Pith. sign in

Paper Citation Record · LEDGER

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases

As of 16 August 2026, this Paper Citation Record lists 100 of 165 outbound references and 0 inbound Pith citation observations for arXiv:2608.10503.

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

pith.paper-citation-record.v1
2608.10503 v1

Coverage vector

measured 100 of 165 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:25:16.699777Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

100 of 165 outbound references displayed

  • verified exact9
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c611170-e9cf-433d-8efd-11d071007711 · outbound

This paper cites Frontiers of Computer Science , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Frontiers of Computer Science , volume=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.207961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.207961Z digest=sha256:6c9452ffd847abe4f81c6939807a942059030f92b7ff5fdad22eb228de63c44c

Observation 09b3292e-70c3-4412-b557-1ce9433a2b63 · outbound

This paper cites Science China Information Sciences , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Science China Information Sciences , volume=

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.213799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.213799Z digest=sha256:8cc0cad49b2f7d7b96ecf23b4908b1f1296e9b00d5f1673f65ff8080fe05a0c9

Observation 71aba822-bf7e-41f6-a038-4ee588956470 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Measuring Massive Multitask Language Understanding

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.218999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.218999Z digest=sha256:ee42d537128b6b7f4d7320f121504f41130409d1c5fe4ff501e55ff316403e85

Observation 8857a4cf-adad-4fa3-b9a3-b748971f57d5 · outbound

This paper cites Annals of the New York Academy of Sciences , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Annals of the New York Academy of Sciences , volume=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.225073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.225073Z digest=sha256:d4c13946890842513634169f48c630a15d43c237c825d8e8da6bc9921da55ead

Observation de41c9e4-d7a8-4211-ad36-700a1364ddd4 · outbound

This paper cites an unresolved cited work.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.229974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.229974Z digest=sha256:c35424ec603f357b4a5c72be92d583893f6adf4146d0a0a4cf2dc14daf0b5319

Observation 5c1ccfa0-0810-4609-88cc-848411d5d430 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Transactions of the Association for Computational Linguistics , volume=

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.235533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.235533Z digest=sha256:c7a2d6cf9bc5e3e65dd6585ce285dadabcea2a82486c7ff4b1aa2c1b19f8aa40

Observation aa27a862-cef7-4d51-ad48-c39c27a4eaea · outbound

This paper cites Science Advances , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Science Advances , volume=

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.240904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.240904Z digest=sha256:009b86f661dcc4ba09ac0f79bc98d5a1ca204e2ffbf1e8c381ac43d84287d5fc

Observation 1e3f5775-2229-4929-81c1-4d8be3d71d1f · outbound

This paper cites Advances in methods and practices in psychological science , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Advances in methods and practices in psychological science , volume=

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.246167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.246167Z digest=sha256:d52570a65ed7109be2cbf00892427b2f9ce73504e4d277669f525d7dac30e01f

Observation f95e94f6-bbbb-459b-b21a-877397b8ca91 · outbound

This paper cites 2009 , publisher=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2009 , publisher=

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.250798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.250798Z digest=sha256:f0e2e6a351780d16091828440063d5ff52f66a26b54102d6a330df40491fe31a

Observation f7bdd74a-b723-4e27-af8a-0aeddb49edca · outbound

This paper cites Value Drifts: Tracing Value Alignment During LLM Post-Training.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Value Drifts: Tracing Value Alignment During LLM Post-Training

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.255780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.255780Z digest=sha256:3d55d012e86c2c42108b952a067a3f115b1985e28c56e5597c25c89c19dee80a

Observation a9349a6c-cfea-4697-b325-bbf9d2b53006 · outbound

This paper cites arXiv preprint arXiv:2603.05909 , year=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases arXiv preprint arXiv:2603.05909 , year=

Reference 11

Resolution
verified exact
raw_fallback, observed 2026-08-15T14:25:18.114146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.260863Z digest=sha256:4cc19a285990252fe591a8507830356d09aa45cd4fa8f808888a7823c89da03b

Observation 14b482a4-947c-4e3c-bb35-a4d2ec745256 · outbound

This paper cites Psychology & Marketing , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Psychology & Marketing , volume=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.266063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.266063Z digest=sha256:a24c4a279aad62a3717355d00f445f3c9b55f9d5313fb40cc81e673c577038a0

Observation 181a6040-7bc8-4ab2-85eb-c86e83c0d1a6 · outbound

This paper cites Journal of Electronic Commerce Research , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Journal of Electronic Commerce Research , volume=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.270800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.270800Z digest=sha256:d54a51746b4422207da1dcb3ac136a29183ca5116bed51d65d0d9d7929f4eef6

Observation c5fa5d3f-7924-4d3b-8133-0167bf48578c · outbound

This paper cites Phalanx , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Phalanx , volume=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.275957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.275957Z digest=sha256:ab4f88d6533f6348e7e036c1bed3572c98290e6413ef14688916f396a1f5a754

Observation 89d02f91-e409-4d5a-af24-65a2daba09e1 · outbound

This paper cites Are Multilingual LLM s Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Are Multilingual LLM s Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.281039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.281039Z digest=sha256:282efc5a3accb869ade6b0c43d3fd088959cb64799f1425e09d136c7ccb3f9f9

Observation a19bc1af-26c7-4d5f-8d71-faab40c8ee56 · outbound

This paper cites Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Do You Know About My Nation? Investigating Multilingual Language Models' Cultural Literacy Through Factual Knowledge

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.285991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.285991Z digest=sha256:cbb09f37f334c9d045163297e8e88e6fb41109e4180a0551635c4c765253513c

Observation f2a8ddfa-7308-4297-9c75-9a89e19d2b46 · outbound

This paper cites W orld V alues B ench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases W orld V alues B ench: A Large-Scale Benchmark Dataset for Multi-Cultural Value Awareness of Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.291784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.291784Z digest=sha256:296e8ad60851271c307f9f4ced6e45a706c2775e512e7f711a96ef95b4d7b585

Observation a874fe11-9d97-4c44-8d28-a7e4f9bbbfb9 · outbound

This paper cites On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases On The Origin of Cultural Biases in Language Models: From Pre-training Data to Linguistic Phenomena

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.296700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.296700Z digest=sha256:a9a0d3e4edfc3b4d63aeaa7aa0129b58042b8b86aac33cda90ed3b3c41f1970c

Observation a75d4fce-1d0a-4fac-9fa5-3e8e04548fd0 · outbound

This paper cites Tailored Emotional LLM -Supporter: Enhancing Cultural Sensitivity.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Tailored Emotional LLM -Supporter: Enhancing Cultural Sensitivity

Reference 19

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.476520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.302104Z digest=sha256:81c0f10c226f431067efc449d26dbc7b464c535a54ed8f437e9183e221206861

Observation 19a4ae96-a9aa-47ae-92e2-2c1f60de67bc · outbound

This paper cites Reading between the Lines: Can LLM s Identify Cross-Cultural Communication Gaps?.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Reading between the Lines: Can LLM s Identify Cross-Cultural Communication Gaps?

Reference 20

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.461321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.306641Z digest=sha256:1f4bb7e6919ec4aff1402e32d6af6733c3fd6b657292518f50d25d2752379924

Observation 585a4682-0270-4fdd-a71d-264d889cb0b8 · outbound

This paper cites Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLM s.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Break the Checkbox: Challenging Closed-Style Evaluations of Cultural Alignment in LLM s

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.311670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.311670Z digest=sha256:102eec111bd610c63b52816f76a8a9be31f23d585a3ebd49a128bf6115d7ceab

Observation 8f46e554-1479-4b4c-bf54-b589e346a80c · outbound

This paper cites Musical Ethnocentrism in Large Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Musical Ethnocentrism in Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.316805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.316805Z digest=sha256:212a4d79b54d84ab95940c8244f47a8e89ea3842dd4b5bac42f9f94ab9a44c13

Observation 25da7e27-ec87-436b-9e93-c1d70caa4ddc · outbound

This paper cites Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.321527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.321527Z digest=sha256:bf45c2cbf1a58f3684badc408bf6aeb1990c06206b6189ab6961f493c28d82b8

Observation 55a79dcb-f4ac-40a4-8350-49653b42f497 · outbound

This paper cites Psychometric Predictive Power of Large Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Psychometric Predictive Power of Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.326005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.326005Z digest=sha256:3723ac70ca4a546d6df187bdca1fbe9c4ff4efcc497ad8822d644cb0fb70fc97

Observation 0410a641-ae49-4e76-8300-30633396b42f · outbound

This paper cites You don ' t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases You don ' t need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.330216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.330216Z digest=sha256:215af69b6c5fe8ed876a0475c29edfa777b58573246e6893056d2d6af176686d

Observation 128d5296-5211-45a4-93d0-151b72183ae8 · outbound

This paper cites Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis

Reference 26

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.406107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.334731Z digest=sha256:7a33a49f1c40ee3b3c17fa0f1fdf1ee15dd0202c10d9c5ba01e34852fa839d36

Observation 83704df7-0ad9-4daf-b1f2-ae0b884dff82 · outbound

This paper cites Evaluating Language Model Character Traits.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Evaluating Language Model Character Traits

Reference 27

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.391304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.339219Z digest=sha256:b30ea3d613e5d0da0bbe22a2287c4a921b8077d6efd980b179d8952cbbc49599

Observation f916a7b1-f9f5-49ed-a78b-f54409091789 · outbound

This paper cites Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions

Reference 28

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.375323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.343699Z digest=sha256:f6782861a3fb4a2bc33140cf1d845d6aba3c9becd3a99d117d2237d2d2a70e91

Observation 878b4eae-b873-48c9-ba8e-9510a89194f7 · outbound

This paper cites and Askell, Amanda and Grosse, Roger and Hernandez, Danny and Ganguli, Deep and Hubinger, Evan and Schiefer, Nicholas and Kaplan, Jared.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases and Askell, Amanda and Grosse, Roger and Hernandez, Danny and Ganguli, Deep and Hubinger, Evan and Schiefer, Nicholas and Kaplan, Jared

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.349054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.349054Z digest=sha256:e2daff2a582ad12425012dbf6b2f6157b798b8c7a60e522dfa79e89ac927a436

Observation 6e5b33cd-2d71-4281-a2f9-4ada6b17137a · outbound

This paper cites Journal of medical Internet research , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Journal of medical Internet research , volume=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.354089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.354089Z digest=sha256:1d4e731e8f8a9fca79337268df770db01b1e7ef6f0059d3343e1cbd4cb11da69

Observation d23ee04e-6cb5-484a-9b1a-ab4e823f50b8 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Language Models (Mostly) Know What They Know

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.358576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.358576Z digest=sha256:a0d77bd829341dff39326da9c756f335dd3b6cee4f31b33bc413a77acff4cf0d

Observation 623b9499-86de-492f-9be1-0c538627b626 · outbound

This paper cites Navigating the Political Compass: Evaluating Multilingual LLM s across Languages and Nationalities.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Navigating the Political Compass: Evaluating Multilingual LLM s across Languages and Nationalities

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.363112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.363112Z digest=sha256:d3c964880cada1236b49d6996744e43b9034e5f4a8b970ea4b68846c605494ad

Observation d2931f92-9252-4223-9874-e4c3fe4f0708 · outbound

This paper cites Evaluating Psychological Safety of Large Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Evaluating Psychological Safety of Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.367500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.367500Z digest=sha256:565e6a380d0b0da101c56fef40561402667403f55d7b30175a9ceca75266f27a

Observation c88504a5-f409-4a6a-a09f-ccd80096095d · outbound

This paper cites Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Decoding Emergent Big Five Traits in Large Language Models: Temperature-Dependent Expression and Architectural Clustering

Reference 34

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.340841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.371923Z digest=sha256:c63ca89551a9a954ceb91cbe576447f39eb25e3ac269eda37e082a02ba7f1d76

Observation b11289d7-e31c-4776-975b-e111f7cbe5c4 · outbound

This paper cites How Personality Traits Shape LLM Risk-Taking Behaviour.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases How Personality Traits Shape LLM Risk-Taking Behaviour

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.376254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.376254Z digest=sha256:cd4a85050df3bc0b4b6dd8b6219d344595d7c97eaa9c704a16081687e5462f03

Observation 42e07cb2-6d42-48c0-942c-97dd5fa1db3b · outbound

This paper cites Personality Vector: Modulating Personality of Large Language Models by Model Merging.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Personality Vector: Modulating Personality of Large Language Models by Model Merging

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.381080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.381080Z digest=sha256:328588dc0a5d4665b9c212afbebc013cd3b32e4ca985162572eebd614bb0b3df

Observation c23ceaa1-468e-449a-8ac4-f438e7b1123d · outbound

This paper cites P ersona LLM : Investigating the Ability of Large Language Models to Express Personality Traits.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases P ersona LLM : Investigating the Ability of Large Language Models to Express Personality Traits

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.386009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.386009Z digest=sha256:3141040a8631227a35331618c9c6e46a6b868490f6a3be6104b31b2ee07e9588

Observation 58d0db2e-746f-4f5e-8333-2f06a8ce0285 · outbound

This paper cites Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025) , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the 8th International Conference on Natural Language and Speech Processing (ICNLSP-2025) , pages=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.391124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.391124Z digest=sha256:b35e974e5db2eead9caa5161bb61077ba8f49d34b2a97ba6d47992cc22f9af0e

Observation f74a65b0-96bc-4ef0-bf3e-2bf442a1421b · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.395851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.395851Z digest=sha256:bbef827d790a60d31aacd7c55b2c615e24be82f7cc5ed439d25a87474cb2be52

Observation 682d2b38-5eeb-4329-b34d-a7af9b37664a · outbound

This paper cites an unresolved cited work.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.400632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.400632Z digest=sha256:d3681fa1ac00e12eb8218eaf628bd4e1fde31a1de9f1feb2d7c318a7ea6872ff

Observation b3ad77d6-b775-4d05-9bd3-f35375694010 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.405514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.405514Z digest=sha256:700a557e53f1c7f94c48b4ce28a33fc5d6dd8512bb1aafbbaeab4cca8075a6df

Observation f42a3100-a26a-46fa-884f-d4b6b6700ecb · outbound

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

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases POW: Political Overton Windows of Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.410213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.410213Z digest=sha256:c89b4aee5c1cc87c4dd11d5b482d08723e2611e6febb6683a588603c229c7326

Observation d22e13b6-4838-44dc-9b19-90f7c2442e84 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Findings of the Association for Computational Linguistics: EMNLP 2025 , pages=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.415303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.415303Z digest=sha256:7a46dee031958281ac5a306c96e8e3171feadf14f88b22c1f7adb16d68a86c7b

Observation f8397b2f-8ecf-480e-966b-9296b18c0474 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.419963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.419963Z digest=sha256:fe0279f7916805e586ade61c7ff119790f030cb73d1df296355829eb57269c0e

Observation 52981357-1388-48db-b287-0a95cfab6fbb · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.424489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.424489Z digest=sha256:d52180a1740e9b5a83dceb0c836f1540fd3f116f1dc9bd49bacfcaecd68a7836

Observation 529a6b08-27cc-4acd-8d20-8e38a6cf933a · outbound

This paper cites Computational Linguistics , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Computational Linguistics , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.430565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.430565Z digest=sha256:482a7ddb25761dbc4229585ad8dce7eb77ba1be81ae85ea5cb3e38b17bffeb5b

Observation 23270dc9-54c3-4a47-a0d5-d15e2107d967 · outbound

This paper cites Likert , author=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Likert , author=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.434656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.434656Z digest=sha256:688498711acec23ac75b6e4f2f5fbabaaef47fde84498993178b49409ddc39a3

Observation 8b50d184-4c81-4955-9898-9b0565647762 · outbound

This paper cites Proceedings of the First Workshop on Large Language Model Memorization (L2M2) , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the First Workshop on Large Language Model Memorization (L2M2) , pages=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.439210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.439210Z digest=sha256:64a3336a41cd82b5fc7e785e0d4d21486c8950fe796060faede302d43cf5a222

Observation 75f8765d-34fb-4bca-9107-15763dcd33e3 · outbound

This paper cites Proceedings of the 2023 conference on empirical methods in natural language processing , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the 2023 conference on empirical methods in natural language processing , pages=

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.444247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.444247Z digest=sha256:884acf908d68f8b608d27c74dd055e8fc0176b5f6bbea5a714df930c78843a70

Observation 94338196-e7fc-4032-8dca-fe34dfa89968 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.448902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.448902Z digest=sha256:523868476ef30b3b10554b19403ffcd806018b8de9c235d7bf35f07bac6bb1f9

Observation 7472fea9-0eff-4a80-9273-84f684d7900e · outbound

This paper cites 2008 , publisher=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2008 , publisher=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.454242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.454242Z digest=sha256:09464b92e4c1d22bfdddd2cffe50eba5ea372f72637f3d9f6cdfb436a864d811

Observation 25762ad1-7177-444e-8e4d-9f12e70ce3a2 · outbound

This paper cites an unresolved cited work.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.459176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.459176Z digest=sha256:b95b706ab30f9c8015452428b7db4c7d1b048965f19f2d7d24d42db8b745791d

Observation ab075b3d-9812-4b61-bfbd-551bd3e80376 · outbound

This paper cites On the foundations of combinatorial theory: I.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases On the foundations of combinatorial theory: I

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.464734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.464734Z digest=sha256:ee3c1593463f5bbe4275dc192a99c058025686d3d29aa6ab7a70f1ae90b686bf

Observation f9f79ddf-0638-4d0c-95e1-4eacba373657 · outbound

This paper cites 2023 , eprint=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2023 , eprint=

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.469783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.469783Z digest=sha256:022fdbea45120618f5ed8b06036b5e043a86c16f83d1b76756317e3c8f22e5b6

Observation b88fca9d-e3f2-47df-b380-5a9d7e9d5112 · outbound

This paper cites 2024 , eprint=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2024 , eprint=

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.474538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.474538Z digest=sha256:be84abfa92559651d70418d56032aefdd19b25a5c7bc5ad32975607a9efe57d2

Observation 61c91e9d-bcb6-43ab-b7fd-2b9db79a7398 · outbound

This paper cites 2025 , eprint=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2025 , eprint=

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.479492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.479492Z digest=sha256:52647ba7fe2badfd7a75a28845356c474ed67411d6ff15439b7fbee283700bcb

Observation 30008c2a-d9e1-4a81-8481-e2c8f6b45870 · outbound

This paper cites 2025 , eprint=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2025 , eprint=

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.483942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.483942Z digest=sha256:ec2d09004bd8d58c842b2f38f619b69d646d5191df9cf87eac99e64454cfe62e

Observation dff67b3d-7671-4cef-a77c-48f1a37729d9 · outbound

This paper cites 2024 , eprint=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2024 , eprint=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.489374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.489374Z digest=sha256:920eef12ec81b324e6fcfaad73f345a88e3a1bd81da17203feeebfbbda8640c3

Observation f08738c1-b8dc-46cd-8c9e-c1b404ea108b · outbound

This paper cites 2003 , publisher=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2003 , publisher=

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.495207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.495207Z digest=sha256:0af253db51b44a94e0353457b853f3e87bcf363a90463ea2f2a99c6d303a5746

Observation 214b7812-9400-4f87-abc7-c57484673a08 · outbound

This paper cites Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Instructed to Bias: Instruction-Tuned Language Models Exhibit Emergent Cognitive Bias

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.499898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.499898Z digest=sha256:44cd05466b0ed36bdc29ab2fabf88c66ecbcaa6dc5f210bd2a4d86f9ed6796d7

Observation 0a910f39-4ca5-421b-afdf-a80c46eadc38 · outbound

This paper cites How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases How Does Cognitive Bias Affect Large Language Models? A Case Study on the Anchoring Effect in Price Negotiation Simulations

Reference 61

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.285203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.505283Z digest=sha256:dec5810168ad7614e1d5e3d401b283d00c0a50f143a8de6fdff51e324653ed47

Observation 62733a62-17ff-4130-b0a9-d0e403d268ea · outbound

This paper cites Cognitive Biases, Task Complexity, and Result Interpretability in Large Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Cognitive Biases, Task Complexity, and Result Interpretability in Large Language Models

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.510771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.510771Z digest=sha256:2ba7e8d926c5bf5be031fcde058a72486150e85626b5e9a42f1f31b3e0767df0

Observation d87af891-6982-4a9a-bc92-e04f0b7964f1 · outbound

This paper cites Benchmarking Cognitive Biases in Large Language Models as Evaluators.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Benchmarking Cognitive Biases in Large Language Models as Evaluators

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.515873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.515873Z digest=sha256:41f1884f9f7727266df2723c43ec3c65fa1877d396d724a9e0a644f9bcdf5e14

Observation 9b44fa37-dcd4-4f7b-b8ad-a6d70678edf6 · outbound

This paper cites Findings of the association for computational linguistics: EMNLP 2024 , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Findings of the association for computational linguistics: EMNLP 2024 , pages=

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.521261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.521261Z digest=sha256:52218589443fb9493fec1d0d5ea75b1b012d28f0f02a7178f2f345e84b2b78de

Observation cc55b55b-c2c4-4e68-a0bc-4bf20a247429 · outbound

This paper cites Royal Society Open Science , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Royal Society Open Science , volume=

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.526356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.526356Z digest=sha256:8869f212901e1d6e988484803fb52ccc6250988ce66e876c76b5cb43c869723b

Observation cf2299d5-2d84-41be-8f66-73e86ae23cad · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Advances in Neural Information Processing Systems , volume=

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.531284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.531284Z digest=sha256:8e8bd0de0073b02754ecaeb2b214c54ae383d4db97eab6e2bb16b70d163a7101

Observation 3ce493fa-8f11-48f5-abeb-a0656b7c2ddb · outbound

This paper cites LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases LLM economicus? Mapping the Behavioral Biases of LLMs via Utility Theory

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.536105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.536105Z digest=sha256:c551e55f8e2051c3ead4e917468e6855cf21cef0956d732378bc10c92adb74c4

Observation 2d5e27d7-040f-4ce6-b409-3ab3e971ec38 · outbound

This paper cites Computational Linguistics , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Computational Linguistics , volume=

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.541857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.541857Z digest=sha256:9533080a4b5cdae0b9f5283264a2199c8a1efad39f07ef022070b6b2a8be4115

Observation 2a692f91-fb76-4064-b75e-7564c33ea8ad · outbound

This paper cites Toxicity in chatgpt: Analyzing persona-assigned language models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Toxicity in chatgpt: Analyzing persona-assigned language models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.547130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.547130Z digest=sha256:b81393b8e856a108398e41ba70415cf7f0dc196d85fabe2d380b6b5a14e8d043

Observation 9794c9af-4b16-4697-9fe2-5bcd5251a6b3 · outbound

This paper cites Realistic Evaluation of Toxicity in Large Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Realistic Evaluation of Toxicity in Large Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.552628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.552628Z digest=sha256:1fd5f3110d935cf9bca0d6621e4c948ab650529c73b5dfc3cc2c3346b5c538ef

Observation bc2e6999-725d-4ffb-98c6-244d8c0520c9 · outbound

This paper cites Unveiling the Implicit Toxicity in Large Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Unveiling the Implicit Toxicity in Large Language Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.557527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.557527Z digest=sha256:227ae7fea9d1ba13bd522962e57ec92fda4b4e4edfa63d3325881a71f27badef

Observation 747d0f0a-7714-4c4c-8eea-3a26492f7de0 · outbound

This paper cites Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Do Large Language Models Discriminate in Hiring Decisions on the Basis of Race, Ethnicity, and Gender?

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.563177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.563177Z digest=sha256:a886c40f96e5ed1a5ee357dd379f0fa8f92ed0232da8bb838144de7216badc32

Observation 315c699d-a437-4b50-a119-845d8eba3ea6 · outbound

This paper cites Examining Gender and Racial Bias in Large Vision -- Language Models Using a Novel Dataset of Parallel Images.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Examining Gender and Racial Bias in Large Vision -- Language Models Using a Novel Dataset of Parallel Images

Reference 73

Resolution
verified exact
doi, observed 2026-08-15T14:25:17.216746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-15T14:25:16.568286Z digest=sha256:de0bfc815d03d175b3b5e75400fe5acf3a01cc8f2e0ab691090e5b9fbc77507c

Observation 80efe16d-0fef-44c4-be5b-f93df81314ec · outbound

This paper cites R eal T oxicity P rompts: Evaluating Neural Toxic Degeneration in Language Models.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases R eal T oxicity P rompts: Evaluating Neural Toxic Degeneration in Language Models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.573547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.573547Z digest=sha256:69f31ec0c8baef68643ac5eab50a50373e64c76c0015f860ad425c2fa8f7129f

Observation 6c51f8e4-f0ae-4420-b858-4539338348f7 · outbound

This paper cites Synthese , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Synthese , volume=

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.578524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.578524Z digest=sha256:00c0c7c76c4f692ea80138395acd4d22e12d473d70c6bd5c3e27fc5dcef3ea0a

Observation b9672449-3217-4fa6-ab4f-a6eaadccf184 · outbound

This paper cites 2013 , publisher=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2013 , publisher=

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.583328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.583328Z digest=sha256:a53839f9eb26a43992acddf714d623cb31a3387bdd0490e517f417473cbeab1d

Observation 3edb8768-bf78-4a30-bcfb-b3dbc1e7ce9c · outbound

This paper cites and Chen, S.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases and Chen, S

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.588266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.588266Z digest=sha256:06a2772e76057765389437703230ad7068e4bad965ef16f6be264e7a52446f2f

Observation 1192a327-223b-4196-8f13-971060e0d4e3 · outbound

This paper cites and Lüdecke, Daniel , title =.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases and Lüdecke, Daniel , title =

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.593608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.593608Z digest=sha256:bf309cdf6ed060db59096d3cc1062cac1b21249fa4cd4a3201f6e7676cce6260

Observation 6f0c17d9-29fd-450c-ac41-eeab4047f151 · outbound

This paper cites The 2025 Conference on Empirical Methods in Natural Language Processing , year=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases The 2025 Conference on Empirical Methods in Natural Language Processing , year=

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.598619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.598619Z digest=sha256:bd0946ee7935e5869718575524a0ad360c4bbb18f8547647f99c237e2a21df17

Observation 42463486-a68f-4b22-94c0-940cea3f781a · outbound

This paper cites 2000 , publisher=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases 2000 , publisher=

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.603445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.603445Z digest=sha256:f97f7b43c5c041e9c269f1fe65ff43c2f6ad470efd98bea99188abaaff52ff5d

Observation 695442fe-8437-4364-b9cd-698cc44024ab · outbound

This paper cites Nature , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Nature , volume=

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.608253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.608253Z digest=sha256:88bdc760ecccfceafef193055f5b7020bb961e4e1c4db2fc4535d7c6082b8934

Observation 7c4a24d0-571e-4a61-b987-d51eae55e271 · outbound

This paper cites Journal of marketing research , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Journal of marketing research , volume=

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.612999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.612999Z digest=sha256:9e2ad1e00f4d90d755cb5c6336bbe95a2f388d8ba06623b1da0d64397078acbe

Observation 76e9052d-0520-474f-9e4a-926f2f18e065 · outbound

This paper cites Educational and psychological measurement , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Educational and psychological measurement , volume=

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.617643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.617643Z digest=sha256:1eda5bab82a973653ae13ed1d30d4e030d8d9778792c177e958956d766facdb6

Observation 7825f2e0-c215-442d-a5b9-c708134c7e13 · outbound

This paper cites International Journal of Approximate Reasoning , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases International Journal of Approximate Reasoning , volume=

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.622387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.622387Z digest=sha256:343069a3bd1362946575d97fe4641aae3c83f779e0effe04df6c742771c69bf3

Observation ba97e24a-fef5-4935-90b3-4c897b86e6ee · outbound

This paper cites Environmental and Resource Economics , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Environmental and Resource Economics , volume=

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.626800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.626800Z digest=sha256:0f756517b9a93f572c4c3975083637f0d578f459d8161de362b77a2dc11c8a70

Observation 3f334c77-f3a2-466d-928b-6cd0737e9e45 · outbound

This paper cites Journal of rural social sciences , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Journal of rural social sciences , volume=

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.631834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.631834Z digest=sha256:a24d1c20028b7fc6b0cab8d59560a1bd6eab540346a1919129c0b5cb5c4a1927

Observation 00981f9b-80b6-4997-af3f-9e7863deef9a · outbound

This paper cites , author=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases , author=

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.637147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.637147Z digest=sha256:acdaa3dfa6b68059a0b620fa1b17ad3713c4074eb2360ce7ce0cd72e1ccbd3dd

Observation bc383e6a-2ed5-410b-a6e5-f4e7137d6b08 · outbound

This paper cites British journal of applied science & technology , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases British journal of applied science & technology , volume=

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.642354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.642354Z digest=sha256:16e3fc9c0a3022d02e6e89082f3ab0b195856ec6bac688e17ae7ef74fbee6da2

Observation 0b6ea097-e001-4cac-8cb5-d48a653e4ab2 · outbound

This paper cites Aho and Jeffrey D.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Aho and Jeffrey D

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.647186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.647186Z digest=sha256:30c0a6e1f0755801b12a0f77edd2919e73a3ed59bcfc3f7482b76e462580f891

Observation 10fb6348-d7b0-4191-a60e-bc0c0d1a6e4c · outbound

This paper cites an unresolved cited work.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Unresolved cited work

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.651910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.651910Z digest=sha256:74290845447b186d09714f29fa1a3a188e9ffc83023bf39e93d9ba535d6c07f9

Observation 4074dc6a-687a-42c4-8303-6afef7f09455 · outbound

This paper cites Chandra and Dexter C.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Chandra and Dexter C

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.656600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.656600Z digest=sha256:2034e78ff572a277d16594fad10fd8d009541cfd81457afe21ca22bd59b9cd16

Observation 78273331-ef81-47be-b5bd-99950129ac52 · outbound

This paper cites Scalable training of.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Scalable training of

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.661415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.661415Z digest=sha256:69beb70f5595b1f4d712fdc142f68db4c88a988487e978a22a99649458b680ff

Observation 0a3031a2-ef3a-41df-885f-0d26a171f637 · outbound

This paper cites an unresolved cited work.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Unresolved cited work

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.665965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.665965Z digest=sha256:840e12559caf8f21e1525a52e204df92492c08394ebf12317375bf4bb026d022

Observation 467b28d1-888c-4709-b321-08c9036294d9 · outbound

This paper cites Tetreault , title =.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Tetreault , title =

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.670836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.670836Z digest=sha256:7981b291e068b8730b12ba9aaf2bdf3210bbec3b741b07e8651a4fdc336d28f5

Observation 4ccd6171-f719-4807-bf96-bb69b84aeecd · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.676020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.676020Z digest=sha256:df60a6d363da3540ab6aae26491dafabdea8f8e9eda6b92ca776df890d90b08c

Observation 2d0db7b7-4053-4f13-bc39-ef9c41fe75e5 · outbound

This paper cites Scientific Reports , year=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Scientific Reports , year=

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.680948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.680948Z digest=sha256:2e89640714efe3367cc8f4be98e1a67178fdf79a2b990607dc79b6fc3fec6734

Observation 9ec47b78-f13a-48c0-85c5-dca34f549476 · outbound

This paper cites Artificial Intelligence Review , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Artificial Intelligence Review , volume=

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.685688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.685688Z digest=sha256:b17411d3a8041ee963859c014278d4fa0e797a5a0694f316baa3da97b631fe6f

Observation b23219ae-83b0-411c-aeeb-501fbd19fe60 · outbound

This paper cites Proceedings of the 31st International Conference on Computational Linguistics , pages=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Proceedings of the 31st International Conference on Computational Linguistics , pages=

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.690296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.690296Z digest=sha256:b34acc4b7f08ffcd6fc47a7fb710da8e88b52885f5241c43c17d78d1dcf7809c

Observation 2fca48bb-73a9-4176-bb3d-3bd39a2aa90a · outbound

This paper cites PNAS nexus , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases PNAS nexus , volume=

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.695052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.695052Z digest=sha256:db83e8e9d8d3bd1c0bb4daf7183095471c15ff28f346af8bee1affba8fa3949a

Observation f2231d4f-81aa-42e4-a894-d25bf85d0815 · outbound

This paper cites Frontiers in Political Science , volume=.

Every Token Counts: Exact Likert-Scale Distributions for Measuring LLM Attitudes and Biases Frontiers in Political Science , volume=

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T14:25:16.699777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:25:16.699777Z digest=sha256:6e80f394c9ac434270c246b6dc7e32a4d2c61d9f5ebe7adf7d448d445a45834a

Pith citing papers

No inbound Pith citation observations are available.