{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QQNLL25FCS7EN4GMHDPU2XUKKS","merge_version":"pith-open-graph-merge-v1","event_count":3,"valid_event_count":3,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"8dcb4c8e78724560981cb22802c66805e77bdcecd24eab1a0b38bd9376b9ec66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T11:08:39Z","title_canon_sha256":"d78f222050d0a56430253d986e2fb2227f32d280f2750ad2112b28017b9015fa"},"schema_version":"1.0","source":{"id":"2607.08357","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.08357","created_at":"2026-07-10T01:19:48Z"},{"alias_kind":"arxiv_version","alias_value":"2607.08357v1","created_at":"2026-07-10T01:19:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.08357","created_at":"2026-07-10T01:19:48Z"},{"alias_kind":"pith_short_12","alias_value":"QQNLL25FCS7E","created_at":"2026-07-10T01:19:48Z"},{"alias_kind":"pith_short_16","alias_value":"QQNLL25FCS7EN4GM","created_at":"2026-07-10T01:19:48Z"},{"alias_kind":"pith_short_8","alias_value":"QQNLL25F","created_at":"2026-07-10T01:19:48Z"}],"graph_snapshots":[{"event_id":"sha256:a309b9de4846ea1c49d84046c3dbec1fac48f64094cf31676c690d85c0110856","target":"graph","created_at":"2026-07-10T01:19:48Z","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/2607.08357/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human mobility data are essential for transportation optimization, urban planning, and resource allocation, yet real-world mobility data are costly to collect and difficult to share due to privacy concerns. Recent diffusion-based methods have shown promise in synthesizing realistic mobility patterns, but they typically rely on continuous or latent spatio-temporal traces, limiting their ability to natively model discrete semantic events with explicit region, activity, time, and interval structures. To address this issue, we introduce MobiDiff, an end-to-end discrete diffusion framework that eff","authors_text":"Dahai Yu, Desheng Zhang, Guang Wang, Lin Jiang, Rongchao Xu, Taichi Liu, Ximiao Li, Yuan Tian","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T11:08:39Z","title":"MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.08357","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":"sha256:58468e06f9806bdb758f2982b7be975bedc13d75fb3b1917313fb3d52603d70e","target":"record","created_at":"2026-07-10T01:19:48Z","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":"8dcb4c8e78724560981cb22802c66805e77bdcecd24eab1a0b38bd9376b9ec66","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2026-07-09T11:08:39Z","title_canon_sha256":"d78f222050d0a56430253d986e2fb2227f32d280f2750ad2112b28017b9015fa"},"schema_version":"1.0","source":{"id":"2607.08357","kind":"arxiv","version":1}},"canonical_sha256":"841ab5eba514be46f0cc38df4d5e8a54b0b55dfa79086e5976b6bdf8eaf0b8f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"841ab5eba514be46f0cc38df4d5e8a54b0b55dfa79086e5976b6bdf8eaf0b8f8","first_computed_at":"2026-07-10T01:19:48.025891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-10T01:19:48.025891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9Q7Foen0VKw/CWAzQusg4iaenXruLc2Qo7xJAc2TRQh5X7IRi7SFWe1gn49fjJeRBiAaHaQPYpaGSSdkHer8DA==","signature_status":"signed_v1","signed_at":"2026-07-10T01:19:48.026288Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.08357","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:58468e06f9806bdb758f2982b7be975bedc13d75fb3b1917313fb3d52603d70e","sha256:a309b9de4846ea1c49d84046c3dbec1fac48f64094cf31676c690d85c0110856","sha256:daa498c1a732b696a58e3415ccd03ee36eced24c5ad9a620bbee06ccf27c7c47"],"state_sha256":"10bb110648498edd6f9312902dd7c08759a1a4511dc202de21ec61eade0d9b7d"}