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Paper Citation Record · LEDGER

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection

As of 22 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.05434.

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

pith.paper-citation-record.v1
2607.05434 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T03:54:48.803944Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

31 of 31 outbound references displayed

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Outbound references

Observation 1bdee20f-dd9c-4d52-a450-e3a3134caddf · outbound

This paper cites R v f (2025): Addressing the defence of hacking.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection R v f (2025): Addressing the defence of hacking

Reference 1

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Observation c33515d0-5a3f-423c-8a25-36d43bbafd64 · outbound

This paper cites Ai and human image classification model - v1, 2025.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Ai and human image classification model - v1, 2025

Reference 2

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Observation c1041faa-5856-4aaa-8154-5573f50f5a21 · outbound

This paper cites Ai image detector (siglip2 + dinov2 ensemble),.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Ai image detector (siglip2 + dinov2 ensemble),

Reference 3

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Observation 65dd2e70-6dca-4c5a-b815-ed193dea3d8e · outbound

This paper cites an unresolved cited work.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Unresolved cited work

Reference 4

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Observation 11e0ae38-30bd-46fc-bc51-6eecf2024672 · outbound

This paper cites Reconcile: Round- table conference improves reasoning via consensus among diverse llms.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Reconcile: Round- table conference improves reasoning via consensus among diverse llms

Reference 5

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Observation 50bfcbe8-7b85-4fea-a663-fddc2a596235 · outbound

This paper cites JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models

Reference 6

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Observation 4068d49e-bd60-44c4-a7e3-f6c6bbaa953e · outbound

This paper cites Deep fakes.California law review, 107(6):1753–1820, 2019.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Deep fakes.California law review, 107(6):1753–1820, 2019

Reference 7

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Observation 8354c646-d040-4109-a92c-fc2aa535217e · outbound

This paper cites Decoding answers before chain-of-thought: Evidence from pre-cot probes and activation steering.arXiv preprint arXiv:2603.01437, 2026.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Decoding answers before chain-of-thought: Evidence from pre-cot probes and activation steering.arXiv preprint arXiv:2603.01437, 2026

Reference 8

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:37f4fe2f5150ae786e428534861ec657490cbf1fdb070277879af5df6bfb092e

Observation bc37ce26-b395-4003-90be-d61343a03beb · outbound

This paper cites Scalable watermarking for identifying large language model outputs.Nature, 634(8035):818–823, 2024.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Scalable watermarking for identifying large language model outputs.Nature, 634(8035):818–823, 2024

Reference 9

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Observation 42d0c74b-1282-430d-9e1e-a0975dd7e456 · outbound

This paper cites Deepfakes on trial: a call to expand the trial judge’s gatekeeping role to protect legal proceedings from technological fakery.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Deepfakes on trial: a call to expand the trial judge’s gatekeeping role to protect legal proceedings from technological fakery

Reference 10

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Observation b8bb1192-3a38-47a4-9375-976f997141cd · outbound

This paper cites Guidance on risk for the engineering profes- sion.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Guidance on risk for the engineering profes- sion

Reference 11

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Observation 6784c8ba-f770-44ff-9700-e405894178a3 · outbound

This paper cites an unresolved cited work.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Unresolved cited work

Reference 12

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Observation 0d0cc7c9-21a1-4d39-889d-3deee9c9c0fa · outbound

This paper cites Synthid-image: Image watermarking at internet scale.arXiv preprint arXiv:2510.09263, 2025.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Synthid-image: Image watermarking at internet scale.arXiv preprint arXiv:2510.09263, 2025

Reference 13

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Observation 75becbd1-8803-4781-a606-55fe20a27b13 · outbound

This paper cites Ai-generated image detection: Passive or watermark? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 400–410, 2026.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Ai-generated image detection: Passive or watermark? InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 400–410, 2026

Reference 14

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Observation 406e8277-4a7c-4f51-9f78-af3588903f99 · outbound

This paper cites an unresolved cited work.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Unresolved cited work

Reference 15

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Observation e5357cb1-518d-45fe-b0e7-cdbba1ff6728 · outbound

This paper cites an unresolved cited work.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Unresolved cited work

Reference 16

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Observation 9b91298f-d748-474e-965d-0905337be5b0 · outbound

This paper cites Deep learning.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Deep learning

Reference 17

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Observation 160eccac-4c0a-4977-ac68-28efa791fd96 · outbound

This paper cites FUSE: Ensembling Verifiers with Zero Labeled Data.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection FUSE: Ensembling Verifiers with Zero Labeled Data

Reference 18

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:e64fd294eeb500b84f58b499d79cdd9084b200d720f5ff52ac8c4019500f5474

Observation 7ec1210f-1e72-4f1d-947a-38a1aa109998 · outbound

This paper cites Mitchell.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Mitchell

Reference 19

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:5b3d9caf8528152e051c01b0b71ec0578059435470ab453498c48e5a24e2d185

Observation 886513a6-afab-4a04-9ed7-6f1b27e16877 · outbound

This paper cites Advancing content provenance for a safer, more transparent ai ecosystem, 2026.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Advancing content provenance for a safer, more transparent ai ecosystem, 2026

Reference 20

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Observation f1921443-c4e7-46aa-91d0-052b546a5f20 · outbound

This paper cites Introducing chatgpt images 2.0, 2026.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Introducing chatgpt images 2.0, 2026

Reference 21

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Observation 85d2dd8d-d83b-4d60-9b64-8a9a2ccdaf74 · outbound

This paper cites Community forensics: Using thousands of generators to train fake image detectors.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Community forensics: Using thousands of generators to train fake image detectors

Reference 22

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Observation 0cb2f831-fe29-4321-82b9-a93aeed7c096 · outbound

This paper cites Analysis and safety engineering of fuzzy string matching algorithms.ISA transactions, 113:1–8, 2021.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Analysis and safety engineering of fuzzy string matching algorithms.ISA transactions, 113:1–8, 2021

Reference 23

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:0279d45cbe196431558814f2a4411989cfae2f7155350072b945229e25fe93c8

Observation c897ed02-adc6-4753-a015-3c57a0951246 · outbound

This paper cites How well are open sourced ai-generated image detection models out-of-the-box: A comprehensive benchmark study.arXiv preprint arXiv:2602.07814, 2026.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection How well are open sourced ai-generated image detection models out-of-the-box: A comprehensive benchmark study.arXiv preprint arXiv:2602.07814, 2026

Reference 24

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Observation 33aaeb73-5ca2-4b55-8221-685a5a31adf5 · outbound

This paper cites C2pa: the world’s first industry standard for content provenance (conference presentation).

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection C2pa: the world’s first industry standard for content provenance (conference presentation)

Reference 25

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Observation 2ec23758-a5fd-4ac8-85aa-27c5713cf801 · outbound

This paper cites an unresolved cited work.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Unresolved cited work

Reference 26

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:58954bd00c97c63487aae2e017ef7ee6a4e8f8aa8a07f26ad4420159ec963400

Observation ff317ba0-3be3-4365-aef5-946955b704ab · outbound

This paper cites CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models

Reference 27

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:adb8d08311766ba7b3a9ea35bbfc18b5ad7712df9449c931aa1e544aaff8b29b

Observation fc585cae-8e86-4c06-93ad-4c8fdc2a2846 · outbound

This paper cites Yfcc100m: The new data in multimedia research.Communications of the ACM, 59(2):64–73, 2016.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection Yfcc100m: The new data in multimedia research.Communications of the ACM, 59(2):64–73, 2016

Reference 28

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:5af468e36be5bac38be03e05876ebed0703456a32de3bb78179c0d87e04676d7

Observation c771c5d7-a8f0-447e-ac00-a5f411e06659 · outbound

This paper cites On computable numbers, with an application to the entscheidungsproblem.J.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection On computable numbers, with an application to the entscheidungsproblem.J

Reference 29

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Observation 3ae4f4d5-0608-4fc4-a406-18ef70ba3740 · outbound

This paper cites DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Reference 30

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source=pdf_text observed=2026-07-12T03:54:48.803944Z digest=sha256:6699c13c4f5c36b169481014f53f968752b910b6d04be8bac76e74aeed5da5f3

Observation 5abf46c2-3b8f-4f16-b13d-34c732a8a5a6 · outbound

This paper cites GPT-Image-2 in the wild: A Twitter dataset of self-reported AI-generated images from the first week of deployment.arXiv preprint, 2026.

Abductive Corroboration of Probabilistic AI Models for Forensic Synthetic Media Detection GPT-Image-2 in the wild: A Twitter dataset of self-reported AI-generated images from the first week of deployment.arXiv preprint, 2026

Reference 31

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Pith citing papers

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