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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=sha256:416bb2696a837e7e0ce335cca7f51502be332fcc1756b6dfb329d5f2b42e1f60

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:b2ec1a83eec034a4a8c64f21ef50d9c5297d1aa6b1f8a1813790e42d9dea42ee

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:d0ce96f2d0845f445cd62da6ac3bdf5d34e8353ae402371cb7a2be83669eb14f

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:c007efe0c01e35f441032e452dd659ab30bed40e6c776fd3d8755da1de892446

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=sha256:5cd41ab3021cfca9235c82f5b59535ca56b4366438801b5fa0f44282dfe0ab12

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:e084e5ecd5c613a3ae462d73b2f7b6542c2e93d0eb575accbe260f91d25f0421

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=sha256:5208aae1481248e465cc47c178b6006f33f603039a046e89c9528df6009b867a

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:c2c098b6757895b698a2f5f3f88db1d57fab0e400144b24018ca1c36aae68aa8

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:b6cb79b4b4420be2268ae4a1cc1e2340633791fedf4500471e10eaa578f6bc55

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=sha256:0c501ace415178fd6c6e476673f28c39ebb5ec8b90f5941e89d04691845b1b0b

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=sha256:6eae3b9cfbe0fc77b82410a5a074cb4d4bd55e20a8553c9a5480519bd11ac295

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=sha256:7d0134ebacc9e452372b9ab46fdccd9fdcfba0492999b1a59e453a28d123f988

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:e095768f29ec350f3f5b999c1931b0a6330a6f6ec675511b10d711ac0863e508

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=sha256:9d7099f82ad24c5839ff02f7e8be2e407f4fd4e776c91b697d746a16285708f9

Pith citing papers

No inbound Pith citation observations are available.