{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:QBCHQGCKNGVXFTYAXMVM646BXP","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":"45b75204d943e36d086970971d9d930bff2f89e499185a0dd0a8f8fcbd41dc9a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-28T13:35:37Z","title_canon_sha256":"5c57f8cd4be74413581dce3220643c6ab29c298abcf5fec979270e042c8890b9"},"schema_version":"1.0","source":{"id":"1807.10934","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1807.10934","created_at":"2026-05-18T00:09:34Z"},{"alias_kind":"arxiv_version","alias_value":"1807.10934v1","created_at":"2026-05-18T00:09:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1807.10934","created_at":"2026-05-18T00:09:34Z"},{"alias_kind":"pith_short_12","alias_value":"QBCHQGCKNGVX","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_16","alias_value":"QBCHQGCKNGVXFTYA","created_at":"2026-05-18T12:32:46Z"},{"alias_kind":"pith_short_8","alias_value":"QBCHQGCK","created_at":"2026-05-18T12:32:46Z"}],"graph_snapshots":[{"event_id":"sha256:8e6f6f6893093f3b9950cbabae34d2a0706ecd047167c68dd93a9a8892ae7ca7","target":"graph","created_at":"2026-05-18T00:09:34Z","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":"One fundamental issue in managing bike sharing systems is the bike flow prediction. Due to the hardness of predicting the flow for a single station, recent research works often predict the bike flow at cluster-level. While such studies gain satisfactory prediction accuracy, they cannot directly guide some fine-grained bike sharing system management issues at station-level. In this paper, we revisit the problem of the station-level bike flow prediction, aiming to boost the prediction accuracy leveraging the breakthroughs of deep learning techniques. We propose a new multi-graph convolutional ne","authors_text":"Di Chai, Leye Wang, Qiang Yang","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-28T13:35:37Z","title":"Bike Flow Prediction with Multi-Graph Convolutional Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1807.10934","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:eb3bc1ae373f16580f3345c6de8cdc15d5aff5bcbac1538eea3d8864258be448","target":"record","created_at":"2026-05-18T00:09:34Z","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":"45b75204d943e36d086970971d9d930bff2f89e499185a0dd0a8f8fcbd41dc9a","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-07-28T13:35:37Z","title_canon_sha256":"5c57f8cd4be74413581dce3220643c6ab29c298abcf5fec979270e042c8890b9"},"schema_version":"1.0","source":{"id":"1807.10934","kind":"arxiv","version":1}},"canonical_sha256":"804478184a69ab72cf00bb2acf73c1bbc86d56b23a3ccad124f39981039fa03d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"804478184a69ab72cf00bb2acf73c1bbc86d56b23a3ccad124f39981039fa03d","first_computed_at":"2026-05-18T00:09:34.966439Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:09:34.966439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rqOPWo8hQJby/oDsDJdQVwQRdRKOWjglbRt4QB3dV5maRvHRS24jT55sZN1p+o+LwXQxuG7FXzJoEKxA9jVnAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:09:34.966843Z","signed_message":"canonical_sha256_bytes"},"source_id":"1807.10934","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:eb3bc1ae373f16580f3345c6de8cdc15d5aff5bcbac1538eea3d8864258be448","sha256:8e6f6f6893093f3b9950cbabae34d2a0706ecd047167c68dd93a9a8892ae7ca7"],"state_sha256":"91c54daaacdddb297c9baf40ef5191c46e172786dbf5dbc76048dd6a8561f9fe"}