{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:QBJ2TLZ6AT74MRVFFRXXGJTRNS","short_pith_number":"pith:QBJ2TLZ6","schema_version":"1.0","canonical_sha256":"8053a9af3e04ffc646a52c6f7326716cbd19e3918ef39d80ee3a200f375c4f78","source":{"kind":"arxiv","id":"1412.2432","version":2},"attestation_state":"computed","paper":{"title":"MLitB: Machine Learning in the Browser","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.DC","authors_text":"Edward Meeds, Magiel Bruntink, Max Welling, Remco Hendriks, Said Al Faraby","submitted_at":"2014-12-08T02:23:40Z","abstract_excerpt":"With few exceptions, the field of Machine Learning (ML) research has largely ignored the browser as a computational engine. Beyond an educational resource for ML, the browser has vast potential to not only improve the state-of-the-art in ML research, but also, inexpensively and on a massive scale, to bring sophisticated ML learning and prediction to the public at large. This paper introduces MLitB, a prototype ML framework written entirely in JavaScript, capable of performing large-scale distributed computing with heterogeneous classes of devices. The development of MLitB has been driven by se"},"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":"1412.2432","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2014-12-08T02:23:40Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"2454bd929da87df2e7ba3ce3a32961479b97fb6ff1b0e74b09eb8a0e3eea5c0b","abstract_canon_sha256":"ed945465dc9965fff9aa907478552c960b8047b96ecab5e7d4a0eeb8e73e5940"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:46:13.811182Z","signature_b64":"VCRWuNTa5rTpVic0jH+aDcJZ9RDTBqvQmVb3IgRT/XbcE92x7wJ23K6gwbyRrILfrml3S8H8S/RyotmVWAPBAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8053a9af3e04ffc646a52c6f7326716cbd19e3918ef39d80ee3a200f375c4f78","last_reissued_at":"2026-05-18T01:46:13.810402Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:46:13.810402Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MLitB: Machine Learning in the Browser","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.DC","authors_text":"Edward Meeds, Magiel Bruntink, Max Welling, Remco Hendriks, Said Al Faraby","submitted_at":"2014-12-08T02:23:40Z","abstract_excerpt":"With few exceptions, the field of Machine Learning (ML) research has largely ignored the browser as a computational engine. Beyond an educational resource for ML, the browser has vast potential to not only improve the state-of-the-art in ML research, but also, inexpensively and on a massive scale, to bring sophisticated ML learning and prediction to the public at large. This paper introduces MLitB, a prototype ML framework written entirely in JavaScript, capable of performing large-scale distributed computing with heterogeneous classes of devices. The development of MLitB has been driven by se"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1412.2432","kind":"arxiv","version":2},"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":"1412.2432","created_at":"2026-05-18T01:46:13.810527+00:00"},{"alias_kind":"arxiv_version","alias_value":"1412.2432v2","created_at":"2026-05-18T01:46:13.810527+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1412.2432","created_at":"2026-05-18T01:46:13.810527+00:00"},{"alias_kind":"pith_short_12","alias_value":"QBJ2TLZ6AT74","created_at":"2026-05-18T12:28:43.426989+00:00"},{"alias_kind":"pith_short_16","alias_value":"QBJ2TLZ6AT74MRVF","created_at":"2026-05-18T12:28:43.426989+00:00"},{"alias_kind":"pith_short_8","alias_value":"QBJ2TLZ6","created_at":"2026-05-18T12:28:43.426989+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/QBJ2TLZ6AT74MRVFFRXXGJTRNS","json":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS.json","graph_json":"https://pith.science/api/pith-number/QBJ2TLZ6AT74MRVFFRXXGJTRNS/graph.json","events_json":"https://pith.science/api/pith-number/QBJ2TLZ6AT74MRVFFRXXGJTRNS/events.json","paper":"https://pith.science/paper/QBJ2TLZ6"},"agent_actions":{"view_html":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS","download_json":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS.json","view_paper":"https://pith.science/paper/QBJ2TLZ6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1412.2432&json=true","fetch_graph":"https://pith.science/api/pith-number/QBJ2TLZ6AT74MRVFFRXXGJTRNS/graph.json","fetch_events":"https://pith.science/api/pith-number/QBJ2TLZ6AT74MRVFFRXXGJTRNS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS/action/storage_attestation","attest_author":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS/action/author_attestation","sign_citation":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS/action/citation_signature","submit_replication":"https://pith.science/pith/QBJ2TLZ6AT74MRVFFRXXGJTRNS/action/replication_record"}},"created_at":"2026-05-18T01:46:13.810527+00:00","updated_at":"2026-05-18T01:46:13.810527+00:00"}