Paper Citation Record · LEDGER

Large Language Models Reflect the Ideology of their Creators

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2410.18417.

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

pith.paper-citation-record.v1
2410.18417 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:49:56.883181Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

13
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 202a4593-3354-47e0-acba-36eff14888f1 · inbound

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications cites this paper.

Persuasion with Large Language Models: A Survey of Empirical Evidence, Study Methodologies, and Ethical Implications Large Language Models Reflect the Ideology of their Creators

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:53:19.170530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4876c667-8165-486c-bc23-62d498b0272d · inbound

Normative Evaluation of Large Language Models with Everyday Moral Dilemmas cites this paper.

Normative Evaluation of Large Language Models with Everyday Moral Dilemmas Large Language Models Reflect the Ideology of their Creators

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T00:49:56.878373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23dae193-6707-48b9-b66f-ac8dd78cb228 · inbound

Normative Evaluation of Large Language Models with Everyday Moral Dilemmas cites this paper.

Normative Evaluation of Large Language Models with Everyday Moral Dilemmas Large Language Models Reflect the Ideology of their Creators

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T00:49:56.883181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ec691b-82f4-417b-b8a6-9c058ba4616d · inbound

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance cites this paper.

IssueBench: Millions of Realistic Prompts for Measuring Issue Bias in LLM Writing Assistance Large Language Models Reflect the Ideology of their Creators

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T05:20:20.396479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0e71ad5-3076-4965-a754-81a11fdcd855 · inbound

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights cites this paper.

Hedging and Non-Affirmation: Quantifying LLM Alignment on Questions of Human Rights Large Language Models Reflect the Ideology of their Creators

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:25:19.260286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dff67d05-5180-4c35-abcb-8024e300e93f · inbound

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art cites this paper.

Kaleidoscope Gallery: Exploring Ethics and Generative AI Through Art Large Language Models Reflect the Ideology of their Creators

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:52.664724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9798a2db-ce06-4590-bb9b-aff9875bf40f · inbound

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification cites this paper.

Analyzing Political Bias in LLMs via Target-Oriented Sentiment Classification Large Language Models Reflect the Ideology of their Creators

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:10:29.932545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b806e24-ecc1-4c7b-b8b0-bcdcdaab2c7a · inbound

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs cites this paper.

Are Economists Always More Introverted? Analyzing Consistency in Persona-Assigned LLMs Large Language Models Reflect the Ideology of their Creators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:36.973527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf28561c-7d50-4ec4-b32b-f59daccdc819 · inbound

Adultification Bias in LLMs and Text-to-Image Models cites this paper.

Adultification Bias in LLMs and Text-to-Image Models Large Language Models Reflect the Ideology of their Creators

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:53.292831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09e656e8-57eb-41fc-832e-0a7800bb28a1 · inbound

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek cites this paper.

Information Suppression in Large Language Models: Auditing, Quantifying, and Characterizing Censorship in DeepSeek Large Language Models Reflect the Ideology of their Creators

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:58:26.179090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31d0f81-9d7f-425f-b95b-edf69bc9ccde · inbound

Public Service Algorithm: towards a transparent, explainable, and scalable content curation for news content based on editorial values cites this paper.

Public Service Algorithm: towards a transparent, explainable, and scalable content curation for news content based on editorial values Large Language Models Reflect the Ideology of their Creators

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T22:12:38.704256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e50e678-d343-40a8-a594-73ae26bc9a45 · inbound

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity cites this paper.

Generative Exaggeration in LLM Social Agents: Consistency, Bias, and Toxicity Large Language Models Reflect the Ideology of their Creators

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:37.247707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86967d6-e3e5-4782-9439-4cfef507d4a0 · inbound

POW: Political Overton Windows of Large Language Models cites this paper.

POW: Political Overton Windows of Large Language Models Large Language Models Reflect the Ideology of their Creators

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T22:56:31.326368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22a03cb-4619-4d5c-9b9c-64254bc6bf22 · inbound

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs cites this paper.

Talking to a Know-It-All GPT or a Second-Guesser Claude? How Repair reveals unreliable Multi-Turn Behavior in LLMs Large Language Models Reflect the Ideology of their Creators

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-05-10T02:22:21.083669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3e584a83-a3bc-4a83-b4c7-3c30c762fe75 · inbound

From Context to Skills: Can Language Models Learn from Context Skillfully? cites this paper.

From Context to Skills: Can Language Models Learn from Context Skillfully? Large Language Models Reflect the Ideology of their Creators

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:15:31.465518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3977fc17-b633-437f-b5e7-6f18eed70383 · inbound

Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments cites this paper.

Language Ideologies in a Multilingual Society: An LLM-based Analysis of Luxembourgish News Comments Large Language Models Reflect the Ideology of their Creators

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:21:30.584192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c6229dbe-36b9-4d75-81e8-0f3df38f4cb2 · inbound

Prompt Governance? On Governing Technologies Governed by Natural Language cites this paper.

Prompt Governance? On Governing Technologies Governed by Natural Language Large Language Models Reflect the Ideology of their Creators

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:25:33.479414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation abbaa1d6-36f2-4f15-91f7-d763dd15ac5e · inbound

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets cites this paper.

Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets Large Language Models Reflect the Ideology of their Creators

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-04T09:59:45.858116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5ac56675-0555-40ac-ac79-f6b5aaf5aff9 · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins Large Language Models Reflect the Ideology of their Creators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T07:44:02.771620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.