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Paper Citation Record · LEDGER

Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1911.03064.

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

pith.paper-citation-record.v1
1911.03064 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:14:19.810578Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:00:47.864301Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 065e94ec-cb0a-4327-bf2a-f9398264c1fb · inbound

Language Models are Few-Shot Learners cites this paper.

Language Models are Few-Shot Learners Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T12:05:38.225898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T12:05:38.045330Z digest=sha256:04b096e189ebf364a9ffc38b4396f03ea9d58b11872840cf6deb32b8fbb5525b

Observation 9f8abc2b-ab16-41c0-8c29-8e66e7ef894e · inbound

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

Ethical and social risks of harm from Language Models Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 120

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:24:30.126629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-11T18:24:28.835688Z digest=sha256:194eadaaa57e4bacf990828ceb4d4edcabef224cac9f1da8baee5e869dea25cb

Observation 97821cb3-e1e0-47f9-a9b7-3a3469659a34 · inbound

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases cites this paper.

LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:56:29.746666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:56:29.746666Z digest=sha256:6344cd57fa1c664a598df775d540143bd9e3aff99923da1f266bb8a1c52b6556

Observation bc22ed62-7845-4a89-af94-a56a1034eae2 · inbound

Unmasking Conversational Bias in AI Multiagent Systems cites this paper.

Unmasking Conversational Bias in AI Multiagent Systems Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:18:21.906542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:18:21.906542Z digest=sha256:9928b865bf9bc2fd8e14267ea61e938b25b769986887a70fdf9cc7e6b0856dbb

Observation 47d6ab6d-c5ef-4875-936a-0de3aea33eb8 · inbound

Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges cites this paper.

Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-09T00:30:14.363576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:30:14.363576Z digest=sha256:271d00f613770bd7e01d63d88bc800e62a08d2c4b1aa0e0a98a56d3566f7f6f4

Observation 9288de9f-697d-41e5-8006-36910969edb9 · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T15:12:21.086207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:12:21.086207Z digest=sha256:9bf129e3a152810233e05dd5fe200fe9c0b8ff6552cee3116d7a9e8a090ceeea

Observation a5f6f840-7d9d-4c91-9c2b-e5589bf9f200 · inbound

Are Bias Evaluation Methods Biased ? cites this paper.

Are Bias Evaluation Methods Biased ? Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T19:14:19.810578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:14:19.810578Z digest=sha256:9a9ac8b98ef5f3b1780e5f14dc38ace5763c75f2700b02da2fd05aacdc6ba542

Observation 4e9b73bd-9330-4e3e-8d3f-7491c4610a66 · inbound

Measuring Stereotype and Deviation Biases in Large Language Models cites this paper.

Measuring Stereotype and Deviation Biases in Large Language Models Reducing Sentiment Bias in Language Models via Counterfactual Evaluation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-22T00:00:47.866176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T23:57:16.883657Z digest=sha256:2e13fcb199ab47449c0fc09c973bb2f88eb4ca0294511f141e170784f0b47db2