{"as_of":"2026-08-08T16:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9f88ab7d8da1ca6e6c034992a8501755b934a0059130c4445b1f717aae59def1","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T05:56:20.230391Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":3,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-06T05:56:20.230391Z","title":"Unleashing worms and extracting data: Escalating the outcome of attacks against rag-based inference in scale and severity using jailbreaking","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.01084","last_updated":"2025-08-01T21:37:16Z","snapshot_observed_at":"2026-08-06T05:56:18.361364Z","submitted_at":"2025-08-01T21:37:16Z","title":"Provably Secure Retrieval-Augmented Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T05:56:20.230391Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2508.01084"},"observation_digest":"sha256:ee2a71055c479786b552de91a43bff6c4158a1a6c6fe603ecb9542698c334998","observation_id":"f00606c0-a63f-4c5e-814e-3f0024de8c16","resolution":{"observed_at":"2026-08-06T05:56:20.230391Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T20:31:48.551576Z","title":"Unleashing worms and extracting data: Escalating the outcome of attacks against rag-based inference in scale and severity using jailbreaking","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.10404","last_updated":"2025-08-14T07:12:44Z","snapshot_observed_at":"2026-08-08T02:31:17.622343Z","submitted_at":"2025-08-14T07:12:44Z","title":"Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation","version":1},"reference_index":168,"source":"pdf_text","source_observed_at":"2026-08-05T20:31:48.551576Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2508.10404"},"observation_digest":"sha256:80adbea3e5551975e787bd399a3d307f499bd44d98acad1f6ad3f90aff1e6e94","observation_id":"75706d01-b885-4be0-b33b-cda9c9855b15","resolution":{"observed_at":"2026-08-05T20:31:48.551576Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T19:39:09.657624Z","title":"Un- leashing worms and extracting data: Escalating the outcome of attacks against rag-based inference in scale and severity using jailbreaking","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.12175","last_updated":"2025-08-16T22:56:51Z","snapshot_observed_at":"2026-08-06T23:10:25.204698Z","submitted_at":"2025-08-16T22:56:51Z","title":"Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T19:39:09.657624Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2508.12175"},"observation_digest":"sha256:41b0ee23763d383ecf4b40bab7464b3bc47e50b1cd2d97f6435dbf76b1049787","observation_id":"6fd1e5b9-00de-4649-953b-a9ee6e7bb058","resolution":{"observed_at":"2026-08-05T19:39:09.657624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-04T12:43:23.823124Z","title":"Unleashing worms and extracting data: Escalating the outcome of attacks against rag-based inference in scale and severity using jailbreaking,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.02964","last_updated":"2026-07-07T08:30:10Z","snapshot_observed_at":"2026-08-07T04:04:00.776435Z","submitted_at":"2025-10-03T12:53:45Z","title":"External Data Extraction Attacks against Retrieval-Augmented Large Language Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T12:43:23.823124Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2510.02964"},"observation_digest":"sha256:93c39071e43753894c71f87a363a8469317cd79fe00182a557916b34e8edd654","observation_id":"f9b205d6-f8d7-4550-b4b6-713fc5338b5e","resolution":{"observed_at":"2026-08-04T12:43:23.823124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-03T03:57:24.715339Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.06495","last_updated":"2026-06-17T09:21:43Z","snapshot_observed_at":"2026-08-07T20:33:14.891591Z","submitted_at":"2026-02-06T08:44:22Z","title":"Graphs Don't Stay Secret: Practical Subgraph Reconstruction Attacks on Defended Graph RAG","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T03:57:24.715339Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2602.06495"},"observation_digest":"sha256:84737c0d02fdf22c942e2d9c7f5702ddfcfec452a04722e34b2c2cdc1d19f4e8","observation_id":"0c326583-7bcf-4b77-89f0-a62690908c72","resolution":{"observed_at":"2026-08-03T03:57:24.715339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-03T03:04:47.746801Z","title":"Unleashing worms and extracting data: Escalating the outcome of attacks against rag-based inference in scale and severity using jailbreaking.arXiv preprint arXiv:2409.08045, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.09319","last_updated":"2026-06-08T20:08:22Z","snapshot_observed_at":"2026-08-08T00:41:54.596301Z","submitted_at":"2026-02-10T01:27:46Z","title":"Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T03:04:47.746801Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2602.09319"},"observation_digest":"sha256:81131884babb8db33114ae3a1dde40bee9314ab3b1276a33c1792eafc5b0d4a8","observation_id":"63c9bf35-a806-41de-8f47-9f1824f828d2","resolution":{"observed_at":"2026-08-03T03:04:47.746801Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":"2409.08045","doi":"10.48550/arxiv.2409.08045","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2409.08045 , year=","venue":"arXiv (Cornell University)","work_id":"c69940fa-8dec-40a0-b7f1-ca86ff164541","year":2024},"citing_paper":{"arxiv_id":"2604.09747","last_updated":"2026-04-10T07:22:11Z","snapshot_observed_at":"2026-07-06T22:58:34.504325Z","submitted_at":"2026-04-10T07:22:11Z","title":"ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T17:57:59.918483Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2604.09747"},"observation_digest":"sha256:b9d78a0db516b4edf6700642848aebd70a141a0408f5ad27cf43c4dfbc45c9ad","observation_id":"2203f6b0-c840-45fa-89a4-579d7ffa43c6","resolution":{"observed_at":"2026-05-11T05:45:57.680222Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":"2409.08045","doi":"10.48550/arxiv.2409.08045","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2409.08045 , year=","venue":"arXiv (Cornell University)","work_id":"c69940fa-8dec-40a0-b7f1-ca86ff164541","year":2024},"citing_paper":{"arxiv_id":"2604.10717","last_updated":"2026-04-12T16:28:09Z","snapshot_observed_at":"2026-07-06T22:59:18.756089Z","submitted_at":"2026-04-12T16:28:09Z","title":"Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T15:20:30.029648Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2604.10717"},"observation_digest":"sha256:5ab400255d261c6b84584a470532434f6d4f774cfd585d73e4d8ad6673b2dedb","observation_id":"e8172605-8999-4e48-9fab-433a6485bfb8","resolution":{"observed_at":"2026-05-11T10:46:02.399816Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":"2409.08045","doi":"10.48550/arxiv.2409.08045","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2409.08045 , year=","venue":"arXiv (Cornell University)","work_id":"c69940fa-8dec-40a0-b7f1-ca86ff164541","year":2024},"citing_paper":{"arxiv_id":"2604.15958","last_updated":"2026-04-17T11:23:59Z","snapshot_observed_at":"2026-07-06T23:03:26.308324Z","submitted_at":"2026-04-17T11:23:59Z","title":"A Case Study on the Impact of Anonymization Along the RAG Pipeline","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T08:53:39.628920Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2604.15958"},"observation_digest":"sha256:3056ced908ff2db70dae2e766d1bc2a44ab1bd610eb9960965a7bef0d47e0c64","observation_id":"b5425ddd-ccf2-431b-88b4-9202e88386dd","resolution":{"observed_at":"2026-05-10T08:58:12.283050Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":"2409.08045","doi":"10.48550/arxiv.2409.08045","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2409.08045 , year=","venue":"arXiv (Cornell University)","work_id":"c69940fa-8dec-40a0-b7f1-ca86ff164541","year":2024},"citing_paper":{"arxiv_id":"2605.18762","last_updated":"2026-04-10T08:26:40Z","snapshot_observed_at":"2026-08-03T10:46:28.403539Z","submitted_at":"2026-04-10T08:26:40Z","title":"ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-05-21T10:04:45.173272Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2605.18762"},"observation_digest":"sha256:1366446f23d99a9bee79de35af0023e181b1c25898079d24987efd3fa2465de7","observation_id":"682bda91-efa4-4914-8417-cef5191ffe41","resolution":{"observed_at":"2026-05-21T10:04:58.918767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking","version":1},"cited_work":{"arxiv_id":"2409.08045","doi":"10.48550/arxiv.2409.08045","metadata_source":"arxiv_reference","pith_arxiv_id":"2409.08045","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2409.08045 , year=","venue":"arXiv (Cornell University)","work_id":"c69940fa-8dec-40a0-b7f1-ca86ff164541","year":2024},"citing_paper":{"arxiv_id":"2606.24623","last_updated":"2026-06-23T14:21:41Z","snapshot_observed_at":"2026-08-08T02:58:34.081443Z","submitted_at":"2026-06-23T14:21:41Z","title":"Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-25T23:45:30.802231Z"},"links":{"cited_paper":"/paper/2409.08045","citing_paper":"/paper/2606.24623"},"observation_digest":"sha256:aeb7dcad3fcdfa0691acad7632e908637ac03ccdaad67113777a8e4183302554","observation_id":"bf051bc8-9d5b-4e7a-af7d-c81decdffdc9","resolution":{"observed_at":"2026-07-04T17:20:00.957261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.08045/citation-record","integrity":"/paper/2409.08045/integrity","json":"/paper/2409.08045/citation-record.json","paper":"/paper/2409.08045"},"outbound":[],"paper":{"arxiv_id":"2409.08045","last_updated":"2024-09-12T13:50:22Z","latest_version":1,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-05T17:51:57.166067Z","submitted_at":"2024-09-12T13:50:22Z","title":"Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.08045."}