Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:54.424244Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2608.01348.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:54.424244Z
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 2026-08-06T21:21:32.938559Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T21:21:35.275496Z
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 279053cf-1901-4e2c-bad3-2e62ef41d6d1 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Qwen3 Technical Report
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcae5da0-36e4-4fb2-b347-50c77a9e9aec · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Gemini: A Family of Highly Capable Multimodal Models
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04669119-0cf9-4f79-970f-8d9625e61d8d · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection mixup: Beyond Empirical Risk Minimization
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cb4fd31-5aa6-4f71-a528-33ea66b1486e · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Lei Qi, Hongpeng Yang, Yinghuan Shi, and Xin Geng
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 63f9cb26-010e-4b84-b8b6-4f9d94bf6912 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, and Yu-Gang Jiang
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad459c9b-c788-401f-92d6-95662e980279 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b81dfb7-e30f-45d4-b89d-bdcba862b467 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9045d735-5f65-4ed0-9390-e8b3cff6a88d · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Detect Everything with Few Examples
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bf1b6d41-fb5c-400c-b89d-c31bfbb9848c · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection A.1 More Implementation Details Additional implementation details are summarized in Table 6, including dataset-specific epochs, batch sizes, and learning rate decay milestones
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fdeecaa-15f8-4d35-a9dd-3d56cb75ef98 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8169aca-df99-48c4-8699-2469d91f2711 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, and Ekin D
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc5bded4-d65d-443a-a156-6d12480d741d · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Arthropod taxonomy orders object detection dataset
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24b15271-63a1-4539-badc-7e015a6de706 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Cd-fsod: A benchmark for cross-domain few-shot object detection
Reference 2022
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fdc3002c-46dc-441e-8666-f40fdf736944 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection GPT-4 Technical Report
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 84638058-659f-448c-a828-7858ed1d6183 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Andreas Bär, Neil Houlsby, Mostafa Dehghani, and Manoj Kumar
Reference 2024
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6307584e-f536-4b2e-8cfa-38eead5ad540 · outbound
Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e3fe6c7-d7ac-40f8-b505-1762803149cd · inbound
The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection
Reference 48
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.