{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:BUGJEGG7M52CLLJM4NTERJEUJH","short_pith_number":"pith:BUGJEGG7","canonical_record":{"source":{"id":"1203.5262","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2012-03-23T14:51:05Z","cross_cats_sorted":[],"title_canon_sha256":"6944df7b254e260e6e30bc2d710ca87ff9c4f02af38d384e7cf73ace963fc280","abstract_canon_sha256":"0e9c2812df7b11c33aa7bd663e47281fc810d17125388679f7825e83f114774e"},"schema_version":"1.0"},"canonical_sha256":"0d0c9218df677425ad2ce36648a49449d95d581554e16188eb1824ad55d2ad40","source":{"kind":"arxiv","id":"1203.5262","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.5262","created_at":"2026-05-18T03:59:26Z"},{"alias_kind":"arxiv_version","alias_value":"1203.5262v1","created_at":"2026-05-18T03:59:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.5262","created_at":"2026-05-18T03:59:26Z"},{"alias_kind":"pith_short_12","alias_value":"BUGJEGG7M52C","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_16","alias_value":"BUGJEGG7M52CLLJM","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_8","alias_value":"BUGJEGG7","created_at":"2026-05-18T12:27:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:BUGJEGG7M52CLLJM4NTERJEUJH","target":"record","payload":{"canonical_record":{"source":{"id":"1203.5262","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2012-03-23T14:51:05Z","cross_cats_sorted":[],"title_canon_sha256":"6944df7b254e260e6e30bc2d710ca87ff9c4f02af38d384e7cf73ace963fc280","abstract_canon_sha256":"0e9c2812df7b11c33aa7bd663e47281fc810d17125388679f7825e83f114774e"},"schema_version":"1.0"},"canonical_sha256":"0d0c9218df677425ad2ce36648a49449d95d581554e16188eb1824ad55d2ad40","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:59:26.431932Z","signature_b64":"6eck0BA1SKAOFGhLPNVLq25/6OZrGXJDuhBvNGY1vcwfIgcwztWCHGp3xRgwv+i96RcJ6Gsdhvl60T0BzVvEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0d0c9218df677425ad2ce36648a49449d95d581554e16188eb1824ad55d2ad40","last_reissued_at":"2026-05-18T03:59:26.431092Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:59:26.431092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1203.5262","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":"2026-05-18T03:59:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VG76J6eOqkN+f5EKooNQfegRiHuowh5BuY/7wzOUJyCYPfS0a7Q4jmx15bO8jokXsjStf1Rg3VWgOdvzXhrMCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:58:52.905907Z"},"content_sha256":"b6d6e260ef09c620088d44b7df11da2939f86dcec07072dc2c7d872657b3e504","schema_version":"1.0","event_id":"sha256:b6d6e260ef09c620088d44b7df11da2939f86dcec07072dc2c7d872657b3e504"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:BUGJEGG7M52CLLJM4NTERJEUJH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"ASR Context-Sensitive Error Correction Based on Microsoft N-Gram Dataset","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Paul Semaan, Youssef Bassil","submitted_at":"2012-03-23T14:51:05Z","abstract_excerpt":"At the present time, computers are employed to solve complex tasks and problems ranging from simple calculations to intensive digital image processing and intricate algorithmic optimization problems to computationally-demanding weather forecasting problems. ASR short for Automatic Speech Recognition is yet another type of computational problem whose purpose is to recognize human spoken speech and convert it into text that can be processed by a computer. Despite that ASR has many versatile and pervasive real-world applications,it is still relatively erroneous and not perfectly solved as it is p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.5262","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":""},"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":"2026-05-18T03:59:26Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4KoN1NpHmkREOFIvbTUVEEV9Br1Umnan/YuTC+rxMw/iEUTJvHb4DJek1sy5oS7BVdVuTzyqh506zytPUnATDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:58:52.906295Z"},"content_sha256":"9d315aca48be2cd01b4134af94cf3683a97ac3a6f27532a7d061480915b6b874","schema_version":"1.0","event_id":"sha256:9d315aca48be2cd01b4134af94cf3683a97ac3a6f27532a7d061480915b6b874"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BUGJEGG7M52CLLJM4NTERJEUJH/bundle.json","state_url":"https://pith.science/pith/BUGJEGG7M52CLLJM4NTERJEUJH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BUGJEGG7M52CLLJM4NTERJEUJH/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":"2026-05-25T21:58:52Z","links":{"resolver":"https://pith.science/pith/BUGJEGG7M52CLLJM4NTERJEUJH","bundle":"https://pith.science/pith/BUGJEGG7M52CLLJM4NTERJEUJH/bundle.json","state":"https://pith.science/pith/BUGJEGG7M52CLLJM4NTERJEUJH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BUGJEGG7M52CLLJM4NTERJEUJH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:BUGJEGG7M52CLLJM4NTERJEUJH","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":"0e9c2812df7b11c33aa7bd663e47281fc810d17125388679f7825e83f114774e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2012-03-23T14:51:05Z","title_canon_sha256":"6944df7b254e260e6e30bc2d710ca87ff9c4f02af38d384e7cf73ace963fc280"},"schema_version":"1.0","source":{"id":"1203.5262","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1203.5262","created_at":"2026-05-18T03:59:26Z"},{"alias_kind":"arxiv_version","alias_value":"1203.5262v1","created_at":"2026-05-18T03:59:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.5262","created_at":"2026-05-18T03:59:26Z"},{"alias_kind":"pith_short_12","alias_value":"BUGJEGG7M52C","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_16","alias_value":"BUGJEGG7M52CLLJM","created_at":"2026-05-18T12:27:01Z"},{"alias_kind":"pith_short_8","alias_value":"BUGJEGG7","created_at":"2026-05-18T12:27:01Z"}],"graph_snapshots":[{"event_id":"sha256:9d315aca48be2cd01b4134af94cf3683a97ac3a6f27532a7d061480915b6b874","target":"graph","created_at":"2026-05-18T03:59:26Z","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"},"paper":{"abstract_excerpt":"At the present time, computers are employed to solve complex tasks and problems ranging from simple calculations to intensive digital image processing and intricate algorithmic optimization problems to computationally-demanding weather forecasting problems. ASR short for Automatic Speech Recognition is yet another type of computational problem whose purpose is to recognize human spoken speech and convert it into text that can be processed by a computer. Despite that ASR has many versatile and pervasive real-world applications,it is still relatively erroneous and not perfectly solved as it is p","authors_text":"Paul Semaan, Youssef Bassil","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2012-03-23T14:51:05Z","title":"ASR Context-Sensitive Error Correction Based on Microsoft N-Gram Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.5262","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:b6d6e260ef09c620088d44b7df11da2939f86dcec07072dc2c7d872657b3e504","target":"record","created_at":"2026-05-18T03:59:26Z","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":"0e9c2812df7b11c33aa7bd663e47281fc810d17125388679f7825e83f114774e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2012-03-23T14:51:05Z","title_canon_sha256":"6944df7b254e260e6e30bc2d710ca87ff9c4f02af38d384e7cf73ace963fc280"},"schema_version":"1.0","source":{"id":"1203.5262","kind":"arxiv","version":1}},"canonical_sha256":"0d0c9218df677425ad2ce36648a49449d95d581554e16188eb1824ad55d2ad40","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0d0c9218df677425ad2ce36648a49449d95d581554e16188eb1824ad55d2ad40","first_computed_at":"2026-05-18T03:59:26.431092Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:59:26.431092Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6eck0BA1SKAOFGhLPNVLq25/6OZrGXJDuhBvNGY1vcwfIgcwztWCHGp3xRgwv+i96RcJ6Gsdhvl60T0BzVvEDA==","signature_status":"signed_v1","signed_at":"2026-05-18T03:59:26.431932Z","signed_message":"canonical_sha256_bytes"},"source_id":"1203.5262","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b6d6e260ef09c620088d44b7df11da2939f86dcec07072dc2c7d872657b3e504","sha256:9d315aca48be2cd01b4134af94cf3683a97ac3a6f27532a7d061480915b6b874"],"state_sha256":"c0e954612d83997475437baea7c5470789ef58210245bdd37f8efa1e3585a32d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jQoMLTPY1FgmgkoKtcMoLeeIHFg7+Zrne0+b/VDjfBEcXY6CU5a8Pf44jV8g7NiHWHuCEyOcQq9zS5aaOHIaBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:58:52.908673Z","bundle_sha256":"e2a91f209e216571f9d02522742b92846fdb7d602e481c64dfd4531c5b17736b"}}