{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XS6MMBFKH2E3UXXOA3UOA7W56A","short_pith_number":"pith:XS6MMBFK","canonical_record":{"source":{"id":"2508.04208","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T08:43:08Z","cross_cats_sorted":[],"title_canon_sha256":"305bae33e0dab5ae9556df6dce0d60827958396d9d75dc3453ab449eba808a3c","abstract_canon_sha256":"38d5d3b8dfa44961a11f8d58d3b6a37464bd6cf24786f12bc4cdc3e32cb5cfdf"},"schema_version":"1.0"},"canonical_sha256":"bcbcc604aa3e89ba5eee06e8e07eddf02c8c223dbb532f8c79014525b4dce882","source":{"kind":"arxiv","id":"2508.04208","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04208","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04208v1","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04208","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"XS6MMBFKH2E3","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_16","alias_value":"XS6MMBFKH2E3UXXO","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_8","alias_value":"XS6MMBFK","created_at":"2026-07-05T11:49:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XS6MMBFKH2E3UXXOA3UOA7W56A","target":"record","payload":{"canonical_record":{"source":{"id":"2508.04208","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T08:43:08Z","cross_cats_sorted":[],"title_canon_sha256":"305bae33e0dab5ae9556df6dce0d60827958396d9d75dc3453ab449eba808a3c","abstract_canon_sha256":"38d5d3b8dfa44961a11f8d58d3b6a37464bd6cf24786f12bc4cdc3e32cb5cfdf"},"schema_version":"1.0"},"canonical_sha256":"bcbcc604aa3e89ba5eee06e8e07eddf02c8c223dbb532f8c79014525b4dce882","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:49:22.828911Z","signature_b64":"6RofBcMHBbzqjgnJo+6yznBO7EJmV0qtT52o8t7OnQ8KOEnM64/4XdZfdAfKQqXtZuvM6Dh7XA+W4n3d8pDiCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bcbcc604aa3e89ba5eee06e8e07eddf02c8c223dbb532f8c79014525b4dce882","last_reissued_at":"2026-07-05T11:49:22.828447Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:49:22.828447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.04208","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":"2026-07-05T11:49:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TOhyRcfU0P5gPvD1P9KRYldzyVc8UtcfZFxPJbx5q8wKqgddYGLFBHy45wqXdhIWTq9g6+h0TR5kJnfpXolrCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:30:30.727432Z"},"content_sha256":"e7d414c14bffeeeeb756ec94be7c840bb5c6f6367bdef51ed09fca062500e4bb","schema_version":"1.0","event_id":"sha256:e7d414c14bffeeeeb756ec94be7c840bb5c6f6367bdef51ed09fca062500e4bb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XS6MMBFKH2E3UXXOA3UOA7W56A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Andreas Dengel, Saifullah Saifullah, Sheraz Ahmed, Stefan Agne","submitted_at":"2025-08-06T08:43:08Z","abstract_excerpt":"As deep learning-based, data-driven information extraction systems become increasingly integrated into modern document processing workflows, one primary concern is the risk of malicious leakage of sensitive private data from these systems. While some recent works have explored Differential Privacy (DP) to mitigate these privacy risks, DP-based training is known to cause significant performance degradation and impose several limitations on standard training procedures, making its direct application to downstream tasks both difficult and costly. In this work, we aim to address the above challeng"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04208","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/2508.04208/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":"2026-07-05T11:49:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GeYU8kcNX7W9FIy+CYPT7GdsgEArcluV9q6OABdeky0kD5CXqc+n4ighiYMQBxFNMGrPJ8Z8OxGp7nJxCx5CDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T13:30:30.728162Z"},"content_sha256":"4779a88fcdeb2c52b96957d46bb61e23681f42758c01c45df23e361533cecc2f","schema_version":"1.0","event_id":"sha256:4779a88fcdeb2c52b96957d46bb61e23681f42758c01c45df23e361533cecc2f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XS6MMBFKH2E3UXXOA3UOA7W56A/bundle.json","state_url":"https://pith.science/pith/XS6MMBFKH2E3UXXOA3UOA7W56A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XS6MMBFKH2E3UXXOA3UOA7W56A/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":"2026-08-09T13:30:30Z","links":{"resolver":"https://pith.science/pith/XS6MMBFKH2E3UXXOA3UOA7W56A","bundle":"https://pith.science/pith/XS6MMBFKH2E3UXXOA3UOA7W56A/bundle.json","state":"https://pith.science/pith/XS6MMBFKH2E3UXXOA3UOA7W56A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XS6MMBFKH2E3UXXOA3UOA7W56A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XS6MMBFKH2E3UXXOA3UOA7W56A","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":"38d5d3b8dfa44961a11f8d58d3b6a37464bd6cf24786f12bc4cdc3e32cb5cfdf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T08:43:08Z","title_canon_sha256":"305bae33e0dab5ae9556df6dce0d60827958396d9d75dc3453ab449eba808a3c"},"schema_version":"1.0","source":{"id":"2508.04208","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.04208","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"arxiv_version","alias_value":"2508.04208v1","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.04208","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_12","alias_value":"XS6MMBFKH2E3","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_16","alias_value":"XS6MMBFKH2E3UXXO","created_at":"2026-07-05T11:49:22Z"},{"alias_kind":"pith_short_8","alias_value":"XS6MMBFK","created_at":"2026-07-05T11:49:22Z"}],"graph_snapshots":[{"event_id":"sha256:4779a88fcdeb2c52b96957d46bb61e23681f42758c01c45df23e361533cecc2f","target":"graph","created_at":"2026-07-05T11:49:22Z","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/2508.04208/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As deep learning-based, data-driven information extraction systems become increasingly integrated into modern document processing workflows, one primary concern is the risk of malicious leakage of sensitive private data from these systems. While some recent works have explored Differential Privacy (DP) to mitigate these privacy risks, DP-based training is known to cause significant performance degradation and impose several limitations on standard training procedures, making its direct application to downstream tasks both difficult and costly. In this work, we aim to address the above challeng","authors_text":"Andreas Dengel, Saifullah Saifullah, Sheraz Ahmed, Stefan Agne","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.04208","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:e7d414c14bffeeeeb756ec94be7c840bb5c6f6367bdef51ed09fca062500e4bb","target":"record","created_at":"2026-07-05T11:49:22Z","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":"38d5d3b8dfa44961a11f8d58d3b6a37464bd6cf24786f12bc4cdc3e32cb5cfdf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-08-06T08:43:08Z","title_canon_sha256":"305bae33e0dab5ae9556df6dce0d60827958396d9d75dc3453ab449eba808a3c"},"schema_version":"1.0","source":{"id":"2508.04208","kind":"arxiv","version":1}},"canonical_sha256":"bcbcc604aa3e89ba5eee06e8e07eddf02c8c223dbb532f8c79014525b4dce882","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bcbcc604aa3e89ba5eee06e8e07eddf02c8c223dbb532f8c79014525b4dce882","first_computed_at":"2026-07-05T11:49:22.828447Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:49:22.828447Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6RofBcMHBbzqjgnJo+6yznBO7EJmV0qtT52o8t7OnQ8KOEnM64/4XdZfdAfKQqXtZuvM6Dh7XA+W4n3d8pDiCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:49:22.828911Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.04208","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e7d414c14bffeeeeb756ec94be7c840bb5c6f6367bdef51ed09fca062500e4bb","sha256:4779a88fcdeb2c52b96957d46bb61e23681f42758c01c45df23e361533cecc2f"],"state_sha256":"bb365c93e8cbecc2bc012ef2dfd25d33f40c3815befe91d086efafc91a985431"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RHBPZHle2eKq4cS/Yuv6+XlbDYLcK583fDlRTa47tR5G+ODZBJybTfW0Kn/ngUXA4k0PhNlNX7B4sAK7TeK4Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T13:30:30.733845Z","bundle_sha256":"9653e38bac19cedbe6569bd2b250f22e2da67d1063a909cafd4f03e30ba09f0d"}}