Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:58:04.394490Z
Paper Citation Record · LEDGER
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers
As of 16 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 3 inbound Pith citation observations for arXiv:2412.15304.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:06.601276Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T06:24:19.337232Z
Reference resolution
65 of 65 outbound references displayed
- verified exact0
- verified fuzzy51
- unresolved13
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5a276736-2978-4893-a2dc-b91c2e33cb6e · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.534913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5f1e5727-c9ab-4089-8dbd-82e0b3dbd510 · outbound
This paper cites The Claude 3 Model Family: Opus, Sonnet, Haiku, 2023.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers The Claude 3 Model Family: Opus, Sonnet, Haiku, 2023
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.516084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9c2d31e8-1482-4082-8d69-9319615cb6d9 · outbound
This paper cites Beelink EQ13 N100, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Beelink EQ13 N100, 2024
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.497328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 6848b6cc-c3a4-4d3b-8ca3-2ab920db5d05 · outbound
This paper cites an unresolved cited work.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T11:58:05.478337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3d76385a-3619-41ab-9a04-4fbce6526c92 · outbound
This paper cites Swimming style recognition and lap counting using a smartwatch and deep learning.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Swimming style recognition and lap counting using a smartwatch and deep learning
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.459560Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 14eab856-5468-4e38-94f2-d6ddae5f8053 · outbound
This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4, 2023.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Sparks of Artificial General Intelligence: Early experiments with GPT-4, 2023
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.430598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08f3c6f9-6d70-486a-ab38-b3abb9093838 · outbound
This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.107792Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32408ced-a369-473d-bc2d-1e56662a8dae · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.113336Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 215d5d15-0a84-4868-87ab-cdb03696598d · outbound
This paper cites Speech-transformer: A no- recurrence sequence-to-sequence model for speech recognition.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Speech-transformer: A no- recurrence sequence-to-sequence model for speech recognition
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.408725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f903effe-f5a8-4438-8ce9-b9c32c990c2b · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale, 2021.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers An image is worth 16x16 words: Transformers for image recognition at scale, 2021
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.124026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9595f34-139e-4cd8-b47f-c13ca62f8373 · outbound
This paper cites The llama 3 herd of models, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers The llama 3 herd of models, 2024
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.376751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2f2cf982-6e68-4d31-9888-150533aa9fa5 · outbound
This paper cites AdamW Optimizer.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers AdamW Optimizer
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.357670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2ea7b96a-92df-4c39-8b34-526a520a7f0f · outbound
This paper cites Codebert: A pre-trained model for programming and natural languages, 2020.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Codebert: A pre-trained model for programming and natural languages, 2020
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.141091Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac968cf6-0949-4f33-90f6-b41af0725d59 · outbound
This paper cites Model Inversion Attacks that Exploit Confidence Information and Basic Countermea- sures.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Model Inversion Attacks that Exploit Confidence Information and Basic Countermea- sures
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.327362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 76e259b7-0898-4a0b-9633-18ecf4ad7ea7 · outbound
This paper cites Description of Quantization Types in llama.cpp.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Description of Quantization Types in llama.cpp
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.309979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 98de512a-1909-4617-92bc-5398d02ae1ea · outbound
This paper cites Llama.cpp.https://github.com/ggerganov/llama.cpp,.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Llama.cpp.https://github.com/ggerganov/llama.cpp,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.291197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5d8bde02-c335-4cce-b6cc-82a2e1ae4ab2 · outbound
This paper cites Mahoney, and Kurt Keutzer.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Mahoney, and Kurt Keutzer
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.254889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fa967c5a-d1af-4af9-bed0-4da368b4081a · outbound
This paper cites The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers The university of sussex-huawei locomotion and transportation dataset for multimodal analytics with mobile devices
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.237748Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a5d3730c-67b9-44b7-a97a-2705cfc0d70a · outbound
This paper cites Rae, Oriol Vinyals, and Laurent Sifre.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Rae, Oriol Vinyals, and Laurent Sifre
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.220009Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 119cf40d-d83d-4a5d-819f-fadb7d5a5055 · outbound
This paper cites Eval- uating large language models as virtual annotators for time-series physical sensing data, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Eval- uating large language models as virtual annotators for time-series physical sensing data, 2024
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.202844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 40775770-9d7a-482d-8148-32a01b28c8a9 · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.185477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a046c11-ece1-49f5-9bf0-18847c9f59fe · outbound
This paper cites Dai, Matthew D.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Dai, Matthew D
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.167004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fadf4895-68de-476b-af52-86f7d4cf4f45 · outbound
This paper cites Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bam- ford, and other.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bam- ford, and other
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.148327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dcd3e917-e56b-43e3-9de8-a1c4e9b23f66 · outbound
This paper cites Brown, Ben- jamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Brown, Ben- jamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.129202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c8681899-49d9-499f-9aeb-3146bec836a4 · outbound
This paper cites Mahoney, and Kurt Keutzer.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Mahoney, and Kurt Keutzer
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.111804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 29c98342-8314-4a82-b547-a604dcc05670 · outbound
This paper cites Lattepanda sigma, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Lattepanda sigma, 2024
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.094784Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ce28f562-0996-408a-9ce6-72ab3f7377a9 · outbound
This paper cites Starcoder: may the source be with you!, 2023.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Starcoder: may the source be with you!, 2023
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.077734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3c379d57-aa79-4dc1-ae11-72d0b325eafe · outbound
This paper cites Large language models are few-shot health learners, 13 Conference’17, July 2017, Washington, DC, USA Viswanadh and Ambuj 2023.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Large language models are few-shot health learners, 13 Conference’17, July 2017, Washington, DC, USA Viswanadh and Ambuj 2023
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.059806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 328f6048-5bb6-42ef-9743-2b7831a1e304 · outbound
This paper cites The era of 1-bit llms: All large language models are in 1.58 bits, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers The era of 1-bit llms: All large language models are in 1.58 bits, 2024
Reference 29
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be98ab17-6d3e-4f10-86c0-c683d3f97bef · outbound
This paper cites Mankowitz et al.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Mankowitz et al
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.029514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1a98d0af-fee3-44f6-a1ad-135fbec5c4f0 · outbound
This paper cites On faithfulness and factuality in abstractive summarization.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers On faithfulness and factuality in abstractive summarization
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:05.011599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8e93e6a6-e510-4c26-95b6-640d75068983 · outbound
This paper cites Meta large language model compiler: Foundation models of compiler optimization, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Meta large language model compiler: Foundation models of compiler optimization, 2024
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.989903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 61a2f8a7-9679-44bf-9cea-3413e35e73d4 · outbound
This paper cites Codestral: Hello, world!, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Codestral: Hello, world!, 2024
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.970118Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0da16cbe-c8c5-464e-84e5-f4c72391b7fb · outbound
This paper cites Iot-lm: Large multisensory language models for the internet of things, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Iot-lm: Large multisensory language models for the internet of things, 2024
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.952857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2b9f6b53-93f2-4f92-9705-abe6f90f23e9 · outbound
This paper cites ChatGPT (June 2024 version).
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers ChatGPT (June 2024 version)
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.935174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b7baa7e8-7d9b-4b2a-b5ab-d7f537cfbc38 · outbound
This paper cites OpenAI Model Pricing, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers OpenAI Model Pricing, 2024
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.917879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 34cd47c5-fa08-42ba-82cb-ab7f3b160e0a · outbound
This paper cites Gpt-4 technical report, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Gpt-4 technical report, 2024
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.266014Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90995e9a-14c4-4d06-8779-61f5d2fadbe9 · outbound
This paper cites Carbon Emissions and Large Neural Network Training, 2021.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Carbon Emissions and Large Neural Network Training, 2021
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.270714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81798711-e5ff-41db-8b12-e0c106770302 · outbound
This paper cites FineWeb, 04 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers FineWeb, 04 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.874755Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d2f0a4b4-4152-4b21-9e78-14b736f175b1 · outbound
This paper cites Puccinelli and M.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Puccinelli and M
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.858653Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a4c215a-3cb3-44d1-a02c-d2707d48be1c · outbound
This paper cites Language Models are Unsupervised Multitask Learners.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Language Models are Unsupervised Multitask Learners
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.841585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 25f1d49b-fd8e-4943-bd4e-cca7e9eba1ff · outbound
This paper cites Raspberry Pi, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Raspberry Pi, 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.825023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation eeade378-7a77-4a5e-8fc4-b52b82a2afda · outbound
This paper cites Phi-2: The Surprising Power of Small Language Models.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Phi-2: The Surprising Power of Small Language Models
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.808327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 08bd89c1-f411-4e8f-adce-2dd0dfd37845 · outbound
This paper cites High-resolution image synthesis with latent diffu- sion models.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers High-resolution image synthesis with latent diffu- sion models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.300480Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1161d9bd-6ed9-4a9b-9e80-baaadd2ee4d0 · outbound
This paper cites Code Llama: Open Foundation Models for Code.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Code Llama: Open Foundation Models for Code
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.305662Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 399f9c6e-3547-4138-bc50-f4379522d028 · outbound
This paper cites Grandmaster-level chess without search, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Grandmaster-level chess without search, 2024
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.780766Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55d35ca3-6ae9-452a-941a-e17de982fea9 · outbound
This paper cites From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.763438Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 74a3ef2f-f507-47ec-9d34-b88870329ed7 · outbound
This paper cites Orange Pi 5, 2022.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Orange Pi 5, 2022
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.747528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 0398875b-d27c-46d6-a859-d25639dc658b · outbound
This paper cites Orange Pi Zero 2W, 2022.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Orange Pi Zero 2W, 2022
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.731353Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 53f77eb3-2559-4873-bde7-86c4b5a8519e · outbound
This paper cites Knowledge boosting during low-latency inference, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Knowledge boosting during low-latency inference, 2024
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.712690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3e648f86-11af-4e62-9dd5-fa4c3e7249bc · outbound
This paper cites Hashimoto.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Hashimoto
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.694332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation addb9801-74c3-4169-85d0-2f3305c09a40 · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Gemini: A Family of Highly Capable Multimodal Models, 2024
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.676978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4b47462d-af38-4aff-b7d8-555f8cc746aa · outbound
This paper cites Gemma: Open Models Based on Gemini Research and Technology, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Gemma: Open Models Based on Gemini Research and Technology, 2024
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.660383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7bad7ead-4c0b-4878-8a15-0f672500b64f · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 54
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0383d7d-9c72-4f42-9bfd-63f47f679ea6 · outbound
This paper cites Recognizing de- tailed human context in the wild from smartphones and smartwatches.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Recognizing de- tailed human context in the wild from smartphones and smartwatches
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.643277Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d3a6c806-dd7f-4857-8514-1bc78d5676e7 · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.626058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ffa2153e-670c-40a7-8ed5-f83e77484e00 · outbound
This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.365431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 433a5467-8e02-4584-bc28-1ece9e899495 · outbound
This paper cites Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Chi, Tatsunori Hashimoto, Oriol Vinyals, Percy Liang, Jeff Dean, and William Fedus
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.596896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f45b09bd-0a26-4aed-ad4a-b045dbb3ddd0 · outbound
This paper cites SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.578211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 70f04b59-ee70-4dca-8dc8-5e54fc5557bc · outbound
This paper cites Pene- trative ai: Making llms comprehend the physical world.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Pene- trative ai: Making llms comprehend the physical world
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.558316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d163bbad-651d-4eb6-95a4-70fb49185fed · outbound
This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Hallucination is Inevitable: An Innate Limitation of Large Language Models, 2024
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.540972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation ab878af9-f70d-4cf9-b470-b42123c3941c · outbound
This paper cites Mobile foundation model as firmware.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Mobile foundation model as firmware
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.524835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e4fadee3-4351-440d-9ede-a7bb613de5ff · outbound
This paper cites A Survey on Efficient Inference for Large Language Models, 2024.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers A Survey on Efficient Inference for Large Language Models, 2024
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T11:58:04.507944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 9266a7ce-aedf-4c46-8179-3f87ed2ca6f1 · outbound
This paper cites an unresolved cited work.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Unresolved cited work
Reference 2019
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:58:04.095994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48c56d81-9985-4412-887a-c9a89d8e36c8 · outbound
This paper cites an unresolved cited work.
TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers Unresolved cited work
Reference 2024
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-11T11:58:05.273411Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation 2026bde9-e74d-4f90-89e3-5b2eac1b236f · inbound
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission cites this paper.
Communication-Efficient Hybrid Language Model via Uncertainty-Aware Opportunistic and Compressed Transmission TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:55:06.601276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c07ea990-c21b-4fc3-a972-751a27ca755b · inbound
Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction cites this paper.
Text-RSIR: A Text-Guided Framework for Efficient Remote Sensing Image Transmission and Reconstruction TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T20:02:44.877533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 48007148-96b7-46f1-9cd7-49f44d3cc8e1 · inbound
Little Brains, Big Feats: Exploring Compact Language Models cites this paper.
Little Brains, Big Feats: Exploring Compact Language Models TinyLLM: A Framework for Training and Deploying Language Models at the Edge Computers
Reference 15
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T06:24:19.338688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.