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Paper Citation Record · LEDGER

Privacy Issues in Large Language Models: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2312.06717.

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

pith.paper-citation-record.v1
2312.06717 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:46:10.244584Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation da75b23e-013a-440e-bd47-aa0596e4261f · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Privacy Issues in Large Language Models: A Survey

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:21:39.895147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:8d0a80e43221895ce4867fbee97d491ed18a232314978ae9af222dfa35df35a7

Observation b8aa719f-6506-4951-884d-4a08d754a938 · inbound

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions cites this paper.

A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future Directions Privacy Issues in Large Language Models: A Survey

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-23T05:02:35.498372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T04:59:36.994758Z digest=sha256:785ad014a143231649022b58f11c6ca6696e5488cfc843dd4f2141d485a3fa0d

Observation f0c379e6-3b3d-40ec-a69f-de096a767e22 · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Privacy Issues in Large Language Models: A Survey

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T00:46:10.244584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:46:10.244584Z digest=sha256:00fe145b25f37254e1aee8c750cbe95cb62d494df9fcf118bb15c8cf951f432b

Observation 0de95584-302a-456b-a748-4a078cd47bff · inbound

SoK: Semantic Privacy in Large Language Models cites this paper.

SoK: Semantic Privacy in Large Language Models Privacy Issues in Large Language Models: A Survey

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T21:40:33.603174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:40:33.603174Z digest=sha256:d0c5768655177185a829d27d212c4008751523dc21a6fc3aeadfa05a10bef0b7

Observation f8a83491-8666-479f-9442-07c51a04a1c6 · 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 Privacy Issues in Large Language Models: A Survey

Reference 219

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.549553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.549553Z digest=sha256:736e40b46b19e934b1f328f55f8f08c3d4964e2e65f8a5f76b2dd48bccc4fba1

Observation 03c452d6-3552-4012-b1d1-a13005cf6666 · inbound

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction cites this paper.

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Privacy Issues in Large Language Models: A Survey

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:00:42.948797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T06:59:23.030671Z digest=sha256:e1de802fe98a948b33701017cdc69df11ac3609b72b7cbb1ecbcbd76cc864406

Observation bb638d4a-9cbd-4be5-b07a-ae477e7a3ed5 · inbound

Understanding User Privacy Perceptions of GenAI Smartphones cites this paper.

Understanding User Privacy Perceptions of GenAI Smartphones Privacy Issues in Large Language Models: A Survey

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:10:51.604530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T19:18:29.955515Z digest=sha256:a18cc06f99cff3ec84555c55db2bebbddd1b4ae92d2712940a177549ef3025a2

Observation 1bab9cfe-9d4a-4072-b04d-f0b69608dcec · inbound

PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning cites this paper.

PrivUn: Unveiling Latent Ripple Effects and Shallow Forgetting in Privacy Unlearning Privacy Issues in Large Language Models: A Survey

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T14:21:05.207624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T22:02:46.840514Z digest=sha256:7bd4666bdec6bd9da17eedbca2c44f32a495d0de5e2296a78d1abe506a4716ae

Observation ebbb7cb2-bd64-47e6-b59e-c527be3d7bbb · inbound

How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study cites this paper.

How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study Privacy Issues in Large Language Models: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:05.718067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T16:29:44.865799Z digest=sha256:30df968c697b199f38739a948d91f26debb430c6960107278d1054e3c544ccfd

Observation fc92ec0f-9e5d-4154-9994-a77b9e979ad2 · inbound

How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study cites this paper.

How Far Are VLMs from Privacy Awareness in the Physical World? An Empirical Study Privacy Issues in Large Language Models: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.369506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:16:36.082783Z digest=sha256:798f1c3565448a05f5076f01d9fd17c4b62f79e04160e92b57bf26daee07b278

Observation db59745e-8a16-4cb3-8607-51275c78ce2e · inbound

Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation cites this paper.

Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation Privacy Issues in Large Language Models: A Survey

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:46:33.047611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T09:40:50.399436Z digest=sha256:7b2ffd85f71d5e42a497a60d3c479f1c07dd560a274eabf866a3b151392b56a9

Observation 302cca3a-8c9f-4354-abf4-7035dc259704 · inbound

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges cites this paper.

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges Privacy Issues in Large Language Models: A Survey

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T01:27:30.969488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T16:33:28.848573Z digest=sha256:d8175483049bfc662ebee0ec92ec143a26f13fdcf2a1b0bb5d5ed99d5650a8f5

Observation 47d1d52a-556c-4f3a-a071-bafac1a251be · inbound

CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models cites this paper.

CheckMIABench: Firm Foundations For Membership Inference Attacks on Language Models Privacy Issues in Large Language Models: A Survey

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-27T01:40:21.256622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T01:33:35.057370Z digest=sha256:941e0522948fa3673d63f5ebb9bb0f3cf11f1015971a532da3ac404dd120dc1e