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Paper Citation Record · LEDGER

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2412.07303.

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

pith.paper-citation-record.v1
2412.07303 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:01:49.312367Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 71b1eb24-ede4-4cc8-adca-9d9f5d6529ec · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2023 , pages 2209–2225, Toronto, Canada.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Findings of the Association for Computational Linguistics: ACL 2023 , pages 2209–2225, Toronto, Canada

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.609706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.257625Z digest=sha256:d2cc2e862d6ab63013945426ac0668c47a01444149b7766c028db35151f47229

Observation b0fa5d1e-4233-49b8-b12f-1e518320fa5b · outbound

This paper cites Mistral 7B.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia Mistral 7B

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T19:01:49.263369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:01:49.263369Z digest=sha256:b45e0b0040382042b6885e0f51aa2055e4506c40cf72187106e63015e88ca472

Observation 69fca562-cee0-448e-8450-cbfd254d260a · outbound

This paper cites In Proceedings of the 2020 Con- ference on Empirical Methods in Natural Language Processing (EMNLP), pages 1953–1967, Online.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Proceedings of the 2020 Con- ference on Empirical Methods in Natural Language Processing (EMNLP), pages 1953–1967, Online

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.584837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.275263Z digest=sha256:4c54bb54bd15db977b5aeffe479c64eb9baeba827f70fdf274d4b69f6a589460

Observation 3789c497-84b0-42eb-9567-5a2317dc2c6a · outbound

This paper cites GPT-4 Technical Report.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia GPT-4 Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T19:01:49.280640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:01:49.280640Z digest=sha256:31991967ff7fce4f0148a49a329fc3bc1970d54324a5ae2f61fbb6e63a64cca3

Observation fe047e1f-576b-471a-96a7-89191a02fc7c · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2086–2105, Dublin, Ireland.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2086–2105, Dublin, Ireland

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.562778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.286229Z digest=sha256:2d2364decf330cd8abacee667cb0dfad2dd19a658469bc6b831b312e1e01ed55

Observation d19b8a87-a2da-41ad-bb24-911268ab14c1 · outbound

This paper cites In Proceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2887–2896, Singapore.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Proceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2887–2896, Singapore

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.543632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.292261Z digest=sha256:b67696382bbaacc997088ea2ac81fac5f09b69bcbc06e37eb20f88a526cca8f1

Observation 5617d14b-a35d-43ba-b091-6d887cb7484e · outbound

This paper cites In Find- ings of the Association for Computational Linguistics: NAACL 2022, pages 921–932, Seattle, United States.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Find- ings of the Association for Computational Linguistics: NAACL 2022, pages 921–932, Seattle, United States

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.523902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.298775Z digest=sha256:e9dfb9445929e1a1642abae9ed8cfb77913c1c04da0ddf3d9784f1ff1f96714c

Observation ca99b171-1e5d-4c3b-8642-f6f169225bb5 · outbound

This paper cites In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , AIES ’21, page 254–265, New York, NY , USA.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society , AIES ’21, page 254–265, New York, NY , USA

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.501234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.304241Z digest=sha256:c21d8bd9081cb8f3504138e7da7c76048ad97c0df9d0b24bf9131d528901b828

Observation 4890a5ad-62e3-4f65-b617-0787cea54400 · outbound

This paper cites How do Large Language Models Handle Multilingualism?.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia How do Large Language Models Handle Multilingualism?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T19:01:49.312367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:01:49.312367Z digest=sha256:b2e4a5ca986202274fae7459cbeeba83eaff1a2a3e2cbb5fea498bbc19f98084

Observation 302a426d-cb00-4e1a-988a-49eff90dd52e · outbound

This paper cites In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 3356–3369, Online.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 3356–3369, Online

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.633455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.251575Z digest=sha256:1dc00952464024508ef931782d18cbd0af7285e3d3a90fc52771d962c38d26a4

Observation 24ad0530-c3b6-4f76-a783-d706abcb0a44 · outbound

This paper cites In Proceedings of the 2021 ACM Conference on Fair- ness, Accountability, and Transparency, FAccT ’21, page 862–872, New York, NY , USA.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Proceedings of the 2021 ACM Conference on Fair- ness, Accountability, and Transparency, FAccT ’21, page 862–872, New York, NY , USA

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.682981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.238589Z digest=sha256:105f8245cf7cdf49f87614b51ef46986d1cfebb5e4a6e0930d6551a040bc6bfe

Observation 56e65021-9bbc-4db7-8810-635bd03de29e · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T19:01:49.231116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:01:49.231116Z digest=sha256:f70f66c7c09a3dca99047169fe1c5d6e34719f20d942175e6157b9ea62cc142c

Observation 9926f209-d588-446f-ab06-01662f71bc20 · outbound

This paper cites In Proceedings of the 61st An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9126– 9140, Toronto, Canada.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia In Proceedings of the 61st An- nual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 9126– 9140, Toronto, Canada

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T19:01:49.659675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.244187Z digest=sha256:29690187aa9bfbf66a7c3f3785baa85e47847b3992c724ae4eea7a269cdf0d8e

Observation d8729d26-c33e-4873-a977-ed91e9ef3fc2 · outbound

This paper cites Compass: Large Multilingual Language Model for South-east Asia.

Filipino Benchmarks for Measuring Sexist and Homophobic Bias in Multilingual Language Models from Southeast Asia Compass: Large Multilingual Language Model for South-east Asia

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T19:01:49.428459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T19:01:49.269083Z digest=sha256:45c5fd53db0d14b8f252492a2efd4b94c1b42a011ccc4e980175394268c7bc51

Pith citing papers

No inbound Pith citation observations are available.