{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:U4RNBUEJ4X6GW2TJDELTYQPNLC","short_pith_number":"pith:U4RNBUEJ","canonical_record":{"source":{"id":"2305.18045","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-05-29T12:16:48Z","cross_cats_sorted":["cs.MM","eess.AS"],"title_canon_sha256":"54d73e55dbf9401732c47b2846880189e30421d2568bf38c241e69ad0e8917a1","abstract_canon_sha256":"3034213adb55cc60476f273fdaedf49a0b6301ead6e8103b730d0f5e74758ffd"},"schema_version":"1.0"},"canonical_sha256":"a722d0d089e5fc6b6a6919173c41ed58a1772ad83f38d468c348a0d30022e45d","source":{"kind":"arxiv","id":"2305.18045","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18045","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18045v1","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18045","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"pith_short_12","alias_value":"U4RNBUEJ4X6G","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"pith_short_16","alias_value":"U4RNBUEJ4X6GW2TJ","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"pith_short_8","alias_value":"U4RNBUEJ","created_at":"2026-07-05T06:14:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:U4RNBUEJ4X6GW2TJDELTYQPNLC","target":"record","payload":{"canonical_record":{"source":{"id":"2305.18045","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-05-29T12:16:48Z","cross_cats_sorted":["cs.MM","eess.AS"],"title_canon_sha256":"54d73e55dbf9401732c47b2846880189e30421d2568bf38c241e69ad0e8917a1","abstract_canon_sha256":"3034213adb55cc60476f273fdaedf49a0b6301ead6e8103b730d0f5e74758ffd"},"schema_version":"1.0"},"canonical_sha256":"a722d0d089e5fc6b6a6919173c41ed58a1772ad83f38d468c348a0d30022e45d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:14:51.781364Z","signature_b64":"FmK/9lYSIQXhtIAII0xmOtoRxm2H2gClWF1d4qsyHgHF20CGQVCSXiAXJh1EiJ6UhR4S3PNy9fauKDX5IuDgBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a722d0d089e5fc6b6a6919173c41ed58a1772ad83f38d468c348a0d30022e45d","last_reissued_at":"2026-07-05T06:14:51.780919Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:14:51.780919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.18045","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":"2026-07-05T06:14:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nO4QowqFRfIPqkWzrQnQFk+JryUCYf14UElvpJN7lSsLAj/cA/fkt1MLRWPDo8i9Zs8VzL3ww3n2fFy+SXRCAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T00:20:01.591194Z"},"content_sha256":"5bb6dd066949067040c8679081b9a68a982023427bc7d13e809d3566121f0ce7","schema_version":"1.0","event_id":"sha256:5bb6dd066949067040c8679081b9a68a982023427bc7d13e809d3566121f0ce7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:U4RNBUEJ4X6GW2TJDELTYQPNLC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.MM","eess.AS"],"primary_cat":"cs.SD","authors_text":"Qianhua He, Tuomas Virtanen, Wei Xie, Wenchang Cao, Yanxiong Li","submitted_at":"2023-05-29T12:16:48Z","abstract_excerpt":"New classes of sounds constantly emerge with a few samples, making it challenging for models to adapt to dynamic acoustic environments. This challenge motivates us to address the new problem of few-shot class-incremental audio classification. This study aims to enable a model to continuously recognize new classes of sounds with a few training samples of new classes while remembering the learned ones. To this end, we propose a method to generate discriminative prototypes and use them to expand the model's classifier for recognizing sounds of new and learned classes. The model is first trained w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18045","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/2305.18045/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":"2026-07-05T06:14:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OySQTKIMbRSazWThr0grAQMw1RO3TbtNFGJu7zdDbK6cgHXdnv8uzYGIH4C6+sqeYrVmGKG+ZT9pcX3rE67gDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-24T00:20:01.591711Z"},"content_sha256":"6b156a23dd9e3ece4b5e99c025c41b6fefa66df11c298b2506d569d3bdf87ae1","schema_version":"1.0","event_id":"sha256:6b156a23dd9e3ece4b5e99c025c41b6fefa66df11c298b2506d569d3bdf87ae1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC/bundle.json","state_url":"https://pith.science/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC/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":"2026-08-24T00:20:01Z","links":{"resolver":"https://pith.science/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC","bundle":"https://pith.science/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC/bundle.json","state":"https://pith.science/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U4RNBUEJ4X6GW2TJDELTYQPNLC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:U4RNBUEJ4X6GW2TJDELTYQPNLC","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":"3034213adb55cc60476f273fdaedf49a0b6301ead6e8103b730d0f5e74758ffd","cross_cats_sorted":["cs.MM","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-05-29T12:16:48Z","title_canon_sha256":"54d73e55dbf9401732c47b2846880189e30421d2568bf38c241e69ad0e8917a1"},"schema_version":"1.0","source":{"id":"2305.18045","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.18045","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"arxiv_version","alias_value":"2305.18045v1","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.18045","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"pith_short_12","alias_value":"U4RNBUEJ4X6G","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"pith_short_16","alias_value":"U4RNBUEJ4X6GW2TJ","created_at":"2026-07-05T06:14:51Z"},{"alias_kind":"pith_short_8","alias_value":"U4RNBUEJ","created_at":"2026-07-05T06:14:51Z"}],"graph_snapshots":[{"event_id":"sha256:6b156a23dd9e3ece4b5e99c025c41b6fefa66df11c298b2506d569d3bdf87ae1","target":"graph","created_at":"2026-07-05T06:14:51Z","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/2305.18045/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"New classes of sounds constantly emerge with a few samples, making it challenging for models to adapt to dynamic acoustic environments. This challenge motivates us to address the new problem of few-shot class-incremental audio classification. This study aims to enable a model to continuously recognize new classes of sounds with a few training samples of new classes while remembering the learned ones. To this end, we propose a method to generate discriminative prototypes and use them to expand the model's classifier for recognizing sounds of new and learned classes. The model is first trained w","authors_text":"Qianhua He, Tuomas Virtanen, Wei Xie, Wenchang Cao, Yanxiong Li","cross_cats":["cs.MM","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-05-29T12:16:48Z","title":"Few-shot Class-incremental Audio Classification Using Adaptively-refined Prototypes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.18045","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":"sha256:5bb6dd066949067040c8679081b9a68a982023427bc7d13e809d3566121f0ce7","target":"record","created_at":"2026-07-05T06:14:51Z","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":"3034213adb55cc60476f273fdaedf49a0b6301ead6e8103b730d0f5e74758ffd","cross_cats_sorted":["cs.MM","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2023-05-29T12:16:48Z","title_canon_sha256":"54d73e55dbf9401732c47b2846880189e30421d2568bf38c241e69ad0e8917a1"},"schema_version":"1.0","source":{"id":"2305.18045","kind":"arxiv","version":1}},"canonical_sha256":"a722d0d089e5fc6b6a6919173c41ed58a1772ad83f38d468c348a0d30022e45d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a722d0d089e5fc6b6a6919173c41ed58a1772ad83f38d468c348a0d30022e45d","first_computed_at":"2026-07-05T06:14:51.780919Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:14:51.780919Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FmK/9lYSIQXhtIAII0xmOtoRxm2H2gClWF1d4qsyHgHF20CGQVCSXiAXJh1EiJ6UhR4S3PNy9fauKDX5IuDgBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:14:51.781364Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.18045","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5bb6dd066949067040c8679081b9a68a982023427bc7d13e809d3566121f0ce7","sha256:6b156a23dd9e3ece4b5e99c025c41b6fefa66df11c298b2506d569d3bdf87ae1"],"state_sha256":"7d914b1ded639270bbcad0adfaa4d008b4f64aa787018acaa097438becce4724"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ktw7ZF32Cf0pKJdlAzv7D0ksZLj3ZrLcPhFmbtIqFMxdNcLj7zBHq0i/3gjcZ6cUE5ko62MbguwWveCZ8W9xAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-24T00:20:01.596666Z","bundle_sha256":"55cf269d376d2a08fa7a0b81da08457499781b650b207e336afd99d2a225e1af"}}