Paper Citation Record · LEDGER

IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2307.14863.

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

pith.paper-citation-record.v1
2307.14863 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:08:08.194963Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:41.474429Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7ece2ecc-555a-435f-b8d5-c037318d6bf7 · inbound

Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer cites this paper.

Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T12:08:08.194963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58ba10d2-ebfb-4df7-a4a3-502bae8286de · inbound

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations cites this paper.

COCO-Inpaint: A Benchmark for Detecting and Localizing Inpainting-Based Image Manipulations IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:54.506096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d3f5e21f-54e3-46ba-8be3-1fa9dec25802 · inbound

VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval cites this paper.

VisGuard: Securing Visualization Dissemination through Tamper-Resistant Data Retrieval IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T16:12:07.126506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e4b043a-2785-40f7-b0b2-8e94e3d2c3de · inbound

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.

Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 208

Resolution: unresolved; no resolver link, observed 2026-08-06T14:34:11.305145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6055a90-6b0b-4575-a86a-ae13c42e891e · inbound

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection cites this paper.

Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T21:07:47.053437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86efd746-f258-4452-a638-d57d7093ef9e · inbound

Revisiting Image Manipulation Localization under Realistic Manipulation Scenarios cites this paper.

Revisiting Image Manipulation Localization under Realistic Manipulation Scenarios IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:31:29.977724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa0cc2f7-4d70-49f5-87df-54cacdbd52f2 · inbound

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation cites this paper.

SurFITR: A Dataset for Surveillance Image Forgery Detection and Localisation IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T00:41:05.702963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32923e3c-5986-42a0-8688-654282ff7451 · inbound

Off-the-shelf Vision Models Benefit Image Manipulation Localization cites this paper.

Off-the-shelf Vision Models Benefit Image Manipulation Localization IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:25:59.749480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db30e72a-25da-43cd-bfe9-d690f2738511 · inbound

Semantic Manipulation Localization cites this paper.

Semantic Manipulation Localization IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:21:01.463213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation debd3351-06d3-4b1a-8ffe-bfd4ff54e1e9 · inbound

Bridging the Micro--Macro Gap: Frequency-Aware Semantic Alignment for Image Manipulation Localization cites this paper.

Bridging the Micro--Macro Gap: Frequency-Aware Semantic Alignment for Image Manipulation Localization IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:04.899926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 080adc5e-e45d-4fca-86f6-42e0a5dac2f6 · inbound

The Courtroom Trial of Pixels: Robust Image Manipulation Localization via Adversarial Evidence and Reinforcement Learning Judgment cites this paper.

The Courtroom Trial of Pixels: Robust Image Manipulation Localization via Adversarial Evidence and Reinforcement Learning Judgment IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:00:22.036064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a5ab29c-0cfe-4581-b786-bb0fa6aee5d1 · inbound

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces cites this paper.

Noncrossing Duality and the Geometry of Positive Tropical Linear Spaces IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:39.937486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15170df0-a0c4-4b42-917f-5e0e69a26425 · inbound

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents cites this paper.

When the Forger Is the Judge: GPT-Image-2 Cannot Recognize Its Own Faked Documents IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T23:31:15.128518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e4ea5e9-3a02-4523-a310-2889be5c9998 · inbound

Whether, Which, and Whose: Solving the Triple Challenge of Deepfake Proactive Forensics in Multi-Face Scenarios cites this paper.

Whether, Which, and Whose: Solving the Triple Challenge of Deepfake Proactive Forensics in Multi-Face Scenarios IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:51:24.336466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2f1cc256-1a7c-402c-ad12-b55a326f8708 · inbound

TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection cites this paper.

TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:51:23.990273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5ea6aace-6785-4f72-8c40-8cce55adc98f · inbound

EDGER: EDge-Guided with HEatmap Refinement for Generalizable Image Forgery Localization cites this paper.

EDGER: EDge-Guided with HEatmap Refinement for Generalizable Image Forgery Localization IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:27:29.900005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1c1ab585-c1ab-489d-94d7-cc43b784b15b · inbound

Venus-DeFakerOne: Unified Fake Image Detection & Localization cites this paper.

Venus-DeFakerOne: Unified Fake Image Detection & Localization IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:29:46.750538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 67a09bfa-29c4-4068-8d0f-fa0183d1583f · inbound

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation cites this paper.

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:33:42.079649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6e4e52cb-323c-4c19-9fa0-7f33d7998ff8 · inbound

Towards Generalized Image Manipulation Localization via Score-based Model cites this paper.

Towards Generalized Image Manipulation Localization via Score-based Model IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:17:45.578902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2473676-100f-42d1-8834-f71430b64ae1 · inbound

Characterizing Detectability in 3DGS Poisoning: A Stage-wise Benchmark cites this paper.

Characterizing Detectability in 3DGS Poisoning: A Stage-wise Benchmark IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:56:29.575738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7372631a-a9ef-4184-86fe-05a06543ef2a · inbound

Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT-Quantization Embedding cites this paper.

Efficient Document Tampering Localization with Multi-Level Discrepancy Features and Unified DCT-Quantization Embedding IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:41.475909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4ee8f958-29f4-4383-b0b9-69f123e9a1dd · inbound

From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection cites this paper.

From Forgeries to Foundation Models: A Systematic Survey of Identity Document Attack and Detection IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:55.145240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 173af7cb-b879-44ae-a56b-0025aa6c12e1 · inbound

When 2D Cues Fail: Improving Image Manipulation Localization with Reliable 3D Geometry cites this paper.

When 2D Cues Fail: Improving Image Manipulation Localization with Reliable 3D Geometry IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T16:19:34.418295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e00075c7-d28b-4ee1-8b85-617fd69570d1 · inbound

Progressive Decision-Making for Localizing Open-Ended AI-Generated Image Forgeries cites this paper.

Progressive Decision-Making for Localizing Open-Ended AI-Generated Image Forgeries IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-03T12:37:27.491573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.