{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:TI6DFPS2HX562AOSYZYUD67KET","short_pith_number":"pith:TI6DFPS2","canonical_record":{"source":{"id":"2405.11579","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T15:13:51Z","cross_cats_sorted":[],"title_canon_sha256":"ef0f21330369fffba6e20399097708986ed71784fa4f2f8c29cb4b847c13b422","abstract_canon_sha256":"51e8c9e8feb966db7ab6085e64e2dccd31153d5dbf8fd97815f2c04dbf51a18f"},"schema_version":"1.0"},"canonical_sha256":"9a3c32be5a3dfbed01d2c67141fbea24d0c477021febca3a9aa591622454129f","source":{"kind":"arxiv","id":"2405.11579","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11579","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11579v1","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11579","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"pith_short_12","alias_value":"TI6DFPS2HX56","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"pith_short_16","alias_value":"TI6DFPS2HX562AOS","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"pith_short_8","alias_value":"TI6DFPS2","created_at":"2026-07-05T08:20:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:TI6DFPS2HX562AOSYZYUD67KET","target":"record","payload":{"canonical_record":{"source":{"id":"2405.11579","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T15:13:51Z","cross_cats_sorted":[],"title_canon_sha256":"ef0f21330369fffba6e20399097708986ed71784fa4f2f8c29cb4b847c13b422","abstract_canon_sha256":"51e8c9e8feb966db7ab6085e64e2dccd31153d5dbf8fd97815f2c04dbf51a18f"},"schema_version":"1.0"},"canonical_sha256":"9a3c32be5a3dfbed01d2c67141fbea24d0c477021febca3a9aa591622454129f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:20:41.877559Z","signature_b64":"TB9iDViyAoyqQw2ZA3fCp5+KIi8LWPZldzitqpXDrOFgEKogMVcrk9BypQVSSdSzgj6dLd/hkbx71x2IEBo+BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a3c32be5a3dfbed01d2c67141fbea24d0c477021febca3a9aa591622454129f","last_reissued_at":"2026-07-05T08:20:41.877131Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:20:41.877131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2405.11579","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":"2026-07-05T08:20:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Agi89OSVzOOZvDX/Uxrpy3zPL/Ihdr4AtZQSqdUouF+K+TFmabH0m3l6AG40aiudDJViw6tO+OOOW7sN/HqhAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:47:48.158045Z"},"content_sha256":"5a12d04c79a2a3c3b2259b22be4f32bfbc18c502f2d1c8cc016808b6cc245608","schema_version":"1.0","event_id":"sha256:5a12d04c79a2a3c3b2259b22be4f32bfbc18c502f2d1c8cc016808b6cc245608"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:TI6DFPS2HX562AOSYZYUD67KET","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Aniket Deroy, Subhankar Maity, Sudeshna Sarkar","submitted_at":"2024-05-19T15:13:51Z","abstract_excerpt":"In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education. We embark on an exploration of prompted LLMs within the context of educational and assessment applications to uncover their potential. Through a series of carefully crafted research questions, we investigate the effectiveness of prompt-based techniques in generating open-ended questions from school-level textbooks, assess their efficiency in generating open-ended questions from undergraduate-level technical textboo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11579","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/2405.11579/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":"2026-07-05T08:20:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1ns3OWcRQVKGP2I2ZOvPAKyaa96cxbxgekAWjNniJT2ny8JNSfC9xUquRKbTQ3DXeG/SakxI8JK03aZh8UBcAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T02:47:48.158436Z"},"content_sha256":"b8dbb19550f6fc5e950d61dcdbc868b97743b8e7c73c27d8e213668b4b661c8f","schema_version":"1.0","event_id":"sha256:b8dbb19550f6fc5e950d61dcdbc868b97743b8e7c73c27d8e213668b4b661c8f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TI6DFPS2HX562AOSYZYUD67KET/bundle.json","state_url":"https://pith.science/pith/TI6DFPS2HX562AOSYZYUD67KET/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TI6DFPS2HX562AOSYZYUD67KET/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":"2026-07-09T02:47:48Z","links":{"resolver":"https://pith.science/pith/TI6DFPS2HX562AOSYZYUD67KET","bundle":"https://pith.science/pith/TI6DFPS2HX562AOSYZYUD67KET/bundle.json","state":"https://pith.science/pith/TI6DFPS2HX562AOSYZYUD67KET/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TI6DFPS2HX562AOSYZYUD67KET/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:TI6DFPS2HX562AOSYZYUD67KET","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":"51e8c9e8feb966db7ab6085e64e2dccd31153d5dbf8fd97815f2c04dbf51a18f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T15:13:51Z","title_canon_sha256":"ef0f21330369fffba6e20399097708986ed71784fa4f2f8c29cb4b847c13b422"},"schema_version":"1.0","source":{"id":"2405.11579","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11579","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11579v1","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11579","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"pith_short_12","alias_value":"TI6DFPS2HX56","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"pith_short_16","alias_value":"TI6DFPS2HX562AOS","created_at":"2026-07-05T08:20:41Z"},{"alias_kind":"pith_short_8","alias_value":"TI6DFPS2","created_at":"2026-07-05T08:20:41Z"}],"graph_snapshots":[{"event_id":"sha256:b8dbb19550f6fc5e950d61dcdbc868b97743b8e7c73c27d8e213668b4b661c8f","target":"graph","created_at":"2026-07-05T08:20:41Z","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/2405.11579/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education. We embark on an exploration of prompted LLMs within the context of educational and assessment applications to uncover their potential. Through a series of carefully crafted research questions, we investigate the effectiveness of prompt-based techniques in generating open-ended questions from school-level textbooks, assess their efficiency in generating open-ended questions from undergraduate-level technical textboo","authors_text":"Aniket Deroy, Subhankar Maity, Sudeshna Sarkar","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T15:13:51Z","title":"Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11579","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":"sha256:5a12d04c79a2a3c3b2259b22be4f32bfbc18c502f2d1c8cc016808b6cc245608","target":"record","created_at":"2026-07-05T08:20:41Z","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":"51e8c9e8feb966db7ab6085e64e2dccd31153d5dbf8fd97815f2c04dbf51a18f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-05-19T15:13:51Z","title_canon_sha256":"ef0f21330369fffba6e20399097708986ed71784fa4f2f8c29cb4b847c13b422"},"schema_version":"1.0","source":{"id":"2405.11579","kind":"arxiv","version":1}},"canonical_sha256":"9a3c32be5a3dfbed01d2c67141fbea24d0c477021febca3a9aa591622454129f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a3c32be5a3dfbed01d2c67141fbea24d0c477021febca3a9aa591622454129f","first_computed_at":"2026-07-05T08:20:41.877131Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:41.877131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"TB9iDViyAoyqQw2ZA3fCp5+KIi8LWPZldzitqpXDrOFgEKogMVcrk9BypQVSSdSzgj6dLd/hkbx71x2IEBo+BA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:41.877559Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11579","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5a12d04c79a2a3c3b2259b22be4f32bfbc18c502f2d1c8cc016808b6cc245608","sha256:b8dbb19550f6fc5e950d61dcdbc868b97743b8e7c73c27d8e213668b4b661c8f"],"state_sha256":"47d1a55dd0b7aa086a88f58fae7808b4770af0ab07fd7c319d69944cd2131eb4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Xtaa9X1UWM3jHKPdBgO7O1F4MTLhrhWM92OZKlK4u3iJRZ4aIjN00MM9nu0TNgLNrM5ufP3cdHDkIXesAh09CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T02:47:48.160834Z","bundle_sha256":"62a85fd87b34aa02173e956fc04e74fcf2b351206b6181c53d286d1cb73b4d89"}}