{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:CUCWNM5MR4K6XF3ZXBDYAWUXDV","short_pith_number":"pith:CUCWNM5M","schema_version":"1.0","canonical_sha256":"150566b3ac8f15eb9779b847805a971d7112e6d7a6e44f21fbe7db7e1d0333bc","source":{"kind":"arxiv","id":"1803.02043","version":1},"attestation_state":"computed","paper":{"title":"Online Deep Learning: Growing RBM on the fly","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.NE","authors_text":"Kanagasabai Rajaraman, Pavitra Krishnaswamy, Savitha Ramasamy, Vijay Chandrasekhar","submitted_at":"2018-03-06T07:24:21Z","abstract_excerpt":"We propose a novel online learning algorithm for Restricted Boltzmann Machines (RBM), namely, the Online Generative Discriminative Restricted Boltzmann Machine (OGD-RBM), that provides the ability to build and adapt the network architecture of RBM according to the statistics of streaming data. The OGD-RBM is trained in two phases: (1) an online generative phase for unsupervised feature representation at the hidden layer and (2) a discriminative phase for classification. The online generative training begins with zero neurons in the hidden layer, adds and updates the neurons to adapt to statist"},"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":"1803.02043","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2018-03-06T07:24:21Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"c030ebe0a5610a887600ef521fab79f273ee6dbb751a4a77f7ec37d21dd40eb7","abstract_canon_sha256":"3b7b73bdc436cdca1837abb98f26717276286422647897f7e33edf1e1dd26cf4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:21:55.976455Z","signature_b64":"JtkFUCOgs/6IGOuU2MrxxydzkmIHke3m1ZSUoXkE4i/iIVc45ilOsubl4KuMvGsduAadkgzlw1kz+vJVWQOIAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"150566b3ac8f15eb9779b847805a971d7112e6d7a6e44f21fbe7db7e1d0333bc","last_reissued_at":"2026-05-18T00:21:55.975833Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:21:55.975833Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Online Deep Learning: Growing RBM on the fly","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.NE","authors_text":"Kanagasabai Rajaraman, Pavitra Krishnaswamy, Savitha Ramasamy, Vijay Chandrasekhar","submitted_at":"2018-03-06T07:24:21Z","abstract_excerpt":"We propose a novel online learning algorithm for Restricted Boltzmann Machines (RBM), namely, the Online Generative Discriminative Restricted Boltzmann Machine (OGD-RBM), that provides the ability to build and adapt the network architecture of RBM according to the statistics of streaming data. The OGD-RBM is trained in two phases: (1) an online generative phase for unsupervised feature representation at the hidden layer and (2) a discriminative phase for classification. The online generative training begins with zero neurons in the hidden layer, adds and updates the neurons to adapt to statist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.02043","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":"1803.02043","created_at":"2026-05-18T00:21:55.975929+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.02043v1","created_at":"2026-05-18T00:21:55.975929+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.02043","created_at":"2026-05-18T00:21:55.975929+00:00"},{"alias_kind":"pith_short_12","alias_value":"CUCWNM5MR4K6","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_16","alias_value":"CUCWNM5MR4K6XF3Z","created_at":"2026-05-18T12:32:19.392346+00:00"},{"alias_kind":"pith_short_8","alias_value":"CUCWNM5M","created_at":"2026-05-18T12:32:19.392346+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/CUCWNM5MR4K6XF3ZXBDYAWUXDV","json":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV.json","graph_json":"https://pith.science/api/pith-number/CUCWNM5MR4K6XF3ZXBDYAWUXDV/graph.json","events_json":"https://pith.science/api/pith-number/CUCWNM5MR4K6XF3ZXBDYAWUXDV/events.json","paper":"https://pith.science/paper/CUCWNM5M"},"agent_actions":{"view_html":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV","download_json":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV.json","view_paper":"https://pith.science/paper/CUCWNM5M","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.02043&json=true","fetch_graph":"https://pith.science/api/pith-number/CUCWNM5MR4K6XF3ZXBDYAWUXDV/graph.json","fetch_events":"https://pith.science/api/pith-number/CUCWNM5MR4K6XF3ZXBDYAWUXDV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV/action/storage_attestation","attest_author":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV/action/author_attestation","sign_citation":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV/action/citation_signature","submit_replication":"https://pith.science/pith/CUCWNM5MR4K6XF3ZXBDYAWUXDV/action/replication_record"}},"created_at":"2026-05-18T00:21:55.975929+00:00","updated_at":"2026-05-18T00:21:55.975929+00:00"}