Paper Citation Record · LEDGER

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

As of 18 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 4 inbound Pith citation observations for arXiv:2506.00874.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.00874 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:39.698639Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:25:15.742028Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:55:15.183855Z

Reference resolution

41 of 41 outbound references displayed

verified exact0
verified fuzzy11
unresolved30
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd99ab4f-ca9a-418d-abe0-d0483ef50a5f · outbound

This paper cites Fakeinversion: Learning to detect images from unseen text-to-image models by inverting stable diffusion.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Fakeinversion: Learning to detect images from unseen text-to-image models by inverting stable diffusion

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.821243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5745a091-62e9-43c9-8ae9-5a582c8c67b7 · outbound

This paper cites DRCT: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection DRCT: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.806509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation dccb8a31-c87d-4e86-93c0-ddca62876af2 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Xception: Deep learning with depthwise separable convolutions

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.791403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a79f69d1-72fb-4443-9940-fd92c7efe11c · outbound

This paper cites Scaling instruction-finetuned language models.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Scaling instruction-finetuned language models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.208536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0931b02-18dc-4876-bfc8-97323ac0b67e · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Imagenet: A large-scale hierarchical image database

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.281828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d7f5b2-eb54-4a98-880f-e0e7c1ab5e3d · outbound

This paper cites Boosting adversarial attacks with momentum.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Boosting adversarial attacks with momentum

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.366742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 836badbc-aafc-45b1-9395-6388815706a1 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Scaling rectified flow transformers for high-resolution image synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.471042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aae2a1a-2309-46c8-bbd6-3ea30c53ffa7 · outbound

This paper cites Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Generative adversarial networks.Communications of the ACM, 63(11):139– 144, 2020

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.552614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ce2461a-f0f5-4dde-bc4e-8f743ef69a09 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Explaining and Harnessing Adversarial Examples

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.619295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e8a534d-efe7-4e0d-94ed-911d1b3b27f6 · outbound

This paper cites The Llama 3 Herd of Models.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection The Llama 3 Herd of Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.702137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 701fe434-426e-46fb-95e6-f95651ba4626 · outbound

This paper cites Deep residual learning for image recognition.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Deep residual learning for image recognition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.764451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df7d480e-a044-4a78-b18e-9da11b00b04d · outbound

This paper cites Deep residual learning for image recognition.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Deep residual learning for image recognition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.720692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2ac0e4a3-1be5-48e4-a5d4-18b4f53ac443 · outbound

This paper cites RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection RIGID: A Training-free and Model-Agnostic Framework for Robust AI-Generated Image Detection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:36.949688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70ee231a-9c15-47ea-8691-9ec834d34445 · outbound

This paper cites CLIPScore: A Reference-free Evaluation Metric for Image Captioning.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.031584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969f1500-47d4-4170-a9c0-5bf8773b40ca · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.122120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36cfd944-e977-4d75-877b-2f5ae0bf2c95 · outbound

This paper cites Flux.https://github.com/black-forest-labs/flux, 2024.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Flux.https://github.com/black-forest-labs/flux, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.198289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 529df50c-f4a7-49a3-8e01-b5e9c5bc1968 · outbound

This paper cites Spatial-phase shallow learning: rethinking face forgery detection in frequency domain.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Spatial-phase shallow learning: rethinking face forgery detection in frequency domain

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.686200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d3b5650f-a58b-496a-8438-3021178842d7 · outbound

This paper cites Global texture enhancement for fake face detection in the wild.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Global texture enhancement for fake face detection in the wild

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.362771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f0a367-aaf8-4d07-b72a-c47b95e5c571 · outbound

This paper cites Generalizing face forgery detection with high- frequency features.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Generalizing face forgery detection with high- frequency features

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.661676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation efe6ce96-bd0a-4361-96b5-93d427ed8a59 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.529760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e99bd0a-fe3d-4da3-9ec3-9635758f9cee · outbound

This paper cites SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.647883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f2545c-d8f4-4118-b881-2f415bbf12bd · outbound

This paper cites Towards universal fake image detectors that generalize across generative models.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Towards universal fake image detectors that generalize across generative models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.726662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c82e59-1ea3-4dd5-97f1-43b629e766dc · outbound

This paper cites Scalable diffusion models with transformers.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Scalable diffusion models with transformers

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.801100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc589c5-38f0-4bf4-8f2a-e44b19ebdffe · outbound

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

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.877237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4b82899-0804-4f96-b61e-d1b4a9cba89f · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.955422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cc5d689-974e-4100-ba55-dbb04e85ecad · outbound

This paper cites Learning transferable visual models from natural language supervision.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Learning transferable visual models from natural language supervision

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:38.052908Z

Source-reported events for the cited work

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Observation 108e1341-c557-4faf-aa76-a360dec2a6a7 · outbound

This paper cites an unresolved cited work.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:01:40.607171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1e7d2782-5e7b-4d06-96b5-5297337f40e4 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection High-resolution image synthesis with latent diffusion models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:38.234998Z

Source-reported events for the cited work

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Observation cf06c67d-5a4d-43d8-9b8f-6718ec049e6c · outbound

This paper cites Denoising Diffusion Implicit Models.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Denoising Diffusion Implicit Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:38.271543Z

Source-reported events for the cited work

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Observation 98fa54b5-60ad-4118-81a7-e911cd24546c · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Score-Based Generative Modeling through Stochastic Differential Equations

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:38.352814Z

Source-reported events for the cited work

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Observation ce615b47-8a99-4d7a-9fb6-ba1dd516570e · outbound

This paper cites Disentangling adversarial robustness and generalization.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Disentangling adversarial robustness and generalization

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.577878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e524575f-5be1-4800-981a-0214e603a0bc · outbound

This paper cites C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.506907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4c238fb-bfe4-49f9-840a-4806fab2d6a2 · outbound

This paper cites Rethinking the up- sampling operations in cnn-based generative network for generalizable deepfake detection.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Rethinking the up- sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:38.746952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 526761ce-769d-42d3-9dc2-bc95a050e7da · outbound

This paper cites Cnn-generated images are surprisingly easy to spot.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Cnn-generated images are surprisingly easy to spot

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:38.879858Z

Source-reported events for the cited work

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Observation a0e89856-5520-4c2b-81ce-1742e85d5b2f · outbound

This paper cites Dire for diffusion-generated image detection.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Dire for diffusion-generated image detection

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:39.021775Z

Source-reported events for the cited work

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Observation d4428307-54b5-4670-b5ea-88644a137a85 · outbound

This paper cites Good seed makes a good crop: Discovering secret seeds in text-to-image diffusion models.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Good seed makes a good crop: Discovering secret seeds in text-to-image diffusion models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:39.107741Z

Source-reported events for the cited work

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Observation 13454f96-3ac7-40f8-bb5a-4d4c0b67337e · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection A Sanity Check for AI-generated Image Detection

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:39.273145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c81ec6c-7c20-40d8-913d-6f272e58acc7 · outbound

This paper cites Golden Noise for Diffusion Models: A Learning Framework.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Golden Noise for Diffusion Models: A Learning Framework

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:39.383437Z

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Unavailable: canonical work link unavailable.

Observation 429c8e81-9894-4b5e-b1b9-c44669addf04 · outbound

This paper cites photo of [ImageNet La- bel].

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection photo of [ImageNet La- bel]

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.253700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6117e330-e9c5-41e5-b0a9-55582e2ddba9 · outbound

This paper cites Using reverse image search is often infeasible for highly stylized or uniquely composed generations.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection Using reverse image search is often infeasible for highly stylized or uniquely composed generations

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.172548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad7f3700-d222-4f27-b8ba-c5b020864c4a · outbound

This paper cites better" initial noise vectors zT than random Gaussian samples to improve generation quality or efficiency, sometimes referred to as.

Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection better" initial noise vectors zT than random Gaussian samples to improve generation quality or efficiency, sometimes referred to as

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:01:40.018792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation c5393e74-a93e-439c-8448-4b50b2ae6595 · inbound

How Noise Benefits AI-generated Image Detection cites this paper.

How Noise Benefits AI-generated Image Detection Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:55:15.186475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6e8405c1-d132-41c5-89fa-ac09529b3403 · inbound

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models cites this paper.

Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:40:46.231096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f9de24a-aced-4d66-946c-f9eb5e8d7c22 · inbound

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection cites this paper.

AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-13T19:51:45.257204Z

Source-reported events for the cited work

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Observation 7db9e251-8725-4afc-9d29-6b1cff75bc35 · inbound

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection cites this paper.

Rethinking the Readout: Unlocking Video Backbones for AI-Generated Video Detection Breaking Latent Prior Bias in Detectors for Generalizable AIGC Image Detection

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T01:25:15.742028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.