Paper Citation Record · LEDGER

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection

As of 11 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2511.13108.

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

pith.paper-citation-record.v1
2511.13108 v4

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T18:53:03.771279Z

measured 11 of 11 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

11 of 11 outbound references displayed

verified exact1
verified fuzzy6
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 109f25dc-8a9a-4dd2-a619-ec496bc9324c · outbound

This paper cites CNN-Spot employs convolutional neural networks to detect synthetic content by analyzing common spatial artifacts in AI-generated images.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection CNN-Spot employs convolutional neural networks to detect synthetic content by analyzing common spatial artifacts in AI-generated images

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:54:18.909029Z

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.

Observation 2d90a652-d85e-4606-af14-2ba0016ed41c · outbound

This paper cites UnivFD demonstrates that CLIP can effectively extract artifacts from images.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection UnivFD demonstrates that CLIP can effectively extract artifacts from images

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:54:18.911179Z

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.

Observation 5c487216-3f96-48b6-a050-da011006e6af · outbound

This paper cites FreqNet isolates high-frequency components of images via an FFT-based high-pass filter and introduces a frequency-domain learning block.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection FreqNet isolates high-frequency components of images via an FFT-based high-pass filter and introduces a frequency-domain learning block

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:54:18.906660Z

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.

Observation 41fc2781-8c49-4799-bce2-2945b5ecbbbe · outbound

This paper cites NPR targets structural artifacts introduced by up-sampling layers in generative models.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection NPR targets structural artifacts introduced by up-sampling layers in generative models

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:54:18.902131Z

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.

Observation 1c1d240d-3f98-4dd0-9615-a6019aa7f945 · outbound

This paper cites an unresolved cited work.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-21T18:54:18.904129Z

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.

Observation e15647f3-bac8-4036-95a6-564095965fb7 · outbound

This paper cites AIDE combines low-level patch statistics with high-level semantics for AI-generated image detection.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection AIDE combines low-level patch statistics with high-level semantics for AI-generated image detection

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:54:18.915243Z

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.

Observation b8a873eb-f9b5-4722-9237-0012eb0e6f0b · outbound

This paper cites C2P-CLIP concludes that CLIP achieves classification by matching similar concepts rather than discerning true and false.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection C2P-CLIP concludes that CLIP achieves classification by matching similar concepts rather than discerning true and false

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-21T18:54:18.897810Z

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.

Observation e0e23a11-ecb1-4ccf-82ad-5d3ad8120ded · outbound

This paper cites an unresolved cited work.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-05-21T18:54:18.899911Z

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.

Observation 8ceae72d-5645-4015-8a60-4561f99d4dc9 · outbound

This paper cites an unresolved cited work.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-21T18:54:18.895661Z

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.

Observation bcf3fc9d-a5b7-49a5-a2cd-bc76f7d3ac20 · outbound

This paper cites an unresolved cited work.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-05-21T18:54:18.913094Z

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.

Observation 9f511da4-9c88-4108-a16e-80b077bf8582 · outbound

This paper cites real" and.

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection real" and

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:54:18.593825Z

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.

Pith citing papers

No inbound Pith citation observations are available.