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Paper Citation Record · LEDGER

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection

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.

pith.paper-citation-record.v1
2608.01348 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:54.424244Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:21:32.938559Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T21:21:35.275496Z

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 279053cf-1901-4e2c-bad3-2e62ef41d6d1 · outbound

This paper cites Qwen3 Technical Report.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Qwen3 Technical Report

Reference 2

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unresolved
no resolver link, observed 2026-08-07T00:58:52.914600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:52.914600Z digest=sha256:7bbf6091999adca70e03c78bbba76e327305d4e2e8a059ce381c7ed82f84274a

Observation bcae5da0-36e4-4fb2-b347-50c77a9e9aec · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Gemini: A Family of Highly Capable Multimodal Models

Reference 3

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unresolved
no resolver link, observed 2026-08-07T00:58:53.028004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.028004Z digest=sha256:857a0ab976dd21fd4e2f9442b145c7d701b20f1d47462ad3f7e0de19d8ebd6da

Observation 04669119-0cf9-4f79-970f-8d9625e61d8d · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection mixup: Beyond Empirical Risk Minimization

Reference 6

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unresolved
no resolver link, observed 2026-08-07T00:58:53.372003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.372003Z digest=sha256:c5bbc82d87e31c61ca04b2026d71a3acffe7f101eb45893f6df927b8bfa67f16

Observation 4cb4fd31-5aa6-4f71-a528-33ea66b1486e · outbound

This paper cites Lei Qi, Hongpeng Yang, Yinghuan Shi, and Xin Geng.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Lei Qi, Hongpeng Yang, Yinghuan Shi, and Xin Geng

Reference 8

Resolution
malformed identifier
no resolver link, observed 2026-08-07T00:58:53.539027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.539027Z digest=sha256:dcd1244a02feb8887fe644b695a56849dc5016b49b572cf668002a601112be19

Observation 63f9cb26-010e-4b84-b8b6-4f9d94bf6912 · outbound

This paper cites Yuqian Fu, Yu Xie, Yanwei Fu, Jingjing Chen, and Yu-Gang Jiang.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:53.678982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.678982Z digest=sha256:e5c56ece1a37817bea352f51d2e8fbfee62b4559fede9f0b88afe58066b11efa

Observation ad459c9b-c788-401f-92d6-95662e980279 · outbound

This paper cites Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo.

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

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:53.907545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.907545Z digest=sha256:bc57c6513a027a81c5e733e79c01a9bf1247bab847c0968ff8e15130ad9f7f4a

Observation 7b81dfb7-e30f-45d4-b89d-bdcba862b467 · outbound

This paper cites DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection.

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

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unresolved
no resolver link, observed 2026-08-07T00:58:54.189138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:54.189138Z digest=sha256:e6577da1535d26e700461e16ec683848552a453765cacc0ee498b9026f22375a

Observation 9045d735-5f65-4ed0-9390-e8b3cff6a88d · outbound

This paper cites Detect Everything with Few Examples.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Detect Everything with Few Examples

Reference 15

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unresolved
no resolver link, observed 2026-08-07T00:58:54.313179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:54.313179Z digest=sha256:c91b8c7772f3109241e5f6beeab4dec92c1ca9e9ab6e33cc429b825829d67b7e

Observation bf1b6d41-fb5c-400c-b89d-c31bfbb9848c · outbound

This paper cites A.1 More Implementation Details Additional implementation details are summarized in Table 6, including dataset-specific epochs, batch sizes, and learning rate decay milestones.

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

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unresolved
no resolver link, observed 2026-08-07T00:58:54.424244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:54.424244Z digest=sha256:60915a4fb51a9a47f7cbc6988758b98fabe007500b7846e8202f5203cdaf4e69

Observation 3fdeecaa-15f8-4d35-a9dd-3d56cb75ef98 · outbound

This paper cites Frustratingly Simple Few-Shot Object Detection.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Frustratingly Simple Few-Shot Object Detection

Reference 2019

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unresolved
no resolver link, observed 2026-08-07T00:58:54.095640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:54.095640Z digest=sha256:6df603b8a9453f9cb62f5674ff98d9d0eae794271b84bdf7974c34ff1463fcb7

Observation e8169aca-df99-48c4-8699-2469d91f2711 · outbound

This paper cites Raphael Gontijo Lopes, Dong Yin, Ben Poole, Justin Gilmer, and Ekin D.

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

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malformed identifier
no resolver link, observed 2026-08-07T00:58:53.804516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.804516Z digest=sha256:5084da00231c315da7bff3ed453054ae0a089e1d7ee768fa05d87c22c37c141d

Observation dc5bded4-d65d-443a-a156-6d12480d741d · outbound

This paper cites Arthropod taxonomy orders object detection dataset.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Arthropod taxonomy orders object detection dataset

Reference 2021

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malformed identifier
no resolver link, observed 2026-08-07T00:58:53.994560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.994560Z digest=sha256:04402506c59b657a328c465945771a63f9bb45dc43f2551902537566ba4de4fa

Observation 24b15271-63a1-4539-badc-7e015a6de706 · outbound

This paper cites Cd-fsod: A benchmark for cross-domain few-shot object detection.

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

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unresolved
no resolver link, observed 2026-08-07T00:58:53.227041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.227041Z digest=sha256:bb2ced9e439c4d339330aa311abe11a62fff0c5709ca0ddb8b70b6e7ff8c967b

Observation fdc3002c-46dc-441e-8666-f40fdf736944 · outbound

This paper cites GPT-4 Technical Report.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection GPT-4 Technical Report

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T00:58:53.124667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.124667Z digest=sha256:4860d374ff9cb6997554de0f90ab0f1b36fe04c407a4e7b93f7463c2b82be042

Observation 84638058-659f-448c-a828-7858ed1d6183 · outbound

This paper cites Andreas Bär, Neil Houlsby, Mostafa Dehghani, and Manoj Kumar.

Prompt-Driven Simulation with Feature Perturbation for Cross-Domain Few-Shot Object Detection Andreas Bär, Neil Houlsby, Mostafa Dehghani, and Manoj Kumar

Reference 2024

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unresolved
no resolver link, observed 2026-08-07T00:58:53.451618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:53.451618Z digest=sha256:2a0deef0ee4b2c408a58c6f1a911479acc25355721f4b15d3ea8ca511dab9a1b

Observation 6307584e-f536-4b2e-8cfa-38eead5ad540 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

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

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unresolved
no resolver link, observed 2026-08-07T00:58:52.781296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:52.781296Z digest=sha256:091a031b4d06408526b48a92cf0ebe5c468ba362431d630fa8f16dbe091029d1

Pith citing papers

Observation 5e3fe6c7-d7ac-40f8-b505-1762803149cd · inbound

The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering cites this paper.

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

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verified exact
local_arxiv, observed 2026-08-06T21:21:35.279175Z

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.

source=pdf_text observed=2026-08-06T21:21:32.938559Z digest=sha256:f5c3113ebafdb5d7720bb2c7111acb50821c8aa701370cc70a713e333513bf00