{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LFTLVW5HDHTZV34BSNDZACNRHZ","short_pith_number":"pith:LFTLVW5H","canonical_record":{"source":{"id":"2501.09265","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T03:30:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d8e5b6b7de764d0b6d30d2bacc74478ed6d16132cdca7225759ac4855a433a1b","abstract_canon_sha256":"9717b4062b8155569b0e81f3ae42dd97b4b86258087cc47d2079256d54ff7b79"},"schema_version":"1.0"},"canonical_sha256":"5966badba719e79aef8193479009b13e473ae6c28324119b81adde26eb4b9b28","source":{"kind":"arxiv","id":"2501.09265","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09265","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09265v2","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09265","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"pith_short_12","alias_value":"LFTLVW5HDHTZ","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"pith_short_16","alias_value":"LFTLVW5HDHTZV34B","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"pith_short_8","alias_value":"LFTLVW5H","created_at":"2026-07-05T11:23:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LFTLVW5HDHTZV34BSNDZACNRHZ","target":"record","payload":{"canonical_record":{"source":{"id":"2501.09265","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T03:30:47Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d8e5b6b7de764d0b6d30d2bacc74478ed6d16132cdca7225759ac4855a433a1b","abstract_canon_sha256":"9717b4062b8155569b0e81f3ae42dd97b4b86258087cc47d2079256d54ff7b79"},"schema_version":"1.0"},"canonical_sha256":"5966badba719e79aef8193479009b13e473ae6c28324119b81adde26eb4b9b28","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:23:22.334626Z","signature_b64":"x/bOoZNGtCUWIqqr7W+p5EZg8wAKqvVZIrZ854I88r2OOg7RVdtzoI+idGBuJnvJVD3NukxbJuhKoRLpyn1eDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5966badba719e79aef8193479009b13e473ae6c28324119b81adde26eb4b9b28","last_reissued_at":"2026-07-05T11:23:22.334156Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:23:22.334156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.09265","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:23:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KlHOe4iW1tRUkav+6FDsF4MGAEfv9P6dJVkH15UwaWmRNPE8e1nk30nf+plWpivbcb4C4jJWkZbCQT04cNwzDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:33:18.989322Z"},"content_sha256":"434645f9a34524f205626b417074ec111671b79b8c40a644de673969f50eac9a","schema_version":"1.0","event_id":"sha256:434645f9a34524f205626b417074ec111671b79b8c40a644de673969f50eac9a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LFTLVW5HDHTZV34BSNDZACNRHZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Perspective Transition of Large Language Models for Solving Subjective Tasks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Fuwen Luo, Peng Li, Xiaolong Wang, Yang Liu, Yile Wang, Yuanchi Zhang, Yuzhuang Xu, Ziyue Wang","submitted_at":"2025-01-16T03:30:47Z","abstract_excerpt":"Large language models (LLMs) have revolutionized the field of natural language processing, enabling remarkable progress in various tasks. Different from objective tasks such as commonsense reasoning and arithmetic question-answering, the performance of LLMs on subjective tasks is still limited, where the perspective on the specific problem plays crucial roles for better interpreting the context and giving proper response. For example, in certain scenarios, LLMs may perform better when answering from an expert role perspective, potentially eliciting their relevant domain knowledge. In contrast,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09265","kind":"arxiv","version":2},"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/2501.09265/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":"2026-07-05T11:23:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BPrpJTYWzUqC/3rGmradYlDcpV3p/AqiFpDkoT81hietNjhA1MGEOSvXtmmFFEBbyl2jAyJLKBNICRYKXKkKAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T19:33:18.990346Z"},"content_sha256":"fe2c3f8230abac45f22070a31073bf333286d5745904165890c728b7f9175a9e","schema_version":"1.0","event_id":"sha256:fe2c3f8230abac45f22070a31073bf333286d5745904165890c728b7f9175a9e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LFTLVW5HDHTZV34BSNDZACNRHZ/bundle.json","state_url":"https://pith.science/pith/LFTLVW5HDHTZV34BSNDZACNRHZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LFTLVW5HDHTZV34BSNDZACNRHZ/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":"2026-08-11T19:33:18Z","links":{"resolver":"https://pith.science/pith/LFTLVW5HDHTZV34BSNDZACNRHZ","bundle":"https://pith.science/pith/LFTLVW5HDHTZV34BSNDZACNRHZ/bundle.json","state":"https://pith.science/pith/LFTLVW5HDHTZV34BSNDZACNRHZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LFTLVW5HDHTZV34BSNDZACNRHZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LFTLVW5HDHTZV34BSNDZACNRHZ","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":"9717b4062b8155569b0e81f3ae42dd97b4b86258087cc47d2079256d54ff7b79","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T03:30:47Z","title_canon_sha256":"d8e5b6b7de764d0b6d30d2bacc74478ed6d16132cdca7225759ac4855a433a1b"},"schema_version":"1.0","source":{"id":"2501.09265","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.09265","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"arxiv_version","alias_value":"2501.09265v2","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.09265","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"pith_short_12","alias_value":"LFTLVW5HDHTZ","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"pith_short_16","alias_value":"LFTLVW5HDHTZV34B","created_at":"2026-07-05T11:23:22Z"},{"alias_kind":"pith_short_8","alias_value":"LFTLVW5H","created_at":"2026-07-05T11:23:22Z"}],"graph_snapshots":[{"event_id":"sha256:fe2c3f8230abac45f22070a31073bf333286d5745904165890c728b7f9175a9e","target":"graph","created_at":"2026-07-05T11:23:22Z","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/2501.09265/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have revolutionized the field of natural language processing, enabling remarkable progress in various tasks. Different from objective tasks such as commonsense reasoning and arithmetic question-answering, the performance of LLMs on subjective tasks is still limited, where the perspective on the specific problem plays crucial roles for better interpreting the context and giving proper response. For example, in certain scenarios, LLMs may perform better when answering from an expert role perspective, potentially eliciting their relevant domain knowledge. In contrast,","authors_text":"Fuwen Luo, Peng Li, Xiaolong Wang, Yang Liu, Yile Wang, Yuanchi Zhang, Yuzhuang Xu, Ziyue Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T03:30:47Z","title":"Perspective Transition of Large Language Models for Solving Subjective Tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.09265","kind":"arxiv","version":2},"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":"sha256:434645f9a34524f205626b417074ec111671b79b8c40a644de673969f50eac9a","target":"record","created_at":"2026-07-05T11:23:22Z","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":"9717b4062b8155569b0e81f3ae42dd97b4b86258087cc47d2079256d54ff7b79","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-01-16T03:30:47Z","title_canon_sha256":"d8e5b6b7de764d0b6d30d2bacc74478ed6d16132cdca7225759ac4855a433a1b"},"schema_version":"1.0","source":{"id":"2501.09265","kind":"arxiv","version":2}},"canonical_sha256":"5966badba719e79aef8193479009b13e473ae6c28324119b81adde26eb4b9b28","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5966badba719e79aef8193479009b13e473ae6c28324119b81adde26eb4b9b28","first_computed_at":"2026-07-05T11:23:22.334156Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:23:22.334156Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x/bOoZNGtCUWIqqr7W+p5EZg8wAKqvVZIrZ854I88r2OOg7RVdtzoI+idGBuJnvJVD3NukxbJuhKoRLpyn1eDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:23:22.334626Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.09265","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:434645f9a34524f205626b417074ec111671b79b8c40a644de673969f50eac9a","sha256:fe2c3f8230abac45f22070a31073bf333286d5745904165890c728b7f9175a9e"],"state_sha256":"5c0de047678180f4325082b363d783fd1759879e4f91067c50db828b5cac0a47"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jRrz33qO64jzQDZb3N41DSq0WhoWoxL0Ddk9jKzEEqjpVcJ84sSN/HPLhEEMHaFyT0wk88EHc51oBydIt/9gCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T19:33:18.996266Z","bundle_sha256":"6fd2a5e0ac047f6415b38d2d6cd0f55cf19a24b7646908a8bd459804f3216b9f"}}