{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:SW2PGJ3HBPLVBU6YA7F6T5D4DQ","short_pith_number":"pith:SW2PGJ3H","canonical_record":{"source":{"id":"1705.06055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-05-17T09:00:17Z","cross_cats_sorted":[],"title_canon_sha256":"8069564fc351f1d046fac87d1421e573199c4f3183fde8b3def2391daa287051","abstract_canon_sha256":"6a512e5ae76338bdd8219e72855540568f34c9f61d1853bc15ff2ca719565511"},"schema_version":"1.0"},"canonical_sha256":"95b4f327670bd750d3d807cbe9f47c1c010415d231f2172d8ac818122713d30e","source":{"kind":"arxiv","id":"1705.06055","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.06055","created_at":"2026-05-18T00:44:19Z"},{"alias_kind":"arxiv_version","alias_value":"1705.06055v1","created_at":"2026-05-18T00:44:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.06055","created_at":"2026-05-18T00:44:19Z"},{"alias_kind":"pith_short_12","alias_value":"SW2PGJ3HBPLV","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SW2PGJ3HBPLVBU6Y","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SW2PGJ3H","created_at":"2026-05-18T12:31:43Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:SW2PGJ3HBPLVBU6YA7F6T5D4DQ","target":"record","payload":{"canonical_record":{"source":{"id":"1705.06055","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-05-17T09:00:17Z","cross_cats_sorted":[],"title_canon_sha256":"8069564fc351f1d046fac87d1421e573199c4f3183fde8b3def2391daa287051","abstract_canon_sha256":"6a512e5ae76338bdd8219e72855540568f34c9f61d1853bc15ff2ca719565511"},"schema_version":"1.0"},"canonical_sha256":"95b4f327670bd750d3d807cbe9f47c1c010415d231f2172d8ac818122713d30e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:44:19.105035Z","signature_b64":"nhGBYpMDWoA9g+aluYGYtWHS+kEEQduY/zLS9fIe0gmWafWwQGFNJPukQG2dKSlL59RaMLnViNrM6Hgnw7C4Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"95b4f327670bd750d3d807cbe9f47c1c010415d231f2172d8ac818122713d30e","last_reissued_at":"2026-05-18T00:44:19.104583Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:44:19.104583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.06055","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:44:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xzYFaKF4OG1F5GYXsH/o3vIXNLbFjMnVpApD0quksVGnzNv/fpWvMGZWHmWn/bjQhfgAook4zK5Is7A5xWT1Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T08:04:55.955106Z"},"content_sha256":"07f6ea0f5004a52d5df3af674cd81eb5b30469fffed8d4e2c4cebb33b1fb7bb1","schema_version":"1.0","event_id":"sha256:07f6ea0f5004a52d5df3af674cd81eb5b30469fffed8d4e2c4cebb33b1fb7bb1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:SW2PGJ3HBPLVBU6YA7F6T5D4DQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-Centric Mobile Crowdsensing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Changkun Jiang, Jianwei Huang, Lin Gao, Lingjie Duan","submitted_at":"2017-05-17T09:00:17Z","abstract_excerpt":"Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule mobile users to perform multiple sensing tasks. Prior work mainly focused on interactions between the task-layer and the user-layer, without considering tasks' similar data requirements and users' heterogeneous sensing capabilities. In this work, we propose a three-layer data-centric MCS model by introducing a new data-layer between tasks and users, enable different tasks to reuse the same data items, hence effectivel"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.06055","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:44:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LOhDCDGSUXAoZmmOWtdBmY3Tca7+4R1XAcEHSPQTV4Aikwhj0YJSAdXG2UC5M2GwqdkAOudgoIa2sScw32kqBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T08:04:55.955476Z"},"content_sha256":"f300b9b2d2dede715a40112e9e8b3e02a39b41883d0ccf83df2d9e8f308de659","schema_version":"1.0","event_id":"sha256:f300b9b2d2dede715a40112e9e8b3e02a39b41883d0ccf83df2d9e8f308de659"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ/bundle.json","state_url":"https://pith.science/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-28T08:04:55Z","links":{"resolver":"https://pith.science/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ","bundle":"https://pith.science/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ/bundle.json","state":"https://pith.science/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SW2PGJ3HBPLVBU6YA7F6T5D4DQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:SW2PGJ3HBPLVBU6YA7F6T5D4DQ","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":"6a512e5ae76338bdd8219e72855540568f34c9f61d1853bc15ff2ca719565511","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-05-17T09:00:17Z","title_canon_sha256":"8069564fc351f1d046fac87d1421e573199c4f3183fde8b3def2391daa287051"},"schema_version":"1.0","source":{"id":"1705.06055","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.06055","created_at":"2026-05-18T00:44:19Z"},{"alias_kind":"arxiv_version","alias_value":"1705.06055v1","created_at":"2026-05-18T00:44:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.06055","created_at":"2026-05-18T00:44:19Z"},{"alias_kind":"pith_short_12","alias_value":"SW2PGJ3HBPLV","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_16","alias_value":"SW2PGJ3HBPLVBU6Y","created_at":"2026-05-18T12:31:43Z"},{"alias_kind":"pith_short_8","alias_value":"SW2PGJ3H","created_at":"2026-05-18T12:31:43Z"}],"graph_snapshots":[{"event_id":"sha256:f300b9b2d2dede715a40112e9e8b3e02a39b41883d0ccf83df2d9e8f308de659","target":"graph","created_at":"2026-05-18T00:44:19Z","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"},"paper":{"abstract_excerpt":"Mobile crowdsensing (MCS) is a promising sensing paradigm that leverages the diverse embedded sensors in massive mobile devices. A key objective in MCS is to efficiently schedule mobile users to perform multiple sensing tasks. Prior work mainly focused on interactions between the task-layer and the user-layer, without considering tasks' similar data requirements and users' heterogeneous sensing capabilities. In this work, we propose a three-layer data-centric MCS model by introducing a new data-layer between tasks and users, enable different tasks to reuse the same data items, hence effectivel","authors_text":"Changkun Jiang, Jianwei Huang, Lin Gao, Lingjie Duan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-05-17T09:00:17Z","title":"Data-Centric Mobile Crowdsensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.06055","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":"sha256:07f6ea0f5004a52d5df3af674cd81eb5b30469fffed8d4e2c4cebb33b1fb7bb1","target":"record","created_at":"2026-05-18T00:44:19Z","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":"6a512e5ae76338bdd8219e72855540568f34c9f61d1853bc15ff2ca719565511","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2017-05-17T09:00:17Z","title_canon_sha256":"8069564fc351f1d046fac87d1421e573199c4f3183fde8b3def2391daa287051"},"schema_version":"1.0","source":{"id":"1705.06055","kind":"arxiv","version":1}},"canonical_sha256":"95b4f327670bd750d3d807cbe9f47c1c010415d231f2172d8ac818122713d30e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"95b4f327670bd750d3d807cbe9f47c1c010415d231f2172d8ac818122713d30e","first_computed_at":"2026-05-18T00:44:19.104583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:44:19.104583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nhGBYpMDWoA9g+aluYGYtWHS+kEEQduY/zLS9fIe0gmWafWwQGFNJPukQG2dKSlL59RaMLnViNrM6Hgnw7C4Bg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:44:19.105035Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.06055","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:07f6ea0f5004a52d5df3af674cd81eb5b30469fffed8d4e2c4cebb33b1fb7bb1","sha256:f300b9b2d2dede715a40112e9e8b3e02a39b41883d0ccf83df2d9e8f308de659"],"state_sha256":"40c6b980b559440517f320b9d91cee7ce7255c4f687fd744c869dd9fe3e1aaa1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rzrs61tEngyzVi2MSK3hTZfC4yX+NWArgytZ5j5DaZp6Pl8hJs2+TfCK65YpdwodubYk2aLNd5+XZXTPqKdCDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T08:04:55.957361Z","bundle_sha256":"297108ea036e85b5b06e00803cdcaa76c21ec50fa201976b3c5f093e9af61038"}}