{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:Y37LZENQEMF7PADNCJIYWHERHO","short_pith_number":"pith:Y37LZENQ","canonical_record":{"source":{"id":"2410.10323","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:29:27Z","cross_cats_sorted":[],"title_canon_sha256":"8edaeb9af5f7de326f7e44798c351438fd99529dcd34d1336553f8301b8b75eb","abstract_canon_sha256":"a88d41d26a912f62ff81e7f2ffe01b401c8d1c132c9fead07ddc23ded0b2c457"},"schema_version":"1.0"},"canonical_sha256":"c6febc91b0230bf7806d12518b1c913ba3c0d5215807b386f7070d661d62785e","source":{"kind":"arxiv","id":"2410.10323","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10323","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10323v1","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10323","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"Y37LZENQEMF7","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"pith_short_16","alias_value":"Y37LZENQEMF7PADN","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"pith_short_8","alias_value":"Y37LZENQ","created_at":"2026-07-05T09:20:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:Y37LZENQEMF7PADNCJIYWHERHO","target":"record","payload":{"canonical_record":{"source":{"id":"2410.10323","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:29:27Z","cross_cats_sorted":[],"title_canon_sha256":"8edaeb9af5f7de326f7e44798c351438fd99529dcd34d1336553f8301b8b75eb","abstract_canon_sha256":"a88d41d26a912f62ff81e7f2ffe01b401c8d1c132c9fead07ddc23ded0b2c457"},"schema_version":"1.0"},"canonical_sha256":"c6febc91b0230bf7806d12518b1c913ba3c0d5215807b386f7070d661d62785e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:20:14.918696Z","signature_b64":"lCGxdM9N7DmPyB6TLlfRkY5KERgW7J6wnzeow80JijgPQH9STbMiJx2y4mBv4nKndLOggiHgpkqBewD51JmqAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6febc91b0230bf7806d12518b1c913ba3c0d5215807b386f7070d661d62785e","last_reissued_at":"2026-07-05T09:20:14.918299Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:20:14.918299Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.10323","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":"2026-07-05T09:20:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nQXwChWGCSz4v83f2RHYWPlJvwk2v52lW8uTospZvTnU6ZJp/AtwDXes9Bs3nEwu7ywWnnW7QuKg5Ah3D4f/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T13:11:24.142508Z"},"content_sha256":"1d508afd1d995add985d30a04c6ebde6d64f6daff695e2357130f40736f208e8","schema_version":"1.0","event_id":"sha256:1d508afd1d995add985d30a04c6ebde6d64f6daff695e2357130f40736f208e8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:Y37LZENQEMF7PADNCJIYWHERHO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bing Xiang Yang, Fan Wang, Guanghui Fu, Hongzhi Qi, Jianqiang Li, Meng Jiang, Nan Bai, Qing Zhao, Wei Zhai, Xiaoqin Wang","submitted_at":"2024-10-14T09:29:27Z","abstract_excerpt":"As the prevalence of mental health challenges, social media has emerged as a key platform for individuals to express their emotions.Deep learning tends to be a promising solution for analyzing mental health on social media. However, black box models are often inflexible when switching between tasks, and their results typically lack explanations. With the rise of large language models (LLMs), their flexibility has introduced new approaches to the field. Also due to the generative nature, they can be prompted to explain decision-making processes. However, their performance on complex psychologic"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10323","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/2410.10323/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":"2026-07-05T09:20:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U2ovwi+rdYt9yuHyVOiBFd3WIhabk/j1b/YySG3aFQbbRe2sTV4tMvO14DznHnr7WwG0rpxqRfmCtMfxTrT2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T13:11:24.143008Z"},"content_sha256":"4263dd9bfe5e7feff61ddf800019b9704d7cf6337fc03132ea9c4442ddfd7a54","schema_version":"1.0","event_id":"sha256:4263dd9bfe5e7feff61ddf800019b9704d7cf6337fc03132ea9c4442ddfd7a54"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y37LZENQEMF7PADNCJIYWHERHO/bundle.json","state_url":"https://pith.science/pith/Y37LZENQEMF7PADNCJIYWHERHO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y37LZENQEMF7PADNCJIYWHERHO/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":"2026-08-23T13:11:24Z","links":{"resolver":"https://pith.science/pith/Y37LZENQEMF7PADNCJIYWHERHO","bundle":"https://pith.science/pith/Y37LZENQEMF7PADNCJIYWHERHO/bundle.json","state":"https://pith.science/pith/Y37LZENQEMF7PADNCJIYWHERHO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y37LZENQEMF7PADNCJIYWHERHO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Y37LZENQEMF7PADNCJIYWHERHO","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":"a88d41d26a912f62ff81e7f2ffe01b401c8d1c132c9fead07ddc23ded0b2c457","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:29:27Z","title_canon_sha256":"8edaeb9af5f7de326f7e44798c351438fd99529dcd34d1336553f8301b8b75eb"},"schema_version":"1.0","source":{"id":"2410.10323","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.10323","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"arxiv_version","alias_value":"2410.10323v1","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.10323","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"pith_short_12","alias_value":"Y37LZENQEMF7","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"pith_short_16","alias_value":"Y37LZENQEMF7PADN","created_at":"2026-07-05T09:20:14Z"},{"alias_kind":"pith_short_8","alias_value":"Y37LZENQ","created_at":"2026-07-05T09:20:14Z"}],"graph_snapshots":[{"event_id":"sha256:4263dd9bfe5e7feff61ddf800019b9704d7cf6337fc03132ea9c4442ddfd7a54","target":"graph","created_at":"2026-07-05T09:20:14Z","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/2410.10323/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the prevalence of mental health challenges, social media has emerged as a key platform for individuals to express their emotions.Deep learning tends to be a promising solution for analyzing mental health on social media. However, black box models are often inflexible when switching between tasks, and their results typically lack explanations. With the rise of large language models (LLMs), their flexibility has introduced new approaches to the field. Also due to the generative nature, they can be prompted to explain decision-making processes. However, their performance on complex psychologic","authors_text":"Bing Xiang Yang, Fan Wang, Guanghui Fu, Hongzhi Qi, Jianqiang Li, Meng Jiang, Nan Bai, Qing Zhao, Wei Zhai, Xiaoqin Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:29:27Z","title":"MentalGLM Series: Explainable Large Language Models for Mental Health Analysis on Chinese Social Media"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.10323","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":"sha256:1d508afd1d995add985d30a04c6ebde6d64f6daff695e2357130f40736f208e8","target":"record","created_at":"2026-07-05T09:20:14Z","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":"a88d41d26a912f62ff81e7f2ffe01b401c8d1c132c9fead07ddc23ded0b2c457","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-14T09:29:27Z","title_canon_sha256":"8edaeb9af5f7de326f7e44798c351438fd99529dcd34d1336553f8301b8b75eb"},"schema_version":"1.0","source":{"id":"2410.10323","kind":"arxiv","version":1}},"canonical_sha256":"c6febc91b0230bf7806d12518b1c913ba3c0d5215807b386f7070d661d62785e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6febc91b0230bf7806d12518b1c913ba3c0d5215807b386f7070d661d62785e","first_computed_at":"2026-07-05T09:20:14.918299Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:20:14.918299Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lCGxdM9N7DmPyB6TLlfRkY5KERgW7J6wnzeow80JijgPQH9STbMiJx2y4mBv4nKndLOggiHgpkqBewD51JmqAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:20:14.918696Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.10323","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d508afd1d995add985d30a04c6ebde6d64f6daff695e2357130f40736f208e8","sha256:4263dd9bfe5e7feff61ddf800019b9704d7cf6337fc03132ea9c4442ddfd7a54"],"state_sha256":"a7fcc523360918e46d4b8387ca65f3f625ad7a6266e938727450af9826f287b3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GxSYAKJsdbb2KJv2bLkg0ixtuGFyIEyTWwOUAnmgrY/Yx3fK+L0SagToEqwofiUZp3pYhtVuvUaFYic6P8bGCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T13:11:24.148103Z","bundle_sha256":"8657775e64b22e18e082b9234c20086f73bf2ffa1a7bc8cd826fc192a15fdcbc"}}