{"as_of":"2026-08-09T09:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:801fd111bb8e216d451d8b1a2fdaeba1cb9e5afc3f91cc56b2ae1fbee4d9f729","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T00:51:50.059886Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.04208/citation-record","integrity":"/paper/2508.04208/integrity","json":"/paper/2508.04208/citation-record.json","paper":"/paper/2508.04208"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:43.032149Z","title":"In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.032149Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:a2a971374af1bfff8322c8d5af1dbf7a61490cf0b084138c23ec1e7a3a28b434","observation_id":"e5584dba-d02a-4cfc-9716-4fd7d52d0b67","resolution":{"observed_at":"2026-08-06T00:51:43.032149Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/icdar.2017.149","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:51.342658Z","title":"Proceedings of the International Conference on Document Analysis and Recognition, ICDAR1, 883–888 (2017)","venue":null,"work_id":"f0167a39-3243-4329-8dab-3a6f1a69aced","year":2017},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.115443Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:54f8cea59a36158e53b4ad932889166097e2fd276abe8ed57b7f431847251f08","observation_id":"1596bd46-7019-4916-a19a-961fa39597e6","resolution":{"observed_at":"2026-08-06T00:51:51.399456Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:59.829308Z","title":"IEEE Secur","venue":null,"work_id":"21103dab-ab61-4020-b62e-8cbecc92ae1b","year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.184735Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:33be505422d06d9e903cdef578dd5af67143b4fe0f1e31d8a3e440eac92f6515","observation_id":"878c9ea0-cbbb-413d-8d50-10481c17388e","resolution":{"observed_at":"2026-08-06T00:51:59.892596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:59.632774Z","title":"In: Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P., Vaughan, J.W","venue":null,"work_id":"a1150d1b-1292-4316-bf17-e65f16c6b13a","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.278088Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:2eaba326978a85ad415bb6b962f294fc5b48b8a11b246d49f4adceb4b2d8deac","observation_id":"9cd101b0-7613-4976-b8d3-b8a240e774cd","resolution":{"observed_at":"2026-08-06T00:51:59.740211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:59.458838Z","title":"In: Proceedings of the 3rd Workshop on Economics and Natural Language Processing, ECONLP","venue":null,"work_id":"39e654af-61d7-43d3-b4b3-4543d98e2d4b","year":null},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.372771Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:3910114728f4d2814c6444cf4ddc3e1fb87dd6272053bd119482e73a4c70c445","observation_id":"6392886a-5250-42c7-8d8c-00775f67bb33","resolution":{"observed_at":"2026-08-06T00:51:59.530161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:59.119698Z","title":null,"venue":null,"work_id":"c4fb8023-ad73-486e-99b5-ca78a648445f","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.542469Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:0c106a18a1ae8b45eaa611369f727778610b03609300035157a1bc5a636c6898","observation_id":"1efe0e58-ea6e-4dae-9fc7-53c6cbe41181","resolution":{"observed_at":"2026-08-06T00:51:59.187144Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:58.963061Z","title":"In: Proc","venue":null,"work_id":"26e4c83b-f986-47ba-9e1f-f241ab35502a","year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.651137Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:9323c2c13d7bf93b4892b6c36dac267679ba5120b2ac706571a34a81232e2e6c","observation_id":"a98fcdcb-7fed-42c8-871b-e4503a009d4a","resolution":{"observed_at":"2026-08-06T00:51:59.030243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:58.754902Z","title":"In: 30th USENIX Security Symposium (USENIX Security 21)","venue":null,"work_id":"71c57821-8ff3-4bc4-b502-4c749564cf49","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.728327Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:217235a72f41bbfef96b1430510098393b052b2724f5fe7b69245d1fd6603615","observation_id":"dff15603-bd1b-452e-bb71-4b1129a41bd3","resolution":{"observed_at":"2026-08-06T00:51:58.848755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:58.615585Z","title":"In: Larochelle, H., Ran- zato, M., Hadsell, R., Balcan, M., Lin, H","venue":null,"work_id":"7a4eabd3-7652-442c-b98c-888c7cdfcf93","year":2020},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.796787Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:8788cce41434dae068bf079ef790bfef6e7dd06521916774a33999f5fef9e9bc","observation_id":"94e83b29-bc49-42eb-976c-b729a1f60b11","resolution":{"observed_at":"2026-08-06T00:51:58.694857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:43.886465Z","title":"In: Proc","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.886465Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:d152700ffd9257648935f959bba7cea471389ee3991c9b037cb38da2870ec174","observation_id":"320fcfb2-9886-4ce9-8565-678df6f049ce","resolution":{"observed_at":"2026-08-06T00:51:43.886465Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:58.397661Z","title":"In: Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)","venue":null,"work_id":"b87567f9-e07a-4bdc-89ca-0d12cfc86a4b","year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.956949Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:83595769b9f4befb1c3766bd9c8ed8ae409c617e18e486485b0da3c352a4fc73","observation_id":"a7c64a76-757e-42f7-9d61-2a2fd75a982d","resolution":{"observed_at":"2026-08-06T00:51:58.525949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.05233","last_updated":"2021-06-01T17:49:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-05-11T17:50:24Z","title":"Diffusion Models Beat GANs on Image Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.05233","snapshot_observed_at":"2026-08-06T00:51:44.027180Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.027180Z"},"links":{"cited_paper":"/paper/2105.05233","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:69fbecd59a3e2514472678146531b00e92b78ebd7cb9a024ea64c9118add436b","observation_id":"b484227b-9576-44ac-96ff-f6e2909c0b73","resolution":{"observed_at":"2026-08-06T00:51:44.027180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:58.232677Z","title":null,"venue":null,"work_id":"e0c877f7-8ac5-4b5e-a222-0a2b80d44d15","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.096511Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:8aa4b44fb7e5091f7281a649bb42d573dabfb2be4f47d3747623c8991fbe91eb","observation_id":"46e689ca-6681-474f-80e1-f8d882f63d68","resolution":{"observed_at":"2026-08-06T00:51:58.303269Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:44.202159Z","title":"In: International Conference on Learning Representations (2021), https://openreview","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.202159Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:78b03c7abceedefb6c67c07a3475e65298b3c936b8b3dbd1ea074e9389506dd4","observation_id":"56f4c349-7bef-4f32-8407-1d4a13c0e1da","resolution":{"observed_at":"2026-08-06T00:51:44.202159Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:44.328694Z","title":"Foundations and Trends R in Theoretical Computer Science9, 211–407 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.328694Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:7a55c86efa0a381f1a96e5950073005d9c134d3e60b42ded9f80ec670bb56a4e","observation_id":"49934af0-63ca-4a45-9393-4898a3b450b7","resolution":{"observed_at":"2026-08-06T00:51:44.328694Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:44.485215Z","title":"In: Automata, Languages and Programming","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.485215Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:a2e41becef5c626fdbf0edfbcc208aeedc7364319bae14b5b1829570235bc211","observation_id":"5644ddf0-0378-4f9d-a46d-552b44fc30d6","resolution":{"observed_at":"2026-08-06T00:51:44.485215Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:58.061472Z","title":null,"venue":null,"work_id":"005202d4-335c-43ca-b660-adb6bf8b6599","year":2016},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.607176Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:f512217fd86b003e237e7c9ad96d93cd07e7b80e4e72f1240aa32b78267ce0e9","observation_id":"1c00848e-7827-442e-8545-b497640cae01","resolution":{"observed_at":"2026-08-06T00:51:58.133880Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:57.819101Z","title":"In: Krzhizhanovskaya, V.V., Závodszky, G., Lees, M.H., Dongarra, J.J., Sloot, P.M.A., Brissos, S., Teixeira, J","venue":null,"work_id":"81705441-abff-4945-af40-ac5ee291ef2d","year":2020},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.773228Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:29fc25b737fe633c8baacac9f16a5846eafa59f7d301190a64665b3a4bc135fd","observation_id":"8e7a9545-5525-428a-ad49-f952ec82e6cf","resolution":{"observed_at":"2026-08-06T00:51:57.934687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1910.08917","last_updated":"2019-10-20T07:16:29Z","snapshot_observed_at":"2026-07-06T08:30:49.663332Z","submitted_at":"2019-10-20T07:16:29Z","title":"Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text","version":1},"cited_work":{"arxiv_id":"1910.08917","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.08917","snapshot_observed_at":"2026-08-06T00:51:52.285254Z","title":"Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text","venue":"cs.LG","work_id":"2a87f013-2387-4bd0-a4d6-2ea4e260bb07","year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:44.915955Z"},"links":{"cited_paper":"/paper/1910.08917","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:fff409f0ce3ce493a938758c198f0f6a06e5c8b36e2a1c73bd205ab90210217c","observation_id":"0cd0cf28-b249-4393-bf63-fb151699f2ab","resolution":{"observed_at":"2026-08-06T00:51:52.356324Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:45.099904Z","title":"In: Proc","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.099904Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:00092261325898c8cffa10c13314096ebeacdcb38a60ef3d1577061ad9b3a7a7","observation_id":"088a3dc9-8f79-4f45-9f19-333e26350873","resolution":{"observed_at":"2026-08-06T00:51:45.099904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13861","last_updated":"2023-02-27T15:02:04Z","snapshot_observed_at":"2026-08-08T18:55:37.205842Z","submitted_at":"2023-02-27T15:02:04Z","title":"Differentially Private Diffusion Models Generate Useful Synthetic Images","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13861","snapshot_observed_at":"2026-08-06T00:51:45.214645Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.214645Z"},"links":{"cited_paper":"/paper/2302.13861","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:b0831cdc5d06373b32eb3c7dc0c0e7237f5501f29eaee9cf52073681cb19f772","observation_id":"ccb58872-9a6e-4e63-a81f-b64db7d6de84","resolution":{"observed_at":"2026-08-06T00:51:45.214645Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.01690","last_updated":"2024-09-03T22:30:34Z","snapshot_observed_at":"2026-07-06T18:56:23.279243Z","submitted_at":"2024-08-03T07:05:40Z","title":"IDNet: A Novel Dataset for Identity Document Analysis and Fraud Detection","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.01690","snapshot_observed_at":"2026-08-06T00:51:45.294247Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.294247Z"},"links":{"cited_paper":"/paper/2408.01690","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:bbd0542bd914303bf7a11edec39cb6c06fbead73956e0e79813548ef44d55162","observation_id":"6702e226-21f4-4e76-965a-8a0f4778f91b","resolution":{"observed_at":"2026-08-06T00:51:45.294247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:57.626021Z","title":"In: Barney Smith, E.H., Liwicki, M., Peng, L","venue":null,"work_id":"e59f4944-b37d-4d43-849a-b5ffd5256909","year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.392514Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:2dffbe80a7d3edc818a823c2139d86ade5a2b177831cf0b830812cdf8407838b","observation_id":"3a43eedf-f8c1-4c4d-89bd-c8e1fe3e2d72","resolution":{"observed_at":"2026-08-06T00:51:57.722618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:57.349115Z","title":"Transactions on Machine Learning Research (2023), https://openreview.net/forum?id=R6W7zkMz0P","venue":null,"work_id":"7abdc36f-1a3c-4842-b30c-94a423851b39","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.536727Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:ca9345df78ce8ca041182069add223a777ad39ce322625ee3c2a942aab301bf0","observation_id":"1e0d05b1-23a1-4b81-8a44-5281536a79b3","resolution":{"observed_at":"2026-08-06T00:51:57.496862Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:57.143302Z","title":"In: International Conference on Document Analysis and Recognition (ICDAR)","venue":null,"work_id":"2368dd84-4f10-4b84-a99b-49d40b5ff85b","year":null},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.649895Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:30fbd282f99671d85788ce6b6b3fb28ff5518d617e9996081ccb9b07b9e40127","observation_id":"c8a561e9-48ae-41e5-abea-1fd756572fc5","resolution":{"observed_at":"2026-08-06T00:51:57.218748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:56.918262Z","title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) pp","venue":null,"work_id":"09c51dd0-3c3c-4786-bffc-95487b3f6605","year":2016},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.816087Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:2014c1b5f1ea8d94854d3e7b19b1e6334ac23b5aeb4b117004ac5a2602dd4975","observation_id":"33982f2b-3df3-4500-bd05-3c1b28701f99","resolution":{"observed_at":"2026-08-06T00:51:56.982056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-031-41676-7_21","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:07:33.414567Z","title":null,"venue":"Lecture notes in computer science","work_id":"528a3a17-0b3b-49a1-b7df-35268df28200","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:45.930485Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:632e6664be09245dc02110053e23b649ecbecb20aba03937a22029647b77a04b","observation_id":"3c1f70a6-aeb0-4c93-b28c-37c2b2c2199f","resolution":{"observed_at":"2026-08-06T00:51:51.209114Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.11239","last_updated":"2020-12-16T21:15:05Z","snapshot_observed_at":"2026-07-06T09:30:47.469703Z","submitted_at":"2020-06-19T17:24:44Z","title":"Denoising Diffusion Probabilistic Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.11239","snapshot_observed_at":"2026-08-06T00:51:46.009843Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.009843Z"},"links":{"cited_paper":"/paper/2006.11239","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:f7cc430e6df0ad4ecd4486c49b7500f17d4f8c57a41b0f146131284fb8a638b4","observation_id":"1b3f38e2-3f79-4139-9498-c6ef2390bc86","resolution":{"observed_at":"2026-08-06T00:51:46.009843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.12598","last_updated":"2022-07-26T01:42:07Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-07-26T01:42:07Z","title":"Classifier-Free Diffusion Guidance","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.12598","snapshot_observed_at":"2026-08-06T00:51:46.121165Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.121165Z"},"links":{"cited_paper":"/paper/2207.12598","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:1b171fe56d196043e94de90c56b1be4a80c6efb2bc0e99761e52be48b8bac440","observation_id":"70852cec-18b9-458c-93b4-fd9875f891f8","resolution":{"observed_at":"2026-08-06T00:51:46.121165Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.privatenlp-1.3","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:50.869107Z","title":"In: Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021","venue":null,"work_id":"f3ca8c58-616c-4c13-9ec7-3d2a0b6dd091","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.216510Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:cade4b719796dc9aae2ac13be2cdbc8877e7a07bb44a99609490b6d5d86d1690","observation_id":"19108f97-9e64-4274-9818-c975a22b849a","resolution":{"observed_at":"2026-08-06T00:51:50.982462Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2301.09112","last_updated":"2023-10-23T13:28:35Z","snapshot_observed_at":"2026-08-09T04:53:10.483192Z","submitted_at":"2023-01-22T12:29:03Z","title":"Differentially Private Natural Language Models: Recent Advances and Future Directions","version":2},"cited_work":{"arxiv_id":"2301.09112","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.09112","snapshot_observed_at":"2026-08-06T00:51:52.027850Z","title":"Differentially Private Natural Language Models: Recent Advances and Future Directions","venue":"cs.CL","work_id":"2e7fa493-72c8-4cd5-9b91-52d6bcccdab5","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.333986Z"},"links":{"cited_paper":"/paper/2301.09112","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:5ba2f56abae72962443384a21565a7d7e30092b71033b0c82c8c7d1ce5935359","observation_id":"a482079f-117b-4eea-85d5-1dc86c130df2","resolution":{"observed_at":"2026-08-06T00:51:52.090559Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:46.415723Z","title":"In: Proceedings of the 30th ACM International Conference on Multimedia","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.415723Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:15bfa9a0c30c861deee201fe2f23cbd8733984dd2273e6bd7fe236e23f4be5b5","observation_id":"8e7fe466-5e92-4a4e-8059-34af620b90bc","resolution":{"observed_at":"2026-08-06T00:51:46.415723Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:56.684199Z","title":"In: The Eleventh International Conference on Learning Representations (2023), https://openreview.net/forum?id=JmC_Tld3v-f","venue":null,"work_id":"53f7e553-6cd4-431e-bce0-e47124ddcce5","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.508923Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:31028b43c2c3084bf4aba30335e4baf4880716791bbfccc9104a33388a8dac0d","observation_id":"57c7b4ad-18f9-4b3b-bdb2-3fe3f388e0d5","resolution":{"observed_at":"2026-08-06T00:51:56.777397Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:56.492831Z","title":null,"venue":null,"work_id":"a7f91f0d-d678-4ed8-8931-c8a545786051","year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.623253Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:33b91755af4665286162cfbd117c6574b7ef44a5059f644ec9f564d2efc4329f","observation_id":"f2896d84-53b5-444f-b0a9-91bb6f73b80f","resolution":{"observed_at":"2026-08-06T00:51:56.554427Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2022.acl-long.260","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:50.711588Z","title":"In: Proceedings of the Annual Meeting of the Association for Computational Linguistics","venue":null,"work_id":"686b409d-d3f8-4a37-83a0-f022176182c6","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.719780Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:e992b508cb82e503e0801423504ced27bd438a99a3b727ec2dc1037a8d53135b","observation_id":"a46b212b-05cb-452f-acb5-d663cf2a429a","resolution":{"observed_at":"2026-08-06T00:51:50.787714Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:46.836759Z","title":"In: Proceedings of the 30th ACM International Conference on Multimedia","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.836759Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:3512e928a7bbffa980ee2b49a96d64f5d406ff477e043fd60db4dd9cc9dbbd2b","observation_id":"2102f14f-2367-4153-bada-44534e3d98a7","resolution":{"observed_at":"2026-08-06T00:51:46.836759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:56.289005Z","title":"In: International Conference on Learning Represen- tations (2022), https://openreview.net/forum?id=bVuP3ltATMz","venue":null,"work_id":"8b3257de-28ae-40d4-9837-df5dbd8ad0e1","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:46.931872Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:d9e83b328f896e05da3a4612207b5c6d530155ca9131459b5ade00e03ce8fa4f","observation_id":"4ce1dc66-9a61-4887-9a39-678db2583042","resolution":{"observed_at":"2026-08-06T00:51:56.375689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:56.119101Z","title":"In: International Confer- ence on Learning Representations (2022), https://openreview.net/forum?id= M6M8BEmd6dq","venue":null,"work_id":"da6b7c5a-03a2-4634-be5f-ba8a8468204c","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.045186Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:a720fa3ab7d1d3ec468739e2c519d65e26aabc9114107eaf41d7f5addb33e5bb","observation_id":"2a4b5c3b-d278-4536-8786-9925dfc0323a","resolution":{"observed_at":"2026-08-06T00:51:56.210306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:55.949795Z","title":"Transactions on Machine Learning Research (2024), https://openreview","venue":null,"work_id":"5c932e23-537e-49ea-b4d6-6c692ba59e1e","year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.138248Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:b0f0061dd72f807c438818117e8d46e022306780cdf7c77661b4fa67db7ba994","observation_id":"699b9fd5-3f6b-47eb-8c54-9fc939939fe1","resolution":{"observed_at":"2026-08-06T00:51:56.038287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:55.788244Z","title":"In: The Thirteenth International Conference on Learning Representations (2025), https://openreview.net/forum?id=2kGKsyhtvh","venue":null,"work_id":"4b88dd8e-2345-4652-aaa2-9dcc25e75aeb","year":2025},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.295585Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:8a942e95913fe0fc671345a56c904f12741d532fe4b4fadbf07ecbf6e23b30c5","observation_id":"c90b5411-6fbf-4833-9ed1-8f57ba5bb977","resolution":{"observed_at":"2026-08-06T00:51:55.882217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:47.376265Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.376265Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:376b33fc03a2cac70f158c8f58c85b537a151c4dbe588458ac56eae9542dac2f","observation_id":"410e9e7d-2839-43e7-b9da-7954be05cfee","resolution":{"observed_at":"2026-08-06T00:51:47.376265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:55.630833Z","title":"In: International Conference on Learning Representa- tions (2017) DP-DocLDM: Differentially Private Document Image Generation 19","venue":null,"work_id":"a7a4d6a9-7d93-4440-aca8-441df5f56f56","year":2017},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.476404Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:c6aaa8cfd87a66fbbb7c37f868ef52f25a7a97ecd67a4e080c889d5eed5984d0","observation_id":"ecf92608-e951-4a8a-a635-543d6a7d013d","resolution":{"observed_at":"2026-08-06T00:51:55.709657Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:55.473084Z","title":"IEEE Transactions on Industrial Informatics (2021)","venue":null,"work_id":"9e69b2de-b959-440b-b6d3-3209e43f1540","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.556694Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:2b7a4999dc871ac41b560d15e242dfab38ef4bb1559883818e086f4a8ab0477a","observation_id":"3997bf5f-3582-44ab-a4aa-2faba16e1d62","resolution":{"observed_at":"2026-08-06T00:51:55.550106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:55.306196Z","title":"In: 2017 IEEE 30th Computer Security Foundations Symposium (CSF)","venue":null,"work_id":"815a3b29-356c-4a92-98c8-cfd7c2862bee","year":2017},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.654536Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:d585fa9b42149be597723e406208568bf5706383b470dc10841c0f39320773df","observation_id":"cb2acb74-9194-4c98-81ae-06df90ff7254","resolution":{"observed_at":"2026-08-06T00:51:55.408017Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:55.136679Z","title":null,"venue":null,"work_id":"520c65bc-c69a-4306-a997-28ac6a77cdc4","year":2020},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.765282Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:3d98657ecf6c0320d330ec9b5104771f31e19a6b49f5e8d3406a739c2a438fa1","observation_id":"7866bdd8-6865-4159-b2f4-6dfdb6a16c94","resolution":{"observed_at":"2026-08-06T00:51:55.192656Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:54.964943Z","title":"In: Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":"a74a1742-d9e2-408a-b44e-7b5f3126658f","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.848285Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:9cd4912e31af15a60a89f0c8f0c5361f7e43d178384e820c0547addc7c78c087","observation_id":"f5d9d5dd-1413-44cc-9a91-37229e45202b","resolution":{"observed_at":"2026-08-06T00:51:55.046769Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:54.832214Z","title":"In: Lladós, J., Lopresti, D., Uchida, S","venue":null,"work_id":"da08772d-323b-4ed4-b0b4-22060e582f7f","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:47.922764Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:18c8fa74e5dc1e3d08baef572eb2ef1be55c6160993b6dbb0aff0c31b67213c9","observation_id":"5bc4aa9d-83be-4461-9b4e-e2afbdc83146","resolution":{"observed_at":"2026-08-06T00:51:54.883780Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:48.057035Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.057035Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:b8c2f1d37f3bb980fe8cd8ea579a4333b202404148fad77dbf3c937699c7af75","observation_id":"3853acc6-bf98-421c-878e-c0ef6838dbc8","resolution":{"observed_at":"2026-08-06T00:51:48.057035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17347","last_updated":"2024-05-13T14:02:39Z","snapshot_observed_at":"2026-07-06T16:38:56.540232Z","submitted_at":"2023-10-26T12:27:56Z","title":"CADS: Unleashing the Diversity of Diffusion Models through Condition-Annealed Sampling","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17347","snapshot_observed_at":"2026-08-06T00:51:48.178663Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.178663Z"},"links":{"cited_paper":"/paper/2310.17347","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:9fe52a617068213b89c5a37544f6b4d1f4f7ffadf73e561cdf087ca9b429bcd2","observation_id":"e591673d-7bb9-48d6-bf1c-7a9338282113","resolution":{"observed_at":"2026-08-06T00:51:48.178663Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.36227/techrxiv.19310489.v4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:50.451067Z","title":null,"venue":null,"work_id":"5c1bf646-2f76-4bef-bb98-fc45729d0a00","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.338370Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:4f70c23dd47596ed6f52b8e044b956cf312e93e6a4c9435c580af0716f933a71","observation_id":"35b22f14-63f0-41ee-900c-2a14eb3e0070","resolution":{"observed_at":"2026-08-06T00:51:50.575411Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:54.547400Z","title":null,"venue":null,"work_id":"37bbe74c-50a8-4073-b632-e0eb0f0cb78b","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.455397Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:dfba58dec4337fc06304f52c90a315fdbfaf76ff7a7ce075a3cedb06cb0fddd5","observation_id":"25782930-f607-4fea-9d7b-86767346c1b4","resolution":{"observed_at":"2026-08-06T00:51:54.673792Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/s10032-024-00469-8","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:50.216850Z","title":"International Journal on Document Analysis and Recognition (IJDAR) 27(3), 475–499 (jun 2024), http://dx.doi.org/10.1007/s10032-024-00469-8","venue":null,"work_id":"76b41abe-d16c-4b3f-9bbf-03607de11945","year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.530883Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:e55cec706113e95ca07ed8873b3618354b8748db4e488bc7e1a1d5f04e103754","observation_id":"09ca7f4f-51e2-48ff-a9d8-8cce31ad5fca","resolution":{"observed_at":"2026-08-06T00:51:50.326542Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:54.267268Z","title":"In: Lladós, J., Lopresti, D., Uchida, S","venue":null,"work_id":"bb2e6f55-c985-403a-b7d7-d7a15bcba331","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.599066Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:2a83a6db65fcecd95287194172bf6befa1307d5e671839bf8e13af9074cc5e12","observation_id":"a63056ad-b6d6-4bb4-8761-3e572351cd4c","resolution":{"observed_at":"2026-08-06T00:51:54.405329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:48.709631Z","title":"In: Proc","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.709631Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:05080d5fa41bfd08e0f503318d9fa9344f7204dc21591571d8e83028d8aad2d0","observation_id":"7740b9a0-42af-4c38-8970-302ca2ac80f8","resolution":{"observed_at":"2026-08-06T00:51:48.709631Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:54.000065Z","title":"In: ICDAR ’07: Proceedings of the Ninth International Conference on Document Analysis and Recognition","venue":null,"work_id":"c005d283-dc81-4127-90b1-8073c345438e","year":2007},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.798507Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:d41af4726ab5a024760af92d94fc815eefc6d65dafcd83ab4e6685713eae47f8","observation_id":"83f454c1-dbd6-4d64-b0fd-27ff1395acd0","resolution":{"observed_at":"2026-08-06T00:51:54.122884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:53.770648Z","title":null,"venue":null,"work_id":"7e31236b-0814-4a64-999a-37065d31cab7","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.888118Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:36fc74e352dd73bba38d45e1034a691e95ce03344eb13bab715c39c4a83c9669","observation_id":"153d7226-e431-48d4-84e1-dfe6448698ee","resolution":{"observed_at":"2026-08-06T00:51:53.885731Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.03585","last_updated":"2015-11-18T21:50:51Z","snapshot_observed_at":"2026-07-06T04:11:47.439779Z","submitted_at":"2015-03-12T04:51:37Z","title":"Deep Unsupervised Learning using Nonequilibrium Thermodynamics","version":8},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.03585","snapshot_observed_at":"2026-08-06T00:51:48.993209Z","title":"Saifullah et al","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:48.993209Z"},"links":{"cited_paper":"/paper/1503.03585","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:5ebadc93c94cada9163b96ee50ff1335f1c4069699b46e5ffde4633316a6dbf9","observation_id":"6ec32146-2349-4738-89a7-23c16f5ab5c3","resolution":{"observed_at":"2026-08-06T00:51:48.993209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:53.533189Z","title":"In: Document Analysis and Recognition - ICDAR 2023: 17th Interna- tional Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III","venue":null,"work_id":"7a8427cc-39f3-4760-a7e4-c8adcb32ed66","year":2023},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.091144Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:775c8a48d58aeb66cf80bde0b989a26a6653a7fabf0886fd5862b7351daa8a98","observation_id":"1b2735b3-b69a-4a2a-8a62-45f76f7c9c9c","resolution":{"observed_at":"2026-08-06T00:51:53.628526Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:53.203836Z","title":"In: Bar- ney Smith, E.H., Liwicki, M., Peng, L","venue":null,"work_id":"ece6662c-5490-4318-a108-744ee6814721","year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.224768Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:5d072bf175ef5ff320efffd118c4df1d0a99cb0bfd729c0be5ba0cdb92e4a41c","observation_id":"92c393e6-19e6-4316-823e-52addfbf4bd1","resolution":{"observed_at":"2026-08-06T00:51:53.396335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:52.992212Z","title":"In: Proceedings of the IEEE Conference on Com- puter Vision and Pattern Recognition Workshops","venue":null,"work_id":"11bb46e7-1d94-4677-84ce-8da7526e62c9","year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.322529Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:693b73f3d22539d1188a2f9f83a706c77c558f01861495fc34b10b7b700d3e3d","observation_id":"6ccf0682-a2a9-430d-be6a-82a0f16cd6fa","resolution":{"observed_at":"2026-08-06T00:51:53.085198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01355","last_updated":"2024-06-03T14:18:04Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T14:18:04Z","title":"Differentially Private Fine-Tuning of Diffusion Models","version":1},"cited_work":{"arxiv_id":"2406.01355","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.01355","snapshot_observed_at":"2026-08-06T00:51:51.552923Z","title":"Differentially Private Fine-Tuning of Diffusion Models","venue":"cs.CV","work_id":"49424bb7-6e2d-40e3-857a-725aeb785cc8","year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.417747Z"},"links":{"cited_paper":"/paper/2406.01355","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:b43766ff3c72ec293f0968d4c35f2b200daf53b3dd31f360e1ff1253c681a00f","observation_id":"ebe56f53-244e-4974-81fe-216f182fc89d","resolution":{"observed_at":"2026-08-06T00:51:51.631298Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:52.852717Z","title":"In: USENIX Se- curity Symposium (2024), https://www.usenix.org/conference/usenixsecurity24/ presentation/wang-haichen","venue":null,"work_id":"d8e7b73c-a2e2-447f-ac1c-31f86dd0d40a","year":2024},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.505626Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:8289b90c9226d9af41afd417980d43beb5ce39f73dfd78e441209303c0432853","observation_id":"1c81b5b1-0b9c-4684-8c53-8d11c5996f0a","resolution":{"observed_at":"2026-08-06T00:51:52.918099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:52.695812Z","title":"Applied Sciences (Switzerland) 12(21) (mar 2022), http://arxiv.org/abs/2103","venue":null,"work_id":"a5d73e5d-16f5-4fc9-867d-fe6e257bce3a","year":2022},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.608195Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:9ae0ae6c2a4c967ad1624b8bd0f5b1e7e1151c73653dd2ea87baee83f49d5e40","observation_id":"ed6891f8-5e05-4b24-b659-34822c4aff0e","resolution":{"observed_at":"2026-08-06T00:51:52.760493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:52.508134Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"ee4db081-5330-48ac-9ce6-78a00a6f3620","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.721676Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:ada40a377e6fdbcdb8b64daf06bd3b47b4467c094e9daba5b03ba7e39b864e28","observation_id":"88517da9-73ba-4035-9fce-0347f0b12680","resolution":{"observed_at":"2026-08-06T00:51:52.586498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.04899","last_updated":"2019-08-07T07:15:29Z","snapshot_observed_at":"2026-08-03T20:05:54.521520Z","submitted_at":"2019-05-13T08:10:22Z","title":"CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.04899","snapshot_observed_at":"2026-08-06T00:51:49.849008Z","title":"org/abs/1905.04899","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.849008Z"},"links":{"cited_paper":"/paper/1905.04899","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:dfdfc82d7f82c0b6c7899c73d3bd33b71213c200e630c5f13bdcc13a2dee0e07","observation_id":"f426121c-df0f-4739-931c-1d5956649059","resolution":{"observed_at":"2026-08-06T00:51:49.849008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.09412","last_updated":"2018-04-27T21:39:25Z","snapshot_observed_at":"2026-08-08T10:28:19.597631Z","submitted_at":"2017-10-25T18:30:49Z","title":"mixup: Beyond Empirical Risk Minimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.09412","snapshot_observed_at":"2026-08-06T00:51:49.954587Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:49.954587Z"},"links":{"cited_paper":"/paper/1710.09412","citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:5db1e7d94d71f1da2f8245b02cc129af5321ec531891b23018103f9c148b87e5","observation_id":"abb813dc-cdc6-4476-bc3a-8da3c62cc05e","resolution":{"observed_at":"2026-08-06T00:51:49.954587Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:50.059886Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:50.059886Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:52060d561a62eb46cd484916cb54e84e3a2f43d633de516af6ca20f4db7c6e8b","observation_id":"c2e24257-63b4-4a8e-b210-70b47b78b31d","resolution":{"observed_at":"2026-08-06T00:51:50.059886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T00:51:59.284178Z","title":null,"venue":null,"work_id":"34747efd-251c-4378-9df9-793e818d29ee","year":2021},"citing_paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T00:51:43.465047Z"},"links":{"citing_paper":"/paper/2508.04208"},"observation_digest":"sha256:b83ab0e968dc56dec056bc018640ae4c8fd581a2b6c9f734a5cb63742996b695","observation_id":"cd57a4cd-059e-49fe-b8b0-2ea36f65f1fb","resolution":{"observed_at":"2026-08-06T00:51:59.342131Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.04208","last_updated":"2025-08-06T08:43:08Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-07T15:27:38.459939Z","submitted_at":"2025-08-06T08:43:08Z","title":"DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":3,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":28,"verified_exact":7,"verified_fuzzy":28},"total_outbound_references":68},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2508.04208."}