Paper Citation Record · LEDGER

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.03324.

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

pith.paper-citation-record.v1
2501.03324 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:55:51.531714Z

measured 20 of 20 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

20 of 20 outbound references displayed

verified exact3
verified fuzzy3
unresolved13
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8078a586-dcc5-4502-8d47-fe9d186e965c · outbound

This paper cites Identifying biases in legal data: An algorithmic fairness perspective.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Identifying biases in legal data: An algorithmic fairness perspective

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:55:51.784173Z

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.

Observation d3251dfa-ca3d-4109-9054-ada60248655c · outbound

This paper cites an unresolved cited work.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:55:51.857535Z

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.

Observation 8865391c-5b2f-464f-b527-90ad14b9baa0 · outbound

This paper cites Bhowmick, P.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Bhowmick, P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.465719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c3017c5-81d3-4bae-937c-3171da1c9084 · outbound

This paper cites Bolukbasi, K.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Bolukbasi, K

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:51.846359Z

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.

Observation 64c0c955-b1c6-43b5-a49a-e2a113cbcbb2 · outbound

This paper cites Semantics derived automatically from language corpora contain human-like biases.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Semantics derived automatically from language corpora contain human-like biases

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.474085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224dd3fc-7bb4-469d-b028-a0eaff725174 · outbound

This paper cites Gonen, Y.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Gonen, Y

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.478241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e094a1be-27c6-44eb-b02e-3703b7bc4b36 · outbound

This paper cites Sevim, F.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Sevim, F

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.482237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98524489-8622-4806-b0f0-a8fb8234484e · outbound

This paper cites Gumusel, V.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Gumusel, V

Reference 8

Resolution: verified exact; doi, observed 2026-08-10T21:55:51.629728Z

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.

Observation aa82f83f-b352-4c30-9e62-b230b9513028 · outbound

This paper cites an unresolved cited work.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:55:51.828188Z

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.

Observation e090f0d4-a22a-4b24-9b08-d1470cd71973 · outbound

This paper cites Rudinger, J.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Rudinger, J

Reference 10

Resolution: malformed identifier; no resolver link, observed 2026-08-10T21:55:51.494151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96eed7a2-fb7c-43e0-b5b0-c88024df9b7b · outbound

This paper cites Dinan, A.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Dinan, A

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.498061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df14c1e9-44c5-443d-99b7-45c5cd1ae4ba · outbound

This paper cites an unresolved cited work.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.501848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4bdd59-1b15-48e6-96c6-f2c04bf626e8 · outbound

This paper cites an unresolved cited work.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.506041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eebb105e-35fa-4629-9ec3-97b8dad4f5ed · outbound

This paper cites Wehnert, V.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Wehnert, V

Reference 14

Resolution: verified exact; doi, observed 2026-08-10T21:55:51.588246Z

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.

Observation e76da965-ec9e-42bc-a126-6a6f85483e4b · outbound

This paper cites an unresolved cited work.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.513775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation add0aa15-4923-490c-9e98-558b9ea551fe · outbound

This paper cites Nadeem, A.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Nadeem, A

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.517242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91726002-b0f4-4745-9e97-ccfbccd4d479 · outbound

This paper cites i’m sorry to hear that.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training i’m sorry to hear that

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.521082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcc4a559-9a53-4209-89d5-d319f79b8724 · outbound

This paper cites Wehnert, D.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Wehnert, D

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:51.808891Z

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.

Observation 55352414-301d-444c-aef0-0e593ba4ad94 · outbound

This paper cites Niklaus, I.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training Niklaus, I

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:55:51.796762Z

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.

Observation 0a0cf9f3-703e-43c5-8926-ef4f03f78eaa · outbound

This paper cites MultiLegalPile: A 689GB Multilingual Legal Corpus.

Analyzing Bias in Swiss Federal Supreme Court Judgments Using Facebook's Holistic Bias Dataset: Implications for Language Model Training MultiLegalPile: A 689GB Multilingual Legal Corpus

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:55:51.531714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.