{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:JMRAOE54PMHRIGC5FCVBAVMOP3","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":"fb402c7ca0f32682c33e79fb7ba3dab2d8063714f0303dcf389be9fa8e7c05a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-07-31T03:48:28Z","title_canon_sha256":"bfb2d1bfbf0dbd5c850205839cacddef714d46c563accc9c5177d4527f43d549"},"schema_version":"1.0","source":{"id":"2007.15828","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2007.15828","created_at":"2026-07-05T02:20:29Z"},{"alias_kind":"arxiv_version","alias_value":"2007.15828v4","created_at":"2026-07-05T02:20:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2007.15828","created_at":"2026-07-05T02:20:29Z"},{"alias_kind":"pith_short_12","alias_value":"JMRAOE54PMHR","created_at":"2026-07-05T02:20:29Z"},{"alias_kind":"pith_short_16","alias_value":"JMRAOE54PMHRIGC5","created_at":"2026-07-05T02:20:29Z"},{"alias_kind":"pith_short_8","alias_value":"JMRAOE54","created_at":"2026-07-05T02:20:29Z"}],"graph_snapshots":[{"event_id":"sha256:1d2b838d2b245790056d451cd83acc680cfdef6bc193fc033a6188876db88342","target":"graph","created_at":"2026-07-05T02:20:29Z","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/2007.15828/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Density map is an effective visualization technique for depicting the scalar field distribution in 2D space. Conventional methods for constructing density maps are mainly based on Euclidean distance, limiting their applicability in urban analysis that shall consider road network and urban traffic. In this work, we propose a new method named Topology Density Map, targeting for accurate and intuitive density maps in the context of urban environment. Based on the various constraints of road connections and traffic conditions, the method first constructs a directed acyclic graph (DAG) that propaga","authors_text":"Haotian Li, Huamin Qu, Shuang-hua Yang, Wei Zeng, Zezheng Feng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-07-31T03:48:28Z","title":"Topology Density Map for Urban Data Visualization and Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2007.15828","kind":"arxiv","version":4},"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:e04e8ae1cc19ec51c524814f5586b7d500d67bef643f2f4c1c6db4a2765c29a0","target":"record","created_at":"2026-07-05T02:20:29Z","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":"fb402c7ca0f32682c33e79fb7ba3dab2d8063714f0303dcf389be9fa8e7c05a6","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2020-07-31T03:48:28Z","title_canon_sha256":"bfb2d1bfbf0dbd5c850205839cacddef714d46c563accc9c5177d4527f43d549"},"schema_version":"1.0","source":{"id":"2007.15828","kind":"arxiv","version":4}},"canonical_sha256":"4b220713bc7b0f14185d28aa10558e7ee9c72688cb2aef8163d28ff26e83236e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b220713bc7b0f14185d28aa10558e7ee9c72688cb2aef8163d28ff26e83236e","first_computed_at":"2026-07-05T02:20:29.233687Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:29.233687Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7H53v0zf1/3yV5wfL+z8YJd5dvzTmmUnC7NdIdPTJYSpO2b+c0SQrM8KxrqyCRigovA3v/aXZH0Bw+m/d8ahBw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:29.234134Z","signed_message":"canonical_sha256_bytes"},"source_id":"2007.15828","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e04e8ae1cc19ec51c524814f5586b7d500d67bef643f2f4c1c6db4a2765c29a0","sha256:1d2b838d2b245790056d451cd83acc680cfdef6bc193fc033a6188876db88342"],"state_sha256":"fc5424f3af0768874b853a153d749fddf8ed579888a8b47ca7b051b8177f09e2"}