{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:NL35WFWKQLZZPCGVIMGOYU3AHU","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":"05d8161b3b9ba8d3d49add3ed58830788dc52d9c864ea538b1e13fcce92f9280","cross_cats_sorted":["cs.CV","math.IT","math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-12-01T19:53:25Z","title_canon_sha256":"2d0a69d95b4b1db9a271f72666ce77fce81dcc4a9c91a51f2e5a714e9814bc7f"},"schema_version":"1.0","source":{"id":"1412.0614","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1412.0614","created_at":"2026-05-18T00:58:36Z"},{"alias_kind":"arxiv_version","alias_value":"1412.0614v2","created_at":"2026-05-18T00:58:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.0614","created_at":"2026-05-18T00:58:36Z"},{"alias_kind":"pith_short_12","alias_value":"NL35WFWKQLZZ","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_16","alias_value":"NL35WFWKQLZZPCGV","created_at":"2026-05-18T12:28:41Z"},{"alias_kind":"pith_short_8","alias_value":"NL35WFWK","created_at":"2026-05-18T12:28:41Z"}],"graph_snapshots":[{"event_id":"sha256:4ad14fdd0a2f53b28e53c98994d17dcbe2801f06c12ecf70679a06b5f75bdc83","target":"graph","created_at":"2026-05-18T00:58:36Z","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":"This paper offers a characterization of fundamental limits on the classification and reconstruction of high-dimensional signals from low-dimensional features, in the presence of side information. We consider a scenario where a decoder has access both to linear features of the signal of interest and to linear features of the side information signal; while the side information may be in a compressed form, the objective is recovery or classification of the primary signal, not the side information. The signal of interest and the side information are each assumed to have (distinct) latent discrete ","authors_text":"Francesco Renna, Galen Reeves, Jianbo Yang, Lawrence Carin, Liming Wang, Miguel R. D. Rodrigues, Robert Calderbank, Xin Yuan","cross_cats":["cs.CV","math.IT","math.ST","stat.ML","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-12-01T19:53:25Z","title":"Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Features in the Presence of Side Information"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.0614","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":"sha256:8987d8ecedf8ef1c31a09ad007c68b2c69cc0fed3cd555411c884a952e19461b","target":"record","created_at":"2026-05-18T00:58:36Z","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":"05d8161b3b9ba8d3d49add3ed58830788dc52d9c864ea538b1e13fcce92f9280","cross_cats_sorted":["cs.CV","math.IT","math.ST","stat.ML","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IT","submitted_at":"2014-12-01T19:53:25Z","title_canon_sha256":"2d0a69d95b4b1db9a271f72666ce77fce81dcc4a9c91a51f2e5a714e9814bc7f"},"schema_version":"1.0","source":{"id":"1412.0614","kind":"arxiv","version":2}},"canonical_sha256":"6af7db16ca82f39788d5430cec53603d0ff90b342227a73cae43c48d71832615","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6af7db16ca82f39788d5430cec53603d0ff90b342227a73cae43c48d71832615","first_computed_at":"2026-05-18T00:58:36.422174Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:58:36.422174Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"1z6taRuKSjWQl5dm9OrJQzpWSIV9xtuqeOVzNt/AF+pW1QBmLuPRtsqoLu+tlQjba7Ff135mgCR4HpMqj2RbCg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:58:36.422743Z","signed_message":"canonical_sha256_bytes"},"source_id":"1412.0614","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8987d8ecedf8ef1c31a09ad007c68b2c69cc0fed3cd555411c884a952e19461b","sha256:4ad14fdd0a2f53b28e53c98994d17dcbe2801f06c12ecf70679a06b5f75bdc83"],"state_sha256":"5f7ecaa0987457e9b017e9e2464d91c06c8f36c22185fa18a96ea27e907537c5"}