{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:WIUX3IQ7E7QVKBYLAA6FKV6OYC","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":"27309ed0cf9649e2dd356e18b7f95f9ff29583b1fed92e0628c1708324c631f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-11T13:32:49Z","title_canon_sha256":"a8636326aa0b1fb7c69bad146cf777155813712604a7053be9f572f1b3d3b362"},"schema_version":"1.0","source":{"id":"2212.05502","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2212.05502","created_at":"2026-07-05T05:24:16Z"},{"alias_kind":"arxiv_version","alias_value":"2212.05502v1","created_at":"2026-07-05T05:24:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.05502","created_at":"2026-07-05T05:24:16Z"},{"alias_kind":"pith_short_12","alias_value":"WIUX3IQ7E7QV","created_at":"2026-07-05T05:24:16Z"},{"alias_kind":"pith_short_16","alias_value":"WIUX3IQ7E7QVKBYL","created_at":"2026-07-05T05:24:16Z"},{"alias_kind":"pith_short_8","alias_value":"WIUX3IQ7","created_at":"2026-07-05T05:24:16Z"}],"graph_snapshots":[{"event_id":"sha256:ad11e47055cbfe2afe40222d06d21e3be84b09d756ae61acb045b1f049daee0f","target":"graph","created_at":"2026-07-05T05:24:16Z","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/2212.05502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transportation mode classification, the process of predicting the class labels of moving objects transportation modes, has been widely applied to a variety of real world applications, such as traffic management, urban computing, and behavior study. However, existing studies of transportation mode classification typically extract the explicit features of trajectory data but fail to capture the implicit features that affect the classification performance. In addition, most of the existing studies also prefer to apply RNN-based models to embed trajectories, which is only suitable for classifying ","authors_text":"Chunhui Shen, Danlei Hu, Hanxi Fang, Lu Chen, Tianyi Li, Yunjun Gao, Ziquan Fang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-11T13:32:49Z","title":"Estimator: An Effective and Scalable Framework for Transportation Mode Classification over Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.05502","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":"sha256:701e4d1224c2dd2640b1697a0372a7684939da99b0f66a67fb3cd58d9a2cc82a","target":"record","created_at":"2026-07-05T05:24:16Z","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":"27309ed0cf9649e2dd356e18b7f95f9ff29583b1fed92e0628c1708324c631f5","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-12-11T13:32:49Z","title_canon_sha256":"a8636326aa0b1fb7c69bad146cf777155813712604a7053be9f572f1b3d3b362"},"schema_version":"1.0","source":{"id":"2212.05502","kind":"arxiv","version":1}},"canonical_sha256":"b2297da21f27e155070b003c5557cec0a6ce1a68d3e3d7c226d0ba3b76d20478","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2297da21f27e155070b003c5557cec0a6ce1a68d3e3d7c226d0ba3b76d20478","first_computed_at":"2026-07-05T05:24:16.296566Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:24:16.296566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5KnuUPznMbDlaU4YbVeTHL5aL44geHkMZV3IcLnYMpnt+90haeg7gCySdn6Etf9B5WsKYBVFYe4EHW1h2V8pDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:24:16.297018Z","signed_message":"canonical_sha256_bytes"},"source_id":"2212.05502","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:701e4d1224c2dd2640b1697a0372a7684939da99b0f66a67fb3cd58d9a2cc82a","sha256:ad11e47055cbfe2afe40222d06d21e3be84b09d756ae61acb045b1f049daee0f"],"state_sha256":"3e85d260d8238fd7f7787717294816d7cf0fd5913f04e5bca2f5a76594a95786"}