{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:HYYP2FYROMP5ZXV7JCH64HCTJQ","short_pith_number":"pith:HYYP2FYR","canonical_record":{"source":{"id":"2301.05843","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.HC","submitted_at":"2023-01-14T07:29:36Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8410aa3cb66c0c4b264e03d102343e2f898a725852c137766d9b8a1675c4b659","abstract_canon_sha256":"1a8e0701f7ce50e3c5e61327094b5e70a62d2ddd5477beb9467a7975856a74ec"},"schema_version":"1.0"},"canonical_sha256":"3e30fd1711731fdcdebf488fee1c534c32b1afde14f2d72093661878b8fff4c4","source":{"kind":"arxiv","id":"2301.05843","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.05843","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"arxiv_version","alias_value":"2301.05843v2","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.05843","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"pith_short_12","alias_value":"HYYP2FYROMP5","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"pith_short_16","alias_value":"HYYP2FYROMP5ZXV7","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"pith_short_8","alias_value":"HYYP2FYR","created_at":"2026-07-05T08:16:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:HYYP2FYROMP5ZXV7JCH64HCTJQ","target":"record","payload":{"canonical_record":{"source":{"id":"2301.05843","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.HC","submitted_at":"2023-01-14T07:29:36Z","cross_cats_sorted":["cs.AI","cs.CL"],"title_canon_sha256":"8410aa3cb66c0c4b264e03d102343e2f898a725852c137766d9b8a1675c4b659","abstract_canon_sha256":"1a8e0701f7ce50e3c5e61327094b5e70a62d2ddd5477beb9467a7975856a74ec"},"schema_version":"1.0"},"canonical_sha256":"3e30fd1711731fdcdebf488fee1c534c32b1afde14f2d72093661878b8fff4c4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:16:19.691203Z","signature_b64":"QZMKIT57N2SvFCE7qjPglwHy5bNcnOcWD4NUTEXdxaQfXYfxfEDYtqjHPu6HXedRqWK2jWMl3enaddISkp4JAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3e30fd1711731fdcdebf488fee1c534c32b1afde14f2d72093661878b8fff4c4","last_reissued_at":"2026-07-05T08:16:19.690711Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:16:19.690711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2301.05843","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:16:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fkefQlLI/ZnE6GvI0eWzNy89aY2Ql5ZmrJIx3XqbP1sQl1WsEzR4JgtIO+dAeNvCWGH1acFo8qSSwGWTe397DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:46:07.749693Z"},"content_sha256":"15a88e1fc6a7abf1bc6be9b163f3cdb5efdf3f10194a6f3e4786f0fd8e7ee9b4","schema_version":"1.0","event_id":"sha256:15a88e1fc6a7abf1bc6be9b163f3cdb5efdf3f10194a6f3e4786f0fd8e7ee9b4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:HYYP2FYROMP5ZXV7JCH64HCTJQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data","license":"http://creativecommons.org/publicdomain/zero/1.0/","headline":"","cross_cats":["cs.AI","cs.CL"],"primary_cat":"cs.HC","authors_text":"Hyunhoon Jung, Jing Wei, Sungdong Kim, Young-Ho Kim","submitted_at":"2023-01-14T07:29:36Z","abstract_excerpt":"Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal, such as collecting self-report data from users. We explore what design factors of prompts can help steer chatbots to talk naturally and collect data reliably. To this aim, we formulated four prompt designs with different structures and personas. Through an online study (N = 48) where participants conversed with chatbots driven by different designs of prompts, we asse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.05843","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/2301.05843/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:16:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pyk4zHrZs4cY4opXP0Ko58FJwT63fJFvgiVgRsGuErN6MTn3BtzYEnc+ZH4aZuOtqbnROjVUJ6jd3r65YOkrAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T20:46:07.750240Z"},"content_sha256":"2240e77e573125c1e205ae2dcab524cf148b0cbee0c97e73cf73be164ac188cb","schema_version":"1.0","event_id":"sha256:2240e77e573125c1e205ae2dcab524cf148b0cbee0c97e73cf73be164ac188cb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ/bundle.json","state_url":"https://pith.science/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ/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":"2026-08-16T20:46:07Z","links":{"resolver":"https://pith.science/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ","bundle":"https://pith.science/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ/bundle.json","state":"https://pith.science/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HYYP2FYROMP5ZXV7JCH64HCTJQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:HYYP2FYROMP5ZXV7JCH64HCTJQ","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":"1a8e0701f7ce50e3c5e61327094b5e70a62d2ddd5477beb9467a7975856a74ec","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.HC","submitted_at":"2023-01-14T07:29:36Z","title_canon_sha256":"8410aa3cb66c0c4b264e03d102343e2f898a725852c137766d9b8a1675c4b659"},"schema_version":"1.0","source":{"id":"2301.05843","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.05843","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"arxiv_version","alias_value":"2301.05843v2","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.05843","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"pith_short_12","alias_value":"HYYP2FYROMP5","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"pith_short_16","alias_value":"HYYP2FYROMP5ZXV7","created_at":"2026-07-05T08:16:19Z"},{"alias_kind":"pith_short_8","alias_value":"HYYP2FYR","created_at":"2026-07-05T08:16:19Z"}],"graph_snapshots":[{"event_id":"sha256:2240e77e573125c1e205ae2dcab524cf148b0cbee0c97e73cf73be164ac188cb","target":"graph","created_at":"2026-07-05T08:16:19Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2301.05843/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) provide a new way to build chatbots by accepting natural language prompts. Yet, it is unclear how to design prompts to power chatbots to carry on naturalistic conversations while pursuing a given goal, such as collecting self-report data from users. We explore what design factors of prompts can help steer chatbots to talk naturally and collect data reliably. To this aim, we formulated four prompt designs with different structures and personas. Through an online study (N = 48) where participants conversed with chatbots driven by different designs of prompts, we asse","authors_text":"Hyunhoon Jung, Jing Wei, Sungdong Kim, Young-Ho Kim","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.HC","submitted_at":"2023-01-14T07:29:36Z","title":"Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.05843","kind":"arxiv","version":2},"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":"sha256:15a88e1fc6a7abf1bc6be9b163f3cdb5efdf3f10194a6f3e4786f0fd8e7ee9b4","target":"record","created_at":"2026-07-05T08:16:19Z","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":"1a8e0701f7ce50e3c5e61327094b5e70a62d2ddd5477beb9467a7975856a74ec","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.HC","submitted_at":"2023-01-14T07:29:36Z","title_canon_sha256":"8410aa3cb66c0c4b264e03d102343e2f898a725852c137766d9b8a1675c4b659"},"schema_version":"1.0","source":{"id":"2301.05843","kind":"arxiv","version":2}},"canonical_sha256":"3e30fd1711731fdcdebf488fee1c534c32b1afde14f2d72093661878b8fff4c4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3e30fd1711731fdcdebf488fee1c534c32b1afde14f2d72093661878b8fff4c4","first_computed_at":"2026-07-05T08:16:19.690711Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:19.690711Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QZMKIT57N2SvFCE7qjPglwHy5bNcnOcWD4NUTEXdxaQfXYfxfEDYtqjHPu6HXedRqWK2jWMl3enaddISkp4JAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:19.691203Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.05843","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:15a88e1fc6a7abf1bc6be9b163f3cdb5efdf3f10194a6f3e4786f0fd8e7ee9b4","sha256:2240e77e573125c1e205ae2dcab524cf148b0cbee0c97e73cf73be164ac188cb"],"state_sha256":"cec5fd219464891297466f525a0946b35d31ab177ac9d23dcd4f1b87066c9b32"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bMkNs9trPrwt6WfN1R22XqvkZMkh8TMLUSVnhSWi7TCJHdQLAiqSUy7ML2kMlsEYe/VP8UyULynrmqCkIEcsBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T20:46:07.755117Z","bundle_sha256":"63c5839a9d02768169e35bb465e996ce4f1885b662c8256e1797d871fab45205"}}