Paper Citation Record · LEDGER

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws

As of 23 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2412.11414.

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

pith.paper-citation-record.v1
2412.11414 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:02:33.362408Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:06:12.594872Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T13:06:13.929163Z

Reference resolution

36 of 36 outbound references displayed

verified exact1
verified fuzzy0
unresolved35
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1010e54-5894-4ef4-9fd3-0b84c4f8e440 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.175600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 152e8668-a9f0-4c8d-bc7e-3c0bece228b9 · outbound

This paper cites Language Models are Few-Shot Learners.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Language Models are Few-Shot Learners

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.181079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98468e61-7697-4dd3-a345-4863660fb994 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.186940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c00b466-eced-4802-822d-9135758df796 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.192239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e7b37d-073b-4f93-b286-7d73d84a736d · outbound

This paper cites The Capacity for Moral Self-Correction in Large Language Models.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws The Capacity for Moral Self-Correction in Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.198617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e542c312-99d0-45aa-b277-766aac16169c · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.204689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed84199f-db55-4feb-a643-419a7bda3ebb · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.211173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f85825f2-0d94-4717-b9a1-296df7ea6f68 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.216328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac6cdef-eaa7-4ce8-8059-00732bc297e4 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.221557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c689a983-788f-45fe-b6d0-328a2184ff19 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.226740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f72e36b0-a886-405b-88b2-a9371e234bb3 · outbound

This paper cites Mistral 7B.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Mistral 7B

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.232714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87c2c973-e3c1-420c-b52f-ff0e97d5606c · outbound

This paper cites Mixtral of Experts.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Mixtral of Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.238891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2489d4-16ca-43f4-887a-d3b141feba41 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.244698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c8088e5-d2e3-49fa-a0d2-97718d67032e · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-11T15:02:33.484946Z

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.

Observation 1292f11c-bce4-4e71-a382-2b50c4d18c8f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Adam: A Method for Stochastic Optimization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.254319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f8c4ce8-bd46-455b-b93b-5700c83e709a · outbound

This paper cites Holistic Evaluation of Language Models.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Holistic Evaluation of Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.258973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bbfed0a-2e42-43c4-949b-6d320d153a4e · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.263749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d1336ca-d6ce-4df1-a208-d7d136244c07 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.267974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07433049-7122-4293-9cf3-4441fad753c0 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.272184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35c0eba-e39c-4369-9eb5-ca791270e8f4 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:02:33.920957Z

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.

Observation 6eb9e8f8-cce0-48d6-ab9c-dbe1c52239c3 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.281373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 830b24ee-01d4-434b-be6b-776de4574b51 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.286255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c30c625b-5b44-4626-9d6b-b6d16baede4a · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.291495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e29d0c-34ed-4284-b1a8-34eae0be578b · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.296596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d6a9bf-57f4-48e9-bf0c-99904962f0a9 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.301960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 732d64b5-7925-4da7-8431-bb45d24d5d3c · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:02:33.863844Z

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.

Observation bb4c3f9e-65b7-40eb-b648-fb73354bc17f · outbound

This paper cites Prompting GPT-3 To Be Reliable.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Prompting GPT-3 To Be Reliable

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.311353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4cc006-b55e-4277-b792-771efe5ba9c9 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.317164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36faa5ab-bbc4-438b-a62c-6490ad959afb · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.322179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d572eea-80f3-41c9-bbbc-9d55ac6a8b19 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.327593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29f4f237-85f0-42cc-931d-97bf4fc66e35 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.332513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69f04ac5-6677-45c4-a1f1-82027d1c9ea2 · outbound

This paper cites an unresolved cited work.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.338047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3db3ad-0c7e-4f15-80a8-266b02d3ce20 · outbound

This paper cites Measuring and Reducing Gendered Correlations in Pre-trained Models.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Measuring and Reducing Gendered Correlations in Pre-trained Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.343291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f61da4d-c09b-4abd-b66e-9b522014c89c · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws Finetuned Language Models Are Zero-Shot Learners

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.350351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f77a88a-83ff-44dc-8816-1ca77c2cfc9e · outbound

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Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws URL: " 'urlintro :=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.356276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a933ebd1-b328-45ea-9ea5-d9a710995668 · outbound

This paper cites write newline.

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws write newline

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T15:02:33.362408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 8b35a536-c347-48da-bd27-4be22b8560d2 · inbound

Who Gets Left Behind? Auditing Disability Inclusivity in Large Language Models cites this paper.

Who Gets Left Behind? Auditing Disability Inclusivity in Large Language Models Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T13:06:14.018913Z

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.