{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:NIEQF4QKR5GE54AO2JIJFLBDWY","short_pith_number":"pith:NIEQF4QK","canonical_record":{"source":{"id":"2305.05576","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-05-09T16:05:36Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d520879e7f3d26db8779c02c063cfb01ad9e21878168b64858e9d1397a76b434","abstract_canon_sha256":"a134dddb9054438232b77126ee9421d75ed641a62a4dedbe5346b35c0decb9cf"},"schema_version":"1.0"},"canonical_sha256":"6a0902f20a8f4c4ef00ed25092ac23b6167758a9bdb2bdc2242de14fb2f1ca15","source":{"kind":"arxiv","id":"2305.05576","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.05576","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"2305.05576v1","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.05576","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"NIEQF4QKR5GE","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"pith_short_16","alias_value":"NIEQF4QKR5GE54AO","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"pith_short_8","alias_value":"NIEQF4QK","created_at":"2026-07-05T06:08:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:NIEQF4QKR5GE54AO2JIJFLBDWY","target":"record","payload":{"canonical_record":{"source":{"id":"2305.05576","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-05-09T16:05:36Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"d520879e7f3d26db8779c02c063cfb01ad9e21878168b64858e9d1397a76b434","abstract_canon_sha256":"a134dddb9054438232b77126ee9421d75ed641a62a4dedbe5346b35c0decb9cf"},"schema_version":"1.0"},"canonical_sha256":"6a0902f20a8f4c4ef00ed25092ac23b6167758a9bdb2bdc2242de14fb2f1ca15","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:08:36.390576Z","signature_b64":"ErJ7WnUzDrpxvFn1iO8pQYvHLPXw2J4Md2lXYF3ufHOUJaaNHjV6gvxJGMbFy+4NDRLRQcc0dtWF6toRjctyDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6a0902f20a8f4c4ef00ed25092ac23b6167758a9bdb2bdc2242de14fb2f1ca15","last_reissued_at":"2026-07-05T06:08:36.390083Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:08:36.390083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.05576","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":"2026-07-05T06:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qFEOv39szxs+gr+LHoa7ttVx+QSgu8tNaATW9i1HTN7I6XG2XLT60Uzaml4fmoPWHOPind1kl07ltYdGGCJVDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:35:45.366984Z"},"content_sha256":"77579b177f0e642aa3b88da890cfd46133375c60805bb5560a9fd2bada89f0db","schema_version":"1.0","event_id":"sha256:77579b177f0e642aa3b88da890cfd46133375c60805bb5560a9fd2bada89f0db"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:NIEQF4QKR5GE54AO2JIJFLBDWY","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large Language Models Humanize Technology","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CY","authors_text":"Pratyush Kumar","submitted_at":"2023-05-09T16:05:36Z","abstract_excerpt":"Large Language Models (LLMs) have made rapid progress in recent months and weeks, garnering significant public attention. This has sparked concerns about aligning these models with human values, their impact on labor markets, and the potential need for regulation in further research and development. However, the discourse often lacks a focus on the imperative to widely diffuse the societal benefits of LLMs. To qualify this societal benefit, we assert that LLMs exhibit emergent abilities to humanize technology more effectively than previous technologies, and for people across language, occupati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.05576","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/2305.05576/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":"2026-07-05T06:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Of5qkGc8HW8xZSBDNf2+OsWEykZLWXAMBYxomxud8lKPKPscB9IpnYf26aMs2jfn9UnMySYJEZWvQsK3CoUwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:35:45.367488Z"},"content_sha256":"ee360cafd831386154e20ea2a4cbf64501937d8d99b3cb15528763466c087b5d","schema_version":"1.0","event_id":"sha256:ee360cafd831386154e20ea2a4cbf64501937d8d99b3cb15528763466c087b5d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NIEQF4QKR5GE54AO2JIJFLBDWY/bundle.json","state_url":"https://pith.science/pith/NIEQF4QKR5GE54AO2JIJFLBDWY/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NIEQF4QKR5GE54AO2JIJFLBDWY/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":"2026-08-13T01:35:45Z","links":{"resolver":"https://pith.science/pith/NIEQF4QKR5GE54AO2JIJFLBDWY","bundle":"https://pith.science/pith/NIEQF4QKR5GE54AO2JIJFLBDWY/bundle.json","state":"https://pith.science/pith/NIEQF4QKR5GE54AO2JIJFLBDWY/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NIEQF4QKR5GE54AO2JIJFLBDWY/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:NIEQF4QKR5GE54AO2JIJFLBDWY","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":"a134dddb9054438232b77126ee9421d75ed641a62a4dedbe5346b35c0decb9cf","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-05-09T16:05:36Z","title_canon_sha256":"d520879e7f3d26db8779c02c063cfb01ad9e21878168b64858e9d1397a76b434"},"schema_version":"1.0","source":{"id":"2305.05576","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.05576","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"2305.05576v1","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.05576","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"NIEQF4QKR5GE","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"pith_short_16","alias_value":"NIEQF4QKR5GE54AO","created_at":"2026-07-05T06:08:36Z"},{"alias_kind":"pith_short_8","alias_value":"NIEQF4QK","created_at":"2026-07-05T06:08:36Z"}],"graph_snapshots":[{"event_id":"sha256:ee360cafd831386154e20ea2a4cbf64501937d8d99b3cb15528763466c087b5d","target":"graph","created_at":"2026-07-05T06:08:36Z","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/2305.05576/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have made rapid progress in recent months and weeks, garnering significant public attention. This has sparked concerns about aligning these models with human values, their impact on labor markets, and the potential need for regulation in further research and development. However, the discourse often lacks a focus on the imperative to widely diffuse the societal benefits of LLMs. To qualify this societal benefit, we assert that LLMs exhibit emergent abilities to humanize technology more effectively than previous technologies, and for people across language, occupati","authors_text":"Pratyush Kumar","cross_cats":["cs.CL"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-05-09T16:05:36Z","title":"Large Language Models Humanize Technology"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.05576","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":"sha256:77579b177f0e642aa3b88da890cfd46133375c60805bb5560a9fd2bada89f0db","target":"record","created_at":"2026-07-05T06:08:36Z","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":"a134dddb9054438232b77126ee9421d75ed641a62a4dedbe5346b35c0decb9cf","cross_cats_sorted":["cs.CL"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CY","submitted_at":"2023-05-09T16:05:36Z","title_canon_sha256":"d520879e7f3d26db8779c02c063cfb01ad9e21878168b64858e9d1397a76b434"},"schema_version":"1.0","source":{"id":"2305.05576","kind":"arxiv","version":1}},"canonical_sha256":"6a0902f20a8f4c4ef00ed25092ac23b6167758a9bdb2bdc2242de14fb2f1ca15","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6a0902f20a8f4c4ef00ed25092ac23b6167758a9bdb2bdc2242de14fb2f1ca15","first_computed_at":"2026-07-05T06:08:36.390083Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:08:36.390083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ErJ7WnUzDrpxvFn1iO8pQYvHLPXw2J4Md2lXYF3ufHOUJaaNHjV6gvxJGMbFy+4NDRLRQcc0dtWF6toRjctyDw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:08:36.390576Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.05576","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:77579b177f0e642aa3b88da890cfd46133375c60805bb5560a9fd2bada89f0db","sha256:ee360cafd831386154e20ea2a4cbf64501937d8d99b3cb15528763466c087b5d"],"state_sha256":"38a37079177c8364f5753f609bcf00daa100a7cdfa6a948637b527c5b994eba4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wATD8rWplRPGULtLnjrH4ATRFOj38i9pcllzZnbPzuK5IpAL2eUzdGJHXmfu2NqVqYGZPYWE0JE+SQeDSWgiAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T01:35:45.372784Z","bundle_sha256":"4b130e7e064fb3fce17603cef48e36d49797482814cb158554fb71955263ed2c"}}