{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:C3WCGOIJF5MQUVF7XDY2MWTKJJ","short_pith_number":"pith:C3WCGOIJ","canonical_record":{"source":{"id":"2410.07400","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:57:07Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"01ede3b2e6a2e78f97813271f1d89fed7bb9c4edc3e7abdc91e370b3b6e3be5a","abstract_canon_sha256":"87b405cc0b88f7649584c5844ddefed453a109b34f3f488923d7eb3b198da9d6"},"schema_version":"1.0"},"canonical_sha256":"16ec2339092f590a54bfb8f1a65a6a4a5ec58bde9719cea0b281e5b4a097d22a","source":{"kind":"arxiv","id":"2410.07400","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07400","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07400v2","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07400","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_12","alias_value":"C3WCGOIJF5MQ","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_16","alias_value":"C3WCGOIJF5MQUVF7","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_8","alias_value":"C3WCGOIJ","created_at":"2026-07-05T09:22:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:C3WCGOIJF5MQUVF7XDY2MWTKJJ","target":"record","payload":{"canonical_record":{"source":{"id":"2410.07400","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:57:07Z","cross_cats_sorted":["cs.SD","eess.AS"],"title_canon_sha256":"01ede3b2e6a2e78f97813271f1d89fed7bb9c4edc3e7abdc91e370b3b6e3be5a","abstract_canon_sha256":"87b405cc0b88f7649584c5844ddefed453a109b34f3f488923d7eb3b198da9d6"},"schema_version":"1.0"},"canonical_sha256":"16ec2339092f590a54bfb8f1a65a6a4a5ec58bde9719cea0b281e5b4a097d22a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:22:22.535972Z","signature_b64":"lGWwmRpoVg3xWLMqo/ydahtQdHAqepyvJk+6+quBpirjzrtGh1/kBLrVTJZsd+ZFxIhYgxE/jdCng1jWUrZ9Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"16ec2339092f590a54bfb8f1a65a6a4a5ec58bde9719cea0b281e5b4a097d22a","last_reissued_at":"2026-07-05T09:22:22.535510Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:22:22.535510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.07400","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:22:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aj+ee3quMbrkEZf0mpASIqlUIlmWhEYAaljW9d0GYlZyXvCGdt8Su+49mrQU4fu0f41XUQ712wHZB46GD2auBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:55:29.985603Z"},"content_sha256":"3705e45d776fd7e91d76e9593fad1d1a7e95de1a1b8ad3064c9a7fdf37700169","schema_version":"1.0","event_id":"sha256:3705e45d776fd7e91d76e9593fad1d1a7e95de1a1b8ad3064c9a7fdf37700169"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:C3WCGOIJF5MQUVF7XDY2MWTKJJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Advocating Character Error Rate for Multilingual ASR Evaluation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SD","eess.AS"],"primary_cat":"cs.CL","authors_text":"Deepa P Gopinath, Jesin James, Muhammed Ashraf K, Thennal D K","submitted_at":"2024-10-09T19:57:07Z","abstract_excerpt":"Automatic speech recognition (ASR) systems have traditionally been evaluated using English datasets, with the word error rate (WER) serving as the predominant metric. WER's simplicity and ease of interpretation have contributed to its widespread adoption, particularly for English. However, as ASR systems expand to multilingual contexts, WER fails in various ways, particularly with morphologically complex languages or those without clear word boundaries. Our work documents the limitations of WER as an evaluation metric and advocates for the character error rate (CER) as the primary metric in mu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07400","kind":"arxiv","version":2},"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/2410.07400/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":"2026-07-05T09:22:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eylLYYjEaYIHgBu2c68CLr7fcPQcerBvB/zFjcFrJ8CLu+cWEOFCd33lhim2/3acRwcPx6fCegVHSs33Du/uBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T00:55:29.986157Z"},"content_sha256":"90b433d97690384f3eaa2d0449e59d3e3c6720948adf4f5b1b4377b141fe148c","schema_version":"1.0","event_id":"sha256:90b433d97690384f3eaa2d0449e59d3e3c6720948adf4f5b1b4377b141fe148c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ/bundle.json","state_url":"https://pith.science/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ/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":"2026-08-10T00:55:29Z","links":{"resolver":"https://pith.science/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ","bundle":"https://pith.science/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ/bundle.json","state":"https://pith.science/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/C3WCGOIJF5MQUVF7XDY2MWTKJJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:C3WCGOIJF5MQUVF7XDY2MWTKJJ","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":"87b405cc0b88f7649584c5844ddefed453a109b34f3f488923d7eb3b198da9d6","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:57:07Z","title_canon_sha256":"01ede3b2e6a2e78f97813271f1d89fed7bb9c4edc3e7abdc91e370b3b6e3be5a"},"schema_version":"1.0","source":{"id":"2410.07400","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.07400","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"arxiv_version","alias_value":"2410.07400v2","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.07400","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_12","alias_value":"C3WCGOIJF5MQ","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_16","alias_value":"C3WCGOIJF5MQUVF7","created_at":"2026-07-05T09:22:22Z"},{"alias_kind":"pith_short_8","alias_value":"C3WCGOIJ","created_at":"2026-07-05T09:22:22Z"}],"graph_snapshots":[{"event_id":"sha256:90b433d97690384f3eaa2d0449e59d3e3c6720948adf4f5b1b4377b141fe148c","target":"graph","created_at":"2026-07-05T09:22:22Z","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/2410.07400/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic speech recognition (ASR) systems have traditionally been evaluated using English datasets, with the word error rate (WER) serving as the predominant metric. WER's simplicity and ease of interpretation have contributed to its widespread adoption, particularly for English. However, as ASR systems expand to multilingual contexts, WER fails in various ways, particularly with morphologically complex languages or those without clear word boundaries. Our work documents the limitations of WER as an evaluation metric and advocates for the character error rate (CER) as the primary metric in mu","authors_text":"Deepa P Gopinath, Jesin James, Muhammed Ashraf K, Thennal D K","cross_cats":["cs.SD","eess.AS"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:57:07Z","title":"Advocating Character Error Rate for Multilingual ASR Evaluation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.07400","kind":"arxiv","version":2},"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":"sha256:3705e45d776fd7e91d76e9593fad1d1a7e95de1a1b8ad3064c9a7fdf37700169","target":"record","created_at":"2026-07-05T09:22:22Z","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":"87b405cc0b88f7649584c5844ddefed453a109b34f3f488923d7eb3b198da9d6","cross_cats_sorted":["cs.SD","eess.AS"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-10-09T19:57:07Z","title_canon_sha256":"01ede3b2e6a2e78f97813271f1d89fed7bb9c4edc3e7abdc91e370b3b6e3be5a"},"schema_version":"1.0","source":{"id":"2410.07400","kind":"arxiv","version":2}},"canonical_sha256":"16ec2339092f590a54bfb8f1a65a6a4a5ec58bde9719cea0b281e5b4a097d22a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"16ec2339092f590a54bfb8f1a65a6a4a5ec58bde9719cea0b281e5b4a097d22a","first_computed_at":"2026-07-05T09:22:22.535510Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:22:22.535510Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lGWwmRpoVg3xWLMqo/ydahtQdHAqepyvJk+6+quBpirjzrtGh1/kBLrVTJZsd+ZFxIhYgxE/jdCng1jWUrZ9Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:22:22.535972Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.07400","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3705e45d776fd7e91d76e9593fad1d1a7e95de1a1b8ad3064c9a7fdf37700169","sha256:90b433d97690384f3eaa2d0449e59d3e3c6720948adf4f5b1b4377b141fe148c"],"state_sha256":"9955693b0613d8571920f6996b45ad27548f3baf8d966262c11dd16f2a476bba"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JEUaYRsTcCgZLQ7RUj6fzt1p9n7Rz88uV6EK1IIpExOJdxglkO84Vzp8Z5gSCtwHtY+M1MMYDaV4yEKxd9m8Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T00:55:29.992037Z","bundle_sha256":"8f3a0c21afe0618b568abb66a58ad7c05e3a111b2f039e3cb4bf62c930c739d2"}}