{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:T2LXKVQ7DBOXFICU2VJWK2DKAQ","short_pith_number":"pith:T2LXKVQ7","canonical_record":{"source":{"id":"2605.28438","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T13:04:10Z","cross_cats_sorted":[],"title_canon_sha256":"64f3fc049723c1036e67b358eeb5cb6b16a712f5d2a7967679bbdd684054ce24","abstract_canon_sha256":"d98b6f119f5c8fc025fdde9262c3d85f62e0a50d4851ea50ffb8046f238073d3"},"schema_version":"1.0"},"canonical_sha256":"9e9775561f185d72a054d55365686a0423863717f4d7782bd828fda09fab4ee0","source":{"kind":"arxiv","id":"2605.28438","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28438","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28438v1","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28438","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"pith_short_12","alias_value":"T2LXKVQ7DBOX","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"pith_short_16","alias_value":"T2LXKVQ7DBOXFICU","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"pith_short_8","alias_value":"T2LXKVQ7","created_at":"2026-05-28T01:05:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:T2LXKVQ7DBOXFICU2VJWK2DKAQ","target":"record","payload":{"canonical_record":{"source":{"id":"2605.28438","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T13:04:10Z","cross_cats_sorted":[],"title_canon_sha256":"64f3fc049723c1036e67b358eeb5cb6b16a712f5d2a7967679bbdd684054ce24","abstract_canon_sha256":"d98b6f119f5c8fc025fdde9262c3d85f62e0a50d4851ea50ffb8046f238073d3"},"schema_version":"1.0"},"canonical_sha256":"9e9775561f185d72a054d55365686a0423863717f4d7782bd828fda09fab4ee0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:05:18.134752Z","signature_b64":"9o8duBS05e30y6QMicv9bE8+GyrKesbUJiT/LiUCx1ey1kEXTyRETavFBp42+2nCBO5iLs71hagw4ickRl6ICA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9e9775561f185d72a054d55365686a0423863717f4d7782bd828fda09fab4ee0","last_reissued_at":"2026-05-28T01:05:18.134300Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:05:18.134300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.28438","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":"2026-05-28T01:05:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3yJW2JVRymRzGMF1ALAPYjBRAFAOXGHmrnsr/xrGAA8ZP7smiU/TsIe6U6vkE+dTsQzxcZq4mvx8XGnhVh+5BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T04:04:15.854031Z"},"content_sha256":"39f98e4a424d441d491d1536e9e52f175a388ac6821dcd20c9686bbddccd7a36","schema_version":"1.0","event_id":"sha256:39f98e4a424d441d491d1536e9e52f175a388ac6821dcd20c9686bbddccd7a36"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:T2LXKVQ7DBOXFICU2VJWK2DKAQ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Breaking the Script Barrier: Enabling Automatic Alignment for PoS-based ASR Error Analysis in Non-Latin Scripts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Dahlia Devapriya, Prasenjit K Mudi, Sheetal Kalyani","submitted_at":"2026-05-27T13:04:10Z","abstract_excerpt":"Automatic Speech Recognition (ASR) systems are commonly evaluated using aggregate metrics such as Word Error Rate (WER), which do not capture the linguistic structure of errors. Fine-grained analysis, such as Part-of-Speech (PoS)-wise error characterization, requires accurate alignment between ASR hypotheses and reference transcriptions. However, existing alignment tools are often unreliable for languages written in non-Latin scripts. In this work, we address this gap by proposing a robust, automated, language-agnostic alignment mechanism applicable across ASR architectures and across language"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28438","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/2605.28438/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":"2026-05-28T01:05:18Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/s2rYJ8Fr22UOSDL1MxCy6/R2jrwfERU0HRp35uF5D7gpB/cUMYwCjVK2kcj+koAFQqh67Hk51tZ8/UqfzsOCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T04:04:15.854412Z"},"content_sha256":"4b5578ca7f915afe3803806e0950254145d6a976a8bbdf9a2b85fe0603a0d2ce","schema_version":"1.0","event_id":"sha256:4b5578ca7f915afe3803806e0950254145d6a976a8bbdf9a2b85fe0603a0d2ce"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ/bundle.json","state_url":"https://pith.science/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ/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":"2026-06-20T04:04:15Z","links":{"resolver":"https://pith.science/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ","bundle":"https://pith.science/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ/bundle.json","state":"https://pith.science/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/T2LXKVQ7DBOXFICU2VJWK2DKAQ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:T2LXKVQ7DBOXFICU2VJWK2DKAQ","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":"d98b6f119f5c8fc025fdde9262c3d85f62e0a50d4851ea50ffb8046f238073d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T13:04:10Z","title_canon_sha256":"64f3fc049723c1036e67b358eeb5cb6b16a712f5d2a7967679bbdd684054ce24"},"schema_version":"1.0","source":{"id":"2605.28438","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28438","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28438v1","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28438","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"pith_short_12","alias_value":"T2LXKVQ7DBOX","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"pith_short_16","alias_value":"T2LXKVQ7DBOXFICU","created_at":"2026-05-28T01:05:18Z"},{"alias_kind":"pith_short_8","alias_value":"T2LXKVQ7","created_at":"2026-05-28T01:05:18Z"}],"graph_snapshots":[{"event_id":"sha256:4b5578ca7f915afe3803806e0950254145d6a976a8bbdf9a2b85fe0603a0d2ce","target":"graph","created_at":"2026-05-28T01:05:18Z","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/2605.28438/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Automatic Speech Recognition (ASR) systems are commonly evaluated using aggregate metrics such as Word Error Rate (WER), which do not capture the linguistic structure of errors. Fine-grained analysis, such as Part-of-Speech (PoS)-wise error characterization, requires accurate alignment between ASR hypotheses and reference transcriptions. However, existing alignment tools are often unreliable for languages written in non-Latin scripts. In this work, we address this gap by proposing a robust, automated, language-agnostic alignment mechanism applicable across ASR architectures and across language","authors_text":"Dahlia Devapriya, Prasenjit K Mudi, Sheetal Kalyani","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T13:04:10Z","title":"Breaking the Script Barrier: Enabling Automatic Alignment for PoS-based ASR Error Analysis in Non-Latin Scripts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28438","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":"sha256:39f98e4a424d441d491d1536e9e52f175a388ac6821dcd20c9686bbddccd7a36","target":"record","created_at":"2026-05-28T01:05:18Z","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":"d98b6f119f5c8fc025fdde9262c3d85f62e0a50d4851ea50ffb8046f238073d3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T13:04:10Z","title_canon_sha256":"64f3fc049723c1036e67b358eeb5cb6b16a712f5d2a7967679bbdd684054ce24"},"schema_version":"1.0","source":{"id":"2605.28438","kind":"arxiv","version":1}},"canonical_sha256":"9e9775561f185d72a054d55365686a0423863717f4d7782bd828fda09fab4ee0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9e9775561f185d72a054d55365686a0423863717f4d7782bd828fda09fab4ee0","first_computed_at":"2026-05-28T01:05:18.134300Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:18.134300Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9o8duBS05e30y6QMicv9bE8+GyrKesbUJiT/LiUCx1ey1kEXTyRETavFBp42+2nCBO5iLs71hagw4ickRl6ICA==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:18.134752Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28438","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:39f98e4a424d441d491d1536e9e52f175a388ac6821dcd20c9686bbddccd7a36","sha256:4b5578ca7f915afe3803806e0950254145d6a976a8bbdf9a2b85fe0603a0d2ce"],"state_sha256":"afe2c4949c8b9d2365bfcf77a09b97913beec6c7fa414420465b5559b5a76072"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5/JUQvu7eWD87w6/ym1PJrnp6oKjZu34AR8Bln0yV1tB6YVKMjM++uS1xDhhs59oril3xB+M+hkzHmgHWTJ0Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T04:04:15.856473Z","bundle_sha256":"f9cd942f6819dcc04e5dafa975f0820b865540ba8a593468bef61abdf5c6e0d1"}}