{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VRXVI5QVKQHY7GHOLEXNXTS72D","short_pith_number":"pith:VRXVI5QV","canonical_record":{"source":{"id":"2402.16142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T16:47:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b06f700d9453388e65e7035aa3808be7cdd66e820a99accef37511994f935493","abstract_canon_sha256":"baafe46f1e9bbf23de72dcbed649b64c0382b46a84e096254f03681814d2e3f1"},"schema_version":"1.0"},"canonical_sha256":"ac6f547615540f8f98ee592edbce5fd0c2f1cf59ec244ffbea030c99ca1b7084","source":{"kind":"arxiv","id":"2402.16142","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.16142","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"arxiv_version","alias_value":"2402.16142v1","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.16142","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"pith_short_12","alias_value":"VRXVI5QVKQHY","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"pith_short_16","alias_value":"VRXVI5QVKQHY7GHO","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"pith_short_8","alias_value":"VRXVI5QV","created_at":"2026-07-05T07:49:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VRXVI5QVKQHY7GHOLEXNXTS72D","target":"record","payload":{"canonical_record":{"source":{"id":"2402.16142","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T16:47:59Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"b06f700d9453388e65e7035aa3808be7cdd66e820a99accef37511994f935493","abstract_canon_sha256":"baafe46f1e9bbf23de72dcbed649b64c0382b46a84e096254f03681814d2e3f1"},"schema_version":"1.0"},"canonical_sha256":"ac6f547615540f8f98ee592edbce5fd0c2f1cf59ec244ffbea030c99ca1b7084","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:49:02.800513Z","signature_b64":"FK4sKIy50PzIyRro0eIETYfYQI4UTAvKhLN0TuibBXFoVvrKeldG55sW3szsbAayPRZqEfioaBbdX/jwR9JxBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ac6f547615540f8f98ee592edbce5fd0c2f1cf59ec244ffbea030c99ca1b7084","last_reissued_at":"2026-07-05T07:49:02.800110Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:49:02.800110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.16142","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":"2026-07-05T07:49:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HiYz7JJ+k62rwo9EGljLKHZahKFtQ8y6yAhZYE69OjqPaTrK43EEwAXaz9ZzPnCExX6DePPe1rrmQzQKjtN4Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:47:32.993848Z"},"content_sha256":"3fd4b331d672d5803d3cf07977fc56998dca198434a6e101633e38f517b8d86f","schema_version":"1.0","event_id":"sha256:3fd4b331d672d5803d3cf07977fc56998dca198434a6e101633e38f517b8d86f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VRXVI5QVKQHY7GHOLEXNXTS72D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ankit Kumar, Gautam Siddharth Kashyap, Md Tabrez Nafis, Pravneet Kaur, Sandeep Kumar, Vikrant Shokeen","submitted_at":"2024-02-25T16:47:59Z","abstract_excerpt":"This groundbreaking study explores the expanse of Large Language Models (LLMs), such as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT) across varied domains ranging from technology, finance, healthcare to education. Despite their established prowess in Natural Language Processing (NLP), these LLMs have not been systematically examined for their impact on domains such as fitness, and holistic well-being, urban planning, climate modelling as well as disaster management. This review paper, in addition to furnishing a comprehensive analy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.16142","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/2402.16142/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":"2026-07-05T07:49:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JKQpnJKNye2LtUiv6jCczJYK+8N1DbwivU544RU2rRKpu4j17y3DYrhR+VlMhzz3oqNRdHHDHz62VqVGzv+KDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:47:32.994804Z"},"content_sha256":"1e7e71af4b4b978fb6f4ef42d172a2174a727cff9fdef193bf4a700034bdb7c6","schema_version":"1.0","event_id":"sha256:1e7e71af4b4b978fb6f4ef42d172a2174a727cff9fdef193bf4a700034bdb7c6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VRXVI5QVKQHY7GHOLEXNXTS72D/bundle.json","state_url":"https://pith.science/pith/VRXVI5QVKQHY7GHOLEXNXTS72D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VRXVI5QVKQHY7GHOLEXNXTS72D/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":"2026-08-10T08:47:32Z","links":{"resolver":"https://pith.science/pith/VRXVI5QVKQHY7GHOLEXNXTS72D","bundle":"https://pith.science/pith/VRXVI5QVKQHY7GHOLEXNXTS72D/bundle.json","state":"https://pith.science/pith/VRXVI5QVKQHY7GHOLEXNXTS72D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VRXVI5QVKQHY7GHOLEXNXTS72D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VRXVI5QVKQHY7GHOLEXNXTS72D","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":"baafe46f1e9bbf23de72dcbed649b64c0382b46a84e096254f03681814d2e3f1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T16:47:59Z","title_canon_sha256":"b06f700d9453388e65e7035aa3808be7cdd66e820a99accef37511994f935493"},"schema_version":"1.0","source":{"id":"2402.16142","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.16142","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"arxiv_version","alias_value":"2402.16142v1","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.16142","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"pith_short_12","alias_value":"VRXVI5QVKQHY","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"pith_short_16","alias_value":"VRXVI5QVKQHY7GHO","created_at":"2026-07-05T07:49:02Z"},{"alias_kind":"pith_short_8","alias_value":"VRXVI5QV","created_at":"2026-07-05T07:49:02Z"}],"graph_snapshots":[{"event_id":"sha256:1e7e71af4b4b978fb6f4ef42d172a2174a727cff9fdef193bf4a700034bdb7c6","target":"graph","created_at":"2026-07-05T07:49:02Z","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/2402.16142/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This groundbreaking study explores the expanse of Large Language Models (LLMs), such as Generative Pre-Trained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT) across varied domains ranging from technology, finance, healthcare to education. Despite their established prowess in Natural Language Processing (NLP), these LLMs have not been systematically examined for their impact on domains such as fitness, and holistic well-being, urban planning, climate modelling as well as disaster management. This review paper, in addition to furnishing a comprehensive analy","authors_text":"Ankit Kumar, Gautam Siddharth Kashyap, Md Tabrez Nafis, Pravneet Kaur, Sandeep Kumar, Vikrant Shokeen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T16:47:59Z","title":"From Text to Transformation: A Comprehensive Review of Large Language Models' Versatility"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.16142","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":"sha256:3fd4b331d672d5803d3cf07977fc56998dca198434a6e101633e38f517b8d86f","target":"record","created_at":"2026-07-05T07:49:02Z","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":"baafe46f1e9bbf23de72dcbed649b64c0382b46a84e096254f03681814d2e3f1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-25T16:47:59Z","title_canon_sha256":"b06f700d9453388e65e7035aa3808be7cdd66e820a99accef37511994f935493"},"schema_version":"1.0","source":{"id":"2402.16142","kind":"arxiv","version":1}},"canonical_sha256":"ac6f547615540f8f98ee592edbce5fd0c2f1cf59ec244ffbea030c99ca1b7084","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ac6f547615540f8f98ee592edbce5fd0c2f1cf59ec244ffbea030c99ca1b7084","first_computed_at":"2026-07-05T07:49:02.800110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:49:02.800110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FK4sKIy50PzIyRro0eIETYfYQI4UTAvKhLN0TuibBXFoVvrKeldG55sW3szsbAayPRZqEfioaBbdX/jwR9JxBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:49:02.800513Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.16142","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fd4b331d672d5803d3cf07977fc56998dca198434a6e101633e38f517b8d86f","sha256:1e7e71af4b4b978fb6f4ef42d172a2174a727cff9fdef193bf4a700034bdb7c6"],"state_sha256":"3c62f06a272362690f161d6dcf41c720f2be1da43515877967b55f366d019737"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PIeJyLyKyzAjG3QxovDsQ872xJDno9FNjFEgqMjWOi9q5AHRql4h0oBLw76fqzQ4x9ZRM/3j75ceT/huGJwADQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T08:47:33.002941Z","bundle_sha256":"bf7e0707c83ac865551a75d6d6bfd5f78215ae43fcc9dfcca4515734ceeee97a"}}