{"as_of":"2026-08-09T18:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ee8e681ba872b84aeb9aaab962fffcf1389bb66204eb236e8698437a692fbdd","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T19:15:25.472143Z","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":"2026-07-03T02:07:33.511366Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.01705","last_updated":"2025-03-30T01:49:11Z","snapshot_observed_at":"2026-07-06T19:44:34.642049Z","submitted_at":"2024-11-03T22:27:40Z","title":"Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01705","snapshot_observed_at":"2026-08-08T19:15:25.472143Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06872","last_updated":"2025-02-08T06:50:47Z","snapshot_observed_at":"2026-08-08T19:10:42.419238Z","submitted_at":"2025-02-08T06:50:47Z","title":"Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey","version":1},"reference_index":129,"source":"pdf_text","source_observed_at":"2026-08-08T19:15:25.472143Z"},"links":{"cited_paper":"/paper/2411.01705","citing_paper":"/paper/2502.06872"},"observation_digest":"sha256:76d2be91ddd11149acc4f84e59f5c7108f7775f751d691f0703ecea6427c86ab","observation_id":"8062b654-58f5-4d98-be28-7605204e83c1","resolution":{"observed_at":"2026-08-08T19:15:25.472143Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01705","last_updated":"2025-03-30T01:49:11Z","snapshot_observed_at":"2026-07-06T19:44:34.642049Z","submitted_at":"2024-11-03T22:27:40Z","title":"Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01705","snapshot_observed_at":"2026-08-08T16:16:48.329182Z","title":"Data extraction attacks in retrieval-augmented generation via backdoors","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.10440","last_updated":"2025-05-23T15:35:10Z","snapshot_observed_at":"2026-08-09T08:58:41.204501Z","submitted_at":"2025-02-10T09:15:56Z","title":"Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T16:16:48.329182Z"},"links":{"cited_paper":"/paper/2411.01705","citing_paper":"/paper/2502.10440"},"observation_digest":"sha256:0477b036820385c6e45c232f0e49206c069cbdc1a57e869305057942ea7b3913","observation_id":"f1a118d2-8a52-4343-b724-9a54fd3ebcf7","resolution":{"observed_at":"2026-08-08T16:16:48.329182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01705","last_updated":"2025-03-30T01:49:11Z","snapshot_observed_at":"2026-07-06T19:44:34.642049Z","submitted_at":"2024-11-03T22:27:40Z","title":"Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors","version":2},"cited_work":{"arxiv_id":"2411.01705","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.01705","snapshot_observed_at":"2026-07-03T02:07:33.511366Z","title":"InProceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing, STOC ’07, page 75–84, New York, NY , USA","venue":null,"work_id":"6bd4c354-aaf2-4593-a880-4554b2a67062","year":2024},"citing_paper":{"arxiv_id":"2510.06719","last_updated":"2026-05-12T15:11:19Z","snapshot_observed_at":"2026-08-06T18:05:59.246142Z","submitted_at":"2025-10-08T07:15:50Z","title":"Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T09:49:12.493851Z"},"links":{"cited_paper":"/paper/2411.01705","citing_paper":"/paper/2510.06719"},"observation_digest":"sha256:49562e37cc72f9252f3ab1522e7fc97d48fcdd3b87c85285031421c92c88f310","observation_id":"76526ce7-9ab8-4f8a-93f5-f54558aff9f7","resolution":{"observed_at":"2026-05-18T09:51:13.537197Z","resolver_source":"arxiv_id","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":"2411.01705","last_updated":"2025-03-30T01:49:11Z","snapshot_observed_at":"2026-07-06T19:44:34.642049Z","submitted_at":"2024-11-03T22:27:40Z","title":"Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.01705","snapshot_observed_at":"2026-07-13T17:49:06.893176Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.26074","last_updated":"2026-05-28T05:26:21Z","snapshot_observed_at":"2026-08-08T03:23:24.146011Z","submitted_at":"2026-03-27T05:03:24Z","title":"Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving RAG","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-13T17:49:06.893176Z"},"links":{"cited_paper":"/paper/2411.01705","citing_paper":"/paper/2603.26074"},"observation_digest":"sha256:8f0e8102342c2a8907ce11403a2bc6d22f6eb3e98e32d477d38dd8c7e061a3a1","observation_id":"38cde71c-8a23-49b4-8164-1f55a23a4475","resolution":{"observed_at":"2026-07-13T17:49:06.893176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.01705","last_updated":"2025-03-30T01:49:11Z","snapshot_observed_at":"2026-07-06T19:44:34.642049Z","submitted_at":"2024-11-03T22:27:40Z","title":"Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors","version":2},"cited_work":{"arxiv_id":"2411.01705","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.01705","snapshot_observed_at":"2026-07-03T02:07:33.511366Z","title":"InProceedings of the Thirty-Ninth Annual ACM Symposium on Theory of Computing, STOC ’07, page 75–84, New York, NY , USA","venue":null,"work_id":"6bd4c354-aaf2-4593-a880-4554b2a67062","year":2024},"citing_paper":{"arxiv_id":"2606.10091","last_updated":"2026-06-08T19:16:58Z","snapshot_observed_at":"2026-08-05T00:07:01.562006Z","submitted_at":"2026-06-08T19:16:58Z","title":"SoK: Colluding Adversaries in Machine Learning Pipelines","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-06-27T16:10:51.471822Z"},"links":{"cited_paper":"/paper/2411.01705","citing_paper":"/paper/2606.10091"},"observation_digest":"sha256:85225744a8d595c1d158d3c9a8ee07628fb9c3400b2a96066c7ff4f958977efd","observation_id":"e279c1d2-a791-4d52-8969-6abb6c52eb70","resolution":{"observed_at":"2026-07-03T02:07:33.513230Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2411.01705/citation-record","integrity":"/paper/2411.01705/integrity","json":"/paper/2411.01705/citation-record.json","paper":"/paper/2411.01705"},"outbound":[],"paper":{"arxiv_id":"2411.01705","last_updated":"2025-03-30T01:49:11Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-07-06T19:44:34.642049Z","submitted_at":"2024-11-03T22:27:40Z","title":"Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.01705."}