{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VYLPNRBV5P3KCWIGXKWAYM543J","short_pith_number":"pith:VYLPNRBV","canonical_record":{"source":{"id":"2307.10700","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2023-07-20T08:45:00Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"8109c1b286b69b4694ccb09d79a35fa9a63f5adb451bd1349f2ea71b46414a5e","abstract_canon_sha256":"33c7fb6290766e3c6471316f9ca35dc9e603b234292769814c5002f493f2947c"},"schema_version":"1.0"},"canonical_sha256":"ae16f6c435ebf6a15906baac0c33bcda6cbc7452f409f00d63c9896043f20b97","source":{"kind":"arxiv","id":"2307.10700","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10700","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10700v4","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10700","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"VYLPNRBV5P3K","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"VYLPNRBV5P3KCWIG","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"VYLPNRBV","created_at":"2026-07-05T08:12:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VYLPNRBV5P3KCWIGXKWAYM543J","target":"record","payload":{"canonical_record":{"source":{"id":"2307.10700","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2023-07-20T08:45:00Z","cross_cats_sorted":["cs.CL","cs.CY"],"title_canon_sha256":"8109c1b286b69b4694ccb09d79a35fa9a63f5adb451bd1349f2ea71b46414a5e","abstract_canon_sha256":"33c7fb6290766e3c6471316f9ca35dc9e603b234292769814c5002f493f2947c"},"schema_version":"1.0"},"canonical_sha256":"ae16f6c435ebf6a15906baac0c33bcda6cbc7452f409f00d63c9896043f20b97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:12:44.138178Z","signature_b64":"5cUhQReRm0EDNg2PXGF50nXsafnjlbzMsBqyTTN+nTzmvVVo6JdXJuYB8+Vyk0pcMizC4yR0QViHI1CZAAlTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae16f6c435ebf6a15906baac0c33bcda6cbc7452f409f00d63c9896043f20b97","last_reissued_at":"2026-07-05T08:12:44.137673Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:12:44.137673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.10700","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:12:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JAK/ln9hqFndPSelb3KfQ9AxorlRKTkYsTchgVHERQrlGoARCkbiKInmp/vVeGKXTrLNpusv/qIYeUlkVszNBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:47:11.816182Z"},"content_sha256":"14793412fa893fd362d48c197c092712388389c6a35ea3bc1643dbb12c2ffb91","schema_version":"1.0","event_id":"sha256:14793412fa893fd362d48c197c092712388389c6a35ea3bc1643dbb12c2ffb91"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VYLPNRBV5P3KCWIGXKWAYM543J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.CL","cs.CY"],"primary_cat":"cs.DL","authors_text":"Emma Pierson, Gabriel Agostini, Kenny Peng, Nikhil Garg, Rajiv Movva, Sidhika Balachandar","submitted_at":"2023-07-20T08:45:00Z","abstract_excerpt":"Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv papers, focusing on recent trends in 2023 vs. 2018-2022. First, we study disciplinary shifts: LLM research increasingly considers societal impacts, evidenced by 20x growth in LLM submissions to the Computers and Society sub-arXiv. An influx of new authors -- half of all first authors in 2023 -- are entering from non-NLP fields of CS, driving disciplinary expansi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10700","kind":"arxiv","version":4},"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/2307.10700/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":"2026-07-05T08:12:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f+Uesg/Knii7gFHLNxkFA42hW4oevwNGBhWDeze/quQf5TgBajeW+0h4Daf8yd9tSSTJr9Bo8umZ6rm+9+/uAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T08:47:11.816580Z"},"content_sha256":"6ca9dea2b2235992bc5726eabb3f465e30ee6e54ea717e09fe22337bcc825249","schema_version":"1.0","event_id":"sha256:6ca9dea2b2235992bc5726eabb3f465e30ee6e54ea717e09fe22337bcc825249"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VYLPNRBV5P3KCWIGXKWAYM543J/bundle.json","state_url":"https://pith.science/pith/VYLPNRBV5P3KCWIGXKWAYM543J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VYLPNRBV5P3KCWIGXKWAYM543J/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":"2026-07-07T08:47:11Z","links":{"resolver":"https://pith.science/pith/VYLPNRBV5P3KCWIGXKWAYM543J","bundle":"https://pith.science/pith/VYLPNRBV5P3KCWIGXKWAYM543J/bundle.json","state":"https://pith.science/pith/VYLPNRBV5P3KCWIGXKWAYM543J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VYLPNRBV5P3KCWIGXKWAYM543J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VYLPNRBV5P3KCWIGXKWAYM543J","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":"33c7fb6290766e3c6471316f9ca35dc9e603b234292769814c5002f493f2947c","cross_cats_sorted":["cs.CL","cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2023-07-20T08:45:00Z","title_canon_sha256":"8109c1b286b69b4694ccb09d79a35fa9a63f5adb451bd1349f2ea71b46414a5e"},"schema_version":"1.0","source":{"id":"2307.10700","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.10700","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2307.10700v4","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.10700","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"VYLPNRBV5P3K","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"VYLPNRBV5P3KCWIG","created_at":"2026-07-05T08:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"VYLPNRBV","created_at":"2026-07-05T08:12:44Z"}],"graph_snapshots":[{"event_id":"sha256:6ca9dea2b2235992bc5726eabb3f465e30ee6e54ea717e09fe22337bcc825249","target":"graph","created_at":"2026-07-05T08:12:44Z","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/2307.10700/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are dramatically influencing AI research, spurring discussions on what has changed so far and how to shape the field's future. To clarify such questions, we analyze a new dataset of 16,979 LLM-related arXiv papers, focusing on recent trends in 2023 vs. 2018-2022. First, we study disciplinary shifts: LLM research increasingly considers societal impacts, evidenced by 20x growth in LLM submissions to the Computers and Society sub-arXiv. An influx of new authors -- half of all first authors in 2023 -- are entering from non-NLP fields of CS, driving disciplinary expansi","authors_text":"Emma Pierson, Gabriel Agostini, Kenny Peng, Nikhil Garg, Rajiv Movva, Sidhika Balachandar","cross_cats":["cs.CL","cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2023-07-20T08:45:00Z","title":"Topics, Authors, and Institutions in Large Language Model Research: Trends from 17K arXiv Papers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.10700","kind":"arxiv","version":4},"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":"sha256:14793412fa893fd362d48c197c092712388389c6a35ea3bc1643dbb12c2ffb91","target":"record","created_at":"2026-07-05T08:12:44Z","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":"33c7fb6290766e3c6471316f9ca35dc9e603b234292769814c5002f493f2947c","cross_cats_sorted":["cs.CL","cs.CY"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.DL","submitted_at":"2023-07-20T08:45:00Z","title_canon_sha256":"8109c1b286b69b4694ccb09d79a35fa9a63f5adb451bd1349f2ea71b46414a5e"},"schema_version":"1.0","source":{"id":"2307.10700","kind":"arxiv","version":4}},"canonical_sha256":"ae16f6c435ebf6a15906baac0c33bcda6cbc7452f409f00d63c9896043f20b97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae16f6c435ebf6a15906baac0c33bcda6cbc7452f409f00d63c9896043f20b97","first_computed_at":"2026-07-05T08:12:44.137673Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:12:44.137673Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5cUhQReRm0EDNg2PXGF50nXsafnjlbzMsBqyTTN+nTzmvVVo6JdXJuYB8+Vyk0pcMizC4yR0QViHI1CZAAlTAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:12:44.138178Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.10700","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:14793412fa893fd362d48c197c092712388389c6a35ea3bc1643dbb12c2ffb91","sha256:6ca9dea2b2235992bc5726eabb3f465e30ee6e54ea717e09fe22337bcc825249"],"state_sha256":"319ebbdf98f20f7d8a4ebb8dfde85bf006c10db5f5249a5bb498f7c104f8a570"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"65xFFmZ/Q/ioJkAL+/6E3rgHT5QUtY6reL0JhFonjb7lWN+XMrt1tQvuRAbjpK8UzAx5bnxipEbQWDW1IeNHAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T08:47:11.818538Z","bundle_sha256":"bec82f6374be9b3a176ccfed3b01df77742b2d9bac0297e43ea09a7d7258da66"}}