{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:OMTTSFUSKW4F5PYS5QUBJOJA7I","short_pith_number":"pith:OMTTSFUS","canonical_record":{"source":{"id":"2508.06800","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-09T03:10:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4806381cb79c246a0151e544263f9a2b0c7a3ab5d302b74918c002cede4717f9","abstract_canon_sha256":"c20ebc03d49d1c3826fc21c8abf8c2c503b7930987ac5828bb9692efac01ca37"},"schema_version":"1.0"},"canonical_sha256":"732739169255b85ebf12ec2814b920fa1a5bd6df761df7b5799e260eee25e002","source":{"kind":"arxiv","id":"2508.06800","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06800","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06800v2","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06800","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_12","alias_value":"OMTTSFUSKW4F","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_16","alias_value":"OMTTSFUSKW4F5PYS","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_8","alias_value":"OMTTSFUS","created_at":"2026-07-05T11:53:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:OMTTSFUSKW4F5PYS5QUBJOJA7I","target":"record","payload":{"canonical_record":{"source":{"id":"2508.06800","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-09T03:10:56Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4806381cb79c246a0151e544263f9a2b0c7a3ab5d302b74918c002cede4717f9","abstract_canon_sha256":"c20ebc03d49d1c3826fc21c8abf8c2c503b7930987ac5828bb9692efac01ca37"},"schema_version":"1.0"},"canonical_sha256":"732739169255b85ebf12ec2814b920fa1a5bd6df761df7b5799e260eee25e002","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:53:50.395481Z","signature_b64":"Dy4IPhAuCUsHvachFtW+qenp1tcbmdwHrrHnPADck6l6gp7jlhd34MjTRkJ/IwT2Gt08/oG2KxKe5SBjHpsLCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"732739169255b85ebf12ec2814b920fa1a5bd6df761df7b5799e260eee25e002","last_reissued_at":"2026-07-05T11:53:50.394996Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:53:50.394996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.06800","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":"2026-07-05T11:53:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rMeVPEQCBbfgoa5p1TnwOjQIaj2EzN1fQF4HqeizmCliLHs/k0N7nMHZ6+bOlYJ0Ln2V4jbp+jMDvMsL/3GWDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:48:53.811884Z"},"content_sha256":"24e5b5616c00fb4cff2fdffffb97528bcfb5c487af4f0c266fa487c2be984762","schema_version":"1.0","event_id":"sha256:24e5b5616c00fb4cff2fdffffb97528bcfb5c487af4f0c266fa487c2be984762"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:OMTTSFUSKW4F5PYS5QUBJOJA7I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hardness-Aware Dynamic Curriculum Learning for Robust Multimodal Emotion Recognition with Missing Modalities","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Haolin Zuo, Hongyu Yuan, Qi Fan, Rui Liu, Zheng Lian","submitted_at":"2025-08-09T03:10:56Z","abstract_excerpt":"Missing modalities have recently emerged as a critical research direction in multimodal emotion recognition (MER). Conventional approaches typically address this issue through missing modality reconstruction. However, these methods fail to account for variations in reconstruction difficulty across different samples, consequently limiting the model's ability to handle hard samples effectively. To overcome this limitation, we propose a novel Hardness-Aware Dynamic Curriculum Learning framework, termed HARDY-MER. Our framework operates in two key stages: first, it estimates the hardness level of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06800","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/2508.06800/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":"2026-07-05T11:53:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bTSK3C6/KPdAQRiWThmH/3EMqo0lG25gNJ5qczLfGPL41OQHdB6cpMuYueDw77ctsls3IuF9Th6FeSIn5AuQAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T11:48:53.812769Z"},"content_sha256":"cadad5cbd657b1a69c71401a9d070cc42c6c3cf770f8835e10ceb409293c4bba","schema_version":"1.0","event_id":"sha256:cadad5cbd657b1a69c71401a9d070cc42c6c3cf770f8835e10ceb409293c4bba"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I/bundle.json","state_url":"https://pith.science/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I/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":"2026-08-05T11:48:53Z","links":{"resolver":"https://pith.science/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I","bundle":"https://pith.science/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I/bundle.json","state":"https://pith.science/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OMTTSFUSKW4F5PYS5QUBJOJA7I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:OMTTSFUSKW4F5PYS5QUBJOJA7I","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":"c20ebc03d49d1c3826fc21c8abf8c2c503b7930987ac5828bb9692efac01ca37","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-09T03:10:56Z","title_canon_sha256":"4806381cb79c246a0151e544263f9a2b0c7a3ab5d302b74918c002cede4717f9"},"schema_version":"1.0","source":{"id":"2508.06800","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.06800","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"arxiv_version","alias_value":"2508.06800v2","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.06800","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_12","alias_value":"OMTTSFUSKW4F","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_16","alias_value":"OMTTSFUSKW4F5PYS","created_at":"2026-07-05T11:53:50Z"},{"alias_kind":"pith_short_8","alias_value":"OMTTSFUS","created_at":"2026-07-05T11:53:50Z"}],"graph_snapshots":[{"event_id":"sha256:cadad5cbd657b1a69c71401a9d070cc42c6c3cf770f8835e10ceb409293c4bba","target":"graph","created_at":"2026-07-05T11:53:50Z","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/2508.06800/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Missing modalities have recently emerged as a critical research direction in multimodal emotion recognition (MER). Conventional approaches typically address this issue through missing modality reconstruction. However, these methods fail to account for variations in reconstruction difficulty across different samples, consequently limiting the model's ability to handle hard samples effectively. To overcome this limitation, we propose a novel Hardness-Aware Dynamic Curriculum Learning framework, termed HARDY-MER. Our framework operates in two key stages: first, it estimates the hardness level of ","authors_text":"Haolin Zuo, Hongyu Yuan, Qi Fan, Rui Liu, Zheng Lian","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-09T03:10:56Z","title":"Hardness-Aware Dynamic Curriculum Learning for Robust Multimodal Emotion Recognition with Missing Modalities"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.06800","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":"sha256:24e5b5616c00fb4cff2fdffffb97528bcfb5c487af4f0c266fa487c2be984762","target":"record","created_at":"2026-07-05T11:53:50Z","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":"c20ebc03d49d1c3826fc21c8abf8c2c503b7930987ac5828bb9692efac01ca37","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.LG","submitted_at":"2025-08-09T03:10:56Z","title_canon_sha256":"4806381cb79c246a0151e544263f9a2b0c7a3ab5d302b74918c002cede4717f9"},"schema_version":"1.0","source":{"id":"2508.06800","kind":"arxiv","version":2}},"canonical_sha256":"732739169255b85ebf12ec2814b920fa1a5bd6df761df7b5799e260eee25e002","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"732739169255b85ebf12ec2814b920fa1a5bd6df761df7b5799e260eee25e002","first_computed_at":"2026-07-05T11:53:50.394996Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:53:50.394996Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Dy4IPhAuCUsHvachFtW+qenp1tcbmdwHrrHnPADck6l6gp7jlhd34MjTRkJ/IwT2Gt08/oG2KxKe5SBjHpsLCA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:53:50.395481Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.06800","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:24e5b5616c00fb4cff2fdffffb97528bcfb5c487af4f0c266fa487c2be984762","sha256:cadad5cbd657b1a69c71401a9d070cc42c6c3cf770f8835e10ceb409293c4bba"],"state_sha256":"65913a381d1cb9541cfac81b25af15b024847058a829f66abe6fe9223115b68e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ECrPqac0USTryKuoTC49qcHCi0BIKKQJWkYqO+T0VDKdXAKVITVOnYW8vmPS5IMVLCYY7KQ8oPxObKdviD6FCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T11:48:53.818545Z","bundle_sha256":"dd99545e2e6b02eee85a7805ca7b7d3138936061eac83b113ab8e449c789ea1c"}}