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Paper Citation Record · LEDGER

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan

As of 18 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2508.01274.

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

pith.paper-citation-record.v1
2508.01274 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:49:51.633826Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc5a86d8-dd3d-48ca-a4c8-8cc0eb4a778d · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Flamingo: a Visual Language Model for Few-Shot Learning

Reference 1

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source=pdf_text observed=2026-08-06T05:49:51.471076Z digest=sha256:194eb6eb6a0630950c7fe5928ff32da96d4782513d5e952c14a8918dcce162f6

Observation 7c3760e2-6b13-4238-9598-afa4c68ef494 · outbound

This paper cites PaLM 2 Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan PaLM 2 Technical Report

Reference 2

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source=pdf_text observed=2026-08-06T05:49:51.476645Z digest=sha256:25ca33a0a54901676f62ad21b208f38d847f3076d6053ab32bca74f6b0b3b49c

Observation 954b39b7-564b-4757-a8f4-c23729d4b035 · outbound

This paper cites Qwen Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen Technical Report

Reference 3

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source=pdf_text observed=2026-08-06T05:49:51.481291Z digest=sha256:c134a8017fdc4e0209008044eb3ade78677a32d76e9d92bdb91e307bd7543306

Observation 8478b6f7-e84a-480a-9064-26039c21df75 · outbound

This paper cites Qwen2.5-VL Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen2.5-VL Technical Report

Reference 4

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source=pdf_text observed=2026-08-06T05:49:51.486412Z digest=sha256:46ef797bea7fc129a82ce0900f509df6c61d927f92fff570dc501378dd945941

Observation fa26fd49-b609-4ebc-bc3f-caa9c3ce5658 · outbound

This paper cites AudioLM: a Language Modeling Approach to Audio Generation.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan AudioLM: a Language Modeling Approach to Audio Generation

Reference 5

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source=pdf_text observed=2026-08-06T05:49:51.490677Z digest=sha256:0ee3498262a7f70d8839e30e525d0a54780fff755f3727802ae357e1f5386257

Observation 464b06ab-5ea6-4f0e-9008-c258dc984a71 · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-06T05:49:51.494989Z digest=sha256:d18c7222acaf976de6d190410a212f624555adb37b0bf7014ea8d2517281e8a8

Observation 5f6d1483-0f00-4886-8580-df48b871d38b · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 7

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source=pdf_text observed=2026-08-06T05:49:51.503929Z digest=sha256:83710552c01eaf2aefc5a31173466c28c143e34ca50e40fd801530928dfb69c8

Observation 2ca8ade5-cbda-499e-9b66-a7fee0937720 · outbound

This paper cites Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Advancing the Evaluation of Traditional Chinese Language Models: Towards a Comprehensive Benchmark Suite

Reference 8

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local_arxiv, observed 2026-08-06T05:49:52.312171Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T05:49:51.507893Z digest=sha256:1450cee99055d18df336d66c05d898f832ce6ca58bb44a1d85a9d1e207de1e90

Observation 9abc9593-2302-40ae-9e90-8a2a30723b4a · outbound

This paper cites Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models

Reference 9

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local_arxiv, observed 2026-08-06T05:49:52.295911Z

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source=pdf_text observed=2026-08-06T05:49:51.511885Z digest=sha256:01e76ee3fc5db81646993d6e01e4b7118bebd44a1dadf51e7138184179eb047b

Observation 52fed0d3-eb66-4725-b249-4535076df960 · outbound

This paper cites Sparks of Large Audio Models: A Survey and Outlook.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Sparks of Large Audio Models: A Survey and Outlook

Reference 10

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source=pdf_text observed=2026-08-06T05:49:51.515683Z digest=sha256:fdcb0fd9dc4276fa86e2d03e3c432378787fffc61dc02c23eb00b00f9f2cf55d

Observation 94c8b40b-c7d3-4a27-8637-b0d0cda626e3 · outbound

This paper cites What matters when building vision-language models?.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan What matters when building vision-language models?

Reference 11

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source=pdf_text observed=2026-08-06T05:49:51.519985Z digest=sha256:c4b5cb04c2f838f3ad9bfa5da00f325788a5a09719876b34ef798156a79ce974

Observation 4443a859-1e0a-4085-b415-398d5bf08a6e · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-06T05:49:51.523705Z digest=sha256:e610cfe8cab5bd45f0b06a235dc4bec9d99c54c28692a941754980eb461aed00

Observation 9dc37bcf-276c-4b5d-8840-87b530acbf19 · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-06T05:49:51.527589Z digest=sha256:f009963749a0c9f45368f8cbd2b7a9f06af88204fa2913596d4d27b52457b0ed

Observation 0e151fc7-433a-4cbe-a98c-fea04d225d58 · outbound

This paper cites A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan A Survey of State of the Art Large Vision Language Models: Alignment, Benchmark, Evaluations and Challenges

Reference 14

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source=pdf_text observed=2026-08-06T05:49:51.532048Z digest=sha256:6f8e5678f3d149ec1188d9db000e6023721bf19ef893131ddf90d0e7e19a43ab

Observation c0061773-5485-4a23-ac3d-f3f2e8d5b07e · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-06T05:49:51.537137Z digest=sha256:00d80ed6351106d8f323f6b6ab59ac39e790d24b8f5c2ee3901e269bc4c3aaa3

Observation f850a393-35f4-4544-9e8d-3016414b342a · outbound

This paper cites Improved Baselines with Visual Instruction Tuning.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Improved Baselines with Visual Instruction Tuning

Reference 16

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source=pdf_text observed=2026-08-06T05:49:51.541245Z digest=sha256:458a2d8eb071ad060a44b60e822eb5759b5eb85fd6c0f22fef77321f1ec4cba4

Observation 2e351de5-1f16-41ee-ba07-365d0832fabb · outbound

This paper cites Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action

Reference 17

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source=pdf_text observed=2026-08-06T05:49:51.545721Z digest=sha256:89bb4671a4182bce6ce8f80cc83b91aa00af123302718f82575446e7f3ba22c4

Observation 8e47b658-d696-4523-b3dd-705168a89a24 · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-06T05:49:51.549680Z digest=sha256:4c5b8d0ca9613771695361121839bb934f9359d73ba77c4afbfbd4c4d61a5d77

Observation b60a8aef-585f-46c8-b57e-7e0c20c69c0d · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-06T05:49:51.553420Z digest=sha256:48138a016dd0b41a099d19ca4db628aab9e47bc6af22cc3d545ba34b9ead5536

Observation 781239df-d54f-4db6-a466-e88b33e7efd7 · outbound

This paper cites UI-TARS: Pioneering Automated GUI Interaction with Native Agents.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan UI-TARS: Pioneering Automated GUI Interaction with Native Agents

Reference 20

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source=pdf_text observed=2026-08-06T05:49:51.557351Z digest=sha256:bda8bb6777c1dda68d49d49d8b6cdeada3b954c14f069f48f28214006e967f5c

Observation 951980de-f011-4bca-999e-e6bf5f847499 · outbound

This paper cites Qwen2.5 Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen2.5 Technical Report

Reference 21

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source=pdf_text observed=2026-08-06T05:49:51.561890Z digest=sha256:cd89cd7b0ea0f678d16971b26539642b9062803a7e11d23a904a394e7e24183a

Observation 4156e41e-bcd0-4c2d-a4d1-341cb8b40ca1 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Learning Transferable Visual Models From Natural Language Supervision

Reference 22

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source=pdf_text observed=2026-08-06T05:49:51.565299Z digest=sha256:16b4f043213ea6fbc28f0cbce24195209830aa36fc8affa605141481b6104b10

Observation 2726712a-3e7d-4f50-8701-4b8e4e9825d3 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Robust Speech Recognition via Large-Scale Weak Supervision

Reference 23

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source=pdf_text observed=2026-08-06T05:49:51.570094Z digest=sha256:e1a6d213870b72db86e163ef5a9a22a7fe69526a31720ba4cece40cb4cee132e

Observation 512dc07b-01b1-40b9-8aec-f52d171a6f9d · outbound

This paper cites AudioPaLM: A Large Language Model That Can Speak and Listen.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan AudioPaLM: A Large Language Model That Can Speak and Listen

Reference 24

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source=pdf_text observed=2026-08-06T05:49:51.574197Z digest=sha256:5996165b327a22c4e004793d971cf9591bce14ef03f3ca3e5b3080015b55f3f9

Observation baf34838-8818-4543-9f52-90c9110f8a37 · outbound

This paper cites PaliGemma 2: A Family of Versatile VLMs for Transfer.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan PaliGemma 2: A Family of Versatile VLMs for Transfer

Reference 25

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source=pdf_text observed=2026-08-06T05:49:51.577941Z digest=sha256:0d202c9264561801d48c192c29859285bd1195b586cfeb868b48d6e07e768672

Observation 78135712-2999-478e-b7f1-745c2641a127 · outbound

This paper cites An Improved Traditional Chinese Evaluation Suite for Foundation Model.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan An Improved Traditional Chinese Evaluation Suite for Foundation Model

Reference 26

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local_arxiv, observed 2026-08-06T05:49:51.893428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T05:49:51.582399Z digest=sha256:fc94e70e2fdc9d29141ce0fd1068eb9ee37b0da83105f8a6c9aec4d2605068f8

Observation 22ba5860-1755-499a-b8e8-de9e7eb105d0 · outbound

This paper cites VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan VisTW: Benchmarking Vision-Language Models for Traditional Chinese in Taiwan

Reference 27

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local_arxiv, observed 2026-08-06T05:49:51.875346Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T05:49:51.586304Z digest=sha256:79597cd757ef9ab89ed804a51435983761a6a5f662df91630ece305896a4c72b

Observation b1c98d8c-6bf4-4c85-8212-e1339376e2aa · outbound

This paper cites Hashimoto.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Hashimoto

Reference 28

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source=pdf_text observed=2026-08-06T05:49:51.590032Z digest=sha256:e6ba4d0fa631531c523e9ff39603287fae70c8b8b06a45fab1890cb2846eba8e

Observation cfd6b74b-d94d-4395-a69f-30d8ace9b657 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan LLaMA: Open and Efficient Foundation Language Models

Reference 29

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source=pdf_text observed=2026-08-06T05:49:51.593351Z digest=sha256:539ef519615152e7cf076585e37f92aaf1f16f58a5504bc44e21a9ff5a519eec

Observation ca80e7d3-91fb-4d44-af98-966e19321006 · outbound

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

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

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source=pdf_text observed=2026-08-06T05:49:51.597318Z digest=sha256:ec2040ce379f35160bb4df438b893817aaf9401efee2e7e2d27118b552e012f4

Observation 7901e85c-568a-4313-bff0-1ac5f285c8a9 · outbound

This paper cites an unresolved cited work.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-06T05:49:51.601137Z digest=sha256:9b5e198eff10892648360dc3b8dc65dad6b1153701ce0635c2cc1e091f6f1305

Observation 9d6818eb-e463-4cf5-8a03-e44237d8a785 · outbound

This paper cites NExT-GPT: Any-to-Any Multimodal LLM.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan NExT-GPT: Any-to-Any Multimodal LLM

Reference 32

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source=pdf_text observed=2026-08-06T05:49:51.608775Z digest=sha256:4eda7d8600a966afb61facc7f7d2883f33cd88cc5bf16aa5030179179e36c2c8

Observation c471a939-5148-4b67-b08c-e653c1b02032 · outbound

This paper cites Qwen2.5-Omni Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen2.5-Omni Technical Report

Reference 33

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source=pdf_text observed=2026-08-06T05:49:51.612343Z digest=sha256:d4d8c6534bf24d5a43d963df50a0e7a879bfeabe595fdfa6b5ffa907a82aa432

Observation ad72b08f-cd06-409b-a456-7baf9d73d505 · outbound

This paper cites mT5: A massively multilingual pre-trained text-to-text transformer.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan mT5: A massively multilingual pre-trained text-to-text transformer

Reference 34

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source=pdf_text observed=2026-08-06T05:49:51.616635Z digest=sha256:eaf271b422a29dcfe355b52da7596ff5281ef65cf2d7941b46611dc6c6e9ac19

Observation 5f25729c-21ce-41dc-8e41-ff2e4d09c075 · outbound

This paper cites Qwen2 Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen2 Technical Report

Reference 35

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source=pdf_text observed=2026-08-06T05:49:51.620971Z digest=sha256:d23e708c13f43cf3f8a96462fca371551d4832b7ff1e63fef7dd0a05722c5ee6

Observation e4a42ff3-5375-46fa-859f-e25a3a93e91e · outbound

This paper cites A Survey on Multimodal Large Language Models.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan A Survey on Multimodal Large Language Models

Reference 36

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no resolver link, observed 2026-08-06T05:49:51.625753Z

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source=pdf_text observed=2026-08-06T05:49:51.625753Z digest=sha256:ba001be1f19b55c19b2c986909c2202db29a86a3863ef8c088beb4e8befc5c0a

Observation e19c2b0d-7237-4140-a787-c1e5cbbf9be9 · outbound

This paper cites AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

Reference 37

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source=pdf_text observed=2026-08-06T05:49:51.629751Z digest=sha256:7b4b3b3c7f561024988b7ce3a0efd01935eeee96d1da3897198b4f9b11f16bce

Observation 980b3d77-fb56-4d2b-95f1-4a89297c6834 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 38

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no resolver link, observed 2026-08-06T05:49:51.633826Z

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source=pdf_text observed=2026-08-06T05:49:51.633826Z digest=sha256:eccac278b37f9131b9d02719ed5a62cc99477db34c5a3077accdd40506dfa788

Observation 99981462-a7fa-4aac-9aa8-99338b81a894 · outbound

This paper cites Qwen2-Audio Technical Report.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan Qwen2-Audio Technical Report

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T05:49:51.499143Z

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source=pdf_text observed=2026-08-06T05:49:51.499143Z digest=sha256:0ca5744603b9d493e49305bebeaf1c77ce835a232d2d194d667536f1eef44672

Observation 518f67d6-ad7f-485a-9f1a-34a293fbc990 · outbound

This paper cites All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages.

Multi-TW: Benchmarking Multimodal Models on Traditional Chinese Question Answering in Taiwan All Languages Matter: Evaluating LMMs on Culturally Diverse 100 Languages

Reference 2025

Resolution
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no resolver link, observed 2026-08-06T05:49:51.605060Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:49:51.605060Z digest=sha256:1a2c0bad2ce96ffafe95bba234421cb4e9d072eb38acb6f08e6948c9bf6a1bb6

Pith citing papers

No inbound Pith citation observations are available.