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Paper Citation Record · LEDGER

Large Language Models Reflect the Ideology of their Creators

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:52.664724Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T17:49:21.098232Z digest=sha256:fd62f941a7b88e0773dc608139ef6bcf48ef4a5462de186c0a7c81113c0b71c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T02:24:14.221512Z digest=sha256:bf47598ef4769134f4a6089fd798d2524234104086bd6f3640a6a201020d0e4d

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.

source=pdf_text observed=2026-08-07T15:36:52.664724Z digest=sha256:c3c8c97d9db49963a15c45d684d3045732ea0beb05a64e13c541eb63dfd4ce13

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.

source=arxiv_source observed=2026-08-07T14:10:29.932545Z digest=sha256:054f997947a047279ebb4ddc0d610ace60864dca2fd787b6de3170d410af0389

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.

source=arxiv_source observed=2026-08-07T11:23:36.973527Z digest=sha256:9f294d2676716dc5e35c6514700cb407bb64ea8b9968b9425252c56eca91a68f

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.

source=pdf_text observed=2026-08-07T05:42:53.292831Z digest=sha256:285ba74e8476ec5dc46fc2d7fc1690106cbc3affeed4ed9ab0c88fc882978a8e

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.

source=pdf_text observed=2026-08-07T00:58:26.179090Z digest=sha256:ed5be0d957fb1ec872bf00102d0571328d89034bd7e1f2a7eeec4c7fcd481edb

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.

source=pdf_text observed=2026-08-06T22:12:38.704256Z digest=sha256:e00d86a8512ae8a0c53fc508eec98ee0cc9937877431172cb5774bbdc49a7deb

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.

source=arxiv_source observed=2026-08-06T21:15:37.247707Z digest=sha256:f56eb59da518c7eff9de2794c874596d94b92a6656325bc7e209aa6b39f0d3fd

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.

source=arxiv_source observed=2026-08-04T22:56:31.326368Z digest=sha256:8ca088acb1b3563b26fbb2f42b78beb8e500d4f65ce5970ec86b8f4daccd3495

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T02:18:07.162514Z digest=sha256:b1ecf1e6304c6de023055c3fae30d48349deb9bbcf698c6478cf05f1c748d831

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:12:23.599184Z digest=sha256:9799ac821eb617f9f87310e7e3dfd6a8d7a0958606c6cd7498a69ca08fd78ffe

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T06:24:24.792419Z digest=sha256:2986e46e3a4688d6b5120ed0919090bb5332caf059503ab737d887325f86b286

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:17:10.481202Z digest=sha256:703ff811e50b71149990b5914d72a17cdce5fc3bf5d333749073deecd7837984

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T09:12:19.873337Z digest=sha256:3725cf1a310d31f66fc2ecc45e1e510cb9aff6eaec082baab50a9fb57b68148e

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.

source=pdf_text observed=2026-08-02T07:44:02.771620Z digest=sha256:40b1eef29d1da25a9de0da7fd89ae09b0234b1cf92f46b22501096e152919eae