{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XFUSY2GDJH2VORQGYT7VANSHU2","short_pith_number":"pith:XFUSY2GD","canonical_record":{"source":{"id":"2507.18464","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-07-24T14:39:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"394ccac553b45766127b22b06e93498da2c8f4ff02a8bc736547a18d71ad1d8b","abstract_canon_sha256":"ed48aaeda4410c202b5f521c68477f29a3c0957ad5fd33ec0d8343f00172a6d1"},"schema_version":"1.0"},"canonical_sha256":"b9692c68c349f5574606c4ff503647a699d5466c09edb789a0b150a877412b1e","source":{"kind":"arxiv","id":"2507.18464","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18464","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18464v1","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18464","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"XFUSY2GDJH2V","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"pith_short_16","alias_value":"XFUSY2GDJH2VORQG","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"pith_short_8","alias_value":"XFUSY2GD","created_at":"2026-07-05T11:42:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XFUSY2GDJH2VORQGYT7VANSHU2","target":"record","payload":{"canonical_record":{"source":{"id":"2507.18464","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-07-24T14:39:20Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"394ccac553b45766127b22b06e93498da2c8f4ff02a8bc736547a18d71ad1d8b","abstract_canon_sha256":"ed48aaeda4410c202b5f521c68477f29a3c0957ad5fd33ec0d8343f00172a6d1"},"schema_version":"1.0"},"canonical_sha256":"b9692c68c349f5574606c4ff503647a699d5466c09edb789a0b150a877412b1e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:48.389132Z","signature_b64":"DcQP7RKZhyqzM/uib15JJOzt5j+c/CbUTPS0jIVN9/QMPJ5pnqvfOjJxKm3zDrQS5R4OTgYqV1i0rng8qQbCCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9692c68c349f5574606c4ff503647a699d5466c09edb789a0b150a877412b1e","last_reissued_at":"2026-07-05T11:42:48.388744Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:48.388744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.18464","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":"2026-07-05T11:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2PPEdaRiBSv5izDEHY0zUWHrkT5pCqTWw+rrHUdNBygJAJhsIxc54t+vd3WOsHXcVOSIbtXhiNEk+wRZRXJQDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:39:09.339026Z"},"content_sha256":"04246b6fc35df7e4e5d1bdda34834d49e3ec05aad9e16b188c657fc305fc5a13","schema_version":"1.0","event_id":"sha256:04246b6fc35df7e4e5d1bdda34834d49e3ec05aad9e16b188c657fc305fc5a13"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XFUSY2GDJH2VORQGYT7VANSHU2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Andr\\'es L. Su\\'arez-Cetrulo, Miguel Aspis, Ricardo Sim\\'on Carbajo, Sebasti\\'an A. Cajas Ord\\'onez","submitted_at":"2025-07-24T14:39:20Z","abstract_excerpt":"Learning from non-stationary data streams subject to concept drift requires models that can adapt on-the-fly while remaining resource-efficient. Existing adaptive ensemble methods often rely on coarse-grained adaptation mechanisms or simple voting schemes that fail to optimally leverage specialized knowledge. This paper introduces DriftMoE, an online Mixture-of-Experts (MoE) architecture that addresses these limitations through a novel co-training framework. DriftMoE features a compact neural router that is co-trained alongside a pool of incremental Hoeffding tree experts. The key innovation l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18464","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.18464/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T11:42:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lWrE8j9uf23tKjUgTmK8mX7jV49Vb/iwDB6yEUDB4nV1dDbkGfuESZIu/xRI3Qg9Zw112fxD0LmWEYv03icPCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T23:39:09.339545Z"},"content_sha256":"6fa9305242623a757c73d6ecb249130be4526d3eb14bb94cd31b893af2cdf956","schema_version":"1.0","event_id":"sha256:6fa9305242623a757c73d6ecb249130be4526d3eb14bb94cd31b893af2cdf956"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XFUSY2GDJH2VORQGYT7VANSHU2/bundle.json","state_url":"https://pith.science/pith/XFUSY2GDJH2VORQGYT7VANSHU2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XFUSY2GDJH2VORQGYT7VANSHU2/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":"2026-08-08T23:39:09Z","links":{"resolver":"https://pith.science/pith/XFUSY2GDJH2VORQGYT7VANSHU2","bundle":"https://pith.science/pith/XFUSY2GDJH2VORQGYT7VANSHU2/bundle.json","state":"https://pith.science/pith/XFUSY2GDJH2VORQGYT7VANSHU2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XFUSY2GDJH2VORQGYT7VANSHU2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XFUSY2GDJH2VORQGYT7VANSHU2","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":"ed48aaeda4410c202b5f521c68477f29a3c0957ad5fd33ec0d8343f00172a6d1","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-07-24T14:39:20Z","title_canon_sha256":"394ccac553b45766127b22b06e93498da2c8f4ff02a8bc736547a18d71ad1d8b"},"schema_version":"1.0","source":{"id":"2507.18464","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.18464","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"arxiv_version","alias_value":"2507.18464v1","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.18464","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"pith_short_12","alias_value":"XFUSY2GDJH2V","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"pith_short_16","alias_value":"XFUSY2GDJH2VORQG","created_at":"2026-07-05T11:42:48Z"},{"alias_kind":"pith_short_8","alias_value":"XFUSY2GD","created_at":"2026-07-05T11:42:48Z"}],"graph_snapshots":[{"event_id":"sha256:6fa9305242623a757c73d6ecb249130be4526d3eb14bb94cd31b893af2cdf956","target":"graph","created_at":"2026-07-05T11:42:48Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2507.18464/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learning from non-stationary data streams subject to concept drift requires models that can adapt on-the-fly while remaining resource-efficient. Existing adaptive ensemble methods often rely on coarse-grained adaptation mechanisms or simple voting schemes that fail to optimally leverage specialized knowledge. This paper introduces DriftMoE, an online Mixture-of-Experts (MoE) architecture that addresses these limitations through a novel co-training framework. DriftMoE features a compact neural router that is co-trained alongside a pool of incremental Hoeffding tree experts. The key innovation l","authors_text":"Andr\\'es L. Su\\'arez-Cetrulo, Miguel Aspis, Ricardo Sim\\'on Carbajo, Sebasti\\'an A. Cajas Ord\\'onez","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-07-24T14:39:20Z","title":"DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.18464","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":"sha256:04246b6fc35df7e4e5d1bdda34834d49e3ec05aad9e16b188c657fc305fc5a13","target":"record","created_at":"2026-07-05T11:42:48Z","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":"ed48aaeda4410c202b5f521c68477f29a3c0957ad5fd33ec0d8343f00172a6d1","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2025-07-24T14:39:20Z","title_canon_sha256":"394ccac553b45766127b22b06e93498da2c8f4ff02a8bc736547a18d71ad1d8b"},"schema_version":"1.0","source":{"id":"2507.18464","kind":"arxiv","version":1}},"canonical_sha256":"b9692c68c349f5574606c4ff503647a699d5466c09edb789a0b150a877412b1e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9692c68c349f5574606c4ff503647a699d5466c09edb789a0b150a877412b1e","first_computed_at":"2026-07-05T11:42:48.388744Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:48.388744Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DcQP7RKZhyqzM/uib15JJOzt5j+c/CbUTPS0jIVN9/QMPJ5pnqvfOjJxKm3zDrQS5R4OTgYqV1i0rng8qQbCCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:48.389132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.18464","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:04246b6fc35df7e4e5d1bdda34834d49e3ec05aad9e16b188c657fc305fc5a13","sha256:6fa9305242623a757c73d6ecb249130be4526d3eb14bb94cd31b893af2cdf956"],"state_sha256":"4a713990245028032f2d897c798d32e886b21e91d9b3e4f75b87bf5d107be9a1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"y0yrt+ojF+ZcSwrQJ2k4z2kTh82l1s/dl23CjFC7FN8f5Yh+y1j2kGQyO9XEPh1/YYaQqk1FAfLW/4OTjNXOBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T23:39:09.344037Z","bundle_sha256":"f8980e19c1c75b4484c462cbc3836a5f2d75a5de1f84afdb1d9f096be4bd10ce"}}