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Paper Citation Record · LEDGER

DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Models

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:3ee45265a2972ce8b9f0f7e352e43edd13317f63f14353ef81e62b95190658e6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:42.123704Z digest=sha256:b21f3eaa1bf77da9929dddaca4c841dafca577323ff4d167b8d41902ec72532e

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:c6f1b43573a480a59ed64d428e28fe306f2590268bab15039994260e55363635

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=sha256:0cc1eff88222cffc33e68599d388f4a59a415467e2d00f53a5e10034e7590e10

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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no resolver link, observed 2026-08-07T11:16:42.411625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.411625Z digest=sha256:c24069521c51732f912ec68bee0eb3fe7583a6bbe1047866a64926288919b49d

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:bfa2a30a025e68e65be37d10d51fcea739a1e233ed43abd374a9803bfe861d5d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:42.556672Z digest=sha256:494c82e48038875b19f7e97486b4e7173664f50f9e9b85ed791fb714cd57771a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:42.620720Z digest=sha256:158c6b50c948123910208bc34c7f596076cc95c444e3072eefce0780784a4349

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:42.682228Z digest=sha256:b3b236bcfd0a16c291287304dfdaec9a0409301c8c2866b6d72c24123b618175

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:cdc31c2954752bed03dbf0f40e2e61391d3680eaa13ebff6c4c881970b127899

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.820616Z digest=sha256:eaebf479f354f3e59afa6a9a7976df65e5974dea3d5b0f07905f600de66687ff

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:42.905777Z digest=sha256:a5f8f00c53d65a6245dfe63584ce2c71e213027be1db84f18fbfcf5cf529f0bf

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:42.997910Z digest=sha256:333bf3fdef34de5568e9a26fc60ea9e9218a421ca41ee8015b0ccabb2fc61ffd

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.080354Z digest=sha256:fd3bc2a98c13a3ac8f62e83e156080d0aee6a36b02d9cc743d4aa5fe8fabfcc4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.137147Z digest=sha256:7d96123340725850cbef2a1f37b0063aebacc6808abace2d28f154fc3721fefb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.225182Z digest=sha256:ba26c4a1dd5a79b063e2ead622d714cc0f43ab9c01e73cdb37f8cc71628fff58

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.286712Z digest=sha256:c438fad204e49cd7662ee8ee5af1565800e18fe7dd848bec3b16d6a47c1ecb2a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.392225Z digest=sha256:23e09647f365313480288a958a62f2eb3a1807f249c0672314aea840cf8c16ff

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.483515Z digest=sha256:15afb2e05df2e660afbbfcd50c30b1f29625681d4b1dd64677510663c8ad40c7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.570304Z digest=sha256:6c2dc9cec0b270af3dab97abe72d410567c0bd5fc767f4a6921aa0581f70643b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.825390Z digest=sha256:22556124a22111d7e85586a9f075d87f02d7faaa33e8d632c65f46948ba4eb9f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:43.903417Z digest=sha256:8ca0913db8b6f4447b643390b5f527c8554237cfdc97e1b615b7c670edd30131

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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no resolver link, observed 2026-08-07T11:16:43.994161Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:43.994161Z digest=sha256:a530333da9924710a91a0660700ff7342314adb42f8e1c229a3c98da2eb149c8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:44.085066Z digest=sha256:c87bb7d38e0c034d81246b229d9b17fdde0564c50dee1dc5b38aae5a8b56a475

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:44.189737Z digest=sha256:88369bce4ea1d4f94e75901212ba3c83983c01693be4e7e875ac72d2acd75acf

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:e6b9b19ec4e771903c1ca592bb9008a88b6c2cc5f9eff372591dae7e9436e5f6

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

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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=sha256:96ba980ecfac822d11a37b7226ed0a26e9d82a3673e98f342dc8e09448e5bd72

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 2026-08-14T06:32:32.682623+00:00.

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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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no resolver link, observed 2026-08-07T11:16:44.705137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:44.705137Z digest=sha256:cba1b6812487ec023835be0415f499dfab1c420292cdd22bc6ebb309059fc8a1

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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raw_fallback, observed 2026-08-07T11:16:55.476714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:44.809516Z digest=sha256:ec0f3753bc279142f129d9940561baeda3d1363a5815c03a799f16e31ae4301b

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=sha256:3941245f0363636a5f996bc61406ffa6599fb504c147300a5cb4992034a61610

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=sha256:369c75ea0efc6af20ce71309522e1b5b41b2e681cef4b3026dc3724e8d96fd18

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.182318Z digest=sha256:c282ce8327111798ab0a422a5a2bbaf81dce37a3591700d912980346f04ddec8

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:45.280762Z digest=sha256:f6e1f0162a6504d2ed45a9cfdb6a761118707b7b5d80dd704de38ea11dc525fc

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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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:45.419921Z digest=sha256:3059acd98718d44e170aeb90aa00be090ebd8098f0045b530348f7c3a89fcd06

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:45.542362Z digest=sha256:df95bcb367dd1669371e52ec2328bb85cf4b11e7f9cc2989a2ead38f97dded6f

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:45.670585Z digest=sha256:25e73784c46383b99bcf9295db3dd6486dc012cdf8c0ddd8eb33f3339cdeb8bc

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:45.779536Z digest=sha256:8f334313502dd5bc571ff156622d51d2092b2399a7c3af23f52c42879e202497

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:45.919887Z digest=sha256:e9d3234a5a3730b6e30e060f2634fc7978c8f4060f683ee34872b20e60990160

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

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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=sha256:1d5417018aa5555cd8e34c50cea3b0b92f05679b598f4a0cf685c25b0083f855

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:46.088524Z digest=sha256:37b51b36b023f281dfd541ce8823fb314f9949e0a0df570b61e53a06239917fb

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:46.172607Z digest=sha256:2a376ec33ecd973c932dad379093b2d51ba1687f8512fb48da218066ce9bdcf2

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

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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=sha256:5e201cf814cff4ed6791c251fd7344f9755823453b8a28ea52d63d9de38afa36

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:46.347591Z digest=sha256:ce185a36d0b468995c2b2f6014e2782fe8eef165603a190e726af89a8267857a

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:46.449297Z digest=sha256:9bb317da47d8cd9806b55b09f0900289b506325ed0115ef257c00b6d140b3925

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.543358Z digest=sha256:6c13933c3d1aca2e6a927f04a92462fd09462daba369992a1d543a34c2c6aee3

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

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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:dbac31d4c1d39b8cc6bd3fa6e4b04b988db663152bd38a51c5ac344313b13b20

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:46.747650Z digest=sha256:b409fc8329631c6724bee298e24394573441142a5cd8a51a8710adee80b2ee42

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:16:46.870897Z digest=sha256:87c3472fea3dad3eab205fc4f7a1c3966d1345c81e6140dcb8b96c380c24d93b

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.054329Z digest=sha256:4d06235bc5cabb3c19c500cfe7f01a9aea658e1e62809a16d8a8c15a56ca0180

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.135624Z digest=sha256:6b6f5c2021691f285e9a129cc9d874d38a8ebdf6545025db88367d59d5e6cb54

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.238401Z digest=sha256:0f9f171f90a2226a3c3f616f9fabd3312b9ff5224b237696832874bd8368dd1c

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
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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.330098Z digest=sha256:0ea0969a5b5970573f256b782128248f14214c0b845a8ddf8c5eddb962aee1f1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.406987Z digest=sha256:810d4494e64f238a90a9e1b2f3037847abf31f1f814e3f2e0068ff1b505022ab

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

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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:bf5c94788d2564bd40638bdfe96d9119f97194770753b30b1b263dcd8e2819d9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.580440Z digest=sha256:ef4f75cd235a2dd721949a1256fd211963492adc829b702debe3766c990ee0cf

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

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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=sha256:76d2cec97ee870192dfe63bd58dfab7c88d44249b06aedaebddfaca1fca3c263

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

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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:b2b683edaa757941ea7c33c46fdeebf262efa5af905fda8e70cab1b283cccf5b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.914645Z digest=sha256:c1e7bd61030cf9c638beaefc2d235966bac1fbe2498713cbf241d18cfc5f3763

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:48.020993Z digest=sha256:28e8d32ac44cfa867a07737b1607ebcef51e63b05c906997f5319bd88a1fff9b

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
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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=sha256:7aeefd59abb055e780bd1b592bfd2b8f6a0464f00648f5d56b3a65da13568e86

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
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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:a3fbeb175adb5e8d283adb755bccdf94d80300cd5eb800622cb441046d8bc6a9

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

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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:d7b79e94da44d41d66f760a6080cd47608b96a2a2a6566189f7b06c4a9e49474

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:48.080197Z digest=sha256:9b37a3f342777683cc7a73205883d1e8701d227314c6c8b27e442182a2de5914

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=sha256:446e557558e69ad6692df022f08a19dc52737b5ee0d18fc9f427323f4e0482f4

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

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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=sha256:812be895ad2f6a39c1bfac7789c67b03cf9abeb0fab21988f082b56fa93a3be2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:48.649396Z digest=sha256:1f929041f2c2fc0ad02d04c3d79b0353fc5c6e38954e9aea0041baf8919c1688

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:e46552d67a5e1dd942c562e1c2b7ba2d30d797737751dbfe30f3afd8a051e256

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:48.803314Z digest=sha256:7ee132afa1efc3dc327b6f2851a4b01d764dd5880518426deb802c3ab4c476ee

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:48.951648Z digest=sha256:6d5788dc1c14d33d708f1a7b1e3851ad276716ab661a4ab8d3940a0b17ae4e18

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 2026-08-14T06:32:32.682623+00:00.

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:49.116059Z digest=sha256:ef9d5f80eacc3ec31f8575f1490e5374d8af7d41bb77387ffcd7b25718a8ebaf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:49.198799Z digest=sha256:f90f39874ed3539ad2c18cc21b65cbd98b178103ef1359d8464f93081f0ab219

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=sha256:64d2a756b38f33e7470cf4b3de75b043b982f77e31f0e5b42c438850320b494c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:46.959045Z digest=sha256:c1a000faac5e8c1e2c1f3933f632c7b81932518dcef6507b91e9f8f81ad45152

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=sha256:42759449b87d590ceb1e1b162b06cf26119dfd140413649833431964bf8d979d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T11:16:47.835823Z digest=sha256:a100aaae605d6ba3451dec0883187ef918b43c3fd81579bbc1a00be5b59b18b6

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T02:04:49.742067Z digest=sha256:435f0c0244ec309344dc89aa151ee11b58a9160b1d8daee329fe91981e34279c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T11:16:44.986901Z digest=sha256:faea8121af2afb0de70021b25408cd296ad0155ec62d8394dcd2bb70e967aa56