Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models are Advanced Anonymizers
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.13846.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:46:10.366354Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T22:01:51.956812Z
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 06079a81-84e3-475a-a418-a49fb84f0cd9 · 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 Large Language Models are Advanced Anonymizers
Reference 108
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:46:10.366354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c741d240-fb29-4721-8383-269f607198eb · inbound
Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models cites this paper.
Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models Large Language Models are Advanced Anonymizers
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:12.689457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d507b785-c160-4cfc-ba48-9795b3e2f90b · inbound
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER) cites this paper.
PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER) Large Language Models are Advanced Anonymizers
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:32:46.008390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c938016-6386-4b6c-93f3-637da687ecc8 · inbound
Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution cites this paper.
Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution Large Language Models are Advanced Anonymizers
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T22:01:51.959591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 635c4d65-0989-4bc2-b0bf-d94f5ca21ce7 · inbound
Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution cites this paper.
Unveiling Unicode's Unseen Underpinnings in Undermining Authorship Attribution Large Language Models are Advanced Anonymizers
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:51:06.041835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c13a0af5-a028-4051-bf06-81e3300f01ee · inbound
PromptPET: Privacy-Utility Optimized Prompt Obfuscation cites this paper.
PromptPET: Privacy-Utility Optimized Prompt Obfuscation Large Language Models are Advanced Anonymizers
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:01:21.931756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.