{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:F7NJ6MMLFFL42N5VMK2HGCHR2Z","short_pith_number":"pith:F7NJ6MML","canonical_record":{"source":{"id":"2406.07203","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-11T12:23:01Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"fe5486c936b8dfb08bbed3eb844e6a8ee89551bb2501a9e4ec797631275bfca8","abstract_canon_sha256":"6f9fc201a618201c4571cc0036d797b0d6882adcbed213d25f9607c97fc1f581"},"schema_version":"1.0"},"canonical_sha256":"2fda9f318b2957cd37b562b47308f1d64278981184afd198592e9aaf92f32085","source":{"kind":"arxiv","id":"2406.07203","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.07203","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"arxiv_version","alias_value":"2406.07203v1","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07203","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"pith_short_12","alias_value":"F7NJ6MMLFFL4","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"F7NJ6MMLFFL42N5V","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"F7NJ6MML","created_at":"2026-07-05T08:30:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:F7NJ6MMLFFL42N5VMK2HGCHR2Z","target":"record","payload":{"canonical_record":{"source":{"id":"2406.07203","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-11T12:23:01Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"fe5486c936b8dfb08bbed3eb844e6a8ee89551bb2501a9e4ec797631275bfca8","abstract_canon_sha256":"6f9fc201a618201c4571cc0036d797b0d6882adcbed213d25f9607c97fc1f581"},"schema_version":"1.0"},"canonical_sha256":"2fda9f318b2957cd37b562b47308f1d64278981184afd198592e9aaf92f32085","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:30:19.892901Z","signature_b64":"g7j9Wwj0qNyEdQ3K0nuUoIx7c2jbVkidnNPYKbUzYctOg3iHuHBHwjhNT+l8zxj+lMoeGUZHAwRIvwmZkKUZCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2fda9f318b2957cd37b562b47308f1d64278981184afd198592e9aaf92f32085","last_reissued_at":"2026-07-05T08:30:19.892399Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:30:19.892399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.07203","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":"2026-07-05T08:30:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KlvYOmpBJUKYXYK7AB+1WfXReeX5T2LO3MbWBqjj0Gp4MyMkx5IBwtzHPjVfrMxyQL+Nseg/8ThIHCADH8yWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T21:10:39.275173Z"},"content_sha256":"9f35b5d2637ab3411c1c0b753a07c837d3b1a86e4d6606653c7996b9c367ba94","schema_version":"1.0","event_id":"sha256:9f35b5d2637ab3411c1c0b753a07c837d3b1a86e4d6606653c7996b9c367ba94"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:F7NJ6MMLFFL42N5VMK2HGCHR2Z","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ParaCLAP -- Towards a general language-audio model for computational paralinguistic tasks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Andreas Triantafyllopoulos, Bj\\\"orn Schuller, Xin Jing","submitted_at":"2024-06-11T12:23:01Z","abstract_excerpt":"Contrastive language-audio pretraining (CLAP) has recently emerged as a method for making audio analysis more generalisable. Specifically, CLAP-style models are able to `answer' a diverse set of language queries, extending the capabilities of audio models beyond a closed set of labels. However, CLAP relies on a large set of (audio, query) pairs for pretraining. While such sets are available for general audio tasks, like captioning or sound event detection, there are no datasets with matched audio and text queries for computational paralinguistic (CP) tasks. As a result, the community relies on"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07203","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/2406.07203/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":"2026-07-05T08:30:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7F1YlSxJwSahOGVnOEYYonNyzIm6GhBbL3PeeZ+rWk8tltKrrdPjsb2/rnpqVZ2q++xgnATiSgywZqReU8zvCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T21:10:39.276101Z"},"content_sha256":"eae128a25dc20b16e73cbc58bc7addd198ce24fc64c1784fd93241e605fb7503","schema_version":"1.0","event_id":"sha256:eae128a25dc20b16e73cbc58bc7addd198ce24fc64c1784fd93241e605fb7503"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z/bundle.json","state_url":"https://pith.science/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z/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":"2026-08-03T21:10:39Z","links":{"resolver":"https://pith.science/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z","bundle":"https://pith.science/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z/bundle.json","state":"https://pith.science/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F7NJ6MMLFFL42N5VMK2HGCHR2Z/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:F7NJ6MMLFFL42N5VMK2HGCHR2Z","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":"6f9fc201a618201c4571cc0036d797b0d6882adcbed213d25f9607c97fc1f581","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-11T12:23:01Z","title_canon_sha256":"fe5486c936b8dfb08bbed3eb844e6a8ee89551bb2501a9e4ec797631275bfca8"},"schema_version":"1.0","source":{"id":"2406.07203","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.07203","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"arxiv_version","alias_value":"2406.07203v1","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.07203","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"pith_short_12","alias_value":"F7NJ6MMLFFL4","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"pith_short_16","alias_value":"F7NJ6MMLFFL42N5V","created_at":"2026-07-05T08:30:19Z"},{"alias_kind":"pith_short_8","alias_value":"F7NJ6MML","created_at":"2026-07-05T08:30:19Z"}],"graph_snapshots":[{"event_id":"sha256:eae128a25dc20b16e73cbc58bc7addd198ce24fc64c1784fd93241e605fb7503","target":"graph","created_at":"2026-07-05T08:30:19Z","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/2406.07203/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Contrastive language-audio pretraining (CLAP) has recently emerged as a method for making audio analysis more generalisable. Specifically, CLAP-style models are able to `answer' a diverse set of language queries, extending the capabilities of audio models beyond a closed set of labels. However, CLAP relies on a large set of (audio, query) pairs for pretraining. While such sets are available for general audio tasks, like captioning or sound event detection, there are no datasets with matched audio and text queries for computational paralinguistic (CP) tasks. As a result, the community relies on","authors_text":"Andreas Triantafyllopoulos, Bj\\\"orn Schuller, Xin Jing","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-11T12:23:01Z","title":"ParaCLAP -- Towards a general language-audio model for computational paralinguistic tasks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.07203","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":"sha256:9f35b5d2637ab3411c1c0b753a07c837d3b1a86e4d6606653c7996b9c367ba94","target":"record","created_at":"2026-07-05T08:30:19Z","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":"6f9fc201a618201c4571cc0036d797b0d6882adcbed213d25f9607c97fc1f581","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.SD","submitted_at":"2024-06-11T12:23:01Z","title_canon_sha256":"fe5486c936b8dfb08bbed3eb844e6a8ee89551bb2501a9e4ec797631275bfca8"},"schema_version":"1.0","source":{"id":"2406.07203","kind":"arxiv","version":1}},"canonical_sha256":"2fda9f318b2957cd37b562b47308f1d64278981184afd198592e9aaf92f32085","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2fda9f318b2957cd37b562b47308f1d64278981184afd198592e9aaf92f32085","first_computed_at":"2026-07-05T08:30:19.892399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:30:19.892399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g7j9Wwj0qNyEdQ3K0nuUoIx7c2jbVkidnNPYKbUzYctOg3iHuHBHwjhNT+l8zxj+lMoeGUZHAwRIvwmZkKUZCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:30:19.892901Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.07203","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9f35b5d2637ab3411c1c0b753a07c837d3b1a86e4d6606653c7996b9c367ba94","sha256:eae128a25dc20b16e73cbc58bc7addd198ce24fc64c1784fd93241e605fb7503"],"state_sha256":"8742ae85925e2d071b9af0f269ff0dba3331f37cae9bffaa4d696573106aad63"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YW1H3n/s0zdve3vGCjIcJHkQvrD87Kr4TFujqHaYAFDIkuUez+VHA9LhwOwUuZJfARv4qEvgjkpZhrr3f8NfCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T21:10:39.299989Z","bundle_sha256":"9a9e11f2e2d03d68d1d61e69394897fe2adddd625aeb116f68e7c32565546245"}}