Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-30T09:48:59.945895Z
Paper Citation Record · LEDGER
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization
As of 5 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2606.24538.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
29 of 29 outbound references displayed
- verified exact1
- verified fuzzy27
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7b103f0d-7c0f-41d5-8bcd-04775a4d0ace · outbound
This paper cites Fakeshield: Explainable image forgery detection and localization via multi-modal large language models.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Fakeshield: Explainable image forgery detection and localization via multi-modal large language models
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.500861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9d1a5308-2211-4b6b-b17c-ee77c3601a4c · outbound
This paper cites The creation and detection of deepfakes: A survey.ACM computing surveys (CSUR), 54(1):1–41, 2021.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization The creation and detection of deepfakes: A survey.ACM computing surveys (CSUR), 54(1):1–41, 2021
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.519974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation affdccd8-75d2-48a0-aa49-0172c5e8d023 · outbound
This paper cites Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.521848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6beb443a-c4cb-4f64-b923-864eac7e7daf · outbound
This paper cites Can we get rid of handcrafted feature extractors? sparsevit: Nonsemantics-centered, parameter-efficient image manipulation localization through spare-coding transformer.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Can we get rid of handcrafted feature extractors? sparsevit: Nonsemantics-centered, parameter-efficient image manipulation localization through spare-coding transformer
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.502757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a52a9a23-0a31-4dbe-92b2-9229856c8da3 · outbound
This paper cites Casia image tampering detection evaluation database.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Casia image tampering detection evaluation database
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.514080Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation de121ac9-c6d3-4000-8e7c-2bf7b6b29fea · outbound
This paper cites Sida: Social media image deepfake detection, localization and explanation with large multimodal model.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Sida: Social media image deepfake detection, localization and explanation with large multimodal model
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.518116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 50c9a70e-73c2-48ae-b1a2-1b416f2e9eb3 · outbound
This paper cites Segment anything.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Segment anything
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.532971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1b6f341f-3496-4b3b-ba72-6a3cbb9fe3b0 · outbound
This paper cites Aigi-holmes: Towards explainable and generalizable ai-generated image detection via multimodal large language models.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Aigi-holmes: Towards explainable and generalizable ai-generated image detection via multimodal large language models
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.525705Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2e292fe5-538f-44f3-b529-0b5fdf1393cc · outbound
This paper cites An image is worth 32 tokens for reconstruction and generation.Advances in Neural Information Processing Systems, 37:128940–128966.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization An image is worth 32 tokens for reconstruction and generation.Advances in Neural Information Processing Systems, 37:128940–128966
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.510289Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65ce528c-5da6-42f8-a592-1b004a719cff · outbound
This paper cites Image manipulation detection by multi-view multi-scale supervision.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Image manipulation detection by multi-view multi-scale supervision
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.536565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 5a13ed55-9368-478b-9888-1eb41e988c64 · outbound
This paper cites Objectformer for image manipulation detection and localization.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Objectformer for image manipulation detection and localization
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.496939Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1f8f8c84-4192-4ebb-af0c-2bcac6b5c0a9 · outbound
This paper cites Pix2seq: A language modeling framework for object detection.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Pix2seq: A language modeling framework for object detection
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.504583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2bfa5716-1aed-4224-941f-3639a0af14b3 · outbound
This paper cites Segment everything everywhere all at once.Advances in neural information processing systems, 36:19769–19782.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Segment everything everywhere all at once.Advances in neural information processing systems, 36:19769–19782
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.516216Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e5198fd3-df94-4fa0-9032-bf9265e20afa · outbound
This paper cites Can gpt tell us why these images are synthesized? empowering multimodal large language models for forensics.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Can gpt tell us why these images are synthesized? empowering multimodal large language models for forensics
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.490805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8e212a59-4f15-4751-9763-b10023418908 · outbound
This paper cites Lisa: Reasoning segmentation via large language model.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Lisa: Reasoning segmentation via large language model
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.493928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3733908c-358a-4467-b0b7-f7d003898f32 · outbound
This paper cites Himtok: Learning hierarchical mask tokens for image segmentation with large multimodal model.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Himtok: Learning hierarchical mask tokens for image segmentation with large multimodal model
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.488774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b22716f-b899-4a4f-b3cb-cecc253894f3 · outbound
This paper cites Cat-net: Compression artifact tracing network for detection and localization of image splicing.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Cat-net: Compression artifact tracing network for detection and localization of image splicing
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.506550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9fdb9b28-27b8-4673-b5ab-209e88450abc · outbound
This paper cites Towards modern image manipulation localization: A large-scale dataset and novel methods.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Towards modern image manipulation localization: A large-scale dataset and novel methods
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.540223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 66de49b1-b897-48a3-8895-2ee75a4112b0 · outbound
This paper cites Imdl-benco: A comprehensive benchmark and codebase for image manipulation detection & localization.Advances in Neural Information Processing Systems, 37:134591–134613, 2024.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Imdl-benco: A comprehensive benchmark and codebase for image manipulation detection & localization.Advances in Neural Information Processing Systems, 37:134591–134613, 2024
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.498972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d8647cbd-63c6-4b4f-ac19-7d950b9083a9 · outbound
This paper cites Trainfors: A large benchmark training dataset for image manipulation detection and localization.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Trainfors: A large benchmark training dataset for image manipulation detection and localization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.508373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d5923aa0-9d31-4e6d-baf4-9f68a94fd8d0 · outbound
This paper cites Yates, Haiying Guan, Yooyoung Lee, Andrew P.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Yates, Haiying Guan, Yooyoung Lee, Andrew P
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.534765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b572cf26-494b-439c-bace-e59da9561056 · outbound
This paper cites Coverage—a novel database for copy-move forgery detection.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Coverage—a novel database for copy-move forgery detection
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.538376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a22322af-72e9-4b38-a309-f2dbef286520 · outbound
This paper cites Columbia image splicing detection evaluation dataset.DVMM lab.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Columbia image splicing detection evaluation dataset.DVMM lab
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.529398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2a152b3b-9b0e-4806-8ff2-1751c20ed62d · outbound
This paper cites Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.523821Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4ea1adc4-04de-45bf-a223-aaaef559edd6 · outbound
This paper cites Imd2020: A large-scale annotated dataset tailored for detecting manipulated images.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Imd2020: A large-scale annotated dataset tailored for detecting manipulated images
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.512304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6db507a3-703b-474a-bcdb-9f226f517663 · outbound
This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T09:54:35.140647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ee2daf75-c1b0-45b1-a630-1408734322a8 · outbound
This paper cites an unresolved cited work.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T17:26:25.542346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2b374e32-1b79-47ae-b187-cd13d0ae3040 · outbound
This paper cites Robust image forgery detection over online social network shared images.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization Robust image forgery detection over online social network shared images
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.527556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cdd9b8c9-c3ae-40e1-aeb8-fe851cf49dc0 · outbound
This paper cites A deep learning approach to universal image manipulation detection using a new convolutional layer.
ForensicsTok: Forensics-Guided Tokenized Modeling for Image Tampering Localization A deep learning approach to universal image manipulation detection using a new convolutional layer
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T17:26:25.531272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.