{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:VK6KZTFKCF5CEXQSA6CEFPJ2BH","short_pith_number":"pith:VK6KZTFK","schema_version":"1.0","canonical_sha256":"aabcacccaa117a225e12078442bd3a09e1060c05e8684c4b3f3aca4f915ea10f","source":{"kind":"arxiv","id":"1610.06402","version":1},"attestation_state":"computed","paper":{"title":"A Growing Long-term Episodic & Semantic Memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.AI","authors_text":"Chris Tar, Louis Shao, Marc Pickett, Rami Al-Rfou","submitted_at":"2016-10-20T13:29:56Z","abstract_excerpt":"The long-term memory of most connectionist systems lies entirely in the weights of the system. Since the number of weights is typically fixed, this bounds the total amount of knowledge that can be learned and stored. Though this is not normally a problem for a neural network designed for a specific task, such a bound is undesirable for a system that continually learns over an open range of domains. To address this, we describe a lifelong learning system that leverages a fast, though non-differentiable, content-addressable memory which can be exploited to encode both a long history of sequentia"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1610.06402","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2016-10-20T13:29:56Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"abd7ab63a248af68e71a2eae5c50a6ee1d3ef3889d161e7d04e243e750b6f0d7","abstract_canon_sha256":"dfb8ae0bd7b8077d9756cb61bec2e28601427d892b4d5064325d814066b34b35"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:01:43.310806Z","signature_b64":"0CbFg003VyOFOj/LyyrlK4jqG4DdrWn8U5Kf5YkNrWZrPv4juBrjFi7B050VyXbrIdLHiPxTBWdHXwPmb3NBDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aabcacccaa117a225e12078442bd3a09e1060c05e8684c4b3f3aca4f915ea10f","last_reissued_at":"2026-05-18T01:01:43.310293Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:01:43.310293Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Growing Long-term Episodic & Semantic Memory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.AI","authors_text":"Chris Tar, Louis Shao, Marc Pickett, Rami Al-Rfou","submitted_at":"2016-10-20T13:29:56Z","abstract_excerpt":"The long-term memory of most connectionist systems lies entirely in the weights of the system. Since the number of weights is typically fixed, this bounds the total amount of knowledge that can be learned and stored. Though this is not normally a problem for a neural network designed for a specific task, such a bound is undesirable for a system that continually learns over an open range of domains. To address this, we describe a lifelong learning system that leverages a fast, though non-differentiable, content-addressable memory which can be exploited to encode both a long history of sequentia"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1610.06402","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1610.06402","created_at":"2026-05-18T01:01:43.310384+00:00"},{"alias_kind":"arxiv_version","alias_value":"1610.06402v1","created_at":"2026-05-18T01:01:43.310384+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1610.06402","created_at":"2026-05-18T01:01:43.310384+00:00"},{"alias_kind":"pith_short_12","alias_value":"VK6KZTFKCF5C","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_16","alias_value":"VK6KZTFKCF5CEXQS","created_at":"2026-05-18T12:30:48.956258+00:00"},{"alias_kind":"pith_short_8","alias_value":"VK6KZTFK","created_at":"2026-05-18T12:30:48.956258+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH","json":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH.json","graph_json":"https://pith.science/api/pith-number/VK6KZTFKCF5CEXQSA6CEFPJ2BH/graph.json","events_json":"https://pith.science/api/pith-number/VK6KZTFKCF5CEXQSA6CEFPJ2BH/events.json","paper":"https://pith.science/paper/VK6KZTFK"},"agent_actions":{"view_html":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH","download_json":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH.json","view_paper":"https://pith.science/paper/VK6KZTFK","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1610.06402&json=true","fetch_graph":"https://pith.science/api/pith-number/VK6KZTFKCF5CEXQSA6CEFPJ2BH/graph.json","fetch_events":"https://pith.science/api/pith-number/VK6KZTFKCF5CEXQSA6CEFPJ2BH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH/action/storage_attestation","attest_author":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH/action/author_attestation","sign_citation":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH/action/citation_signature","submit_replication":"https://pith.science/pith/VK6KZTFKCF5CEXQSA6CEFPJ2BH/action/replication_record"}},"created_at":"2026-05-18T01:01:43.310384+00:00","updated_at":"2026-05-18T01:01:43.310384+00:00"}