{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:3ZGPZU2X6X355BSIMSM7QZZO6J","short_pith_number":"pith:3ZGPZU2X","canonical_record":{"source":{"id":"1707.01627","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-07-06T03:58:15Z","cross_cats_sorted":[],"title_canon_sha256":"6428da892877e794826799b1455d7d97d6ade72db8cf3dd66a01677459d104c5","abstract_canon_sha256":"c0f734c5d23909ffa92f541edd844ca0126244a1c195f984526131a004e5f86e"},"schema_version":"1.0"},"canonical_sha256":"de4cfcd357f5f7de86486499f8672ef27de9de96a92563dce0a86107f0425a61","source":{"kind":"arxiv","id":"1707.01627","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01627","created_at":"2026-05-18T00:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01627v2","created_at":"2026-05-18T00:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01627","created_at":"2026-05-18T00:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"3ZGPZU2X6X35","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3ZGPZU2X6X355BSI","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3ZGPZU2X","created_at":"2026-05-18T12:30:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:3ZGPZU2X6X355BSIMSM7QZZO6J","target":"record","payload":{"canonical_record":{"source":{"id":"1707.01627","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-07-06T03:58:15Z","cross_cats_sorted":[],"title_canon_sha256":"6428da892877e794826799b1455d7d97d6ade72db8cf3dd66a01677459d104c5","abstract_canon_sha256":"c0f734c5d23909ffa92f541edd844ca0126244a1c195f984526131a004e5f86e"},"schema_version":"1.0"},"canonical_sha256":"de4cfcd357f5f7de86486499f8672ef27de9de96a92563dce0a86107f0425a61","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:59.349105Z","signature_b64":"VoezuQ7YETLh0NHjj1N+QD/y9UuNW5XFdVpCdbD0XLrNQ+0O7i1xFWe8b6ES1MZZjqAFrCoYa8JFfDP78QgkAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"de4cfcd357f5f7de86486499f8672ef27de9de96a92563dce0a86107f0425a61","last_reissued_at":"2026-05-18T00:39:59.348386Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:59.348386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.01627","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R/0TA8StCHHMXCo+GvJxnRhC4e+E/7RpVsMrmK9feSg6iFrzTI19f2nic3d2J8KdjRtSKnt/62DM3CexuXgEAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:37:25.660685Z"},"content_sha256":"369a37dad90ae975745b2cd3f089ee5461ed0eabf044e48de31f27eabe970ce4","schema_version":"1.0","event_id":"sha256:369a37dad90ae975745b2cd3f089ee5461ed0eabf044e48de31f27eabe970ce4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:3ZGPZU2X6X355BSIMSM7QZZO6J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PathRec: Visual Analysis of Travel Route Recommendations","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Aditya Krishna Menon, Cheng Soon Ong, Dawei Chen, Dongwoo Kim, Iman Avazpour, John Grundy, Lexing Xie, Minjeong Shin","submitted_at":"2017-07-06T03:58:15Z","abstract_excerpt":"We present an interactive visualisation tool for recommending travel trajectories. This system is based on new machine learning formulations and algorithms for the sequence recommendation problem. The system starts from a map-based overview, taking an interactive query as starting point. It then breaks down contributions from different geographical and user behavior features, and those from individual points-of-interest versus pairs of consecutive points on a route. The system also supports detailed quantitative interrogation by comparing a large number of features for multiple points. Effecti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01627","kind":"arxiv","version":2},"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":"2026-05-18T00:39:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZEwZRoqnE/7oJ7EcY7nNKVMHx95YPi/75Ds8okg47Y9ae/KIk0/Et8Uh52cFMJiOcSWkMloqSrcJAQrpSja9DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T07:37:25.661389Z"},"content_sha256":"c501579880d5fba980bb2b3cce841491b4b28dd509e8ff8cd43617b4e46af6ed","schema_version":"1.0","event_id":"sha256:c501579880d5fba980bb2b3cce841491b4b28dd509e8ff8cd43617b4e46af6ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3ZGPZU2X6X355BSIMSM7QZZO6J/bundle.json","state_url":"https://pith.science/pith/3ZGPZU2X6X355BSIMSM7QZZO6J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3ZGPZU2X6X355BSIMSM7QZZO6J/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":"2026-05-26T07:37:25Z","links":{"resolver":"https://pith.science/pith/3ZGPZU2X6X355BSIMSM7QZZO6J","bundle":"https://pith.science/pith/3ZGPZU2X6X355BSIMSM7QZZO6J/bundle.json","state":"https://pith.science/pith/3ZGPZU2X6X355BSIMSM7QZZO6J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3ZGPZU2X6X355BSIMSM7QZZO6J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:3ZGPZU2X6X355BSIMSM7QZZO6J","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":"c0f734c5d23909ffa92f541edd844ca0126244a1c195f984526131a004e5f86e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-07-06T03:58:15Z","title_canon_sha256":"6428da892877e794826799b1455d7d97d6ade72db8cf3dd66a01677459d104c5"},"schema_version":"1.0","source":{"id":"1707.01627","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.01627","created_at":"2026-05-18T00:39:59Z"},{"alias_kind":"arxiv_version","alias_value":"1707.01627v2","created_at":"2026-05-18T00:39:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.01627","created_at":"2026-05-18T00:39:59Z"},{"alias_kind":"pith_short_12","alias_value":"3ZGPZU2X6X35","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_16","alias_value":"3ZGPZU2X6X355BSI","created_at":"2026-05-18T12:30:58Z"},{"alias_kind":"pith_short_8","alias_value":"3ZGPZU2X","created_at":"2026-05-18T12:30:58Z"}],"graph_snapshots":[{"event_id":"sha256:c501579880d5fba980bb2b3cce841491b4b28dd509e8ff8cd43617b4e46af6ed","target":"graph","created_at":"2026-05-18T00:39:59Z","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":"We present an interactive visualisation tool for recommending travel trajectories. This system is based on new machine learning formulations and algorithms for the sequence recommendation problem. The system starts from a map-based overview, taking an interactive query as starting point. It then breaks down contributions from different geographical and user behavior features, and those from individual points-of-interest versus pairs of consecutive points on a route. The system also supports detailed quantitative interrogation by comparing a large number of features for multiple points. Effecti","authors_text":"Aditya Krishna Menon, Cheng Soon Ong, Dawei Chen, Dongwoo Kim, Iman Avazpour, John Grundy, Lexing Xie, Minjeong Shin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-07-06T03:58:15Z","title":"PathRec: Visual Analysis of Travel Route Recommendations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.01627","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":"sha256:369a37dad90ae975745b2cd3f089ee5461ed0eabf044e48de31f27eabe970ce4","target":"record","created_at":"2026-05-18T00:39:59Z","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":"c0f734c5d23909ffa92f541edd844ca0126244a1c195f984526131a004e5f86e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2017-07-06T03:58:15Z","title_canon_sha256":"6428da892877e794826799b1455d7d97d6ade72db8cf3dd66a01677459d104c5"},"schema_version":"1.0","source":{"id":"1707.01627","kind":"arxiv","version":2}},"canonical_sha256":"de4cfcd357f5f7de86486499f8672ef27de9de96a92563dce0a86107f0425a61","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"de4cfcd357f5f7de86486499f8672ef27de9de96a92563dce0a86107f0425a61","first_computed_at":"2026-05-18T00:39:59.348386Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:59.348386Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VoezuQ7YETLh0NHjj1N+QD/y9UuNW5XFdVpCdbD0XLrNQ+0O7i1xFWe8b6ES1MZZjqAFrCoYa8JFfDP78QgkAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:59.349105Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.01627","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:369a37dad90ae975745b2cd3f089ee5461ed0eabf044e48de31f27eabe970ce4","sha256:c501579880d5fba980bb2b3cce841491b4b28dd509e8ff8cd43617b4e46af6ed"],"state_sha256":"422c22624b15f2571dc67e89bdc84406258349be3a177e00a357e10624d8a0c1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2ej/w1FZpKWEVwlHm+RJNfU48YJ2TWHYi+OrwsHVYqkgKkeLPW58l6dJfPgBR5h2yGRZ+MP1rwXDadebqyQSAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T07:37:25.665094Z","bundle_sha256":"0ecf2507c542cb427bc09e7a3dcb57aef1910b56ff7fa019eb6220b739454b88"}}