Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.04125.
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 2026-08-07T15:20:29.556944Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:50:12.702996Z
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 7b7b485b-7b82-4d58-b0f1-385aaa747aaa · inbound
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts cites this paper.
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:20:29.556944Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 032948fd-752f-4cdf-bded-3d6621f90fbc · inbound
The Neuromorphic Supremacy cites this paper.
The Neuromorphic Supremacy No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:26:24.525369Z
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 a1eed48c-72fc-4932-94e6-cc0b0e5cffd7 · inbound
Data Selection Through Iterative Self-Filtering for Vision-Language Settings cites this paper.
Data Selection Through Iterative Self-Filtering for Vision-Language Settings No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Reference 174
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T09:49:44.874705Z
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 e606f04d-7ae2-45dd-94a5-05457fab8c2c · inbound
On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity cites this paper.
On-Policy Self-Distillation with Sampled Demonstrations Reduces Output Diversity No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Reference 196
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T20:50:12.704654Z
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 216f7082-b215-432a-ab17-c795aaf8bd86 · inbound
Beyond Modality Fusion: Deep Ensembles for Multimodal Classification cites this paper.
Beyond Modality Fusion: Deep Ensembles for Multimodal Classification No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T10:00:17.827281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2497c4ef-a011-4adb-82c7-f809d71b28c3 · inbound
Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget cites this paper.
Boogu-Image-0.1: Boosting Open Agentic Multimodal Generation via Understanding under a Minimal Budget No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency Determines Multimodal Model Performance
Reference 124
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:14:03.708540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.