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Paper Citation Record · LEDGER

RAG with Differential Privacy

As of 11 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2412.19291.

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

pith.paper-citation-record.v1
2412.19291 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:50:04.698185Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b70b5da-4ce9-45b5-9ee9-22bdda3db0e2 · outbound

This paper cites Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang.

RAG with Differential Privacy Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.641401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.641401Z digest=sha256:2c17be0d8fd101f0008fae9018e265ff708f337225f998c23136d3bc764f92da

Observation f559aa9f-4b23-4bcc-ba1b-67afe433bd6d · outbound

This paper cites an unresolved cited work.

RAG with Differential Privacy Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:50:04.957499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:50:04.645145Z digest=sha256:5571d779c8aad0aef5a06983f7c16fab831081fbbf69c031cc2801f401251812

Observation 0f113b6b-9abe-4676-9009-96e66e06a9a1 · outbound

This paper cites an unresolved cited work.

RAG with Differential Privacy Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:50:04.947201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:50:04.648466Z digest=sha256:4e7458614c01d0df31d73866dedad48a5052bface7aad10125120980d0b5211e

Observation d2bc6d78-d0ac-4dff-9196-4dfb43df8226 · outbound

This paper cites an unresolved cited work.

RAG with Differential Privacy Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T00:50:04.936749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:50:04.651870Z digest=sha256:8824458828493970e55c9eef3c44bf6c5c7e5bb83501c0fc207e93c8af1cf417

Observation b64c1624-f40a-4ca5-a4cd-b4d41feaf166 · outbound

This paper cites DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer.

RAG with Differential Privacy DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.655168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.655168Z digest=sha256:1f0ec3ba970b7f681752d150c8bf66438661057acf9120725d56cc7f52163a4e

Observation d5faf255-8f5b-4e7b-b014-9ca853e3c64c · outbound

This paper cites DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning.

RAG with Differential Privacy DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:50:04.820537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T00:50:04.658723Z digest=sha256:abe48c0be0bb796c09e6648c312e3d7c050ca3247cafa267da226d5784c89431

Observation cdf81bec-66f4-4a27-a539-73814c01d2b1 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

RAG with Differential Privacy Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.662281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.662281Z digest=sha256:0575a9ca334251a33d488a6589b1b5f54ebdeb7b1c5fdbe5bb43cc2cdf484d09

Observation 7f50e99d-15b7-4440-887b-b7d2d448a4a0 · outbound

This paper cites Differentially Private Synthetic Data via Foundation Model APIs 1: Images.

RAG with Differential Privacy Differentially Private Synthetic Data via Foundation Model APIs 1: Images

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.665715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.665715Z digest=sha256:9ddf8012329db79d86faaf62fe8e59167f9aab1f308bf14af262c7088f099363

Observation ca04958c-0f18-418e-960b-3454689b5b7b · outbound

This paper cites Brendan McMahan, Sergei Vassilvitskii, Steve Chien, and Abhradeep Guha Thakurta.

RAG with Differential Privacy Brendan McMahan, Sergei Vassilvitskii, Steve Chien, and Abhradeep Guha Thakurta

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.668999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.668999Z digest=sha256:5ad153aea885359e2b0341139565372b6eb59a93f3f84ec21ede20b21861e60e

Observation 9bbd6c9b-98d4-4c89-a6a5-95dedec59585 · outbound

This paper cites Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems.

RAG with Differential Privacy Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.672283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.672283Z digest=sha256:41f202d6583087dd4258405077b6328b8cedbc03c6adc318d889f6b3dcadb3f1

Observation 3fa0d1b2-dac0-4cd7-a832-28843b43ea5c · outbound

This paper cites an unresolved cited work.

RAG with Differential Privacy Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.675642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.675642Z digest=sha256:8e1d859d80c210da136a30cda72d6552eb110c8a580517d8acfab567970e5aed

Observation 431fe23c-e2ba-4afe-a574-d3d584cdb875 · outbound

This paper cites Joint Prompt Optimization of Stacked LLMs using Variational Inference.

RAG with Differential Privacy Joint Prompt Optimization of Stacked LLMs using Variational Inference

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.678803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.678803Z digest=sha256:b47a7886bd6f31422b41043a8ba7eae151d71c6a157d5b427c510435fa6c4af4

Observation 7fbae25d-4434-497f-8f0d-a2ab5baa3e1f · outbound

This paper cites Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation.

RAG with Differential Privacy Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.682089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.682089Z digest=sha256:1f897d4285203cedeaaee0e51f8c7fff6abb72ebdf223cc570eead349bee55a9

Observation c82de657-f8eb-4705-a34b-62d88e5307ad · outbound

This paper cites Privacy-Preserving In-Context Learning for Large Language Models.

RAG with Differential Privacy Privacy-Preserving In-Context Learning for Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.685246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.685246Z digest=sha256:682a612a708210b3ab1b2b32f1eb661521cba4cf7856c27890665a5032f86597

Observation 486800a9-8623-4c91-aeae-d5180042d4a3 · outbound

This paper cites Differentially Private Synthetic Data via Foundation Model APIs 2: Text.

RAG with Differential Privacy Differentially Private Synthetic Data via Foundation Model APIs 2: Text

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.688518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.688518Z digest=sha256:38324d0f18026e1de0ba860f3104573b18fad8a2df8f0aace6f8bfc4dab2cadf

Observation c1517f54-b1ce-47c0-919a-906cc4871b82 · outbound

This paper cites Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.

RAG with Differential Privacy Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.691784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.691784Z digest=sha256:65f39ce57d66b81e74d2c0983a236a69934193c5520c82235ced4b33ed26d0f6

Observation f4326bc1-f3f8-4ad4-acb2-91bfbf16f12a · outbound

This paper cites Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.

RAG with Differential Privacy Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.694809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.694809Z digest=sha256:22010e8f69ae127b175b513655e88a0463f38fbeef8c802e28626cd939f968f7

Observation 17ceb20c-168f-4399-9e18-2ce59484d9ea · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

RAG with Differential Privacy Large Language Models Are Human-Level Prompt Engineers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.698185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.698185Z digest=sha256:1d20a7bd64d6a3fe6c4f19bbca30adbec63ce51b536d30105cec043410998b11

Pith citing papers

No inbound Pith citation observations are available.