Pith. sign in

Paper Citation Record · LEDGER

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2604.12307.

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

pith.paper-citation-record.v1
2604.12307 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T14:56:11.099966Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

45 of 45 outbound references displayed

  • verified exact14
  • verified fuzzy31
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fab3815-269c-41ee-bf5b-b94802feb295 · outbound

This paper cites Dual data alignment makes ai- generated image detector easier generalizable.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Dual data alignment makes ai- generated image detector easier generalizable

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.857486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:ece84ca2790863343c5554886193d15663f4eb9c645c0f7bd781bb73f2233b80

Observation 8caebc8c-6528-4249-99b5-da751949b449 · outbound

This paper cites Fair deepfake detec- tors can generalize.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Fair deepfake detec- tors can generalize

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.869008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:e485cdad47e0c1b2dac7725087740f92f179d8ce4632c9c37f8d49e2832ef24a

Observation 2842cd12-81a7-4d8a-944c-a8efe8790ae3 · outbound

This paper cites Meta CLIP 2: A Worldwide Scaling Recipe.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Meta CLIP 2: A Worldwide Scaling Recipe

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.868275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:1a3dced11f273197fe0e58b9b0e66415f7ef8f31c2727ef7a246c54158d92669

Observation dee82331-988e-496c-9a4d-03dd913b87c0 · outbound

This paper cites On the detection of synthetic images generated by diffusion mod- els.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training On the detection of synthetic images generated by diffusion mod- els

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.824628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:13e73d37d600ccdcccd4b6fc63beb98369bf561f38794da4dcf31dd555a943c6

Observation 3eac5ec2-f58c-4b27-a11d-92984ab6e14b · outbound

This paper cites Forensics adapter: Adapting clip for generalizable face forgery detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Forensics adapter: Adapting clip for generalizable face forgery detection

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.799656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c7ce4692db7f9ceb83dfd123eb9803543aa14cba4ea60224f66d629e21348a71

Observation c4c213a1-6eba-4e06-bf8a-4612566a69de · outbound

This paper cites Think twice before detect- ing GAN-generated fake images from their spectral domain imprints.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Think twice before detect- ing GAN-generated fake images from their spectral domain imprints

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.856129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:786653c694109242fbda3ef2a655cff6bc07bcaa2da7a80f44876c340b5ebd7a

Observation 2fe6aa86-ae2f-4d3d-a552-dec5d2bcb0f1 · outbound

This paper cites Watch your up-convolution: Cnn based generative deep neural net- works are failing to reproduce spectral distributions.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Watch your up-convolution: Cnn based generative deep neural net- works are failing to reproduce spectral distributions

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.810324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:2d1dd0cced1888abef8dab100e5ba8d83d0ec2597874118386f86217a32e1e9a

Observation fe0daba2-bf5d-4b91-b58c-1152a4931d06 · outbound

This paper cites Leveraging fre- quency analysis for deep fake image recognition.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Leveraging fre- quency analysis for deep fake image recognition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.807623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:5d6f33d5124d16a09dea94c1713ed353cd8639552d2a015d369e9f663fb5544f

Observation 0935c2d2-dda4-44ed-8ec3-84621cc3bddf · outbound

This paper cites Improving Interpretability and Robustness for the Detection of AI-Generated Images.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Improving Interpretability and Robustness for the Detection of AI-Generated Images

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.812112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:50440d3bf877c6dbca165ffe46dd8ef8b3954bb70ab441d43d9dc6e04e63262d

Observation 64c63c32-5555-45b8-9748-c47c12fcfc54 · outbound

This paper cites NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.881581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:ec151efcf476064e4b0722f85ebf5dd5a2bf8fec0dba529f8dacca0d1ade22e2

Observation 418b7cdb-a416-4883-b07d-b5497f82defd · outbound

This paper cites Parameter-efficient transfer learning for nlp.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Parameter-efficient transfer learning for nlp

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.844415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:20786343044f599b554726710e843ec2a83e4a0b9363182fbe936cec134bcb4f

Observation 30dedbfe-532d-455d-b521-7b1c2c887d6c · outbound

This paper cites LoRA: Low-rank adaptation of large language mod- els.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training LoRA: Low-rank adaptation of large language mod- els

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.851230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:2a2794508d1e1e4bf6cc9c09af50520ea1fffa4fe6bbad2b92f7e49102778f22

Observation 0e011906-24bf-4ca6-94b3-515c1663b51f · outbound

This paper cites So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training So-Fake: Benchmarking and Explaining Social Media Image Forgery Detection

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-08-03T03:15:17.929242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:cf3e90d12b5ebe9b2d0a40dcb794fc8211ab94a00943fd0426039b1f99c3e283

Observation 50651ad7-54a9-44ce-b8d2-3ec263efa5b4 · outbound

This paper cites Scaling up visual and vision-language representa- tion learning with noisy text supervision.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Scaling up visual and vision-language representa- tion learning with noisy text supervision

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.804731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c7d9732595b32d2f1f5cae784f4c876849577175ac19d4bdc21038000886a544

Observation f2087ffc-d67c-49a6-9c50-f8b7b3a77438 · outbound

This paper cites Vi- sual prompt tuning.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Vi- sual prompt tuning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.838404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:522de96cf8af37791c09c8a076f80e2164cbc5f0724fd430b7f49bc8eaf4cb01

Observation 15806984-9785-4056-a3e9-ca2430cd7751 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training A style-based generator architecture for generative adversarial networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.878803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:0f0c79dbc298adc50b5b9391eef661a02ad56c088c6e74f45b97377ce2cbc2cc

Observation 5c416c74-54f8-4be4-8ef1-f20e77f82b21 · outbound

This paper cites Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Navigating the Challenges of AI-Generated Image Detection in the Wild: What Truly Matters?

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:01:34.726456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:5709de3f243433cd5493f317b890977f610cb31fa75b30a6ca5c2f60406d6255

Observation d1c57c36-aa68-44fd-95f4-3a45f2823517 · outbound

This paper cites Leveraging rep- resentations from intermediate encoder-blocks for synthetic image detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Leveraging rep- resentations from intermediate encoder-blocks for synthetic image detection

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.846658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:5d197a58ec743d9cddd1e6ae02455b109763d59656b1ab2280d6aaac278fbf98

Observation fbd41d37-5b2e-48a7-bed3-b55fb86c526b · outbound

This paper cites Learning real facial concepts for independent deepfake detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Learning real facial concepts for independent deepfake detection

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.798471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c43473ab93282adc1f6951f8e850be613a83597aa5a842963431097c5b130c4b

Observation e3c410d9-28a6-495a-a02f-5ac9b78a0c51 · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-11T11:26:01.793642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:63bb73459b352bc685fa6d1267951d477394d588b6d24fe929d9b5716402a18b

Observation 0f5a8c50-b050-4dd7-b3b7-e7fc487af8c4 · outbound

This paper cites Decoupled Weight Decay Regularization.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Decoupled Weight Decay Regularization

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-11T11:26:01.826347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:febc28b84da4aff6f42f8b00a44d190b32f158a3187979812a7ed6da601903f4

Observation 2d7b80f0-68bd-4061-8ecf-4b43c24e4b39 · outbound

This paper cites Detecting gan-generated images by orthogo- nal training of multiple cnns.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Detecting gan-generated images by orthogo- nal training of multiple cnns

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.830668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:547e52d2a79a753c5e4220dc1da478ea970d44c99669071312f789614b64847a

Observation 78da3e06-ac63-49f2-9dc9-7077b560b334 · outbound

This paper cites Do GANs leave artificial fingerprints?.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Do GANs leave artificial fingerprints?

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:18:05.990488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:9ef7639865160d87cf3ffe28d27964fa7ebde291e6ace9f9a5c241629cb14893

Observation 5e996b9a-92ad-4395-a989-9abb4fd9d675 · outbound

This paper cites Towards uni- versal fake image detectors that generalize across generative models.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Towards uni- versal fake image detectors that generalize across generative models

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.859058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:2b8dbf15f4d1dc05d959aedd35a108a9ea0d07a75cda68b9f6b4ced2d0489cb6

Observation f6c75790-1864-4621-90f0-fa7fec12c621 · outbound

This paper cites Scalable diffusion models with transformers.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Scalable diffusion models with transformers

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.872670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:b69dc3ae638824134c14a4249b887cea7ff65f2e46d0d0c938851391df2616e3

Observation d9a5386a-08c5-42db-b9d2-25ea107f298a · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Learning transferable visual models from natural language supervi- sion

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.841193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:dcffa434e2fcd3da89c7f5efe28a8f815c91c2f6ea297a56ef1863a656329d0f

Observation 963b6fb3-0cc3-4d09-9bcc-907d850a1014 · outbound

This paper cites Im- proving robustness against common corruptions with fre- quency biased models.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Im- proving robustness against common corruptions with fre- quency biased models

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.835869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:7233fa7af7650f0cb53f2c8a6a05d23d5fe928944bb9c829ed93eee49b607c3c

Observation ca64eb8d-3806-4e17-b844-37b3c86cda1f · outbound

This paper cites Shield: An evaluation benchmark for face spoofing and forgery detection with multimodal large lan- guage models.Visual Intelligence, 3(1):9.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Shield: An evaluation benchmark for face spoofing and forgery detection with multimodal large lan- guage models.Visual Intelligence, 3(1):9

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.818066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:fc54cae6d9d46a370d8906bb1ceb936d4236f3e94238ba29c09cb71a133ad43c

Observation 977ee17f-386f-448b-b76b-08b2970ac303 · outbound

This paper cites Flava: A foundational language and vision alignment model.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Flava: A foundational language and vision alignment model

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.875764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:2acd8d9888b8d6c3932c6217fc7ad87c7dd652d3e232f4e390b902a375923372

Observation 3dd9980b-50d6-4f14-bb11-150e184afd38 · outbound

This paper cites Denoising Diffusion Implicit Models.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Denoising Diffusion Implicit Models

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-05-11T11:26:01.875564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:8de2de5722b4d47b06dc2fb93f557ef470b3ce019af49f461528b921cd9475fa

Observation aad6fa68-1cde-451c-af16-909cfbf725cf · outbound

This paper cites Towards general visual-linguistic face forgery detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Towards general visual-linguistic face forgery detection

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.862059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:dced981738c29420374b927e4a650c18852ab3720e0ec9efcc464c27b104002c

Observation 6b520045-579d-42f9-a8ca-fe98c2fbca43 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:54:22.133331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:e95e647cbdca4f838a04a453001f06eb2a4c5394ea3edd3ac0249d7c983dafe1

Observation aeeb1650-bdeb-469f-a1a2-810a1ea4d124 · outbound

This paper cites Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.812964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:8e13880110d4d7e6660c28890447805ba762873b3dc94f5bfb0bfa4fd472fe8f

Observation a0753c61-9e16-45ea-802f-1768df53a3fe · outbound

This paper cites Seman- tic visual anomaly detection and reasoning in ai-generated images.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Seman- tic visual anomaly detection and reasoning in ai-generated images

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.882229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:99d208dd38f3e46c659b3a42cfefb2729958af01a4f5ce65bf1563d1ad5a4c52

Observation 6c7da4dc-b917-42c9-9638-8c5735155a67 · outbound

This paper cites Oddn: Addressing unpaired data challenges in open-world deepfake detection on online social networks.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Oddn: Addressing unpaired data challenges in open-world deepfake detection on online social networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.820686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:b244ccc76ad26983a66be8bfd7056a9d8ecdf3e81dc5880e455cf39cca0c2b86

Observation 76549f38-3bde-4417-ab92-cc80109e028f · outbound

This paper cites Improving robustness to corruptions with multiplica- tive weight perturbations.Advances in Neural Information Processing Systems, 37:35492–35516.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Improving robustness to corruptions with multiplica- tive weight perturbations.Advances in Neural Information Processing Systems, 37:35492–35516

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.865361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:cdde2df514ad76e5c48750f91af11fe8f04b1b3a0ed199d4c7ea94b19bad0585

Observation 88fe80ce-a450-41c6-949d-07fa657f0159 · outbound

This paper cites Cnn-generated images are surprisingly easy to spot.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Cnn-generated images are surprisingly easy to spot

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.849052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:831beb7159714202a6ca1c3846a5e328e5fe93d5d2a046863cc368eaa2783461

Observation 5fb2f1c1-fbc2-446a-b4b3-94bc5707bcb3 · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training A Sanity Check for AI-generated Image Detection

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.837635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:23f6a95ed3b278e184da4e4d3aca0d9c1b51b664f4f387003e2f232281fe97f2

Observation 4f9a683e-8b74-4fa3-a96c-e4ac206f6a02 · outbound

This paper cites Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:94cbd5f1c058f785ad751d5c827e3aa854a1457203ab2e9b527dd3e8457479d0

Observation db8fd7bb-1e5d-40d1-aab3-9b6354822e9c · outbound

This paper cites Attributing fake im- ages to GANs: Learning and analyzing GAN fingerprints.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Attributing fake im- ages to GANs: Learning and analyzing GAN fingerprints

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.801733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:a4af97807e3839f212030b31847791990c6556af4198b1dc3daf20c5242d706f

Observation 7897b558-0268-42e6-933e-6b2b01b7e664 · outbound

This paper cites Mlep: Multi-granularity local entropy patterns for generalized ai-generated image detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Mlep: Multi-granularity local entropy patterns for generalized ai-generated image detection

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.815441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:8fdfeafb93169f3ce80c9bafae131ad641c66ac1a6dfab65a4418aef2c5511b8

Observation c8c1d7ec-78de-4cb0-9e9a-2c2899033b91 · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Lit: Zero-shot transfer with locked-image text tuning

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.853549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:7e9966aa5174444d0975009432dbb8a6dc1cb58714af7f87279e6d3b74776fbd

Observation cdbd60a8-1044-451d-9dbc-5615ae7904a8 · outbound

This paper cites Adalora: Adap- tive budget allocation for parameter-efficient fine-tuning.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Adalora: Adap- tive budget allocation for parameter-efficient fine-tuning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.827556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:ebd78bab3b21bba0c92b973e9663ac7e3ba20eda3606ac58bdbcfcf7e17ba412

Observation 2f7e2977-55cb-4539-82df-a645bf368700 · outbound

This paper cites Detecting and Simulating Artifacts in GAN Fake Images.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Detecting and Simulating Artifacts in GAN Fake Images

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:01.784164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:7f6f16b416f083ffeaa2abc8833764b4f8a67783d64a432e2e8dcd828779a05e

Observation 104eef72-1dd7-4c3f-82c7-d5ab904eee86 · outbound

This paper cites Breaking semantic artifacts for gener- alized ai-generated image detection.

Boosting Robust AIGI Detection with LoRA-based Pairwise Training Breaking semantic artifacts for gener- alized ai-generated image detection

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T10:52:34.791950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:43547bdb4d98e6789140aaeaca7a68cfbb68d98969536544f4488ab1322d0064

Pith citing papers

No inbound Pith citation observations are available.