{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:G3BPYVSOXZDOONHKCBODA4AJRV","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":"2e45c6b57029a37b790269cc574199b9f8ee4867cfbf6750d38fc038b1619ee1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-09T04:36:15Z","title_canon_sha256":"9974e864c4c3ddd7e5b62cb69ac42501b7aeb7a3949e0d14ec18c5ada7398349"},"schema_version":"1.0","source":{"id":"1703.03129","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03129","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03129v1","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03129","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"G3BPYVSOXZDO","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_16","alias_value":"G3BPYVSOXZDOONHK","created_at":"2026-05-18T12:31:15Z"},{"alias_kind":"pith_short_8","alias_value":"G3BPYVSO","created_at":"2026-05-18T12:31:15Z"}],"graph_snapshots":[{"event_id":"sha256:4d17ec9caaec4589423d5dc90e65119d4e27cfc0d4ef4928ba57c92f5e545d4a","target":"graph","created_at":"2026-05-18T00:49:01Z","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":"Despite recent advances, memory-augmented deep neural networks are still limited when it comes to life-long and one-shot learning, especially in remembering rare events. We present a large-scale life-long memory module for use in deep learning. The module exploits fast nearest-neighbor algorithms for efficiency and thus scales to large memory sizes. Except for the nearest-neighbor query, the module is fully differentiable and trained end-to-end with no extra supervision. It operates in a life-long manner, i.e., without the need to reset it during training.\n  Our memory module can be easily add","authors_text":"Aurko Roy, {\\L}ukasz Kaiser, Ofir Nachum, Samy Bengio","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-09T04:36:15Z","title":"Learning to Remember Rare Events"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03129","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":"sha256:6b7a4a1211e3fec577aec5dab7c1f580351a24b7d3ff26e076a9d61394173eca","target":"record","created_at":"2026-05-18T00:49:01Z","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":"2e45c6b57029a37b790269cc574199b9f8ee4867cfbf6750d38fc038b1619ee1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2017-03-09T04:36:15Z","title_canon_sha256":"9974e864c4c3ddd7e5b62cb69ac42501b7aeb7a3949e0d14ec18c5ada7398349"},"schema_version":"1.0","source":{"id":"1703.03129","kind":"arxiv","version":1}},"canonical_sha256":"36c2fc564ebe46e734ea105c3070098d44c7c71cff50a846884cb84bab30ce07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"36c2fc564ebe46e734ea105c3070098d44c7c71cff50a846884cb84bab30ce07","first_computed_at":"2026-05-18T00:49:01.418572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:01.418572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uROYnRNq9ELBgsymzjR+nooaYskjyCD4nhQBoF3YdtjviI8WjgFk0bsCHE9S/SGOYI7DntVrb3X1//wUa0xkCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:01.419305Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.03129","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6b7a4a1211e3fec577aec5dab7c1f580351a24b7d3ff26e076a9d61394173eca","sha256:4d17ec9caaec4589423d5dc90e65119d4e27cfc0d4ef4928ba57c92f5e545d4a"],"state_sha256":"e53edb38b4b570228f7d8c5b5501944ad9c3bd00d1590916b52a30cb2bfcf979"}