{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:TABBAV3WTIVUTKXGVTNMMGFBLY","short_pith_number":"pith:TABBAV3W","canonical_record":{"source":{"id":"1705.04282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-05T05:47:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c97931daff64d7e332977693c385f7519d40f0435706f43850ad7aabd0a218dc","abstract_canon_sha256":"09233814497fd80d451ce6c27796185202e7d9a9baa91f38d002cea5f76553d2"},"schema_version":"1.0"},"canonical_sha256":"98021057769a2b49aae6acdac618a15e0f7d586d1e5829c450bfbf6e28d51aae","source":{"kind":"arxiv","id":"1705.04282","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.04282","created_at":"2026-05-18T00:44:39Z"},{"alias_kind":"arxiv_version","alias_value":"1705.04282v1","created_at":"2026-05-18T00:44:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.04282","created_at":"2026-05-18T00:44:39Z"},{"alias_kind":"pith_short_12","alias_value":"TABBAV3WTIVU","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"TABBAV3WTIVUTKXG","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"TABBAV3W","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:TABBAV3WTIVUTKXGVTNMMGFBLY","target":"record","payload":{"canonical_record":{"source":{"id":"1705.04282","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-05T05:47:15Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c97931daff64d7e332977693c385f7519d40f0435706f43850ad7aabd0a218dc","abstract_canon_sha256":"09233814497fd80d451ce6c27796185202e7d9a9baa91f38d002cea5f76553d2"},"schema_version":"1.0"},"canonical_sha256":"98021057769a2b49aae6acdac618a15e0f7d586d1e5829c450bfbf6e28d51aae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:39.325732Z","signature_b64":"2MdoHJIhgpXiKTW+AewFNuNKUh4J24Ikc4dUr0tgCciVXbUYFI+ngkL9ZDMM9lBu7CMAzYNLA3nisf7tMlD5BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98021057769a2b49aae6acdac618a15e0f7d586d1e5829c450bfbf6e28d51aae","last_reissued_at":"2026-05-18T00:44:39.325289Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:39.325289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.04282","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":"2026-05-18T00:44:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XjGZkEBWvx7Vb8P6XVxxaiygr2Qu5WOy99qP7pmzgJoMRLnh13gIb4EtNn0BvAGQ5LsHOx0CGVCEfkXKBYQIBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:21:24.016029Z"},"content_sha256":"4de2d9405a80f33176fc1623876ec6e1f4c25e9260e2c60037e2fd3cd2167253","schema_version":"1.0","event_id":"sha256:4de2d9405a80f33176fc1623876ec6e1f4c25e9260e2c60037e2fd3cd2167253"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:TABBAV3WTIVUTKXGVTNMMGFBLY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning to see people like people","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Amanda Song, Chad Atalla, Garrison Cottrell, Linjie Li","submitted_at":"2017-05-05T05:47:15Z","abstract_excerpt":"Humans make complex inferences on faces, ranging from objective properties (gender, ethnicity, expression, age, identity, etc) to subjective judgments (facial attractiveness, trustworthiness, sociability, friendliness, etc). While the objective aspects of face perception have been extensively studied, relatively fewer computational models have been developed for the social impressions of faces. Bridging this gap, we develop a method to predict human impressions of faces in 40 subjective social dimensions, using deep representations from state-of-the-art neural networks. We find that model perf"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.04282","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":"2026-05-18T00:44:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3jx7zZ46uimeZp710vGm/3JjzG8pNHOcNRAFk5S2ODC1kF+wZQ+1gm0QmGElVcqHNmVKug4+X34HxP97fi2OBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T13:21:24.016795Z"},"content_sha256":"e8f29d759ee4a3870437aa0b8d137ba3f63078685da71f59f239fd318c829cd8","schema_version":"1.0","event_id":"sha256:e8f29d759ee4a3870437aa0b8d137ba3f63078685da71f59f239fd318c829cd8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TABBAV3WTIVUTKXGVTNMMGFBLY/bundle.json","state_url":"https://pith.science/pith/TABBAV3WTIVUTKXGVTNMMGFBLY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TABBAV3WTIVUTKXGVTNMMGFBLY/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":"2026-06-10T13:21:24Z","links":{"resolver":"https://pith.science/pith/TABBAV3WTIVUTKXGVTNMMGFBLY","bundle":"https://pith.science/pith/TABBAV3WTIVUTKXGVTNMMGFBLY/bundle.json","state":"https://pith.science/pith/TABBAV3WTIVUTKXGVTNMMGFBLY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TABBAV3WTIVUTKXGVTNMMGFBLY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:TABBAV3WTIVUTKXGVTNMMGFBLY","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":"09233814497fd80d451ce6c27796185202e7d9a9baa91f38d002cea5f76553d2","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-05T05:47:15Z","title_canon_sha256":"c97931daff64d7e332977693c385f7519d40f0435706f43850ad7aabd0a218dc"},"schema_version":"1.0","source":{"id":"1705.04282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.04282","created_at":"2026-05-18T00:44:39Z"},{"alias_kind":"arxiv_version","alias_value":"1705.04282v1","created_at":"2026-05-18T00:44:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.04282","created_at":"2026-05-18T00:44:39Z"},{"alias_kind":"pith_short_12","alias_value":"TABBAV3WTIVU","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"TABBAV3WTIVUTKXG","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"TABBAV3W","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:e8f29d759ee4a3870437aa0b8d137ba3f63078685da71f59f239fd318c829cd8","target":"graph","created_at":"2026-05-18T00:44:39Z","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":"Humans make complex inferences on faces, ranging from objective properties (gender, ethnicity, expression, age, identity, etc) to subjective judgments (facial attractiveness, trustworthiness, sociability, friendliness, etc). While the objective aspects of face perception have been extensively studied, relatively fewer computational models have been developed for the social impressions of faces. Bridging this gap, we develop a method to predict human impressions of faces in 40 subjective social dimensions, using deep representations from state-of-the-art neural networks. We find that model perf","authors_text":"Amanda Song, Chad Atalla, Garrison Cottrell, Linjie Li","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-05T05:47:15Z","title":"Learning to see people like people"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.04282","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":"sha256:4de2d9405a80f33176fc1623876ec6e1f4c25e9260e2c60037e2fd3cd2167253","target":"record","created_at":"2026-05-18T00:44:39Z","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":"09233814497fd80d451ce6c27796185202e7d9a9baa91f38d002cea5f76553d2","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-05T05:47:15Z","title_canon_sha256":"c97931daff64d7e332977693c385f7519d40f0435706f43850ad7aabd0a218dc"},"schema_version":"1.0","source":{"id":"1705.04282","kind":"arxiv","version":1}},"canonical_sha256":"98021057769a2b49aae6acdac618a15e0f7d586d1e5829c450bfbf6e28d51aae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"98021057769a2b49aae6acdac618a15e0f7d586d1e5829c450bfbf6e28d51aae","first_computed_at":"2026-05-18T00:44:39.325289Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:39.325289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2MdoHJIhgpXiKTW+AewFNuNKUh4J24Ikc4dUr0tgCciVXbUYFI+ngkL9ZDMM9lBu7CMAzYNLA3nisf7tMlD5BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:39.325732Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.04282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4de2d9405a80f33176fc1623876ec6e1f4c25e9260e2c60037e2fd3cd2167253","sha256:e8f29d759ee4a3870437aa0b8d137ba3f63078685da71f59f239fd318c829cd8"],"state_sha256":"23476dd8585a4861550773a582470d05b13d01f1e6fdf857770e2ac4559811ce"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kd1yO1E5LKmTzLGCnLGCrrtwA4RZyXmxGyLMuNhfWybEJ7H4NoUiCztis4eQ0meRsMF/jO/1QAh53Lnv8SDQDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T13:21:24.021477Z","bundle_sha256":"fb1b08356f52de83b15dd2babbda592c40f02f4a5868184cc532e286fa2dc5c9"}}