{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QXWOPCSVQTV5DNB4TR63EUKXRG","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":"4c4338b47c2b463bd065c696775c5f5250f543bcc829436cae0c1151092dab21","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-04-24T22:24:14Z","title_canon_sha256":"f66350b4f8367360d3dd9bdf0e6778ea6c9fffa96edc00fd82e831ac83bfd810"},"schema_version":"1.0","source":{"id":"2504.17964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.17964","created_at":"2026-07-05T10:53:59Z"},{"alias_kind":"arxiv_version","alias_value":"2504.17964v1","created_at":"2026-07-05T10:53:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.17964","created_at":"2026-07-05T10:53:59Z"},{"alias_kind":"pith_short_12","alias_value":"QXWOPCSVQTV5","created_at":"2026-07-05T10:53:59Z"},{"alias_kind":"pith_short_16","alias_value":"QXWOPCSVQTV5DNB4","created_at":"2026-07-05T10:53:59Z"},{"alias_kind":"pith_short_8","alias_value":"QXWOPCSV","created_at":"2026-07-05T10:53:59Z"}],"graph_snapshots":[{"event_id":"sha256:870c9e0ed343d5555901bc4bd66fa1d0cf7d3f5f40aead9ecc8a532815e5a2ef","target":"graph","created_at":"2026-07-05T10:53:59Z","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/2504.17964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper examines how graduate students develop frameworks for evaluating machine-generated expertise in web-based interactions with large language models (LLMs). Through a qualitative study combining surveys, LLM interaction transcripts, and in-depth interviews with 14 graduate students, we identify patterns in how these emerging professionals assess and engage with AI-generated content. Our findings reveal that students construct evaluation frameworks shaped by three main factors: professional identity, verification capabilities, and system navigation experience. Rather than uniformly acce","authors_text":"Alex Leitch, Celia Chen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-04-24T22:24:14Z","title":"Evaluating Machine Expertise: How Graduate Students Develop Frameworks for Assessing GenAI Content"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.17964","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":"sha256:0c7f6642562b93cab9973a3f68d3a3e7d33caa8e0a2b38619513f871c8896c0c","target":"record","created_at":"2026-07-05T10:53:59Z","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":"4c4338b47c2b463bd065c696775c5f5250f543bcc829436cae0c1151092dab21","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.HC","submitted_at":"2025-04-24T22:24:14Z","title_canon_sha256":"f66350b4f8367360d3dd9bdf0e6778ea6c9fffa96edc00fd82e831ac83bfd810"},"schema_version":"1.0","source":{"id":"2504.17964","kind":"arxiv","version":1}},"canonical_sha256":"85ece78a5584ebd1b43c9c7db251578988d320a61108487589df1fa104014d20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"85ece78a5584ebd1b43c9c7db251578988d320a61108487589df1fa104014d20","first_computed_at":"2026-07-05T10:53:59.484036Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:53:59.484036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hk+jTqhwHHpavCxKom8B4rwMqQPiOEpancrhK5oVorcAlOBaMe8t4dqC4gTPAs7zlPHKtejABiC8099SsZDEBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:53:59.484517Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.17964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c7f6642562b93cab9973a3f68d3a3e7d33caa8e0a2b38619513f871c8896c0c","sha256:870c9e0ed343d5555901bc4bd66fa1d0cf7d3f5f40aead9ecc8a532815e5a2ef"],"state_sha256":"0e679d501664920f85b4223ab9dd60ae727afecf913467e4ea8561abc79ce090"}