{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:SW76IKZX4LLB7DIFQTVK6Z35LQ","short_pith_number":"pith:SW76IKZX","schema_version":"1.0","canonical_sha256":"95bfe42b37e2d61f8d0584eaaf677d5c14c9c28f67cbf7387f3f63d51d0596bd","source":{"kind":"arxiv","id":"1903.04554","version":1},"attestation_state":"computed","paper":{"title":"Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Ali Rahmati, Huaiyu Dai, Seyyedali Hosseinalipour","submitted_at":"2019-03-11T19:21:54Z","abstract_excerpt":"Vehicular ad-hoc networks (VANETs) have recently attracted a lot of attention due to their immense potentials and applications. Wide range of coverage and accessibility to end users make VANETs a good target for commercial companies. In this paper, we consider a scenario in which advertising companies aim to disseminate their advertisements in different areas of a city by utilizing VANETs infrastructure. These companies compete for renting the VANETs infrastructure to spread their advertisements. We partition the city map into different blocks, and consider a manager for all the blocks who is "},"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":"1903.04554","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2019-03-11T19:21:54Z","cross_cats_sorted":[],"title_canon_sha256":"50cd97cf2a5f26eb89142b7683b79d24ae34acea6ae894cc67ca0fd78cd0ebf9","abstract_canon_sha256":"69f77ef132f65bc478012661d810d11d7c1bb18f2d854a17b2d9ad6a50663ebc"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:29.301349Z","signature_b64":"LjpVY7WSzdF4/IZ61jDrp6xSVE1FqO7ndg/9fR0K9gfRVLXAAcQenAkpMUqmg3KhgZQ6+rk/r+su1AsMNm30CA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95bfe42b37e2d61f8d0584eaaf677d5c14c9c28f67cbf7387f3f63d51d0596bd","last_reissued_at":"2026-05-17T23:51:29.300933Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:29.300933Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Optimal Time Allocation in VANETs Advertising: A Price-based Approach using Stackelberg Game","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Ali Rahmati, Huaiyu Dai, Seyyedali Hosseinalipour","submitted_at":"2019-03-11T19:21:54Z","abstract_excerpt":"Vehicular ad-hoc networks (VANETs) have recently attracted a lot of attention due to their immense potentials and applications. Wide range of coverage and accessibility to end users make VANETs a good target for commercial companies. In this paper, we consider a scenario in which advertising companies aim to disseminate their advertisements in different areas of a city by utilizing VANETs infrastructure. These companies compete for renting the VANETs infrastructure to spread their advertisements. We partition the city map into different blocks, and consider a manager for all the blocks who is "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04554","kind":"arxiv","version":1},"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":"1903.04554","created_at":"2026-05-17T23:51:29.300987+00:00"},{"alias_kind":"arxiv_version","alias_value":"1903.04554v1","created_at":"2026-05-17T23:51:29.300987+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04554","created_at":"2026-05-17T23:51:29.300987+00:00"},{"alias_kind":"pith_short_12","alias_value":"SW76IKZX4LLB","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_16","alias_value":"SW76IKZX4LLB7DIF","created_at":"2026-05-18T12:33:27.125529+00:00"},{"alias_kind":"pith_short_8","alias_value":"SW76IKZX","created_at":"2026-05-18T12:33:27.125529+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/SW76IKZX4LLB7DIFQTVK6Z35LQ","json":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ.json","graph_json":"https://pith.science/api/pith-number/SW76IKZX4LLB7DIFQTVK6Z35LQ/graph.json","events_json":"https://pith.science/api/pith-number/SW76IKZX4LLB7DIFQTVK6Z35LQ/events.json","paper":"https://pith.science/paper/SW76IKZX"},"agent_actions":{"view_html":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ","download_json":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ.json","view_paper":"https://pith.science/paper/SW76IKZX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1903.04554&json=true","fetch_graph":"https://pith.science/api/pith-number/SW76IKZX4LLB7DIFQTVK6Z35LQ/graph.json","fetch_events":"https://pith.science/api/pith-number/SW76IKZX4LLB7DIFQTVK6Z35LQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ/action/storage_attestation","attest_author":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ/action/author_attestation","sign_citation":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ/action/citation_signature","submit_replication":"https://pith.science/pith/SW76IKZX4LLB7DIFQTVK6Z35LQ/action/replication_record"}},"created_at":"2026-05-17T23:51:29.300987+00:00","updated_at":"2026-05-17T23:51:29.300987+00:00"}