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Paper Citation Record · LEDGER

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection

As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2501.16704.

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

pith.paper-citation-record.v1
2501.16704 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:19:33.974978Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy9
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9dec384-f9e9-424b-b18a-0ad24217fde5 · outbound

This paper cites MaxViT: Multi-Axis Vision Transformer.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection MaxViT: Multi-Axis Vision Transformer

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:19:33.856881Z digest=sha256:e8cb3ffde42dea88cdcfc8f679d5fc7256ac3c92a7a16b679ed0078bb3863bde

Observation 07410519-75ec-4f48-99b6-0727dd33450b · outbound

This paper cites CoAtNet: Marrying Convolution and Attention for All Data Sizes.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection CoAtNet: Marrying Convolution and Attention for All Data Sizes

Reference 2

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source=pdf_text observed=2026-08-10T11:19:33.862479Z digest=sha256:59f72fc2aa88eab395976b0b2baeaee560a34158a339c5bdaf5d8dc0742ed39b

Observation 5d4067da-3143-4d0e-8b34-0f87264b6089 · outbound

This paper cites Eva-02: A visual representation for neon genesis,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Eva-02: A visual representation for neon genesis,

Reference 3

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verified exact
arxiv_id_nonexistent, observed 2026-08-10T11:19:34.498935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 8009a825-a2ba-463e-9151-ed64e6d438b8 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

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source=pdf_text observed=2026-08-10T11:19:33.872709Z digest=sha256:231b668e81ce1ee5810517a62afb2309e1530f98bd7ba476330f000e1d48b427

Observation 7f84ef22-c945-49ff-8097-20f8a95ba05d · outbound

This paper cites Supervised Contrastive Learning.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Supervised Contrastive Learning

Reference 5

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source=pdf_text observed=2026-08-10T11:19:33.878674Z digest=sha256:3f2aa802c9d1367bccc7cfc1c70be695e3b8b0efca1a90b4a0ff0c578ac9156e

Observation 6eea79bb-0b59-41e3-b57b-c8af0ba48574 · outbound

This paper cites Deepfakebench: A comprehensive benchmark of deepfake detection,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Deepfakebench: A comprehensive benchmark of deepfake detection,

Reference 6

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raw_fallback, observed 2026-08-10T11:19:34.694005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.883795Z digest=sha256:06b60da3f076991d95dc9ec67e969732e732d6f205488a9b270f1f173759b5dc

Observation c21d5601-274a-4d25-843e-ea1b90873b74 · outbound

This paper cites Celeb-df: A large- scale challenging dataset for deepfake forensics,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Celeb-df: A large- scale challenging dataset for deepfake forensics,

Reference 7

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source=pdf_text observed=2026-08-10T11:19:33.889229Z digest=sha256:65d35175313a29dd70fb8224a719d5a513329a721c9d4e37f53e760a334d10da

Observation 94b3f932-0e0e-4d50-9564-eb1a4152e6ba · outbound

This paper cites FaceForensics++: Learning to Detect Manipulated Facial Images.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection FaceForensics++: Learning to Detect Manipulated Facial Images

Reference 8

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source=pdf_text observed=2026-08-10T11:19:33.894067Z digest=sha256:a8c18d28114f655e14c31c6cfdd24382d8cfcad6411adde32dacb0a1c9849137

Observation b0109a20-dc28-42b6-96e6-94ba1e54828a · outbound

This paper cites FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Reference 9

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source=pdf_text observed=2026-08-10T11:19:33.898978Z digest=sha256:b1159299a6e567e390f96a6b05e5ccad124d2a2fc6dd923423fb9a73235d5cf8

Observation 80b6d638-82b9-420a-8781-619b4eb4fdc0 · outbound

This paper cites The Deepfake Detection Challenge (DFDC) Preview Dataset.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 10

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source=pdf_text observed=2026-08-10T11:19:33.904470Z digest=sha256:448720560f7829e4be8d4a39b3bc03467059f4d194eec6cd372c942e2a2c0400

Observation 66376635-bca3-4704-963b-67df39c252a0 · outbound

This paper cites Fine-Grained Face Swapping via Regional GAN Inversion.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Fine-Grained Face Swapping via Regional GAN Inversion

Reference 11

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source=pdf_text observed=2026-08-10T11:19:33.909422Z digest=sha256:4016622665331c838ab83b2bef1aca74f751066b6d82a0f46da677a5ae1e9208

Observation b1a270fe-3ad9-476a-b4f3-2ff0eb0583af · outbound

This paper cites Facedancer: Pose- and occlusion-aware high fidelity face swapping,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Facedancer: Pose- and occlusion-aware high fidelity face swapping,

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-10T11:19:34.667351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.914717Z digest=sha256:19dc25ed991487c0c53e6ead7264734548a0cb0da2bff8e91a0baf4a26c6a86a

Observation c6cfeeda-86dc-4760-b9d4-61071f6ec010 · outbound

This paper cites BlendFace: Re-designing Identity Encoders for Face-Swapping.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection BlendFace: Re-designing Identity Encoders for Face-Swapping

Reference 13

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local_arxiv, observed 2026-08-10T11:19:34.048664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.925447Z digest=sha256:cd3634f8bc5e1a95b9e2a9f3be45615876e806100afdffa7675e176b7499dee9

Observation 33cdd0fa-b766-4920-a603-3b5d20cf91ef · outbound

This paper cites inswapper,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection inswapper,

Reference 14

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raw_fallback, observed 2026-08-10T11:19:34.652765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.930388Z digest=sha256:b014855ea824a5d5718d7e9626542cf492549296ae3dd80bbfbbf347f7975780

Observation 97894337-80c7-4d60-b961-351986ced354 · outbound

This paper cites Hyperreenact: One-shot reenactment via jointly learning to refine and retarget faces,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Hyperreenact: One-shot reenactment via jointly learning to refine and retarget faces,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.935670Z digest=sha256:59e22f88d009024f2cb3075ae07f44243aa5baca5dc6975138aa90ad96affd7d

Observation 2ca05369-7d0b-4c0b-beff-c4041ae8920c · outbound

This paper cites Designing an Encoder for StyleGAN Image Manipulation.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Designing an Encoder for StyleGAN Image Manipulation

Reference 16

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source=pdf_text observed=2026-08-10T11:19:33.941121Z digest=sha256:b24637cb7ef74306a4c86fc41095d5cb0ee25cb9b9ca53cbe7506818606e739a

Observation 3757744b-e8fb-4916-bacb-a41cc167871e · outbound

This paper cites StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Reference 17

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source=pdf_text observed=2026-08-10T11:19:33.946248Z digest=sha256:5ccccc4f5c5491490502377c5533344c1083b6ef18a9e0088b509c150a839d61

Observation 4021bdfe-a4a3-4d9b-8b71-4ae56276081c · outbound

This paper cites Huggingface: State-of-the-art natural language process- ing,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Huggingface: State-of-the-art natural language process- ing,

Reference 18

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source=pdf_text observed=2026-08-10T11:19:33.952029Z digest=sha256:2c97dd494ddb5f5a330cf6f76ea19012b27a0eb7de5a5df05d410281b7936971

Observation 2cd84600-c597-471b-8826-d45d1081594f · outbound

This paper cites Pytorch image models (timm),.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Pytorch image models (timm),

Reference 19

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.956502Z digest=sha256:271f0a10375694bea421caa251dd7786784b23bd2727af97bca1f8f53ac99651

Observation 73178401-1fee-4129-9a89-de5146080245 · outbound

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

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Imagenet: A large-scale hierarchical image database,

Reference 20

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source=pdf_text observed=2026-08-10T11:19:33.961367Z digest=sha256:7eb233dcfceac07fef9ded59276f80420964c18a43e1221ed29783f124415b12

Observation dfff1c5f-b6aa-4b8a-929a-ed22c30fefec · outbound

This paper cites Supcontrast: Supervised contrastive learning,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Supcontrast: Supervised contrastive learning,

Reference 21

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.965550Z digest=sha256:ea1f5040670190692284c101b377bac229441a527e2be23f68f925345bb584c5

Observation 3700cb6d-bf02-4c6f-ac7b-3de06a737468 · outbound

This paper cites Kaggle: Your home for data science,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Kaggle: Your home for data science,

Reference 22

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source=pdf_text observed=2026-08-10T11:19:33.970598Z digest=sha256:7576254bff993f3d943c7dce122a16f0f3d0c8fa73907f90f578dc9a797729a1

Observation c25a7676-57d0-4984-bb62-9ab3586c0d8f · outbound

This paper cites Signal processing cup,.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection Signal processing cup,

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.974978Z digest=sha256:01a562779e97a55fb4de142626e98f83a4c50b5cdc9581f479d298679b178783

Observation a377a603-20ab-439d-87f5-0d46f792fa46 · outbound

This paper cites FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping.

DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detection FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping

Reference 2022

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local_arxiv, observed 2026-08-10T11:19:34.071442Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T11:19:33.920495Z digest=sha256:adbe87a6a1205ee31f1204a0f2571206b4d89b5f3cee967471db11d13a580a12

Pith citing papers

No inbound Pith citation observations are available.