Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.06611.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T18:40:39.455371Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T06:49:37.452827Z
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 1d56d4ea-3764-4bb7-9870-2772c0e0d79b · inbound
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.
Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T05:25:54.482967Z
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.
Observation 3799bfb7-6132-4847-8641-de8254501949 · inbound
Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AI cites this paper.
Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AI vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:40:39.455371Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0dde52b-c2b0-4523-b6d1-640bb1f05cba · inbound
OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals cites this paper.
OVIG: Optimistic Verification of AI Training Integrity via Gradient Signals vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T06:49:37.454832Z
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.