{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4VMXF46DCVGERACHWFPPVG4UV2","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":"850a69197ab6074e62c7ddbc4db28f32eec92c60cf890a8ccac1c6dce324694d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-11T20:43:41Z","title_canon_sha256":"d3aedea16e1df88cc5fd819afb9e81369d4fdb3de032813d571e5f07c6e3edf0"},"schema_version":"1.0","source":{"id":"1701.03153","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.03153","created_at":"2026-05-18T00:00:45Z"},{"alias_kind":"arxiv_version","alias_value":"1701.03153v2","created_at":"2026-05-18T00:00:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.03153","created_at":"2026-05-18T00:00:45Z"},{"alias_kind":"pith_short_12","alias_value":"4VMXF46DCVGE","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4VMXF46DCVGERACH","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4VMXF46D","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:6391563182dc4ab77d4959161a7106d2c34d117a00bac32d9b7c752ebf87bb51","target":"graph","created_at":"2026-05-18T00:00:45Z","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":"Re-identification is generally carried out by encoding the appearance of a subject in terms of outfit, suggesting scenarios where people do not change their attire. In this paper we overcome this restriction, by proposing a framework based on a deep convolutional neural network, SOMAnet, that additionally models other discriminative aspects, namely, structural attributes of the human figure (e.g. height, obesity, gender). Our method is unique in many respects. First, SOMAnet is based on the Inception architecture, departing from the usual siamese framework. This spares expensive data preparati","authors_text":"Aleksander Rognhaugen, Barbara Caputo, Igor Barros Barbosa, Marco Cristani, Theoharis Theoharis","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-11T20:43:41Z","title":"Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.03153","kind":"arxiv","version":2},"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":"sha256:7163694c835c62c24d55ac91fccdcc3f04b5e92e471515e1b5956515cbb766a7","target":"record","created_at":"2026-05-18T00:00:45Z","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":"850a69197ab6074e62c7ddbc4db28f32eec92c60cf890a8ccac1c6dce324694d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-01-11T20:43:41Z","title_canon_sha256":"d3aedea16e1df88cc5fd819afb9e81369d4fdb3de032813d571e5f07c6e3edf0"},"schema_version":"1.0","source":{"id":"1701.03153","kind":"arxiv","version":2}},"canonical_sha256":"e55972f3c3154c488047b15efa9b94ae82181787c98bdd2edb517eb5dba87fda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e55972f3c3154c488047b15efa9b94ae82181787c98bdd2edb517eb5dba87fda","first_computed_at":"2026-05-18T00:00:45.392366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:00:45.392366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WY0OXIJ1Jvmh8xWdl2u0o5Q+DOF8dS14U3WKa6BkJXJMiWTOQE+sJOmda2tGTbSQ1+nYnHx9x2cafQs/CQ09Cw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:00:45.392716Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.03153","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7163694c835c62c24d55ac91fccdcc3f04b5e92e471515e1b5956515cbb766a7","sha256:6391563182dc4ab77d4959161a7106d2c34d117a00bac32d9b7c752ebf87bb51"],"state_sha256":"7f4573d61a8df4273ba8751e44ef9609eebf24cc7fc82dc35c85e21fdf01e7d6"}