{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:S3OU2PPY6QL3TMPIZI2W3CW4MR","short_pith_number":"pith:S3OU2PPY","canonical_record":{"source":{"id":"2104.08836","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T12:16:00Z","cross_cats_sorted":[],"title_canon_sha256":"16e8a759478b923762e43f45fa5896bbb1594cecf124b362fc2632915ab25648","abstract_canon_sha256":"e1fae405c97c4d2f0d0fdbda24c1d0cda13fbb68db478726a5769eb77fd76b2d"},"schema_version":"1.0"},"canonical_sha256":"96dd4d3df8f417b9b1e8ca356d8adc644baab05f86c02581906b81f408706e2c","source":{"kind":"arxiv","id":"2104.08836","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08836","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08836v3","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08836","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"pith_short_12","alias_value":"S3OU2PPY6QL3","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"pith_short_16","alias_value":"S3OU2PPY6QL3TMPI","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"pith_short_8","alias_value":"S3OU2PPY","created_at":"2026-07-05T03:12:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:S3OU2PPY6QL3TMPIZI2W3CW4MR","target":"record","payload":{"canonical_record":{"source":{"id":"2104.08836","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T12:16:00Z","cross_cats_sorted":[],"title_canon_sha256":"16e8a759478b923762e43f45fa5896bbb1594cecf124b362fc2632915ab25648","abstract_canon_sha256":"e1fae405c97c4d2f0d0fdbda24c1d0cda13fbb68db478726a5769eb77fd76b2d"},"schema_version":"1.0"},"canonical_sha256":"96dd4d3df8f417b9b1e8ca356d8adc644baab05f86c02581906b81f408706e2c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:12:48.460816Z","signature_b64":"On8gYI1agplF6fEQ0YIL+Ts1G5pC4D4XfBr6DR2M8aA3gm8W4iiIqWvInVlcJSEceXMcUFeHc0Ua0dm55TplDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96dd4d3df8f417b9b1e8ca356d8adc644baab05f86c02581906b81f408706e2c","last_reissued_at":"2026-07-05T03:12:48.460272Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:12:48.460272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2104.08836","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":"2026-07-05T03:12:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"joKD0YT+KLJVmSidvCpAhvBL0jHoeTvjJ1KWSg0eWtqGBZX66vIxm4vDmt17rQuB398x8Z2yrC8vLARwdDJPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:52:18.671143Z"},"content_sha256":"0e6b5df3c3a24a35e0035ab2a661040c19ef6febac5da99d5423c11d7d5f5107","schema_version":"1.0","event_id":"sha256:0e6b5df3c3a24a35e0035ab2a661040c19ef6febac5da99d5423c11d7d5f5107"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:S3OU2PPY6QL3TMPIZI2W3CW4MR","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Cha Zhang, Dinei Florencio, Furu Wei, Guoxin Wang, Lei Cui, Tengchao Lv, Yiheng Xu, Yijuan Lu","submitted_at":"2021-04-18T12:16:00Z","abstract_excerpt":"Multimodal pre-training with text, layout, and image has achieved SOTA performance for visually-rich document understanding tasks recently, which demonstrates the great potential for joint learning across different modalities. In this paper, we present LayoutXLM, a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. To accurately evaluate LayoutXLM, we also introduce a multilingual form understanding benchmark dataset named XFUND, which includes form understanding samples in 7 languages (Chin"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08836","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/2104.08836/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":"2026-07-05T03:12:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z1VZ0rOB8MLXr1My45XjraX4aOS8pOjleebgv5NF3o52bXcUV4sUtIbG2Rd665JDhvq+ATq7Rvb/4LcdjGrhDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T16:52:18.671835Z"},"content_sha256":"ea2f488451f44f6597e1b2e0a295717fe4d5f4d6ae1deea83b5fd1ae89c37817","schema_version":"1.0","event_id":"sha256:ea2f488451f44f6597e1b2e0a295717fe4d5f4d6ae1deea83b5fd1ae89c37817"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR/bundle.json","state_url":"https://pith.science/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR/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":"2026-08-08T16:52:18Z","links":{"resolver":"https://pith.science/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR","bundle":"https://pith.science/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR/bundle.json","state":"https://pith.science/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S3OU2PPY6QL3TMPIZI2W3CW4MR/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:S3OU2PPY6QL3TMPIZI2W3CW4MR","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":"e1fae405c97c4d2f0d0fdbda24c1d0cda13fbb68db478726a5769eb77fd76b2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T12:16:00Z","title_canon_sha256":"16e8a759478b923762e43f45fa5896bbb1594cecf124b362fc2632915ab25648"},"schema_version":"1.0","source":{"id":"2104.08836","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.08836","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"arxiv_version","alias_value":"2104.08836v3","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.08836","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"pith_short_12","alias_value":"S3OU2PPY6QL3","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"pith_short_16","alias_value":"S3OU2PPY6QL3TMPI","created_at":"2026-07-05T03:12:48Z"},{"alias_kind":"pith_short_8","alias_value":"S3OU2PPY","created_at":"2026-07-05T03:12:48Z"}],"graph_snapshots":[{"event_id":"sha256:ea2f488451f44f6597e1b2e0a295717fe4d5f4d6ae1deea83b5fd1ae89c37817","target":"graph","created_at":"2026-07-05T03:12:48Z","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/2104.08836/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal pre-training with text, layout, and image has achieved SOTA performance for visually-rich document understanding tasks recently, which demonstrates the great potential for joint learning across different modalities. In this paper, we present LayoutXLM, a multimodal pre-trained model for multilingual document understanding, which aims to bridge the language barriers for visually-rich document understanding. To accurately evaluate LayoutXLM, we also introduce a multilingual form understanding benchmark dataset named XFUND, which includes form understanding samples in 7 languages (Chin","authors_text":"Cha Zhang, Dinei Florencio, Furu Wei, Guoxin Wang, Lei Cui, Tengchao Lv, Yiheng Xu, Yijuan Lu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T12:16:00Z","title":"LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.08836","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":"sha256:0e6b5df3c3a24a35e0035ab2a661040c19ef6febac5da99d5423c11d7d5f5107","target":"record","created_at":"2026-07-05T03:12:48Z","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":"e1fae405c97c4d2f0d0fdbda24c1d0cda13fbb68db478726a5769eb77fd76b2d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2021-04-18T12:16:00Z","title_canon_sha256":"16e8a759478b923762e43f45fa5896bbb1594cecf124b362fc2632915ab25648"},"schema_version":"1.0","source":{"id":"2104.08836","kind":"arxiv","version":3}},"canonical_sha256":"96dd4d3df8f417b9b1e8ca356d8adc644baab05f86c02581906b81f408706e2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96dd4d3df8f417b9b1e8ca356d8adc644baab05f86c02581906b81f408706e2c","first_computed_at":"2026-07-05T03:12:48.460272Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:12:48.460272Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"On8gYI1agplF6fEQ0YIL+Ts1G5pC4D4XfBr6DR2M8aA3gm8W4iiIqWvInVlcJSEceXMcUFeHc0Ua0dm55TplDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:12:48.460816Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.08836","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0e6b5df3c3a24a35e0035ab2a661040c19ef6febac5da99d5423c11d7d5f5107","sha256:ea2f488451f44f6597e1b2e0a295717fe4d5f4d6ae1deea83b5fd1ae89c37817"],"state_sha256":"a6a085eb10a55e7d5b86824d482392d1b7b871fad6e5a96a80f3fb075c08e871"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rrgmePEaGLNrYU6aebeVahYQQNQjj2ej4iLG7QOBk80pBK4InZNHfN52AHkPyGbLP/j8jTomHB5u5HNtq9OVCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T16:52:18.675221Z","bundle_sha256":"61b5f635bb1b1af9ec42fbbc5958a59f49bdd0741eada011335498697fc1428b"}}