{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:5V6EQOHDROWYZLUEFLSZMLLWLJ","short_pith_number":"pith:5V6EQOHD","canonical_record":{"source":{"id":"2102.09550","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-18T18:51:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b2cc4dd5981a3d93be9d3c5e5c58f614ddd1947df497e6ac30d64587789211f6","abstract_canon_sha256":"f967f810aff1cdf523e358452007114c461633b19cda63873e09f25ae3fbcd74"},"schema_version":"1.0"},"canonical_sha256":"ed7c4838e38bad8cae842ae5962d765a4592a418061efc759057252fb05dde6e","source":{"kind":"arxiv","id":"2102.09550","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.09550","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"arxiv_version","alias_value":"2102.09550v3","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.09550","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"pith_short_12","alias_value":"5V6EQOHDROWY","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"pith_short_16","alias_value":"5V6EQOHDROWYZLUE","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"pith_short_8","alias_value":"5V6EQOHD","created_at":"2026-07-05T02:56:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:5V6EQOHDROWYZLUEFLSZMLLWLJ","target":"record","payload":{"canonical_record":{"source":{"id":"2102.09550","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-18T18:51:47Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"b2cc4dd5981a3d93be9d3c5e5c58f614ddd1947df497e6ac30d64587789211f6","abstract_canon_sha256":"f967f810aff1cdf523e358452007114c461633b19cda63873e09f25ae3fbcd74"},"schema_version":"1.0"},"canonical_sha256":"ed7c4838e38bad8cae842ae5962d765a4592a418061efc759057252fb05dde6e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:56:56.799963Z","signature_b64":"QhNDg1gu5+eWz0rFJqoUYmu6nxwW2ikDK7+edhpFNqi4R7fvVCC6FLDVONyDDaszepX717hP/0Lk3S9AdroiAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ed7c4838e38bad8cae842ae5962d765a4592a418061efc759057252fb05dde6e","last_reissued_at":"2026-07-05T02:56:56.799499Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:56:56.799499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.09550","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":"2026-07-05T02:56:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TygpURB7/mmnbp31DrqZ4D5S4yEtN2ugibSkLGkzF7BXwObzye9QrQ+va60LHvZ1Ph/yTsmBeRzfVmRuiSAODw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:44:54.454427Z"},"content_sha256":"e1236f95e7e6d7f68415bcad8fb3eaf1094ea0a4fc7c14431a0bd3fb7189a204","schema_version":"1.0","event_id":"sha256:e1236f95e7e6d7f68415bcad8fb3eaf1094ea0a4fc7c14431a0bd3fb7189a204"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:5V6EQOHDROWYZLUEFLSZMLLWLJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Dawid Jurkiewicz, Gabriela Pa{\\l}ka, {\\L}ukasz Borchmann, Micha{\\l} Pietruszka, Rafa{\\l} Powalski, Tomasz Dwojak","submitted_at":"2021-02-18T18:51:47Z","abstract_excerpt":"We address the challenging problem of Natural Language Comprehension beyond plain-text documents by introducing the TILT neural network architecture which simultaneously learns layout information, visual features, and textual semantics. Contrary to previous approaches, we rely on a decoder capable of unifying a variety of problems involving natural language. The layout is represented as an attention bias and complemented with contextualized visual information, while the core of our model is a pretrained encoder-decoder Transformer. Our novel approach achieves state-of-the-art results in extrac"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.09550","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/2102.09550/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":"2026-07-05T02:56:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3N2nvwvanIUkd+mKRjXVC+kE2QKWvdtnM9GUmvErGF7rvnpJWjDn1CNjgUUrH2da9vaY6j3lZehOascOf7hmDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T05:44:54.454937Z"},"content_sha256":"2564401568bda93795a38ef53bd6547a7bd6d97292f6a3340550757a8712c365","schema_version":"1.0","event_id":"sha256:2564401568bda93795a38ef53bd6547a7bd6d97292f6a3340550757a8712c365"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ/bundle.json","state_url":"https://pith.science/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ/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":"2026-08-10T05:44:54Z","links":{"resolver":"https://pith.science/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ","bundle":"https://pith.science/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ/bundle.json","state":"https://pith.science/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5V6EQOHDROWYZLUEFLSZMLLWLJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:5V6EQOHDROWYZLUEFLSZMLLWLJ","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":"f967f810aff1cdf523e358452007114c461633b19cda63873e09f25ae3fbcd74","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-18T18:51:47Z","title_canon_sha256":"b2cc4dd5981a3d93be9d3c5e5c58f614ddd1947df497e6ac30d64587789211f6"},"schema_version":"1.0","source":{"id":"2102.09550","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.09550","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"arxiv_version","alias_value":"2102.09550v3","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.09550","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"pith_short_12","alias_value":"5V6EQOHDROWY","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"pith_short_16","alias_value":"5V6EQOHDROWYZLUE","created_at":"2026-07-05T02:56:56Z"},{"alias_kind":"pith_short_8","alias_value":"5V6EQOHD","created_at":"2026-07-05T02:56:56Z"}],"graph_snapshots":[{"event_id":"sha256:2564401568bda93795a38ef53bd6547a7bd6d97292f6a3340550757a8712c365","target":"graph","created_at":"2026-07-05T02:56:56Z","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/2102.09550/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We address the challenging problem of Natural Language Comprehension beyond plain-text documents by introducing the TILT neural network architecture which simultaneously learns layout information, visual features, and textual semantics. Contrary to previous approaches, we rely on a decoder capable of unifying a variety of problems involving natural language. The layout is represented as an attention bias and complemented with contextualized visual information, while the core of our model is a pretrained encoder-decoder Transformer. Our novel approach achieves state-of-the-art results in extrac","authors_text":"Dawid Jurkiewicz, Gabriela Pa{\\l}ka, {\\L}ukasz Borchmann, Micha{\\l} Pietruszka, Rafa{\\l} Powalski, Tomasz Dwojak","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-18T18:51:47Z","title":"Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.09550","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:e1236f95e7e6d7f68415bcad8fb3eaf1094ea0a4fc7c14431a0bd3fb7189a204","target":"record","created_at":"2026-07-05T02:56:56Z","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":"f967f810aff1cdf523e358452007114c461633b19cda63873e09f25ae3fbcd74","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-02-18T18:51:47Z","title_canon_sha256":"b2cc4dd5981a3d93be9d3c5e5c58f614ddd1947df497e6ac30d64587789211f6"},"schema_version":"1.0","source":{"id":"2102.09550","kind":"arxiv","version":3}},"canonical_sha256":"ed7c4838e38bad8cae842ae5962d765a4592a418061efc759057252fb05dde6e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ed7c4838e38bad8cae842ae5962d765a4592a418061efc759057252fb05dde6e","first_computed_at":"2026-07-05T02:56:56.799499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:56:56.799499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QhNDg1gu5+eWz0rFJqoUYmu6nxwW2ikDK7+edhpFNqi4R7fvVCC6FLDVONyDDaszepX717hP/0Lk3S9AdroiAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T02:56:56.799963Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.09550","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e1236f95e7e6d7f68415bcad8fb3eaf1094ea0a4fc7c14431a0bd3fb7189a204","sha256:2564401568bda93795a38ef53bd6547a7bd6d97292f6a3340550757a8712c365"],"state_sha256":"dbf07bdf64e03a5af83cd4b1d9913924a3e80029fe00eb3a1e69d04b903ebe8b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yo4XOLXWit0+wvkd4XrDeZnePQEsYPHeM6RaZMn+QQyWZNxKcK6hFkyixi7PUHBDNfoe8MFTdwMgEAMfd+ViAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T05:44:54.460594Z","bundle_sha256":"059eb85dbe32f69516d990f2b6bf6482659e7480934f9260279680d1f901c427"}}