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Paper Citation Record · LEDGER

Language (Technology) is Power: A Critical Survey of "Bias" in NLP

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2005.14050.

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

pith.paper-citation-record.v1
2005.14050 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:24:57.019433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c343cfc5-8acd-4862-b820-98bf6620b310 · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 2

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arxiv_id, observed 2026-05-10T12:05:38.085112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T12:05:38.045330Z digest=sha256:0c84696354aa34858b6fade41817a6e81e96b6e04b53cffad4992e4057ad1b17

Observation 9e2ddbe5-aff0-4d48-9585-de4ce326b88b · inbound

The Pile: An 800GB Dataset of Diverse Text for Language Modeling cites this paper.

The Pile: An 800GB Dataset of Diverse Text for Language Modeling Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 134

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arxiv_id, observed 2026-05-10T21:35:18.830754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T21:35:18.513342Z digest=sha256:4f97f70f1b5ca8b3220be2b7123a412bac69f8a4a09433559149d1eae1da5a10

Observation 3f09fbd6-a05c-4118-b400-1a5f74a7b43f · inbound

Ethical and social risks of harm from Language Models cites this paper.

Ethical and social risks of harm from Language Models Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 29

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arxiv_id, observed 2026-05-11T18:24:30.442500Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T18:24:28.835688Z digest=sha256:77460f238b9fd82d6e3dc38f2c86893ce61ac3e08c4f48c3180fe45e22faa55e

Observation 00d27991-675d-4301-97fb-8fba77237760 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 146

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arxiv_id, observed 2026-05-13T05:53:22.101996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:95d66625cf5ec20bcf7f2c96587e0c205b459683f310204c495686da484ea3cc

Observation 83be0ce4-a5d1-49dd-8f05-f4c45fa57066 · inbound

GPT-4 Technical Report cites this paper.

GPT-4 Technical Report Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 40

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arxiv_id, observed 2026-05-09T04:17:18.134860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T09:49:30.972363Z digest=sha256:82dec6872618cb846aa9985c7971c9e2dd2f178e958db01bc4d7821709ac40b6

Observation 038cab58-1eb6-4277-94ec-ecf84269c492 · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 14

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arxiv_id, observed 2026-05-12T11:59:27.123903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T11:59:25.813128Z digest=sha256:855243e958376488f641a426f3e5fd6ecfdbdc0f587b6868fecac9d47716483b

Observation 5222752f-0c1c-4ca2-955a-02db2801b95e · inbound

Inertia in Moral and Value Judgments of Large Language Models cites this paper.

Inertia in Moral and Value Judgments of Large Language Models Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 7

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arxiv_id, observed 2026-05-23T22:05:50.224609Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-23T22:05:17.165589Z digest=sha256:c25cdc145ff4650e5a6f6993acd3e301d4d96ef71a40235eac5e605c4a83783a

Observation 644c212c-7550-4062-8e68-f8a0c4076fe1 · inbound

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data cites this paper.

Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 6

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source=pdf_text observed=2026-08-12T20:42:39.917594Z digest=sha256:a96b3736cc01de5178801c56e5083fccb8c1cbb0ce780b8e112854c8e672d2ec

Observation 58483c1d-c846-428f-8465-28b9a97d6ee1 · inbound

Popular LLMs Amplify Race and Gender Disparities in Human Mobility cites this paper.

Popular LLMs Amplify Race and Gender Disparities in Human Mobility Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 18

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source=pdf_text observed=2026-08-12T18:04:26.751617Z digest=sha256:8ae7a293d20be2bc0f846c64c001de1085e4fc2fd9bd350f05122663f9579cfd

Observation f21ba3bb-3aff-475f-9d1b-4a25f8fb2437 · inbound

Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment cites this paper.

Implicit Priors Editing in Stable Diffusion via Targeted Token Adjustment Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 6

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source=pdf_text observed=2026-08-11T22:31:57.214889Z digest=sha256:40c324d5610e70af248d38552a399c163fd53074ffb0a723b9d753a221b138c0

Observation fe12d68b-4892-44dd-aa4f-4244689b096e · inbound

Toward Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics cites this paper.

Toward Ethical Spatial Analysis: Addressing Endogenous Bias Through Visual Analytics Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 8

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source=pdf_text observed=2026-08-11T18:46:36.070767Z digest=sha256:6dd4a3d4f6475b50d038bd27795955bcfabda222fa4cb5b29517b9172c0041d4

Observation 7396645c-5079-4ce0-9b4a-47c4bace9f0b · inbound

The Generative AI Ethics Playbook cites this paper.

The Generative AI Ethics Playbook Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 24

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source=pdf_text observed=2026-08-11T13:15:10.339637Z digest=sha256:58e8d80ab9cf0bb8d8af16f94da033af68067270271d7fdeda77728a5bd8cb68

Observation 69310cdc-40e9-4c7b-ab07-388cae82ccab · inbound

A Critical Field Guide for Working with Machine Learning Datasets cites this paper.

A Critical Field Guide for Working with Machine Learning Datasets Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 66

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:17:56.906728Z digest=sha256:6a1dcd4663c5c23cf55941add3295451bdd8747d79e48f1c863ea1b647507547

Observation f127aaee-8481-4528-9aeb-3fc13bc596c9 · inbound

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping cites this paper.

ASCenD-BDS: Adaptable, Stochastic and Context-aware framework for Detection of Bias, Discrimination and Stereotyping Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T13:29:57.165685Z digest=sha256:90ca46cd8baad7c89ecc9441417c6d249e2ce509b769ec54c6fc71fc7a1e212a

Observation c775374b-a7bc-4ac4-85ee-856e99153b1f · inbound

Unbiased Evaluation of Large Language Models from a Causal Perspective cites this paper.

Unbiased Evaluation of Large Language Models from a Causal Perspective Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 2021

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no resolver link, observed 2026-08-08T14:51:15.358571Z

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source=pdf_text observed=2026-08-08T14:51:15.358571Z digest=sha256:8d6d99e234d0a0ec8f217797e9987abaa086e7dd25484ad17274572cba39ccc6

Observation 9ae3277f-80f6-491e-b3f5-6f9162daa6c5 · inbound

A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas cites this paper.

A Tale of Two Identities: An Ethical Audit of Human and AI-Crafted Personas Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 2020

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no resolver link, observed 2026-08-15T23:24:57.019433Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:24:57.019433Z digest=sha256:34beeafad1d5d93e686014c7b1ee2c55a393a910b04473c82bb5015284e86c59

Observation 3d3d8fb3-464f-457b-940b-a7fb3bbf086b · inbound

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) cites this paper.

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 18

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source=pdf_text observed=2026-08-07T13:43:07.329135Z digest=sha256:9df80ae5711092792a70a98d920c918e272e7163cd1e4893e0372029bdecd4b8

Observation 6291c7bd-0159-43a7-9dca-cb4a4c15896d · inbound

Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise cites this paper.

Whispers of Many Shores: Cultural Alignment through Collaborative Cultural Expertise Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 12

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source=pdf_text observed=2026-08-07T12:13:21.397032Z digest=sha256:43d8b2c2015175ae8f5821165a3c0bc00bf57e13bc67618cd6cae33bf3c21112

Observation cd2b9088-cf8e-428c-9357-4cfa7027ebd8 · inbound

Words of Warmth: Trust and Sociability Norms for over 26k English Words cites this paper.

Words of Warmth: Trust and Sociability Norms for over 26k English Words Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 7

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no resolver link, observed 2026-08-07T10:55:19.480263Z

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source=arxiv_source observed=2026-08-07T10:55:19.480263Z digest=sha256:7c4919e68783e95004e42b24cf665020d37449f200aa9a43aa538478082213ea

Observation 4282315d-db9f-4439-ba98-fd514f4a7796 · inbound

Understanding Gender Bias in AI-Generated Product Descriptions cites this paper.

Understanding Gender Bias in AI-Generated Product Descriptions Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:11:58.559387Z digest=sha256:dbe8a63d812c9db581bffb49cae37a55ff548bbd1c577e11f97455795518919d

Observation 09064e59-de57-4ed2-a2b0-18fc4f1567fa · inbound

How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language cites this paper.

How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 15

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arxiv_id, observed 2026-05-19T10:52:15.197727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T10:49:31.436011Z digest=sha256:d13394323002bbf1c4162583fadd6a3bbeafff26fe45f072fc8bc37c3a33db6e

Observation 622e62ca-fe6a-449d-9e91-59d3bde555e3 · inbound

Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection cites this paper.

Making the Right Thing: Bridging HCI and Responsible AI in Early-Stage AI Concept Selection Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 12

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no resolver link, observed 2026-08-15T19:11:23.470907Z

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source=pdf_text observed=2026-08-15T19:11:23.470907Z digest=sha256:55265b3cfa64acdb527e94baecbeae9bce217d7097a906f858afa508220c80c3

Observation bc3c04ec-0a41-4196-b233-ef047ece50be · 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 Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 22

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no resolver link, observed 2026-08-06T22:12:38.624722Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:12:38.624722Z digest=sha256:633ad4924572fe9c55fdfc51abf29d6dc2edefaa3332a6fa9cc90b02887cf7ad

Observation 3e2df55c-b4e9-48f9-a350-5984e8059c3f · inbound

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes cites this paper.

FairI Tales: Evaluation of Fairness in Indian Contexts with a Focus on Bias and Stereotypes Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 7

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source=arxiv_source observed=2026-08-06T21:54:42.950774Z digest=sha256:0670e20ab1d79e14eb90dc54911d904d22df56a9713b7ca1445fb5bf9b30e9cd

Observation ed1d5272-c6d0-452d-9876-2008382da5c8 · inbound

Bias-Aware Mislabeling Detection via Decoupled Confident Learning cites this paper.

Bias-Aware Mislabeling Detection via Decoupled Confident Learning Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 11

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source=pdf_text observed=2026-08-06T18:50:59.516198Z digest=sha256:b710fa667c13fe88ac5cbf2bccd323547fc49d527a90f68aa4f22e9efed22b62

Observation 979e5002-a5a0-4182-bc03-2335fe750579 · inbound

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance cites this paper.

When Large Language Models Meet Law: Dual-Lens Taxonomy, Technical Advances, and Ethical Governance Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 22

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source=pdf_text observed=2026-08-06T18:37:05.344874Z digest=sha256:573ea43122fe84039730ddcd5f79c655138f4b6efcf48186a7eab6ea92933faf

Observation 7f98f65a-6e7e-4c93-bdf2-db6feab8c248 · inbound

PrefPalette: Personalized Preference Modeling with Latent Attributes cites this paper.

PrefPalette: Personalized Preference Modeling with Latent Attributes Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 1998

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source=pdf_text observed=2026-08-06T16:27:57.198848Z digest=sha256:0449b03c01b84ec13aae502f16f3230434915408f9038fd6cc18c60e43d51b00

Observation cd1c5189-1fb7-4825-bb58-7010c6e6e6e1 · inbound

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English cites this paper.

Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 13

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source=arxiv_source observed=2026-08-06T10:23:57.630864Z digest=sha256:ae819580a24152c3116227fc59dd17685b83c386b3abfd0c4de88924d7afa571

Observation dbeabc91-9518-40ff-b1b7-2826a1bdb342 · inbound

A Survey on Data Security in Large Language Models cites this paper.

A Survey on Data Security in Large Language Models Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 4

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source=pdf_text observed=2026-08-06T05:04:57.736815Z digest=sha256:cd71d87cdf30e69217a77ce27c9ba61d43f05ff24d3bc3c93a4a8e4d2dd295ec

Observation b4e3cf98-761d-4b8c-8b12-ed713f29b5c6 · inbound

Private, Verifiable, and Auditable AI Systems cites this paper.

Private, Verifiable, and Auditable AI Systems Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 31

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source=pdf_text observed=2026-08-05T15:43:58.759450Z digest=sha256:745345a01f021db69b9927eaf6eef0633ae70172cae804a022aba300528f9f2e

Observation 7230a83f-bf07-4ca4-9a74-66d39bf4bf45 · inbound

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing cites this paper.

From Detection to Mitigation: Addressing Gender Bias in Chinese Texts via Efficient Tuning and Voting-Based Rebalancing Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 3

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source=pdf_text observed=2026-08-15T16:13:05.025624Z digest=sha256:c3d9a6cae965d3d9c6f3d372bd10fea9f73267dc106d05bd0ff099447384736b

Observation fc05d7a6-e570-4ab5-bc90-a8344621269b · inbound

Lighting Up or Dimming Down? Exploring Dark Patterns of LLMs in Co-Creativity cites this paper.

Lighting Up or Dimming Down? Exploring Dark Patterns of LLMs in Co-Creativity Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 1

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arxiv_id, observed 2026-05-10T23:30:52.725712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T19:02:57.403906Z digest=sha256:9cf25db848e8753fc78a5d944badd2929b3a3968eb2705bfc94e6192bc3b47c3

Observation 93dffa6e-e736-44b2-9196-228b14510ce8 · inbound

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning cites this paper.

Can We Trust a Black-box LLM? LLM Untrustworthy Boundary Detection via Bias-Diffusion and Multi-Agent Reinforcement Learning Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 3

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arxiv_id, observed 2026-05-11T00:30:51.255526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T18:30:17.607269Z digest=sha256:0408d741ca8b093e54c20dde69087c391b49a7d407a99f6ae4381dcf78242907

Observation cbd4796b-a754-4a33-9f90-2385a14cf35c · inbound

From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems cites this paper.

From Tokens to Ties: Network and Discourse Analysis of Web3 Ecosystems Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 2

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arxiv_id, observed 2026-05-11T12:46:16.933350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T02:59:05.695541Z digest=sha256:b260284560569df89efd6502f1100472659a78b456842c444f63ebdf44482c47

Observation bedb2c67-3c77-495b-a59c-a8ed8ca04ce8 · inbound

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution cites this paper.

Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 30

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arxiv_id, observed 2026-05-09T05:45:21.193844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T19:36:52.668048Z digest=sha256:12befd140124313ff5e352614e21c92d8f87a56332c460e35b70574875c02365

Observation 1272cd67-3b66-4178-a621-986be9037c47 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:27.412092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T04:50:17.399580Z digest=sha256:101be0b2eefc1d14f91c47c49bbb187bd7b32900b1834faca51ef87a1aff6e98

Observation 1945cb05-8faa-4abf-b349-01a1a67971d1 · inbound

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs cites this paper.

StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:22:28.931543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T07:20:32.494840Z digest=sha256:ef3d4394770a344d230c9238e1e444a0d0a885165e3e229347e51e158a3e2c2d

Observation ccf1f667-2ef0-4652-8663-be2e5c28774b · inbound

SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals cites this paper.

SDGBiasBench: Benchmarking and Mitigating Vision--Language Models' Biases in Sustainable Development Goals Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:31:13.888041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-22T07:29:49.950084Z digest=sha256:5f59bd38019a92c71ae8bc5c4d405f6873c4d2ced3e26c9e1657e15de45fbc03

Observation 39aec917-e7cb-404a-b04c-dfcb81ad76de · inbound

Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning cites this paper.

Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T19:46:10.751256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-28T22:04:42.187726Z digest=sha256:31e24f82f9ece965137808653606c367324ec0960c8b65b78b27cbd7ba82e5f6

Observation 801f0845-2ffe-47d3-b6db-e6a453de4a79 · inbound

AgentFairBench: Do LLM Agents Discriminate When They Act? cites this paper.

AgentFairBench: Do LLM Agents Discriminate When They Act? Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:44.498974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T03:53:38.554457Z digest=sha256:47e69cc08c01103d75154ce85ca65f3de5fd87826c8de5246483040cab7c93a3

Observation 25c098ef-3220-40e2-be17-29fc9d57b2a2 · inbound

LLMs in the Real World: Evaluating "AI" in Emergency Contexts cites this paper.

LLMs in the Real World: Evaluating "AI" in Emergency Contexts Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:25.190210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-02T22:45:59.495511Z digest=sha256:263a0707989fa6d66c353a21a370075410bd4957af57f140aff3cfb4f26c4439

Observation e92ee194-9508-4146-ab45-bb87e96945ec · inbound

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations cites this paper.

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T11:25:39.430856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T11:25:39.430856Z digest=sha256:253867f7a8bdde30d5c08f5b5ac3771a8311800e4101546dc7b4fbab11936434

Observation 015ff6b6-ad7f-4488-be39-0ebe7062097e · inbound

BavGround: A Benchmark for Regional Cultural Grounding and Dialect Competence in Bavarian cites this paper.

BavGround: A Benchmark for Regional Cultural Grounding and Dialect Competence in Bavarian Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T21:12:49.846496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:12:49.846496Z digest=sha256:b4b4e84dce0c20f6f6ba348e835f62dfd1790a7e09c3f521bae30107da50f706