Paper Citation Record · LEDGER

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance

As of 19 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2502.04526.

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

pith.paper-citation-record.v1
2502.04526 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:28:26.406586Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:04:57.850618Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T05:04:58.545136Z

Reference resolution

53 of 53 outbound references displayed

verified exact12
verified fuzzy32
unresolved7
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9895c6c7-ed59-4eb0-a60f-354b402e6512 · outbound

This paper cites unethical to deploy deepfake detectors,.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance unethical to deploy deepfake detectors,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.695859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 03d05081-0bc2-49a6-930b-c38219ff1f89 · outbound

This paper cites an important first step to get convergence…amongst ecosystem actors.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance an important first step to get convergence…amongst ecosystem actors

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.686197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b201add-d01d-4052-a099-10586107b695 · outbound

This paper cites In the sections that follow, I motivate the use of PAI cases as the foundation for this research before describing study participants, interview questions, and analysis methods.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance In the sections that follow, I motivate the use of PAI cases as the foundation for this research before describing study participants, interview questions, and analysis methods

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.730679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 15c764c8-13f9-49b3-bcf5-1d38e763b24c · outbound

This paper cites existing problem.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance existing problem

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.676043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 683b0652-3742-421d-8acc-34bb83add778 · outbound

This paper cites The Journal of Politics (September 2024).

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The Journal of Politics (September 2024)

Reference 8

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.817443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e59974e-1729-4019-a093-2877bc781d6d · outbound

This paper cites Partnership on AI Report.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Partnership on AI Report

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.655170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 23894d49-c94d-4915-95fe-7c32315e2ad1 · outbound

This paper cites NIST (November 2024).

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance NIST (November 2024)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.425817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 3f3aee79-3fad-4a80-8b79-288f1dc5fbfd · outbound

This paper cites Research-Technology 17 Management 63, 3 (May 2020), 42—48.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Research-Technology 17 Management 63, 3 (May 2020), 42—48

Reference 13

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T22:28:27.514601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ee31ba5f-b701-4fcc-974f-ec69a6f23e67 · outbound

This paper cites governance modalities and governance functions.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance governance modalities and governance functions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.861760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1cc38d03-4927-46f4-bb81-8e9cb596a2dd · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The DeepFake Detection Challenge (DFDC) Dataset

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T22:28:25.341645Z

Source-reported events for the cited work

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Observation e56771f9-d3e0-4c23-b722-ba4856462c4c · outbound

This paper cites Science 380, 6650 (June 2023), 1110—1111.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Science 380, 6650 (June 2023), 1110—1111

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T22:28:25.348064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2e1add9-6d9a-46d4-8b1c-af04faf8ffdb · outbound

This paper cites SSRN Journal (2020).

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance SSRN Journal (2020)

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T22:28:25.351079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35e18b96-cf21-4f53-8c73-c6eb4d36dabf · outbound

This paper cites The New York Times.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The New York Times

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.369393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab3dcfd7-8ec7-417a-b171-e5ed89671662 · outbound

This paper cites jdsr 2, 3 (November 2020).

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance jdsr 2, 3 (November 2020)

Reference 20

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.787091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aa84a3a4-6e57-4e8d-b97b-3c8a437255ec · outbound

This paper cites The New York Times.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The New York Times

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.350866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c0c976e1-28ae-4ab2-85f0-4c7e9bbf5a40 · outbound

This paper cites What’s changed? MIT Technology Review.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance What’s changed? MIT Technology Review

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.341121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation aceec36a-fd00-408f-a8f9-d9e6a596043d · outbound

This paper cites Retrieved January 13, 2024 from https://www.technologyreview.com/2023/02/27/1069166/how-to-create-release-and-share-generative-ai-responsibly/.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Retrieved January 13, 2024 from https://www.technologyreview.com/2023/02/27/1069166/how-to-create-release-and-share-generative-ai-responsibly/

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.328885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 390bab93-59f0-46a6-9171-eaab9097c72a · outbound

This paper cites extend beyond [their] typical wires-and-switches connotation to [include] any innovation that has extended, structured, or transformed visual perception and communication.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance extend beyond [their] typical wires-and-switches connotation to [include] any innovation that has extended, structured, or transformed visual perception and communication

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.956358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c8de01d-2a4c-420a-b263-4dfb471ab6ff · outbound

This paper cites APSC 53, 4 (October 2020), 703—709.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance APSC 53, 4 (October 2020), 703—709

Reference 27

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.708125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c7e28bae-ee07-4e19-b6c0-b5361d480ebd · outbound

This paper cites PAI Publication.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance PAI Publication

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.307963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c2793e9e-c407-454c-9718-0208b33806c1 · outbound

This paper cites From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance From Principles to Practices: Lessons Learned from Applying Partnership on AI's (PAI) Synthetic Media Framework to 11 Use Cases

Reference 29

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T22:28:26.510481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation eb863ee9-69b9-4aff-b4e3-37ba2479b0b5 · outbound

This paper cites In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), July 30,.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society (AIES ’21), July 30,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.297334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 19be1b59-72c6-409a-864b-f8c11ca4429f · outbound

This paper cites https://doi.org/10.1145/3461702.3462584.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance https://doi.org/10.1145/3461702.3462584

Reference 31

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T22:28:27.350489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab5f91a1-2b1f-416d-91af-79f2850266a2 · outbound

This paper cites Tech Policy Press.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Tech Policy Press

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.187153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58796438-e82f-4406-a109-b95ed5c52f3e · outbound

This paper cites Center for Data Innovation.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Center for Data Innovation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.077007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 536fa7d9-d679-4102-8714-41945e687bd4 · outbound

This paper cites Retrieved from https://partnershiponai.org/annual-report-2023/.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Retrieved from https://partnershiponai.org/annual-report-2023/

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.018490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a183e3c7-b585-4a73-9226-4936d9f36420 · outbound

This paper cites an unresolved cited work.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Unresolved cited work

Reference 37

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Source-reported events for the cited work

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Observation 8d197c64-5b35-4073-b408-0c430ff05f18 · outbound

This paper cites an unresolved cited work.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T22:28:26.049796Z

Source-reported events for the cited work

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Observation b7d2d90f-b8e9-4184-8e4d-c36ab20e96a3 · outbound

This paper cites The Verge.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The Verge

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.008238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a468b236-5497-4747-9058-8d400488a260 · outbound

This paper cites Twitter Blog.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Twitter Blog

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.998967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1fe5e0dc-6566-4312-b004-69e9f6bd628f · outbound

This paper cites The New York Times.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The New York Times

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.988640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c96f07d3-c765-46b5-b219-606fb40f368a · outbound

This paper cites MIT Technology Review.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance MIT Technology Review

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.978673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 01dbe29e-6a87-4374-9c05-d08639ffee16 · outbound

This paper cites long-term AI risks.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance long-term AI risks

Reference 43

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.469762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32c78db3-8856-48e6-9e61-b6e6efd7c8db · outbound

This paper cites Retrieved January 22, 2025 from https://misinforeview.hks.harvard.edu/article/misinformation-interventions-are-common-divisive-and-poorly-understood/.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Retrieved January 22, 2025 from https://misinforeview.hks.harvard.edu/article/misinformation-interventions-are-common-divisive-and-poorly-understood/

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.967354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f99a7bb2-e431-4b1c-a266-c6f39029a1db · outbound

This paper cites In Proceedings of the Computational Humanities Research Conference, December 4 — 6, 2024, Aaarhus, Denmark.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance In Proceedings of the Computational Humanities Research Conference, December 4 — 6, 2024, Aaarhus, Denmark

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.955090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2e8a8d78-dbe2-485a-a5b0-c159b1dae75e · outbound

This paper cites an unresolved cited work.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Unresolved cited work

Reference 47

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Source-reported events for the cited work

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Observation b315486a-3917-4ae1-a350-1fa00a594974 · outbound

This paper cites IEEE Journal of Selected Topics in Signal Processing 14, 5 (August 2020), 910—932.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance IEEE Journal of Selected Topics in Signal Processing 14, 5 (August 2020), 910—932

Reference 48

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T22:28:27.076614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b5f2afc1-84c7-43ec-8e28-264b310151ee · outbound

This paper cites The Verge.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The Verge

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.777965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e6fe3087-19e2-49cb-8b66-4d6f75cc2c63 · outbound

This paper cites an unresolved cited work.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-08T22:28:27.725845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 21c41059-b8c0-4e2e-81eb-be57b9f24599 · outbound

This paper cites Retrieved January 22, 2025 from https://www.brennancenter.org/our-work/research-reports/regulating-ai-deepfakes-and-synthetic-media-political-arena.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Retrieved January 22, 2025 from https://www.brennancenter.org/our-work/research-reports/regulating-ai-deepfakes-and-synthetic-media-political-arena

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.715111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d0bc6c5-c9e7-4962-a0ec-030423a2364c · outbound

This paper cites Tech Policy Press.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Tech Policy Press

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:27.704561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 182d74f5-b66e-4505-a227-34d4dc497b19 · outbound

This paper cites An MIT Exploration of Generative AI (March 2024).

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance An MIT Exploration of Generative AI (March 2024)

Reference 53

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.438090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1f2423d2-0184-4b46-ae1f-d9c736158b4b · outbound

This paper cites SAGE Publications, Inc.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance SAGE Publications, Inc

Reference 2007

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.458247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 995f87b2-a77f-438a-9fd9-1470a9d20466 · outbound

This paper cites Qualitative Report 13, (January 2010).

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Qualitative Report 13, (January 2010)

Reference 2010

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-08T22:28:27.690934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2c8fd19-b988-4f0a-bd05-095a67c61cde · outbound

This paper cites an unresolved cited work.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Unresolved cited work

Reference 2015

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.480608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 82acd10d-9ba3-473e-9962-451995b179d3 · outbound

This paper cites The New York Times.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance The New York Times

Reference 2016

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.028539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75451faf-138b-4255-b21d-849bb2716f57 · outbound

This paper cites Nat Mach Intell 1, 1 (January 2019), 5—6.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Nat Mach Intell 1, 1 (January 2019), 5—6

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-08T22:28:25.338509Z

Source-reported events for the cited work

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Observation 71a36414-acd1-4c8c-b184-9a80b4f40670 · outbound

This paper cites Meta Blog.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Meta Blog

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.644228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c785a536-8971-4ddf-8c24-a24015e54c62 · outbound

This paper cites MIT Technology Review.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance MIT Technology Review

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.360154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6413e8c7-8b0a-4db8-8553-48d07a3b2a71 · outbound

This paper cites Journalism 23, 3 (March 2022), 708—729.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Journalism 23, 3 (March 2022), 708—729

Reference 2022

Resolution: verified exact; doi, observed 2026-08-08T22:28:26.776171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6a783106-c6c1-4994-a816-cd1ff960c5af · outbound

This paper cites diverge on AI regulation: A transatlantic comparison and steps to alignment.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance diverge on AI regulation: A transatlantic comparison and steps to alignment

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.378850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b5a54e1-0a5d-4bb3-b000-8a1fc8597868 · outbound

This paper cites Retrieved January 22, 2025 from https://www.aoshearman.com/insights/ao-shearman-on-tech/zooming-in-on-ai-11-eu-ai-act-what-are-the-obligations-for-the-limited-risk-ai-systems.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Retrieved January 22, 2025 from https://www.aoshearman.com/insights/ao-shearman-on-tech/zooming-in-on-ai-11-eu-ai-act-what-are-the-obligations-for-the-limited-risk-ai-systems

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.665377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 47a43285-1622-4db6-9a4e-bf6ecad33c48 · outbound

This paper cites Tech Policy Press.

Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance Tech Policy Press

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T22:28:28.318374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 6706e585-1951-4764-ae12-5cb1875daee7 · inbound

TRIED: Truly Innovative and Effective AI Detection Benchmark, developed by WITNESS cites this paper.

TRIED: Truly Innovative and Effective AI Detection Benchmark, developed by WITNESS Regulating Reality: Exploring Synthetic Media Through Multistakeholder AI Governance

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-16T05:04:58.551747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.