{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:3WDZCDWKSD3GRUVQXLZAYZVN33","short_pith_number":"pith:3WDZCDWK","canonical_record":{"source":{"id":"1209.6409","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-09-28T01:46:47Z","cross_cats_sorted":[],"title_canon_sha256":"e82404b868af4e8257fedcd14d0f544f3e16f683c134a4fb81ab1a6265701dcd","abstract_canon_sha256":"5f659cf31ba44171b3122574385e6916ff86806545eea3bc8fd545861fe19b9e"},"schema_version":"1.0"},"canonical_sha256":"dd87910eca90f668d2b0baf20c66addef3295e026fe787dce6f07a2538f413a6","source":{"kind":"arxiv","id":"1209.6409","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1209.6409","created_at":"2026-05-18T03:44:25Z"},{"alias_kind":"arxiv_version","alias_value":"1209.6409v1","created_at":"2026-05-18T03:44:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.6409","created_at":"2026-05-18T03:44:25Z"},{"alias_kind":"pith_short_12","alias_value":"3WDZCDWKSD3G","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"3WDZCDWKSD3GRUVQ","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"3WDZCDWK","created_at":"2026-05-18T12:26:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:3WDZCDWKSD3GRUVQXLZAYZVN33","target":"record","payload":{"canonical_record":{"source":{"id":"1209.6409","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-09-28T01:46:47Z","cross_cats_sorted":[],"title_canon_sha256":"e82404b868af4e8257fedcd14d0f544f3e16f683c134a4fb81ab1a6265701dcd","abstract_canon_sha256":"5f659cf31ba44171b3122574385e6916ff86806545eea3bc8fd545861fe19b9e"},"schema_version":"1.0"},"canonical_sha256":"dd87910eca90f668d2b0baf20c66addef3295e026fe787dce6f07a2538f413a6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:44:25.543578Z","signature_b64":"pmtVpujDbI3mIE0ASFoe413/cmGEt7H0vsqd/ys6fOo7V1hNb2qNPjXhaVJezojn9xb+fLtmVwgEfic+AOKzCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd87910eca90f668d2b0baf20c66addef3295e026fe787dce6f07a2538f413a6","last_reissued_at":"2026-05-18T03:44:25.542981Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:44:25.542981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1209.6409","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:44:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"94wHGpAZqQ3uXgZBc0Hpom4NlITWnFI5YNag55wavfY9oBvGaTLy41RXzwR5xBoxg5Xc+trCRWN3pNNPmVbZCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T11:22:27.782902Z"},"content_sha256":"d76830a7fd58ea357d2455ebd4249b736f815c84402488a4d320442db4e49e0b","schema_version":"1.0","event_id":"sha256:d76830a7fd58ea357d2455ebd4249b736f815c84402488a4d320442db4e49e0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:3WDZCDWKSD3GRUVQXLZAYZVN33","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Mehmet A. Donmez, Sait Tunc, Suleyman S. Kozat","submitted_at":"2012-09-28T01:46:47Z","abstract_excerpt":"We analyze an online learning algorithm that adaptively combines outputs of two constituent algorithms (or the experts) running in parallel to model an unknown desired signal. This online learning algorithm is shown to achieve (and in some cases outperform) the mean-square error (MSE) performance of the best constituent algorithm in the mixture in the steady-state. However, the MSE analysis of this algorithm in the literature uses approximations and relies on statistical models on the underlying signals and systems. Hence, such an analysis may not be useful or valid for signals generated by va"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.6409","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:44:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSp3ooAUEK4EYbGqR7x2Q7pyFc8RCorymlskmJhpgsU+ZktcSrLHQAbMt4YfFqzIbqnTN5ryL0QCjrnchDsvCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T11:22:27.783246Z"},"content_sha256":"3113bbfb72c30abad697b054ab5f235b3c21ef8b0151b5741fad899fec87f889","schema_version":"1.0","event_id":"sha256:3113bbfb72c30abad697b054ab5f235b3c21ef8b0151b5741fad899fec87f889"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3WDZCDWKSD3GRUVQXLZAYZVN33/bundle.json","state_url":"https://pith.science/pith/3WDZCDWKSD3GRUVQXLZAYZVN33/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3WDZCDWKSD3GRUVQXLZAYZVN33/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-25T11:22:27Z","links":{"resolver":"https://pith.science/pith/3WDZCDWKSD3GRUVQXLZAYZVN33","bundle":"https://pith.science/pith/3WDZCDWKSD3GRUVQXLZAYZVN33/bundle.json","state":"https://pith.science/pith/3WDZCDWKSD3GRUVQXLZAYZVN33/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3WDZCDWKSD3GRUVQXLZAYZVN33/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:3WDZCDWKSD3GRUVQXLZAYZVN33","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":"5f659cf31ba44171b3122574385e6916ff86806545eea3bc8fd545861fe19b9e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-09-28T01:46:47Z","title_canon_sha256":"e82404b868af4e8257fedcd14d0f544f3e16f683c134a4fb81ab1a6265701dcd"},"schema_version":"1.0","source":{"id":"1209.6409","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1209.6409","created_at":"2026-05-18T03:44:25Z"},{"alias_kind":"arxiv_version","alias_value":"1209.6409v1","created_at":"2026-05-18T03:44:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1209.6409","created_at":"2026-05-18T03:44:25Z"},{"alias_kind":"pith_short_12","alias_value":"3WDZCDWKSD3G","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_16","alias_value":"3WDZCDWKSD3GRUVQ","created_at":"2026-05-18T12:26:53Z"},{"alias_kind":"pith_short_8","alias_value":"3WDZCDWK","created_at":"2026-05-18T12:26:53Z"}],"graph_snapshots":[{"event_id":"sha256:3113bbfb72c30abad697b054ab5f235b3c21ef8b0151b5741fad899fec87f889","target":"graph","created_at":"2026-05-18T03:44:25Z","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":"We analyze an online learning algorithm that adaptively combines outputs of two constituent algorithms (or the experts) running in parallel to model an unknown desired signal. This online learning algorithm is shown to achieve (and in some cases outperform) the mean-square error (MSE) performance of the best constituent algorithm in the mixture in the steady-state. However, the MSE analysis of this algorithm in the literature uses approximations and relies on statistical models on the underlying signals and systems. Hence, such an analysis may not be useful or valid for signals generated by va","authors_text":"Mehmet A. Donmez, Sait Tunc, Suleyman S. Kozat","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-09-28T01:46:47Z","title":"A Deterministic Analysis of an Online Convex Mixture of Expert Algorithms"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1209.6409","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:d76830a7fd58ea357d2455ebd4249b736f815c84402488a4d320442db4e49e0b","target":"record","created_at":"2026-05-18T03:44:25Z","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":"5f659cf31ba44171b3122574385e6916ff86806545eea3bc8fd545861fe19b9e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-09-28T01:46:47Z","title_canon_sha256":"e82404b868af4e8257fedcd14d0f544f3e16f683c134a4fb81ab1a6265701dcd"},"schema_version":"1.0","source":{"id":"1209.6409","kind":"arxiv","version":1}},"canonical_sha256":"dd87910eca90f668d2b0baf20c66addef3295e026fe787dce6f07a2538f413a6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd87910eca90f668d2b0baf20c66addef3295e026fe787dce6f07a2538f413a6","first_computed_at":"2026-05-18T03:44:25.542981Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:44:25.542981Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pmtVpujDbI3mIE0ASFoe413/cmGEt7H0vsqd/ys6fOo7V1hNb2qNPjXhaVJezojn9xb+fLtmVwgEfic+AOKzCA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:44:25.543578Z","signed_message":"canonical_sha256_bytes"},"source_id":"1209.6409","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d76830a7fd58ea357d2455ebd4249b736f815c84402488a4d320442db4e49e0b","sha256:3113bbfb72c30abad697b054ab5f235b3c21ef8b0151b5741fad899fec87f889"],"state_sha256":"4b0e4f18ef6db366a66f500e2eb3f7d4683c92c9887bbc244a6c5f0b3a131575"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lz5Gn5htfSGrlsXki0djQwojEWLrkFrW+yeOAXso3DLLQlavLJBdXrp/Bimpl/XCJSlc4k1vWkiZ6DQcTUPkBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T11:22:27.785205Z","bundle_sha256":"5d05da42206598c81438594f991a0b1dd8b19380b862e271f03d2cb57aea1cf8"}}