{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:WVA3E2F73RNZ7WHE3D7SKF7S5W","short_pith_number":"pith:WVA3E2F7","schema_version":"1.0","canonical_sha256":"b541b268bfdc5b9fd8e4d8ff2517f2eda072fa028bd76ba8637043520f8d5017","source":{"kind":"arxiv","id":"2507.05805","version":1},"attestation_state":"computed","paper":{"title":"DREAM: Document Reconstruction via End-to-end Autoregressive Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antai Guo, Deqiang Jiang, Haoyu Cao, Jianxin Dai, Mingming Gong, Xinghua Jiang, Xing Sun, Xin Li, Yinsong Liu, Yunfei Wu","submitted_at":"2025-07-08T09:24:07Z","abstract_excerpt":"Document reconstruction constitutes a significant facet of document analysis and recognition, a field that has been progressively accruing interest within the scholarly community. A multitude of these researchers employ an array of document understanding models to generate predictions on distinct subtasks, subsequently integrating their results into a holistic document reconstruction format via heuristic principles. Nevertheless, these multi-stage methodologies are hindered by the phenomenon of error propagation, resulting in suboptimal performance. Furthermore, contemporary studies utilize ge"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.05805","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-08T09:24:07Z","cross_cats_sorted":[],"title_canon_sha256":"7fe5bbc083ee706a866d46090a789f07fe63eb7f966d8d02d1188eee60430bd7","abstract_canon_sha256":"9a5b131b42e8dfa76f7caae2652aa76058e7230cfa3e6d2aa5e57e52c7ba29bb"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:33:36.667989Z","signature_b64":"khvq22UK8s4lIz9+YArhdXG743FH+vlZGDcUkA4n7s3PiJJIFdKYjRpYoQxzu+rRDmSLKdRKcdCjXvKFfZpoBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b541b268bfdc5b9fd8e4d8ff2517f2eda072fa028bd76ba8637043520f8d5017","last_reissued_at":"2026-07-05T11:33:36.667618Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:33:36.667618Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DREAM: Document Reconstruction via End-to-end Autoregressive Model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Antai Guo, Deqiang Jiang, Haoyu Cao, Jianxin Dai, Mingming Gong, Xinghua Jiang, Xing Sun, Xin Li, Yinsong Liu, Yunfei Wu","submitted_at":"2025-07-08T09:24:07Z","abstract_excerpt":"Document reconstruction constitutes a significant facet of document analysis and recognition, a field that has been progressively accruing interest within the scholarly community. A multitude of these researchers employ an array of document understanding models to generate predictions on distinct subtasks, subsequently integrating their results into a holistic document reconstruction format via heuristic principles. Nevertheless, these multi-stage methodologies are hindered by the phenomenon of error propagation, resulting in suboptimal performance. Furthermore, contemporary studies utilize ge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.05805","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.05805/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.05805","created_at":"2026-07-05T11:33:36.667671+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.05805v1","created_at":"2026-07-05T11:33:36.667671+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.05805","created_at":"2026-07-05T11:33:36.667671+00:00"},{"alias_kind":"pith_short_12","alias_value":"WVA3E2F73RNZ","created_at":"2026-07-05T11:33:36.667671+00:00"},{"alias_kind":"pith_short_16","alias_value":"WVA3E2F73RNZ7WHE","created_at":"2026-07-05T11:33:36.667671+00:00"},{"alias_kind":"pith_short_8","alias_value":"WVA3E2F7","created_at":"2026-07-05T11:33:36.667671+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W","json":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W.json","graph_json":"https://pith.science/api/pith-number/WVA3E2F73RNZ7WHE3D7SKF7S5W/graph.json","events_json":"https://pith.science/api/pith-number/WVA3E2F73RNZ7WHE3D7SKF7S5W/events.json","paper":"https://pith.science/paper/WVA3E2F7"},"agent_actions":{"view_html":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W","download_json":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W.json","view_paper":"https://pith.science/paper/WVA3E2F7","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.05805&json=true","fetch_graph":"https://pith.science/api/pith-number/WVA3E2F73RNZ7WHE3D7SKF7S5W/graph.json","fetch_events":"https://pith.science/api/pith-number/WVA3E2F73RNZ7WHE3D7SKF7S5W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W/action/storage_attestation","attest_author":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W/action/author_attestation","sign_citation":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W/action/citation_signature","submit_replication":"https://pith.science/pith/WVA3E2F73RNZ7WHE3D7SKF7S5W/action/replication_record"}},"created_at":"2026-07-05T11:33:36.667671+00:00","updated_at":"2026-07-05T11:33:36.667671+00:00"}