2026-05-18T12:31:10Z"}],"graph_snapshots":[{"event_id":"sha256:8e741f7ad7cbd045a787aa079fbf21535ed8b32efd3ba27cd88fc12c24c32fa1","target":"graph","created_at":"2026-05-18T00:35:54Z","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":"Automatic age estimation from real-world and unconstrained face images is rapidly gaining importance. In our proposed work, a deep CNN model that was trained on a database for face recognition task is used to estimate the age information on the Adience database. This paper has three significant contributions in this field. (1) This work proves that a CNN model, which was trained for face recognition task, can be utilized for age estimation to improve performance; (2) Over fitting problem can be overcome by employing a pretrained CNN on a large database for face recognition task; (3) Not only t","authors_text":"Arafat Abu Mallouh, Buket D. Barkana, Zakariya Qawaqneh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T03:37:12Z","title":"Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.01664","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":"sha256:75337f22841f70a62ccd3e8f5ade3f485717a8038c9c43534075a37be8dc6b13","target":"record","created_at":"2026-05-18T00:35:54Z","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":"2374e43c70c271d64f2727dddaf9c8501c6d0455b4c35e115640e7bf96034314","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-06T03:37:12Z","title_canon_sha256":"9727157cb5b3708e6af06d6a6157da468b039c3d8b01b2ad747bc6dea4b6d10b"},"schema_version":"1.0","source":{"id":"1709.01664","kind":"arxiv","version":1}},"canonical_sha256":"1f5df07e7d4eb27fc23676aa5c15f72b09aa0eaca4b39b3e847b913caa0a367b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1f5df07e7d4eb27fc23676aa5c15f72b09aa0eaca4b39b3e847b913caa0a367b","first_computed_at":"2026-05-18T00:35:54.650730Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:54.650730Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LhyiU6wE1Lp8Jb7E9sExTDvKqAoSG3u2vkN2Tkaqj/xfJH+yjtQsQEv0FUip2YR1qp1XrVF2R/tEDARmV2W7Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:54.651206Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.01664","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:75337f22841f70a62ccd3e8f5ade3f485717a8038c9c43534075a37be8dc6b13","sha256:8e741f7ad7cbd045a787aa079fbf21535ed8b32efd3ba27cd88fc12c24c32fa1"],"state_sha256":"d0a9ed61a48f0b007b05ce5209330b7428f993c92d33576511ebf307916b9429"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Lqtp32/GBd5vHQyppwYHJo5QQ7lfgq5GIuVVisoerjo1bSH3o8kYExBvRrNfvFBDCRMbGw5fZ0TV8sIYhd94CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T10:47:05.349682Z","bundle_sha256":"e74cee6dafdb3ba17118297a7159cb2dac2b1e5a99dbc6e0bed22a83159c56db"}}