Paper Citation Record · LEDGER

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2606.28510.

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

pith.paper-citation-record.v1
2606.28510 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T01:08:22.794058Z

measured 15 of 15 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

15 of 15 outbound references displayed

verified exact9
verified fuzzy0
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation befb98bc-6a50-449a-9cf0-6805ffabcbf1 · outbound

This paper cites The Effect of Education in Prompt Engineering: Evidence from Journalists.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images The Effect of Education in Prompt Engineering: Evidence from Journalists

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.485081Z

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.

Observation 9cdc000a-c72a-4527-ab4c-02910b0a0c54 · outbound

This paper cites Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T15:45:48.482307Z

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.

Observation 86a1e2f6-0238-432c-966d-6df55d211fa7 · outbound

This paper cites Intriguing properties of synthetic images: from generative adversarial networks to diffusion models.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.487556Z

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.

Observation 1c36ffe5-f62b-47e4-b7b1-03730f94de6f · outbound

This paper cites Raising the Bar of AI-generated Image Detection with CLIP.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Raising the Bar of AI-generated Image Detection with CLIP

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.493062Z

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.

Observation eedcf074-d674-4253-861a-ca91def4fd72 · outbound

This paper cites InProceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI ’26.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images InProceedings of the 2026 CHI Conference on Human Factors in Computing Systems, CHI ’26

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-30T01:08:22.794058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51344a0f-22a9-4d86-9a91-e0c0d9f8af05 · outbound

This paper cites How to Distinguish AI-Generated Images from Authentic Photographs.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images How to Distinguish AI-Generated Images from Authentic Photographs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.496036Z

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.

Observation 28ba82d9-51b2-4681-ba0b-7480cf5fcca9 · outbound

This paper cites In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI ’25.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, CHI ’25

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-30T01:08:22.794058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67670770-ec7e-4911-9e41-b879c7c44160 · outbound

This paper cites User Experience Design Professionals' Perceptions of Generative Artificial Intelligence.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images User Experience Design Professionals' Perceptions of Generative Artificial Intelligence

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.498798Z

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.

Observation e445a2eb-55e0-482d-85b9-6983b0648006 · outbound

This paper cites Detecting Multimedia Generated by Large AI Models: A Survey.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Detecting Multimedia Generated by Large AI Models: A Survey

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.501473Z

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.

Observation 80f15642-eed3-4d77-b8e3-b6e3fe281465 · outbound

This paper cites InProceedings of the 2020 CHI Conference on Human Factors in Computing Sys- tems, 1–16.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images InProceedings of the 2020 CHI Conference on Human Factors in Computing Sys- tems, 1–16

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-30T01:08:22.794058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ed508f1-bafd-4f98-bef3-9e36424f8889 · outbound

This paper cites Towards Universal Fake Image Detectors that Generalize Across Generative Models.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Towards Universal Fake Image Detectors that Generalize Across Generative Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.506953Z

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.

Observation baba29ca-9780-4a09-a9a2-37d75c91f96f · outbound

This paper cites Towards the Detection of Diffusion Model Deepfakes.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Towards the Detection of Diffusion Model Deepfakes

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.509443Z

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.

Observation 9d0f8f4a-12de-4873-881b-0260e9127705 · outbound

This paper cites How good are humans at detecting AI-generated images? Learnings from an experiment.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images How good are humans at detecting AI-generated images? Learnings from an experiment

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T15:45:48.490239Z

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.

Observation d41cb7c9-9def-428d-9ef8-2e76da246cda · outbound

This paper cites Explainable AI improves task performance in human-AI collaboration.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Explainable AI improves task performance in human-AI collaboration

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:45:48.504029Z

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.

Observation 280b8083-a82b-4403-a178-d296054ae530 · outbound

This paper cites Can You Tell What’s Real Now? Accessed: 2024-08-27.

Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images Can You Tell What’s Real Now? Accessed: 2024-08-27

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-30T01:08:22.794058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.