{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:PYH6VUFK6LOMNNI47PNU3PVJRZ","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":"a112e86d6c6ba6341d3edc1c01da90c15a223e554297e7908c4e126b2032e28d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-07T15:40:08Z","title_canon_sha256":"ad082e0c2e0ea63877c4a6020cdb11129ef4fd161993d488be8a612d8e63a0b2"},"schema_version":"1.0","source":{"id":"1705.02636","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.02636","created_at":"2026-05-18T00:36:24Z"},{"alias_kind":"arxiv_version","alias_value":"1705.02636v2","created_at":"2026-05-18T00:36:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.02636","created_at":"2026-05-18T00:36:24Z"},{"alias_kind":"pith_short_12","alias_value":"PYH6VUFK6LOM","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_16","alias_value":"PYH6VUFK6LOMNNI4","created_at":"2026-05-18T12:31:37Z"},{"alias_kind":"pith_short_8","alias_value":"PYH6VUFK","created_at":"2026-05-18T12:31:37Z"}],"graph_snapshots":[{"event_id":"sha256:6138740b2c6dae339a750cb91ab91a40188f7e33caec8cf9f6e276cf5a961d4c","target":"graph","created_at":"2026-05-18T00:36:24Z","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":"Understanding and discovering knowledge from GPS (Global Positioning System) traces of human activities is an essential topic in mobility-based urban computing. We propose TrajectoryNet-a neural network architecture for point-based trajectory classification to infer real world human transportation modes from GPS traces. To overcome the challenge of capturing the underlying latent factors in the low-dimensional and heterogeneous feature space imposed by GPS data, we develop a novel representation that embeds the original feature space into another space that can be understood as a form of basis","authors_text":"Ahmad Pesaranghader, Baifan Hu, Daniel L. Silver, Erico N de Souza, Stan Matwin, Xiang Jiang","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-07T15:40:08Z","title":"TrajectoryNet: An Embedded GPS Trajectory Representation for Point-based Classification Using Recurrent Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.02636","kind":"arxiv","version":2},"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":"sha256:661242730735be3f412c85874170fd6e33267a817e5636f6d44ecf5ae96be420","target":"record","created_at":"2026-05-18T00:36:24Z","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":"a112e86d6c6ba6341d3edc1c01da90c15a223e554297e7908c4e126b2032e28d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-05-07T15:40:08Z","title_canon_sha256":"ad082e0c2e0ea63877c4a6020cdb11129ef4fd161993d488be8a612d8e63a0b2"},"schema_version":"1.0","source":{"id":"1705.02636","kind":"arxiv","version":2}},"canonical_sha256":"7e0fead0aaf2dcc6b51cfbdb4dbea98e6060ba54caa0f23b78c68d20532cafde","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7e0fead0aaf2dcc6b51cfbdb4dbea98e6060ba54caa0f23b78c68d20532cafde","first_computed_at":"2026-05-18T00:36:24.143637Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:36:24.143637Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dB4eRlAMEv+hBmZtKz5ZfAPhy/XavP2qAsFUTchiiqNy42WJtHGtSud8ioQ7ti34fcDGp6R5OXlDHso0oFkwDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:36:24.144364Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.02636","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:661242730735be3f412c85874170fd6e33267a817e5636f6d44ecf5ae96be420","sha256:6138740b2c6dae339a750cb91ab91a40188f7e33caec8cf9f6e276cf5a961d4c"],"state_sha256":"3b85052770aa526b26fe3e725f86b79560fa804ce07851c12557b1520eee07fb"}