{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:5D3CUO5ZBHEAXIMEAU3YRLTYVS","short_pith_number":"pith:5D3CUO5Z","schema_version":"1.0","canonical_sha256":"e8f62a3bb909c80ba184053788ae78aca16786f3b7f06e5cc661a9eb2465ab52","source":{"kind":"arxiv","id":"1601.07505","version":1},"attestation_state":"computed","paper":{"title":"Game Theoretic Analysis of Tree Based Referrals for Crowd Sensing Social Systems with Passive Rewards","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.SI","physics.soc-ph"],"primary_cat":"cs.GT","authors_text":"Bhushan Kotnis, Kundan Kandhway","submitted_at":"2016-01-27T19:06:25Z","abstract_excerpt":"Participatory crowd sensing social systems rely on the participation of large number of individuals. Since humans are strategic by nature, effective incentive mechanisms are needed to encourage participation. A popular mechanism to recruit individuals is through referrals and passive incentives such as geometric incentive mechanisms used by the winning team in the 2009 DARPA Network Challenge and in multi level marketing schemes. The effect of such recruitment schemes on the effort put in by recruited strategic individuals is not clear. This paper attempts to fill this gap. Given a referral tr"},"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":"1601.07505","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2016-01-27T19:06:25Z","cross_cats_sorted":["cs.MA","cs.SI","physics.soc-ph"],"title_canon_sha256":"590b26041fc09d378f2cd5b6d26031f1ad7f866538ce52b571aa84de04c7493c","abstract_canon_sha256":"0c3c45eec358afc3b9d8d3866dd39db74f73f6a3d456497996194eeab32474c1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:17:59.307767Z","signature_b64":"JOYk9ZvnZWxTXxa8IJXdRckkQiBl1xe1ULr90F6iwwrezLEDbFTfEJmr1+XGxF0tbRUPBYggBr2l+qDxrHWiCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8f62a3bb909c80ba184053788ae78aca16786f3b7f06e5cc661a9eb2465ab52","last_reissued_at":"2026-05-18T01:17:59.307028Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:17:59.307028Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Game Theoretic Analysis of Tree Based Referrals for Crowd Sensing Social Systems with Passive Rewards","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA","cs.SI","physics.soc-ph"],"primary_cat":"cs.GT","authors_text":"Bhushan Kotnis, Kundan Kandhway","submitted_at":"2016-01-27T19:06:25Z","abstract_excerpt":"Participatory crowd sensing social systems rely on the participation of large number of individuals. Since humans are strategic by nature, effective incentive mechanisms are needed to encourage participation. A popular mechanism to recruit individuals is through referrals and passive incentives such as geometric incentive mechanisms used by the winning team in the 2009 DARPA Network Challenge and in multi level marketing schemes. The effect of such recruitment schemes on the effort put in by recruited strategic individuals is not clear. This paper attempts to fill this gap. Given a referral tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1601.07505","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":"1601.07505","created_at":"2026-05-18T01:17:59.307132+00:00"},{"alias_kind":"arxiv_version","alias_value":"1601.07505v1","created_at":"2026-05-18T01:17:59.307132+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1601.07505","created_at":"2026-05-18T01:17:59.307132+00:00"},{"alias_kind":"pith_short_12","alias_value":"5D3CUO5ZBHEA","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_16","alias_value":"5D3CUO5ZBHEAXIME","created_at":"2026-05-18T12:30:01.593930+00:00"},{"alias_kind":"pith_short_8","alias_value":"5D3CUO5Z","created_at":"2026-05-18T12:30:01.593930+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/5D3CUO5ZBHEAXIMEAU3YRLTYVS","json":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS.json","graph_json":"https://pith.science/api/pith-number/5D3CUO5ZBHEAXIMEAU3YRLTYVS/graph.json","events_json":"https://pith.science/api/pith-number/5D3CUO5ZBHEAXIMEAU3YRLTYVS/events.json","paper":"https://pith.science/paper/5D3CUO5Z"},"agent_actions":{"view_html":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS","download_json":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS.json","view_paper":"https://pith.science/paper/5D3CUO5Z","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1601.07505&json=true","fetch_graph":"https://pith.science/api/pith-number/5D3CUO5ZBHEAXIMEAU3YRLTYVS/graph.json","fetch_events":"https://pith.science/api/pith-number/5D3CUO5ZBHEAXIMEAU3YRLTYVS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS/action/storage_attestation","attest_author":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS/action/author_attestation","sign_citation":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS/action/citation_signature","submit_replication":"https://pith.science/pith/5D3CUO5ZBHEAXIMEAU3YRLTYVS/action/replication_record"}},"created_at":"2026-05-18T01:17:59.307132+00:00","updated_at":"2026-05-18T01:17:59.307132+00:00"}