Pith. sign in

Paper Citation Record · LEDGER

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2505.18638.

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

pith.paper-citation-record.v1
2505.18638 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:26.295317Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T14:07:13.510875Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 75020aad-cc5e-4c3b-bdc4-1c8da24550ff · outbound

This paper cites Harnessing ai so that all students benefit: A nonprofit approach for equal access, 2023.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Harnessing ai so that all students benefit: A nonprofit approach for equal access, 2023

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:28.747900Z

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.

source=arxiv_source observed=2026-08-07T14:32:24.035347Z digest=sha256:a68bae16540492a778a94d8daa2376c8872b697d3b7a3be25bb3b462cba9f31a

Observation eb0fea22-d465-4ee9-8ed1-72e056975499 · outbound

This paper cites Do all languages cost the same? tokenization in the era of commercial language models.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Do all languages cost the same? tokenization in the era of commercial language models

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:28.582097Z

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.

source=arxiv_source observed=2026-08-07T14:32:24.073567Z digest=sha256:394933be22e9bd59584095280b7da352debf76159e5bbfe1e008b7cc04c3d116

Observation bf544599-59b6-472d-a8d9-a0055c058ed3 · outbound

This paper cites MEGA: Multilingual Evaluation of Generative AI.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models MEGA: Multilingual Evaluation of Generative AI

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.159269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.159269Z digest=sha256:b9cc1ba338177e85cae5a41900751b41131cb2003b8ae8bd4e29e914130ce57b

Observation 865755a3-84d1-454d-9658-bdc7f676564f · outbound

This paper cites A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.214109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.214109Z digest=sha256:9e9a85bafbcd1698d58933b3c6db15163b65bf04d2dc20ba2b1766afb07cab1e

Observation 3b641315-eaa8-4256-b95a-71a8822ff998 · outbound

This paper cites Choi, Kristin E.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Choi, Kristin E

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:28.460121Z

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.

source=arxiv_source observed=2026-08-07T14:32:24.249834Z digest=sha256:a1146024541914f31c85b69ae5468b7ef96ea87e19239b41305fbcd0df447ec9

Observation fe2d0f14-af9e-4054-8cbb-cff8b0780d9e · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.369875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.369875Z digest=sha256:7c17ae5b99c37f72e018d9d9fc0fdb3e51115cc7301db37c360a17ab6d71fc92

Observation 0f4e458e-54c6-4a6f-8475-332339c31e0b · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Training Verifiers to Solve Math Word Problems

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.412640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.412640Z digest=sha256:5aae9e840b5cd33f81264a79f1b2132765081e259d3e5c25f43f6795606386f0

Observation abbe8a22-dba5-49b4-b3a7-31f394d55fee · outbound

This paper cites Khapra, Anoop Kunchukuttan, and Pratyush Kumar.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Khapra, Anoop Kunchukuttan, and Pratyush Kumar

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:28.269855Z

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.

source=arxiv_source observed=2026-08-07T14:32:24.504097Z digest=sha256:761b77979c238e9566a4ad70b84ec49c911c0256d0f0cf80d1b258c0dfd452d7

Observation 6c2892bf-5853-43e4-afdd-e06466b9e0e0 · outbound

This paper cites Recipe: How to integrate chatgpt into efl writing education.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Recipe: How to integrate chatgpt into efl writing education

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:28.098690Z

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.

source=arxiv_source observed=2026-08-07T14:32:24.560026Z digest=sha256:e53c47a0b0480dabe01f759b699a4ca60d1334ff2a4e06daebdcf6eae2e53485

Observation 2917f645-e516-4d8b-a33c-acdcf624278d · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Measuring Massive Multitask Language Understanding

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.630006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.630006Z digest=sha256:8fba9665b6bdda45caa95b3b2a239aa1acf4e4a9809909758e4ff75c2fc98619

Observation 1fb24afd-f37a-4490-a26d-f7d308131d68 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.721558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.721558Z digest=sha256:c622d153afe6e26048cf66f83453d86c9adb8fa40e9600d0b903e947935a9b4a

Observation 4a6c5eee-0b78-43ef-84c6-0c861db58f9b · outbound

This paper cites Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.812627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.812627Z digest=sha256:a90b0fc9e7ead2e4cd1a62abdb9b0d86a832992fcda6441c5b83ec7dbe51a58f

Observation 08a82645-bbe8-4d32-8ee0-65cb4e9ac95d · outbound

This paper cites Cosmos qa: Machine reading comprehension with contextual commonsense reasoning.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Cosmos qa: Machine reading comprehension with contextual commonsense reasoning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:27.913293Z

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.

source=arxiv_source observed=2026-08-07T14:32:24.884373Z digest=sha256:ccb7ba2c8c6e417599e0a530623dec36a7f2ba29ea0bcebc3e4654e0dc62a87b

Observation e11e79bf-6c36-417a-8724-7027aeea907b · outbound

This paper cites Mistral 7B.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Mistral 7B

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:24.949854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:24.949854Z digest=sha256:60ad51f2233d475bbb45487484a401dd86bd04335133e9bd18de358da771c99d

Observation 0465803a-f0a8-4565-bc4a-c9d369bcaff2 · outbound

This paper cites Large language models only pass primary school exams in indonesia: A comprehensive test on indommlu.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Large language models only pass primary school exams in indonesia: A comprehensive test on indommlu

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:27.713397Z

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.

source=arxiv_source observed=2026-08-07T14:32:25.017384Z digest=sha256:3f22b8a81770a73dbf22e6522e19fc9491600a240cece68fbbfde542275c3154

Observation 8af6fddb-9cfb-4f1f-a3c8-9dae60871386 · outbound

This paper cites Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Kung, Morgan Cheatham, Arielle Medenilla, Czarina Sillos, Lorie De Leon, Camille Elepaño, Maria Madriaga, Rimel Aggabao, Giezel Diaz-Candido, James Maningo, et al

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:27.538398Z

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.

source=arxiv_source observed=2026-08-07T14:32:25.102454Z digest=sha256:f1d932f5aabbca03e7b76ffbac293617d76f39a03b48ff4c1dfc92cb36459e4a

Observation 8f01a317-4de8-4848-b51b-806904ec35e3 · outbound

This paper cites ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.168736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.168736Z digest=sha256:61f3c54ca9b7f140a9f4a52da8b94b61169b0ed8e1deb2a21cd46015ad6c6360

Observation 111969fe-0c94-429d-8c13-d85f6ef0b928 · outbound

This paper cites Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.222986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.222986Z digest=sha256:7519af5cf6fa6b4b22a53333c81df400a3d66d9c6b6866124beef6809afe3097

Observation 5745ca47-cf86-4b5d-af5f-2e78fc112947 · outbound

This paper cites Gpt-4 technical report, 2023.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Gpt-4 technical report, 2023

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.322430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.322430Z digest=sha256:c2f3c52577570eb63168316fbee7eacde7276ed9bb701f3718dd0de62c110ba4

Observation 5493db6b-1d07-41e4-a038-85a36e15f45b · outbound

This paper cites Language Model Tokenizers Introduce Unfairness Between Languages.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Language Model Tokenizers Introduce Unfairness Between Languages

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.383880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.383880Z digest=sha256:1e43e9655a15a2ca63d06c2358ab2beaf2ebf0b7b47a032abd55036268f447ea

Observation e777ea7e-ef29-481b-b8ab-798147360111 · outbound

This paper cites Xcopa: A multilingual dataset for causal commonsense reasoning.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Xcopa: A multilingual dataset for causal commonsense reasoning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:27.346885Z

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.

source=arxiv_source observed=2026-08-07T14:32:25.439456Z digest=sha256:06763188b399cc52e180c3b092bdd5c653159038d2093469db173257b6a3d780

Observation e65ce059-216d-435f-b1ff-24f3d3bb472f · outbound

This paper cites an unresolved cited work.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.500627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.500627Z digest=sha256:7c85c1f1dbc46ab10092df10edd87c600a2613f433a7e1683bc205ebf24ed852

Observation 50736371-06ef-4050-8feb-24d09b791fb1 · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Language Models are Multilingual Chain-of-Thought Reasoners

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.586119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.586119Z digest=sha256:61434d0fd092d9466fc576a7f22a7a3e004dab881f741d2d3ba5bfb145543bc1

Observation 99d99831-40f7-41f2-975b-1880468d360a · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.653410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.653410Z digest=sha256:53fe7c9725439271304ec6224c4aa719ff1a61ba5bd943bc23e6ad43a4f9b95a

Observation 20d21bdb-02a5-4373-9578-c1a36f23b6f8 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.717428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.717428Z digest=sha256:5dd47df503ef82f8f33dc92b64ae15168370a8d4e81078ddfb898683648b0e82

Observation 308847b9-ff2f-45b8-8759-3ca51306f94a · outbound

This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:27.133188Z

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.

source=arxiv_source observed=2026-08-07T14:32:25.769781Z digest=sha256:64a32ca60e35a08769efecc9649c144e7dcb3ec4e77b368a1b43134229a87926

Observation de7b2cdd-2fb4-42df-8765-d40ccdfe1894 · outbound

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

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.842066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.842066Z digest=sha256:641757f42e5eb5f52615e3e5501698d53cbf19cb180ec8f2fa29b39100f34c0b

Observation 17beb033-25f5-4ca7-a3d7-24426dc89869 · outbound

This paper cites Aya model: An instruction finetuned open-access multilingual language model.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Aya model: An instruction finetuned open-access multilingual language model

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:26.949745Z

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.

source=arxiv_source observed=2026-08-07T14:32:25.902478Z digest=sha256:e45dc2d8a1f9e392b5078fd93db0129e5fb59026adbbdfd8b146a8298fdf16b0

Observation cc506b17-e94b-4c31-9985-5a25b52b72fa · outbound

This paper cites Emergent Abilities of Large Language Models.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Emergent Abilities of Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:25.943681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:25.943681Z digest=sha256:3e5df19379494665a9515ce08302d7b4b2611441cc7b7df12c458be98a99aa5a

Observation 7b3fa004-eeb5-458c-83c4-41a36d32627b · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Chain-of-thought prompting elicits reasoning in large language models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:26.011846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:26.011846Z digest=sha256:e6d16b3a78a57c978913a6a6995edc6e342459bfa415fde4a400bb1af0511b2d

Observation d1779f70-2a8c-4a66-8767-63b0faab8c72 · outbound

This paper cites Languages by total number of speakers, 2023.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Languages by total number of speakers, 2023

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:26.823092Z

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.

source=arxiv_source observed=2026-08-07T14:32:26.092679Z digest=sha256:665b555a529c2aa4502c60d79814ae9f341416d1a8d04b3bc530310009c5dc7c

Observation aaccbdac-413d-4166-a84a-53163ad27a4a · outbound

This paper cites an unresolved cited work.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:32:26.679731Z

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.

source=arxiv_source observed=2026-08-07T14:32:26.133533Z digest=sha256:b747b47ccab53cbf9ad3d2bc987ba28fcc8f987e367b84a0404559b8416a59ad

Observation 3b58cdf8-8c4a-4adc-bf38-0fb46b250393 · outbound

This paper cites write newline.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models write newline

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:26.173378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:26.173378Z digest=sha256:38a1f969ba8ede7d97a47913772c5a7094a4e07d4ff42344ae51b80b36febb2c

Observation 7bbff625-bac9-4b8e-885b-4f4db4d61dae · outbound

This paper cites @esa (Ref.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models @esa (Ref

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:26.216187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:26.216187Z digest=sha256:fd4aac6da696b13be7ad78b6b6df49c344b8c377c16e5e1f74150b128119fcda

Observation d19b519f-93f0-448d-a135-32673bd4be92 · outbound

This paper cites an unresolved cited work.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T14:32:26.254343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:32:26.254343Z digest=sha256:e454f0393de1794917aa431458ce2bbfec0e787356aca711f9da5d64608bde36

Observation 40765851-f553-474f-9464-ef39321029f6 · outbound

This paper cites X@HQ " H ٝyH f Ac ΁;ޝ SN4 ! B !q޽ b6g ! B gggO޼ygpi ǎ c 9r ,! B !]6 ;vf͚t¥i̛7_ ! Bl#R ! Bd B !.

Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models X@HQ " H ٝyH f Ac ΁;ޝ SN4 ! B !q޽ b6g ! B gggO޼ygpi ǎ c 9r ,! B !]6 ;vf͚t¥i̛7_ ! Bl#R ! Bd B !

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:32:26.589841Z

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.

source=arxiv_source observed=2026-08-07T14:32:26.295317Z digest=sha256:ca6bec8d3a4266123c3bd1e49594e0924a8d7bdf958dee27e4ba0e069ddb49ed

Pith citing papers

Observation d3e20404-27d2-46ca-a42a-1598cb2e9def · inbound

Pattern Recognition Tasks with Personalized Federated Learning cites this paper.

Pattern Recognition Tasks with Personalized Federated Learning Multilingual Question Answering in Low-Resource Settings: A Dzongkha-English Benchmark for Foundation Models

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:29.754472Z

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.

source=pdf_text observed=2026-06-29T14:07:13.510875Z digest=sha256:12c6aff2f68b8f7a3555c076d5ef9d4994052ab5ec957f4fcc75f411ac064e7b