{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:C7OX6SZZ2VSEGGR2NLSDWYVEWF","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":"0d2f75f6f36aed6fa5ed76dbb5fe39a8c0ffdd0ab51fe138299e49c465481efb","cross_cats_sorted":["cs.LG","cs.NE","q-bio.NC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T17:42:11Z","title_canon_sha256":"b9b4b08705cf313333cb6c204617b4bf72eff92bf94f0af94c1b32b28b54958a"},"schema_version":"1.0","source":{"id":"1908.08993","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.08993","created_at":"2026-07-04T23:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"1908.08993v1","created_at":"2026-07-04T23:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.08993","created_at":"2026-07-04T23:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"C7OX6SZZ2VSE","created_at":"2026-07-04T23:59:35Z"},{"alias_kind":"pith_short_16","alias_value":"C7OX6SZZ2VSEGGR2","created_at":"2026-07-04T23:59:35Z"},{"alias_kind":"pith_short_8","alias_value":"C7OX6SZZ","created_at":"2026-07-04T23:59:35Z"}],"graph_snapshots":[{"event_id":"sha256:b64b57b2e2e16f966292bebb847b3df68c0c2be00230fe7b6bf4c81773c8c8f3","target":"graph","created_at":"2026-07-04T23:59:35Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/1908.08993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Local Hebbian learning is believed to be inferior in performance to end-to-end training using a backpropagation algorithm. We question this popular belief by designing a local algorithm that can learn convolutional filters at scale on large image datasets. These filters combined with patch normalization and very steep non-linearities result in a good classification accuracy for shallow networks trained locally, as opposed to end-to-end. The filters learned by our algorithm contain both orientation selective units and unoriented color units, resembling the responses of pyramidal neurons located","authors_text":"Dmitry Krotov, John Hopfield, Leopold Grinberg","cross_cats":["cs.LG","cs.NE","q-bio.NC","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T17:42:11Z","title":"Local Unsupervised Learning for Image Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.08993","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":"sha256:8eeabc12587a773a95b28c45a42f7bb840dd2c90a6433e2fec9ea27457b425ae","target":"record","created_at":"2026-07-04T23:59:35Z","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":"0d2f75f6f36aed6fa5ed76dbb5fe39a8c0ffdd0ab51fe138299e49c465481efb","cross_cats_sorted":["cs.LG","cs.NE","q-bio.NC","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-08-14T17:42:11Z","title_canon_sha256":"b9b4b08705cf313333cb6c204617b4bf72eff92bf94f0af94c1b32b28b54958a"},"schema_version":"1.0","source":{"id":"1908.08993","kind":"arxiv","version":1}},"canonical_sha256":"17dd7f4b39d564431a3a6ae43b62a4b15b99186d3ce80aa2ec22bfbc7d3dec66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"17dd7f4b39d564431a3a6ae43b62a4b15b99186d3ce80aa2ec22bfbc7d3dec66","first_computed_at":"2026-07-04T23:59:35.682253Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:59:35.682253Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nrDzBKHt5foZSSBjnCqKOC3zf9lqaK78/f4RGzBLOk0KiswJ2LweXjfQoUEnU5wvI2dE3LpupPq4fNSn+xMDDQ==","signature_status":"signed_v1","signed_at":"2026-07-04T23:59:35.682686Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.08993","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8eeabc12587a773a95b28c45a42f7bb840dd2c90a6433e2fec9ea27457b425ae","sha256:b64b57b2e2e16f966292bebb847b3df68c0c2be00230fe7b6bf4c81773c8c8f3"],"state_sha256":"6444ee64cda21721f7d1d2b9ebf451218fcbf16116e70a66d781f3a48037ee86"}