{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:L6MCLJRWS6DOT2UJ6OM73D6EJA","short_pith_number":"pith:L6MCLJRW","canonical_record":{"source":{"id":"2606.11922","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-06-10T10:53:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d1fbd237d4dacda58f20eeeb9c0a7798c42bff6ad6df1d4c458a81bea849feee","abstract_canon_sha256":"877e7b2da20cf30c9687501df4af16e96cd99a805a427f8a1bd8a750e3b6de4e"},"schema_version":"1.0"},"canonical_sha256":"5f9825a6369786e9ea89f399fd8fc44837798646b979668bb7856e08356ca906","source":{"kind":"arxiv","id":"2606.11922","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11922","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11922v1","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11922","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"pith_short_12","alias_value":"L6MCLJRWS6DO","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"pith_short_16","alias_value":"L6MCLJRWS6DOT2UJ","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"pith_short_8","alias_value":"L6MCLJRW","created_at":"2026-06-11T01:10:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:L6MCLJRWS6DOT2UJ6OM73D6EJA","target":"record","payload":{"canonical_record":{"source":{"id":"2606.11922","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-06-10T10:53:41Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"d1fbd237d4dacda58f20eeeb9c0a7798c42bff6ad6df1d4c458a81bea849feee","abstract_canon_sha256":"877e7b2da20cf30c9687501df4af16e96cd99a805a427f8a1bd8a750e3b6de4e"},"schema_version":"1.0"},"canonical_sha256":"5f9825a6369786e9ea89f399fd8fc44837798646b979668bb7856e08356ca906","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:15.999948Z","signature_b64":"BprbcCDBpf2Yg9vlpwyHpjHMUY8Pnx1xIrcV5/0lJ40rlCF2stXcwsgLJYk6GweHBhljLwhEWuf/Jx0LUrwrBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5f9825a6369786e9ea89f399fd8fc44837798646b979668bb7856e08356ca906","last_reissued_at":"2026-06-11T01:10:15.998967Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:15.998967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.11922","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":"2026-06-11T01:10:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"07Re28Fw4bhT/HfG62hN05cJFNMnSpIziMME79DQYIM1xhjJW1Ef3ArKXxcb8VMtfErT58MWNHZ1Kg1c6X0XCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T15:55:13.741719Z"},"content_sha256":"7ef656e5454097d6067fb3abbd3a8625752d82ae2b7025a8e89d8f536b1e9509","schema_version":"1.0","event_id":"sha256:7ef656e5454097d6067fb3abbd3a8625752d82ae2b7025a8e89d8f536b1e9509"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:L6MCLJRWS6DOT2UJ6OM73D6EJA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.SD","authors_text":"Hemansh Shridhar, June-Woo Kim, Miika Toikkanen","submitted_at":"2026-06-10T10:53:41Z","abstract_excerpt":"Recent respiratory sound classification (RSC) studies largely rely on CLS-token driven self-attention architectures such as the Audio Spectrogram Transformer (AST). While effective at modeling global context, recent analyses suggest a low-pass filtering behavior that may reduce sensitivity to localized abnormal patterns. In this work, we investigate State Space Models (SSMs) as an alternative backbone for RSC. Using the Distilled Audio State Space model, we analyze intermediate representations through spectral response curves and observe stronger preservation of mid-to-high spatial-frequency c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11922","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/2606.11922/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":"2026-06-11T01:10:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yB3JIDhYcHTSzHGefCJG1A0mnDSTru4dJNpH84037DWyIX0cLw9TNwyUR8VKO4HstwebO4wBnewMMIWdb3RqDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T15:55:13.742092Z"},"content_sha256":"27578954e9b503b2f1d8a0facef1c9bc82aadecd71a2e5339a6e879a189a78fc","schema_version":"1.0","event_id":"sha256:27578954e9b503b2f1d8a0facef1c9bc82aadecd71a2e5339a6e879a189a78fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA/bundle.json","state_url":"https://pith.science/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA/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":"2026-06-28T15:55:13Z","links":{"resolver":"https://pith.science/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA","bundle":"https://pith.science/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA/bundle.json","state":"https://pith.science/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L6MCLJRWS6DOT2UJ6OM73D6EJA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:L6MCLJRWS6DOT2UJ6OM73D6EJA","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":"877e7b2da20cf30c9687501df4af16e96cd99a805a427f8a1bd8a750e3b6de4e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-06-10T10:53:41Z","title_canon_sha256":"d1fbd237d4dacda58f20eeeb9c0a7798c42bff6ad6df1d4c458a81bea849feee"},"schema_version":"1.0","source":{"id":"2606.11922","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.11922","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"arxiv_version","alias_value":"2606.11922v1","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.11922","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"pith_short_12","alias_value":"L6MCLJRWS6DO","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"pith_short_16","alias_value":"L6MCLJRWS6DOT2UJ","created_at":"2026-06-11T01:10:15Z"},{"alias_kind":"pith_short_8","alias_value":"L6MCLJRW","created_at":"2026-06-11T01:10:15Z"}],"graph_snapshots":[{"event_id":"sha256:27578954e9b503b2f1d8a0facef1c9bc82aadecd71a2e5339a6e879a189a78fc","target":"graph","created_at":"2026-06-11T01:10:15Z","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/2606.11922/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent respiratory sound classification (RSC) studies largely rely on CLS-token driven self-attention architectures such as the Audio Spectrogram Transformer (AST). While effective at modeling global context, recent analyses suggest a low-pass filtering behavior that may reduce sensitivity to localized abnormal patterns. In this work, we investigate State Space Models (SSMs) as an alternative backbone for RSC. Using the Distilled Audio State Space model, we analyze intermediate representations through spectral response curves and observe stronger preservation of mid-to-high spatial-frequency c","authors_text":"Hemansh Shridhar, June-Woo Kim, Miika Toikkanen","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-06-10T10:53:41Z","title":"Lung-SRAD: Spectral-Aware Regularized Audio DASS with Dual-Axis Patch-Mix Contrastive Learning for Respiratory Sound Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.11922","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":"sha256:7ef656e5454097d6067fb3abbd3a8625752d82ae2b7025a8e89d8f536b1e9509","target":"record","created_at":"2026-06-11T01:10:15Z","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":"877e7b2da20cf30c9687501df4af16e96cd99a805a427f8a1bd8a750e3b6de4e","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-06-10T10:53:41Z","title_canon_sha256":"d1fbd237d4dacda58f20eeeb9c0a7798c42bff6ad6df1d4c458a81bea849feee"},"schema_version":"1.0","source":{"id":"2606.11922","kind":"arxiv","version":1}},"canonical_sha256":"5f9825a6369786e9ea89f399fd8fc44837798646b979668bb7856e08356ca906","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5f9825a6369786e9ea89f399fd8fc44837798646b979668bb7856e08356ca906","first_computed_at":"2026-06-11T01:10:15.998967Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:15.998967Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BprbcCDBpf2Yg9vlpwyHpjHMUY8Pnx1xIrcV5/0lJ40rlCF2stXcwsgLJYk6GweHBhljLwhEWuf/Jx0LUrwrBA==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:15.999948Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.11922","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ef656e5454097d6067fb3abbd3a8625752d82ae2b7025a8e89d8f536b1e9509","sha256:27578954e9b503b2f1d8a0facef1c9bc82aadecd71a2e5339a6e879a189a78fc"],"state_sha256":"095a49559003f4a2d2b0bf843c56ba31b2fea89f142f28f684115e7893f1c351"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+aVxBjB80vENHzLEZ0F5of74noohUTvSPn/xaQWvTAAGqbFH8yNS7XfTv/jFpQ3wTotKoiPwW6zexUtBlSaIBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T15:55:13.744135Z","bundle_sha256":"1123112011cdd44907fab647e807c3e3a26485bba73df754835f3d27a4086453"}}