Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.10785.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:57.062055Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T05:56:57.132675Z
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 2c26cbc3-633d-40a4-8602-45546a00ee96 · inbound
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.
Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models
Reference 99
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:56:57.138941Z
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.
Observation 0f4f7209-3ef8-42a4-8c47-fa12a323c3c1 · inbound
Public Data Assisted Differentially Private In-Context Learning cites this paper.
Public Data Assisted Differentially Private In-Context Learning Text Sanitization Beyond Specific Domains: Zero-Shot Redaction & Substitution with Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:28:47.133348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.