{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:KP52F3E3UDGPY5DP77CWXENBFQ","short_pith_number":"pith:KP52F3E3","schema_version":"1.0","canonical_sha256":"53fba2ec9ba0ccfc746fffc56b91a12c06aeb2abac5dc128bcfbaff7bbdeadf2","source":{"kind":"arxiv","id":"2603.18670","version":2},"attestation_state":"computed","paper":{"title":"Masking Intent, Sustaining Equilibrium: Risk-Aware Potential-Game-Based Service Provision in Dynamic Mobile Crowdsensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Houyi Qi, Kaiwen Tan, Minghui Liwang, Sai Zou, Wei Ni, Wenyong Wang, Xianbin Wang, Yiguang Hong","submitted_at":"2026-03-19T09:31:59Z","abstract_excerpt":"Mobile crowdsensing (MCS) is evolving from basic data collection to dynamic service provisioning, where platforms must maintain task completion, budget feasibility, and sensing quality under uncertain worker availability. Beyond raw-data and location privacy, workers' long-term intent traces, such as task-selection tendencies and participation histories, can be exploited by an honest-but-curious platform to infer private preferences from one or multiple allocation snapshots. Worker dropouts and execution uncertainty further destabilize sensing coverage, while frequent global re-optimization in"},"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":"2603.18670","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NI","submitted_at":"2026-03-19T09:31:59Z","cross_cats_sorted":[],"title_canon_sha256":"cd2ff029a2822f890b2b55e645c75d9aa7c13cb155ce3280297dc5b136a9268d","abstract_canon_sha256":"7a71a5574df98fd6dd2cd98b152512d1411648154d6eb68901ad08e5d07d37ed"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:01.470017Z","signature_b64":"XKZjPJASwbg1UFbxLgADJeGbr1y27ot3uhP58PiCe407f9ZLgTyLKrur/F8hOZ6x4bxDDu/IBjZ4sj/s1w/0Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"53fba2ec9ba0ccfc746fffc56b91a12c06aeb2abac5dc128bcfbaff7bbdeadf2","last_reissued_at":"2026-06-08T01:04:01.468747Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:01.468747Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Masking Intent, Sustaining Equilibrium: Risk-Aware Potential-Game-Based Service Provision in Dynamic Mobile Crowdsensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.NI","authors_text":"Houyi Qi, Kaiwen Tan, Minghui Liwang, Sai Zou, Wei Ni, Wenyong Wang, Xianbin Wang, Yiguang Hong","submitted_at":"2026-03-19T09:31:59Z","abstract_excerpt":"Mobile crowdsensing (MCS) is evolving from basic data collection to dynamic service provisioning, where platforms must maintain task completion, budget feasibility, and sensing quality under uncertain worker availability. Beyond raw-data and location privacy, workers' long-term intent traces, such as task-selection tendencies and participation histories, can be exploited by an honest-but-curious platform to infer private preferences from one or multiple allocation snapshots. Worker dropouts and execution uncertainty further destabilize sensing coverage, while frequent global re-optimization in"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2603.18670","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/2603.18670/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2603.18670","created_at":"2026-06-08T01:04:01.468899+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.18670v2","created_at":"2026-06-08T01:04:01.468899+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.18670","created_at":"2026-06-08T01:04:01.468899+00:00"},{"alias_kind":"pith_short_12","alias_value":"KP52F3E3UDGP","created_at":"2026-06-08T01:04:01.468899+00:00"},{"alias_kind":"pith_short_16","alias_value":"KP52F3E3UDGPY5DP","created_at":"2026-06-08T01:04:01.468899+00:00"},{"alias_kind":"pith_short_8","alias_value":"KP52F3E3","created_at":"2026-06-08T01:04:01.468899+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/KP52F3E3UDGPY5DP77CWXENBFQ","json":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ.json","graph_json":"https://pith.science/api/pith-number/KP52F3E3UDGPY5DP77CWXENBFQ/graph.json","events_json":"https://pith.science/api/pith-number/KP52F3E3UDGPY5DP77CWXENBFQ/events.json","paper":"https://pith.science/paper/KP52F3E3"},"agent_actions":{"view_html":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ","download_json":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ.json","view_paper":"https://pith.science/paper/KP52F3E3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.18670&json=true","fetch_graph":"https://pith.science/api/pith-number/KP52F3E3UDGPY5DP77CWXENBFQ/graph.json","fetch_events":"https://pith.science/api/pith-number/KP52F3E3UDGPY5DP77CWXENBFQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ/action/storage_attestation","attest_author":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ/action/author_attestation","sign_citation":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ/action/citation_signature","submit_replication":"https://pith.science/pith/KP52F3E3UDGPY5DP77CWXENBFQ/action/replication_record"}},"created_at":"2026-06-08T01:04:01.468899+00:00","updated_at":"2026-06-08T01:04:01.468899+00:00"}