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Paper Citation Record · LEDGER

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.18295.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.18295 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:56:20.240732Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-21T10:04:58.889638Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8fe632d5-e408-4752-ad1a-394b58330a0f · inbound

Provably Secure Retrieval-Augmented Generation cites this paper.

Provably Secure Retrieval-Augmented Generation Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T05:56:20.240732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:56:20.240732Z digest=sha256:70a1d1e7ed9030041a2645f0d8674377c378939ed930fbad09e8483162b1375d

Observation 34a29ea7-8c3a-46af-a8b5-afdbdb0187f0 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Reference 205

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.515086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.515086Z digest=sha256:2b73764708d8bb0a64a5b219c13250f06fd50e96a6954ae09d9f2368bdc6c78d

Observation f8ebe584-3b4e-44f6-9049-6f329ae4a973 · inbound

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) cites this paper.

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T09:51:13.518929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T09:49:12.493851Z digest=sha256:731d764539978e2aa9851e6f083854d2f54d6ffba9c6764d199a9b13b7f5165d

Observation 0f87a458-9827-4d2a-9c74-dfa02ad46705 · inbound

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying cites this paper.

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:45:57.658270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:57:59.918483Z digest=sha256:3e72a3f74525ef57dd8a6510e8b1462e071b3bc4454476db6598950d1e786694

Observation 2355abbd-f0fe-4c26-b1e0-ca3aebc4bcbf · inbound

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation cites this paper.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:04:58.892469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-21T10:04:45.173272Z digest=sha256:31ae71928405b890914c47a6fb613590c881d182013c829611e21b3f2833dc24