{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BBHGEH62M3ZOUL2YDIUOT2G76M","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":"0e7d64f98cd8a0708bc6eeb6270bdc9de5644b59cf4bcedf9d21da6ec3cd6b5e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-29T05:05:41Z","title_canon_sha256":"b8aeebcdf3879413e1df40e22021d2faeb5d71521e65f6f79541c00428bcb6ed"},"schema_version":"1.0","source":{"id":"1903.12355","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.12355","created_at":"2026-05-17T23:48:54Z"},{"alias_kind":"arxiv_version","alias_value":"1903.12355v2","created_at":"2026-05-17T23:48:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.12355","created_at":"2026-05-17T23:48:54Z"},{"alias_kind":"pith_short_12","alias_value":"BBHGEH62M3ZO","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"BBHGEH62M3ZOUL2Y","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"BBHGEH62","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:0fb035539c36451708b3c0eeec936d3c398e7bebdec1ff4d0f2c6480c52045af","target":"graph","created_at":"2026-05-17T23:48:54Z","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":"Unsupervised approaches to learning in neural networks are of substantial interest for furthering artificial intelligence, both because they would enable the training of networks without the need for large numbers of expensive annotations, and because they would be better models of the kind of general-purpose learning deployed by humans. However, unsupervised networks have long lagged behind the performance of their supervised counterparts, especially in the domain of large-scale visual recognition. Recent developments in training deep convolutional embeddings to maximize non-parametric instan","authors_text":"Alex Lin Zhai, Chengxu Zhuang, Daniel Yamins","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-29T05:05:41Z","title":"Local Aggregation for Unsupervised Learning of Visual Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.12355","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:ec2168a54a471d0c02984ee918ef6b03f10c8dafc1d66a5b25817778f43bbcbf","target":"record","created_at":"2026-05-17T23:48:54Z","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":"0e7d64f98cd8a0708bc6eeb6270bdc9de5644b59cf4bcedf9d21da6ec3cd6b5e","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-29T05:05:41Z","title_canon_sha256":"b8aeebcdf3879413e1df40e22021d2faeb5d71521e65f6f79541c00428bcb6ed"},"schema_version":"1.0","source":{"id":"1903.12355","kind":"arxiv","version":2}},"canonical_sha256":"084e621fda66f2ea2f581a28e9e8dff31371550ce138064eddd04bf27a5a6f75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"084e621fda66f2ea2f581a28e9e8dff31371550ce138064eddd04bf27a5a6f75","first_computed_at":"2026-05-17T23:48:54.740348Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:48:54.740348Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UpsKjPIQl3VtnicMERlmLP1xz3Vs+yoelj9/+0ejLUJMexVUCvryfP6FZJs5c2Qu7UfCU+R/2vvx30gi5chWDw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:48:54.740761Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.12355","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec2168a54a471d0c02984ee918ef6b03f10c8dafc1d66a5b25817778f43bbcbf","sha256:0fb035539c36451708b3c0eeec936d3c398e7bebdec1ff4d0f2c6480c52045af"],"state_sha256":"a8e094299b7dca852b7adbf070174381f0f7a9b20c95dbb278d503ff172ae2f5"}