{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:S2ENJDF76QGEITCDBP7IE5VWUJ","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":"e37c6dee64ccc712a573ccdcd463ced51bfb037a9440d6641c9825abefd40441","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-12T13:40:13Z","title_canon_sha256":"3cdb31b05f91e42b31b16a68d4cb9813111e075d4e5a1caad7b4301e246b9d03"},"schema_version":"1.0","source":{"id":"1609.03396","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1609.03396","created_at":"2026-05-18T00:49:06Z"},{"alias_kind":"arxiv_version","alias_value":"1609.03396v2","created_at":"2026-05-18T00:49:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1609.03396","created_at":"2026-05-18T00:49:06Z"},{"alias_kind":"pith_short_12","alias_value":"S2ENJDF76QGE","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_16","alias_value":"S2ENJDF76QGEITCD","created_at":"2026-05-18T12:30:41Z"},{"alias_kind":"pith_short_8","alias_value":"S2ENJDF7","created_at":"2026-05-18T12:30:41Z"}],"graph_snapshots":[{"event_id":"sha256:91f2aa7396d04196e429126c1fefa672237fbf4c6f97e38f4cbd554957de3183","target":"graph","created_at":"2026-05-18T00:49:06Z","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":"Machine-learning algorithms have shown outstanding image recognition or classification performance for computer vision applications. However, the compute and energy requirement for implementing such classifier models for large-scale problems is quite high. In this paper, we propose Feature Driven Selective Classification (FALCON) inspired by the biological visual attention mechanism in the brain to optimize the energy-efficiency of machine-learning classifiers. We use the consensus in the characteristic features (color/texture) across images in a dataset to decompose the original classificatio","authors_text":"Aayush Ankit, Kaushik Roy, Parami Wijesinghe, Priyadarshini Panda","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-12T13:40:13Z","title":"FALCON: Feature Driven Selective Classification for Energy-Efficient Image Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1609.03396","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":"sha256:6aa1165cc6cc71f99431294fe9e88972c957a6a9f9b541e42cff579ec765b5bb","target":"record","created_at":"2026-05-18T00:49:06Z","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":"e37c6dee64ccc712a573ccdcd463ced51bfb037a9440d6641c9825abefd40441","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-09-12T13:40:13Z","title_canon_sha256":"3cdb31b05f91e42b31b16a68d4cb9813111e075d4e5a1caad7b4301e246b9d03"},"schema_version":"1.0","source":{"id":"1609.03396","kind":"arxiv","version":2}},"canonical_sha256":"9688d48cbff40c444c430bfe8276b6a2543abd635b65135219f54ee1db9489a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9688d48cbff40c444c430bfe8276b6a2543abd635b65135219f54ee1db9489a3","first_computed_at":"2026-05-18T00:49:06.583732Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:06.583732Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sHIFVjJFBRFntZunbMlUOXQJ34G7TKl+VI5cX4veNE+6LlAbbnrqM3dCeUjPX95SZxXx+x5FF76jtpLVEUP7DQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:06.584122Z","signed_message":"canonical_sha256_bytes"},"source_id":"1609.03396","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6aa1165cc6cc71f99431294fe9e88972c957a6a9f9b541e42cff579ec765b5bb","sha256:91f2aa7396d04196e429126c1fefa672237fbf4c6f97e38f4cbd554957de3183"],"state_sha256":"81619883e0892580ba8c77aed116f9beffa5159c17e91f3fe7dc631288642f7e"}