Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:32:20.014194Z
Paper Citation Record · LEDGER
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding
As of 8 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2505.18758.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
58 of 58 outbound references displayed
- verified exact0
- verified fuzzy51
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 40af015c-b43e-4cbc-81e1-a8cdcc552ddf · outbound
This paper cites Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:28.797709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c51b9444-a97c-4766-a862-6c45b7db9d9c · outbound
This paper cites GPTVQ: The blessing of dimensionality for LLM quantization.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding GPTVQ: The blessing of dimensionality for LLM quantization
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:28.654010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e4eba4ad-b0b8-47bc-a21b-5627f02ccf0b · outbound
This paper cites ONNX: Open neural network exchange, 2019.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding ONNX: Open neural network exchange, 2019
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:28.545358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b84cb3ec-0010-460b-a007-edfffe9f8604 · outbound
This paper cites Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Understanding Entropy Coding With Asymmetric Numeral Systems (ANS): a Statistician's Perspective
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:16.426671Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c74d72d4-3de6-4958-b936-3e752748c3cb · outbound
This paper cites Bronstein, and Avi Mendelson.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Bronstein, and Avi Mendelson
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:28.368746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dc197d84-ff2f-4ee5-8f6e-447a5cd3dde0 · outbound
This paper cites NNCodec: An Open Source Software Implementation of the Neural Network Coding ISO/IEC Standard.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding NNCodec: An Open Source Software Implementation of the Neural Network Coding ISO/IEC Standard
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:28.181108Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fcc570e4-20a8-4a20-ac16-835174b597f0 · outbound
This paper cites EfficientQAT: Efficient Quantization-Aware Training for Large Language Models, October 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding EfficientQAT: Efficient Quantization-Aware Training for Large Language Models, October 2024
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:27.999615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 98f4c2c9-2ba9-42fb-823e-77ad995f07db · outbound
This paper cites Bronstein, and Avi Mendelson.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Bronstein, and Avi Mendelson
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:27.831968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ba0676f6-8c18-4488-aa96-6dc25e01e812 · outbound
This paper cites Universal Deep Neural Network Compres- sion.IEEE Journal of Selected Topics in Signal Processing, 14(4):715–726, May 2020.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Universal Deep Neural Network Compres- sion.IEEE Journal of Selected Topics in Signal Processing, 14(4):715–726, May 2020
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:27.628117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2c2e90cb-97c4-455d-b258-6aac7cd8bb31 · outbound
This paper cites Imagenet: A large- scale hierarchical image database.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Imagenet: A large- scale hierarchical image database
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:16.916800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c31a623-0c1b-40ab-8873-f52a6e545d96 · outbound
This paper cites GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale.Neural Information Processing Systems (NeurIPS), January 2022.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding GPT3.int8(): 8-bit Matrix Multiplication for Transformers at Scale.Neural Information Processing Systems (NeurIPS), January 2022
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:27.442812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b61ccbcd-d1ed-45a4-96b9-10487a13ebdc · outbound
This paper cites QLoRA: Efficient Finetuning of Quantized LLMs, May 2023.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding QLoRA: Efficient Finetuning of Quantized LLMs, May 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:27.226382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 08b72a21-f583-4eba-b37f-99687fdc40e1 · outbound
This paper cites Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, and Dan Alistarh.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, and Dan Alistarh
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:27.050348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7cb383c7-385d-49cc-8c08-2913a1704ae8 · outbound
This paper cites The case for 4-bit precision: K-bit Inference Scaling Laws.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding The case for 4-bit precision: K-bit Inference Scaling Laws
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.869093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation efdb50bb-466a-4a36-b625-99f1d7e75c22 · outbound
This paper cites STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs, August 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs, August 2024
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.747986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 50f7a082-196c-4b17-b9ab-92101700f1d1 · outbound
This paper cites The use of asymmetric numeral systems as an accurate replacement for huffman coding.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding The use of asymmetric numeral systems as an accurate replacement for huffman coding
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.630506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 966c4542-3a45-410b-93a2-27b59bc06d25 · outbound
This paper cites Extreme Compression of Large Language Models via Additive Quantization, September 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Extreme Compression of Large Language Models via Additive Quantization, September 2024
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.543235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a7835023-4e6f-4a04-b6a4-30af7208a150 · outbound
This paper cites Optimal Brain Compression: A Framework for Accurate Post- Training Quantization and Pruning.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Optimal Brain Compression: A Framework for Accurate Post- Training Quantization and Pruning
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.389323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 97d2e906-e906-4fd3-a48c-fb5c6128f318 · outbound
This paper cites SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot, March 2023.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot, March 2023
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.279903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 11561f6f-8600-4d3d-bc06-6a2290aac634 · outbound
This paper cites OPTQ: Accurate quan- tization for generative pre-trained transformers.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding OPTQ: Accurate quan- tization for generative pre-trained transformers
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.200374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a0f1d2a1-98dd-4ac6-8a23-f0827d426d36 · outbound
This paper cites Compression Scaling Laws:Unifying Sparsity and Quantization, February 2025.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Compression Scaling Laws:Unifying Sparsity and Quantization, February 2025
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:26.118695Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3805198f-2f45-4af3-a9e4-4bd38bd0eb37 · outbound
This paper cites MiniLLM: Knowledge Distillation of Large Language Models.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding MiniLLM: Knowledge Distillation of Large Language Models
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.979526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e19cf533-d423-479f-9af8-f067ea7af6d8 · outbound
This paper cites an unresolved cited work.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:32:25.863479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 29015da6-6314-4e3e-862d-e23f06486f50 · outbound
This paper cites NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks, October 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks, October 2024
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.743356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b56910ea-1476-4b58-98fd-403b3e979413 · outbound
This paper cites Hassibi, D.G.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Hassibi, D.G
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.630947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c06c72ef-c27c-4b0d-9d36-b769f6272758 · outbound
This paper cites Deep Residual Learning for Image Recognition.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Deep Residual Learning for Image Recognition
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.469500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f52202bb-ac7e-4232-94c8-eca58327caa6 · outbound
This paper cites Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experi- ences.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experi- ences
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.359504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 04780eec-bda4-4ae5-a8b2-4e05c0ba1871 · outbound
This paper cites Mahoney, Yakun Sophia Shao, Kurt Keutzer, and Amir Gholami.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Mahoney, Yakun Sophia Shao, Kurt Keutzer, and Amir Gholami
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.189720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 07cebcb8-7ea8-4c33-a4ed-fc6ea06072be · outbound
This paper cites Le, and Hartwig Adam.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Le, and Hartwig Adam
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:25.077667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9a27fcbb-35a0-41ce-8a89-2b75d6c075cc · outbound
This paper cites Accurate Post Training Quantization With Small Calibration Sets.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Accurate Post Training Quantization With Small Calibration Sets
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.916723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cb6914b4-e72e-44da-912b-88c05c479446 · outbound
This paper cites Mahoney, and Kurt Keutzer.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Mahoney, and Kurt Keutzer
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.770296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7b2c153c-0e14-4d83-8602-23851cdba37d · outbound
This paper cites Aksu, Miska M.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Aksu, Miska M
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.589078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 678cbc9e-cf74-4e3f-9650-dce56d55ccca · outbound
This paper cites Adaptive weight compression for memory-efficient neural networks.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Adaptive weight compression for memory-efficient neural networks
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.467567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0c3747bb-9ab5-48b5-95a3-dcb1e6d96250 · outbound
This paper cites Cifar-10 (canadian institute for advanced research).
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Cifar-10 (canadian institute for advanced research)
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:18.611847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fedf0c03-7b2e-4efa-b589-abb654016c75 · outbound
This paper cites Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Energy-Efficient Model Compression and Splitting for Collaborative Inference Over Time-Varying Channels
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.309768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f19237d7-95f6-4def-ad28-268ca16b2138 · outbound
This paper cites Gonzalez, Hao Zhang, and Ion Stoica.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Gonzalez, Hao Zhang, and Ion Stoica
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:18.725195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49b08133-2996-49c4-9b5a-a3a463600a6f · outbound
This paper cites Memory Efficient Optimizers with 4-bit States.Advances in Neural Information Processing Systems, 36:15136–15171, December 2023.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Memory Efficient Optimizers with 4-bit States.Advances in Neural Information Processing Systems, 36:15136–15171, December 2023
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.193718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ea0ff6d2-256e-4297-bb5e-61e19044e52c · outbound
This paper cites PENNI: Pruned Kernel Sharing for Efficient CNN Inference.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding PENNI: Pruned Kernel Sharing for Efficient CNN Inference
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:24.038562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation acbd46d8-c6fd-4c0b-9d62-f3bfd2794fb1 · outbound
This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration, April 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration, April 2024
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:23.928089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 47fc9a82-5229-4550-931c-928db5094e91 · outbound
This paper cites Cambridge university press, 2003.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Cambridge university press, 2003
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:23.749967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2812bc00-7f8b-45f5-a989-3b49903e3ae6 · outbound
This paper cites Range encoding: an algorithm for removing redundancy from a digitised message.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Range encoding: an algorithm for removing redundancy from a digitised message
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:23.570244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b6c3659e-7fcb-4b0e-baf2-a7b7ec128f50 · outbound
This paper cites Up or Down? Adaptive Rounding for Post-Training Quantization.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Up or Down? Adaptive Rounding for Post-Training Quantization
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:23.422163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 82cadcdb-dc92-4d6c-a9ed-4b73d51897fe · outbound
This paper cites A White Paper on Neural Network Quantization, June 2021.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding A White Paper on Neural Network Quantization, June 2021
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:23.259329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 83cc05eb-0e6b-4970-9389-f3788a22d706 · outbound
This paper cites Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, V olkan Cevher, Yida Wang, and George Karypis.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, V olkan Cevher, Yida Wang, and George Karypis
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:23.089866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0a6ff35c-4c2c-4566-8937-aa287d1d91a3 · outbound
This paper cites PhD thesis, Stanford University CA, 1976.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding PhD thesis, Stanford University CA, 1976
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:22.904461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1bd47c1e-0df3-47ac-8a80-3fd74b0e4fb3 · outbound
This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library, December 2019.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding PyTorch: An Imperative Style, High-Performance Deep Learning Library, December 2019
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:22.735567Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8f6cb52b-a8e6-426b-84ce-e94e6f2d0d79 · outbound
This paper cites Accurate LoRA-Finetuning Quantization of LLMs via Information Retention, May 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Accurate LoRA-Finetuning Quantization of LLMs via Information Retention, May 2024
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:22.532664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d191c42e-5b74-4010-8c30-85b192be3aa7 · outbound
This paper cites Arithmetic coding.IBM Journal of research and development, 23(2):149–162, 1979.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Arithmetic coding.IBM Journal of research and development, 23(2):149–162, 1979
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:22.305396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8e4c1547-574d-463d-8438-b1084a7d111c · outbound
This paper cites an unresolved cited work.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T14:32:22.087711Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6a844d03-f3cc-46d2-b71b-58b23dce5c2c · outbound
This paper cites an unresolved cited work.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Unresolved cited work
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:32:19.697752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfbe890b-d91c-4e24-ab30-706c230288ce · outbound
This paper cites FlexGen: High-Throughput Generative Infer- ence of Large Language Models with a Single GPU.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding FlexGen: High-Throughput Generative Infer- ence of Large Language Models with a Single GPU
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:21.889948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a30e67ad-c023-49aa-b021-828605eae64c · outbound
This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:21.699086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 72310331-4608-482e-aaa2-4249c9bdf1dc · outbound
This paper cites Zico Kolter.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Zico Kolter
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:21.525600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7748fb8f-49b8-4b7e-9827-2715c1895a00 · outbound
This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks, June 2024.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks, June 2024
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:21.316087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation caf8093d-eec4-4c4a-9e22-05a1ea09391a · outbound
This paper cites DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.IEEE Journal of Selected Topics in Signal Processing, 14(4):700–714, May 2020.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding DeepCABAC: A Universal Compression Algorithm for Deep Neural Networks.IEEE Journal of Selected Topics in Signal Processing, 14(4):700–714, May 2020
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:21.114329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 11aceea7-f138-4598-bd53-90a71d68a4c1 · outbound
This paper cites Compact and computationally efficient representation of deep neural networks.IEEE Transactions on Neural Networks and Learning Systems, 31(3):772–785, 2020.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Compact and computationally efficient representation of deep neural networks.IEEE Transactions on Neural Networks and Learning Systems, 31(3):772–785, 2020
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:20.902614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 085bb2b5-222b-4ca7-90dd-5f27afcb3923 · outbound
This paper cites Variational bayesian quantization.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding Variational bayesian quantization
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:20.620742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cc116959-51fc-4bd1-8ffe-bdb6979cacb7 · outbound
This paper cites optimally compensate.
Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding optimally compensate
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:32:20.341654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.