Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-13T05:47:27.775529Z
Paper Citation Record · LEDGER
Yi: Open Foundation Models by 01.AI
As of 23 August 2026, this Paper Citation Record lists 95 of 95 outbound references and 100 inbound Pith citation observations for arXiv:2403.04652.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T21:15:47.637213Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
95 of 95 outbound references displayed
- verified exact43
- verified fuzzy45
- unresolved1
- parse uncertain0
- malformed identifier2
- metadata mismatch4
External citation measurements
44
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation a0dbb8a0-7829-4616-bebe-a69e76fbf962 · outbound
This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.
Yi: Open Foundation Models by 01.AI GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.805102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9d83c2a6-7219-4eb8-a64e-7bf6f82e587c · outbound
This paper cites Program Synthesis with Large Language Models.
Yi: Open Foundation Models by 01.AI Program Synthesis with Large Language Models
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.808612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 79617f2a-c5d8-41ba-b257-c4f9d3165087 · outbound
This paper cites Qwen Technical Report.
Yi: Open Foundation Models by 01.AI Qwen Technical Report
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.954986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fae47672-343f-4e26-81e1-3432eac03063 · outbound
This paper cites Qwen Technical Report.
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.811909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4369031a-871f-4fd1-a604-7d43a04e6879 · outbound
This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.
Yi: Open Foundation Models by 01.AI PIQA: Reasoning about Physical Commonsense in Natural Language
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T14:55:18.098549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2fe3e583-882b-462e-b1e7-92d449ae1f79 · outbound
This paper cites Language models are few-shot learners.
Yi: Open Foundation Models by 01.AI Language models are few-shot learners
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.961717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8d0f0059-2eb1-4828-8bad-7ebbcb69dd83 · outbound
This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.
Yi: Open Foundation Models by 01.AI ShareGPT4V: Improving Large Multi-Modal Models with Better Captions
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T17:08:13.182567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 40cef2d6-289a-462e-bf7e-66a1147d7f6e · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Yi: Open Foundation Models by 01.AI Evaluating Large Language Models Trained on Code
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.821452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1a1af9b-2338-4a03-b1d4-ef9a7c52b3fc · outbound
This paper cites QuAC : Question Answering in Context.
Yi: Open Foundation Models by 01.AI QuAC : Question Answering in Context
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.967478Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7d5b83ac-9ba8-43e4-88e7-99b37fa0c8df · outbound
This paper cites Scaling Instruction-Finetuned Language Models.
Yi: Open Foundation Models by 01.AI Scaling Instruction-Finetuned Language Models
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.824323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f03a1aba-51bb-48a5-a3a2-a7b28c2a3995 · outbound
This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.
Yi: Open Foundation Models by 01.AI BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.971530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2ca558dc-f72e-4bc6-aa98-36aac033474b · outbound
This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.
Yi: Open Foundation Models by 01.AI Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.973640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 058b5832-f394-4c20-8e34-97d0139e8922 · outbound
This paper cites Training Verifiers to Solve Math Word Problems.
Yi: Open Foundation Models by 01.AI Training Verifiers to Solve Math Word Problems
Reference 13
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.827404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7b654103-f32e-47c4-a4ba-29dd2ac13e62 · outbound
This paper cites Redpajama: an open dataset for training large language models.
Yi: Open Foundation Models by 01.AI Redpajama: an open dataset for training large language models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.977710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 21b30b7a-e4f1-4841-ae7f-c0f1f719031b · outbound
This paper cites FlashAttention-2: Faster attention with better parallelism and work partitioning.
Yi: Open Foundation Models by 01.AI FlashAttention-2: Faster attention with better parallelism and work partitioning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.979625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0a0d82bb-604a-4551-bccf-9e364c1d11f0 · outbound
This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.
Yi: Open Foundation Models by 01.AI Fu, Stefano Ermon, Atri Rudra, and Christopher Ré
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.981530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a27fb53c-9786-43b0-acc9-25052947ff99 · outbound
This paper cites FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference.
Yi: Open Foundation Models by 01.AI FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.830620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 408e7d08-2cdf-4e74-a5c3-8ae49da9a97c · outbound
This paper cites an unresolved cited work.
Yi: Open Foundation Models by 01.AI Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-05-13T05:47:27.985436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 33cf3d9f-5d66-4f3c-8b05-48ba5a71e727 · outbound
This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.
Yi: Open Foundation Models by 01.AI LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T13:35:36.365299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9cd48f2d-8ba2-44ec-b00e-9a2022d7a761 · outbound
This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.
Yi: Open Foundation Models by 01.AI Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T17:25:08.436185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8e692070-853a-4529-b674-ffaa30ced810 · outbound
This paper cites How abilities in large language models are affected by supervised fine-tuning data composition.
Yi: Open Foundation Models by 01.AI How abilities in large language models are affected by supervised fine-tuning data composition
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.992100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ba0c2bde-c7c8-43c5-9a84-7da308567916 · outbound
This paper cites Hashimoto.
Yi: Open Foundation Models by 01.AI Hashimoto
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.993923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation baf6d7cf-8aaf-4064-8e1b-4d447055843d · outbound
This paper cites Data Engineering for Scaling Language Models to 128K Context.
Yi: Open Foundation Models by 01.AI Data Engineering for Scaling Language Models to 128K Context
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.840811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6b7fe9fd-e873-4c0c-bb54-eb89cb9aa5a2 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Yi: Open Foundation Models by 01.AI Gemini: A Family of Highly Capable Multimodal Models
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.843867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cc7489fc-2aa1-44da-acba-c1adcab5df13 · outbound
This paper cites Improving alignment of dialogue agents via targeted human judgements.
Yi: Open Foundation Models by 01.AI Improving alignment of dialogue agents via targeted human judgements
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:54:02.323766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bb5868c3-3364-43a1-8f81-1e9355e2bc15 · outbound
This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answering.
Yi: Open Foundation Models by 01.AI Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.002624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8ae34be9-71ad-406f-b122-9f8f1fd0114f · outbound
This paper cites Vizwiz grand challenge: Answering visual questions from blind people.
Yi: Open Foundation Models by 01.AI Vizwiz grand challenge: Answering visual questions from blind people
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.004571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b57c01bc-4aec-4d88-9ba5-7712f7fcb94f · outbound
This paper cites Measuring Massive Multitask Language Understanding.
Yi: Open Foundation Models by 01.AI Measuring Massive Multitask Language Understanding
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.850014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3af79dc2-2e12-491e-b03f-fa44142a34a1 · outbound
This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.
Yi: Open Foundation Models by 01.AI Measuring Mathematical Problem Solving With the MATH Dataset
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.853272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ffd954c0-0b98-49a6-98c4-cb7b1c339c55 · outbound
This paper cites Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M.
Yi: Open Foundation Models by 01.AI Brown, Prafulla Dhariwal, Scott Gray, Chris Hallacy, Benjamin Mann, Alec Radford, Aditya Ramesh, Nick Ryder, Daniel M
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.010599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 22adb4d1-4cce-4831-83bc-a2569fe6c6c4 · outbound
This paper cites Training Compute-Optimal Large Language Models.
Yi: Open Foundation Models by 01.AI Training Compute-Optimal Large Language Models
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.856225Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7d7527ae-bf4a-4dc7-9fa9-4c718d2557fe · outbound
This paper cites C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models.
Yi: Open Foundation Models by 01.AI C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.859347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 17ba1a3a-e8e5-46f7-8f1b-1988bcb042b3 · outbound
This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering.
Yi: Open Foundation Models by 01.AI Gqa: A new dataset for real-world visual reasoning and compositional question answering
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.016685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1d402539-ce5c-46a8-bb90-5a1c7e6ea8fc · outbound
This paper cites Openclip, July 2021.
Yi: Open Foundation Models by 01.AI Openclip, July 2021
Reference 35
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-13T05:47:28.018515Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 43d792c1-e18d-4696-a274-fe211cd47b07 · outbound
This paper cites NEFTune: Noisy Embeddings Improve Instruction Finetuning.
Yi: Open Foundation Models by 01.AI NEFTune: Noisy Embeddings Improve Instruction Finetuning
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.862233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8dfe5b25-974f-48f3-9b10-4d3ae3e9b0d5 · outbound
This paper cites Beavertails: Towards improved safety alignment of llm via a human-preference dataset.
Yi: Open Foundation Models by 01.AI Beavertails: Towards improved safety alignment of llm via a human-preference dataset
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.022510Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1d1df740-5dd9-4261-af39-d16921e3c4a6 · outbound
This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.
Yi: Open Foundation Models by 01.AI Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.024713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 017ae0f5-ad7b-4cab-bc5b-76fb21245cf8 · outbound
This paper cites Referitgame: Referring to objects in photographs of natural scenes.
Yi: Open Foundation Models by 01.AI Referitgame: Referring to objects in photographs of natural scenes
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.026695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation db19ad2a-8230-4851-9186-dab4c57063a5 · outbound
This paper cites Solar 10.7b: Scaling large language models with simple yet effective depth up-scaling.
Yi: Open Foundation Models by 01.AI Solar 10.7b: Scaling large language models with simple yet effective depth up-scaling
Reference 40
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-13T05:47:28.028437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation df3a2eb6-da0d-42ae-babf-70a6c420319a · outbound
This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.
Yi: Open Foundation Models by 01.AI Visual genome: Connecting language and vision using crowdsourced dense image annotations
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.030145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 92abbc8c-e40f-4bad-9b79-e95e606fa5d8 · outbound
This paper cites SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing.
Yi: Open Foundation Models by 01.AI SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.865215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e90940b9-37a1-46b0-bbfb-bbd9e07b8577 · outbound
This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.
Yi: Open Foundation Models by 01.AI Efficient Memory Management for Large Language Model Serving with PagedAttention
Reference 43
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T05:47:27.868094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f9c88327-88c0-461a-a72c-311d8a9422fb · outbound
This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.
Yi: Open Foundation Models by 01.AI CMMLU: Measuring massive multitask language understanding in Chinese
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T21:01:11.049549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 664367ad-fd64-46f2-95fe-9a4d17909af8 · outbound
This paper cites Sequence Parallelism: Long Sequence Training from System Perspective.
Yi: Open Foundation Models by 01.AI Sequence Parallelism: Long Sequence Training from System Perspective
Reference 45
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T05:47:27.874603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 722f2d67-df20-4425-bba6-e88e7aa2caa3 · outbound
This paper cites Hashimoto.
Yi: Open Foundation Models by 01.AI Hashimoto
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.039907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 394b3c85-89d4-4afc-8ace-0bee9a0dbc37 · outbound
This paper cites Chinese llava.
Yi: Open Foundation Models by 01.AI Chinese llava
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.041562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation de29601b-7e17-4358-b3b3-24a1dd73a06d · outbound
This paper cites Improved Baselines with Visual Instruction Tuning.
Yi: Open Foundation Models by 01.AI Improved Baselines with Visual Instruction Tuning
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.877237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 36eabc17-67b7-4e69-85fc-adeecc9a48d6 · outbound
This paper cites Visual Instruction Tuning.
Yi: Open Foundation Models by 01.AI Visual Instruction Tuning
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.879715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 39b7a24c-ea35-4a4c-b8cb-0115e76f93b3 · outbound
This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.
Yi: Open Foundation Models by 01.AI What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.882957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dddb51c6-e48f-4b14-ab5b-62fa2c70c3b2 · outbound
This paper cites #instag: Instruction tagging for analyzing supervised fine-tuning of large language models.
Yi: Open Foundation Models by 01.AI #instag: Instruction tagging for analyzing supervised fine-tuning of large language models
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.953074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5e1fb70e-7b90-404f-bcff-c0695552efdb · outbound
This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.
Yi: Open Foundation Models by 01.AI Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.957329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e4553f09-8e1d-4a65-be5f-1fcce818a81f · outbound
This paper cites Ocr-vqa: Visual question answering by reading text in images.
Yi: Open Foundation Models by 01.AI Ocr-vqa: Visual question answering by reading text in images
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.959579Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ca0e8629-1ad9-4c67-808a-1fe0e87f714d · outbound
This paper cites CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages.
Yi: Open Foundation Models by 01.AI CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T05:47:27.886303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 13316005-3745-41ec-9b31-c00f550be006 · outbound
This paper cites ChatML.
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.965606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0df04795-50a1-4d0d-b623-fb91bc174085 · outbound
This paper cites Training Language Models to Follow Instructions with Human Feedback.
Yi: Open Foundation Models by 01.AI Training Language Models to Follow Instructions with Human Feedback
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.969486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation bc65436d-e382-4a56-b870-b1db090aed4b · outbound
This paper cites Testing language models on a held-out high school national finals exam.
Yi: Open Foundation Models by 01.AI Testing language models on a held-out high school national finals exam
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.975683Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7c71bd78-8f50-4e2b-95ee-6d18dd1d86b1 · outbound
This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.
Yi: Open Foundation Models by 01.AI The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.983641Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5bbd85e4-054c-43da-9fc2-1bedb5554eb2 · outbound
This paper cites Efficiently Scaling Transformer Inference.
Yi: Open Foundation Models by 01.AI Efficiently Scaling Transformer Inference
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.987464Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ecfc47b0-0a3a-460f-943c-7e44864bdde7 · outbound
This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
Yi: Open Foundation Models by 01.AI Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.889143Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3e078a7b-0117-4d27-99cb-0508ca7af9ef · outbound
This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.
Yi: Open Foundation Models by 01.AI Direct Preference Optimization: Your Language Model is Secretly a Reward Model
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.892176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0b90fcc1-e5cc-4108-afc0-b0567f1ad204 · outbound
This paper cites ZeRO: Memory Opti- mizations Toward Training Trillion Parameter Models.
Yi: Open Foundation Models by 01.AI ZeRO: Memory Opti- mizations Toward Training Trillion Parameter Models
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.998265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1d32d981-eaf7-4047-a6f0-84f11a2225fe · outbound
This paper cites SQuAD: 100,000+ Questions for Machine Comprehension of Text.
Yi: Open Foundation Models by 01.AI SQuAD: 100,000+ Questions for Machine Comprehension of Text
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.000569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 21e76b0d-3c24-40a1-a017-9f5d496573a6 · outbound
This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.
Yi: Open Foundation Models by 01.AI WinoGrande: An Adversarial Winograd Schema Challenge at Scale
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.006543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2e65316e-f5a3-4f70-9133-7a31b73f9d47 · outbound
This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.
Yi: Open Foundation Models by 01.AI SocialIQA: Commonsense Reasoning about Social Interactions
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.008561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5e56535c-c3b9-44c4-9cbb-3e9a27f780ac · outbound
This paper cites Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws.
Yi: Open Foundation Models by 01.AI Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.895334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a26a0a6f-840b-4991-99b2-8b866c572132 · outbound
This paper cites Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems , 36.
Yi: Open Foundation Models by 01.AI Are emergent abilities of large language models a mirage? Advances in Neural Information Processing Systems , 36
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.014618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a78b98f-dead-4b10-9117-9c0fa818c9e6 · outbound
This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.
Yi: Open Foundation Models by 01.AI LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.898133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b8d48b9d-334a-4fc2-8d18-5b69db20471b · outbound
This paper cites Fast Transformer Decoding: One Write-Head is All You Need.
Yi: Open Foundation Models by 01.AI Fast Transformer Decoding: One Write-Head is All You Need
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.900790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1012f5ea-68d0-4da6-8d74-298e9d7e74c8 · outbound
This paper cites GLU Variants Improve Transformer.
Yi: Open Foundation Models by 01.AI GLU Variants Improve Transformer
Reference 70
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.903486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6b7c737a-8ecd-407f-9b0e-dfcd9822ba6c · outbound
This paper cites Byte Pair Encoding: A Text Compression Scheme That Accelerates Pattern Matching.
Yi: Open Foundation Models by 01.AI Byte Pair Encoding: A Text Compression Scheme That Accelerates Pattern Matching
Reference 71
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.035174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e2b0f7d1-b5ba-46c8-9814-668b885c69de · outbound
This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.
Yi: Open Foundation Models by 01.AI Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.906266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b6cc0bcc-cf24-434c-9b84-0540a31999d8 · outbound
This paper cites Textcaps: a dataset for image captioning with reading comprehension.
Yi: Open Foundation Models by 01.AI Textcaps: a dataset for image captioning with reading comprehension
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.043307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fdc97de7-0308-4492-b415-3aefef354a2e · outbound
This paper cites Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Ag- nieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W.
Yi: Open Foundation Models by 01.AI Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Ag- nieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.948678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fdaed6dc-bfc8-4ff8-849d-d8d94ce1015b · outbound
This paper cites RoFormer: Enhanced Transformer with Rotary Position Embedding.
Yi: Open Foundation Models by 01.AI RoFormer: Enhanced Transformer with Rotary Position Embedding
Reference 75
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.909138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8072bf01-20ef-4a54-8a5f-ed70093276c1 · outbound
This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.
Yi: Open Foundation Models by 01.AI Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.911955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9beaa40f-6a95-43c1-a4ee-b1bddf6d9cbe · outbound
This paper cites CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge.
Yi: Open Foundation Models by 01.AI CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
Reference 77
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.989707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5afa7a2b-9cc2-4dd5-a75e-9897d5a0c50d · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Yi: Open Foundation Models by 01.AI LLaMA: Open and Efficient Foundation Language Models
Reference 78
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.914524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5b235c71-fea1-4b93-9b35-7abcd5d19d83 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
Yi: Open Foundation Models by 01.AI Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 79
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.012590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ffac86c6-698a-4606-8842-9192e64e2f09 · outbound
This paper cites Attention Is All You Need.
Yi: Open Foundation Models by 01.AI Attention Is All You Need
Reference 80
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T05:47:27.917446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0fc3d07e-10cb-4433-b4ff-e7a1743f9cea · outbound
This paper cites CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data.
Yi: Open Foundation Models by 01.AI CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.920584Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a5f95e1d-1a70-40d1-b2b4-357946b8c537 · outbound
This paper cites Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases.
Yi: Open Foundation Models by 01.AI Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases
Reference 83
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.923565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation de159343-96e4-44b2-b362-1894086c305c · outbound
This paper cites Effective Long-Context Scaling of Foundation Models.
Yi: Open Foundation Models by 01.AI Effective Long-Context Scaling of Foundation Models
Reference 84
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T05:47:27.926738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a25b119c-9c10-4584-b8e0-b8ee3ca4f3b4 · outbound
This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.
Yi: Open Foundation Models by 01.AI WizardLM: Empowering large pre-trained language models to follow complex instructions
Reference 85
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:28:25.169141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b5d8ebc6-8564-4744-ad2b-1366a98d1796 · outbound
This paper cites Baichuan 2: Open Large-scale Language Models.
Yi: Open Foundation Models by 01.AI Baichuan 2: Open Large-scale Language Models
Reference 86
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.933467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ebb803db-71da-4e21-8925-29d6deb62fc5 · outbound
This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions.
Yi: Open Foundation Models by 01.AI From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.995999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation be5f0bb1-e317-4b68-82e9-60b9850e513e · outbound
This paper cites Orca: A Distributed Serving System for Transformer-Based Generative Models.
Yi: Open Foundation Models by 01.AI Orca: A Distributed Serving System for Transformer-Based Generative Models
Reference 88
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.020451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dd81c24f-d5cd-4bec-bde2-87cec8536132 · outbound
This paper cites Training With "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-context Tasks.
Yi: Open Foundation Models by 01.AI Training With "Paraphrasing the Original Text" Teaches LLM to Better Retrieve in Long-context Tasks
Reference 89
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.936524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e9f25dd6-cf6a-401f-a789-9f0f8f2f59bb · outbound
This paper cites Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases.
Yi: Open Foundation Models by 01.AI Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases
Reference 90
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.939685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 16ad0aa6-bfa3-4c22-90d6-62fd24ae7fd6 · outbound
This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.
Yi: Open Foundation Models by 01.AI HellaSwag: Can a Machine Really Finish Your Sentence?
Reference 91
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.037859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1cd82ad0-a844-4020-973b-484bf5de6693 · outbound
This paper cites Evaluating the Performance of Large Language Models on GAOKAO Benchmark.
Yi: Open Foundation Models by 01.AI Evaluating the Performance of Large Language Models on GAOKAO Benchmark
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T12:28:32.509177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation da761b21-bc1c-4309-9a6b-0202105cea7a · outbound
This paper cites LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding.
Yi: Open Foundation Models by 01.AI LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image Understanding
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:27.946357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dcd9718b-7f07-4248-89dc-791f8e6a89ef · outbound
This paper cites Chi, Quoc V Le, and Denny Zhou.
Yi: Open Foundation Models by 01.AI Chi, Quoc V Le, and Denny Zhou
Reference 94
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.031987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b3672111-00a9-428c-b771-2e172977531e · outbound
This paper cites P Xing, Hao Zhang, Joseph E.
Yi: Open Foundation Models by 01.AI P Xing, Hao Zhang, Joseph E
Reference 95
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:28.033541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ecd0c350-b2b1-47e6-997b-66c402ca9dc0 · outbound
This paper cites Lima: Less is more for alignment.
Yi: Open Foundation Models by 01.AI Lima: Less is more for alignment
Reference 96
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.950904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d5429822-3708-4a9a-977e-40f29c884378 · outbound
This paper cites Visual7w: Grounded question answering in images.
Yi: Open Foundation Models by 01.AI Visual7w: Grounded question answering in images
Reference 97
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-13T05:47:27.963692Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
Observation 4bd1f7e5-bb0d-4595-a789-46d39fd6c663 · inbound
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.
MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI Yi: Open Foundation Models by 01.AI
Reference 85
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T05:37:41.724855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 527f2313-43da-47fe-9abf-e1ca3e27952c · inbound
RouterBench: A Benchmark for Multi-LLM Routing System cites this paper.
RouterBench: A Benchmark for Multi-LLM Routing System Yi: Open Foundation Models by 01.AI
Reference 73
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T10:47:31.139761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 66521229-13e4-46b8-9f1b-dac5c65c6799 · inbound
Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.
Are We on the Right Way for Evaluating Large Vision-Language Models? Yi: Open Foundation Models by 01.AI
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f320eb5b-020a-4562-84f3-afc366a10c51 · inbound
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies Yi: Open Foundation Models by 01.AI
Reference 49
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-13T18:00:53.501285Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 40989b32-6885-4a23-bb54-617693c80ad7 · inbound
RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.
RULER: What's the Real Context Size of Your Long-Context Language Models? Yi: Open Foundation Models by 01.AI
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3fe90b26-9ede-4acd-a9e6-ddd3b99fc2f3 · inbound
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites cites this paper.
How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites Yi: Open Foundation Models by 01.AI
Reference 130
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5b6dee58-c543-422b-89b8-1acdcfda71fa · inbound
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model cites this paper.
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model Yi: Open Foundation Models by 01.AI
Reference 145
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9247c9ee-d996-4f1e-b553-774a98c2fdfa · inbound
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.
MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark Yi: Open Foundation Models by 01.AI
Reference 43
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3ea15d3a-565e-4683-8818-bb39d0582302 · inbound
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs cites this paper.
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs Yi: Open Foundation Models by 01.AI
Reference 54
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3e0b9b03-4f8b-499a-924a-efb92d26ac93 · inbound
Refusal in Language Models Is Mediated by a Single Direction cites this paper.
Refusal in Language Models Is Mediated by a Single Direction Yi: Open Foundation Models by 01.AI
Reference 203
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T10:47:56.165790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ec355397-9833-47f5-a0cb-909f246752e5 · inbound
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs Yi: Open Foundation Models by 01.AI
Reference 139
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T00:05:03.806290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 582dde4f-db68-43d1-b69c-bd506d05b62f · inbound
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale cites this paper.
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale Yi: Open Foundation Models by 01.AI
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 82e1358a-134e-4c47-93b5-12daca19527d · inbound
Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.
Scaling Synthetic Data Creation with 1,000,000,000 Personas Yi: Open Foundation Models by 01.AI
Reference 26
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T00:03:55.795468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cf6e328a-8617-4db9-91ff-b2b969be4963 · inbound
MiniCPM-V: A GPT-4V Level MLLM on Your Phone cites this paper.
MiniCPM-V: A GPT-4V Level MLLM on Your Phone Yi: Open Foundation Models by 01.AI
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2441fc69-158f-4d83-b2fe-9b5fc86f1bd0 · inbound
HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware cites this paper.
HexiScale: Facilitating Large Language Model Training over Heterogeneous Hardware Yi: Open Foundation Models by 01.AI
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T21:23:27.612193Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 949bac0b-6251-4029-b218-719c39ff4f54 · inbound
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark cites this paper.
MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark Yi: Open Foundation Models by 01.AI
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T00:51:48.463831Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 175d3db8-aadb-45a9-a5b7-84b6d9cb67bd · inbound
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models cites this paper.
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models Yi: Open Foundation Models by 01.AI
Reference 4
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-15T01:55:12.558215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2bab7c3f-75c0-4163-9282-e0ca44687f23 · inbound
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection cites this paper.
ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection Yi: Open Foundation Models by 01.AI
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T20:13:24.686872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 97fd4d77-d185-40fc-a0b4-72e32b580be2 · inbound
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP cites this paper.
How Good is Your Wikipedia? Auditing Data Quality for Low-resource and Multilingual NLP Yi: Open Foundation Models by 01.AI
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T17:38:15.842263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 793f941d-0895-4279-8b16-323dd5553644 · inbound
Refusal in LLMs is an Affine Function cites this paper.
Refusal in LLMs is an Affine Function Yi: Open Foundation Models by 01.AI
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:15:47.637213Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c68786ab-95ed-4559-8a3c-5e2d0ba94d45 · inbound
Legal Evalutions and Challenges of Large Language Models cites this paper.
Legal Evalutions and Challenges of Large Language Models Yi: Open Foundation Models by 01.AI
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:58:04.191611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34912703-ffe5-4d4a-a149-cbd595da760c · inbound
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts cites this paper.
Awaker2.5-VL: Stably Scaling MLLMs with Parameter-Efficient Mixture of Experts Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:29:56.289607Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 474464ad-8bcd-438b-b0d6-9ba11ea5c8b9 · inbound
I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion cites this paper.
I'm Spartacus, No, I'm Spartacus: Measuring and Understanding LLM Identity Confusion Yi: Open Foundation Models by 01.AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:29:16.210764Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17c644b9-54e5-4fe2-9c6a-db9a573818f6 · inbound
Membership Inference Attack against Long-Context Large Language Models cites this paper.
Membership Inference Attack against Long-Context Large Language Models Yi: Open Foundation Models by 01.AI
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:33:40.690331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 422fc425-340a-42e6-a6f9-1127a2a23398 · inbound
SignEye: Traffic Sign Interpretation from Vehicle First-Person View cites this paper.
SignEye: Traffic Sign Interpretation from Vehicle First-Person View Yi: Open Foundation Models by 01.AI
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:30:41.617694Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b767930-a0b2-4dd3-a400-57227c833bb9 · inbound
From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing cites this paper.
From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing Yi: Open Foundation Models by 01.AI
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:48:16.449851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 479b4b5f-f070-4fd4-ab30-a99a3aaac85e · inbound
DGSNA: Dynamic Generative Scene-based Noise Addition method cites this paper.
DGSNA: Dynamic Generative Scene-based Noise Addition method Yi: Open Foundation Models by 01.AI
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T17:45:46.254371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c57fb592-3de0-4ce7-b594-648ed8209bdd · inbound
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge cites this paper.
VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge Yi: Open Foundation Models by 01.AI
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:08:42.361273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b35edca-080d-4e12-890b-22ac3a091234 · inbound
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI cites this paper.
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI Yi: Open Foundation Models by 01.AI
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:16:27.932740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 550bd1ca-ee9f-4f75-9066-f47e86e86eaa · inbound
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration cites this paper.
ZoomEye: Enhancing Multimodal LLMs with Human-Like Zooming Capabilities through Tree-Based Image Exploration Yi: Open Foundation Models by 01.AI
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:41:49.540438Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a718fa00-1528-4360-83cf-28c345f29d55 · inbound
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? cites this paper.
Do Large Language Models Perform Latent Multi-Hop Reasoning without Exploiting Shortcuts? Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:53:38.703571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 856dc8cb-2354-46ec-8969-d882413e17cc · inbound
MUSE-VL: Modeling Unified VLM through Semantic Discrete Encoding cites this paper.
MUSE-VL: Modeling Unified VLM through Semantic Discrete Encoding Yi: Open Foundation Models by 01.AI
Reference 77
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:37:38.616627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a9af856-ff51-4cec-a2a9-398e3f64cbae · inbound
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects? cites this paper.
NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects? Yi: Open Foundation Models by 01.AI
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:57:29.166131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c53f23f-b9b8-4ed7-860c-5a660244c433 · inbound
Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS cites this paper.
Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS Yi: Open Foundation Models by 01.AI
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:13:42.615837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 44bf408d-746e-472f-8d6f-f9f9589980d0 · inbound
Zero-Indexing Internet Search Augmented Generation for Large Language Models cites this paper.
Zero-Indexing Internet Search Augmented Generation for Large Language Models Yi: Open Foundation Models by 01.AI
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:12:54.149007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0ae449b-628e-41de-9ccb-0c444d07d6f6 · inbound
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.
TQA-Bench: Evaluating LLMs for Multi-Table Question Answering Yi: Open Foundation Models by 01.AI
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:09:45.138609Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2894738e-c67c-4bff-8d49-7d942bb8df60 · inbound
Training Agents with Weakly Supervised Feedback from Large Language Models cites this paper.
Training Agents with Weakly Supervised Feedback from Large Language Models Yi: Open Foundation Models by 01.AI
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:08:13.249386Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6553fbeb-7e7e-4905-a0d0-8a312fc7ef82 · inbound
Open-Sora Plan: Open-Source Large Video Generation Model cites this paper.
Open-Sora Plan: Open-Source Large Video Generation Model Yi: Open Foundation Models by 01.AI
Reference 25
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-23T08:42:45.235533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f13ae7a9-78b3-4431-bb82-45e06f408143 · inbound
FullStack Bench: Evaluating LLMs as Full Stack Coders cites this paper.
FullStack Bench: Evaluating LLMs as Full Stack Coders Yi: Open Foundation Models by 01.AI
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:20:05.478461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea03d03c-99a3-493a-82f3-fcfbf5e8af9c · inbound
Yi-Lightning Technical Report cites this paper.
Yi-Lightning Technical Report Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:34:11.980335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a88d3ca5-8d6a-4ba3-afe7-fe033b7a4e31 · inbound
SEAL: Semantic Attention Learning for Long Video Representation cites this paper.
SEAL: Semantic Attention Learning for Long Video Representation Yi: Open Foundation Models by 01.AI
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T01:00:10.696787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 629bf445-2d55-4cc5-83a5-7cabcce69417 · inbound
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models cites this paper.
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Models Yi: Open Foundation Models by 01.AI
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:15:28.760232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7e04b10-0996-4aa7-9f3e-29316a62060f · inbound
Mimir: Improving Video Diffusion Models for Precise Text Understanding cites this paper.
Mimir: Improving Video Diffusion Models for Precise Text Understanding Yi: Open Foundation Models by 01.AI
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:51:11.807591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86a93457-3b49-482c-93a3-df9352643e34 · inbound
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media cites this paper.
Fine-Grained Behavior Simulation with Role-Playing Large Language Model on Social Media Yi: Open Foundation Models by 01.AI
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:45:29.991518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 05fdfed6-020a-4d50-a75c-2237f08eba29 · inbound
Weighted-Reward Preference Optimization for Implicit Model Fusion cites this paper.
Weighted-Reward Preference Optimization for Implicit Model Fusion Yi: Open Foundation Models by 01.AI
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:48:23.104877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74bd5c2b-7e7d-4e48-b582-7067b30e6cd3 · inbound
Bench-CoE: a Framework for Collaboration of Experts from Benchmark cites this paper.
Bench-CoE: a Framework for Collaboration of Experts from Benchmark Yi: Open Foundation Models by 01.AI
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:46:44.873313Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5e148e9-8647-44da-aa23-b9df4abc48e9 · inbound
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios cites this paper.
EgoPlan-Bench2: A Benchmark for Multimodal Large Language Model Planning in Real-World Scenarios Yi: Open Foundation Models by 01.AI
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:30:00.277554Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d169184-9103-4bd1-97cc-a89ed4e17aca · inbound
MageBench: Bridging Large Multimodal Models to Agents cites this paper.
MageBench: Bridging Large Multimodal Models to Agents Yi: Open Foundation Models by 01.AI
Reference 94
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:36:09.396491Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34828d07-ce50-4b03-bbf8-4ab9cc880254 · inbound
Can Large Language Models Effectively Process and Execute Financial Trading Instructions? cites this paper.
Can Large Language Models Effectively Process and Execute Financial Trading Instructions? Yi: Open Foundation Models by 01.AI
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T21:16:05.175959Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7257160-35c0-4dd2-92fa-2dbf36026d4f · inbound
Evaluating and Aligning CodeLLMs on Human Preference cites this paper.
Evaluating and Aligning CodeLLMs on Human Preference Yi: Open Foundation Models by 01.AI
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:53:15.335689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 090be071-3fa1-4dd5-b683-14ddc5dc2cf7 · inbound
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.
Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Yi: Open Foundation Models by 01.AI
Reference 280
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:47:28.044136Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f91a51a4-da7e-43b2-9df1-2df7828eb279 · inbound
Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models cites this paper.
Heuristic-Induced Multimodal Risk Distribution Jailbreak Attack for Multimodal Large Language Models Yi: Open Foundation Models by 01.AI
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:17:02.834058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2294cb6-7f8c-42f2-b353-697e71938d18 · inbound
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology cites this paper.
Exploring Large Language Models on Cross-Cultural Values in Connection with Training Methodology Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:33:06.397742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a05a6d7d-c4c3-4c2c-810a-577f80d11ca3 · inbound
Empowering LLMs to Understand and Generate Complex Vector Graphics cites this paper.
Empowering LLMs to Understand and Generate Complex Vector Graphics Yi: Open Foundation Models by 01.AI
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:20:51.849001Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eefbeff9-76e0-44e0-90d5-c7d61323a5ad · inbound
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model Over Aligned Large Language Models cites this paper.
Preference-Oriented Supervised Fine-Tuning: Favoring Target Model Over Aligned Large Language Models Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:44:15.303472Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fe92ce8-4802-4e12-814d-15c78f5a1be6 · inbound
Deploying Foundation Model Powered Agent Services: A Survey cites this paper.
Deploying Foundation Model Powered Agent Services: A Survey Yi: Open Foundation Models by 01.AI
Reference 145
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:09:46.155027Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94fbcdd1-2d9f-4da1-939d-9b17f8e07fc7 · inbound
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents cites this paper.
EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents Yi: Open Foundation Models by 01.AI
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:05:48.135842Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d1ba6df-a28d-411b-9a0d-6ed747c808ec · inbound
Do Language Models Understand Time? cites this paper.
Do Language Models Understand Time? Yi: Open Foundation Models by 01.AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:47:16.955000Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9fd6ca55-e517-4618-b1d6-0b64a8e59f44 · inbound
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Yi: Open Foundation Models by 01.AI
Reference 219
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T07:51:13.297166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 16fdb0d9-c51e-4823-a245-c074e0f73289 · inbound
Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation cites this paper.
Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation Yi: Open Foundation Models by 01.AI
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T08:15:34.007899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9cf2edea-2475-4181-88fc-12694aff65d2 · inbound
Qwen2.5 Technical Report cites this paper.
Qwen2.5 Technical Report Yi: Open Foundation Models by 01.AI
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T06:25:27.923861Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3bf5126f-538a-4eff-a437-4f85b734d514 · inbound
MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark cites this paper.
MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark Yi: Open Foundation Models by 01.AI
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:36:56.388284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f726c6b-5af5-4628-8a61-c223d586a93e · inbound
HREF: Human Response-Guided Evaluation of Instruction Following in Language Models cites this paper.
HREF: Human Response-Guided Evaluation of Instruction Following in Language Models Yi: Open Foundation Models by 01.AI
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:25:14.780280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 490a0703-5a46-41b5-94de-abf3f488cb53 · inbound
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation cites this paper.
Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation Yi: Open Foundation Models by 01.AI
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:20:51.548006Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34c5dda1-c9d4-443e-9f28-3b862093a734 · inbound
POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots cites this paper.
POEX: Towards Policy Executable Jailbreak Attacks Against the LLM-based Robots Yi: Open Foundation Models by 01.AI
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:28:37.515194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 713939e7-c264-44f9-b588-f9a6e567304c · inbound
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration cites this paper.
Multi-Agent Sampling: Scaling Inference Compute for Data Synthesis with Tree Search-Based Agentic Collaboration Yi: Open Foundation Models by 01.AI
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:53:01.362978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80691f16-efd6-4a3e-9a6f-9ebc2146cc7b · inbound
MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models cites this paper.
MineAgent: Towards Remote-Sensing Mineral Exploration with Multimodal Large Language Models Yi: Open Foundation Models by 01.AI
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:39:44.503518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b39cf780-d195-4180-a36f-bd451f8ae35e · inbound
In Case You Missed It: ARC 'Challenge' Is Not That Challenging cites this paper.
In Case You Missed It: ARC 'Challenge' Is Not That Challenging Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:13:07.116856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56568f3f-0b00-45ca-bbc7-d31ba1b960bd · inbound
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media cites this paper.
Are We in the AI-Generated Text World Already? Quantifying and Monitoring AIGT on Social Media Yi: Open Foundation Models by 01.AI
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:04:52.116742Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8a0aee9-44d1-4a54-b616-1df3423d4429 · inbound
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs cites this paper.
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs Yi: Open Foundation Models by 01.AI
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T12:36:50.201854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7654b8e9-93bf-48d4-bb68-c047097d402a · inbound
MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models cites this paper.
MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models Yi: Open Foundation Models by 01.AI
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-23T07:15:28.533562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 87fb6fc1-3a14-40d5-88bb-2e12276bf99d · inbound
WalkVLM:Aid Visually Impaired People Walking by Vision Language Model cites this paper.
WalkVLM:Aid Visually Impaired People Walking by Vision Language Model Yi: Open Foundation Models by 01.AI
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:12:19.068765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba88e5d4-4337-467b-9f14-0d807046f222 · inbound
Assessing the Robustness of LLM-based NLP Software via Automated Testing cites this paper.
Assessing the Robustness of LLM-based NLP Software via Automated Testing Yi: Open Foundation Models by 01.AI
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T23:09:21.419919Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2ef72d5-e6fe-4f39-8ffe-81525daa7bbd · inbound
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning cites this paper.
OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning Yi: Open Foundation Models by 01.AI
Reference 149
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T20:33:26.920858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 99d02520-c2a3-488b-b4a0-cf37515833be · inbound
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders cites this paper.
MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders Yi: Open Foundation Models by 01.AI
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:27:13.672970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 798bce14-0b0d-4892-adcb-37ed42899ca8 · inbound
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models cites this paper.
Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models Yi: Open Foundation Models by 01.AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:25:54.528176Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e57c9be-e5ce-4dea-a8c0-7973a8d4f6cb · inbound
LLMzSz{\L}: a comprehensive LLM benchmark for Polish cites this paper.
LLMzSz{\L}: a comprehensive LLM benchmark for Polish Yi: Open Foundation Models by 01.AI
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:18:19.288335Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a03ccba-efd8-46fe-9ae4-cc36b50e62dc · inbound
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference cites this paper.
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference Yi: Open Foundation Models by 01.AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:18:51.053783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 359f25d3-9ce5-43a4-8cce-e5ef798ccc26 · inbound
Interactive Information Need Prediction with Intent and Context cites this paper.
Interactive Information Need Prediction with Intent and Context Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:11:04.307213Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f74d0065-8633-41f6-892d-8654f45df0c4 · inbound
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation cites this paper.
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation Yi: Open Foundation Models by 01.AI
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:56:23.275715Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1e6bd2c-81a1-4157-9533-850fd836e371 · inbound
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision cites this paper.
Feedback-Driven Vision-Language Alignment with Minimal Human Supervision Yi: Open Foundation Models by 01.AI
Reference 104
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:34:35.614146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 544897a7-4d45-4c5d-8b9d-c1f9c41dced9 · inbound
Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs cites this paper.
Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs Yi: Open Foundation Models by 01.AI
Reference 98
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:31:16.348265Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cd375c7-9719-4221-82c9-2731ac8c9c22 · inbound
Do Code LLMs Understand Design Patterns? cites this paper.
Do Code LLMs Understand Design Patterns? Yi: Open Foundation Models by 01.AI
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:28:07.342413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4538c36e-4135-4292-a14d-7ef8eb457aa6 · inbound
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch cites this paper.
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch Yi: Open Foundation Models by 01.AI
Reference 154
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:54:02.521439Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d44c25e-8b08-4fa3-bb17-38dc9cbe3893 · inbound
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training cites this paper.
OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training Yi: Open Foundation Models by 01.AI
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:33:20.525624Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b05a3cfb-2f89-4cb1-bcaf-ea3eb98a9416 · inbound
Aligning Instruction Tuning with Pre-training cites this paper.
Aligning Instruction Tuning with Pre-training Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:10:34.745617Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7204dca-4d13-43a3-b105-aaf5da2afab2 · inbound
Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions cites this paper.
Mitigating Hallucinations on Object Attributes using Multiview Images and Negative Instructions Yi: Open Foundation Models by 01.AI
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:28:29.822205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64c656ab-1840-42e8-b787-1f0d1cb7924d · inbound
Online Preference Alignment for Language Models via Count-based Exploration cites this paper.
Online Preference Alignment for Language Models via Count-based Exploration Yi: Open Foundation Models by 01.AI
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:58:02.645376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21cd5c21-b140-498b-80c8-40bfc2042ea9 · inbound
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models cites this paper.
A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models Yi: Open Foundation Models by 01.AI
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:38:25.998097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83cfa4cb-7d7c-4eeb-8389-9d6c5033ba6b · inbound
Unraveling the Capabilities of Language Models in News Summarization cites this paper.
Unraveling the Capabilities of Language Models in News Summarization Yi: Open Foundation Models by 01.AI
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T00:36:46.458321Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ec9cee2-635f-437b-a554-75489d2ce71e · inbound
Scalable Framework for Classifying AI-Generated Content Across Modalities cites this paper.
Scalable Framework for Classifying AI-Generated Content Across Modalities Yi: Open Foundation Models by 01.AI
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:17:52.179978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0c82835-991b-431f-be27-acdbc325c613 · inbound
OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology cites this paper.
OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology Yi: Open Foundation Models by 01.AI
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:10:24.906158Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be500420-1eb0-4d01-8bd1-cd020197bd0e · inbound
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Yi: Open Foundation Models by 01.AI
Reference 247
- Resolution
- verified exact
- local_arxiv, observed 2026-05-13T17:30:03.065466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4fa3a959-f049-4aa8-8f20-891d7b801c66 · inbound
Ola: Pushing the Frontiers of Omni-Modal Language Model cites this paper.
Ola: Pushing the Frontiers of Omni-Modal Language Model Yi: Open Foundation Models by 01.AI
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T22:47:39.354193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 389fcae2-e4a6-4fb2-8ff3-14b53e5c7832 · inbound
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease cites this paper.
DECT: Harnessing LLM-assisted Fine-Grained Linguistic Knowledge and Label-Switched and Label-Preserved Data Generation for Diagnosis of Alzheimer's Disease Yi: Open Foundation Models by 01.AI
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T00:54:56.900854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d3b7035-f87b-412a-b727-b261da42ae26 · inbound
Generating Symbolic World Models via Test-time Scaling of Large Language Models cites this paper.
Generating Symbolic World Models via Test-time Scaling of Large Language Models Yi: Open Foundation Models by 01.AI
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:45:45.484908Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a369b45b-8e49-46cf-b6f4-175ba496e2a4 · inbound
Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM cites this paper.
Steel-LLM:From Scratch to Open Source -- A Personal Journey in Building a Chinese-Centric LLM Yi: Open Foundation Models by 01.AI
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:50:58.703849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d6a70cd-7650-4683-b5ac-fc082ea71c30 · inbound
Automatic Evaluation of Healthcare LLMs Beyond Question-Answering cites this paper.
Automatic Evaluation of Healthcare LLMs Beyond Question-Answering Yi: Open Foundation Models by 01.AI
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:46:29.725457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb8a50d0-a881-46da-8b71-5588a91ed2ce · inbound
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models cites this paper.
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models Yi: Open Foundation Models by 01.AI
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:23:05.824654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a472a32-422a-491b-89b2-53790077e6c2 · inbound
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation cites this paper.
SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation Yi: Open Foundation Models by 01.AI
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T10:14:30.157778Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.