{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:RRQ4DZZOQOAPHQHB22HZE4SYJT","short_pith_number":"pith:RRQ4DZZO","canonical_record":{"source":{"id":"1906.09266","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-21T17:25:45Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9a6b9d9ab4c4076216db3b38f0122ff5fe56a6ea488ed0f89cd60b91d8d26a39","abstract_canon_sha256":"27e549fb01723659dcf1603aec88a32f4a8218d0f73f37821bf60da0064eb293"},"schema_version":"1.0"},"canonical_sha256":"8c61c1e72e8380f3c0e1d68f9272584cedc4412d8a6ab6e4511fafe4637c649f","source":{"kind":"arxiv","id":"1906.09266","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09266","created_at":"2026-05-17T23:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09266v1","created_at":"2026-05-17T23:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09266","created_at":"2026-05-17T23:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"RRQ4DZZOQOAP","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RRQ4DZZOQOAPHQHB","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RRQ4DZZO","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:RRQ4DZZOQOAPHQHB22HZE4SYJT","target":"record","payload":{"canonical_record":{"source":{"id":"1906.09266","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-21T17:25:45Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"9a6b9d9ab4c4076216db3b38f0122ff5fe56a6ea488ed0f89cd60b91d8d26a39","abstract_canon_sha256":"27e549fb01723659dcf1603aec88a32f4a8218d0f73f37821bf60da0064eb293"},"schema_version":"1.0"},"canonical_sha256":"8c61c1e72e8380f3c0e1d68f9272584cedc4412d8a6ab6e4511fafe4637c649f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:41.211623Z","signature_b64":"jwwa8pNfPsB24IbrvXKur5ufhBWtjSa3UEG8Wfc4NpVB3zes1z3YDvu28LthlrKKft7dDzlIJeHbMHsO/wZjBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8c61c1e72e8380f3c0e1d68f9272584cedc4412d8a6ab6e4511fafe4637c649f","last_reissued_at":"2026-05-17T23:42:41.210845Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:41.210845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.09266","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":"2026-05-17T23:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Yx6tlLvuTY5cQKKW7km0urJf5k1z9pChSScbuoYKQx81BoRdhhmS5wVuk785iKWUlinTkGfdFOfRbdBoDfC0Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:12:24.340249Z"},"content_sha256":"3fea076b7ea2a4dee5614b8d581f2cbec1b2cc700b84ccefd8b16ffc79e64e7f","schema_version":"1.0","event_id":"sha256:3fea076b7ea2a4dee5614b8d581f2cbec1b2cc700b84ccefd8b16ffc79e64e7f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:RRQ4DZZOQOAPHQHB22HZE4SYJT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Multitask Network for Localization and Recognition of Text in Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.CL","authors_text":"Keegan E. Hines, Mohammad Reza Sarshogh","submitted_at":"2019-06-21T17:25:45Z","abstract_excerpt":"We present an end-to-end trainable multi-task network that addresses the problem of lexicon-free text extraction from complex documents. This network simultaneously solves the problems of text localization and text recognition and text segments are identified with no post-processing, cropping, or word grouping. A convolutional backbone and Feature Pyramid Network are combined to provide a shared representation that benefits each of three model heads: text localization, classification, and text recognition. To improve recognition accuracy, we describe a dynamic pooling mechanism that retains hi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09266","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":"2026-05-17T23:42:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ejVgeVGGc599txmsejhNvwQ6OosXffyfmTc5DuAEXVln5kiaTCyFIyeCuB6At2WXa8gd712py1Ivp0wVc4DXBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T04:12:24.340882Z"},"content_sha256":"5b5325c7373d43234b4d808f4483ace11d68745e7e3e045884ed9b167e746e2d","schema_version":"1.0","event_id":"sha256:5b5325c7373d43234b4d808f4483ace11d68745e7e3e045884ed9b167e746e2d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT/bundle.json","state_url":"https://pith.science/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT/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":"2026-05-27T04:12:24Z","links":{"resolver":"https://pith.science/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT","bundle":"https://pith.science/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT/bundle.json","state":"https://pith.science/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RRQ4DZZOQOAPHQHB22HZE4SYJT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:RRQ4DZZOQOAPHQHB22HZE4SYJT","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":"27e549fb01723659dcf1603aec88a32f4a8218d0f73f37821bf60da0064eb293","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-21T17:25:45Z","title_canon_sha256":"9a6b9d9ab4c4076216db3b38f0122ff5fe56a6ea488ed0f89cd60b91d8d26a39"},"schema_version":"1.0","source":{"id":"1906.09266","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.09266","created_at":"2026-05-17T23:42:41Z"},{"alias_kind":"arxiv_version","alias_value":"1906.09266v1","created_at":"2026-05-17T23:42:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.09266","created_at":"2026-05-17T23:42:41Z"},{"alias_kind":"pith_short_12","alias_value":"RRQ4DZZOQOAP","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"RRQ4DZZOQOAPHQHB","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"RRQ4DZZO","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:5b5325c7373d43234b4d808f4483ace11d68745e7e3e045884ed9b167e746e2d","target":"graph","created_at":"2026-05-17T23:42:41Z","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 end-to-end trainable multi-task network that addresses the problem of lexicon-free text extraction from complex documents. This network simultaneously solves the problems of text localization and text recognition and text segments are identified with no post-processing, cropping, or word grouping. A convolutional backbone and Feature Pyramid Network are combined to provide a shared representation that benefits each of three model heads: text localization, classification, and text recognition. To improve recognition accuracy, we describe a dynamic pooling mechanism that retains hi","authors_text":"Keegan E. Hines, Mohammad Reza Sarshogh","cross_cats":["cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-21T17:25:45Z","title":"A Multitask Network for Localization and Recognition of Text in Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.09266","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":"sha256:3fea076b7ea2a4dee5614b8d581f2cbec1b2cc700b84ccefd8b16ffc79e64e7f","target":"record","created_at":"2026-05-17T23:42:41Z","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":"27e549fb01723659dcf1603aec88a32f4a8218d0f73f37821bf60da0064eb293","cross_cats_sorted":["cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2019-06-21T17:25:45Z","title_canon_sha256":"9a6b9d9ab4c4076216db3b38f0122ff5fe56a6ea488ed0f89cd60b91d8d26a39"},"schema_version":"1.0","source":{"id":"1906.09266","kind":"arxiv","version":1}},"canonical_sha256":"8c61c1e72e8380f3c0e1d68f9272584cedc4412d8a6ab6e4511fafe4637c649f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8c61c1e72e8380f3c0e1d68f9272584cedc4412d8a6ab6e4511fafe4637c649f","first_computed_at":"2026-05-17T23:42:41.210845Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:41.210845Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jwwa8pNfPsB24IbrvXKur5ufhBWtjSa3UEG8Wfc4NpVB3zes1z3YDvu28LthlrKKft7dDzlIJeHbMHsO/wZjBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:41.211623Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.09266","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fea076b7ea2a4dee5614b8d581f2cbec1b2cc700b84ccefd8b16ffc79e64e7f","sha256:5b5325c7373d43234b4d808f4483ace11d68745e7e3e045884ed9b167e746e2d"],"state_sha256":"f171093abe9e02676bf0c44c65550d21c5763e2e2dbe464fbbed42bae06fe4a9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"klhEyohEBw5+KpEywgR8B54l0GBN1tAdITc0916NFuoGq7gm8hb4M+02nDMsAG2aDvGJswaop+BW5zhXcJ7UAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T04:12:24.344347Z","bundle_sha256":"f34c72a4dc1be97c2e5733ef51ff2eb74602822dc95ce279954692a24c4959e6"}}