{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:2Z6LO2PEJ5PLFQXOWEREQDM3X2","short_pith_number":"pith:2Z6LO2PE","canonical_record":{"source":{"id":"2606.22563","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2026-06-21T15:43:46Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"ac55f36fd82a9143360a35b96273b2fc7f82d367b5a9b1f931061d7bcb5b027d","abstract_canon_sha256":"0d7680508514fb660b33acfe9300b806ea781b2580ac986bafaf594fabec40aa"},"schema_version":"1.0"},"canonical_sha256":"d67cb769e44f5eb2c2eeb122480d9bbe9358ab8b7d79e8d68302bc8a8d2029fc","source":{"kind":"arxiv","id":"2606.22563","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22563","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22563v1","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22563","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"2Z6LO2PEJ5PL","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"2Z6LO2PEJ5PLFQXO","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"2Z6LO2PE","created_at":"2026-06-23T02:13:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:2Z6LO2PEJ5PLFQXOWEREQDM3X2","target":"record","payload":{"canonical_record":{"source":{"id":"2606.22563","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2026-06-21T15:43:46Z","cross_cats_sorted":["cs.SD"],"title_canon_sha256":"ac55f36fd82a9143360a35b96273b2fc7f82d367b5a9b1f931061d7bcb5b027d","abstract_canon_sha256":"0d7680508514fb660b33acfe9300b806ea781b2580ac986bafaf594fabec40aa"},"schema_version":"1.0"},"canonical_sha256":"d67cb769e44f5eb2c2eeb122480d9bbe9358ab8b7d79e8d68302bc8a8d2029fc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T02:13:41.676307Z","signature_b64":"JYKr4RHvSWyXKqIl3nYRvVH/pBN9VAej5XQt2OUK++rFPTtlVYCA+6i2BXHz29C/gCc2hPjccrVzBumWzgmVAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d67cb769e44f5eb2c2eeb122480d9bbe9358ab8b7d79e8d68302bc8a8d2029fc","last_reissued_at":"2026-06-23T02:13:41.675879Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T02:13:41.675879Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.22563","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":"2026-06-23T02:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v+lJgzC/9atuHFrhyxm9gsQpI5qFNPvT1sMDOQtjbGkYxKs9AumMa8FBJuDUCizk3bPN5cZmNfwJjCnmFMmfAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T09:14:18.627971Z"},"content_sha256":"4961a121dd11b7adba6baf98840a54105baea2f57985e75367fa026bd9c4d37b","schema_version":"1.0","event_id":"sha256:4961a121dd11b7adba6baf98840a54105baea2f57985e75367fa026bd9c4d37b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:2Z6LO2PEJ5PLFQXOWEREQDM3X2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A DDSP Framework for Adaptive Room Equalization","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["cs.SD"],"primary_cat":"eess.AS","authors_text":"F. Marcos-Macias, J. L. Blanco, M. Camara, M. P. Daza-Llin","submitted_at":"2026-06-21T15:43:46Z","abstract_excerpt":"Adaptive room equalization remains challenging under time-varying acoustic conditions and complex excitation signals, such as music. In these scenarios, classical filtered-x least mean squares (Fx-LMS) methods falter due to their rigid formulation. We present a modular differentiable digital signal processing (DDSP) framework for closed-loop adaptive room equalization that recovers Fx-LMS as a special case through automatic differentiation. The framework supports interchangeable EQ structures, response estimation methods, loss functions, and optimizers. Experiments with time-varying measured r"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22563","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/2606.22563/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":"2026-06-23T02:13:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qzh5yi+fr+NqpGm087pPzF7PKDPdnYTKpPA07eDa1cMS8rMhw0CFkHheltYoICNDaAERkT+7g6yV8WskiZynAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T09:14:18.628969Z"},"content_sha256":"7b8d4738c00592b4571bc29311eed02f410c00f68674a70e0a947453e1d3f5b9","schema_version":"1.0","event_id":"sha256:7b8d4738c00592b4571bc29311eed02f410c00f68674a70e0a947453e1d3f5b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2/bundle.json","state_url":"https://pith.science/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2/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":"2026-08-12T09:14:18Z","links":{"resolver":"https://pith.science/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2","bundle":"https://pith.science/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2/bundle.json","state":"https://pith.science/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2Z6LO2PEJ5PLFQXOWEREQDM3X2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:2Z6LO2PEJ5PLFQXOWEREQDM3X2","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":"0d7680508514fb660b33acfe9300b806ea781b2580ac986bafaf594fabec40aa","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2026-06-21T15:43:46Z","title_canon_sha256":"ac55f36fd82a9143360a35b96273b2fc7f82d367b5a9b1f931061d7bcb5b027d"},"schema_version":"1.0","source":{"id":"2606.22563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.22563","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"arxiv_version","alias_value":"2606.22563v1","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.22563","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_12","alias_value":"2Z6LO2PEJ5PL","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_16","alias_value":"2Z6LO2PEJ5PLFQXO","created_at":"2026-06-23T02:13:41Z"},{"alias_kind":"pith_short_8","alias_value":"2Z6LO2PE","created_at":"2026-06-23T02:13:41Z"}],"graph_snapshots":[{"event_id":"sha256:7b8d4738c00592b4571bc29311eed02f410c00f68674a70e0a947453e1d3f5b9","target":"graph","created_at":"2026-06-23T02:13:41Z","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/2606.22563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adaptive room equalization remains challenging under time-varying acoustic conditions and complex excitation signals, such as music. In these scenarios, classical filtered-x least mean squares (Fx-LMS) methods falter due to their rigid formulation. We present a modular differentiable digital signal processing (DDSP) framework for closed-loop adaptive room equalization that recovers Fx-LMS as a special case through automatic differentiation. The framework supports interchangeable EQ structures, response estimation methods, loss functions, and optimizers. Experiments with time-varying measured r","authors_text":"F. Marcos-Macias, J. L. Blanco, M. Camara, M. P. Daza-Llin","cross_cats":["cs.SD"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2026-06-21T15:43:46Z","title":"A DDSP Framework for Adaptive Room Equalization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.22563","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":"sha256:4961a121dd11b7adba6baf98840a54105baea2f57985e75367fa026bd9c4d37b","target":"record","created_at":"2026-06-23T02:13:41Z","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":"0d7680508514fb660b33acfe9300b806ea781b2580ac986bafaf594fabec40aa","cross_cats_sorted":["cs.SD"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"eess.AS","submitted_at":"2026-06-21T15:43:46Z","title_canon_sha256":"ac55f36fd82a9143360a35b96273b2fc7f82d367b5a9b1f931061d7bcb5b027d"},"schema_version":"1.0","source":{"id":"2606.22563","kind":"arxiv","version":1}},"canonical_sha256":"d67cb769e44f5eb2c2eeb122480d9bbe9358ab8b7d79e8d68302bc8a8d2029fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d67cb769e44f5eb2c2eeb122480d9bbe9358ab8b7d79e8d68302bc8a8d2029fc","first_computed_at":"2026-06-23T02:13:41.675879Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T02:13:41.675879Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"JYKr4RHvSWyXKqIl3nYRvVH/pBN9VAej5XQt2OUK++rFPTtlVYCA+6i2BXHz29C/gCc2hPjccrVzBumWzgmVAg==","signature_status":"signed_v1","signed_at":"2026-06-23T02:13:41.676307Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.22563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4961a121dd11b7adba6baf98840a54105baea2f57985e75367fa026bd9c4d37b","sha256:7b8d4738c00592b4571bc29311eed02f410c00f68674a70e0a947453e1d3f5b9"],"state_sha256":"9ba7f03e2907bc46623eb1a3bed750f38177fa2ecffc99b2cb7d17ab1df3c081"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nnBl54yE9a5oYVBKJvVsyZTxQK7RHwXH+hp4d82GkyJFCiFD9TQ0ZHKxpz2CLsYd59v3kY4JfS42j0noR7JgDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T09:14:18.635709Z","bundle_sha256":"8b9c52a3f4dab08c03daffc93eb057497fb208218c7e9f134fe24efdd278d817"}}