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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:24.035347Z digest=sha256:d3332f30f53123e70286144ebbd0d09cd95f19c01bda26c6ef78d24383752594

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:24.073567Z digest=sha256:6a6504493ce5479aebdd9976047a456ab9047d9dfff38c9cd4bae9bdc0d028fb

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=sha256:636428f6356726c1eadd71d72480523480a71e052f4d5ed8a036895c979ddfa5

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=sha256:545cd84fdadbfb9a2475bde549b8671a80aa19975d180a0ed3ab528357cac864

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:24.249834Z digest=sha256:b05c2972d1cb14ffc2bafcbf423f24c6e4c4c6749a7b70a4b48e1676bc144110

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=sha256:001c93eaae9ff6e37feb4af80e606e73f3419218f7cc0cc63bed481fd3b275a3

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=sha256:30e5fc822088cce2e5fcc6d65f2fe1f89fde2fc790d30d003ee05a58ac821e82

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:24.504097Z digest=sha256:f01500891ad8bbe1101d32f6cf188dd6f55985f50f5ba65f524e38405383fbde

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:24.560026Z digest=sha256:3c1aea603301d884367864b0139f9d934f4705b1d2a8849c19b8b05cf9f4a496

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=sha256:2a63369868b17396dd79274d35bd2d7b63eb65c6509440ebdb111b74d540a8dc

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=sha256:55377f0cbf9a1c61e46417610236bada8e596656f368828060ff2dd852cc0c4a

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=sha256:97a07905f01bf88896f92527b2e78d5984eca968dde03629b05c02b823ee291a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:24.884373Z digest=sha256:141e25a79b606d0f18e7dc09527d948e79526861e539ff4f368dcb4298a006f5

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:e0fba8b37fd9e3da33378afdd90d00f4afa27dfbfac8b5ea58ed9f6bf5ea3f3e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:25.017384Z digest=sha256:4e9311e4d3ade0c2384527cc7d2c87becaef5c5787f25ff8aa81458bd88ab5e7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:25.102454Z digest=sha256:38d43b8e7be8afa8224ffa198f3e6bf493c38e910cc4b6bad937b1027161d4a2

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=sha256:997e57bee0e5d7d2bf4a709e475948bdbbbc92f4b3fd6e4ea90a8e6051449c76

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=sha256:3eb17c9a919adbb2e97588595aa5e4a1adbb1e4535c916ea4b6f17778ae0643f

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=sha256:91a931442be7548d565ba9516fad1cc3fd854824002219c3bd38377a5b6704a3

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=sha256:8babae8fda683b64bd52d3ee4815a8ec642a5b8acb3a181745438e43c9996078

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:25.439456Z digest=sha256:28f6e5b011c152a6c6a2c48700aa6aae7678dfc7a1f7579ccea374474bc34618

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=sha256:295750463741240d1c444c25f5722cd3527b2f81593ac6e28a458316d17fd857

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=sha256:74f9d8ce4c7524ef63f348553482e1b2d6a3217abc651b6c11ff45cdafa6a223

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:ee4f7215bdb89a49ecea5f7eee4a16ca24afb0a15415af54db43e03f109da9e7

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=sha256:66ae53cf945aaa15cacada49b83ade996635359114f6ca469db9850877256fb0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:25.769781Z digest=sha256:d9204db3b955358055caec4ff8462a5a64292518fbdc598e336e76328854cbdd

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:cae31ae6e2cf90d999d5ef8c525b1b66c701a54cc6bc9eaa0433d36f18500dc5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:25.902478Z digest=sha256:fd74de1079a585448a453fcae9a96cea906ecae18b0c5ab1be057ff9feadfd58

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=sha256:5ce8f7d73f06100e45d388fa23a66e5e0c36a57b90dc1b8b51dcc4980224b8c9

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=sha256:9917805fd83a67aef7744687e66da022599ded510ce11db9777fc0e229119e92

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:26.092679Z digest=sha256:470bd118c374182d9abfe09299c9ae30aa0e9a38672ff572baa6cee51f3b91ab

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:26.133533Z digest=sha256:789cc3450c167ef350e2834d480b6c3e0a60494b33f237e9dc7c6c2ebf0b826a

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

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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:fff86263cc46ee199e9b0d2689d1dfa8021b7fb54b43c3311529ffe2850d0274

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:a6b60a617a6a27c08461dfc127fd129165b1e23c0ff76e6529e0c5e0d650dc98

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:ab002b2b9cba461bdd0a509a55afd55de0329c467b293c44d8a60aa186568dd1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T14:32:26.295317Z digest=sha256:47baee85426929869815bb812a8e7d60bf19f8eed5faa97cc5ff76d8c061a6d7

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T14:07:13.510875Z digest=sha256:926ab37a4644a8edb9ab1cd54d13e05d5ad17e2cbf67e7f66adf6aa28b355063