{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:CLCSYDVKQPWA2ECKLE7IFN5XN3","short_pith_number":"pith:CLCSYDVK","canonical_record":{"source":{"id":"2306.01183","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-01T22:43:37Z","cross_cats_sorted":[],"title_canon_sha256":"62f2a32739f712a6d51499afe216850033aa4bda216db37ef89e7a3c823fc3ca","abstract_canon_sha256":"835bfd96c971184498fb2ceb3ab3d760ec74a6527928bbacfe699b2709bf11cc"},"schema_version":"1.0"},"canonical_sha256":"12c52c0eaa83ec0d104a593e82b7b76ecb01b8b0d6d868f2b5cfa69ccb367c67","source":{"kind":"arxiv","id":"2306.01183","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01183","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01183v1","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01183","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"pith_short_12","alias_value":"CLCSYDVKQPWA","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"pith_short_16","alias_value":"CLCSYDVKQPWA2ECK","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"pith_short_8","alias_value":"CLCSYDVK","created_at":"2026-07-05T06:16:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:CLCSYDVKQPWA2ECKLE7IFN5XN3","target":"record","payload":{"canonical_record":{"source":{"id":"2306.01183","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-01T22:43:37Z","cross_cats_sorted":[],"title_canon_sha256":"62f2a32739f712a6d51499afe216850033aa4bda216db37ef89e7a3c823fc3ca","abstract_canon_sha256":"835bfd96c971184498fb2ceb3ab3d760ec74a6527928bbacfe699b2709bf11cc"},"schema_version":"1.0"},"canonical_sha256":"12c52c0eaa83ec0d104a593e82b7b76ecb01b8b0d6d868f2b5cfa69ccb367c67","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:16:39.114261Z","signature_b64":"+pHMJ4/t800zy0SUe+cH0fw9TsfuJD7y0OMjOxs46Pd2WVAn1MmmOUPNUXlkrHGSP6b4ohGxRCMLydrTbjTCDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12c52c0eaa83ec0d104a593e82b7b76ecb01b8b0d6d868f2b5cfa69ccb367c67","last_reissued_at":"2026-07-05T06:16:39.113851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:16:39.113851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.01183","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":"2026-07-05T06:16:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U+Fm1E3Aflg6WWnHlBR5PyqQbz7LkIhQa6RxsjeuR/3X4/KJRVsjWmsUrIGRSNjkLwoj4WV86hr+84WbU98lDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:37:39.075429Z"},"content_sha256":"b546f7435949c3a0242a37f038176a985d535ee19d25c93562ac430bc3955877","schema_version":"1.0","event_id":"sha256:b546f7435949c3a0242a37f038176a985d535ee19d25c93562ac430bc3955877"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:CLCSYDVKQPWA2ECKLE7IFN5XN3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Adithya V Ganesan, August H{\\aa}kan Nilsson, H. Andrew Schwartz, Yash Kumar Lal","submitted_at":"2023-06-01T22:43:37Z","abstract_excerpt":"Very large language models (LLMs) perform extremely well on a spectrum of NLP tasks in a zero-shot setting. However, little is known about their performance on human-level NLP problems which rely on understanding psychological concepts, such as assessing personality traits. In this work, we investigate the zero-shot ability of GPT-3 to estimate the Big 5 personality traits from users' social media posts. Through a set of systematic experiments, we find that zero-shot GPT-3 performance is somewhat close to an existing pre-trained SotA for broad classification upon injecting knowledge about the "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01183","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/2306.01183/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":"2026-07-05T06:16:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TfU2ak1vSEjCcldXBLfbafvH6O5vcPU3MUxD0ixhxb6ijZt+wftUt36xRaRBTsgkyuGqV/k5L7np2fF5uDLzBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T05:37:39.076248Z"},"content_sha256":"1f23cdf346968755334765d0da8c37ced2e9dbea4ea97e2919839899b2b3db8b","schema_version":"1.0","event_id":"sha256:1f23cdf346968755334765d0da8c37ced2e9dbea4ea97e2919839899b2b3db8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3/bundle.json","state_url":"https://pith.science/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3/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":"2026-08-07T05:37:39Z","links":{"resolver":"https://pith.science/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3","bundle":"https://pith.science/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3/bundle.json","state":"https://pith.science/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CLCSYDVKQPWA2ECKLE7IFN5XN3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:CLCSYDVKQPWA2ECKLE7IFN5XN3","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":"835bfd96c971184498fb2ceb3ab3d760ec74a6527928bbacfe699b2709bf11cc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-01T22:43:37Z","title_canon_sha256":"62f2a32739f712a6d51499afe216850033aa4bda216db37ef89e7a3c823fc3ca"},"schema_version":"1.0","source":{"id":"2306.01183","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01183","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01183v1","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01183","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"pith_short_12","alias_value":"CLCSYDVKQPWA","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"pith_short_16","alias_value":"CLCSYDVKQPWA2ECK","created_at":"2026-07-05T06:16:39Z"},{"alias_kind":"pith_short_8","alias_value":"CLCSYDVK","created_at":"2026-07-05T06:16:39Z"}],"graph_snapshots":[{"event_id":"sha256:1f23cdf346968755334765d0da8c37ced2e9dbea4ea97e2919839899b2b3db8b","target":"graph","created_at":"2026-07-05T06:16:39Z","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/2306.01183/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Very large language models (LLMs) perform extremely well on a spectrum of NLP tasks in a zero-shot setting. However, little is known about their performance on human-level NLP problems which rely on understanding psychological concepts, such as assessing personality traits. In this work, we investigate the zero-shot ability of GPT-3 to estimate the Big 5 personality traits from users' social media posts. Through a set of systematic experiments, we find that zero-shot GPT-3 performance is somewhat close to an existing pre-trained SotA for broad classification upon injecting knowledge about the ","authors_text":"Adithya V Ganesan, August H{\\aa}kan Nilsson, H. Andrew Schwartz, Yash Kumar Lal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-01T22:43:37Z","title":"Systematic Evaluation of GPT-3 for Zero-Shot Personality Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01183","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:b546f7435949c3a0242a37f038176a985d535ee19d25c93562ac430bc3955877","target":"record","created_at":"2026-07-05T06:16:39Z","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":"835bfd96c971184498fb2ceb3ab3d760ec74a6527928bbacfe699b2709bf11cc","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-06-01T22:43:37Z","title_canon_sha256":"62f2a32739f712a6d51499afe216850033aa4bda216db37ef89e7a3c823fc3ca"},"schema_version":"1.0","source":{"id":"2306.01183","kind":"arxiv","version":1}},"canonical_sha256":"12c52c0eaa83ec0d104a593e82b7b76ecb01b8b0d6d868f2b5cfa69ccb367c67","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12c52c0eaa83ec0d104a593e82b7b76ecb01b8b0d6d868f2b5cfa69ccb367c67","first_computed_at":"2026-07-05T06:16:39.113851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:16:39.113851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+pHMJ4/t800zy0SUe+cH0fw9TsfuJD7y0OMjOxs46Pd2WVAn1MmmOUPNUXlkrHGSP6b4ohGxRCMLydrTbjTCDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:16:39.114261Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.01183","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b546f7435949c3a0242a37f038176a985d535ee19d25c93562ac430bc3955877","sha256:1f23cdf346968755334765d0da8c37ced2e9dbea4ea97e2919839899b2b3db8b"],"state_sha256":"b57246585e67f9d3a6cdfc13b4c13dbfedc6a22658ce65506406582ae034a602"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jG4+CbjxoT4UARMxoHr11SyAQIx33CRslLj1Bh2EquO3HxiQkSscDgLHFPcOuu/m47oOsWyCnN56Y9a5dfj2BA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T05:37:39.082226Z","bundle_sha256":"912ee063aea6397b2fcce3d962e0e549b5a59323bf0e67d3b346d684e38b72ad"}}