Paper Citation Record · LEDGER

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino

As of 7 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2509.06065.

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

pith.paper-citation-record.v1
2509.06065 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T04:34:15.067301Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

17 of 17 outbound references displayed

verified exact3
verified fuzzy8
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8e020b3f-7e2e-47a8-952e-23460ec651e1 · outbound

This paper cites https: //www.nature.com/articles/s41598-025-98483-1.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino https: //www.nature.com/articles/s41598-025-98483-1

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:18.841396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f534799-7d9b-46a3-95d5-bef04b4c8bb4 · outbound

This paper cites https: //www.nature.com/articles/s41586-024-07421-0.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino https: //www.nature.com/articles/s41586-024-07421-0

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:18.588446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dafac304-5e89-4c1a-9351-af85aa11d3d9 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:13.022585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf25dc17-5198-4b90-b25b-829dbeb7f572 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:13.134166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c3f8478-e4fd-4e1d-94ef-9fed3d631d1e · outbound

This paper cites LessWrong(2025).

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino LessWrong(2025)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:18.362908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2147dc05-b97f-4c0e-81dd-e56cbe30ccca · outbound

This paper cites Association for Computational Lin- guistics.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino Association for Computational Lin- guistics

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:18.046645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 825e1b1d-0ad7-46b3-beb4-8e42c1f0fc07 · outbound

This paper cites https://commoncrawl.github.io/ cc-crawl-statistics/plots/languages.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino https://commoncrawl.github.io/ cc-crawl-statistics/plots/languages

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:17.807059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24652b06-c21f-4849-90b4-1714d52eaafb · outbound

This paper cites The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:13.772914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf1059f-d29b-4368-a078-23d820ce234d · outbound

This paper cites Batayan: A Filipino NLP benchmark for evaluating Large Language Models.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino Batayan: A Filipino NLP benchmark for evaluating Large Language Models

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:34:16.604534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1faeaab-6ade-41b5-a9b0-b8dea4f463da · outbound

This paper cites arXiv preprint arXiv:2502.09387(2025).

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino arXiv preprint arXiv:2502.09387(2025)

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-08-05T04:34:16.261035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9fcf1110-bd84-44fe-b5c5-32254e182b10 · outbound

This paper cites Association for Computational Linguistics.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino Association for Computational Linguistics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:17.537765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a749506c-f4c3-4ce3-9133-c92e07c54505 · outbound

This paper cites Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino Uhura: A Benchmark for Evaluating Scientific Question Answering and Truthfulness in Low-Resource African Languages

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-05T04:34:15.667230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 084fcc2b-b44b-4dbe-8a23-7e57192efd35 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:14.429081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d49f8eb6-9f6f-4365-bc30-3c8d113fcae8 · outbound

This paper cites S.: Chapter 5: Tests for Paired Nominal Data.R Companion Hand- book(2025).

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino S.: Chapter 5: Tests for Paired Nominal Data.R Companion Hand- book(2025)

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:17.292638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1fe44ee8-4816-4c0e-9982-b222143ee92b · outbound

This paper cites FilBench: Can LLMs Understand and Generate Filipino?.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino FilBench: Can LLMs Understand and Generate Filipino?

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T04:34:15.338813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3536f4d6-026f-4973-843e-3bcd961e2bf7 · outbound

This paper cites XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T04:34:14.946810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1cd925b-b8aa-46e4-85e9-6b87305d7a85 · outbound

This paper cites https://openai.com/ index/introducing-gpt-5/.

KatotohananQA: Evaluating Truthfulness of Large Language Models in Filipino https://openai.com/ index/introducing-gpt-5/

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T04:34:16.953587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.