Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Language Model Inversion
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2311.13647.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:11:17.678772Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:38:58.164589Z
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 2420524b-ff22-4967-af43-aedef3215485 · inbound
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory cites this paper.
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Language Model Inversion
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:11:17.678772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 593ea95e-1760-4840-b3fd-3f06abdebb2a · inbound
Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey cites this paper.
Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Language Model Inversion
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T21:58:41.076034Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3be7195a-727e-4f37-aa43-2a1debd9adc3 · inbound
Eliciting Language Model Behaviors with Investigator Agents cites this paper.
Eliciting Language Model Behaviors with Investigator Agents Language Model Inversion
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:11:36.108028Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d81a65cc-5a94-45e5-a710-db7b0ea52a54 · inbound
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference cites this paper.
Has My System Prompt Been Used? Large Language Model Prompt Membership Inference Language Model Inversion
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T19:57:45.269733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67848785-9880-4729-8fba-e2a0548ab204 · inbound
Approximating Language Model Training Data from Weights cites this paper.
Approximating Language Model Training Data from Weights Language Model Inversion
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:59:02.503431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a65503a7-cfc6-4c30-9bce-6425a725f1a5 · inbound
Cascade: Token-Sharded Private LLM Inference cites this paper.
Cascade: Token-Sharded Private LLM Inference Language Model Inversion
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:45:52.905233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc66222a-e0ec-4d50-ae97-cab50d9f8479 · inbound
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests cites this paper.
What Should LLMs Forget? Quantifying Personal Data in LLMs for Right-to-Be-Forgotten Requests Language Model Inversion
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:21:33.687986Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fb7d3d3-4ee1-4ac9-a2e0-96861b7229e3 · inbound
inversedMixup: Data Augmentation via Inverting Mixed Embeddings cites this paper.
inversedMixup: Data Augmentation via Inverting Mixed Embeddings Language Model Inversion
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T07:00:24.771917Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c6b5bdc-065e-4104-96e3-e431b190ca69 · inbound
Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare cites this paper.
Why Trust Your Agent? Empirical Security Gains from TRiSM-Guided Agentic Workflows in Healthcare Language Model Inversion
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T12:44:39.634808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 03fb7517-b72f-498d-b705-b49650eb5749 · inbound
Black-Box Inference of LLM Architectural Properties with Restrictive API Access cites this paper.
Black-Box Inference of LLM Architectural Properties with Restrictive API Access Language Model Inversion
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:38:58.166235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation f24e6783-5e03-4c3b-b419-b8901de594a2 · inbound
Can Watermarking Techniques Help Prevent LLM Model Stealing? cites this paper.
Can Watermarking Techniques Help Prevent LLM Model Stealing? Language Model Inversion
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T09:13:20.561611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.