{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:FZMKO262GWEMPIPVERQ2OUFREZ","short_pith_number":"pith:FZMKO262","canonical_record":{"source":{"id":"2403.07581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-12T12:10:18Z","cross_cats_sorted":[],"title_canon_sha256":"6a7d1df1f89bd3dc4fb7bbfd0e03e1e8e9a08f0d172731638134065b1793b6fa","abstract_canon_sha256":"d13ae560e83da3406979758a902a1bc01da0fe6b7d40974d83f966ade499d788"},"schema_version":"1.0"},"canonical_sha256":"2e58a76bda3588c7a1f52461a750b12643be992d78f469f57706353db8f3338c","source":{"kind":"arxiv","id":"2403.07581","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07581","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07581v1","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07581","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"FZMKO262GWEM","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"pith_short_16","alias_value":"FZMKO262GWEMPIPV","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"pith_short_8","alias_value":"FZMKO262","created_at":"2026-07-05T07:55:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:FZMKO262GWEMPIPVERQ2OUFREZ","target":"record","payload":{"canonical_record":{"source":{"id":"2403.07581","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-12T12:10:18Z","cross_cats_sorted":[],"title_canon_sha256":"6a7d1df1f89bd3dc4fb7bbfd0e03e1e8e9a08f0d172731638134065b1793b6fa","abstract_canon_sha256":"d13ae560e83da3406979758a902a1bc01da0fe6b7d40974d83f966ade499d788"},"schema_version":"1.0"},"canonical_sha256":"2e58a76bda3588c7a1f52461a750b12643be992d78f469f57706353db8f3338c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:55:05.560281Z","signature_b64":"Wr/DmTEtXX/qDi5gfVO5N0iG8e5ZMPdqimUZXitX0GiiAo45fOEWhAnZ2tFWbpRQrxalFNOSk2zw/Z0aBOFbBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2e58a76bda3588c7a1f52461a750b12643be992d78f469f57706353db8f3338c","last_reissued_at":"2026-07-05T07:55:05.559903Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:55:05.559903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2403.07581","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":"2026-07-05T07:55:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Cy6wfQCz012woSp1oNzuA66ax5fPBB/3x1/g/FOcNbbbBZZzsgl7jsmKRpHC7ZkbB8fbf2YQuCbZQdXOWS70Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:47:08.700586Z"},"content_sha256":"066d2ed6ae1eb7bb1e6483be3e000c751349a02de850d7e94aeba67ee7d04bea","schema_version":"1.0","event_id":"sha256:066d2ed6ae1eb7bb1e6483be3e000c751349a02de850d7e94aeba67ee7d04bea"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:FZMKO262GWEMPIPVERQ2OUFREZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Duokang Wang, Hongyu He, Linmei Hu, Liqiang Nie, Yingxia Shao, Ziwang Zhao","submitted_at":"2024-03-12T12:10:18Z","abstract_excerpt":"Personality detection aims to detect one's personality traits underlying in social media posts. One challenge of this task is the scarcity of ground-truth personality traits which are collected from self-report questionnaires. Most existing methods learn post features directly by fine-tuning the pre-trained language models under the supervision of limited personality labels. This leads to inferior quality of post features and consequently affects the performance. In addition, they treat personality traits as one-hot classification labels, overlooking the semantic information within them. In th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07581","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/2403.07581/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":"2026-07-05T07:55:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NucVC2C52CdHmzNlkIKcKzktdCSOd8DrwWnxj59FKRn3eLA5GTp6ycRiDmOIej76PzPFAncTsSsG1qCWbIbIDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T15:47:08.700958Z"},"content_sha256":"7c57198dd9f33ec35a4a4fcfa89231002de141e79a7d9eb7b35d636cd884d1df","schema_version":"1.0","event_id":"sha256:7c57198dd9f33ec35a4a4fcfa89231002de141e79a7d9eb7b35d636cd884d1df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FZMKO262GWEMPIPVERQ2OUFREZ/bundle.json","state_url":"https://pith.science/pith/FZMKO262GWEMPIPVERQ2OUFREZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FZMKO262GWEMPIPVERQ2OUFREZ/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":"2026-07-07T15:47:08Z","links":{"resolver":"https://pith.science/pith/FZMKO262GWEMPIPVERQ2OUFREZ","bundle":"https://pith.science/pith/FZMKO262GWEMPIPVERQ2OUFREZ/bundle.json","state":"https://pith.science/pith/FZMKO262GWEMPIPVERQ2OUFREZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FZMKO262GWEMPIPVERQ2OUFREZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FZMKO262GWEMPIPVERQ2OUFREZ","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":"d13ae560e83da3406979758a902a1bc01da0fe6b7d40974d83f966ade499d788","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-12T12:10:18Z","title_canon_sha256":"6a7d1df1f89bd3dc4fb7bbfd0e03e1e8e9a08f0d172731638134065b1793b6fa"},"schema_version":"1.0","source":{"id":"2403.07581","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.07581","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"arxiv_version","alias_value":"2403.07581v1","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.07581","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"pith_short_12","alias_value":"FZMKO262GWEM","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"pith_short_16","alias_value":"FZMKO262GWEMPIPV","created_at":"2026-07-05T07:55:05Z"},{"alias_kind":"pith_short_8","alias_value":"FZMKO262","created_at":"2026-07-05T07:55:05Z"}],"graph_snapshots":[{"event_id":"sha256:7c57198dd9f33ec35a4a4fcfa89231002de141e79a7d9eb7b35d636cd884d1df","target":"graph","created_at":"2026-07-05T07:55:05Z","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/2403.07581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Personality detection aims to detect one's personality traits underlying in social media posts. One challenge of this task is the scarcity of ground-truth personality traits which are collected from self-report questionnaires. Most existing methods learn post features directly by fine-tuning the pre-trained language models under the supervision of limited personality labels. This leads to inferior quality of post features and consequently affects the performance. In addition, they treat personality traits as one-hot classification labels, overlooking the semantic information within them. In th","authors_text":"Duokang Wang, Hongyu He, Linmei Hu, Liqiang Nie, Yingxia Shao, Ziwang Zhao","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-12T12:10:18Z","title":"LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.07581","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":"sha256:066d2ed6ae1eb7bb1e6483be3e000c751349a02de850d7e94aeba67ee7d04bea","target":"record","created_at":"2026-07-05T07:55:05Z","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":"d13ae560e83da3406979758a902a1bc01da0fe6b7d40974d83f966ade499d788","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-03-12T12:10:18Z","title_canon_sha256":"6a7d1df1f89bd3dc4fb7bbfd0e03e1e8e9a08f0d172731638134065b1793b6fa"},"schema_version":"1.0","source":{"id":"2403.07581","kind":"arxiv","version":1}},"canonical_sha256":"2e58a76bda3588c7a1f52461a750b12643be992d78f469f57706353db8f3338c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2e58a76bda3588c7a1f52461a750b12643be992d78f469f57706353db8f3338c","first_computed_at":"2026-07-05T07:55:05.559903Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:55:05.559903Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wr/DmTEtXX/qDi5gfVO5N0iG8e5ZMPdqimUZXitX0GiiAo45fOEWhAnZ2tFWbpRQrxalFNOSk2zw/Z0aBOFbBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:55:05.560281Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.07581","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:066d2ed6ae1eb7bb1e6483be3e000c751349a02de850d7e94aeba67ee7d04bea","sha256:7c57198dd9f33ec35a4a4fcfa89231002de141e79a7d9eb7b35d636cd884d1df"],"state_sha256":"762963b057b88c78c86df3cf91b05fd718813a5e08b074b6b56b9274e2cacddb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o5SOLqLAbn7WNAWwJ7KuXWuKaeOFa7O7nlYSVrom1188SmZqprH7EfTJ74l9L0BXeZFUTXUlZ4oGvBzw5DGBCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T15:47:08.703204Z","bundle_sha256":"08cd56736d115237eb0464ae84685400552b2c2b01df6eeee639873440a9bb7f"}}