Pith. sign in

Paper Citation Record · LEDGER

Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.06113.

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

pith.paper-citation-record.v1
2412.06113 v1

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:15:37.394807Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:56:38.539525Z

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 c12ac362-36c3-45a9-b3e9-4df981588909 · inbound

ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms cites this paper.

ThinkTank: A Framework for Generalizing Domain-Specific AI Agent Systems into Universal Collaborative Intelligence Platforms Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T11:15:37.394807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:15:37.394807Z digest=sha256:75eefb16b351083f3d0723202c3be984db7fc2fd9c8c1b7d7f645bc35f1e6d2d

Observation 523aa5d2-ce02-40f2-8db3-5f4753b06d50 · inbound

Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences cites this paper.

Towards Aligning Personalized Conversational Recommendation Agents with Users' Privacy Preferences Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T22:01:05.466692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:01:05.466692Z digest=sha256:401273d820b40c618ee627682ed56683762a6f5656a6d3df8dceeb4df76ea129

Observation 79d7aed3-51fa-4fb0-aeb6-6765b123b0ed · inbound

HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization cites this paper.

HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalization Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:23:27.047473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T01:20:31.700040Z digest=sha256:591cb4853cca3c98d57ab807fed9972f8db2785bc47ae21845ec64010da916ce

Observation a948ea74-b05f-40f8-880f-5173aa3828e7 · inbound

Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows cites this paper.

Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions

Reference 128

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:56:38.541161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T08:46:26.613059Z digest=sha256:d318baf919ac71cfa6fa848dabc6d3f4bc5348398d9ba785547e41498eb34da1

Observation cd7950b8-8ad3-4a03-a133-831935eb4512 · inbound

Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models cites this paper.

Selective Token-Level Cryptographic Redaction for Privacy-Preserving Clinical Deployment of Large Language Models Privacy-Preserving Large Language Models: Mechanisms, Applications, and Future Directions

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:30.148592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:19:20.891082Z digest=sha256:5d4aae0caa371aeef7afbbf0321e34dc1418bd2636bfcb219c05a055d46c6131