{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4USUEM2AABO4DWIYIHZI7UJQCA","short_pith_number":"pith:4USUEM2A","canonical_record":{"source":{"id":"1702.02709","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T05:30:26Z","cross_cats_sorted":[],"title_canon_sha256":"590cad5dec3f4042df10b5a56c371bd2e0351588f089faf1e6736dae72899e04","abstract_canon_sha256":"58a4ded80ef32eda46fc243fbc4738db40e1eb31d68dc1b0653844c2811e5a4e"},"schema_version":"1.0"},"canonical_sha256":"e525423340005dc1d91841f28fd130102f47819b37a461c70c1271ffe3afb8e1","source":{"kind":"arxiv","id":"1702.02709","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.02709","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"arxiv_version","alias_value":"1702.02709v1","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.02709","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"pith_short_12","alias_value":"4USUEM2AABO4","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4USUEM2AABO4DWIY","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4USUEM2A","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4USUEM2AABO4DWIYIHZI7UJQCA","target":"record","payload":{"canonical_record":{"source":{"id":"1702.02709","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T05:30:26Z","cross_cats_sorted":[],"title_canon_sha256":"590cad5dec3f4042df10b5a56c371bd2e0351588f089faf1e6736dae72899e04","abstract_canon_sha256":"58a4ded80ef32eda46fc243fbc4738db40e1eb31d68dc1b0653844c2811e5a4e"},"schema_version":"1.0"},"canonical_sha256":"e525423340005dc1d91841f28fd130102f47819b37a461c70c1271ffe3afb8e1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:51:02.680397Z","signature_b64":"en6mQ5I+KLY5uqBCI5B0SM2PiqsvjDXdE7O5cf8Fy7eTKqAZ8Sc7rMyiUPSJW9f2hfC69/GUjr2TbGJ/IxggCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e525423340005dc1d91841f28fd130102f47819b37a461c70c1271ffe3afb8e1","last_reissued_at":"2026-05-18T00:51:02.679897Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:51:02.679897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.02709","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":"2026-05-18T00:51:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mgqk35odhXbijZmN9AGNuqKDTYQ+thPyyq8owJApdoXrEqaBOpERw2V3voInMG8V5tAWeJBzMWnkKHWUkpr2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T03:34:13.274124Z"},"content_sha256":"77f6e39b41e314d2562992fc4836c2af5d739772d51f0216abb5b840497cf065","schema_version":"1.0","event_id":"sha256:77f6e39b41e314d2562992fc4836c2af5d739772d51f0216abb5b840497cf065"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4USUEM2AABO4DWIYIHZI7UJQCA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Predicting Privileged Information for Height Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christophoros Nikou, Ioannis A. Kakadiaris, Nikolaos Sarafianos","submitted_at":"2017-02-09T05:30:26Z","abstract_excerpt":"In this paper, we propose a novel regression-based method for employing privileged information to estimate the height using human metrology. The actual values of the anthropometric measurements are difficult to estimate accurately using state-of-the-art computer vision algorithms. Hence, we use ratios of anthropometric measurements as features. Since many anthropometric measurements are not available at test time in real-life scenarios, we employ a learning using privileged information (LUPI) framework in a regression setup. Instead of using the LUPI paradigm for regression in its original for"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.02709","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":"2026-05-18T00:51:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vKwoy049N32waMKTs30qluo4yjkc3tT1mLEzbBmMgXX3JpVj09y2mBZYLQ2FVKOp50w+TbOVWKRptye1kzPqCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T03:34:13.274807Z"},"content_sha256":"55ae5efca520ad62e7e432fb3e5630e13c0a27f981cd4539ea4728fceeb6e476","schema_version":"1.0","event_id":"sha256:55ae5efca520ad62e7e432fb3e5630e13c0a27f981cd4539ea4728fceeb6e476"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4USUEM2AABO4DWIYIHZI7UJQCA/bundle.json","state_url":"https://pith.science/pith/4USUEM2AABO4DWIYIHZI7UJQCA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4USUEM2AABO4DWIYIHZI7UJQCA/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":"2026-05-25T03:34:13Z","links":{"resolver":"https://pith.science/pith/4USUEM2AABO4DWIYIHZI7UJQCA","bundle":"https://pith.science/pith/4USUEM2AABO4DWIYIHZI7UJQCA/bundle.json","state":"https://pith.science/pith/4USUEM2AABO4DWIYIHZI7UJQCA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4USUEM2AABO4DWIYIHZI7UJQCA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4USUEM2AABO4DWIYIHZI7UJQCA","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":"58a4ded80ef32eda46fc243fbc4738db40e1eb31d68dc1b0653844c2811e5a4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T05:30:26Z","title_canon_sha256":"590cad5dec3f4042df10b5a56c371bd2e0351588f089faf1e6736dae72899e04"},"schema_version":"1.0","source":{"id":"1702.02709","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.02709","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"arxiv_version","alias_value":"1702.02709v1","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.02709","created_at":"2026-05-18T00:51:02Z"},{"alias_kind":"pith_short_12","alias_value":"4USUEM2AABO4","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4USUEM2AABO4DWIY","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4USUEM2A","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:55ae5efca520ad62e7e432fb3e5630e13c0a27f981cd4539ea4728fceeb6e476","target":"graph","created_at":"2026-05-18T00:51:02Z","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":"In this paper, we propose a novel regression-based method for employing privileged information to estimate the height using human metrology. The actual values of the anthropometric measurements are difficult to estimate accurately using state-of-the-art computer vision algorithms. Hence, we use ratios of anthropometric measurements as features. Since many anthropometric measurements are not available at test time in real-life scenarios, we employ a learning using privileged information (LUPI) framework in a regression setup. Instead of using the LUPI paradigm for regression in its original for","authors_text":"Christophoros Nikou, Ioannis A. Kakadiaris, Nikolaos Sarafianos","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T05:30:26Z","title":"Predicting Privileged Information for Height Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.02709","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":"sha256:77f6e39b41e314d2562992fc4836c2af5d739772d51f0216abb5b840497cf065","target":"record","created_at":"2026-05-18T00:51:02Z","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":"58a4ded80ef32eda46fc243fbc4738db40e1eb31d68dc1b0653844c2811e5a4e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T05:30:26Z","title_canon_sha256":"590cad5dec3f4042df10b5a56c371bd2e0351588f089faf1e6736dae72899e04"},"schema_version":"1.0","source":{"id":"1702.02709","kind":"arxiv","version":1}},"canonical_sha256":"e525423340005dc1d91841f28fd130102f47819b37a461c70c1271ffe3afb8e1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e525423340005dc1d91841f28fd130102f47819b37a461c70c1271ffe3afb8e1","first_computed_at":"2026-05-18T00:51:02.679897Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:51:02.679897Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"en6mQ5I+KLY5uqBCI5B0SM2PiqsvjDXdE7O5cf8Fy7eTKqAZ8Sc7rMyiUPSJW9f2hfC69/GUjr2TbGJ/IxggCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:51:02.680397Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.02709","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77f6e39b41e314d2562992fc4836c2af5d739772d51f0216abb5b840497cf065","sha256:55ae5efca520ad62e7e432fb3e5630e13c0a27f981cd4539ea4728fceeb6e476"],"state_sha256":"bbaad65bdcc08a038702cbd4c11c3926737dd94831a7f9e0c64671393ddd1fec"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KeoD5p+4hG95SAOLAI18Lsv5wc0kDO82iBxXAIOEok2nzVC5lZfup24Y2D7mit1chLSEt9at9iU5zqPuWGCbDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T03:34:13.278333Z","bundle_sha256":"f9384916178c839a1daa9ab8f11ccbb70389daaaf5e0482d24a59bdb3a97ab67"}}