{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:NQQQUFPWZUH3OU2L4GHMPZPEHU","short_pith_number":"pith:NQQQUFPW","canonical_record":{"source":{"id":"2412.19909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-12-27T20:00:45Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"07f7f1b674ce41ae97d1eef69eb318aec4cd80dc1d312843537702025c97e2e2","abstract_canon_sha256":"b422588f80032fdd441f23aa3d15a465f1253d26b08144acef8850bc9dd06e77"},"schema_version":"1.0"},"canonical_sha256":"6c210a15f6cd0fb7534be18ec7e5e43d38fad6a0193a63bf1bbee966ae93e7e8","source":{"kind":"arxiv","id":"2412.19909","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19909","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19909v1","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19909","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"NQQQUFPWZUH3","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"pith_short_16","alias_value":"NQQQUFPWZUH3OU2L","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"pith_short_8","alias_value":"NQQQUFPW","created_at":"2026-07-05T09:54:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:NQQQUFPWZUH3OU2L4GHMPZPEHU","target":"record","payload":{"canonical_record":{"source":{"id":"2412.19909","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-12-27T20:00:45Z","cross_cats_sorted":["cs.LG","eess.AS"],"title_canon_sha256":"07f7f1b674ce41ae97d1eef69eb318aec4cd80dc1d312843537702025c97e2e2","abstract_canon_sha256":"b422588f80032fdd441f23aa3d15a465f1253d26b08144acef8850bc9dd06e77"},"schema_version":"1.0"},"canonical_sha256":"6c210a15f6cd0fb7534be18ec7e5e43d38fad6a0193a63bf1bbee966ae93e7e8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:54:51.539899Z","signature_b64":"jWyZyZZoahp5Haw1Ayjf7naEEpJ+CwueutqOQttfKGTGWK2AN+nIENLzzl2YMNxTPIQwk4epHKBxA6/Uv3JSBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6c210a15f6cd0fb7534be18ec7e5e43d38fad6a0193a63bf1bbee966ae93e7e8","last_reissued_at":"2026-07-05T09:54:51.539447Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:54:51.539447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.19909","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":"2026-07-05T09:54:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1Y/aa0Mof5VfPS9rtOQAS9+iMptfw/tm0aRSJaxaFcWi2QwJV29xfmrflD2Nb07m0T0SWjO+vNJgHnTbi1lRDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:15:23.436851Z"},"content_sha256":"c9abcfee79222427866c726850bb1a17e66c317e268a03654c49db3c010e26bf","schema_version":"1.0","event_id":"sha256:c9abcfee79222427866c726850bb1a17e66c317e268a03654c49db3c010e26bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:NQQQUFPWZUH3OU2L4GHMPZPEHU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mouth Articulation-Based Anchoring for Improved Cross-Corpus Speech Emotion Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG","eess.AS"],"primary_cat":"cs.SD","authors_text":"Ali N. Salman, Carlos Busso, Chi-Chun Lee, Shreya G. Upadhyay","submitted_at":"2024-12-27T20:00:45Z","abstract_excerpt":"Cross-corpus speech emotion recognition (SER) plays a vital role in numerous practical applications. Traditional approaches to cross-corpus emotion transfer often concentrate on adapting acoustic features to align with different corpora, domains, or labels. However, acoustic features are inherently variable and error-prone due to factors like speaker differences, domain shifts, and recording conditions. To address these challenges, this study adopts a novel contrastive approach by focusing on emotion-specific articulatory gestures as the core elements for analysis. By shifting the emphasis on "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19909","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/2412.19909/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":"2026-07-05T09:54:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ut+r1Zyoe1hjJb9wnV2tQDzvOXankg71kFRGOrX38OF8WJBnrztxbJNKebABw8XKZ/4OAtwcSYye2mv/3dQ2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:15:23.437531Z"},"content_sha256":"6865a5a37e22b7ee81aa02790449106314dc3e0d8555e51c900d3dbaf7059c8e","schema_version":"1.0","event_id":"sha256:6865a5a37e22b7ee81aa02790449106314dc3e0d8555e51c900d3dbaf7059c8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU/bundle.json","state_url":"https://pith.science/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU/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":"2026-08-07T06:15:23Z","links":{"resolver":"https://pith.science/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU","bundle":"https://pith.science/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU/bundle.json","state":"https://pith.science/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NQQQUFPWZUH3OU2L4GHMPZPEHU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NQQQUFPWZUH3OU2L4GHMPZPEHU","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":"b422588f80032fdd441f23aa3d15a465f1253d26b08144acef8850bc9dd06e77","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-12-27T20:00:45Z","title_canon_sha256":"07f7f1b674ce41ae97d1eef69eb318aec4cd80dc1d312843537702025c97e2e2"},"schema_version":"1.0","source":{"id":"2412.19909","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.19909","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"arxiv_version","alias_value":"2412.19909v1","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.19909","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"pith_short_12","alias_value":"NQQQUFPWZUH3","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"pith_short_16","alias_value":"NQQQUFPWZUH3OU2L","created_at":"2026-07-05T09:54:51Z"},{"alias_kind":"pith_short_8","alias_value":"NQQQUFPW","created_at":"2026-07-05T09:54:51Z"}],"graph_snapshots":[{"event_id":"sha256:6865a5a37e22b7ee81aa02790449106314dc3e0d8555e51c900d3dbaf7059c8e","target":"graph","created_at":"2026-07-05T09:54:51Z","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/2412.19909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cross-corpus speech emotion recognition (SER) plays a vital role in numerous practical applications. Traditional approaches to cross-corpus emotion transfer often concentrate on adapting acoustic features to align with different corpora, domains, or labels. However, acoustic features are inherently variable and error-prone due to factors like speaker differences, domain shifts, and recording conditions. To address these challenges, this study adopts a novel contrastive approach by focusing on emotion-specific articulatory gestures as the core elements for analysis. By shifting the emphasis on ","authors_text":"Ali N. Salman, Carlos Busso, Chi-Chun Lee, Shreya G. Upadhyay","cross_cats":["cs.LG","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-12-27T20:00:45Z","title":"Mouth Articulation-Based Anchoring for Improved Cross-Corpus Speech Emotion Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.19909","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:c9abcfee79222427866c726850bb1a17e66c317e268a03654c49db3c010e26bf","target":"record","created_at":"2026-07-05T09:54:51Z","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":"b422588f80032fdd441f23aa3d15a465f1253d26b08144acef8850bc9dd06e77","cross_cats_sorted":["cs.LG","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2024-12-27T20:00:45Z","title_canon_sha256":"07f7f1b674ce41ae97d1eef69eb318aec4cd80dc1d312843537702025c97e2e2"},"schema_version":"1.0","source":{"id":"2412.19909","kind":"arxiv","version":1}},"canonical_sha256":"6c210a15f6cd0fb7534be18ec7e5e43d38fad6a0193a63bf1bbee966ae93e7e8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6c210a15f6cd0fb7534be18ec7e5e43d38fad6a0193a63bf1bbee966ae93e7e8","first_computed_at":"2026-07-05T09:54:51.539447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:54:51.539447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jWyZyZZoahp5Haw1Ayjf7naEEpJ+CwueutqOQttfKGTGWK2AN+nIENLzzl2YMNxTPIQwk4epHKBxA6/Uv3JSBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:54:51.539899Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.19909","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c9abcfee79222427866c726850bb1a17e66c317e268a03654c49db3c010e26bf","sha256:6865a5a37e22b7ee81aa02790449106314dc3e0d8555e51c900d3dbaf7059c8e"],"state_sha256":"0d0eb507c152ee500505348d6439712ef552487f11f2dfc9fb64b965700dbb29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E6uZkqz7SgHELikdnySoX+WXL7o+ftO7kg1zlP0pgH0fZqRhZc3xO3IHumsptvizpoz9SC81aQv5rI5qBgfzCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:15:23.442303Z","bundle_sha256":"b9e776d4f8a1d70b1d2a4de29dba7c16787d91701750796cbe8c21aad0131db4"}}