{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:4NLMRH2XFIKXG373PIZWCK2RKF","short_pith_number":"pith:4NLMRH2X","canonical_record":{"source":{"id":"1701.01231","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-05T07:25:23Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"c059c0abc8f940ff7d85d34e03f4fbcf4894b3915f06ea86aff1ca80b0ae2817","abstract_canon_sha256":"627c59571e34fac7960828fd22a6a3dd3d40f79b75b6a3fcbefdd816454a9c8d"},"schema_version":"1.0"},"canonical_sha256":"e356c89f572a15736ffb7a33612b51517bcffd63254ed0beffe337d09689aa5e","source":{"kind":"arxiv","id":"1701.01231","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.01231","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"arxiv_version","alias_value":"1701.01231v1","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.01231","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"pith_short_12","alias_value":"4NLMRH2XFIKX","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4NLMRH2XFIKXG373","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4NLMRH2X","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:4NLMRH2XFIKXG373PIZWCK2RKF","target":"record","payload":{"canonical_record":{"source":{"id":"1701.01231","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-05T07:25:23Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"c059c0abc8f940ff7d85d34e03f4fbcf4894b3915f06ea86aff1ca80b0ae2817","abstract_canon_sha256":"627c59571e34fac7960828fd22a6a3dd3d40f79b75b6a3fcbefdd816454a9c8d"},"schema_version":"1.0"},"canonical_sha256":"e356c89f572a15736ffb7a33612b51517bcffd63254ed0beffe337d09689aa5e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:53:20.115785Z","signature_b64":"OZ/pST9Hu/k106u+D7/v7qJTvNA7+Z/V6CjpznBeFbGLKBMd1Fqbko1tt7MZmf4nAWPWE0fFGYzBC9beZEGGAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e356c89f572a15736ffb7a33612b51517bcffd63254ed0beffe337d09689aa5e","last_reissued_at":"2026-05-18T00:53:20.115156Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:53:20.115156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1701.01231","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":"2026-05-18T00:53:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9f1JxqKp80Oe0p3yKp2D6nC1p5b6+3Kc3CJDB1sUCUnTElNilmr65OqqBv9bf9BToJfnCesowxJ/eorEmXTyCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T15:44:19.353088Z"},"content_sha256":"53ce333d136e0ab39dbf7e5b122f64c7e340ee62aaca28764cae0fa6f305e807","schema_version":"1.0","event_id":"sha256:53ce333d136e0ab39dbf7e5b122f64c7e340ee62aaca28764cae0fa6f305e807"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:4NLMRH2XFIKXG373PIZWCK2RKF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adaptive Questionnaires for Direct Identification of Optimal Product Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"stat.ML","authors_text":"Clayton Scott, Max Yi Ren","submitted_at":"2017-01-05T07:25:23Z","abstract_excerpt":"We consider the problem of identifying the most profitable product design from a finite set of candidates under unknown consumer preference. A standard approach to this problem follows a two-step strategy: First, estimate the preference of the consumer population, represented as a point in part-worth space, using an adaptive discrete-choice questionnaire. Second, integrate the estimated part-worth vector with engineering feasibility and cost models to determine the optimal design. In this work, we (1) demonstrate that accurate preference estimation is neither necessary nor sufficient for ident"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.01231","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":"2026-05-18T00:53:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bdoV3rThkbNkOKwBT+SNCuLjGWTsr4WJKxcVNgXsuvqbGRBEvzuvBZ5OiL3VxwddhtmpH33lv0TEuoiDq6AtDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T15:44:19.353745Z"},"content_sha256":"7e0e60c86676633dd7345ab3aa30117fe459e5436117272050b575595b483205","schema_version":"1.0","event_id":"sha256:7e0e60c86676633dd7345ab3aa30117fe459e5436117272050b575595b483205"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4NLMRH2XFIKXG373PIZWCK2RKF/bundle.json","state_url":"https://pith.science/pith/4NLMRH2XFIKXG373PIZWCK2RKF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4NLMRH2XFIKXG373PIZWCK2RKF/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":"2026-05-26T15:44:19Z","links":{"resolver":"https://pith.science/pith/4NLMRH2XFIKXG373PIZWCK2RKF","bundle":"https://pith.science/pith/4NLMRH2XFIKXG373PIZWCK2RKF/bundle.json","state":"https://pith.science/pith/4NLMRH2XFIKXG373PIZWCK2RKF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4NLMRH2XFIKXG373PIZWCK2RKF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:4NLMRH2XFIKXG373PIZWCK2RKF","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":"627c59571e34fac7960828fd22a6a3dd3d40f79b75b6a3fcbefdd816454a9c8d","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-05T07:25:23Z","title_canon_sha256":"c059c0abc8f940ff7d85d34e03f4fbcf4894b3915f06ea86aff1ca80b0ae2817"},"schema_version":"1.0","source":{"id":"1701.01231","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1701.01231","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"arxiv_version","alias_value":"1701.01231v1","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1701.01231","created_at":"2026-05-18T00:53:20Z"},{"alias_kind":"pith_short_12","alias_value":"4NLMRH2XFIKX","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"4NLMRH2XFIKXG373","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"4NLMRH2X","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:7e0e60c86676633dd7345ab3aa30117fe459e5436117272050b575595b483205","target":"graph","created_at":"2026-05-18T00:53:20Z","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":"We consider the problem of identifying the most profitable product design from a finite set of candidates under unknown consumer preference. A standard approach to this problem follows a two-step strategy: First, estimate the preference of the consumer population, represented as a point in part-worth space, using an adaptive discrete-choice questionnaire. Second, integrate the estimated part-worth vector with engineering feasibility and cost models to determine the optimal design. In this work, we (1) demonstrate that accurate preference estimation is neither necessary nor sufficient for ident","authors_text":"Clayton Scott, Max Yi Ren","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-05T07:25:23Z","title":"Adaptive Questionnaires for Direct Identification of Optimal Product Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1701.01231","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":"sha256:53ce333d136e0ab39dbf7e5b122f64c7e340ee62aaca28764cae0fa6f305e807","target":"record","created_at":"2026-05-18T00:53:20Z","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":"627c59571e34fac7960828fd22a6a3dd3d40f79b75b6a3fcbefdd816454a9c8d","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-01-05T07:25:23Z","title_canon_sha256":"c059c0abc8f940ff7d85d34e03f4fbcf4894b3915f06ea86aff1ca80b0ae2817"},"schema_version":"1.0","source":{"id":"1701.01231","kind":"arxiv","version":1}},"canonical_sha256":"e356c89f572a15736ffb7a33612b51517bcffd63254ed0beffe337d09689aa5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e356c89f572a15736ffb7a33612b51517bcffd63254ed0beffe337d09689aa5e","first_computed_at":"2026-05-18T00:53:20.115156Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:53:20.115156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OZ/pST9Hu/k106u+D7/v7qJTvNA7+Z/V6CjpznBeFbGLKBMd1Fqbko1tt7MZmf4nAWPWE0fFGYzBC9beZEGGAw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:53:20.115785Z","signed_message":"canonical_sha256_bytes"},"source_id":"1701.01231","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53ce333d136e0ab39dbf7e5b122f64c7e340ee62aaca28764cae0fa6f305e807","sha256:7e0e60c86676633dd7345ab3aa30117fe459e5436117272050b575595b483205"],"state_sha256":"9cd2957736c9aa9c6e470b5ea4094f6cdfd7a27d43d4fd9cb401ff73c7f236e3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Kwj5wHUIGfdBE7TXpltdPZ1o6ejQ8C6d3yYyiU6w9SFR81sXC/vz4J+pm7AA5EXj4IqxeQBqy15KO8cAV0s+Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T15:44:19.356561Z","bundle_sha256":"01dbe06ea0a33ba445f265c508eec0d310235719dae7fb7751b7fd220c34dd12"}}