Pith. sign in

Paper Citation Record · LEDGER

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection

As of 8 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2505.18587.

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

pith.paper-citation-record.v1
2505.18587 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:30.876364Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

11 of 11 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fca9fe7e-a298-417e-b135-4312ee55e20a · outbound

This paper cites DeepFake Detection Based on the Discrepancy Between the Face and its Context.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection DeepFake Detection Based on the Discrepancy Between the Face and its Context

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.251816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.251816Z digest=sha256:54715919ce33b2f86c2d8a6173be5e4ab41669dee7b5ed6e6855eeee6a57dadd

Observation cf8c9afb-7801-41a4-8d2d-e0e231379852 · outbound

This paper cites Combining efficientnet and vision transformers for video deepfake detection,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Combining efficientnet and vision transformers for video deepfake detection,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:32.107539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:32:30.311070Z digest=sha256:8425e60d1197d10494efe590cfd501a81f34d2e2b85a02294551ac10af129277

Observation dfb57d00-41ee-4a91-81f2-2aa4cd92aa57 · outbound

This paper cites LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.399121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.399121Z digest=sha256:2599802e1850b6a2b3e63e8c0e11c4eac517568ea4f159945845b1493b4602f1

Observation b0a0a8d0-411a-46c1-8e95-fa29dd98e743 · outbound

This paper cites FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection FakeOut: Leveraging Out-of-domain Self-supervision for Multi-modal Video Deepfake Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.447285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.447285Z digest=sha256:a31dca5aa8dae85b1d68dbbddf1b12aa6a0e720df2d631ad1317c37cb0c49596

Observation d437cb67-df59-4d12-b1a9-81805278522c · outbound

This paper cites Blockwise spectral analysis for deepfake detection in high-fidelity videos,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Blockwise spectral analysis for deepfake detection in high-fidelity videos,

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:32:31.428625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:32:30.508044Z digest=sha256:53d472ef247840462f3ed75b77b7691dbf736439cb4b484724fda1f1339fd1c0

Observation dd4bc9ea-a574-4049-85ec-50db686d205d · outbound

This paper cites A review of deepfake techniques: Architecture, detection, and datasets,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection A review of deepfake techniques: Architecture, detection, and datasets,

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-07T14:32:31.241753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:32:30.544425Z digest=sha256:1a4117eb506beecce492c8f18ace4b05b3aaef8bd2870b1f9fdf77a0e230e3c2

Observation 925317c7-80ae-4413-a311-745d8db2d4b6 · outbound

This paper cites MST++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection MST++: Multi-stage spectral-wise transformer for efficient spectral reconstruction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:31.946512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:32:30.687063Z digest=sha256:3a68b170a40412b0126a5949082d7ffe6eaea0509df2f6e391bc12aba9319e70

Observation e3a25a00-bc45-43cc-a44b-f536f5dcc07f · outbound

This paper cites Ntire 2022 spectral recovery challenge and data set,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Ntire 2022 spectral recovery challenge and data set,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:31.750707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:32:30.755345Z digest=sha256:3df405e1012c5f6593d22a1b22de734d3443b46adfea0db381ec1deb6fc9f2ed

Observation 6e7fb93a-e636-424e-8dc7-e3b5c7979d34 · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images,.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Faceforensics++: Learning to detect manipulated facial images,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:31.601461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:32:30.794744Z digest=sha256:bdcd7d570590c18e05a89e118cef0287fb502d57b09ea619c8e8beb57ca61db0

Observation 5b8b6185-4826-4c56-8cbe-1aa3062c50db · outbound

This paper cites Deep Residual Learning for Image Recognition.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection Deep Residual Learning for Image Recognition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.837531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.837531Z digest=sha256:f47572f461fcebcebc628740a3d49f1212f5c3b18620e2566a94ad549bc4c271

Observation 0157f83d-37b7-4294-8ce8-7bda15406bd7 · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

HyperFake: Hyperspectral Reconstruction and Attention-Guided Analysis for Advanced Deepfake Detection EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:30.876364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:32:30.876364Z digest=sha256:e44cb21cd1d719487c7990b2fd109823abff470dc673c3d196e46bee721238bd

Pith citing papers

No inbound Pith citation observations are available.