{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:2KR2CL6RFEHPWREMU4HB3HY5OT","short_pith_number":"pith:2KR2CL6R","schema_version":"1.0","canonical_sha256":"d2a3a12fd1290efb448ca70e1d9f1d74ce2b5925d57b733d7cad491628b3a975","source":{"kind":"arxiv","id":"1803.04782","version":2},"attestation_state":"computed","paper":{"title":"Improved OpenCL-based Implementation of Social Field Pedestrian Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.other"],"primary_cat":"cs.DC","authors_text":"Bin Yu, Kaiteng Wu, Ke Zhu, Michael Zhang","submitted_at":"2018-02-18T07:49:30Z","abstract_excerpt":"Two aspects of improvements are proposed for the OpenCL-based implementation of the social field pedestrian model. In the aspect of algorithm, a method based on the idea of divide-and-conquer is devised in order to overcome the problem of global memory depletion when fields are of a larger size. This is of importance for the study of finer pedestrian walking behavior, which usually requires larger fields. In the aspect of computation, the OpenCL heterogeneous framework is thoroughly studied. Factors that may affect the numerical efficiency are evaluated, with regarding to the social field mode"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1803.04782","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DC","submitted_at":"2018-02-18T07:49:30Z","cross_cats_sorted":["cond-mat.other"],"title_canon_sha256":"f8a69e7d564527595b250e3ea1d6bb067d89618840a2544537ec9dfd2c0bfe81","abstract_canon_sha256":"306cfca09fc9d6d84a7c28c961552dafeb31b1a22190a612060360fe10b249fd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:51.545011Z","signature_b64":"L2CN8eBdFBrscoKIc30QXT62HDs0rimS4o2DMSeU9O6qTPdNq5ayantcevY6ZQ6/a/k3sZQ/I6q7H1kB7laWBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d2a3a12fd1290efb448ca70e1d9f1d74ce2b5925d57b733d7cad491628b3a975","last_reissued_at":"2026-05-18T00:20:51.544472Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:51.544472Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Improved OpenCL-based Implementation of Social Field Pedestrian Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cond-mat.other"],"primary_cat":"cs.DC","authors_text":"Bin Yu, Kaiteng Wu, Ke Zhu, Michael Zhang","submitted_at":"2018-02-18T07:49:30Z","abstract_excerpt":"Two aspects of improvements are proposed for the OpenCL-based implementation of the social field pedestrian model. In the aspect of algorithm, a method based on the idea of divide-and-conquer is devised in order to overcome the problem of global memory depletion when fields are of a larger size. This is of importance for the study of finer pedestrian walking behavior, which usually requires larger fields. In the aspect of computation, the OpenCL heterogeneous framework is thoroughly studied. Factors that may affect the numerical efficiency are evaluated, with regarding to the social field mode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.04782","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"1803.04782","created_at":"2026-05-18T00:20:51.544540+00:00"},{"alias_kind":"arxiv_version","alias_value":"1803.04782v2","created_at":"2026-05-18T00:20:51.544540+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.04782","created_at":"2026-05-18T00:20:51.544540+00:00"},{"alias_kind":"pith_short_12","alias_value":"2KR2CL6RFEHP","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_16","alias_value":"2KR2CL6RFEHPWREM","created_at":"2026-05-18T12:32:02.567920+00:00"},{"alias_kind":"pith_short_8","alias_value":"2KR2CL6R","created_at":"2026-05-18T12:32:02.567920+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT","json":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT.json","graph_json":"https://pith.science/api/pith-number/2KR2CL6RFEHPWREMU4HB3HY5OT/graph.json","events_json":"https://pith.science/api/pith-number/2KR2CL6RFEHPWREMU4HB3HY5OT/events.json","paper":"https://pith.science/paper/2KR2CL6R"},"agent_actions":{"view_html":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT","download_json":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT.json","view_paper":"https://pith.science/paper/2KR2CL6R","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1803.04782&json=true","fetch_graph":"https://pith.science/api/pith-number/2KR2CL6RFEHPWREMU4HB3HY5OT/graph.json","fetch_events":"https://pith.science/api/pith-number/2KR2CL6RFEHPWREMU4HB3HY5OT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT/action/storage_attestation","attest_author":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT/action/author_attestation","sign_citation":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT/action/citation_signature","submit_replication":"https://pith.science/pith/2KR2CL6RFEHPWREMU4HB3HY5OT/action/replication_record"}},"created_at":"2026-05-18T00:20:51.544540+00:00","updated_at":"2026-05-18T00:20:51.544540+00:00"}