Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.01723.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:51:17.626259Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T21:31:15.146243Z
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 68f00f37-6ea9-412c-aede-02cffb35ab00 · inbound
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos cites this paper.
ReVisionLLM: Recursive Vision-Language Model for Temporal Grounding in Hour-Long Videos Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:51:17.626259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae5c2862-6d05-4d1e-80e6-a52788166fd2 · inbound
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models cites this paper.
Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:56:43.164200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4b698ba-035d-4e81-ad05-10a51fb62318 · inbound
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval cites this paper.
UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain Retrieval Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:47:29.879587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 840f00cd-eecd-4131-8486-47c7d342cf7b · inbound
Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment cites this paper.
Contrast-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text Alignment Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T21:31:15.153430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 3fb1570b-0c9f-4b84-9361-fc87ebfe91eb · inbound
Model soups need only one ingredient cites this paper.
Model soups need only one ingredient Towards Calibrated Robust Fine-Tuning of Vision-Language Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:51:56.252950Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.