{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:P57ONOTUVIOTYI2JQ2LA4NRMCX","short_pith_number":"pith:P57ONOTU","canonical_record":{"source":{"id":"2505.17119","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T16:30:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3d4512add5ed0991f5fdac8065c3f94df06ff4f0e56b46105afc5395bd2ab491","abstract_canon_sha256":"845fc5bbf5e35601059599571847f338581f193c1eef93655217fdd22ffb6993"},"schema_version":"1.0"},"canonical_sha256":"7f7ee6ba74aa1d3c234986960e362c15c89df4b79cfc1e63014ab6706c8ac271","source":{"kind":"arxiv","id":"2505.17119","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17119","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17119v1","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17119","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_12","alias_value":"P57ONOTUVIOT","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_16","alias_value":"P57ONOTUVIOTYI2J","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_8","alias_value":"P57ONOTU","created_at":"2026-07-05T11:07:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:P57ONOTUVIOTYI2JQ2LA4NRMCX","target":"record","payload":{"canonical_record":{"source":{"id":"2505.17119","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T16:30:50Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"3d4512add5ed0991f5fdac8065c3f94df06ff4f0e56b46105afc5395bd2ab491","abstract_canon_sha256":"845fc5bbf5e35601059599571847f338581f193c1eef93655217fdd22ffb6993"},"schema_version":"1.0"},"canonical_sha256":"7f7ee6ba74aa1d3c234986960e362c15c89df4b79cfc1e63014ab6706c8ac271","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:07:47.399988Z","signature_b64":"LCHpKudmq87lUKCBl6kRtzAM6a9cMRe1J1uyEpOfQB5fXMCXcUd7sbwj5K3izOIIRutX/POe0dHVHF3zAA59CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7f7ee6ba74aa1d3c234986960e362c15c89df4b79cfc1e63014ab6706c8ac271","last_reissued_at":"2026-07-05T11:07:47.399447Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:07:47.399447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.17119","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":"2026-07-05T11:07:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bkMHldJREMEYQGXt4vhd8kIDsvW3mXMMahKquhnP991uSvRcTfLnphCW+Fs/3pXunUt9kAnEURluZx2pEUdcDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:19:03.233113Z"},"content_sha256":"343dda29c0919fb30b2a65d2ad01eb5163744e0944d9f31c72661d1b95233f2c","schema_version":"1.0","event_id":"sha256:343dda29c0919fb30b2a65d2ad01eb5163744e0944d9f31c72661d1b95233f2c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:P57ONOTUVIOTYI2JQ2LA4NRMCX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Chenhan Wang, K.P. Subbalakshmi, Xin Wang, Zhanyang Liu, Zongru Shao","submitted_at":"2025-05-21T16:30:50Z","abstract_excerpt":"Recent research leverages large language models (LLMs) for early mental health detection, such as depression, often optimized with machine-generated data. However, their detection may be subject to unknown weaknesses. Meanwhile, quality control has not been applied to these generated corpora besides limited human verifications. Our goal is to systematically evaluate LLM reasoning and reveal potential weaknesses. To this end, we first provide a systematic evaluation of the reasoning over machine-generated detection and interpretation. Then we use the models' reasoning abilities to explore mitig"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17119","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/2505.17119/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":"2026-07-05T11:07:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MtZfI1ImcWt8pXpq1m7g4wGx4Zmtumu/D7rWIgoLDoiMHiFYCegbYr1QkcKyzsODQjtakkovVy6ToDA5JxFKCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:19:03.233674Z"},"content_sha256":"d8bc9e77171f5b627d995dcfd99b494eb0d6e9f9677f5e3477c192f09629429b","schema_version":"1.0","event_id":"sha256:d8bc9e77171f5b627d995dcfd99b494eb0d6e9f9677f5e3477c192f09629429b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX/bundle.json","state_url":"https://pith.science/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX/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":"2026-08-08T19:19:03Z","links":{"resolver":"https://pith.science/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX","bundle":"https://pith.science/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX/bundle.json","state":"https://pith.science/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/P57ONOTUVIOTYI2JQ2LA4NRMCX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:P57ONOTUVIOTYI2JQ2LA4NRMCX","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":"845fc5bbf5e35601059599571847f338581f193c1eef93655217fdd22ffb6993","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T16:30:50Z","title_canon_sha256":"3d4512add5ed0991f5fdac8065c3f94df06ff4f0e56b46105afc5395bd2ab491"},"schema_version":"1.0","source":{"id":"2505.17119","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17119","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17119v1","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17119","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_12","alias_value":"P57ONOTUVIOT","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_16","alias_value":"P57ONOTUVIOTYI2J","created_at":"2026-07-05T11:07:47Z"},{"alias_kind":"pith_short_8","alias_value":"P57ONOTU","created_at":"2026-07-05T11:07:47Z"}],"graph_snapshots":[{"event_id":"sha256:d8bc9e77171f5b627d995dcfd99b494eb0d6e9f9677f5e3477c192f09629429b","target":"graph","created_at":"2026-07-05T11:07:47Z","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/2505.17119/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent research leverages large language models (LLMs) for early mental health detection, such as depression, often optimized with machine-generated data. However, their detection may be subject to unknown weaknesses. Meanwhile, quality control has not been applied to these generated corpora besides limited human verifications. Our goal is to systematically evaluate LLM reasoning and reveal potential weaknesses. To this end, we first provide a systematic evaluation of the reasoning over machine-generated detection and interpretation. Then we use the models' reasoning abilities to explore mitig","authors_text":"Chenhan Wang, K.P. Subbalakshmi, Xin Wang, Zhanyang Liu, Zongru Shao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T16:30:50Z","title":"Systematic Evaluation of Machine-Generated Reasoning and PHQ-9 Labeling for Depression Detection Using Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17119","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":"sha256:343dda29c0919fb30b2a65d2ad01eb5163744e0944d9f31c72661d1b95233f2c","target":"record","created_at":"2026-07-05T11:07:47Z","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":"845fc5bbf5e35601059599571847f338581f193c1eef93655217fdd22ffb6993","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T16:30:50Z","title_canon_sha256":"3d4512add5ed0991f5fdac8065c3f94df06ff4f0e56b46105afc5395bd2ab491"},"schema_version":"1.0","source":{"id":"2505.17119","kind":"arxiv","version":1}},"canonical_sha256":"7f7ee6ba74aa1d3c234986960e362c15c89df4b79cfc1e63014ab6706c8ac271","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7f7ee6ba74aa1d3c234986960e362c15c89df4b79cfc1e63014ab6706c8ac271","first_computed_at":"2026-07-05T11:07:47.399447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:07:47.399447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LCHpKudmq87lUKCBl6kRtzAM6a9cMRe1J1uyEpOfQB5fXMCXcUd7sbwj5K3izOIIRutX/POe0dHVHF3zAA59CQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:07:47.399988Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17119","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:343dda29c0919fb30b2a65d2ad01eb5163744e0944d9f31c72661d1b95233f2c","sha256:d8bc9e77171f5b627d995dcfd99b494eb0d6e9f9677f5e3477c192f09629429b"],"state_sha256":"436ba08fc290749ea2f4ef63dde5b570391f2c93633778aa224f72dd5e06d109"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GnuzUdguaMwxWMYdrxfpY4yttmdptB68v4db2R4A7IohBdSUhNtQDyCX1YKnJ2j7jPnKM5ZRokQr7c/JED9VCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:19:03.238135Z","bundle_sha256":"41eb24ee9f0cda247d560e7cf7ea607172e7f09b61cf328ff4a725045c23f181"}}