{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:IKKAZR4IVU6FM5PYYN7WQARJJ7","short_pith_number":"pith:IKKAZR4I","canonical_record":{"source":{"id":"2011.04609","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-11-09T18:07:06Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"cb5430b46a850f7eb6a987937884296dfb69739d307b6ad08dfef7944e75d893","abstract_canon_sha256":"7d82cec1d177dcdb4a0b4903cc0eac6f3e1c17515c3ea71180dc2490ed37306e"},"schema_version":"1.0"},"canonical_sha256":"42940cc788ad3c5675f8c37f6802294fc9dd8292d738ef517ac80abde998322e","source":{"kind":"arxiv","id":"2011.04609","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.04609","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"arxiv_version","alias_value":"2011.04609v5","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.04609","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"pith_short_12","alias_value":"IKKAZR4IVU6F","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"pith_short_16","alias_value":"IKKAZR4IVU6FM5PY","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"pith_short_8","alias_value":"IKKAZR4I","created_at":"2026-07-05T05:26:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:IKKAZR4IVU6FM5PYYN7WQARJJ7","target":"record","payload":{"canonical_record":{"source":{"id":"2011.04609","kind":"arxiv","version":5},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-11-09T18:07:06Z","cross_cats_sorted":["eess.AS"],"title_canon_sha256":"cb5430b46a850f7eb6a987937884296dfb69739d307b6ad08dfef7944e75d893","abstract_canon_sha256":"7d82cec1d177dcdb4a0b4903cc0eac6f3e1c17515c3ea71180dc2490ed37306e"},"schema_version":"1.0"},"canonical_sha256":"42940cc788ad3c5675f8c37f6802294fc9dd8292d738ef517ac80abde998322e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:26:00.841816Z","signature_b64":"x1qvNUW36yZkBhfSteIBy3TbG5m17Pl/VI9lx6OR6DNSkhj/6TeCaUk6fH/QHzRb/jlGFfgEgiZLuDSwCr1IDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"42940cc788ad3c5675f8c37f6802294fc9dd8292d738ef517ac80abde998322e","last_reissued_at":"2026-07-05T05:26:00.841411Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:26:00.841411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2011.04609","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:26:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"R9ScjgAV+y6DH6TanlK5lT3RhBhXj9aEYUURxWKenajH/mSVwnS0T5QG2Celw4BMpb/uBK7FvRrPy/XXxrN8Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:35:45.655166Z"},"content_sha256":"de018a2baad5b04c7cd2422a082ea4fa276df7df6ee9d92d127905eb4ed24fd9","schema_version":"1.0","event_id":"sha256:de018a2baad5b04c7cd2422a082ea4fa276df7df6ee9d92d127905eb4ed24fd9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:IKKAZR4IVU6FM5PYYN7WQARJJ7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FRILL: A Non-Semantic Speech Embedding for Mobile Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.AS"],"primary_cat":"cs.SD","authors_text":"Jacob Peplinski, Jake Garrison, Joel Shor, Sachin Joglekar, Shwetak Patel","submitted_at":"2020-11-09T18:07:06Z","abstract_excerpt":"Learned speech representations can drastically improve performance on tasks with limited labeled data. However, due to their size and complexity, learned representations have limited utility in mobile settings where run-time performance can be a significant bottleneck. In this work, we propose a class of lightweight non-semantic speech embedding models that run efficiently on mobile devices based on the recently proposed TRILL speech embedding. We combine novel architectural modifications with existing speed-up techniques to create embedding models that are fast enough to run in real-time on a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.04609","kind":"arxiv","version":5},"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/2011.04609/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":"2026-07-05T05:26:00Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nLDN4p2QY6vvPerMGfMfsNniyQYz3TXSsY9bbLAZlU6EG6AuGlVWUTGKogaNbwzQgF0YxsTsJavzEggGU+k+AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T15:35:45.656194Z"},"content_sha256":"fca7b8135fbd308d6d366b83a206b26e6ba24ab7a9eb7ae8dc55a5648fdbb92a","schema_version":"1.0","event_id":"sha256:fca7b8135fbd308d6d366b83a206b26e6ba24ab7a9eb7ae8dc55a5648fdbb92a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7/bundle.json","state_url":"https://pith.science/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7/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":"2026-08-18T15:35:45Z","links":{"resolver":"https://pith.science/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7","bundle":"https://pith.science/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7/bundle.json","state":"https://pith.science/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IKKAZR4IVU6FM5PYYN7WQARJJ7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:IKKAZR4IVU6FM5PYYN7WQARJJ7","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":"7d82cec1d177dcdb4a0b4903cc0eac6f3e1c17515c3ea71180dc2490ed37306e","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-11-09T18:07:06Z","title_canon_sha256":"cb5430b46a850f7eb6a987937884296dfb69739d307b6ad08dfef7944e75d893"},"schema_version":"1.0","source":{"id":"2011.04609","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2011.04609","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"arxiv_version","alias_value":"2011.04609v5","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2011.04609","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"pith_short_12","alias_value":"IKKAZR4IVU6F","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"pith_short_16","alias_value":"IKKAZR4IVU6FM5PY","created_at":"2026-07-05T05:26:00Z"},{"alias_kind":"pith_short_8","alias_value":"IKKAZR4I","created_at":"2026-07-05T05:26:00Z"}],"graph_snapshots":[{"event_id":"sha256:fca7b8135fbd308d6d366b83a206b26e6ba24ab7a9eb7ae8dc55a5648fdbb92a","target":"graph","created_at":"2026-07-05T05:26:00Z","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/2011.04609/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learned speech representations can drastically improve performance on tasks with limited labeled data. However, due to their size and complexity, learned representations have limited utility in mobile settings where run-time performance can be a significant bottleneck. In this work, we propose a class of lightweight non-semantic speech embedding models that run efficiently on mobile devices based on the recently proposed TRILL speech embedding. We combine novel architectural modifications with existing speed-up techniques to create embedding models that are fast enough to run in real-time on a","authors_text":"Jacob Peplinski, Jake Garrison, Joel Shor, Sachin Joglekar, Shwetak Patel","cross_cats":["eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-11-09T18:07:06Z","title":"FRILL: A Non-Semantic Speech Embedding for Mobile Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2011.04609","kind":"arxiv","version":5},"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:de018a2baad5b04c7cd2422a082ea4fa276df7df6ee9d92d127905eb4ed24fd9","target":"record","created_at":"2026-07-05T05:26:00Z","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":"7d82cec1d177dcdb4a0b4903cc0eac6f3e1c17515c3ea71180dc2490ed37306e","cross_cats_sorted":["eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SD","submitted_at":"2020-11-09T18:07:06Z","title_canon_sha256":"cb5430b46a850f7eb6a987937884296dfb69739d307b6ad08dfef7944e75d893"},"schema_version":"1.0","source":{"id":"2011.04609","kind":"arxiv","version":5}},"canonical_sha256":"42940cc788ad3c5675f8c37f6802294fc9dd8292d738ef517ac80abde998322e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"42940cc788ad3c5675f8c37f6802294fc9dd8292d738ef517ac80abde998322e","first_computed_at":"2026-07-05T05:26:00.841411Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:26:00.841411Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"x1qvNUW36yZkBhfSteIBy3TbG5m17Pl/VI9lx6OR6DNSkhj/6TeCaUk6fH/QHzRb/jlGFfgEgiZLuDSwCr1IDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:26:00.841816Z","signed_message":"canonical_sha256_bytes"},"source_id":"2011.04609","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:de018a2baad5b04c7cd2422a082ea4fa276df7df6ee9d92d127905eb4ed24fd9","sha256:fca7b8135fbd308d6d366b83a206b26e6ba24ab7a9eb7ae8dc55a5648fdbb92a"],"state_sha256":"fbfe1b121275300631153c4d0a2acda3ac11e0705017cd491157de1fc327678d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WfwZ451K98v3m5H8RiLVOk19AvQwRJ50Lz5lHJMMNAspKJKmaziEkC/gRiwaJ6x6t+eGORLJ+2iSPD9BDD+PDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T15:35:45.662420Z","bundle_sha256":"8927d4bbd04402767e0fa09a90355637c9583a1e5d5041c6b0e5593e9ca6a42b"}}