{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:FK2PJORRBIDR7UA4ZASSKG2GC3","short_pith_number":"pith:FK2PJORR","canonical_record":{"source":{"id":"2110.04284","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-10-08T17:52:24Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"2be6da77f6af547dc65069a0b585ea417df0c779f09b2a100167b816649f4ece","abstract_canon_sha256":"a0d78b86fbfadb610aa9957b08098e9b2de3bdccbaa252309f9d51929339a84b"},"schema_version":"1.0"},"canonical_sha256":"2ab4f4ba310a071fd01cc825251b4616f47b4223c102810002d8a3cbde9f4265","source":{"kind":"arxiv","id":"2110.04284","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.04284","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2110.04284v1","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.04284","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"FK2PJORRBIDR","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"FK2PJORRBIDR7UA4","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"FK2PJORR","created_at":"2026-07-05T03:21:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:FK2PJORRBIDR7UA4ZASSKG2GC3","target":"record","payload":{"canonical_record":{"source":{"id":"2110.04284","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-10-08T17:52:24Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"2be6da77f6af547dc65069a0b585ea417df0c779f09b2a100167b816649f4ece","abstract_canon_sha256":"a0d78b86fbfadb610aa9957b08098e9b2de3bdccbaa252309f9d51929339a84b"},"schema_version":"1.0"},"canonical_sha256":"2ab4f4ba310a071fd01cc825251b4616f47b4223c102810002d8a3cbde9f4265","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:21:02.701986Z","signature_b64":"z3uzFanbRXffaNSYLycRtcs+VPjEZ3VFk0164lTKW5iXKB17jqmEEyI3QZS2J7B01pVz7T/T6yFqFL2ZObO6BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ab4f4ba310a071fd01cc825251b4616f47b4223c102810002d8a3cbde9f4265","last_reissued_at":"2026-07-05T03:21:02.701561Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:21:02.701561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.04284","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":"2026-07-05T03:21:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AqrE/yeJJjvJw9SKsUtaQ4tdGrtdsrWM6dWJ80/BdCJpmzA8IZ45KrZAc92hLsc4Ovif+64zjn8L1TiCblniAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T11:27:09.496426Z"},"content_sha256":"a81752931f7f6bdbb3b2c8c1536815827c4bb33b0f4bbd25d38bb460ed7df9e7","schema_version":"1.0","event_id":"sha256:a81752931f7f6bdbb3b2c8c1536815827c4bb33b0f4bbd25d38bb460ed7df9e7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:FK2PJORRBIDR7UA4ZASSKG2GC3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Auto-DSP: Learning to Optimize Acoustic Echo Cancellers","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis","submitted_at":"2021-10-08T17:52:24Z","abstract_excerpt":"Adaptive filtering algorithms are commonplace in signal processing and have wide-ranging applications from single-channel denoising to multi-channel acoustic echo cancellation and adaptive beamforming. Such algorithms typically operate via specialized online, iterative optimization methods and have achieved tremendous success, but require expert knowledge, are slow to develop, and are difficult to customize. In our work, we present a new method to automatically learn adaptive filtering update rules directly from data. To do so, we frame adaptive filtering as a differentiable operator and train"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.04284","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/2110.04284/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":"2026-07-05T03:21:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wR9CuKed/frZyY2TTAXC2PSjp+yavDUscOH95COFftB2ms6i8lKkrb54T9bPXAeVEabP7Z3u+T5AJyqtTneBBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T11:27:09.496805Z"},"content_sha256":"43f53605f0b325f26f94e770b7a01b2fa75d77b20b66d3125acd9d9102b39c67","schema_version":"1.0","event_id":"sha256:43f53605f0b325f26f94e770b7a01b2fa75d77b20b66d3125acd9d9102b39c67"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FK2PJORRBIDR7UA4ZASSKG2GC3/bundle.json","state_url":"https://pith.science/pith/FK2PJORRBIDR7UA4ZASSKG2GC3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FK2PJORRBIDR7UA4ZASSKG2GC3/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":"2026-07-09T11:27:09Z","links":{"resolver":"https://pith.science/pith/FK2PJORRBIDR7UA4ZASSKG2GC3","bundle":"https://pith.science/pith/FK2PJORRBIDR7UA4ZASSKG2GC3/bundle.json","state":"https://pith.science/pith/FK2PJORRBIDR7UA4ZASSKG2GC3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FK2PJORRBIDR7UA4ZASSKG2GC3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:FK2PJORRBIDR7UA4ZASSKG2GC3","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":"a0d78b86fbfadb610aa9957b08098e9b2de3bdccbaa252309f9d51929339a84b","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-10-08T17:52:24Z","title_canon_sha256":"2be6da77f6af547dc65069a0b585ea417df0c779f09b2a100167b816649f4ece"},"schema_version":"1.0","source":{"id":"2110.04284","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.04284","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"arxiv_version","alias_value":"2110.04284v1","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.04284","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"pith_short_12","alias_value":"FK2PJORRBIDR","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"pith_short_16","alias_value":"FK2PJORRBIDR7UA4","created_at":"2026-07-05T03:21:02Z"},{"alias_kind":"pith_short_8","alias_value":"FK2PJORR","created_at":"2026-07-05T03:21:02Z"}],"graph_snapshots":[{"event_id":"sha256:43f53605f0b325f26f94e770b7a01b2fa75d77b20b66d3125acd9d9102b39c67","target":"graph","created_at":"2026-07-05T03:21:02Z","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/2110.04284/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Adaptive filtering algorithms are commonplace in signal processing and have wide-ranging applications from single-channel denoising to multi-channel acoustic echo cancellation and adaptive beamforming. Such algorithms typically operate via specialized online, iterative optimization methods and have achieved tremendous success, but require expert knowledge, are slow to develop, and are difficult to customize. In our work, we present a new method to automatically learn adaptive filtering update rules directly from data. To do so, we frame adaptive filtering as a differentiable operator and train","authors_text":"Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis","cross_cats":["eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-10-08T17:52:24Z","title":"Auto-DSP: Learning to Optimize Acoustic Echo Cancellers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.04284","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:a81752931f7f6bdbb3b2c8c1536815827c4bb33b0f4bbd25d38bb460ed7df9e7","target":"record","created_at":"2026-07-05T03:21:02Z","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":"a0d78b86fbfadb610aa9957b08098e9b2de3bdccbaa252309f9d51929339a84b","cross_cats_sorted":["eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2021-10-08T17:52:24Z","title_canon_sha256":"2be6da77f6af547dc65069a0b585ea417df0c779f09b2a100167b816649f4ece"},"schema_version":"1.0","source":{"id":"2110.04284","kind":"arxiv","version":1}},"canonical_sha256":"2ab4f4ba310a071fd01cc825251b4616f47b4223c102810002d8a3cbde9f4265","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ab4f4ba310a071fd01cc825251b4616f47b4223c102810002d8a3cbde9f4265","first_computed_at":"2026-07-05T03:21:02.701561Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:21:02.701561Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z3uzFanbRXffaNSYLycRtcs+VPjEZ3VFk0164lTKW5iXKB17jqmEEyI3QZS2J7B01pVz7T/T6yFqFL2ZObO6BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:21:02.701986Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.04284","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a81752931f7f6bdbb3b2c8c1536815827c4bb33b0f4bbd25d38bb460ed7df9e7","sha256:43f53605f0b325f26f94e770b7a01b2fa75d77b20b66d3125acd9d9102b39c67"],"state_sha256":"b0bebcb737e77f99fe5335482c930a0bcb9ff73a61115640f06a7e269fe97229"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8aKy4Dt6dAbN54e6h3Zz2+tBR98kZ+jAmfdfneNiIvAnBt8xhfzF73CydZmDjpFW+6Ev1+ZluZjDnc7CMY7NCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T11:27:09.498978Z","bundle_sha256":"5c149e386a63c067964b201a05b32a4555f7d9126404a19757ae93e0fa8bc303"}}