Paper Citation Record · LEDGER

Generative AI regulation can learn from social media regulation

As of 17 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2412.11335.

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

pith.paper-citation-record.v1
2412.11335 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:04:59.656786Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:27:19.474236Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:27:20.186304Z

Reference resolution

21 of 21 outbound references displayed

verified exact0
verified fuzzy11
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df5b4766-35c6-4de6-bb0f-baf024ae4bc4 · outbound

This paper cites The Foundation Model Transparency Index.

Generative AI regulation can learn from social media regulation The Foundation Model Transparency Index

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8195bb4d-6fd2-41a7-b78f-7de0eda05ec2 · outbound

This paper cites How AI Inﬂuences What Y ou See on Facebook and Instagram.

Generative AI regulation can learn from social media regulation How AI Inﬂuences What Y ou See on Facebook and Instagram

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.987729Z

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 555e8938-6eb9-4f2a-8594-a5bec1e3777d · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

Generative AI regulation can learn from social media regulation Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.559977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3afcec4-18ec-4d84-9158-811660ac8326 · outbound

This paper cites Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models.

Generative AI regulation can learn from social media regulation Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.565228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d64717-e250-4511-9928-c786e2aa1217 · outbound

This paper cites AI Governance: Creating a Safe and Thriving AI Sector.

Generative AI regulation can learn from social media regulation AI Governance: Creating a Safe and Thriving AI Sector

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.968759Z

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 1250e1f7-b149-4e6c-97ac-453e1ff5d97a · outbound

This paper cites Having Beer after Prayer? Measuring Cultural Bias in Large Language Models.

Generative AI regulation can learn from social media regulation Having Beer after Prayer? Measuring Cultural Bias in Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.583998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa596bf8-42aa-493a-87b8-15c6b7afbe8f · outbound

This paper cites The friendliest social network you’ve never heard of.

Generative AI regulation can learn from social media regulation The friendliest social network you’ve never heard of

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.934841Z

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 f1573786-8373-4468-bf74-4d7012286f23 · outbound

This paper cites Google apologizes for ‘missing the m ark’ after Gemini generated racially diverse Nazis.

Generative AI regulation can learn from social media regulation Google apologizes for ‘missing the m ark’ after Gemini generated racially diverse Nazis

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.912010Z

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 82cf1757-3f58-4b09-b9d0-5e45bc42538a · outbound

This paper cites Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.

Generative AI regulation can learn from social media regulation Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.617924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637a8549-2cca-4f87-98da-c551555897cb · outbound

This paper cites Whose Opinions Do Language Models Reflect?.

Generative AI regulation can learn from social media regulation Whose Opinions Do Language Models Reflect?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.624856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9d3ed1e-e0df-4eb9-810a-15b351954067 · outbound

This paper cites AI Is Like . . . Nuclear Weapons ?.

Generative AI regulation can learn from social media regulation AI Is Like . . . Nuclear Weapons ?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.878660Z

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 bdbbc966-5c57-4b59-9187-a136c54ac028 · outbound

This paper cites A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle.

Generative AI regulation can learn from social media regulation A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.640292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 330b6628-89f2-46f6-9fe2-ae15d4e9c4f1 · outbound

This paper cites Understand Why Y ou’re Seeing Certain Adsand How Y ou Can Adjust Y our Ad Experience.

Generative AI regulation can learn from social media regulation Understand Why Y ou’re Seeing Certain Adsand How Y ou Can Adjust Y our Ad Experience

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.863387Z

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 814494a3-70ba-4c18-9358-e0a622879a62 · outbound

This paper cites Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation.

Generative AI regulation can learn from social media regulation Birdwatch: Crowd Wisdom and Bridging Algorithms can Inform Understanding and Reduce the Spread of Misinformation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.656786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ae89838-a086-4edb-9542-02ce8add8d1f · outbound

This paper cites Historical Trends in Research on Children and the Media: 1900- 1960.

Generative AI regulation can learn from social media regulation Historical Trends in Research on Children and the Media: 1900- 1960

Reference 1985

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.848267Z

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 3a7ab791-c741-407f-9c53-ccd0e30047b6 · outbound

This paper cites Senate Republicans renew their claims th at Facebook, Google and Twitter censor conser- vatives.

Generative AI regulation can learn from social media regulation Senate Republicans renew their claims th at Facebook, Google and Twitter censor conser- vatives

Reference 2019

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.895728Z

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 5bd0c6e8-b2ef-4f84-b405-c15426fa7f70 · outbound

This paper cites CrowS-Pairs: A challenge dataset for measuring social biases in masked language mode ls.

Generative AI regulation can learn from social media regulation CrowS-Pairs: A challenge dataset for measuring social biases in masked language mode ls

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:04:59.950629Z

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 eeafe846-c539-4163-acf5-d3dea39ffa40 · outbound

This paper cites Large l anguage models associate Muslims with violence.

Generative AI regulation can learn from social media regulation Large l anguage models associate Muslims with violence

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.510735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f0ae52-a789-4c90-80e1-d856054952d5 · outbound

This paper cites Technical report.

Generative AI regulation can learn from social media regulation Technical report

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:00.044538Z

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 66958ba4-b40f-4925-a7a0-c15d0b286a36 · outbound

This paper cites There’ s a model for governing AI. He re it is.

Generative AI regulation can learn from social media regulation There’ s a model for governing AI. He re it is

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:05:00.018328Z

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 0a008537-7b8c-4e2e-ab1e-67c1b985689d · outbound

This paper cites Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities.

Generative AI regulation can learn from social media regulation Coordinated Flaw Disclosure for AI: Beyond Security Vulnerabilities

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T15:04:59.547156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 2b27ffb5-8c9e-4047-b2a1-718dbc6b7db2 · inbound

"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products cites this paper.

"I Cannot Write This Because It Violates Our Content Policy": Understanding Content Moderation Policies and User Experiences in Generative AI Products Generative AI regulation can learn from social media regulation

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:27:20.190377Z

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.