{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:JZHMX5KECBOMVQQRB3XENASY5V","short_pith_number":"pith:JZHMX5KE","canonical_record":{"source":{"id":"2605.20149","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-19T17:40:14Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"4e778505da8deb2b9ed9a958c93822c25b420e5a47fa9e1a60e14f8eb4f46df0","abstract_canon_sha256":"ae4c91274f7f3e84fccec77e6916a96780ba79142458610ca526df34910b8e12"},"schema_version":"1.0"},"canonical_sha256":"4e4ecbf544105ccac2110eee468258ed7c53c11ef84a80321d5e461daae1b1fb","source":{"kind":"arxiv","id":"2605.20149","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20149","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20149v1","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20149","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"JZHMX5KECBOM","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"JZHMX5KECBOMVQQR","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"JZHMX5KE","created_at":"2026-05-20T02:06:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:JZHMX5KECBOMVQQRB3XENASY5V","target":"record","payload":{"canonical_record":{"source":{"id":"2605.20149","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-19T17:40:14Z","cross_cats_sorted":["cs.AI","cs.HC"],"title_canon_sha256":"4e778505da8deb2b9ed9a958c93822c25b420e5a47fa9e1a60e14f8eb4f46df0","abstract_canon_sha256":"ae4c91274f7f3e84fccec77e6916a96780ba79142458610ca526df34910b8e12"},"schema_version":"1.0"},"canonical_sha256":"4e4ecbf544105ccac2110eee468258ed7c53c11ef84a80321d5e461daae1b1fb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T02:06:04.311499Z","signature_b64":"LTIP4LUJJX8kOkXj5vfs3/za61X83oXDpEzeCqDgQhC8Up8snzCE7p0nHXByq1+we4TEBNrm5zknBRufPuL/Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4e4ecbf544105ccac2110eee468258ed7c53c11ef84a80321d5e461daae1b1fb","last_reissued_at":"2026-05-20T02:06:04.310598Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T02:06:04.310598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.20149","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":"2026-05-20T02:06:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pHkE7VtHF0nkx/kNPeeEVs93mgqtloa246BtzvvpMp273KHPZy9IXTz53S37zEBxkHz0OpsW5gUH6EroP2xwCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T10:01:55.537778Z"},"content_sha256":"19ea7fa7b41085b0ed04fd14dae4fa0242fa9e2335b82b6deb483adf0f1055c0","schema_version":"1.0","event_id":"sha256:19ea7fa7b41085b0ed04fd14dae4fa0242fa9e2335b82b6deb483adf0f1055c0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:JZHMX5KECBOMVQQRB3XENASY5V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Less Back-and-Forth: A Comparative Study of Structured Prompting","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.HC"],"primary_cat":"cs.CL","authors_text":"Abdou Sow, Gabriella Polach, Saurav Ghosh","submitted_at":"2026-05-19T17:40:14Z","abstract_excerpt":"Large language models (LLMs) are widely used for open-ended tasks, but underspecified prompts can lead to low-quality answers and additional interaction. This paper studies whether structured prompt design improves response quality while reducing user effort. We compare three prompt conditions: a raw prompt, a checklist-improved prompt, and a clarifying-question prompt. We evaluate these conditions across four task types--summarization, planning, explanation, and coding--using three LLM systems: ChatGPT, Claude, and Grok. Each output is scored with a unified rubric covering task completion, co"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20149","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/2605.20149/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":"2026-05-20T02:06:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ebJVIVxV9qoRPDvc6XK75KwtuxJ3WhifDx1SqwaXesendoB42NVcLZ0qLrs08rOw1o730D90uszKvVjnOy2vDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T10:01:55.538170Z"},"content_sha256":"29b1e1222021691ca2e322b80dc17912d098ed24d7515c95b91dcd45e494af5a","schema_version":"1.0","event_id":"sha256:29b1e1222021691ca2e322b80dc17912d098ed24d7515c95b91dcd45e494af5a"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:JZHMX5KECBOMVQQRB3XENASY5V","target":"integrity","payload":{"note":"URL 'https://arxiv.org/abs/2201' returned status 404 (Not Found) at last check.","snippet":null,"arxiv_id":"2605.20149","detector":"external_links","evidence":{"url":"https://arxiv.org/abs/2201","final_url":"https://arxiv.org/abs/2201","host_kind":"arxiv","status_code":404,"status_text":"Not Found","verdict_class":"incontrovertible","checked_at_unix":1779298370.7878368},"severity":"advisory","ref_index":null,"audited_at":"2026-05-20T17:32:50.960162Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#external_links","external_url":"https://arxiv.org/abs/2201","finding_type":"dead_url","evidence_hash":"3ef9fa660dec465c920ec8280502b11cd01824356fdd6638dc1fa1eb2e4a5f0e","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":5338,"payload_sha256":"d224f6c72b598e6fd710423b5175f68d9ebd2be3386089f17aede479d91cd025","signature_b64":"FBobzRYLEKdtRhPswqh6VDXZhy/IYLuzzSNIHAPRJpQ6EGBF4XQlkGGo26WoxYX6InvLGa3sKY9axjzDZ6aeAQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T17:33:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KzxaYzfP3Gw8mVgRPIAQxDI1MKPty66MvgflwllzZtonOy3ibebGfoGE4+VDWRQE6K07kxk7RrUroD0EbMQuDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T10:01:55.539114Z"},"content_sha256":"b1eec0039bf6c8e4f0f20d8d915afe96e252d12a292caf97f5974a8ce808e700","schema_version":"1.0","event_id":"sha256:b1eec0039bf6c8e4f0f20d8d915afe96e252d12a292caf97f5974a8ce808e700"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:JZHMX5KECBOMVQQRB3XENASY5V","target":"integrity","payload":{"note":"URL 'https://arxiv.org/abs/2201' returned status 404 (Not Found) at last check.","snippet":null,"arxiv_id":"2605.20149","detector":"external_links","evidence":{"url":"https://arxiv.org/abs/2201","final_url":"https://arxiv.org/abs/2201","host_kind":"arxiv","status_code":404,"status_text":"Not Found","verdict_class":"incontrovertible","checked_at_unix":1779255178.3649294},"severity":"advisory","ref_index":null,"audited_at":"2026-05-20T05:32:58.518604Z","event_type":"pith.integrity.v1","detected_doi":null,"detector_url":"https://pith.science/pith-integrity-protocol#external_links","external_url":"https://arxiv.org/abs/2201","finding_type":"dead_url","evidence_hash":"21cdba216cc15e795356ded3c309bf7b2512d2f39dc51084b3063a87167a37ca","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.0.0","detected_arxiv_id":null,"integrity_event_id":4836,"payload_sha256":"a81874b96f4fac90df00dc5b53623ad41ecd96bf3291aa185337c6f13a272339","signature_b64":"sT7ky/UqfEeBtv+Pk5cj9Vno/QDl1fN0LZJvliYAnOJBW12m8pI6V6UUOJmkCOoNSBAVyWWBs5jgidPpxpSOCw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T05:37:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RaEx+OvCQIPNEVoEqqSIne/v70SUHEUqnwC24VWTiGEsOIZCohVVITbQ7FLQOPqrdZB/4szDFypBlA4CR4M0CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-21T10:01:55.539454Z"},"content_sha256":"4198b2e58d966e137223e83b65b19c0bc96601bdf3fb7ecc6ddcfcd74de4d668","schema_version":"1.0","event_id":"sha256:4198b2e58d966e137223e83b65b19c0bc96601bdf3fb7ecc6ddcfcd74de4d668"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JZHMX5KECBOMVQQRB3XENASY5V/bundle.json","state_url":"https://pith.science/pith/JZHMX5KECBOMVQQRB3XENASY5V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JZHMX5KECBOMVQQRB3XENASY5V/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":"2026-05-21T10:01:55Z","links":{"resolver":"https://pith.science/pith/JZHMX5KECBOMVQQRB3XENASY5V","bundle":"https://pith.science/pith/JZHMX5KECBOMVQQRB3XENASY5V/bundle.json","state":"https://pith.science/pith/JZHMX5KECBOMVQQRB3XENASY5V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JZHMX5KECBOMVQQRB3XENASY5V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:JZHMX5KECBOMVQQRB3XENASY5V","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"ae4c91274f7f3e84fccec77e6916a96780ba79142458610ca526df34910b8e12","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-19T17:40:14Z","title_canon_sha256":"4e778505da8deb2b9ed9a958c93822c25b420e5a47fa9e1a60e14f8eb4f46df0"},"schema_version":"1.0","source":{"id":"2605.20149","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20149","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20149v1","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20149","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"pith_short_12","alias_value":"JZHMX5KECBOM","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"pith_short_16","alias_value":"JZHMX5KECBOMVQQR","created_at":"2026-05-20T02:06:04Z"},{"alias_kind":"pith_short_8","alias_value":"JZHMX5KE","created_at":"2026-05-20T02:06:04Z"}],"graph_snapshots":[{"event_id":"sha256:29b1e1222021691ca2e322b80dc17912d098ed24d7515c95b91dcd45e494af5a","target":"graph","created_at":"2026-05-20T02:06:04Z","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/2605.20149/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are widely used for open-ended tasks, but underspecified prompts can lead to low-quality answers and additional interaction. This paper studies whether structured prompt design improves response quality while reducing user effort. We compare three prompt conditions: a raw prompt, a checklist-improved prompt, and a clarifying-question prompt. We evaluate these conditions across four task types--summarization, planning, explanation, and coding--using three LLM systems: ChatGPT, Claude, and Grok. Each output is scored with a unified rubric covering task completion, co","authors_text":"Abdou Sow, Gabriella Polach, Saurav Ghosh","cross_cats":["cs.AI","cs.HC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-19T17:40:14Z","title":"Less Back-and-Forth: A Comparative Study of Structured Prompting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20149","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":"sha256:19ea7fa7b41085b0ed04fd14dae4fa0242fa9e2335b82b6deb483adf0f1055c0","target":"record","created_at":"2026-05-20T02:06:04Z","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":"ae4c91274f7f3e84fccec77e6916a96780ba79142458610ca526df34910b8e12","cross_cats_sorted":["cs.AI","cs.HC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-19T17:40:14Z","title_canon_sha256":"4e778505da8deb2b9ed9a958c93822c25b420e5a47fa9e1a60e14f8eb4f46df0"},"schema_version":"1.0","source":{"id":"2605.20149","kind":"arxiv","version":1}},"canonical_sha256":"4e4ecbf544105ccac2110eee468258ed7c53c11ef84a80321d5e461daae1b1fb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4e4ecbf544105ccac2110eee468258ed7c53c11ef84a80321d5e461daae1b1fb","first_computed_at":"2026-05-20T02:06:04.310598Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T02:06:04.310598Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LTIP4LUJJX8kOkXj5vfs3/za61X83oXDpEzeCqDgQhC8Up8snzCE7p0nHXByq1+we4TEBNrm5zknBRufPuL/Dg==","signature_status":"signed_v1","signed_at":"2026-05-20T02:06:04.311499Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20149","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:4198b2e58d966e137223e83b65b19c0bc96601bdf3fb7ecc6ddcfcd74de4d668","sha256:b1eec0039bf6c8e4f0f20d8d915afe96e252d12a292caf97f5974a8ce808e700"]}],"invalid_events":[],"applied_event_ids":["sha256:19ea7fa7b41085b0ed04fd14dae4fa0242fa9e2335b82b6deb483adf0f1055c0","sha256:29b1e1222021691ca2e322b80dc17912d098ed24d7515c95b91dcd45e494af5a"],"state_sha256":"2ef4f1e3985e178dcdc1477597f95bccd370975d9faa137ba6dc26c142704e57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JB1spYcEBLgm3LV9Dk8Wz0xH/zTsH8ntw+MAIFxu3+G7xHXVxH273Pexvdxee4gzpXn0kp6Sxvco0EpZQ7UEAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-21T10:01:55.541786Z","bundle_sha256":"e87923079a78e7f35d447ee1e5fa29d2adb86725e6e1b2afd0a56d695943108a"}}