{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:7HNLMAVAADBJ22WAFRJHPHETN6","short_pith_number":"pith:7HNLMAVA","schema_version":"1.0","canonical_sha256":"f9dab602a000c29d6ac02c52779c936f9bff97b5ea971d5ea86badbbc4dca18e","source":{"kind":"arxiv","id":"2408.13675","version":1},"attestation_state":"computed","paper":{"title":"How to guide a present-biased agent through prescribed tasks?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Artur Ignatiev, Fedor V. Fomin, Petr A. Golovach, Tatiana Belova, Yuriy Dementiev","submitted_at":"2024-08-24T21:26:42Z","abstract_excerpt":"The present bias is a well-documented behavioral trait that significantly influences human decision-making, with present-biased agents often prioritizing immediate rewards over long-term benefits, leading to suboptimal outcomes in various real-world scenarios. Kleinberg and Oren (2014) proposed a popular graph-theoretical model of inconsistent planning to capture the behavior of present-biased agents. In this model, a multi-step project is represented by a weighted directed acyclic task graph, where the agent traverses the graph based on present-biased preferences.\n  We use the model of Kleinb"},"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":"2408.13675","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GT","submitted_at":"2024-08-24T21:26:42Z","cross_cats_sorted":[],"title_canon_sha256":"46df0398925e3e2eea670d29e677c94066a337c840db9840f10f8013f404b1a7","abstract_canon_sha256":"85141f5f699afecbcd209b18989e27ae885cf9c995ebfb5163eb94492fb4d6e0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:58:54.025537Z","signature_b64":"d/zhMVOj54YRGRhwKaiOHD+WZXxBIjjy+XOosj61sDV8+hbm7MCKwoLd9AkQGgRuavuvJsHC5Y0qrU0yiYwxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f9dab602a000c29d6ac02c52779c936f9bff97b5ea971d5ea86badbbc4dca18e","last_reissued_at":"2026-07-05T08:58:54.025062Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:58:54.025062Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"How to guide a present-biased agent through prescribed tasks?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.GT","authors_text":"Artur Ignatiev, Fedor V. Fomin, Petr A. Golovach, Tatiana Belova, Yuriy Dementiev","submitted_at":"2024-08-24T21:26:42Z","abstract_excerpt":"The present bias is a well-documented behavioral trait that significantly influences human decision-making, with present-biased agents often prioritizing immediate rewards over long-term benefits, leading to suboptimal outcomes in various real-world scenarios. Kleinberg and Oren (2014) proposed a popular graph-theoretical model of inconsistent planning to capture the behavior of present-biased agents. In this model, a multi-step project is represented by a weighted directed acyclic task graph, where the agent traverses the graph based on present-biased preferences.\n  We use the model of Kleinb"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.13675","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2408.13675/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":"2408.13675","created_at":"2026-07-05T08:58:54.025118+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.13675v1","created_at":"2026-07-05T08:58:54.025118+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.13675","created_at":"2026-07-05T08:58:54.025118+00:00"},{"alias_kind":"pith_short_12","alias_value":"7HNLMAVAADBJ","created_at":"2026-07-05T08:58:54.025118+00:00"},{"alias_kind":"pith_short_16","alias_value":"7HNLMAVAADBJ22WA","created_at":"2026-07-05T08:58:54.025118+00:00"},{"alias_kind":"pith_short_8","alias_value":"7HNLMAVA","created_at":"2026-07-05T08:58:54.025118+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/7HNLMAVAADBJ22WAFRJHPHETN6","json":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6.json","graph_json":"https://pith.science/api/pith-number/7HNLMAVAADBJ22WAFRJHPHETN6/graph.json","events_json":"https://pith.science/api/pith-number/7HNLMAVAADBJ22WAFRJHPHETN6/events.json","paper":"https://pith.science/paper/7HNLMAVA"},"agent_actions":{"view_html":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6","download_json":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6.json","view_paper":"https://pith.science/paper/7HNLMAVA","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.13675&json=true","fetch_graph":"https://pith.science/api/pith-number/7HNLMAVAADBJ22WAFRJHPHETN6/graph.json","fetch_events":"https://pith.science/api/pith-number/7HNLMAVAADBJ22WAFRJHPHETN6/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6/action/storage_attestation","attest_author":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6/action/author_attestation","sign_citation":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6/action/citation_signature","submit_replication":"https://pith.science/pith/7HNLMAVAADBJ22WAFRJHPHETN6/action/replication_record"}},"created_at":"2026-07-05T08:58:54.025118+00:00","updated_at":"2026-07-05T08:58:54.025118+00:00"}