{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:GVA22XF7EKTCAELP5L4UGII5BX","short_pith_number":"pith:GVA22XF7","canonical_record":{"source":{"id":"2402.11770","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-19T01:49:53Z","cross_cats_sorted":[],"title_canon_sha256":"e563d92d52c5ad4c5952077634421fc92889a5cd07efd31ab2143150171c64a3","abstract_canon_sha256":"913eb15715a7a6c2e1a4b26c57fe3eb79b0389a3340382f504021d45ecdcbf24"},"schema_version":"1.0"},"canonical_sha256":"3541ad5cbf22a620116feaf943211d0de3d8c5aa6f0228acf837eb906a5caee8","source":{"kind":"arxiv","id":"2402.11770","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.11770","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"arxiv_version","alias_value":"2402.11770v2","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.11770","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"pith_short_12","alias_value":"GVA22XF7EKTC","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"pith_short_16","alias_value":"GVA22XF7EKTCAELP","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"pith_short_8","alias_value":"GVA22XF7","created_at":"2026-07-05T07:47:10Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:GVA22XF7EKTCAELP5L4UGII5BX","target":"record","payload":{"canonical_record":{"source":{"id":"2402.11770","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-19T01:49:53Z","cross_cats_sorted":[],"title_canon_sha256":"e563d92d52c5ad4c5952077634421fc92889a5cd07efd31ab2143150171c64a3","abstract_canon_sha256":"913eb15715a7a6c2e1a4b26c57fe3eb79b0389a3340382f504021d45ecdcbf24"},"schema_version":"1.0"},"canonical_sha256":"3541ad5cbf22a620116feaf943211d0de3d8c5aa6f0228acf837eb906a5caee8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:47:10.180459Z","signature_b64":"KrC1D38abTR7bj9GVn7X1PCEXSW+spHTJ0QOvmezw35fcezaLZAgFwu1V48HOSvJbO6HME2jNHemVxOwOL/+AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3541ad5cbf22a620116feaf943211d0de3d8c5aa6f0228acf837eb906a5caee8","last_reissued_at":"2026-07-05T07:47:10.179923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:47:10.179923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.11770","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":"2026-07-05T07:47:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oXhNQcCdlHXBtsLqD7glFmNphuI2NJlQuDNvnzHd6bAbWiY5EgBxeXsKWScweBjLr2TaOGBBAXbosAzB80y8DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:40:03.886431Z"},"content_sha256":"8afd66a2c39187ad6ff3d5526969a84c809952efe005824f04ec2f4d3b4d47aa","schema_version":"1.0","event_id":"sha256:8afd66a2c39187ad6ff3d5526969a84c809952efe005824f04ec2f4d3b4d47aa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:GVA22XF7EKTCAELP5L4UGII5BX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Jatin Ganhotra, Md Arafat Sultan, Ram\\'on Fernandez Astudillo","submitted_at":"2024-02-19T01:49:53Z","abstract_excerpt":"We introduce a structured chain-of-thought (SCoT) prompting approach to generating content-grounded multi-turn question-answer conversations using a pre-trained large language model (LLM). At the core of our proposal is a structured breakdown of the complex task into a number of states in a state machine, so that actions corresponding to various subtasks, e.g., content reading and utterance generation, can be executed in their own dedicated states. Each state leverages a unique set of resources including prompts and (optionally) additional tools to augment the generation process. Our experimen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.11770","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/2402.11770/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":"2026-07-05T07:47:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zSpqlJI67DD2ITgcMgGJoNMa1W2RWg6tfEnCCdA8kPvUVZ34RC8iAXk+9SNMaL0d2mTs/LhqnuhZtS+wXCyTBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-17T12:40:03.886805Z"},"content_sha256":"3e142b465daf4d6158c12b4310dc017dc612bede3e18231f96db26ab9a8be8cd","schema_version":"1.0","event_id":"sha256:3e142b465daf4d6158c12b4310dc017dc612bede3e18231f96db26ab9a8be8cd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GVA22XF7EKTCAELP5L4UGII5BX/bundle.json","state_url":"https://pith.science/pith/GVA22XF7EKTCAELP5L4UGII5BX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GVA22XF7EKTCAELP5L4UGII5BX/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":"2026-08-17T12:40:03Z","links":{"resolver":"https://pith.science/pith/GVA22XF7EKTCAELP5L4UGII5BX","bundle":"https://pith.science/pith/GVA22XF7EKTCAELP5L4UGII5BX/bundle.json","state":"https://pith.science/pith/GVA22XF7EKTCAELP5L4UGII5BX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GVA22XF7EKTCAELP5L4UGII5BX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:GVA22XF7EKTCAELP5L4UGII5BX","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":"913eb15715a7a6c2e1a4b26c57fe3eb79b0389a3340382f504021d45ecdcbf24","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-19T01:49:53Z","title_canon_sha256":"e563d92d52c5ad4c5952077634421fc92889a5cd07efd31ab2143150171c64a3"},"schema_version":"1.0","source":{"id":"2402.11770","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.11770","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"arxiv_version","alias_value":"2402.11770v2","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.11770","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"pith_short_12","alias_value":"GVA22XF7EKTC","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"pith_short_16","alias_value":"GVA22XF7EKTCAELP","created_at":"2026-07-05T07:47:10Z"},{"alias_kind":"pith_short_8","alias_value":"GVA22XF7","created_at":"2026-07-05T07:47:10Z"}],"graph_snapshots":[{"event_id":"sha256:3e142b465daf4d6158c12b4310dc017dc612bede3e18231f96db26ab9a8be8cd","target":"graph","created_at":"2026-07-05T07:47:10Z","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/2402.11770/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce a structured chain-of-thought (SCoT) prompting approach to generating content-grounded multi-turn question-answer conversations using a pre-trained large language model (LLM). At the core of our proposal is a structured breakdown of the complex task into a number of states in a state machine, so that actions corresponding to various subtasks, e.g., content reading and utterance generation, can be executed in their own dedicated states. Each state leverages a unique set of resources including prompts and (optionally) additional tools to augment the generation process. Our experimen","authors_text":"Jatin Ganhotra, Md Arafat Sultan, Ram\\'on Fernandez Astudillo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-19T01:49:53Z","title":"Structured Chain-of-Thought Prompting for Few-Shot Generation of Content-Grounded QA Conversations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.11770","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":"sha256:8afd66a2c39187ad6ff3d5526969a84c809952efe005824f04ec2f4d3b4d47aa","target":"record","created_at":"2026-07-05T07:47:10Z","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":"913eb15715a7a6c2e1a4b26c57fe3eb79b0389a3340382f504021d45ecdcbf24","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-19T01:49:53Z","title_canon_sha256":"e563d92d52c5ad4c5952077634421fc92889a5cd07efd31ab2143150171c64a3"},"schema_version":"1.0","source":{"id":"2402.11770","kind":"arxiv","version":2}},"canonical_sha256":"3541ad5cbf22a620116feaf943211d0de3d8c5aa6f0228acf837eb906a5caee8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3541ad5cbf22a620116feaf943211d0de3d8c5aa6f0228acf837eb906a5caee8","first_computed_at":"2026-07-05T07:47:10.179923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:47:10.179923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KrC1D38abTR7bj9GVn7X1PCEXSW+spHTJ0QOvmezw35fcezaLZAgFwu1V48HOSvJbO6HME2jNHemVxOwOL/+AA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:47:10.180459Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.11770","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8afd66a2c39187ad6ff3d5526969a84c809952efe005824f04ec2f4d3b4d47aa","sha256:3e142b465daf4d6158c12b4310dc017dc612bede3e18231f96db26ab9a8be8cd"],"state_sha256":"a826cee99da364dc7c18c1a193d57e97423f25ea293aa29abfacc47f9f200fb0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jn6CsaCv3f+9+rcdYC+50SK2Q4Qh3FtXDTrpMh963uibidfaFvvS8/K06Wu/RARXMKwkP3bRMp90H4kdl16OCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-17T12:40:03.890251Z","bundle_sha256":"5db59ec930b4bf408f2ca597ff5a2121a877a763280700160761d39aabefbe7e"}}