{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:7RUPHTVWGZ6YARM3N4EVMALVJM","short_pith_number":"pith:7RUPHTVW","canonical_record":{"source":{"id":"1907.09285","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-07-15T08:30:59Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"2f7d16c2097b9c5434c21a638439b524d848350fffa32d663ad2e27061cb6652","abstract_canon_sha256":"dc72b9b46aa1882d78d372fc6712e9bd2156538d919e71fef18ca85bc2edf59f"},"schema_version":"1.0"},"canonical_sha256":"fc68f3ceb6367d80459b6f095601754b2da79994e39ca8a13718f66ff43b988b","source":{"kind":"arxiv","id":"1907.09285","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.09285","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"1907.09285v1","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.09285","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"7RUPHTVWGZ6Y","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"7RUPHTVWGZ6YARM3","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"7RUPHTVW","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:7RUPHTVWGZ6YARM3N4EVMALVJM","target":"record","payload":{"canonical_record":{"source":{"id":"1907.09285","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-07-15T08:30:59Z","cross_cats_sorted":["cs.LG","cs.NE"],"title_canon_sha256":"2f7d16c2097b9c5434c21a638439b524d848350fffa32d663ad2e27061cb6652","abstract_canon_sha256":"dc72b9b46aa1882d78d372fc6712e9bd2156538d919e71fef18ca85bc2edf59f"},"schema_version":"1.0"},"canonical_sha256":"fc68f3ceb6367d80459b6f095601754b2da79994e39ca8a13718f66ff43b988b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:59.617300Z","signature_b64":"onWA/c5vBcLbESikMvfBuDrj9G6ZWqlPSAq0TIVMx+nJ2WTyYf8qHVlzA1NyxWtS46jiJII4Ku/XXdqT+BuiCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc68f3ceb6367d80459b6f095601754b2da79994e39ca8a13718f66ff43b988b","last_reissued_at":"2026-05-17T23:39:59.616811Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:59.616811Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1907.09285","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":"2026-05-17T23:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+y7Cwd9Iq3yrGro0xkpFT9Bj4nku/CG3OeHnktgdyplY1CYo2qMorcQw6c7mq/hjduNmjUk62bz8dVkY7rK3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:20:55.466729Z"},"content_sha256":"32a58ca5155f6c298d2d8ebabbb74897fb35148e3df189109aec5fb6432e0ab3","schema_version":"1.0","event_id":"sha256:32a58ca5155f6c298d2d8ebabbb74897fb35148e3df189109aec5fb6432e0ab3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:7RUPHTVWGZ6YARM3N4EVMALVJM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ParaFIS:A new online fuzzy inference system based on parallel drift anticipation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.NE"],"primary_cat":"cs.AI","authors_text":"Clement Leroy, Eric Anquetil, Nathalie Girard","submitted_at":"2019-07-15T08:30:59Z","abstract_excerpt":"This paper proposes a new architecture of incremen-tal fuzzy inference system (also called Evolving Fuzzy System-EFS). In the context of classifying data stream in non stationary environment, concept drifts problems must be addressed. Several studies have shown that EFS can deal with such environment thanks to their high structural flexibility. These EFS perform well with smooth drift (or incremental drift). The new architecture we propose is focused on improving the processing of brutal changes in the data distribution (often called brutal concept drift). More precisely, a generalized EFS is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.09285","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":"2026-05-17T23:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fEKup5RRjuNBYOlK3rngZNOcJRjjuhxPSXDTJr+UxfYLEaS+X20ZzQBrCTJGPp6cnI6qqSpmzW+RvTYf0FLMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T16:20:55.467074Z"},"content_sha256":"aece9467203e8108d710c08d3259935c6a35df391dbd040f9325bbf8151654f8","schema_version":"1.0","event_id":"sha256:aece9467203e8108d710c08d3259935c6a35df391dbd040f9325bbf8151654f8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7RUPHTVWGZ6YARM3N4EVMALVJM/bundle.json","state_url":"https://pith.science/pith/7RUPHTVWGZ6YARM3N4EVMALVJM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7RUPHTVWGZ6YARM3N4EVMALVJM/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":"2026-06-23T16:20:55Z","links":{"resolver":"https://pith.science/pith/7RUPHTVWGZ6YARM3N4EVMALVJM","bundle":"https://pith.science/pith/7RUPHTVWGZ6YARM3N4EVMALVJM/bundle.json","state":"https://pith.science/pith/7RUPHTVWGZ6YARM3N4EVMALVJM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7RUPHTVWGZ6YARM3N4EVMALVJM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:7RUPHTVWGZ6YARM3N4EVMALVJM","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":"dc72b9b46aa1882d78d372fc6712e9bd2156538d919e71fef18ca85bc2edf59f","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-07-15T08:30:59Z","title_canon_sha256":"2f7d16c2097b9c5434c21a638439b524d848350fffa32d663ad2e27061cb6652"},"schema_version":"1.0","source":{"id":"1907.09285","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1907.09285","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"1907.09285v1","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1907.09285","created_at":"2026-05-17T23:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"7RUPHTVWGZ6Y","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"7RUPHTVWGZ6YARM3","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"7RUPHTVW","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:aece9467203e8108d710c08d3259935c6a35df391dbd040f9325bbf8151654f8","target":"graph","created_at":"2026-05-17T23:39:59Z","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":"This paper proposes a new architecture of incremen-tal fuzzy inference system (also called Evolving Fuzzy System-EFS). In the context of classifying data stream in non stationary environment, concept drifts problems must be addressed. Several studies have shown that EFS can deal with such environment thanks to their high structural flexibility. These EFS perform well with smooth drift (or incremental drift). The new architecture we propose is focused on improving the processing of brutal changes in the data distribution (often called brutal concept drift). More precisely, a generalized EFS is ","authors_text":"Clement Leroy, Eric Anquetil, Nathalie Girard","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-07-15T08:30:59Z","title":"ParaFIS:A new online fuzzy inference system based on parallel drift anticipation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1907.09285","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":"sha256:32a58ca5155f6c298d2d8ebabbb74897fb35148e3df189109aec5fb6432e0ab3","target":"record","created_at":"2026-05-17T23:39:59Z","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":"dc72b9b46aa1882d78d372fc6712e9bd2156538d919e71fef18ca85bc2edf59f","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2019-07-15T08:30:59Z","title_canon_sha256":"2f7d16c2097b9c5434c21a638439b524d848350fffa32d663ad2e27061cb6652"},"schema_version":"1.0","source":{"id":"1907.09285","kind":"arxiv","version":1}},"canonical_sha256":"fc68f3ceb6367d80459b6f095601754b2da79994e39ca8a13718f66ff43b988b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fc68f3ceb6367d80459b6f095601754b2da79994e39ca8a13718f66ff43b988b","first_computed_at":"2026-05-17T23:39:59.616811Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:59.616811Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"onWA/c5vBcLbESikMvfBuDrj9G6ZWqlPSAq0TIVMx+nJ2WTyYf8qHVlzA1NyxWtS46jiJII4Ku/XXdqT+BuiCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:59.617300Z","signed_message":"canonical_sha256_bytes"},"source_id":"1907.09285","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:32a58ca5155f6c298d2d8ebabbb74897fb35148e3df189109aec5fb6432e0ab3","sha256:aece9467203e8108d710c08d3259935c6a35df391dbd040f9325bbf8151654f8"],"state_sha256":"f357325fd15033b82efebb890f6acbfa9938f68f1041fdd238372737a022f87d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JztpIuJAa2LGM4zL6OWZs4fB/+mWOqmj4ovZfyqKMYT29GTAeFDjt5e5Ebr28yBn38VPiZrUHHSxtj2C48yDBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T16:20:55.469086Z","bundle_sha256":"ece77c1e7fa2575d2c7bdd4437b3e4d85dd1eafd4729f36ec921be8cb94fea42"}}