{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:F4XXZHHE6VNUQNP5IIMUEM6SHN","short_pith_number":"pith:F4XXZHHE","canonical_record":{"source":{"id":"2407.12825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T13:13:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4f3d0dcfc36025eaf04b2097de1a7e6f35f53c518d1d8d13977250838ffcb138","abstract_canon_sha256":"d35e01f36b16fa3a7e6031eb3b7f17417a769df86f83fbdb256c6a440a1dc025"},"schema_version":"1.0"},"canonical_sha256":"2f2f7c9ce4f55b4835fd42194233d23b7ea168e90fc04de48cdcccf0e1aabafc","source":{"kind":"arxiv","id":"2407.12825","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12825","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12825v1","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12825","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"pith_short_12","alias_value":"F4XXZHHE6VNU","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"pith_short_16","alias_value":"F4XXZHHE6VNUQNP5","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"pith_short_8","alias_value":"F4XXZHHE","created_at":"2026-07-05T08:45:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:F4XXZHHE6VNUQNP5IIMUEM6SHN","target":"record","payload":{"canonical_record":{"source":{"id":"2407.12825","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T13:13:35Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"4f3d0dcfc36025eaf04b2097de1a7e6f35f53c518d1d8d13977250838ffcb138","abstract_canon_sha256":"d35e01f36b16fa3a7e6031eb3b7f17417a769df86f83fbdb256c6a440a1dc025"},"schema_version":"1.0"},"canonical_sha256":"2f2f7c9ce4f55b4835fd42194233d23b7ea168e90fc04de48cdcccf0e1aabafc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:45:12.227242Z","signature_b64":"Z55ymUt7cq9m07t0gOFoERqksoHzDUZoc0e7ChozAkgaxnShF4IFMCCZMgINkzNqBT0XCRkr7F6A1Whk11JeDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2f2f7c9ce4f55b4835fd42194233d23b7ea168e90fc04de48cdcccf0e1aabafc","last_reissued_at":"2026-07-05T08:45:12.226787Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:45:12.226787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2407.12825","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":"2026-07-05T08:45:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pLTIfBTucLmn4su2ZqNNbT8tVqq6Y28gpqYJ3gnDQh1L4uV51j8eeaF6rWfWrshmN0dZYWQDv4o2kEfsEgsPBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:14:04.838949Z"},"content_sha256":"4c4018528952b619cb131173e152d677ad112d5778679ec6d03f3fabe5c991d5","schema_version":"1.0","event_id":"sha256:4c4018528952b619cb131173e152d677ad112d5778679ec6d03f3fabe5c991d5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:F4XXZHHE6VNUQNP5IIMUEM6SHN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Shengjie Li, Yinhao Xiao","submitted_at":"2024-07-02T13:13:35Z","abstract_excerpt":"Depression, a prevalent and serious mental health issue, affects approximately 3.8\\% of the global population. Despite the existence of effective treatments, over 75\\% of individuals in low- and middle-income countries remain untreated, partly due to the challenge in accurately diagnosing depression in its early stages. This paper introduces a novel method for detecting depression based on multi-modal feature fusion utilizing cross-attention. By employing MacBERT as a pre-training model to extract lexical features from text and incorporating an additional Transformer module to refine task-spec"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12825","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/2407.12825/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":"2026-07-05T08:45:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7dwfVnPRfT+PYwVdpNG9KzYiyHHrQe8PiK8RC1bZE08HxV1meVxThgV7NTov0PVnGxXj90mrfUEztk0hjraICQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:14:04.839473Z"},"content_sha256":"bf75a2876107ed96d848fce713c844742014d9f359e7dcc17b77c70a746a3139","schema_version":"1.0","event_id":"sha256:bf75a2876107ed96d848fce713c844742014d9f359e7dcc17b77c70a746a3139"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN/bundle.json","state_url":"https://pith.science/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN/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":"2026-08-18T22:14:04Z","links":{"resolver":"https://pith.science/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN","bundle":"https://pith.science/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN/bundle.json","state":"https://pith.science/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F4XXZHHE6VNUQNP5IIMUEM6SHN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F4XXZHHE6VNUQNP5IIMUEM6SHN","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":"d35e01f36b16fa3a7e6031eb3b7f17417a769df86f83fbdb256c6a440a1dc025","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T13:13:35Z","title_canon_sha256":"4f3d0dcfc36025eaf04b2097de1a7e6f35f53c518d1d8d13977250838ffcb138"},"schema_version":"1.0","source":{"id":"2407.12825","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.12825","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"arxiv_version","alias_value":"2407.12825v1","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.12825","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"pith_short_12","alias_value":"F4XXZHHE6VNU","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"pith_short_16","alias_value":"F4XXZHHE6VNUQNP5","created_at":"2026-07-05T08:45:12Z"},{"alias_kind":"pith_short_8","alias_value":"F4XXZHHE","created_at":"2026-07-05T08:45:12Z"}],"graph_snapshots":[{"event_id":"sha256:bf75a2876107ed96d848fce713c844742014d9f359e7dcc17b77c70a746a3139","target":"graph","created_at":"2026-07-05T08:45:12Z","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/2407.12825/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Depression, a prevalent and serious mental health issue, affects approximately 3.8\\% of the global population. Despite the existence of effective treatments, over 75\\% of individuals in low- and middle-income countries remain untreated, partly due to the challenge in accurately diagnosing depression in its early stages. This paper introduces a novel method for detecting depression based on multi-modal feature fusion utilizing cross-attention. By employing MacBERT as a pre-training model to extract lexical features from text and incorporating an additional Transformer module to refine task-spec","authors_text":"Shengjie Li, Yinhao Xiao","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T13:13:35Z","title":"A Depression Detection Method Based on Multi-Modal Feature Fusion Using Cross-Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.12825","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":"sha256:4c4018528952b619cb131173e152d677ad112d5778679ec6d03f3fabe5c991d5","target":"record","created_at":"2026-07-05T08:45:12Z","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":"d35e01f36b16fa3a7e6031eb3b7f17417a769df86f83fbdb256c6a440a1dc025","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-07-02T13:13:35Z","title_canon_sha256":"4f3d0dcfc36025eaf04b2097de1a7e6f35f53c518d1d8d13977250838ffcb138"},"schema_version":"1.0","source":{"id":"2407.12825","kind":"arxiv","version":1}},"canonical_sha256":"2f2f7c9ce4f55b4835fd42194233d23b7ea168e90fc04de48cdcccf0e1aabafc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2f2f7c9ce4f55b4835fd42194233d23b7ea168e90fc04de48cdcccf0e1aabafc","first_computed_at":"2026-07-05T08:45:12.226787Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:45:12.226787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Z55ymUt7cq9m07t0gOFoERqksoHzDUZoc0e7ChozAkgaxnShF4IFMCCZMgINkzNqBT0XCRkr7F6A1Whk11JeDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:45:12.227242Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.12825","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c4018528952b619cb131173e152d677ad112d5778679ec6d03f3fabe5c991d5","sha256:bf75a2876107ed96d848fce713c844742014d9f359e7dcc17b77c70a746a3139"],"state_sha256":"f37a1b9bf8449efdad1adbdc1db8f9eac05c13ebf4e865d02de9b876f2084b60"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GlV51C31spqfg6+k0AwsvbD76b7O09TfDyYIQ6K5OXvwqeg67PG6wqDlcjnOmO65F4smfyWng/mePpIQCt/4Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:14:04.844542Z","bundle_sha256":"2d310ae5f7ff5b1c91a56b8d6072fce668da69901ff7023f85b660dcd5e3835b"}}