Paper Citation Record · LEDGER

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs

As of 8 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.18230.

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

pith.paper-citation-record.v1
2607.18230 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:40:24.530664Z

measured 31 of 31 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact0
verified fuzzy0
unresolved31
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2802f8e1-6e1f-46a9-b661-d30cbeed471a · outbound

This paper cites End-to-end reconstruction-classification learning for face forgery detection.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs End-to-end reconstruction-classification learning for face forgery detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:20.488821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90324884-1add-45b5-b004-844a57fcd8ba · outbound

This paper cites Domain generalization by mutual- information regularization with pre-trained models.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Domain generalization by mutual- information regularization with pre-trained models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:20.557266Z

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Observation 05a2ea32-8c40-4cff-a6ee-81e208d98b43 · outbound

This paper cites AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:20.720388Z

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Observation acc46042-9658-41c1-8f67-72c3d3dd870d · outbound

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

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:20.841390Z

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Observation db8fd57e-a99e-4c21-8056-9c63d6843313 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:20.996932Z

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Observation a3490014-61b0-4a3c-adfe-744a04c53c33 · outbound

This paper cites Gemini 3.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Gemini 3

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.101061Z

Source-reported events for the cited work

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Observation d2735444-5b0b-4802-a8d8-146301ba8689 · outbound

This paper cites Gemini 3.1 Flash Image model card.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Gemini 3.1 Flash Image model card

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.230376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5238939d-51ec-4edb-8bf1-d8f162c4c447 · outbound

This paper cites In Search of Lost Domain Generalization.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs In Search of Lost Domain Generalization

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.303413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708001a9-8309-41bb-8de4-c527920f1c29 · outbound

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

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.353084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad785d0c-3147-4c45-8920-889dd2a4ca45 · outbound

This paper cites Sida: Social media image deepfake detection, localization and explanation with large multimodal model.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Sida: Social media image deepfake detection, localization and explanation with large multimodal model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.470590Z

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Unavailable: canonical work link unavailable.

Observation 2010cc83-5852-481c-983d-d5ee9e4325a5 · outbound

This paper cites Simple data balancing achieves competitive worst-group-accuracy.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Simple data balancing achieves competitive worst-group-accuracy

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.636909Z

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Observation 69dfa2bb-13ff-4aad-be7c-599a97db6f09 · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs FLUX.2: Frontier Visual Intelligence

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.796940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed86b80-777e-4ad9-98d1-599d71dc28f2 · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Lisa: Reasoning segmentation via large language model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.899222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28b921f7-e235-4a60-a1d4-5dc6fc60cc08 · outbound

This paper cites Visualizing the loss landscape of neural nets.Advances in neural information processing systems, 31, 2018.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Visualizing the loss landscape of neural nets.Advances in neural information processing systems, 31, 2018

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:21.996002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5701a878-0a91-4ca3-9f50-bc745750ba54 · outbound

This paper cites Towards Out-Of-Distribution Generalization: A Survey.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Towards Out-Of-Distribution Generalization: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.112192Z

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Unavailable: canonical work link unavailable.

Observation c88366ff-72b3-44f2-a1f3-0a726310112f · outbound

This paper cites Decoupled Weight Decay Regularization.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Decoupled Weight Decay Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.201525Z

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Observation a7f95b73-4018-405d-a31c-7f99c90a02f0 · outbound

This paper cites Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.358689Z

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Unavailable: canonical work link unavailable.

Observation 124c1850-c8df-4715-beb5-55d79e8b4a8a · outbound

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

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Towards universal fake image detectors that generalize across generative models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.464460Z

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Unavailable: canonical work link unavailable.

Observation 3e8099c5-5876-4f59-bbf3-e85c2afc64e1 · outbound

This paper cites Gpt image 1.5.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Gpt image 1.5

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.588454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1eed993d-213e-48eb-995c-aab7fe0ffa5e · outbound

This paper cites Gpt image 2 model.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Gpt image 2 model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.728102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da378bd3-a5bc-4a23-a7ed-9102179932da · outbound

This paper cites Seedream 4.0: Toward Next-generation Multimodal Image Generation.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Seedream 4.0: Toward Next-generation Multimodal Image Generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:23.037527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7f7a71-a207-4362-a0b3-7bb0676a0396 · outbound

This paper cites From masks to pixels and meaning: A new taxonomy, benchmark, and metrics for vlm image tampering.arXiv preprint arXiv:2603.20193, 2026.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs From masks to pixels and meaning: A new taxonomy, benchmark, and metrics for vlm image tampering.arXiv preprint arXiv:2603.20193, 2026

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:23.213737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc7154e-84c0-4756-8330-aab68fbcfc8c · outbound

This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Generalised dice overlap as a deep learning loss function for highly unbalanced segmentations

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:23.351847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8a8dddd-e3a5-438d-be8e-565dcc788c9a · outbound

This paper cites Frequency- aware deepfake detection: Improving generalizability through frequency space domain learning.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Frequency- aware deepfake detection: Improving generalizability through frequency space domain learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:23.491483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 984cc69f-3586-4ad4-9a0b-e50ca4cdf929 · outbound

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

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:23.653589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a63340c-8d4d-4c0e-b687-12ec241cd401 · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Learning on gradients: Generalized artifacts representation for gan-generated images detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:23.838455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e132fe7f-a148-4813-9f7f-21e54dbafaac · outbound

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

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Cnn-generated images are surprisingly easy to spot

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:24.008524Z

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Unavailable: canonical work link unavailable.

Observation a4d3f051-8a4a-411c-8353-8dd08f1e24ac · outbound

This paper cites Qwen-Image Technical Report.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Qwen-Image Technical Report

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:24.210222Z

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Observation 677036e0-06e8-46cc-8bb7-eaaffa8bf3fb · outbound

This paper cites Gsva: Generalized segmentation via multimodal large language models.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Gsva: Generalized segmentation via multimodal large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:24.361467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1d9548-468c-4fe2-bfda-6af84e70ca63 · outbound

This paper cites Domain generalization: A survey.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Domain generalization: A survey

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:24.530664Z

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Observation 7fffe868-6279-44fe-8227-1c048062e835 · outbound

This paper cites Accessed: 2026-06-03.

Simple Domain Generalization for Strong Pixel-Level Image Tampering Detection in Modern VLMs Accessed: 2026-06-03

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-01T15:40:22.851216Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.