{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:KFYPPIWRMPHQRXPLRLOTOVYN3B","short_pith_number":"pith:KFYPPIWR","canonical_record":{"source":{"id":"2110.05909","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-12T11:40:05Z","cross_cats_sorted":[],"title_canon_sha256":"1e43549782e3e87bde8d555e2b54e3857353b5cac3e9c86e415b3f648eb8abe7","abstract_canon_sha256":"3e34e0241f0a367ccb2fa42587c16e076d9d9f6d81f9f78c56be470b3e5e3ff0"},"schema_version":"1.0"},"canonical_sha256":"5170f7a2d163cf08ddeb8add37570dd8705640a87174f058f695daf5f110a2b9","source":{"kind":"arxiv","id":"2110.05909","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.05909","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2110.05909v3","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.05909","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"KFYPPIWRMPHQ","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"KFYPPIWRMPHQRXPL","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"KFYPPIWR","created_at":"2026-07-05T04:09:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:KFYPPIWRMPHQRXPLRLOTOVYN3B","target":"record","payload":{"canonical_record":{"source":{"id":"2110.05909","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-12T11:40:05Z","cross_cats_sorted":[],"title_canon_sha256":"1e43549782e3e87bde8d555e2b54e3857353b5cac3e9c86e415b3f648eb8abe7","abstract_canon_sha256":"3e34e0241f0a367ccb2fa42587c16e076d9d9f6d81f9f78c56be470b3e5e3ff0"},"schema_version":"1.0"},"canonical_sha256":"5170f7a2d163cf08ddeb8add37570dd8705640a87174f058f695daf5f110a2b9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:09:15.760844Z","signature_b64":"K54aVFyFQ7gETpJFbCeQoBmH2JNbdMBjBxptE7+fWG423smAeU4vTKX423htPd21yl4U9z5TwT2RD+bS/po4AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5170f7a2d163cf08ddeb8add37570dd8705640a87174f058f695daf5f110a2b9","last_reissued_at":"2026-07-05T04:09:15.760395Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:09:15.760395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2110.05909","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:09:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bU6fDw73DS2kA1X7TAVZeBZYSFSjdUMkta63fTy7r69CTvJW6zXGERueCIfLrMEkqxfkDJZC+OdN+GvxvbsuCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:51:53.849951Z"},"content_sha256":"01259f53b062e1eefe7889235c70a1b80127dd740966b5d7bcd25782e1ce1827","schema_version":"1.0","event_id":"sha256:01259f53b062e1eefe7889235c70a1b80127dd740966b5d7bcd25782e1ce1827"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:KFYPPIWRMPHQRXPLRLOTOVYN3B","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Christoph Wick, Jochen Z\\\"ollner, Tobias Gr\\\"uning","submitted_at":"2021-10-12T11:40:05Z","abstract_excerpt":"In contrast to Connectionist Temporal Classification (CTC) approaches, Sequence-To-Sequence (S2S) models for Handwritten Text Recognition (HTR) suffer from errors such as skipped or repeated words which often occur at the end of a sequence. In this paper, to combine the best of both approaches, we propose to use the CTC-Prefix-Score during S2S decoding. Hereby, during beam search, paths that are invalid according to the CTC confidence matrix are penalised. Our network architecture is composed of a Convolutional Neural Network (CNN) as visual backbone, bidirectional Long-Short-Term-Memory-Cells"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.05909","kind":"arxiv","version":3},"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/2110.05909/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":"2026-07-05T04:09:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WEGHCtse33+RQY83YRg1NrStwxyMw/mJFirQHZicwmKRn0t0+1+bfMBnfYNWXW5Fm81WHEcSuZH0GO+JMyZLBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T11:51:53.850487Z"},"content_sha256":"847421911789d3aca6c0065704eea7be78d42b3479cfca51bd87d2efec8226cc","schema_version":"1.0","event_id":"sha256:847421911789d3aca6c0065704eea7be78d42b3479cfca51bd87d2efec8226cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B/bundle.json","state_url":"https://pith.science/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B/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":"2026-08-18T11:51:53Z","links":{"resolver":"https://pith.science/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B","bundle":"https://pith.science/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B/bundle.json","state":"https://pith.science/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KFYPPIWRMPHQRXPLRLOTOVYN3B/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:KFYPPIWRMPHQRXPLRLOTOVYN3B","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":"3e34e0241f0a367ccb2fa42587c16e076d9d9f6d81f9f78c56be470b3e5e3ff0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-12T11:40:05Z","title_canon_sha256":"1e43549782e3e87bde8d555e2b54e3857353b5cac3e9c86e415b3f648eb8abe7"},"schema_version":"1.0","source":{"id":"2110.05909","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2110.05909","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"arxiv_version","alias_value":"2110.05909v3","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2110.05909","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"pith_short_12","alias_value":"KFYPPIWRMPHQ","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"pith_short_16","alias_value":"KFYPPIWRMPHQRXPL","created_at":"2026-07-05T04:09:15Z"},{"alias_kind":"pith_short_8","alias_value":"KFYPPIWR","created_at":"2026-07-05T04:09:15Z"}],"graph_snapshots":[{"event_id":"sha256:847421911789d3aca6c0065704eea7be78d42b3479cfca51bd87d2efec8226cc","target":"graph","created_at":"2026-07-05T04:09:15Z","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/2110.05909/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In contrast to Connectionist Temporal Classification (CTC) approaches, Sequence-To-Sequence (S2S) models for Handwritten Text Recognition (HTR) suffer from errors such as skipped or repeated words which often occur at the end of a sequence. In this paper, to combine the best of both approaches, we propose to use the CTC-Prefix-Score during S2S decoding. Hereby, during beam search, paths that are invalid according to the CTC confidence matrix are penalised. Our network architecture is composed of a Convolutional Neural Network (CNN) as visual backbone, bidirectional Long-Short-Term-Memory-Cells","authors_text":"Christoph Wick, Jochen Z\\\"ollner, Tobias Gr\\\"uning","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-12T11:40:05Z","title":"Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2110.05909","kind":"arxiv","version":3},"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":"sha256:01259f53b062e1eefe7889235c70a1b80127dd740966b5d7bcd25782e1ce1827","target":"record","created_at":"2026-07-05T04:09:15Z","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":"3e34e0241f0a367ccb2fa42587c16e076d9d9f6d81f9f78c56be470b3e5e3ff0","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-10-12T11:40:05Z","title_canon_sha256":"1e43549782e3e87bde8d555e2b54e3857353b5cac3e9c86e415b3f648eb8abe7"},"schema_version":"1.0","source":{"id":"2110.05909","kind":"arxiv","version":3}},"canonical_sha256":"5170f7a2d163cf08ddeb8add37570dd8705640a87174f058f695daf5f110a2b9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5170f7a2d163cf08ddeb8add37570dd8705640a87174f058f695daf5f110a2b9","first_computed_at":"2026-07-05T04:09:15.760395Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:09:15.760395Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"K54aVFyFQ7gETpJFbCeQoBmH2JNbdMBjBxptE7+fWG423smAeU4vTKX423htPd21yl4U9z5TwT2RD+bS/po4AA==","signature_status":"signed_v1","signed_at":"2026-07-05T04:09:15.760844Z","signed_message":"canonical_sha256_bytes"},"source_id":"2110.05909","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01259f53b062e1eefe7889235c70a1b80127dd740966b5d7bcd25782e1ce1827","sha256:847421911789d3aca6c0065704eea7be78d42b3479cfca51bd87d2efec8226cc"],"state_sha256":"11e20ba56f80c829b084d9116fa26e16343920882e4b520ca126e7a4e5d93423"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"31INQHGBHtM+TCiNU0OvwqCW+lK4dIF/McxxHMYy3I7+ipy2Se11CDXykwKvkp66dzsjlRqxUnvYt55rMg9hCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T11:51:53.854802Z","bundle_sha256":"f135f7314355cc4105b042234e9b51a747cbc5806b7325f8dfa4ffbeb34b207a"}}