{"as_of":"2026-08-11T02:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:971b68f32027097f7ffab9c00be6840c08821c5cd7312fde8634b5f6fbe40d9c","coverage":[{"denominator":52,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":52,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:09:03.383162Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T19:41:11.190542Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-18T16:46:37.528733Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"cited_work":{"arxiv_id":"2508.20452","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.20452","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Evaluating differentially private generation of domain-specific text","venue":null,"work_id":"600a89fe-c651-4e84-a204-f0ac88e52ef5","year":2025},"citing_paper":{"arxiv_id":"2509.14594","last_updated":"2026-05-07T08:05:08Z","snapshot_observed_at":"2026-07-31T18:59:02.315833Z","submitted_at":"2025-09-18T03:57:50Z","title":"SynBench: A Benchmark for Differentially Private Text Generation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T16:46:22.479895Z"},"links":{"cited_paper":"/paper/2508.20452","citing_paper":"/paper/2509.14594"},"observation_digest":"sha256:7421193898d9502de0b3e1f42fe0f37529a37b984da9f84d3a0340768f9463cd","observation_id":"10ebb32e-f86b-4d31-9103-c1484762fba0","resolution":{"observed_at":"2026-05-18T16:46:37.531806Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.20452","snapshot_observed_at":"2026-08-07T19:41:11.190542Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05993","last_updated":"2026-08-06T13:04:42Z","snapshot_observed_at":"2026-08-10T02:31:06.762150Z","submitted_at":"2026-08-06T13:04:42Z","title":"Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T19:41:11.190542Z"},"links":{"cited_paper":"/paper/2508.20452","citing_paper":"/paper/2608.05993"},"observation_digest":"sha256:076b8abbcddcd3fd88adffc4c9b64f4e943b8e520590901bfa51175a5662b705","observation_id":"76051540-3b81-48e2-a435-6e92bf791990","resolution":{"observed_at":"2026-08-07T19:41:11.190542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.20452/citation-record","integrity":"/paper/2508.20452/integrity","json":"/paper/2508.20452/citation-record.json","paper":"/paper/2508.20452"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:09:03.212684Z","title":"Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.212684Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:02a1bfe7b2c2cfc822caf38bcc9660e4dc1d4416d31d7f909d33fcaac0e1935e","observation_id":"2809fbe2-06a5-421c-8803-6511b667922a","resolution":{"observed_at":"2026-08-05T15:09:03.212684Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.12108","last_updated":"2024-10-09T17:45:07Z","snapshot_observed_at":"2026-08-04T09:52:16.576629Z","submitted_at":"2024-07-16T18:28:40Z","title":"Private prediction for large-scale synthetic text generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.12108","snapshot_observed_at":"2026-08-05T15:09:03.216788Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.216788Z"},"links":{"cited_paper":"/paper/2407.12108","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:4e5a4d6382a3cbce9b649e513c71b0dd7f36c1d6fc8d1985b8fb0bd1cce2df95","observation_id":"1195cbc0-b761-45da-8d8f-9aa6dfb96d1b","resolution":{"observed_at":"2026-08-05T15:09:03.216788Z","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":"2026-08-05T15:09:04.050052Z","title":null,"venue":null,"work_id":"1b448fde-d84a-4856-8b4d-883aa1f678e6","year":2016},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.220083Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:7133ab4ea88e04f74126f7a6b5281ccd20048d91b70e80ff48788dc0b886af3e","observation_id":"05399e19-4aa8-40d7-9f04-526f8515e3a6","resolution":{"observed_at":"2026-08-05T15:09:04.053836Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:04.041200Z","title":null,"venue":null,"work_id":"c2fd83b4-0042-47d4-a983-3bb0cad196d0","year":2005},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.223213Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:bc7ceddca93b428c238b1ebfbefc9befdf35f20f81e9369c7909a31c8f97297c","observation_id":"cddd3a4e-4511-47ef-a9ea-752cc123498d","resolution":{"observed_at":"2026-08-05T15:09:04.044417Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2023.findings-acl.187","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"2c2a96da-d019-424c-8a2e-7c6c7f05d582","year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.225954Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:1a254e3ec2876ceacee8ab22e84ce3ec39a2329888b7543b6dd98a670c0ba4fa","observation_id":"b5b221bc-7f19-4330-8a64-295ce8b54592","resolution":{"observed_at":"2026-08-05T15:09:03.504990Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:04.032546Z","title":null,"venue":null,"work_id":"389446dc-0809-47b6-b266-f25341b33460","year":2016},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.229088Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:5dbb0449c9be61109511a3eef270526edff3cd09cf6272182f44b8da22207275","observation_id":"7426eff8-327b-4630-95a4-a871db230888","resolution":{"observed_at":"2026-08-05T15:09:04.035569Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.235102Z","title":"Liu, Vi- jay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.235102Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:110566bbadc00990f7a8aa8a2a793c632339749f206db2505e614a2a977deb40","observation_id":"9d1e3f18-7a75-49c9-aa30-7c2972ba060a","resolution":{"observed_at":"2026-08-05T15:09:03.235102Z","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":"2026-08-05T15:09:04.023737Z","title":null,"venue":null,"work_id":"4f0eb0a5-7047-4085-9b3d-e451a9c78d61","year":2007},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.238787Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:fc9425e132023562b8833cfa6ea9eed7d36daaa468be08a304ae000c81a6223b","observation_id":"438ad529-c856-48a4-a3b8-28fbb61f13c6","resolution":{"observed_at":"2026-08-05T15:09:04.026564Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:04.013142Z","title":null,"venue":null,"work_id":"bef08431-99f5-4179-9ba2-118008f1d21c","year":2013},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.241404Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:0746622a08088ebced2329f1fb1f3d0faf0d0531da2860455c95a1a7994231d8","observation_id":"e7c636c2-6ace-4233-8151-1ca96077862d","resolution":{"observed_at":"2026-08-05T15:09:04.016731Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:04.003006Z","title":null,"venue":null,"work_id":"21f8f8f1-7858-484e-abe5-57e215e6d2a6","year":2021},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.244140Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:534fae4f72c3a9fb48004c0ca5a74bcff7d3aacec4821b88371b562a2dd66a85","observation_id":"95309bb3-b682-4faf-99da-f2c1c401cadd","resolution":{"observed_at":"2026-08-05T15:09:04.005977Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.250394Z","title":"John, Noah Constant, Mario Guajardo-Cespedes, Steve Yuan, Chris Tar, Brian Strope, and Ray Kurzweil","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.250394Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:8262655e26a1ca5e8b1e5f78322a26b919b8d16e8647f0fd625426146c9fe936","observation_id":"4c4723fe-274e-41f3-b275-771c12c02df5","resolution":{"observed_at":"2026-08-05T15:09:03.250394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.05295","last_updated":"2024-06-08T08:13:22Z","snapshot_observed_at":"2026-08-11T01:27:44.424594Z","submitted_at":"2022-07-12T04:08:11Z","title":"TabSynDex: A Universal Metric for Robust Evaluation of Synthetic Tabular Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.05295","snapshot_observed_at":"2026-08-05T15:09:03.253264Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.253264Z"},"links":{"cited_paper":"/paper/2207.05295","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:c7c16a9eb3398b4339e3f976ac62896e7984e2febae2e1b8bd361302d0d68bef","observation_id":"2d017713-55e2-4c7b-a76d-0ac084b44fb1","resolution":{"observed_at":"2026-08-05T15:09:03.253264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-07T01:45:38.840969Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-08-05T15:09:03.256568Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.256568Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:8484f249e89467765356e17e14ee1c1056ceebdcbf1d167e3d72f6fc51bbab77","observation_id":"eb7ffc13-b792-4565-a62d-9b89c9f0126d","resolution":{"observed_at":"2026-08-05T15:09:03.256568Z","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":"2026-08-05T15:09:03.993976Z","title":null,"venue":null,"work_id":"0fd367d8-6d72-4b37-b567-322d86ebef5f","year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.259601Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:84f997de4aef0cc7ffec3f086eca707cd224802982e85bc146de390363c6ff99","observation_id":"5c452bee-227e-49d8-864c-c94da61283a2","resolution":{"observed_at":"2026-08-05T15:09:03.997257Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.983807Z","title":null,"venue":null,"work_id":"d02b38c7-b7df-4af4-bad1-5540a675bf03","year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.262338Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:2022fe1ef9f7ed97cf12dae4aaff0672261a6ad8eff829fe62094f47393f50a9","observation_id":"b985ab37-55ca-4286-b027-66ebfbee9bdf","resolution":{"observed_at":"2026-08-05T15:09:03.987674Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.265149Z","title":"Mollick, Hila Lifshitz-Assaf, Katherine Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.265149Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:41186b4db1f3d71e60957a3fca5b6c31d9896b66f792645d250a2f00eaf97eb0","observation_id":"2898d90b-b128-41ad-8fbd-e420e7de11a2","resolution":{"observed_at":"2026-08-05T15:09:03.265149Z","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":"2026-08-05T15:09:03.974395Z","title":null,"venue":null,"work_id":"12a41f7c-75f3-4bb6-a602-029dac62d52c","year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.267769Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:eda166ae9b03271060190f782e38a37a812b3aee5af0268a38449bb06241dcae","observation_id":"9229c999-fac0-4057-abba-b4289ac74c5a","resolution":{"observed_at":"2026-08-05T15:09:03.977602Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.964969Z","title":null,"venue":null,"work_id":"042c75e2-58c7-4864-8047-fc661f5e85fe","year":2006},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.270421Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:58a556225d83c0f46881130abb9e9abe0dd8ad6c52acf0f7a92b551161f152b0","observation_id":"ea31999f-f975-4f42-abd0-86255e37371c","resolution":{"observed_at":"2026-08-05T15:09:03.968075Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.29012/jpc.689","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Journal of Privacy and Confidentiality","work_id":"7110cdfb-c24c-4bbc-be1c-b6bfecfdcf0e","year":2019},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.273793Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:3b9f9e52db0dd9e60448e2e34b39ab83e233c222d705c2c85908803b1a6b587f","observation_id":"4f0e2f50-de02-47a3-ba9e-73b3520e6ff8","resolution":{"observed_at":"2026-08-05T15:09:03.473768Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.956163Z","title":null,"venue":null,"work_id":"075a0eca-8398-46c0-8168-22d155e1f9ab","year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.276966Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:7f7efd846706abb6eb6be093dd84e0d17d122425e6f4aa02feee288d848343fa","observation_id":"3d9c4ab9-8667-4da2-a34c-c10e0299b4c3","resolution":{"observed_at":"2026-08-05T15:09:03.959422Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-05T15:09:03.280171Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.280171Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:f9be7f8282790c9b95d7fee9ddd039173da1cff035f1df2c97a1f546aedd4fa1","observation_id":"24ca2ef0-387a-46ae-bb71-67514bd707c4","resolution":{"observed_at":"2026-08-05T15:09:03.280171Z","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":"10.1007/978-3-031-54204-6-10","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:09:03.461165Z","title":null,"venue":null,"work_id":"a1f5bc3f-668f-4b03-a8ae-02c315b4bf00","year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.283920Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:16d87510914149cd3dd6a91db1476ff3c0e456a350db9409a2ed0d90366a63e0","observation_id":"10ac65e1-3f09-412e-9397-965ccccdf70e","resolution":{"observed_at":"2026-08-05T15:09:03.464414Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.947524Z","title":null,"venue":null,"work_id":"4f093838-969f-4295-baf7-b5627ae1281b","year":1978},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.286935Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:729faaaaa49269186fd1fad3599732eb55f674f4dcdcc5303756419fcfd561ec","observation_id":"4ab93ec2-42db-4253-88d7-dcc25953b7eb","resolution":{"observed_at":"2026-08-05T15:09:03.950563Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.290193Z","title":"Johnson, Lucas Bulgarelli, Lu Shen, Alvin Gayles, Ayad Shammout, Steven Horng, Tom J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.290193Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:d9f041c64ee33d4637877832bc8e8113bd93d2887d3f1c3702f442bdb0da51ed","observation_id":"1623f8b8-5e6f-405e-8237-58c3d7e95b2e","resolution":{"observed_at":"2026-08-05T15:09:03.290193Z","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":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:09:03.293434Z","title":"Johnson, Tom J","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.293434Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:f806d71c06d3e873f7fdd9f2056e0985344db2f6e93888516ce1a5b09323a9c1","observation_id":"eb700310-a2d5-4139-a0fe-cb535a4f192e","resolution":{"observed_at":"2026-08-05T15:09:03.293434Z","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":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:09:03.297180Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.297180Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:1947362fb8b43e7917ac4b1a3b92396109740074d45560ae20598c5d389835a7","observation_id":"32fc9fce-18e9-4b3b-90d5-d7394ee461de","resolution":{"observed_at":"2026-08-05T15:09:03.297180Z","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":"10.1007/978-3-642-24861-0-22","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:09:03.443483Z","title":null,"venue":null,"work_id":"ada4ca73-5bdf-4c6a-a860-50a735ad71ab","year":2011},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.301090Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:171fcb9e6af354bc4e485c72cb7965d696bad0c2f1e7713bfbc95cb9558dc4b3","observation_id":"adb5b487-b600-4a4c-8bee-47c8ff4c14d1","resolution":{"observed_at":"2026-08-05T15:09:03.446431Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.304169Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.304169Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:c0f7a0581a814fd5d0d4e520e47d5e6f8f5d3aa626c1498faebb459c022bbc99","observation_id":"dd957b58-c3b6-41fc-9437-53708b5ffa39","resolution":{"observed_at":"2026-08-05T15:09:03.304169Z","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":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T15:09:03.307233Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.307233Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:f3e08b4fd95fb42d38a2aa98afd6e71f33c8b1acdf5725ed37ce0faa30020620","observation_id":"bf73d7af-8376-4e9e-96a1-44e28af7862c","resolution":{"observed_at":"2026-08-05T15:09:03.307233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.02130","last_updated":"2022-05-02T21:53:10Z","snapshot_observed_at":"2026-08-10T01:15:21.393548Z","submitted_at":"2022-05-02T21:53:10Z","title":"The Limits of Word Level Differential Privacy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.02130","snapshot_observed_at":"2026-08-05T15:09:03.310588Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.310588Z"},"links":{"cited_paper":"/paper/2205.02130","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:6f4f9d622a25ab70efb41e6d540c141decaf2e9beec4468adad8e7787edbd217","observation_id":"cf5efdda-481c-457d-b47a-384dccaac608","resolution":{"observed_at":"2026-08-05T15:09:03.310588Z","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":"2026-08-05T15:09:03.316783Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.316783Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:d876838f0872c0ea3ffb2d07d34256f53e8a6eda8cc2acb88370327847b24e97","observation_id":"1c0bf327-c6ce-4a82-970f-566438e43ee0","resolution":{"observed_at":"2026-08-05T15:09:03.316783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12095","last_updated":"2024-08-26T02:26:31Z","snapshot_observed_at":"2026-08-07T12:19:17.525897Z","submitted_at":"2024-08-22T03:08:49Z","title":"uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization","version":2},"cited_work":{"arxiv_id":"2408.12095","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.12095","snapshot_observed_at":"2026-08-05T15:09:03.642242Z","title":"uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization","venue":"cs.CL","work_id":"8ade4bf0-a2ed-4a2b-95ea-e42185cc772a","year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.319782Z"},"links":{"cited_paper":"/paper/2408.12095","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:cc3557db969fe4111df51c3bd45351ddf18a937caa3a72e27f97f3542d29e109","observation_id":"088bb67b-6973-4265-adce-02bcf99a1dc9","resolution":{"observed_at":"2026-08-05T15:09:03.646451Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.932426Z","title":null,"venue":null,"work_id":"229d6a86-3ea2-4e6c-8af2-2778c7319f36","year":2025},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.323708Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:ca2c1a19a248b34c108672cff98bc6f61fa45078efbc54f4e841ebf1d9ace648","observation_id":"48cda4a8-4a9d-4524-91d1-716d098b441d","resolution":{"observed_at":"2026-08-05T15:09:03.935763Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.923931Z","title":null,"venue":null,"work_id":"80436877-5065-4511-a62e-4681608704a0","year":null},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.327101Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:0165ab1b610b879479d4610dcffa6304fbb41f42779a2c25ead627d720dcee4e","observation_id":"05b5bb8b-0dfb-4790-879c-2986d6a91183","resolution":{"observed_at":"2026-08-05T15:09:03.927038Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1609/aaai.v39i23.34678","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Proceedings of the AAAI Conference on Artificial Intelligence","work_id":"d8dd84c0-70b0-415a-b12d-ae4ffabedff6","year":2025},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.334240Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:5626055ae98080a8993263fe4a16bbc652c426ffdd83f70683a7505445cf36e8","observation_id":"f6d8715c-b0e0-4c04-8e29-05a279d20716","resolution":{"observed_at":"2026-08-05T15:09:03.432877Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.904130Z","title":null,"venue":null,"work_id":"6f99b5f2-591d-485e-a823-a61a2c81cc82","year":2025},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.337783Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:07e3f1d940a7f2bd84bd346b9657c93686f2a085eb7d95a863cdbd21edfa1f2f","observation_id":"18e841fa-7dc6-410f-932d-e6373cd44ba6","resolution":{"observed_at":"2026-08-05T15:09:03.907387Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08908","last_updated":"2018-02-24T20:39:51Z","snapshot_observed_at":"2026-07-06T06:25:11.708379Z","submitted_at":"2018-02-24T20:39:51Z","title":"Scalable Private Learning with PATE","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.08908","snapshot_observed_at":"2026-08-05T15:09:03.340744Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.340744Z"},"links":{"cited_paper":"/paper/1802.08908","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:bdef8380dfe029badf53d80af377aee6c5da7efec2c2842271cfc9102388c753","observation_id":"10af61ce-2188-4ad5-b20d-e41747a9a2ee","resolution":{"observed_at":"2026-08-05T15:09:03.340744Z","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":"2026-08-05T15:09:03.344467Z","title":null,"venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.344467Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:04c5d5e72c13833043d5a8a4bd9c1931917ac06d7318e9a3311a7c9ca85ada37","observation_id":"2d9527f5-54f4-492e-91df-46e6f261e977","resolution":{"observed_at":"2026-08-05T15:09:03.344467Z","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":"2026-08-05T15:09:03.895149Z","title":null,"venue":null,"work_id":"c5d65387-6a0f-4502-8eb0-43d6c16e624e","year":2021},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.347875Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:5aa28b322a54d87cf55213e46368402f6034b38c61133ee49d131e41f5c049f5","observation_id":"2bc49124-7a27-407e-9f27-a3ad073b823e","resolution":{"observed_at":"2026-08-05T15:09:03.898661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.20846","last_updated":"2025-03-26T16:06:33Z","snapshot_observed_at":"2026-08-07T16:35:09.046828Z","submitted_at":"2025-03-26T16:06:33Z","title":"Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.20846","snapshot_observed_at":"2026-08-05T15:09:03.351081Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.351081Z"},"links":{"cited_paper":"/paper/2503.20846","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:2ebc104a14d1e44786f62d7dbeedd6860a658c214fe7f5b4c8ccfc761512907d","observation_id":"3992361c-0eb9-4e8f-98f5-e407c4afbeb1","resolution":{"observed_at":"2026-08-05T15:09:03.351081Z","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":"2026-08-05T15:09:03.886680Z","title":null,"venue":null,"work_id":"667b2bcb-4888-4505-bb6c-1429b689f965","year":2002},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.354861Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:bff7bc8c2c4e7c2c39bbedacb5b682d613bdbb48f1128bf810099c9b2bdb081f","observation_id":"489ff103-644d-46ee-82b8-44bebb9b9485","resolution":{"observed_at":"2026-08-05T15:09:03.889716Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.877579Z","title":null,"venue":null,"work_id":"3cbd3c69-56b6-4363-a8f2-2902e630ef6f","year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.358134Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:129147b72b39af4a4717a1a2899c375afa9ee80d501e3ce9adc828a37d630fbc","observation_id":"a1c80e6c-48f3-4be9-b3d5-6caee3c81ed8","resolution":{"observed_at":"2026-08-05T15:09:03.880877Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.866705Z","title":null,"venue":null,"work_id":"aaf3179b-64a2-4b3e-b6e7-1d7051f644d2","year":2009},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.361365Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:8ae19a1c88fac19ebc70d8ae4acd589582ad0f30a4a15154e64dedb12ef49fcf","observation_id":"514cee91-0cd8-411d-821e-e5ad82fd91a7","resolution":{"observed_at":"2026-08-05T15:09:03.870925Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.01749","last_updated":"2024-07-23T19:19:02Z","snapshot_observed_at":"2026-07-06T17:38:59.580242Z","submitted_at":"2024-03-04T05:57:50Z","title":"Differentially Private Synthetic Data via Foundation Model APIs 2: Text","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.01749","snapshot_observed_at":"2026-08-05T15:09:03.368319Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.368319Z"},"links":{"cited_paper":"/paper/2403.01749","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:381f44f3bba35b1d1a0900f784f86eb98697528a0bb2320f33ede0a811818f56","observation_id":"c743cc35-da8a-46d4-b41a-fc0531ce5240","resolution":{"observed_at":"2026-08-05T15:09:03.368319Z","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":"2026-08-05T15:09:03.372173Z","title":"Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, and Robert Sim","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.372173Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:5d3fa8d5b683c30819034a2a3b4fa2b694e14aa7128e38e5d71a47ccd7f7f6b0","observation_id":"c032bc99-b0b4-4d27-a879-a4b9e9176b58","resolution":{"observed_at":"2026-08-05T15:09:03.372173Z","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":"2026-08-05T15:09:03.375573Z","title":"Weinberger, and Yoav Artzi","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.375573Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:0dcdf8fe17fb5b43a523ad3f068f558c881d77f39838352ff9b71f4315cdc437","observation_id":"fa425680-b62d-43af-b817-ddc7bb54c653","resolution":{"observed_at":"2026-08-05T15:09:03.375573Z","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":"2026-08-05T15:09:03.383162Z","title":"Patrick, Paul Fontelo, Hadi Kharrazi, Anthony Faiola, Yi Shuan Shirley Wu, Christina E","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.383162Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:c42324cc223d1d1dbb6e6a5c0f91eead92fde719c728c76ed5e2985cc7bf78bd","observation_id":"c38dc50f-c702-42ff-84f4-6b67fa7a51c6","resolution":{"observed_at":"2026-08-05T15:09:03.383162Z","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":"10.1007/978-3-319-46128-1_16","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Lecture notes in computer science","work_id":"0801d9f7-9ddb-40db-88ec-4e3424e7d652","year":null},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":263,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.232186Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:e8a7e7ab3b1350acacd388aa82b8b95ff3a46419d6ae6089cec6f5c5d6247116","observation_id":"7ce907bf-b945-4236-8d91-5b8eb0431977","resolution":{"observed_at":"2026-08-05T15:09:03.496103Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-05T15:09:03.364780Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":570,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.364780Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:ba4f856c7a554bcf42dc73725bd8369798f6ab9ce60085b9bb2dd7b060e9d02d","observation_id":"b3408b61-d358-41ab-91e9-e456d6f38fb1","resolution":{"observed_at":"2026-08-05T15:09:03.364780Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-05T15:09:03.379386Z","title":"(4 2019)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.379386Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:f3d8549f1c6b1d6135bc38c5e85ca9a32096bc39c1b7e1d71314660e5f82eb3c","observation_id":"7cbaff61-0f32-4886-b02a-325c28f4b8bb","resolution":{"observed_at":"2026-08-05T15:09:03.379386Z","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":"2026-08-05T15:09:03.913805Z","title":"Proceedings of the Annual Meeting of the Association for Computational Linguistics (2023), 4658–4665","venue":null,"work_id":"a07d83d2-1b06-4ea2-9d37-d375d39611be","year":2023},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.330331Z"},"links":{"citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:6253194470633f7049f86347fc3aba4ab04af0dea01002c659212f00856e7328","observation_id":"d194af0a-570b-4e64-810c-ee5e0fd154d1","resolution":{"observed_at":"2026-08-05T15:09:03.917348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.07805","last_updated":"2021-06-15T17:45:26Z","snapshot_observed_at":"2026-08-10T23:56:47.672054Z","submitted_at":"2020-12-14T18:39:09Z","title":"Extracting Training Data from Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.07805","snapshot_observed_at":"2026-08-05T15:09:03.247046Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text","version":1},"reference_index":2650,"source":"pdf_text","source_observed_at":"2026-08-05T15:09:03.247046Z"},"links":{"cited_paper":"/paper/2012.07805","citing_paper":"/paper/2508.20452"},"observation_digest":"sha256:f9b77ff32bb096fe4576610f1ac28257e29ac88c4a4e7eef3da2f1106aea24e4","observation_id":"5a4074d2-053f-4fce-b7a7-fa03fb5fe38e","resolution":{"observed_at":"2026-08-05T15:09:03.247046Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.20452","last_updated":"2025-08-28T05:57:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T16:29:22.774856Z","submitted_at":"2025-08-28T05:57:47Z","title":"Evaluating Differentially Private Generation of Domain-Specific Text"},"reference_resolution":{"displayed":52,"state_counts":{"malformed_identifier":4,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":40,"verified_exact":6,"verified_fuzzy":1},"total_outbound_references":52},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2508.20452."}