{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:4D5F77UKWNXDDVRRS2GOWBUVGI","short_pith_number":"pith:4D5F77UK","canonical_record":{"source":{"id":"2005.08118","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-16T22:28:09Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"a2d8e953ce35747b77d68916e4e01c49b4e7270edcc7474851fe2d207dc4803f","abstract_canon_sha256":"946559e31da732e38fbe96ba7d29e0ea6fa72174867295dd605229b86ad31dbd"},"schema_version":"1.0"},"canonical_sha256":"e0fa5ffe8ab36e31d631968ceb0695322cdf58348a921d28f4a91ce90ab33716","source":{"kind":"arxiv","id":"2005.08118","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.08118","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"arxiv_version","alias_value":"2005.08118v1","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.08118","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"pith_short_12","alias_value":"4D5F77UKWNXD","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"pith_short_16","alias_value":"4D5F77UKWNXDDVRR","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"pith_short_8","alias_value":"4D5F77UK","created_at":"2026-07-05T01:03:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:4D5F77UKWNXDDVRRS2GOWBUVGI","target":"record","payload":{"canonical_record":{"source":{"id":"2005.08118","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-16T22:28:09Z","cross_cats_sorted":["cs.CL","cs.SD"],"title_canon_sha256":"a2d8e953ce35747b77d68916e4e01c49b4e7270edcc7474851fe2d207dc4803f","abstract_canon_sha256":"946559e31da732e38fbe96ba7d29e0ea6fa72174867295dd605229b86ad31dbd"},"schema_version":"1.0"},"canonical_sha256":"e0fa5ffe8ab36e31d631968ceb0695322cdf58348a921d28f4a91ce90ab33716","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:03:28.327014Z","signature_b64":"fUDip7xa6MoC6r8HShwWFmoTmOVfCGiYUoyyXHwG90WZxChdIryu/XUrmdXsok/scKpV9xAYOKGnoZMUWWHUCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0fa5ffe8ab36e31d631968ceb0695322cdf58348a921d28f4a91ce90ab33716","last_reissued_at":"2026-07-05T01:03:28.326377Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:03:28.326377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2005.08118","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":"2026-07-05T01:03:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"esapVK+oA7+9Rr/cSq8qBhBBRET4YRoWIsRnUHJ80dVrgM+VsB+XKjn5nOiAsgAlhdUxlGj3WX3CfJX3ezJEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:30:30.023468Z"},"content_sha256":"25ff6aaf22df9fa392b2ff30f22cb5527583daeb49323c5d782a19c69b023b3c","schema_version":"1.0","event_id":"sha256:25ff6aaf22df9fa392b2ff30f22cb5527583daeb49323c5d782a19c69b023b3c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:4D5F77UKWNXDDVRRS2GOWBUVGI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SD"],"primary_cat":"eess.AS","authors_text":"Laureano Moro-Vel\\'azquez, Mark Hasegawa-Johnson, Najim Dehak, Odette Scharenborg, Piotr \\.Zelasko","submitted_at":"2020-05-16T22:28:09Z","abstract_excerpt":"Only a handful of the world's languages are abundant with the resources that enable practical applications of speech processing technologies. One of the methods to overcome this problem is to use the resources existing in other languages to train a multilingual automatic speech recognition (ASR) model, which, intuitively, should learn some universal phonetic representations. In this work, we focus on gaining a deeper understanding of how general these representations might be, and how individual phones are getting improved in a multilingual setting. To that end, we select a phonetically divers"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.08118","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/2005.08118/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":"2026-07-05T01:03:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p6jmwfmzsw/wtecdpgg0ij4dvS/KtuO1ygFWJN96I1f51inMKF2olz8/SrN12kj8B6QQ4QW95acBLg/kvGg7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:30:30.023838Z"},"content_sha256":"9759eb6bde7c00b50d44a90ac56f8a6177732eb59cfd14cc9cf52f51817ea6fc","schema_version":"1.0","event_id":"sha256:9759eb6bde7c00b50d44a90ac56f8a6177732eb59cfd14cc9cf52f51817ea6fc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4D5F77UKWNXDDVRRS2GOWBUVGI/bundle.json","state_url":"https://pith.science/pith/4D5F77UKWNXDDVRRS2GOWBUVGI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4D5F77UKWNXDDVRRS2GOWBUVGI/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":"2026-07-06T19:30:30Z","links":{"resolver":"https://pith.science/pith/4D5F77UKWNXDDVRRS2GOWBUVGI","bundle":"https://pith.science/pith/4D5F77UKWNXDDVRRS2GOWBUVGI/bundle.json","state":"https://pith.science/pith/4D5F77UKWNXDDVRRS2GOWBUVGI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4D5F77UKWNXDDVRRS2GOWBUVGI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:4D5F77UKWNXDDVRRS2GOWBUVGI","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":"946559e31da732e38fbe96ba7d29e0ea6fa72174867295dd605229b86ad31dbd","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-16T22:28:09Z","title_canon_sha256":"a2d8e953ce35747b77d68916e4e01c49b4e7270edcc7474851fe2d207dc4803f"},"schema_version":"1.0","source":{"id":"2005.08118","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2005.08118","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"arxiv_version","alias_value":"2005.08118v1","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2005.08118","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"pith_short_12","alias_value":"4D5F77UKWNXD","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"pith_short_16","alias_value":"4D5F77UKWNXDDVRR","created_at":"2026-07-05T01:03:28Z"},{"alias_kind":"pith_short_8","alias_value":"4D5F77UK","created_at":"2026-07-05T01:03:28Z"}],"graph_snapshots":[{"event_id":"sha256:9759eb6bde7c00b50d44a90ac56f8a6177732eb59cfd14cc9cf52f51817ea6fc","target":"graph","created_at":"2026-07-05T01:03:28Z","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/2005.08118/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Only a handful of the world's languages are abundant with the resources that enable practical applications of speech processing technologies. One of the methods to overcome this problem is to use the resources existing in other languages to train a multilingual automatic speech recognition (ASR) model, which, intuitively, should learn some universal phonetic representations. In this work, we focus on gaining a deeper understanding of how general these representations might be, and how individual phones are getting improved in a multilingual setting. To that end, we select a phonetically divers","authors_text":"Laureano Moro-Vel\\'azquez, Mark Hasegawa-Johnson, Najim Dehak, Odette Scharenborg, Piotr \\.Zelasko","cross_cats":["cs.CL","cs.SD"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-16T22:28:09Z","title":"That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2005.08118","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":"sha256:25ff6aaf22df9fa392b2ff30f22cb5527583daeb49323c5d782a19c69b023b3c","target":"record","created_at":"2026-07-05T01:03:28Z","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":"946559e31da732e38fbe96ba7d29e0ea6fa72174867295dd605229b86ad31dbd","cross_cats_sorted":["cs.CL","cs.SD"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.AS","submitted_at":"2020-05-16T22:28:09Z","title_canon_sha256":"a2d8e953ce35747b77d68916e4e01c49b4e7270edcc7474851fe2d207dc4803f"},"schema_version":"1.0","source":{"id":"2005.08118","kind":"arxiv","version":1}},"canonical_sha256":"e0fa5ffe8ab36e31d631968ceb0695322cdf58348a921d28f4a91ce90ab33716","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0fa5ffe8ab36e31d631968ceb0695322cdf58348a921d28f4a91ce90ab33716","first_computed_at":"2026-07-05T01:03:28.326377Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:03:28.326377Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fUDip7xa6MoC6r8HShwWFmoTmOVfCGiYUoyyXHwG90WZxChdIryu/XUrmdXsok/scKpV9xAYOKGnoZMUWWHUCg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:03:28.327014Z","signed_message":"canonical_sha256_bytes"},"source_id":"2005.08118","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:25ff6aaf22df9fa392b2ff30f22cb5527583daeb49323c5d782a19c69b023b3c","sha256:9759eb6bde7c00b50d44a90ac56f8a6177732eb59cfd14cc9cf52f51817ea6fc"],"state_sha256":"063999cc0f883146ac4b64e68d432cc8a61ffcaf13778b5907bef4868ba35ce9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gS+eHkHHVH4WHCcRNdD+0JGLP0gpoerAiGu4ay/GMBF0oa5CVmVLc8yJaKZWK3k8ABhPPllnAePILpTjrwdcBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:30:30.025821Z","bundle_sha256":"c3318fe3206e61be6010482533f3dad89e569b500086dda636be1f943ef46723"}}