{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:EOQPCTCFL2JNJ3U4OB3L3PPB2M","short_pith_number":"pith:EOQPCTCF","canonical_record":{"source":{"id":"2103.06089","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-10T14:42:31Z","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"title_canon_sha256":"f53d5dc7ef6bb01194f37fdd29b68afd47f8bec076db9c7c510de6feb8c26e31","abstract_canon_sha256":"d626bf439790f242e833a9e8f04416305b0a6b18401655591bf1a7260d161b31"},"schema_version":"1.0"},"canonical_sha256":"23a0f14c455e92d4ee9c7076bdbde1d3069242da39428cdc524264954ab4205a","source":{"kind":"arxiv","id":"2103.06089","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06089","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06089v1","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06089","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"EOQPCTCFL2JN","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"EOQPCTCFL2JNJ3U4","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"EOQPCTCF","created_at":"2026-07-05T02:22:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:EOQPCTCFL2JNJ3U4OB3L3PPB2M","target":"record","payload":{"canonical_record":{"source":{"id":"2103.06089","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-10T14:42:31Z","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"title_canon_sha256":"f53d5dc7ef6bb01194f37fdd29b68afd47f8bec076db9c7c510de6feb8c26e31","abstract_canon_sha256":"d626bf439790f242e833a9e8f04416305b0a6b18401655591bf1a7260d161b31"},"schema_version":"1.0"},"canonical_sha256":"23a0f14c455e92d4ee9c7076bdbde1d3069242da39428cdc524264954ab4205a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:22:01.479243Z","signature_b64":"FTuuGFNEbuC6RQRSlcmRqJ606GdMp0Oo7ggIJJcg77/78YRXb2ZP+Qd4YFv2GjNmQkGXC5TlcOpi8va0OE2sCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"23a0f14c455e92d4ee9c7076bdbde1d3069242da39428cdc524264954ab4205a","last_reissued_at":"2026-07-05T02:22:01.478727Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:22:01.478727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.06089","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":"2026-07-05T02:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tYkg7ipyD7Bu3geAAx3nYQw9BFCUh7PCKhPY/8xjkQ8BRK9aUkPwfelZsdjRaTe7YLhXT5kyHUQysoBAIriJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T03:04:23.267544Z"},"content_sha256":"1fb0d4dc7e5434e96565104135c09109eba5deb6dc26b7da6b796ccd0ea3a120","schema_version":"1.0","event_id":"sha256:1fb0d4dc7e5434e96565104135c09109eba5deb6dc26b7da6b796ccd0ea3a120"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:EOQPCTCFL2JNJ3U4OB3L3PPB2M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Variable-rate discrete representation learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD","eess.AS"],"primary_cat":"cs.LG","authors_text":"Charlie Nash, Jesse Engel, Karen Simonyan, Sander Dieleman","submitted_at":"2021-03-10T14:42:31Z","abstract_excerpt":"Semantically meaningful information content in perceptual signals is usually unevenly distributed. In speech signals for example, there are often many silences, and the speed of pronunciation can vary considerably. In this work, we propose slow autoencoders (SlowAEs) for unsupervised learning of high-level variable-rate discrete representations of sequences, and apply them to speech. We show that the resulting event-based representations automatically grow or shrink depending on the density of salient information in the input signals, while still allowing for faithful signal reconstruction. We"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06089","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/2103.06089/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":"2026-07-05T02:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ad3/o8Q0upXzbD59b3E1wBS8BR/Axp6Xan/jTlps4Sk//m6QZNfMtdFS/+nOeaHBIK4nM0kTCZY+YUMT4d5kBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-16T03:04:23.267933Z"},"content_sha256":"43e28ea2f5021cf170856cdb28eab37363210e84c7813d10070521b8e609afee","schema_version":"1.0","event_id":"sha256:43e28ea2f5021cf170856cdb28eab37363210e84c7813d10070521b8e609afee"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M/bundle.json","state_url":"https://pith.science/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M/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":"2026-07-16T03:04:23Z","links":{"resolver":"https://pith.science/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M","bundle":"https://pith.science/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M/bundle.json","state":"https://pith.science/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EOQPCTCFL2JNJ3U4OB3L3PPB2M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:EOQPCTCFL2JNJ3U4OB3L3PPB2M","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":"d626bf439790f242e833a9e8f04416305b0a6b18401655591bf1a7260d161b31","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-10T14:42:31Z","title_canon_sha256":"f53d5dc7ef6bb01194f37fdd29b68afd47f8bec076db9c7c510de6feb8c26e31"},"schema_version":"1.0","source":{"id":"2103.06089","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.06089","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2103.06089v1","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.06089","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"EOQPCTCFL2JN","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"EOQPCTCFL2JNJ3U4","created_at":"2026-07-05T02:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"EOQPCTCF","created_at":"2026-07-05T02:22:01Z"}],"graph_snapshots":[{"event_id":"sha256:43e28ea2f5021cf170856cdb28eab37363210e84c7813d10070521b8e609afee","target":"graph","created_at":"2026-07-05T02:22:01Z","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/2103.06089/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Semantically meaningful information content in perceptual signals is usually unevenly distributed. In speech signals for example, there are often many silences, and the speed of pronunciation can vary considerably. In this work, we propose slow autoencoders (SlowAEs) for unsupervised learning of high-level variable-rate discrete representations of sequences, and apply them to speech. We show that the resulting event-based representations automatically grow or shrink depending on the density of salient information in the input signals, while still allowing for faithful signal reconstruction. We","authors_text":"Charlie Nash, Jesse Engel, Karen Simonyan, Sander Dieleman","cross_cats":["cs.CL","cs.SD","eess.AS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-10T14:42:31Z","title":"Variable-rate discrete representation learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.06089","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":"sha256:1fb0d4dc7e5434e96565104135c09109eba5deb6dc26b7da6b796ccd0ea3a120","target":"record","created_at":"2026-07-05T02:22:01Z","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":"d626bf439790f242e833a9e8f04416305b0a6b18401655591bf1a7260d161b31","cross_cats_sorted":["cs.CL","cs.SD","eess.AS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-03-10T14:42:31Z","title_canon_sha256":"f53d5dc7ef6bb01194f37fdd29b68afd47f8bec076db9c7c510de6feb8c26e31"},"schema_version":"1.0","source":{"id":"2103.06089","kind":"arxiv","version":1}},"canonical_sha256":"23a0f14c455e92d4ee9c7076bdbde1d3069242da39428cdc524264954ab4205a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23a0f14c455e92d4ee9c7076bdbde1d3069242da39428cdc524264954ab4205a","first_computed_at":"2026-07-05T02:22:01.478727Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:22:01.478727Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FTuuGFNEbuC6RQRSlcmRqJ606GdMp0Oo7ggIJJcg77/78YRXb2ZP+Qd4YFv2GjNmQkGXC5TlcOpi8va0OE2sCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:22:01.479243Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.06089","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1fb0d4dc7e5434e96565104135c09109eba5deb6dc26b7da6b796ccd0ea3a120","sha256:43e28ea2f5021cf170856cdb28eab37363210e84c7813d10070521b8e609afee"],"state_sha256":"2bc58a04cdda98cbef000598d801a696a658291e988dffb128a4d65b9ec00691"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kVLHdqA9MpMtZg91DVTtdymp9fRxbBlHeaEXi9EeJYzYBGgGLsX93D/6hpr0VlQywpN0Q7uvq8o5HCyiRr9gCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-16T03:04:23.270175Z","bundle_sha256":"ad52a5dd8665f7a7338e3f73b49cf0454ea805b0edcf876f13ed2807fbc65cf5"}}