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Paper Citation Record · LEDGER

Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.08223.

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

pith.paper-citation-record.v1
2306.08223 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:01.404609Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T09:26:51.586577Z

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 f55a920c-c8b8-4afd-bb6f-4236ad28d8ce · inbound

ConfusionPrompt: Practical Private Inference for Online Large Language Models cites this paper.

ConfusionPrompt: Practical Private Inference for Online Large Language Models Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-24T04:58:54.880420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T04:57:55.197897Z digest=sha256:b4090ffa6ed16719c739b647ecdea0cf19552e3ba8931b86fa0334e4b0655eae

Observation 21335cf8-5d49-4f0d-95b6-cb6397575c9d · inbound

LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance cites this paper.

LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T15:07:01.404609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:07:01.404609Z digest=sha256:27b21bd4f941fa48c575633d110af5c6ff7035860f9c1159bfe91280dabb53a5

Observation b6cd725d-dfc7-40bd-9882-6502403b4226 · inbound

What Makes a Good Natural Language Prompt? cites this paper.

What Makes a Good Natural Language Prompt? Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:35.882497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:35.882497Z digest=sha256:fbfd37099423e4d009def425899768af13f5845e2073e3a9cf04da63568cc42c

Observation 59bc73fb-ddaa-4ddf-bc29-127a67dca06a · 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 Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:06:30.152209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T10:19:20.891082Z digest=sha256:0a1b92a262fbe55da1400c8da0d7282f4198a0d703d922ab654c04bfe5a3cc22

Observation d57dcf78-8ac4-41b5-8c66-1a42e403e862 · 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 Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:46:33.059082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T09:40:50.399436Z digest=sha256:4491e4d4927cc6b2d46a015b659d8a6922661ddca4009c586e250217b3c7682e

Observation 6ec34365-5209-45dd-b373-b46984fa0e58 · inbound

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models cites this paper.

SharedRequest: Privacy-Preserving Model-Agnostic Inference for Large Language Models Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T09:26:51.587809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T05:29:47.894226Z digest=sha256:cb2c51178e193bfe4f17bea2fe3346d06d979ced6215271b7eb53248a690dc27