{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:J6THGYGINJDVD2LSUDK4M2NJJN","short_pith_number":"pith:J6THGYGI","canonical_record":{"source":{"id":"2012.02825","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-04T19:59:39Z","cross_cats_sorted":["cs.AI","cs.SI"],"title_canon_sha256":"e57788c28a484772965b8f0469de64c6f51867225fa98d6493f855055617402e","abstract_canon_sha256":"382f946ee7422e911b486acf68f2162d6c3fb6898f26778bb708d478292d28f9"},"schema_version":"1.0"},"canonical_sha256":"4fa67360c86a4751e972a0d5c669a94b7126d9f90d41a708dd72d5f2fd0a69d2","source":{"kind":"arxiv","id":"2012.02825","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.02825","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"arxiv_version","alias_value":"2012.02825v2","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.02825","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"pith_short_12","alias_value":"J6THGYGINJDV","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"pith_short_16","alias_value":"J6THGYGINJDVD2LS","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"pith_short_8","alias_value":"J6THGYGI","created_at":"2026-07-05T04:18:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:J6THGYGINJDVD2LSUDK4M2NJJN","target":"record","payload":{"canonical_record":{"source":{"id":"2012.02825","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-04T19:59:39Z","cross_cats_sorted":["cs.AI","cs.SI"],"title_canon_sha256":"e57788c28a484772965b8f0469de64c6f51867225fa98d6493f855055617402e","abstract_canon_sha256":"382f946ee7422e911b486acf68f2162d6c3fb6898f26778bb708d478292d28f9"},"schema_version":"1.0"},"canonical_sha256":"4fa67360c86a4751e972a0d5c669a94b7126d9f90d41a708dd72d5f2fd0a69d2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:18:46.237501Z","signature_b64":"Ge4HPPjqLOZkzLY1l4cAnWzliicQFNEZJYzg4xTe2eJjr7XacO9X4T4f43XUjvWjt5gV/j4GFstNrFjoKqvMDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4fa67360c86a4751e972a0d5c669a94b7126d9f90d41a708dd72d5f2fd0a69d2","last_reissued_at":"2026-07-05T04:18:46.237049Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:18:46.237049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2012.02825","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":"2026-07-05T04:18:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EOVnaJjp5KSfky3Bek3aH0mCz1Mi6XU0u0VysbE1ADgxTxHzC8dLh3NdTwWTZCGxKW+34q7ob8iPCIuLWgu5Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T02:37:12.273127Z"},"content_sha256":"6f9f92450fa9d0093ae7bd29cc27cb3eab4c7d8a55f5465e41802a83942a9ba8","schema_version":"1.0","event_id":"sha256:6f9f92450fa9d0093ae7bd29cc27cb3eab4c7d8a55f5465e41802a83942a9ba8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:J6THGYGINJDVD2LSUDK4M2NJJN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on Deep Learning for Human Mobility","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.SI"],"primary_cat":"cs.LG","authors_text":"Bruno Lepri, Gianni Barlacchi, Luca Pappalardo, Massimiliano Luca","submitted_at":"2020-12-04T19:59:39Z","abstract_excerpt":"The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The proliferation of digital mobility data, such as phone records, GPS traces, and social media posts, combined with the predictive power of artificial intelligence, triggered the application of deep learning to human mobility. Existing surveys focus on single tasks, data sources, mechanistic or traditional machine learning approaches, while a comprehensive description of deep learning solutions is missing. This survey provides "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.02825","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2012.02825/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":"2026-07-05T04:18:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9IQdXj0szA6GWTfSg/KYvvpaoBTTvkwhkh/g15H4YbpWwW3EDiVKD91ym41UabiiXcwn2CJXHQ2KySn14UP7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T02:37:12.273466Z"},"content_sha256":"7a3371422493ddce7154b26bfe4ce13cc24bc3a205b125ecd9065723d6c670bf","schema_version":"1.0","event_id":"sha256:7a3371422493ddce7154b26bfe4ce13cc24bc3a205b125ecd9065723d6c670bf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J6THGYGINJDVD2LSUDK4M2NJJN/bundle.json","state_url":"https://pith.science/pith/J6THGYGINJDVD2LSUDK4M2NJJN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J6THGYGINJDVD2LSUDK4M2NJJN/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":"2026-08-19T02:37:12Z","links":{"resolver":"https://pith.science/pith/J6THGYGINJDVD2LSUDK4M2NJJN","bundle":"https://pith.science/pith/J6THGYGINJDVD2LSUDK4M2NJJN/bundle.json","state":"https://pith.science/pith/J6THGYGINJDVD2LSUDK4M2NJJN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J6THGYGINJDVD2LSUDK4M2NJJN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:J6THGYGINJDVD2LSUDK4M2NJJN","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":"382f946ee7422e911b486acf68f2162d6c3fb6898f26778bb708d478292d28f9","cross_cats_sorted":["cs.AI","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-04T19:59:39Z","title_canon_sha256":"e57788c28a484772965b8f0469de64c6f51867225fa98d6493f855055617402e"},"schema_version":"1.0","source":{"id":"2012.02825","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2012.02825","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"arxiv_version","alias_value":"2012.02825v2","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2012.02825","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"pith_short_12","alias_value":"J6THGYGINJDV","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"pith_short_16","alias_value":"J6THGYGINJDVD2LS","created_at":"2026-07-05T04:18:46Z"},{"alias_kind":"pith_short_8","alias_value":"J6THGYGI","created_at":"2026-07-05T04:18:46Z"}],"graph_snapshots":[{"event_id":"sha256:7a3371422493ddce7154b26bfe4ce13cc24bc3a205b125ecd9065723d6c670bf","target":"graph","created_at":"2026-07-05T04:18:46Z","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/2012.02825/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The study of human mobility is crucial due to its impact on several aspects of our society, such as disease spreading, urban planning, well-being, pollution, and more. The proliferation of digital mobility data, such as phone records, GPS traces, and social media posts, combined with the predictive power of artificial intelligence, triggered the application of deep learning to human mobility. Existing surveys focus on single tasks, data sources, mechanistic or traditional machine learning approaches, while a comprehensive description of deep learning solutions is missing. This survey provides ","authors_text":"Bruno Lepri, Gianni Barlacchi, Luca Pappalardo, Massimiliano Luca","cross_cats":["cs.AI","cs.SI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-04T19:59:39Z","title":"A Survey on Deep Learning for Human Mobility"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2012.02825","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":"sha256:6f9f92450fa9d0093ae7bd29cc27cb3eab4c7d8a55f5465e41802a83942a9ba8","target":"record","created_at":"2026-07-05T04:18:46Z","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":"382f946ee7422e911b486acf68f2162d6c3fb6898f26778bb708d478292d28f9","cross_cats_sorted":["cs.AI","cs.SI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2020-12-04T19:59:39Z","title_canon_sha256":"e57788c28a484772965b8f0469de64c6f51867225fa98d6493f855055617402e"},"schema_version":"1.0","source":{"id":"2012.02825","kind":"arxiv","version":2}},"canonical_sha256":"4fa67360c86a4751e972a0d5c669a94b7126d9f90d41a708dd72d5f2fd0a69d2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4fa67360c86a4751e972a0d5c669a94b7126d9f90d41a708dd72d5f2fd0a69d2","first_computed_at":"2026-07-05T04:18:46.237049Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:18:46.237049Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ge4HPPjqLOZkzLY1l4cAnWzliicQFNEZJYzg4xTe2eJjr7XacO9X4T4f43XUjvWjt5gV/j4GFstNrFjoKqvMDA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:18:46.237501Z","signed_message":"canonical_sha256_bytes"},"source_id":"2012.02825","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6f9f92450fa9d0093ae7bd29cc27cb3eab4c7d8a55f5465e41802a83942a9ba8","sha256:7a3371422493ddce7154b26bfe4ce13cc24bc3a205b125ecd9065723d6c670bf"],"state_sha256":"1fa409607190bf863e0a7892896d45c598401220db4020976732bdb25fc27623"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7A90RXkPxgfuKq7CW6+uwYE8MmUA9/pn1Dn34OX3sLnn+S6gw+foM88lIQwK+4SbPb57q9+6EiQXkQhp+PwcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T02:37:12.276682Z","bundle_sha256":"13e3e43a802946f4fe77eaa01c46acea286374c2a3cfae07d756895a9194e9cf"}}