Paper Citation Record · LEDGER

dots.llm1 Technical Report

As of 24 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 5 inbound Pith citation observations for arXiv:2506.05767.

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

pith.paper-citation-record.v1
2506.05767 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:19:11.474503Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:55:09.763377Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:40:36.526819Z

Reference resolution

52 of 52 outbound references displayed

verified exact1
verified fuzzy6
unresolved44
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef6c8e10-a1ae-4d1c-96dd-93af39aa0d70 · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

dots.llm1 Technical Report GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:05.944665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 874c6d55-412e-44e8-837b-22792e1024e3 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

dots.llm1 Technical Report Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.505142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a929a264-7db0-4d92-973b-318edfa6424a · outbound

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

dots.llm1 Technical Report Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.589140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4de6955d-0759-439f-88d1-fa8474b325bf · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

dots.llm1 Technical Report DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.770176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dda731e-f33b-44d3-8d76-0bfb6f1de269 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models.

dots.llm1 Technical Report DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.869670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466d1906-528a-4036-a4db-93f0a6e31ad2 · outbound

This paper cites DeepSeek-V3 Technical Report.

dots.llm1 Technical Report DeepSeek-V3 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.966756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70df57b9-3c64-48b7-86be-03d5b1a13380 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

dots.llm1 Technical Report Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.247635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b325499-623b-42c7-a976-6ef01c17d7ee · outbound

This paper cites Are We Done with MMLU?.

dots.llm1 Technical Report Are We Done with MMLU?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.465034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fdb3c03-4061-4d7a-9a7e-936015379f53 · outbound

This paper cites Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.

dots.llm1 Technical Report Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.566146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a16ed031-f900-4199-8887-d64ba2551741 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

dots.llm1 Technical Report RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.663478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fd57e70-35bd-4eca-a815-f60b6b26379c · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

dots.llm1 Technical Report MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.787573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d0cfd26-094f-4b46-89d4-b83703665267 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

dots.llm1 Technical Report LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.880725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4698fee8-303f-49a7-8c53-e933f36d40fe · outbound

This paper cites Style Mixture of Experts for Expressive Text-To-Speech Synthesis.

dots.llm1 Technical Report Style Mixture of Experts for Expressive Text-To-Speech Synthesis

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.960917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86bd160-19ff-4530-b1d6-2534e72d62a6 · outbound

This paper cites Mixtral of Experts.

dots.llm1 Technical Report Mixtral of Experts

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.097824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a3de6e9-767f-451e-a3a5-718ee58beeb3 · outbound

This paper cites URLhttps://doi.org/10.1162/tacl a 00276.

dots.llm1 Technical Report URLhttps://doi.org/10.1162/tacl a 00276

Reference 24

Resolution: malformed identifier; no resolver link, observed 2026-08-07T10:19:08.319176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c9352a6-200d-43b2-8bf1-6ccd7310f589 · outbound

This paper cites CMMLU: Measuring massive multitask language understanding in Chinese.

dots.llm1 Technical Report CMMLU: Measuring massive multitask language understanding in Chinese

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.400230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea5670b8-aafe-413c-89de-390a86bd6947 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

dots.llm1 Technical Report From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.514551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b125ddbb-6f4d-44d5-8f15-a1a3eb7d7ef8 · outbound

This paper cites A coordinated tiling and batching framework for efficient GEMM on gpus.

dots.llm1 Technical Report A coordinated tiling and batching framework for efficient GEMM on gpus

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:14.410380Z

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 15cae609-7370-44d3-b397-353c30ac1352 · outbound

This paper cites URLhttps://doi.org/10.1145/3293883.3295734.

dots.llm1 Technical Report URLhttps://doi.org/10.1145/3293883.3295734

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.722169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8527008f-023f-43a9-bbdc-fe0330356534 · outbound

This paper cites Evaluating Language Models for Efficient Code Generation.

dots.llm1 Technical Report Evaluating Language Models for Efficient Code Generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.859635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a816d02-a227-46da-b469-98334aa45ca4 · outbound

This paper cites American invitational mathematics examination - aime.

dots.llm1 Technical Report American invitational mathematics examination - aime

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:14.138644Z

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 de4206f7-58c5-4b9b-881c-f4cbb172ddd2 · outbound

This paper cites 2 OLMo 2 Furious.

dots.llm1 Technical Report 2 OLMo 2 Furious

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.100923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c1639d7-5a84-4d64-984c-650507aab5d5 · outbound

This paper cites an unresolved cited work.

dots.llm1 Technical Report Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:19:13.844193Z

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 199f002f-1d8a-42ba-ad1c-186077619a80 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

dots.llm1 Technical Report Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.404970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08225807-ecd9-41ec-ac8d-8bc2997c788b · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

dots.llm1 Technical Report GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.508961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22c20e23-6217-4f49-9916-af3bbdd70b5e · outbound

This paper cites GLU Variants Improve Transformer.

dots.llm1 Technical Report GLU Variants Improve Transformer

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.613113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e802fe5-4bee-4ec8-8294-0adb838c78f0 · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

dots.llm1 Technical Report Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.708715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf8e0a40-cfe6-4325-a704-9ce7aabcf641 · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

dots.llm1 Technical Report SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.796174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55ab1894-7d2e-4258-b98e-5c51dfda6149 · outbound

This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.

dots.llm1 Technical Report Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.918457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e91f080-f5b3-4684-b3c8-6d239717794d · outbound

This paper cites Small-scale proxies for large-scale Transformer training instabilities.

dots.llm1 Technical Report Small-scale proxies for large-scale Transformer training instabilities

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.005263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f260a1-5374-492f-8e19-a98e7802c536 · outbound

This paper cites an unresolved cited work.

dots.llm1 Technical Report Unresolved cited work

Reference 41

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:19:13.557576Z

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 4b98e07d-91b7-4e71-9c15-9aaaa0bc664a · outbound

This paper cites Qwen2.5 Technical Report.

dots.llm1 Technical Report Qwen2.5 Technical Report

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.230548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b12a93e3-f33a-4404-8e35-4a89b11d0ae5 · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

dots.llm1 Technical Report Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.371013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7fda504-eadb-42b7-8e76-ddf51d6378c0 · outbound

This paper cites URL https://doi.org/10.1 007/s11227-022-04336-3.

dots.llm1 Technical Report URL https://doi.org/10.1 007/s11227-022-04336-3

Reference 44

Resolution: verified exact; doi, observed 2026-08-07T10:19:11.727351Z

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 331151e7-c28b-4bb6-8c64-409cd28eb5db · outbound

This paper cites URLhttps://doi.org/10.18653/v1/p19-1472.

dots.llm1 Technical Report URLhttps://doi.org/10.18653/v1/p19-1472

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.610267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d32dcfcc-79c2-42d9-be34-be6939a940d3 · outbound

This paper cites URL https://doi.org/10.110 9/HPCC-DSS-SmartCity-DependSys57074.2022.00143.

dots.llm1 Technical Report URL https://doi.org/10.110 9/HPCC-DSS-SmartCity-DependSys57074.2022.00143

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.726181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 075b5f16-5f97-4571-9558-5dd63cd38c43 · outbound

This paper cites AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models.

dots.llm1 Technical Report AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.836071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f3b8fb-9001-4088-a469-8b4a76f468b4 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

dots.llm1 Technical Report BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:10.967462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9949bfc3-4dfc-4637-8b6a-808984fff756 · outbound

This paper cites an unresolved cited work.

dots.llm1 Technical Report Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:19:13.259574Z

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 875f7de0-8f14-4d20-bc44-a8f2e8d682d7 · outbound

This paper cites an unresolved cited work.

dots.llm1 Technical Report Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T10:19:12.948136Z

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 4d45c2e5-1bde-4045-b290-efc0c8da941a · outbound

This paper cites The process involves the following steps: First, we apply the same text standardization as in the Identity Removal step.

dots.llm1 Technical Report The process involves the following steps: First, we apply the same text standardization as in the Identity Removal step

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:12.633492Z

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 c14e087c-596b-4339-8e96-85cebb7c55f8 · outbound

This paper cites Quality ModelThe quality model performs comprehensive multidimensional analysis to evaluate and score training samples (Qwen, 2024a; Penedo et al., 2024).

dots.llm1 Technical Report Quality ModelThe quality model performs comprehensive multidimensional analysis to evaluate and score training samples (Qwen, 2024a; Penedo et al., 2024)

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:12.411623Z

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 d0d39a29-5d2a-4235-a516-9c5f3ff028cd · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

dots.llm1 Technical Report The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:09.316387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07f4b476-928e-4ab7-affc-42a1d274c0a0 · outbound

This paper cites FastText.zip: Compressing text classification models.

dots.llm1 Technical Report FastText.zip: Compressing text classification models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:08.184227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 229d4982-e67f-457b-ad3a-b22830717b8a · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

dots.llm1 Technical Report Training Verifiers to Solve Math Word Problems

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.683520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d21e61d-1cd5-4a46-a56e-4df876624cdc · outbound

This paper cites The Llama 3 Herd of Models.

dots.llm1 Technical Report The Llama 3 Herd of Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.140808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e046010-1d3e-4fb3-9e18-9fc4de538bc2 · outbound

This paper cites URL https://doi.org/10.1609/aaai.v34i05.6239.

dots.llm1 Technical Report URL https://doi.org/10.1609/aaai.v34i05.6239

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.257959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9968483b-4e90-42a4-b346-dbdfc6958140 · outbound

This paper cites Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, and Yejin Choi.

dots.llm1 Technical Report Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, and Yejin Choi

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:15.045180Z

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 694b8fdb-094f-4618-9cf5-ffb90a1578b4 · outbound

This paper cites Are We Done with MMLU?.

dots.llm1 Technical Report Are We Done with MMLU?

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:07.351743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 014d4ab6-34bd-4b6c-bb88-9cc54102f850 · outbound

This paper cites DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs.

dots.llm1 Technical Report DROP: A reading comprehension benchmark requiring discrete reasoning over paragraphs

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:19:14.739804Z

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 d6f1e018-cf6d-4687-a980-ffa9bfeed1e7 · outbound

This paper cites McEval: Massively Multilingual Code Evaluation.

dots.llm1 Technical Report McEval: Massively Multilingual Code Evaluation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.377805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3381bbcd-06f1-4942-a951-f60497195e1f · outbound

This paper cites Program Synthesis with Large Language Models.

dots.llm1 Technical Report Program Synthesis with Large Language Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:06.055006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 7a2fae88-c8b7-441e-a300-6c77883d71e3 · inbound

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts cites this paper.

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts dots.llm1 Technical Report

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T21:55:09.763377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f339dd7c-1b5f-4c73-b747-c9875d60c6f5 · inbound

UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning cites this paper.

UltraMemV2: Memory Networks Scaling to 120B Parameters with Superior Long-Context Learning dots.llm1 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T16:17:42.004470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e67ca73-fa02-476a-bdb4-53b3e93a009e · inbound

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts cites this paper.

Beyond Sunk Costs: Boosting LLM Pre-training Efficiency via Orthogonal Growth of Mixture-of-Experts dots.llm1 Technical Report

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:40:36.529155Z

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 475a8df5-5fba-425a-be89-411437f1e31e · inbound

PolicyLong: Towards On-Policy Context Extension cites this paper.

PolicyLong: Towards On-Policy Context Extension dots.llm1 Technical Report

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:55:59.972876Z

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 1dc3dcc8-afca-4cf8-a372-b9febde852be · inbound

CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data cites this paper.

CuraWeb: Joint Optimization of Quality, Redundancy, and Diversity for Web-Scale Pretraining Data dots.llm1 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:40:03.534751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.