Pith. sign in

Paper Citation Record · LEDGER

Boosting Robust AIGI Detection with LoRA-based Pairwise Training

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:03e235d57e3525744069e17ba1aa3e35010e938f7a71ebbb732d88c6c9bedae3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:581d4bb102a36d5b6a0baec0109c0b759214080fa9db2db3256dbbdd6fe2a7d2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:888683b61dac7e35a2a104cbeaa95b2bd5391fa61f365696c849168cdb47bd27

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:00431bf4204d1190ae05d5dd81c6280b27f953e61669a3d8a2db5745cde6b26e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:377f312ade497dc7e04d08540ff11c8adc5c41c971dc45f9698b31c7c4ce904d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:4533b7911e60a09be37f3db1f502f5152988a86cef86c2b535804f531f521fbe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:667197c9392841c1ba49c09aa12b7e76aa2edc85b39146aef880e6e7d02e2a87

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:7cdf51f029e2c89ba8dcbe4e8abca9a5053520988fa130d43a09cea620024c69

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:9cd53efb06a0c384095148b5eab30502405c917c28e72ee60131d34e03cf779f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:a39812e8ebf51c067ed140c178e830b01d865c7b6f647d77d558643cf1dca62e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c8edac66627390bb5a8f1a92f52b136650e65272d8fe1680feac57d7ffd9a5eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:1b52f603b82f01c54cfac0a1683cd700aae04b83b14cf27cc8f3ff739a04c340

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:70dc8312462baddc9fdf77330bff7f9af17ea930fc0d637df5fba6fc736ae73b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:6c92c8c852c9a051b3db4614c01cf3ad7f7eaa7ff1c0fe06cb34d7d5b8361ab2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:058dfaf182dac20c238acb7ab18ed493dba6e2dba7f4c75bec0ec5b63dca02a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:eca10df626e6f4e19933f79a48abf01d86562e14229da5517b3f96489686f2d3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:545280a2dd57b93c11f6a912dd83ffce49fe9c4c81d2df67161b2d579207be74

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:92487b9fcee11903f745d8a4db9f9596a3145858ef0ee42e839c754d99bb9328

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c8d3b0d68410de494fc9fc1f12e6a20e5ec8ff3ef5e2f8e307b462586828ae96

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:24a4d897a457216221ee68069fa4ab54499161dbae49f3e32639f97a78fc50e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:210b06872e7024dc313feaf5dfbe3e0defb42acd97393a641fbfd82ef6666034

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:b9ee7fdd339443b7d72672002f823ecebcd3808d929483448836a8a615c915fb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:dd34b72f705d6ef571689be7585cb09fd3ace78fddc7f0ffb528222ba52be8d2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:40b9085a3b20523b6efe8b533eb5fd0693a134cd272fdc95a096375066b9a761

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:fa80a52bcf08e17c40bf8034948c5985db97846829e21c2a502d21cdc6d91d3e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:409cf5196c0e773b7d17f6c23cdbb0f5e68f657d13aafd7a838f4c3b76bab2b7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:bb2dbf5dd26433c71eb447c9c6fb5d83df0959c60dd3b49cdaa64bbb5ff993eb

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:9e5bc218eec05d3330d7e2dd237b52551cb12b4687f0a5863dbe8c52b96ced07

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:ffba6933ee968c6835b25d2dcbaae1f599101fca9dfc5c7658e9e4a2cc04665a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c469625a1576c122b37e1bb008784a0fb73231e1b9fe4723ecb1e0350b8ccdd9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:1df7515c8184290f7c2f5b8c7594f0017c210a525d5eedfac699aa3f6204d8f3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:86319c426991f88e6355dcd18fe060877d8afdefa8b23cf8f69b33de087a376a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:9d3185efad792b030b169e3e720c6244cee2bedc53152ffda61584bf6270eb00

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:42dc6faf62bc82ece53f3d3d9aec788a2be7ae10ba567dc3eb7e954807d5a1d0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:a492a32addf7977fc2c719e2ca746892aaa9a0c883987afff1b8600d4ee96093

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:1b4d2db14549e9b5a097a70e935d9dae8eb9b6240315082574b7a01f0d55536c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:f47cc2459326993a26ae7e732247c8488b530b7b3e5822f8b4744a5ebe6b3fbd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:2defa18135f0c17b35a67cc6ee04f5413c14aae5667e32cbea0d9c621e4f60e0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:86426cf03af55500e8dcbee5a846f75a7caf34d9667f6c09be4faee9a49e445b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:524bfeb5047f5830f0a3c1683c3fb8aa9654d2e5fd5b01ed27961aa721962a19

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c5f6287c78f509b4a80e7992472878a7d3928485e8732a73b89b1d95f9e3e461

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:ed3e95011710d2e637ae9cc0f12c8e69c89c75609fa2f89e3a88d9bae334c333

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:4e389616ed1cfdc109dc7b35c42d5ce3240fdf760f28abdbaded254efb9a3bff

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:c13567a1c2aa1687f3b0aabf8c7a49fcce1ef82c688cf856d90c044630182c7c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T14:56:11.099966Z digest=sha256:11ebe5be898c571558a621c4a10d2306167942d26fafb342ab6ffa1b1977971d

Pith citing papers

No inbound Pith citation observations are available.