{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:IRDATP7PWQRHEXQLHM6V622I3A","short_pith_number":"pith:IRDATP7P","canonical_record":{"source":{"id":"1604.03286","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-12T08:11:20Z","cross_cats_sorted":[],"title_canon_sha256":"101f365e30c5eea2cde4bc7d57ef05ff6cfb41edb1dd7cf2f58d6228cef5d078","abstract_canon_sha256":"622390ce07f6b092124aea56ccf05b13e0eed4a5a0f02038d3c484038ffa2570"},"schema_version":"1.0"},"canonical_sha256":"444609bfefb422725e0b3b3d5f6b48d8074867a6c98923ec4b944305fe6a315a","source":{"kind":"arxiv","id":"1604.03286","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.03286","created_at":"2026-05-18T01:08:17Z"},{"alias_kind":"arxiv_version","alias_value":"1604.03286v3","created_at":"2026-05-18T01:08:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.03286","created_at":"2026-05-18T01:08:17Z"},{"alias_kind":"pith_short_12","alias_value":"IRDATP7PWQRH","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IRDATP7PWQRHEXQL","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IRDATP7P","created_at":"2026-05-18T12:30:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:IRDATP7PWQRHEXQLHM6V622I3A","target":"record","payload":{"canonical_record":{"source":{"id":"1604.03286","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-12T08:11:20Z","cross_cats_sorted":[],"title_canon_sha256":"101f365e30c5eea2cde4bc7d57ef05ff6cfb41edb1dd7cf2f58d6228cef5d078","abstract_canon_sha256":"622390ce07f6b092124aea56ccf05b13e0eed4a5a0f02038d3c484038ffa2570"},"schema_version":"1.0"},"canonical_sha256":"444609bfefb422725e0b3b3d5f6b48d8074867a6c98923ec4b944305fe6a315a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:17.707607Z","signature_b64":"fnuvR6M3liwLPf6cbUXxoeKQl0qauJlZhTXZ0w6YViUTMTeVetZ29D7qXRBZKse4bd5ruXkjc6TBpY/Hx6MmAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"444609bfefb422725e0b3b3d5f6b48d8074867a6c98923ec4b944305fe6a315a","last_reissued_at":"2026-05-18T01:08:17.706931Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:17.706931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.03286","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":"2026-05-18T01:08:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"j6dPScJdZyFQB9m/bpL1jhb5rGj7wbehis54GWamwL7+OL4uJfhmw2QIQa0mSJIq2QRa5BOHejMkFQ6l8oLuAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T16:30:54.205610Z"},"content_sha256":"95a42fdb163bd9c4d99d89498a047607e2a372d4f1381dd2e73a36ed2b4ae46c","schema_version":"1.0","event_id":"sha256:95a42fdb163bd9c4d99d89498a047607e2a372d4f1381dd2e73a36ed2b4ae46c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:IRDATP7PWQRHEXQLHM6V622I3A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"J\\'er\\^ome Louradour, Ronaldo Messina, Th\\'eodore Bluche","submitted_at":"2016-04-12T08:11:20Z","abstract_excerpt":"We present an attention-based model for end-to-end handwriting recognition. Our system does not require any segmentation of the input paragraph. The model is inspired by the differentiable attention models presented recently for speech recognition, image captioning or translation. The main difference is the covert and overt attention, implemented as a multi-dimensional LSTM network. Our principal contribution towards handwriting recognition lies in the automatic transcription without a prior segmentation into lines, which was crucial in previous approaches. To the best of our knowledge this is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.03286","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":""},"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":"2026-05-18T01:08:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"90XmMPlBsXqRFuPL02Dc6haYvY1CZjk2kti7eTpAn13SHlTjKCqkktwqScfiSHr6xXeBZB6BG8K5JgUpe50hCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T16:30:54.206341Z"},"content_sha256":"ba109d39cd949db7a99cba1c962b69eca0ca988681be090ce70459174dcab7ff","schema_version":"1.0","event_id":"sha256:ba109d39cd949db7a99cba1c962b69eca0ca988681be090ce70459174dcab7ff"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/IRDATP7PWQRHEXQLHM6V622I3A/bundle.json","state_url":"https://pith.science/pith/IRDATP7PWQRHEXQLHM6V622I3A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/IRDATP7PWQRHEXQLHM6V622I3A/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":"2026-05-31T16:30:54Z","links":{"resolver":"https://pith.science/pith/IRDATP7PWQRHEXQLHM6V622I3A","bundle":"https://pith.science/pith/IRDATP7PWQRHEXQLHM6V622I3A/bundle.json","state":"https://pith.science/pith/IRDATP7PWQRHEXQLHM6V622I3A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/IRDATP7PWQRHEXQLHM6V622I3A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:IRDATP7PWQRHEXQLHM6V622I3A","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":"622390ce07f6b092124aea56ccf05b13e0eed4a5a0f02038d3c484038ffa2570","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-12T08:11:20Z","title_canon_sha256":"101f365e30c5eea2cde4bc7d57ef05ff6cfb41edb1dd7cf2f58d6228cef5d078"},"schema_version":"1.0","source":{"id":"1604.03286","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.03286","created_at":"2026-05-18T01:08:17Z"},{"alias_kind":"arxiv_version","alias_value":"1604.03286v3","created_at":"2026-05-18T01:08:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.03286","created_at":"2026-05-18T01:08:17Z"},{"alias_kind":"pith_short_12","alias_value":"IRDATP7PWQRH","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_16","alias_value":"IRDATP7PWQRHEXQL","created_at":"2026-05-18T12:30:22Z"},{"alias_kind":"pith_short_8","alias_value":"IRDATP7P","created_at":"2026-05-18T12:30:22Z"}],"graph_snapshots":[{"event_id":"sha256:ba109d39cd949db7a99cba1c962b69eca0ca988681be090ce70459174dcab7ff","target":"graph","created_at":"2026-05-18T01:08:17Z","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":"We present an attention-based model for end-to-end handwriting recognition. Our system does not require any segmentation of the input paragraph. The model is inspired by the differentiable attention models presented recently for speech recognition, image captioning or translation. The main difference is the covert and overt attention, implemented as a multi-dimensional LSTM network. Our principal contribution towards handwriting recognition lies in the automatic transcription without a prior segmentation into lines, which was crucial in previous approaches. To the best of our knowledge this is","authors_text":"J\\'er\\^ome Louradour, Ronaldo Messina, Th\\'eodore Bluche","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-12T08:11:20Z","title":"Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.03286","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":"sha256:95a42fdb163bd9c4d99d89498a047607e2a372d4f1381dd2e73a36ed2b4ae46c","target":"record","created_at":"2026-05-18T01:08:17Z","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":"622390ce07f6b092124aea56ccf05b13e0eed4a5a0f02038d3c484038ffa2570","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-12T08:11:20Z","title_canon_sha256":"101f365e30c5eea2cde4bc7d57ef05ff6cfb41edb1dd7cf2f58d6228cef5d078"},"schema_version":"1.0","source":{"id":"1604.03286","kind":"arxiv","version":3}},"canonical_sha256":"444609bfefb422725e0b3b3d5f6b48d8074867a6c98923ec4b944305fe6a315a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"444609bfefb422725e0b3b3d5f6b48d8074867a6c98923ec4b944305fe6a315a","first_computed_at":"2026-05-18T01:08:17.706931Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:17.706931Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"fnuvR6M3liwLPf6cbUXxoeKQl0qauJlZhTXZ0w6YViUTMTeVetZ29D7qXRBZKse4bd5ruXkjc6TBpY/Hx6MmAg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:17.707607Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.03286","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:95a42fdb163bd9c4d99d89498a047607e2a372d4f1381dd2e73a36ed2b4ae46c","sha256:ba109d39cd949db7a99cba1c962b69eca0ca988681be090ce70459174dcab7ff"],"state_sha256":"8738f8c3a0673ba754f5199d2e5102754ed02afc5a7dbe78fac54765a08a53a7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"50ITqi7dMVKXg/dxeKlIH1XEGR5Fq3KsB8DsQ/PVv8b/ZQnrIOIoCoZRVN3P7tFyga/kJuMTy0Syby7UZNMzCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T16:30:54.210609Z","bundle_sha256":"8177b88e9067609edf9755711c5ff89bf32fba55f8845ae29aaea3418c57347d"}}