{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:34QHDH3LSPIOP6HQGHVBKQOX4V","short_pith_number":"pith:34QHDH3L","canonical_record":{"source":{"id":"2404.11835","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-18T01:31:19Z","cross_cats_sorted":[],"title_canon_sha256":"14586f302fdd9b685207104ec95e03fc8120c71acdeb6401117a4ee62b9ccadb","abstract_canon_sha256":"e5c6715eeb75ab8cd78b42dc59435c92ac73e9095584e8d3c85a8a7130c46211"},"schema_version":"1.0"},"canonical_sha256":"df20719f6b93d0e7f8f031ea1541d7e57ca072d3c209d251f8e4dfc4068d1379","source":{"kind":"arxiv","id":"2404.11835","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.11835","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"arxiv_version","alias_value":"2404.11835v2","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11835","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"pith_short_12","alias_value":"34QHDH3LSPIO","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"pith_short_16","alias_value":"34QHDH3LSPIOP6HQ","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"pith_short_8","alias_value":"34QHDH3L","created_at":"2026-07-05T08:20:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:34QHDH3LSPIOP6HQGHVBKQOX4V","target":"record","payload":{"canonical_record":{"source":{"id":"2404.11835","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-18T01:31:19Z","cross_cats_sorted":[],"title_canon_sha256":"14586f302fdd9b685207104ec95e03fc8120c71acdeb6401117a4ee62b9ccadb","abstract_canon_sha256":"e5c6715eeb75ab8cd78b42dc59435c92ac73e9095584e8d3c85a8a7130c46211"},"schema_version":"1.0"},"canonical_sha256":"df20719f6b93d0e7f8f031ea1541d7e57ca072d3c209d251f8e4dfc4068d1379","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:29.228663Z","signature_b64":"N/zxrHEMt6QVkQcaOh0c+1465CaTCsWdimOk4Z+ADGHMplKlrvxpvjiv24kB1+ggzyBmSeJLk9g1YLsswHUSAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"df20719f6b93d0e7f8f031ea1541d7e57ca072d3c209d251f8e4dfc4068d1379","last_reissued_at":"2026-07-05T08:20:29.228149Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:29.228149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.11835","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":"2026-07-05T08:20:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"w/MN+5ZTRhrvpEqSNV2IzI7OlB6FvmrcG9HIqXevUa2OZsvzblB4oRitBehT2zamE7DLZy3YEn5vApnQfUHKAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T07:20:22.947434Z"},"content_sha256":"daa0d7964909f3c9b44551dce5ccdad32ce97946eef7727128ca84a2e662ffa6","schema_version":"1.0","event_id":"sha256:daa0d7964909f3c9b44551dce5ccdad32ce97946eef7727128ca84a2e662ffa6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:34QHDH3LSPIOP6HQGHVBKQOX4V","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Donghyun Kim, Jeh-Kwang Ryu, Minjung Shin","submitted_at":"2024-04-18T01:31:19Z","abstract_excerpt":"We introduce the Curious About Uncertain Scene (CAUS) dataset, designed to enable Large Language Models, specifically GPT-4, to emulate human cognitive processes for resolving uncertainties. Leveraging this dataset, we investigate the potential of LLMs to engage in questioning effectively. Our approach involves providing scene descriptions embedded with uncertainties to stimulate the generation of reasoning and queries. The queries are then classified according to multi-dimensional criteria. All procedures are facilitated by a collaborative system involving both LLMs and human researchers. Our"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11835","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/2404.11835/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":"2026-07-05T08:20:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RL8tRGVLY7N8x3b+lv88XuPuKpecnx1AQLI3pOCsWD39fwug4RLW93EKzQwGMzWXezmJuHNnoVBZHXrXKx4wCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T07:20:22.947988Z"},"content_sha256":"9d15849230e704e3c2b689bd653f5fa3d6d52bdd4402dbc2835f344ea35ec7df","schema_version":"1.0","event_id":"sha256:9d15849230e704e3c2b689bd653f5fa3d6d52bdd4402dbc2835f344ea35ec7df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/34QHDH3LSPIOP6HQGHVBKQOX4V/bundle.json","state_url":"https://pith.science/pith/34QHDH3LSPIOP6HQGHVBKQOX4V/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/34QHDH3LSPIOP6HQGHVBKQOX4V/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":"2026-08-10T07:20:22Z","links":{"resolver":"https://pith.science/pith/34QHDH3LSPIOP6HQGHVBKQOX4V","bundle":"https://pith.science/pith/34QHDH3LSPIOP6HQGHVBKQOX4V/bundle.json","state":"https://pith.science/pith/34QHDH3LSPIOP6HQGHVBKQOX4V/state.json","well_known_bundle":"https://pith.science/.well-known/pith/34QHDH3LSPIOP6HQGHVBKQOX4V/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:34QHDH3LSPIOP6HQGHVBKQOX4V","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":"e5c6715eeb75ab8cd78b42dc59435c92ac73e9095584e8d3c85a8a7130c46211","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-18T01:31:19Z","title_canon_sha256":"14586f302fdd9b685207104ec95e03fc8120c71acdeb6401117a4ee62b9ccadb"},"schema_version":"1.0","source":{"id":"2404.11835","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.11835","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"arxiv_version","alias_value":"2404.11835v2","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11835","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"pith_short_12","alias_value":"34QHDH3LSPIO","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"pith_short_16","alias_value":"34QHDH3LSPIOP6HQ","created_at":"2026-07-05T08:20:29Z"},{"alias_kind":"pith_short_8","alias_value":"34QHDH3L","created_at":"2026-07-05T08:20:29Z"}],"graph_snapshots":[{"event_id":"sha256:9d15849230e704e3c2b689bd653f5fa3d6d52bdd4402dbc2835f344ea35ec7df","target":"graph","created_at":"2026-07-05T08:20:29Z","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/2404.11835/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the Curious About Uncertain Scene (CAUS) dataset, designed to enable Large Language Models, specifically GPT-4, to emulate human cognitive processes for resolving uncertainties. Leveraging this dataset, we investigate the potential of LLMs to engage in questioning effectively. Our approach involves providing scene descriptions embedded with uncertainties to stimulate the generation of reasoning and queries. The queries are then classified according to multi-dimensional criteria. All procedures are facilitated by a collaborative system involving both LLMs and human researchers. Our","authors_text":"Donghyun Kim, Jeh-Kwang Ryu, Minjung Shin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-18T01:31:19Z","title":"CAUS: A Dataset for Question Generation based on Human Cognition Leveraging Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11835","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:daa0d7964909f3c9b44551dce5ccdad32ce97946eef7727128ca84a2e662ffa6","target":"record","created_at":"2026-07-05T08:20:29Z","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":"e5c6715eeb75ab8cd78b42dc59435c92ac73e9095584e8d3c85a8a7130c46211","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-18T01:31:19Z","title_canon_sha256":"14586f302fdd9b685207104ec95e03fc8120c71acdeb6401117a4ee62b9ccadb"},"schema_version":"1.0","source":{"id":"2404.11835","kind":"arxiv","version":2}},"canonical_sha256":"df20719f6b93d0e7f8f031ea1541d7e57ca072d3c209d251f8e4dfc4068d1379","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"df20719f6b93d0e7f8f031ea1541d7e57ca072d3c209d251f8e4dfc4068d1379","first_computed_at":"2026-07-05T08:20:29.228149Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:29.228149Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"N/zxrHEMt6QVkQcaOh0c+1465CaTCsWdimOk4Z+ADGHMplKlrvxpvjiv24kB1+ggzyBmSeJLk9g1YLsswHUSAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:29.228663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.11835","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:daa0d7964909f3c9b44551dce5ccdad32ce97946eef7727128ca84a2e662ffa6","sha256:9d15849230e704e3c2b689bd653f5fa3d6d52bdd4402dbc2835f344ea35ec7df"],"state_sha256":"98d402f5116daea181d3eca855dfe8a3b8d084cf51f08b54ae1e35f155369ae8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TYYXuIlAF0HrbQr5bnPnEk34FlnfnJ7F8UbpTUFSaGHmLVwuOe62PwYBp2n95/O3UT71xFCfQ+/aCPAhSphTAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T07:20:22.953697Z","bundle_sha256":"70cfb7d01b6bb3264206b39fde3ba7456a7108055b244beef777dca13399ca4f"}}