{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:MI3HP3ZNSN5IOM3G6BM6QU3IGO","short_pith_number":"pith:MI3HP3ZN","canonical_record":{"source":{"id":"2110.14343","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-27T10:50:40Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"6c435fe622e245d86d10767cf7174e3cd5427191bd4abc7fa80f749701499ee9","abstract_canon_sha256":"0e9b54ddfdd5b1c364639f9a7b77b89ba563dff8f029dc2dde7f1e0675e483dd"},"schema_version":"1.0"},"canonical_sha256":"623677ef2d937a873366f059e8536833ae1134a75acc30c1eb47a16905dcab97","source":{"kind":"arxiv","id":"2110.14343","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.14343","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"arxiv_version","alias_value":"2110.14343v1","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.14343","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"pith_short_12","alias_value":"MI3HP3ZNSN5I","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"MI3HP3ZNSN5IOM3G","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"MI3HP3ZN","created_at":"2026-07-05T03:26:26Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:MI3HP3ZNSN5IOM3G6BM6QU3IGO","target":"record","payload":{"canonical_record":{"source":{"id":"2110.14343","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-27T10:50:40Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"6c435fe622e245d86d10767cf7174e3cd5427191bd4abc7fa80f749701499ee9","abstract_canon_sha256":"0e9b54ddfdd5b1c364639f9a7b77b89ba563dff8f029dc2dde7f1e0675e483dd"},"schema_version":"1.0"},"canonical_sha256":"623677ef2d937a873366f059e8536833ae1134a75acc30c1eb47a16905dcab97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:26:26.699994Z","signature_b64":"hUQTvDCSRkDabfBN016QZ4k6mE3f/aSKMgNxcHlZPvGXvlal5suzjXv3Eyf0VsFV5ouHOooztE14yxFijuVvBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"623677ef2d937a873366f059e8536833ae1134a75acc30c1eb47a16905dcab97","last_reissued_at":"2026-07-05T03:26:26.699646Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:26:26.699646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.14343","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":"2026-07-05T03:26:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Tr01YX/StLT+U95n2X0XAEZ6pSAX20oC6GMpq63nK0c3vwJBLdqC2bO8cGnMuJk2D8Uwimr7FTsYcTV4bTsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:49:09.158063Z"},"content_sha256":"a08f7a97fca83a8ba0a1287ea76847446880548b2f54c1d3c786be1a5cf2a59b","schema_version":"1.0","event_id":"sha256:a08f7a97fca83a8ba0a1287ea76847446880548b2f54c1d3c786be1a5cf2a59b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:MI3HP3ZNSN5IOM3G6BM6QU3IGO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.LG","authors_text":"Siyue Yang, Yukun Bao","submitted_at":"2021-10-27T10:50:40Z","abstract_excerpt":"Epidemics of influenza are major public health concerns. Since influenza prediction always relies on the weekly clinical or laboratory surveillance data, typically the weekly Influenza-like illness (ILI) rate series, accurate multi-step-ahead influenza predictions using ILI series is of great importance, especially, to the potential coming influenza outbreaks. This study proposes Comprehensive Learning Particle Swarm Optimization based Machine Learning (CLPSO-ML) framework incorporating support vector regression (SVR) and multilayer perceptron (MLP) for multi-step-ahead influenza prediction. A"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.14343","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/2110.14343/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":"2026-07-05T03:26:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fdHuwHoXNaoZxb1boWOUl9jCxdVfQCNxYRPArUk+cp+QUr9LV87f5ugwK5vgsdNGYnBVzlWXVzzi8eUPqCG+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:49:09.158729Z"},"content_sha256":"6f8003a194a711cd4930b59d7753e14c111756bcaf0c519aedf984d74527fcb3","schema_version":"1.0","event_id":"sha256:6f8003a194a711cd4930b59d7753e14c111756bcaf0c519aedf984d74527fcb3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO/bundle.json","state_url":"https://pith.science/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO/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":"2026-07-08T07:49:09Z","links":{"resolver":"https://pith.science/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO","bundle":"https://pith.science/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO/bundle.json","state":"https://pith.science/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MI3HP3ZNSN5IOM3G6BM6QU3IGO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:MI3HP3ZNSN5IOM3G6BM6QU3IGO","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":"0e9b54ddfdd5b1c364639f9a7b77b89ba563dff8f029dc2dde7f1e0675e483dd","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-27T10:50:40Z","title_canon_sha256":"6c435fe622e245d86d10767cf7174e3cd5427191bd4abc7fa80f749701499ee9"},"schema_version":"1.0","source":{"id":"2110.14343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.14343","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"arxiv_version","alias_value":"2110.14343v1","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.14343","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"pith_short_12","alias_value":"MI3HP3ZNSN5I","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"pith_short_16","alias_value":"MI3HP3ZNSN5IOM3G","created_at":"2026-07-05T03:26:26Z"},{"alias_kind":"pith_short_8","alias_value":"MI3HP3ZN","created_at":"2026-07-05T03:26:26Z"}],"graph_snapshots":[{"event_id":"sha256:6f8003a194a711cd4930b59d7753e14c111756bcaf0c519aedf984d74527fcb3","target":"graph","created_at":"2026-07-05T03:26:26Z","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/2110.14343/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Epidemics of influenza are major public health concerns. Since influenza prediction always relies on the weekly clinical or laboratory surveillance data, typically the weekly Influenza-like illness (ILI) rate series, accurate multi-step-ahead influenza predictions using ILI series is of great importance, especially, to the potential coming influenza outbreaks. This study proposes Comprehensive Learning Particle Swarm Optimization based Machine Learning (CLPSO-ML) framework incorporating support vector regression (SVR) and multilayer perceptron (MLP) for multi-step-ahead influenza prediction. A","authors_text":"Siyue Yang, Yukun Bao","cross_cats":["cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-27T10:50:40Z","title":"Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.14343","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:a08f7a97fca83a8ba0a1287ea76847446880548b2f54c1d3c786be1a5cf2a59b","target":"record","created_at":"2026-07-05T03:26:26Z","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":"0e9b54ddfdd5b1c364639f9a7b77b89ba563dff8f029dc2dde7f1e0675e483dd","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-10-27T10:50:40Z","title_canon_sha256":"6c435fe622e245d86d10767cf7174e3cd5427191bd4abc7fa80f749701499ee9"},"schema_version":"1.0","source":{"id":"2110.14343","kind":"arxiv","version":1}},"canonical_sha256":"623677ef2d937a873366f059e8536833ae1134a75acc30c1eb47a16905dcab97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"623677ef2d937a873366f059e8536833ae1134a75acc30c1eb47a16905dcab97","first_computed_at":"2026-07-05T03:26:26.699646Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:26:26.699646Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hUQTvDCSRkDabfBN016QZ4k6mE3f/aSKMgNxcHlZPvGXvlal5suzjXv3Eyf0VsFV5ouHOooztE14yxFijuVvBw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:26:26.699994Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.14343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a08f7a97fca83a8ba0a1287ea76847446880548b2f54c1d3c786be1a5cf2a59b","sha256:6f8003a194a711cd4930b59d7753e14c111756bcaf0c519aedf984d74527fcb3"],"state_sha256":"c445fcc05c8daf189c27c3ca483463728e0ee2db0bc8b22ad39ac3e876fd1ad3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jggtF5JNP86nj0p9UUyLaudczh+qj+27wgTOEi1lNq2U0f1ISFoU7yMZbw1EyIFmmXum4ej45Vu5HuK5ni9XAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T07:49:09.162621Z","bundle_sha256":"b0b02daf501d14c97d24f4612044f60473bfef81c281ed23e9073bab0dd447cd"}}