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Paper Citation Record · LEDGER

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

As of 7 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 2 inbound Pith citation observations for arXiv:2506.03007.

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

pith.paper-citation-record.v1
2506.03007 v1

Coverage vector

measured 82 of 82 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:49.198799Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T11:16:44.986901Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:26.574530Z

Reference resolution

82 of 82 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved74
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e64ed27f-6ef6-4b45-87c9-50e935da49fa · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-07T11:16:42.047846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.047846Z digest=sha256:1df8dc462012bc8be05b8873cdf65cc0f3d45becf30ecddfa57244348ec81305

Observation 441826ec-0241-42ef-aa3d-bc73883ba98c · outbound

This paper cites Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Reference 2

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verified exact
local_arxiv, observed 2026-08-07T11:16:50.818574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:42.123704Z digest=sha256:033e9debfa0f215b1aef95b0fc8fc825e1ae2126e6d861a3eaefac4523853f42

Observation 03a5b0cc-2eaa-44f8-a421-300b8d789de9 · outbound

This paper cites Qwen2.5-VL Technical Report.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Qwen2.5-VL Technical Report

Reference 3

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no resolver link, observed 2026-08-07T11:16:42.230471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.230471Z digest=sha256:130ae59a6c26ee2bdf302b8c935de28a9ec90b8e32bf01bb98f58daba4d322bb

Observation 8369b948-28a9-4069-aa8b-3c6b0e5210dc · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 4

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no resolver link, observed 2026-08-07T11:16:42.325727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.325727Z digest=sha256:254845864b9f331b53b78fc7eca71e1286f40e18fcc899b9a087fdc9015ac25c

Observation 86929f05-5294-40e5-bccc-aecd8ff0b996 · outbound

This paper cites CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Images

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.411625Z digest=sha256:0060f71e00fa5a1ba0a6d24c848ce1db49cd5916ca8256d56aad21f91a5e9b1a

Observation e801ce80-c63a-4ef1-b5ad-3be93c27bfe6 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 6

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no resolver link, observed 2026-08-07T11:16:42.487436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.487436Z digest=sha256:5874fc32893924dbfad05489fbbcfa0f9b6030680ca32e87ec4bd7ec49c2e2ab

Observation 59d47fe2-c98d-4a42-8979-dc677ed45ee1 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 7

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raw_fallback, observed 2026-08-07T11:16:59.602538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:42.556672Z digest=sha256:3e40a9ca2e9e4ba17061f0c33fd791abe3c83c6f5c230f69230cb93f0f7f57bc

Observation b5ec0a75-a991-4b0b-b843-6d9e8cc6d1bd · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-07T11:16:59.414498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:42.620720Z digest=sha256:adc333557ec2c9a3837f2c4ce26ab84414f7ce79baca86df0acb8c24f6c25e74

Observation f4f33327-6686-439d-b9be-9dda775b1856 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-07T11:16:59.249466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:42.682228Z digest=sha256:c7414a77873d2f257666c73b268753df9927d9e39cdb8f140fa900a1ad4aee93

Observation 5e240714-fc6e-42ac-8ed2-50758819f75f · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.752847Z digest=sha256:78d004a7912a1919903ed62bc1f2a4858e0e9869fd51ad96ee3809b63b503039

Observation cb4e23ed-13fe-4d56-9120-d78609227f44 · outbound

This paper cites DiffEdit: Diffusion-based semantic image editing with mask guidance.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DiffEdit: Diffusion-based semantic image editing with mask guidance

Reference 11

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no resolver link, observed 2026-08-07T11:16:42.820616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.820616Z digest=sha256:ae2235aec5d98a891e1f9dc68eb905511e2c8083aebcfbf3fb9b4c6874f0d1de

Observation 6f65870d-8ef2-43e6-b771-a7b87c53f1df · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-07T11:16:59.068540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:42.905777Z digest=sha256:55e736b3f29e30cd9072aeacd7899dbd5807a351517158e1c55a22415ba05488

Observation 37c23299-3855-48a5-ae6f-f3ebb672636f · outbound

This paper cites Autoregressive Video Generation without Vector Quantization.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Autoregressive Video Generation without Vector Quantization

Reference 13

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no resolver link, observed 2026-08-07T11:16:42.997910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.997910Z digest=sha256:67bfe67ef92f304069f1ccdc83c8632b93c9caa143235dcd34068d21f8b86119

Observation 2b11dfe2-c130-4192-ab11-c0c67172a74e · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 14

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raw_fallback, observed 2026-08-07T11:16:58.898220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.080354Z digest=sha256:ad5e304f04caded53d583f1a6f348819bafe47eb54295101b5d8152a6f8ed68a

Observation 30fe278c-ad3b-4029-bfde-1255578f93c0 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-07T11:16:58.628595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.137147Z digest=sha256:ae6a6c60c8b874e94ea39ae581624e39b7e9535fe103e3de64ba8b823e65f65d

Observation 1d9c0286-0fc9-4d62-b437-6221c6999253 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.225182Z digest=sha256:4d4c37415c99ea611f0342fcf39c3647be7a14768ef559757796d6dc87a08259

Observation 9daa756c-2ee4-42cf-83ec-f31a7a4ed30d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.286712Z digest=sha256:d8bff8bddaaee1c5350f93c4e46178eb1c52762525158839695950f5e9c4693e

Observation 81ce8c52-4ff8-42cf-af08-40ffcca89817 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.392225Z digest=sha256:3de62bd5b831fe1205e64e268f69b1edd68892b423dc7bfac416058c37ca5c69

Observation 04108ab3-979f-4d47-9b27-9d71d3ba853f · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.483515Z digest=sha256:9f259c73e8abea0c5eb075541f80e6c76a567547bbb4f27e2046dd493e53365d

Observation d51a89ce-e9d7-4f2a-a8e5-b948d636ade2 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.570304Z digest=sha256:d50f52d1396c8d668a82009ca5cc3d0245084a755539eb35561921a541f3e3e4

Observation 02c24897-aabb-46dc-bc09-71495c95a959 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-07T11:16:57.235071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.678260Z digest=sha256:268b48114662af909eba8527aa573b059f697767bb50a02d1836197abdae1197

Observation 66c7d782-0290-454b-83e0-9fa42fa3458f · outbound

This paper cites Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Infinity: Scaling Bitwise AutoRegressive Modeling for High-Resolution Image Synthesis

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:43.758327Z digest=sha256:d1271caf1a288d29eb3eead49b0c3ffd905aa79caa1432f31ab2810a06c89acf

Observation 5d6c1911-30cf-4b42-abdf-388281b4c9e2 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.825390Z digest=sha256:793651f39671ee614efac2057bdbc91e70e3ad8fde8c3d1a4941342fde051140

Observation 5822f85b-d458-40ac-a130-1066baa61c7d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:43.903417Z digest=sha256:8262a27112069489ea8512bb118e7bd9ac0c2fe120e3d3f5a1b759633445f898

Observation ffb37659-bcbc-4cef-8a15-a406b0667597 · outbound

This paper cites CogAgent: A Visual Language Model for GUI Agents.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models CogAgent: A Visual Language Model for GUI Agents

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:43.994161Z digest=sha256:959eb99fb539a0b8d7fc62717aba5c497a1f9897a5fb6a1596eac9a90fe05eed

Observation 6c710e67-e556-4822-a2b3-afc4f6524f1d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-07T11:16:56.611790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:44.085066Z digest=sha256:a2a6b93a2d8b0f42cb508077fa99575b6655b5c66463c579e558362ca86077fa

Observation be847bc7-1b64-4cc4-825b-084162e190ab · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 27

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raw_fallback, observed 2026-08-07T11:16:56.391256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:44.189737Z digest=sha256:ebcd297387f94e26f66df9e7ef9ae0d48ed87829d33614c22cd7a06da17468e7

Observation 394f00f8-ddca-4806-a033-14c5d0bfa905 · outbound

This paper cites SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models SIDA: Social Media Image Deepfake Detection, Localization and Explanation with Large Multimodal Model

Reference 28

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no resolver link, observed 2026-08-07T11:16:44.307327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.307327Z digest=sha256:0a45fb9f4446700df5e23036f6dfa8465e77a02dc0c6f2dbbbc35b62ac9a503b

Observation a49e9d9e-fd53-44b3-8310-c1cf0589e981 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-07T11:16:56.173525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:44.392291Z digest=sha256:9bca43c33f69763b7327a3fa154516905f9121a8f0c972d0d3cbb2f529b363be

Observation d5077d7d-9221-43a5-8c49-5a34ab3bd640 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 30

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raw_fallback, observed 2026-08-07T11:16:55.942400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:44.461312Z digest=sha256:e1ef82a5fc3c9b5c1ca2edc322b7a884855ced9247b7f5d8cdcb573cf20566cf

Observation 4fb52b2e-f917-4bd9-a4b7-96bed9739c72 · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.555003Z digest=sha256:15e1d70bb23891344a887fab4c344fd01e62a5e5eec6dc8941fc2e9c5cc5ff16

Observation 685afa11-fd3c-4d22-8c43-fc9159bf8dd4 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-07T11:16:55.703758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:44.623111Z digest=sha256:a26d22d7d9198f1834de7821f0e645ece2c9ec3f6518e0079b48d18d8d46ea20

Observation 1e0c32ed-33c4-433b-84bd-04bea9933bbf · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.705137Z digest=sha256:2e31fa0c4160f8f59968b376fd6e629905b2865899c84f5a5a0a709f819361e3

Observation d5869957-0a90-4786-9d80-07e5b2634b97 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:44.809516Z digest=sha256:1aaf67888f8811d6ff10df9d1bd2f118c897cf792ff67fcbecb3705a9686e024

Observation 2c4b4462-edc2-40e6-88e8-5153877a953b · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LLaVA-OneVision: Easy Visual Task Transfer

Reference 35

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no resolver link, observed 2026-08-07T11:16:44.884184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.884184Z digest=sha256:c65deedd5fbe02be7db533298fee4751249fc7905e8aef74cace62f665ba264c

Observation edb2cdca-5419-4822-b62c-e7f2ac738f26 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-07T11:16:44.986506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.986506Z digest=sha256:d39bed2ce782145990d00ab2aeb9f6a0b9beca17ca17a1823219d7398b4f516b

Observation 71ddb09f-9ca1-4b1d-aa5a-6e3e07673ac3 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 37

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unresolved
no resolver link, observed 2026-08-07T11:16:45.182318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.182318Z digest=sha256:e8cff95baf3a5bd49a6edeac07c8def0673180d1bd33d5a36137c0b46ee502cf

Observation 1c8b45e9-868b-4d6b-a3f5-64b6fb88bb90 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:55.230804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:45.280762Z digest=sha256:8688a6cbec4151f19b62090d991503738994f07899d49f8ad69cf26727ec7cfb

Observation a631f7b4-ed42-405a-851a-acb01ecf3590 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T11:16:55.009009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:45.419921Z digest=sha256:70efc0a45e9ecf36d1c53882adf0066263bffcc27f6b75a0a39c1070a8121cb9

Observation 9bb057bb-f4a6-440e-97af-af5c8103a26d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 40

Resolution
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raw_fallback, observed 2026-08-07T11:16:54.818092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:45.542362Z digest=sha256:0316f81529b955959a12a1eab3a459ef1b3f8fd37d50df6601f56d896ea43356

Observation 59049b28-df2e-4866-8f89-9fe35c3e4169 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.652119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:45.670585Z digest=sha256:d4a089f5aea9e1aab8edec85d4261beaa0b8be405723184d0df2fa9a7faf05e1

Observation 477aa9bd-7334-44da-a0b2-8b7102a73ebc · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 42

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no resolver link, observed 2026-08-07T11:16:45.779536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.779536Z digest=sha256:34abc560d5f5b59b874cd08180e13c8ea0b5590b5eea3cca46d56be5459643e8

Observation ee3311e2-8616-4315-98b7-ded72ecf673a · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.465523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:45.919887Z digest=sha256:1e4f455fbff1917e2af1fa23b8071eedf99de46098114a675f51c34caa8ab93d

Observation 549171fc-43ed-4811-adc2-c35545fdf6c4 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 44

Resolution
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no resolver link, observed 2026-08-07T11:16:46.000956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.000956Z digest=sha256:21eeb9f17f45962ca257ef2dfc6774057d0bf7f4a71131caaf6faa95e17f636b

Observation 33378141-1ee6-4a00-a6b9-de7200537e7f · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.286730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:46.088524Z digest=sha256:5fbc32bc01df5f509c4c9f6069e0c2bc8e0c21fd2da7e4056eb11eced06317c8

Observation fcbb6e70-70be-4de0-9bd2-d8904d710c20 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:54.129351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:46.172607Z digest=sha256:88e7da2eca090510a2ee0fefa879ebb7e25d4691e18a25b9072d9c7950c41d47

Observation 9b6f990e-5e7d-4a43-aa3b-f46c62bb2636 · outbound

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

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 47

Resolution
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no resolver link, observed 2026-08-07T11:16:46.265643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.265643Z digest=sha256:d06db23fb416a341e6289646b529e0f3890e78ecc5a9dc7efc5a919dd4e40033

Observation 92fed15a-c4bb-47c2-a22a-daf46d6b5ab4 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.928618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:46.347591Z digest=sha256:494cef307963ab388b002fe6cbd73aded6961d9ba0a165edb8108b288c26529b

Observation 89d89f47-1adf-4c2c-9329-f0ab1e7a3c9b · outbound

This paper cites Towards Explainable Partial-AIGC Image Quality Assessment.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Towards Explainable Partial-AIGC Image Quality Assessment

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:50.185147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:46.449297Z digest=sha256:d3fa4de2508fe12bec8ebbd26e60b9ba19bab57807b47e65e51cf4239e1ccf5e

Observation 7d34bdbd-2243-4c1e-a5c8-b437102c8b88 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 50

Resolution
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no resolver link, observed 2026-08-07T11:16:46.543358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.543358Z digest=sha256:77d866db91cd854edf5964048df902d5b386579ee450a50ebf826eb0f7cebdd9

Observation 9c26c032-bfb3-43a9-946f-04815ad84b03 · outbound

This paper cites DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:46.653211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.653211Z digest=sha256:656259835d318747cf82440e85f05dcecfc6e32ae950882f9af69d0d3a282a0c

Observation 38f45a67-e598-45cb-8dc4-79e84163e6a4 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.735297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:46.747650Z digest=sha256:5daa46e789f57acbaadab28064004fc48d74d9b2ecd4bb523ab0d0a573a58901

Observation 9747b4a1-1fe1-4561-8bab-e64cfd4c99f4 · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 53

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no resolver link, observed 2026-08-07T11:16:46.870897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.870897Z digest=sha256:2930cefccde024acc05279a9c44902d50cbc423e426962a51e85fbcbb0312ace

Observation e687ef71-3283-4728-b4a7-207f03db9317 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.372455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.054329Z digest=sha256:13ef4efa503be0cfbf7aa1a04bf72f141adb4d4db7dcbe8819a20f6fb143f540

Observation b4d7d2eb-1682-4314-96df-a645b3f4faa6 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.196166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.135624Z digest=sha256:6f13374ff8dc40af36f427686611b236a027e61b6d97bd260b4f42d38009e77b

Observation 3fa2891f-fba6-42c9-9efd-b91f702dcfe5 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:53.001256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.238401Z digest=sha256:0027fbbb06b6c456962d0d179393b5337ccec56f01e099f8ee695c3db15fc2fb

Observation d8af01e5-7b75-47e3-bf37-076c94229c0d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:52.774017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.330098Z digest=sha256:6595b20a58519b4265b548a883629b00a01c681baf1c346d10701d87c767bb71

Observation 7bb7b4ee-ec6a-413e-93e2-24b6e08f14ce · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:52.499435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.406987Z digest=sha256:3cff40a688d534d88db7f1fac2734a296a0041cc0498cc72b003da295c4261a5

Observation ea652983-a7d5-42ec-beb5-76a4e9f08b94 · outbound

This paper cites LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LOVE: Benchmarking and Evaluating Text-to-Video Generation and Video-to-Text Interpretation

Reference 59

Resolution
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no resolver link, observed 2026-08-07T11:16:47.490821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.490821Z digest=sha256:f7b9414a5ca25289860004a5e19bbfba93a936ee5c68cb270da4e0e25547bf29

Observation e691b564-4941-4df1-9c0e-78e22c1c8c32 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:52.158469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.580440Z digest=sha256:7079b9e0137fbecec24b187ad6afbf452148dcb7acd13f0a68d13ee010bfc609

Observation 204bf254-ad1c-4b2e-8113-0dd1d3103e75 · outbound

This paper cites Quality Assessment for AI Generated Images with Instruction Tuning.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Quality Assessment for AI Generated Images with Instruction Tuning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:47.664195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.664195Z digest=sha256:d6d708ab452ce2e48603e2f7e2d31ef70c894dfac75a19227a5a04da4f3ebf8c

Observation b1c61488-18d3-411a-8a90-74133dec162a · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:47.751554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:47.751554Z digest=sha256:c58a2f284dbef9a81da03c4688e0d22fce7e2b4b77a3c6169607ac62b7a327cb

Observation 78fb0a04-10f9-47bd-957e-945109f81fe3 · outbound

This paper cites LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:49.911290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.914645Z digest=sha256:18d1413ddc796d59d2a8a59bd6d5afe5ad5535d631e8c89d36c1293dd71a7f04

Observation 6b3a87dd-3d05-4381-97aa-854fd3977eb7 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.793707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.020993Z digest=sha256:17be0b179b68ecac8c29602abc633b72ff27baf8366e53752b6e9c12534051b2

Observation dd8930cd-abd6-4b87-8f89-d2b21b3fb8f2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.155979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.155979Z digest=sha256:b673f6a1b0d376c0ce086f3b50ba1091cabe2bcf60c351c7cb36d07d197c921a

Observation e5f1fe6f-0725-4b21-a069-f5223c731576 · outbound

This paper cites FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.254679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.254679Z digest=sha256:ea744c1e19d977bab0243657094a01151e61927f24637f440d23ae0f40a00e4d

Observation 2f98785c-0af8-4a05-a967-5270f59b7d8a · outbound

This paper cites Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.328410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.328410Z digest=sha256:a1a95abaf1e91a17a5766c71538eab86478e2b2d39a4d5a9e5baedeb4591cf58

Observation 07e25b8e-f93c-4876-8e12-713b36bcb2b7 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.638625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.080197Z digest=sha256:da1e57aa68983e5291dcf47501b55ade2d9611fa4b442f3cc35f6e6330e44182

Observation b2a37fd7-9c73-4cf6-b90c-c87c3ab35e2e · outbound

This paper cites Benchmarking Deepart Detection.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Benchmarking Deepart Detection

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.474408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.474408Z digest=sha256:dc7d2b96518ede2a7bc8d450526beeaedf7c94f8803e5c4fd9eeff6e7144a167

Observation 23a21e67-b88b-402e-a052-7c358f6b5bbf · outbound

This paper cites Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.565761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.565761Z digest=sha256:a40bb19116392e00a71c4560fe5d0530f1882a71d329a16bc8ddf6f0c7e6c2ce

Observation 41022d82-c2e9-4180-a823-bb1c4fec4e50 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.507155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.649396Z digest=sha256:dd6f2323f0e2bc80481bcfce4dc1a9d7cf984ced402bb0723d8b6ca1ef6947ab

Observation 2d06c8ec-092d-4eca-888b-3a33dcb763e8 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Emu3: Next-Token Prediction is All You Need

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:48.398815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:48.398815Z digest=sha256:10b44b1b28e5cc58ce1400d6c37427fc53a22ae3aba9188ed45af14d2d6e1924

Observation 8aad04c6-6636-4789-a5ba-529c766180c0 · outbound

This paper cites LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMs

Reference 73

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:49.459166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.803314Z digest=sha256:14ae4a0061c777fe3af1e131ada13466016d9d8add3d88e21ce7efda31ae7c3d

Observation 51c26781-cbe1-4392-a654-525ae94b704d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.370766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.872557Z digest=sha256:6364664e9f4f474e4fce9c024b4d3b301a473101a075301635b1e88cb7262cde

Observation 729f3741-34f9-4d80-b2d9-f9b5e0d5b261 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.252034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.951648Z digest=sha256:54ac4e539d8eb4faebe54a649b7df3f3efc8212c9ed4cf2aafa8cbe41f5012a8

Observation 040e8bee-28ad-446d-81c0-3f9be67cf0fa · outbound

This paper cites HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-07T11:16:49.600006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:48.730561Z digest=sha256:140c082d0b0cc03d7034368ba401904cdb804046bcb454ed887a33493b12d0d4

Observation be23f1da-7310-49fd-bb68-66f1d9bcded1 · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:51.115338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:49.116059Z digest=sha256:e05c419ac4ee98fa1193eb035b04e66fcfb9b7e30003c27724c1c769367e1bec

Observation 381408da-bb1d-4e54-9183-272ffd4aca6d · outbound

This paper cites an unresolved cited work.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:16:50.976400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:49.198799Z digest=sha256:9a98c93412b6590d7931c8292a135cdb6fa705b0114fca4f89178da2dac56a0a

Observation a6ab00da-b201-4119-b324-4f42c3d93780 · outbound

This paper cites InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:49.042506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:49.042506Z digest=sha256:6c7d24064d2ed7ab227c23fee4c33d45d560df7ca706e24d968d3cb0753077a9

Observation 199c6f89-fcdd-46c8-a07a-b16526416c9c · outbound

This paper cites In Proceedings of the 32nd International Conference on Machine Learning (ICML).

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models In Proceedings of the 32nd International Conference on Machine Learning (ICML)

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:16:53.557221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:46.959045Z digest=sha256:ca83f42ca304eef3b57d02f13b1147ba877efacc608378197ab45c738036a3d6

Observation a644b549-641f-46fe-822c-c6fa7f9ebeec · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T11:16:45.092028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.092028Z digest=sha256:c1495587e5c4e27d679887625261614c197205d452108d03089241c7be2f9e4c

Observation d2fc01e9-70f8-435b-b99f-41a106cbabc1 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:16:51.958297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:16:47.835823Z digest=sha256:2e00830fa994355ca8688ff36ce622bd70d710f20b4060f9bfe26f6d4a7892da

Pith citing papers

Observation ed74a17e-2c31-4197-a973-2a29c9e4a788 · inbound

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection cites this paper.

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:05:38.949482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T02:04:49.742067Z digest=sha256:2edfd7a98c439d14f17334ca139a8e2d21b0a9ac596b64571f6da2d55ae70400

Observation eac01474-8d4d-4df8-aa1d-72fd314036cd · inbound

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation cites this paper.

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:06:26.576323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T11:16:44.986901Z digest=sha256:c76647b07e88a551b19d382055ef6101728067cfbee1e96cf64645aa096622bc