{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4V6IWH2NY3E2XB3OZ7CYB5CNZR","short_pith_number":"pith:4V6IWH2N","canonical_record":{"source":{"id":"2409.00090","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-26T08:17:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"506ceba70716c939bfb4252420a7e1a273c5beac17cff0ee7c4e8d195bda226a","abstract_canon_sha256":"fc1a98774479d071af0a5aa5a874cc176615f6c36238d70643abfc401a803e09"},"schema_version":"1.0"},"canonical_sha256":"e57c8b1f4dc6c9ab876ecfc580f44dcc7dbc8dd304ad65818369d29de8e2610c","source":{"kind":"arxiv","id":"2409.00090","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00090","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00090v1","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00090","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"pith_short_12","alias_value":"4V6IWH2NY3E2","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"pith_short_16","alias_value":"4V6IWH2NY3E2XB3O","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"pith_short_8","alias_value":"4V6IWH2N","created_at":"2026-07-05T09:01:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4V6IWH2NY3E2XB3OZ7CYB5CNZR","target":"record","payload":{"canonical_record":{"source":{"id":"2409.00090","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-26T08:17:42Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"506ceba70716c939bfb4252420a7e1a273c5beac17cff0ee7c4e8d195bda226a","abstract_canon_sha256":"fc1a98774479d071af0a5aa5a874cc176615f6c36238d70643abfc401a803e09"},"schema_version":"1.0"},"canonical_sha256":"e57c8b1f4dc6c9ab876ecfc580f44dcc7dbc8dd304ad65818369d29de8e2610c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:01:40.769617Z","signature_b64":"4GynD/nlI5SyzDJAlnVmbNDpRq40gx2CX6jGPrSnwgjR7UQShFOfz+XbSCX5e2illsYlDtsEDdJ6mh/GHN1QDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e57c8b1f4dc6c9ab876ecfc580f44dcc7dbc8dd304ad65818369d29de8e2610c","last_reissued_at":"2026-07-05T09:01:40.769199Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:01:40.769199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2409.00090","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":"2026-07-05T09:01:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f37/5wzQ3MPmeIHDc9zta0m/UZAG3vewz9CMe3ZliP0jHNaOiRkFcLS3il7LCy+2fAkLKxNnZLmPj/niOre+Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:14:11.059691Z"},"content_sha256":"2d5692c68d18a28873ed3e42c30d8a9bf391fe842ce914042feeecf577793aac","schema_version":"1.0","event_id":"sha256:2d5692c68d18a28873ed3e42c30d8a9bf391fe842ce914042feeecf577793aac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4V6IWH2NY3E2XB3OZ7CYB5CNZR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating ChatGPT on Nuclear Domain-Specific Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Daniel Lau, Issam Hammad, Mischa de Costa, Muhammad Anwar","submitted_at":"2024-08-26T08:17:42Z","abstract_excerpt":"This paper examines the application of ChatGPT, a large language model (LLM), for question-and-answer (Q&A) tasks in the highly specialized field of nuclear data. The primary focus is on evaluating ChatGPT's performance on a curated test dataset, comparing the outcomes of a standalone LLM with those generated through a Retrieval Augmented Generation (RAG) approach. LLMs, despite their recent advancements, are prone to generating incorrect or 'hallucinated' information, which is a significant limitation in applications requiring high accuracy and reliability. This study explores the potential o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00090","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/2409.00090/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":"2026-07-05T09:01:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hwh5rKb7/G+gI9jKSg48jsWys1asIcrYE5iX75Qvz/KkVqAo7H9NgD/IIFPMIWZjB0dwdIEm153VvEiAp6JACw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:14:11.060204Z"},"content_sha256":"608400990f960add9829d5f401b8146c028d4bd81b42af3d2398e4a72cf9fd59","schema_version":"1.0","event_id":"sha256:608400990f960add9829d5f401b8146c028d4bd81b42af3d2398e4a72cf9fd59"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR/bundle.json","state_url":"https://pith.science/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR/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":"2026-08-15T05:14:11Z","links":{"resolver":"https://pith.science/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR","bundle":"https://pith.science/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR/bundle.json","state":"https://pith.science/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4V6IWH2NY3E2XB3OZ7CYB5CNZR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4V6IWH2NY3E2XB3OZ7CYB5CNZR","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":"fc1a98774479d071af0a5aa5a874cc176615f6c36238d70643abfc401a803e09","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-26T08:17:42Z","title_canon_sha256":"506ceba70716c939bfb4252420a7e1a273c5beac17cff0ee7c4e8d195bda226a"},"schema_version":"1.0","source":{"id":"2409.00090","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.00090","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"arxiv_version","alias_value":"2409.00090v1","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.00090","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"pith_short_12","alias_value":"4V6IWH2NY3E2","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"pith_short_16","alias_value":"4V6IWH2NY3E2XB3O","created_at":"2026-07-05T09:01:40Z"},{"alias_kind":"pith_short_8","alias_value":"4V6IWH2N","created_at":"2026-07-05T09:01:40Z"}],"graph_snapshots":[{"event_id":"sha256:608400990f960add9829d5f401b8146c028d4bd81b42af3d2398e4a72cf9fd59","target":"graph","created_at":"2026-07-05T09:01:40Z","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/2409.00090/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper examines the application of ChatGPT, a large language model (LLM), for question-and-answer (Q&A) tasks in the highly specialized field of nuclear data. The primary focus is on evaluating ChatGPT's performance on a curated test dataset, comparing the outcomes of a standalone LLM with those generated through a Retrieval Augmented Generation (RAG) approach. LLMs, despite their recent advancements, are prone to generating incorrect or 'hallucinated' information, which is a significant limitation in applications requiring high accuracy and reliability. This study explores the potential o","authors_text":"Daniel Lau, Issam Hammad, Mischa de Costa, Muhammad Anwar","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-26T08:17:42Z","title":"Evaluating ChatGPT on Nuclear Domain-Specific Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.00090","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":"sha256:2d5692c68d18a28873ed3e42c30d8a9bf391fe842ce914042feeecf577793aac","target":"record","created_at":"2026-07-05T09:01:40Z","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":"fc1a98774479d071af0a5aa5a874cc176615f6c36238d70643abfc401a803e09","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-26T08:17:42Z","title_canon_sha256":"506ceba70716c939bfb4252420a7e1a273c5beac17cff0ee7c4e8d195bda226a"},"schema_version":"1.0","source":{"id":"2409.00090","kind":"arxiv","version":1}},"canonical_sha256":"e57c8b1f4dc6c9ab876ecfc580f44dcc7dbc8dd304ad65818369d29de8e2610c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e57c8b1f4dc6c9ab876ecfc580f44dcc7dbc8dd304ad65818369d29de8e2610c","first_computed_at":"2026-07-05T09:01:40.769199Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:01:40.769199Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4GynD/nlI5SyzDJAlnVmbNDpRq40gx2CX6jGPrSnwgjR7UQShFOfz+XbSCX5e2illsYlDtsEDdJ6mh/GHN1QDw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:01:40.769617Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.00090","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d5692c68d18a28873ed3e42c30d8a9bf391fe842ce914042feeecf577793aac","sha256:608400990f960add9829d5f401b8146c028d4bd81b42af3d2398e4a72cf9fd59"],"state_sha256":"d1e7064b2e65e9ca086dc42d4385b4b2ae06acc6d2e53ac771b2583ee02829d1"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HFGR3xitk/Af91Ftaa88ttMyO5mPka9BD6woPrsyenPLlM5y/IVyF/aTZF+fs+EX3AyTdbCExq+Uej9df7tkDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:14:11.063764Z","bundle_sha256":"91d9502c47e50927e2a905ea1843a0b25b682f9c0c8179bfb4db73ebca2e149b"}}