{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:EJLTGXHDQJZU3SXXXAJUUMUSAB","short_pith_number":"pith:EJLTGXHD","canonical_record":{"source":{"id":"2406.02018","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T06:57:47Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"eccea0046da3b20455adb1bae101e3763b284a9cd9acefdf4cf194dd6ec8ed56","abstract_canon_sha256":"962faeea2e1b933731360b3f66ab00deaf0ccd687beddb497296e9d38dbac7a4"},"schema_version":"1.0"},"canonical_sha256":"2257335ce382734dcaf7b8134a329200458c4c4052b56d2a07546c79ece5c033","source":{"kind":"arxiv","id":"2406.02018","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02018","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02018v2","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02018","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"pith_short_12","alias_value":"EJLTGXHDQJZU","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"pith_short_16","alias_value":"EJLTGXHDQJZU3SXX","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"pith_short_8","alias_value":"EJLTGXHD","created_at":"2026-07-05T09:15:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:EJLTGXHDQJZU3SXXXAJUUMUSAB","target":"record","payload":{"canonical_record":{"source":{"id":"2406.02018","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T06:57:47Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"eccea0046da3b20455adb1bae101e3763b284a9cd9acefdf4cf194dd6ec8ed56","abstract_canon_sha256":"962faeea2e1b933731360b3f66ab00deaf0ccd687beddb497296e9d38dbac7a4"},"schema_version":"1.0"},"canonical_sha256":"2257335ce382734dcaf7b8134a329200458c4c4052b56d2a07546c79ece5c033","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:15:58.106244Z","signature_b64":"XFap4tPt+7CD1qd2NsvfIiLQ32YkKX9atqitoPG3g5scksMRKFEEMLvNXA4N7KJKzt5llYtThlbo0i3ahV8RAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2257335ce382734dcaf7b8134a329200458c4c4052b56d2a07546c79ece5c033","last_reissued_at":"2026-07-05T09:15:58.105560Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:15:58.105560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.02018","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":"2026-07-05T09:15:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6uON575CLakcPTwIcn8/1/nKcmkKJbJ8+5g7zhHPax4ALJOanH1hqNslfhZ73uxErFvIengzBmY9BMBt8kn3Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:40:05.391905Z"},"content_sha256":"c1adf1df0c8655108c83b6e65499ca2c2050a3629587cbb61aec30aef4ee1c2a","schema_version":"1.0","event_id":"sha256:c1adf1df0c8655108c83b6e65499ca2c2050a3629587cbb61aec30aef4ee1c2a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:EJLTGXHDQJZU3SXXXAJUUMUSAB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Why Would You Suggest That? Human Trust in Language Model Responses","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CL","authors_text":"Ho Chit Siu, Jaime D. Pe\\~na, Manasi Sharma, Rohan Paleja","submitted_at":"2024-06-04T06:57:47Z","abstract_excerpt":"The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are paramount. Through human studies and model evaluations on the open-ended News Headline Generation task from the LaMP benchmark, we analyze how the framing and presence of explanations affect user trust and model performance. Overall, we provide evidence that adding an explanation in the model response to justify its reasoning significantly increases self-reported user trust in the model when the user has the opportun"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02018","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/2406.02018/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":"2026-07-05T09:15:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ZMjApvMUGSkN5+DxNgAZlgGfvXHri6NjplwzVD8Ed21j9Sasijm6uNrjYtw5tfjauYnOX9zb+dDupx3ieXpAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:40:05.392545Z"},"content_sha256":"30a5882527d6e1222cf8477e43678836e227294f19f4ca4ca493870c255f335a","schema_version":"1.0","event_id":"sha256:30a5882527d6e1222cf8477e43678836e227294f19f4ca4ca493870c255f335a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB/bundle.json","state_url":"https://pith.science/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB/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":"2026-08-09T21:40:05Z","links":{"resolver":"https://pith.science/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB","bundle":"https://pith.science/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB/bundle.json","state":"https://pith.science/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EJLTGXHDQJZU3SXXXAJUUMUSAB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:EJLTGXHDQJZU3SXXXAJUUMUSAB","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":"962faeea2e1b933731360b3f66ab00deaf0ccd687beddb497296e9d38dbac7a4","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T06:57:47Z","title_canon_sha256":"eccea0046da3b20455adb1bae101e3763b284a9cd9acefdf4cf194dd6ec8ed56"},"schema_version":"1.0","source":{"id":"2406.02018","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.02018","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.02018v2","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.02018","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"pith_short_12","alias_value":"EJLTGXHDQJZU","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"pith_short_16","alias_value":"EJLTGXHDQJZU3SXX","created_at":"2026-07-05T09:15:58Z"},{"alias_kind":"pith_short_8","alias_value":"EJLTGXHD","created_at":"2026-07-05T09:15:58Z"}],"graph_snapshots":[{"event_id":"sha256:30a5882527d6e1222cf8477e43678836e227294f19f4ca4ca493870c255f335a","target":"graph","created_at":"2026-07-05T09:15:58Z","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/2406.02018/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The emergence of Large Language Models (LLMs) has revealed a growing need for human-AI collaboration, especially in creative decision-making scenarios where trust and reliance are paramount. Through human studies and model evaluations on the open-ended News Headline Generation task from the LaMP benchmark, we analyze how the framing and presence of explanations affect user trust and model performance. Overall, we provide evidence that adding an explanation in the model response to justify its reasoning significantly increases self-reported user trust in the model when the user has the opportun","authors_text":"Ho Chit Siu, Jaime D. Pe\\~na, Manasi Sharma, Rohan Paleja","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T06:57:47Z","title":"Why Would You Suggest That? Human Trust in Language Model Responses"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.02018","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:c1adf1df0c8655108c83b6e65499ca2c2050a3629587cbb61aec30aef4ee1c2a","target":"record","created_at":"2026-07-05T09:15:58Z","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":"962faeea2e1b933731360b3f66ab00deaf0ccd687beddb497296e9d38dbac7a4","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-06-04T06:57:47Z","title_canon_sha256":"eccea0046da3b20455adb1bae101e3763b284a9cd9acefdf4cf194dd6ec8ed56"},"schema_version":"1.0","source":{"id":"2406.02018","kind":"arxiv","version":2}},"canonical_sha256":"2257335ce382734dcaf7b8134a329200458c4c4052b56d2a07546c79ece5c033","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2257335ce382734dcaf7b8134a329200458c4c4052b56d2a07546c79ece5c033","first_computed_at":"2026-07-05T09:15:58.105560Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:15:58.105560Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XFap4tPt+7CD1qd2NsvfIiLQ32YkKX9atqitoPG3g5scksMRKFEEMLvNXA4N7KJKzt5llYtThlbo0i3ahV8RAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:15:58.106244Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.02018","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c1adf1df0c8655108c83b6e65499ca2c2050a3629587cbb61aec30aef4ee1c2a","sha256:30a5882527d6e1222cf8477e43678836e227294f19f4ca4ca493870c255f335a"],"state_sha256":"b52c640c0fe8f75cf5704cedd1b568cc6260d98e590dcb1ac727740e2d8f62f1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J5Lqfj2zf+IU70IMMTLUVRRAtCnJ4bYa4c8klWzAfnXSJvO7tghek4+kb1JzTQgtUbqUrOiS6un9sw7Bd2SgDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:40:05.397609Z","bundle_sha256":"9628247d736e1b4a2326563a443f522fc8132400dbd2fb165c9d7d1f20d25259"}}