Paper Citation Record · LEDGER

BitNet: Scaling 1-bit Transformers for Large Language Models

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 78 inbound Pith citation observations for arXiv:2310.11453.

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

pith.paper-citation-record.v1
2310.11453 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-24T05:41:15.544164Z

measured 98 of 98 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 78 of 78 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:39:36.710683Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

20 of 20 outbound references displayed

verified exact9
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

26
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation d117de25-16a6-4bea-8593-3a6417169903 · outbound

This paper cites PaLM 2 Technical Report.

BitNet: Scaling 1-bit Transformers for Large Language Models PaLM 2 Technical Report

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T05:43:56.582578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 879df1de-162d-44e7-960e-94a8aa05bce1 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

BitNet: Scaling 1-bit Transformers for Large Language Models Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.578008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 79313ec0-d7fa-4757-ac64-1b3d9a7c0b51 · outbound

This paper cites XNOR-Net++: improved binary neural networks.

BitNet: Scaling 1-bit Transformers for Large Language Models XNOR-Net++: improved binary neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T05:46:01.313095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38b35aa6-fd58-4bd0-befd-ecc9c1cc7451 · outbound

This paper cites QuIP: 2-Bit Quantization of Large Language Models With Guarantees.

BitNet: Scaling 1-bit Transformers for Large Language Models QuIP: 2-Bit Quantization of Large Language Models With Guarantees

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:43:56.573108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b90303a1-a5a3-41f8-a580-5c162d608a11 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

BitNet: Scaling 1-bit Transformers for Large Language Models PaLM: Scaling Language Modeling with Pathways

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.616667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e217fa2-b915-4ab1-80d3-5701da38f2ac · outbound

This paper cites FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning.

BitNet: Scaling 1-bit Transformers for Large Language Models FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.597615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b76660d8-9d32-4a5a-8395-61918991be23 · outbound

This paper cites Training Compute-Optimal Large Language Models.

BitNet: Scaling 1-bit Transformers for Large Language Models Training Compute-Optimal Large Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T05:43:56.559339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 762a5256-8426-4f67-aefe-98588ad40b67 · outbound

This paper cites Scaling Laws for Autoregressive Generative Modeling.

BitNet: Scaling 1-bit Transformers for Large Language Models Scaling Laws for Autoregressive Generative Modeling

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T05:43:56.611684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e3df615d-ccb1-4367-8b06-e53bdc2c71fd · outbound

This paper cites 1.1 computing’s energy problem (and what we can do about it).

BitNet: Scaling 1-bit Transformers for Large Language Models 1.1 computing’s energy problem (and what we can do about it)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T05:46:01.303686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 665176a4-5f7a-4b2f-931c-f9f496fa5204 · outbound

This paper cites Scaling Laws for Neural Language Models.

BitNet: Scaling 1-bit Transformers for Large Language Models Scaling Laws for Neural Language Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T05:43:56.566258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c94fd3d4-f8ca-4fb9-b4c2-e7ae7eb89fa6 · outbound

This paper cites Fast inference from transformers via speculative decoding.

BitNet: Scaling 1-bit Transformers for Large Language Models Fast inference from transformers via speculative decoding

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T05:46:01.306632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0de4a86-1266-4bf9-b865-b5945dc80294 · outbound

This paper cites How do adam and training strategies help bnns optimization.

BitNet: Scaling 1-bit Transformers for Large Language Models How do adam and training strategies help bnns optimization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T05:46:01.309736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 09fb1cc6-ae5d-4c37-90ce-b93ae0d45776 · outbound

This paper cites A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories.

BitNet: Scaling 1-bit Transformers for Large Language Models A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.554542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 275a1185-5e5e-4637-86f2-187e240597cc · outbound

This paper cites GPT-4 Technical Report.

BitNet: Scaling 1-bit Transformers for Large Language Models GPT-4 Technical Report

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.602370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 71eb0375-9d2a-4f26-9320-524a3129f3b4 · outbound

This paper cites XNOR-Net: imagenet classification using binary convolutional neural networks.

BitNet: Scaling 1-bit Transformers for Large Language Models XNOR-Net: imagenet classification using binary convolutional neural networks

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T05:46:01.300844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a04fcf6-8bc0-4098-ae6a-9d3ed5b5d8f6 · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

BitNet: Scaling 1-bit Transformers for Large Language Models Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.587719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd2d8663-1027-468e-a0d3-1b28cffbea3e · outbound

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

BitNet: Scaling 1-bit Transformers for Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.606858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 160bcbd3-a855-4031-8923-bc1e7e469c9a · outbound

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

BitNet: Scaling 1-bit Transformers for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-24T05:43:56.592548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d944d78-0ad6-411f-9de3-1062c8831416 · outbound

This paper cites SmoothQuant: accurate and efficient post-training quantization for large language models.

BitNet: Scaling 1-bit Transformers for Large Language Models SmoothQuant: accurate and efficient post-training quantization for large language models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-24T05:46:01.294902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2a778ac3-69da-4d1a-a120-a027d986017d · outbound

This paper cites an unresolved cited work.

BitNet: Scaling 1-bit Transformers for Large Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-05-24T05:46:01.297872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation 21ee2189-913e-44dd-a16b-bdbb9b3e81bd · inbound

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits cites this paper.

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-17T20:11:43.609612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation af450a87-0dfe-4d07-b105-fa4e0b0ea00e · inbound

1.58-bit FLUX cites this paper.

1.58-bit FLUX BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T04:39:36.710683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d7ec4a9-fa84-4bd3-b985-0510a7e818da · inbound

LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction cites this paper.

LogicAD: Explainable Anomaly Detection via VLM-based Text Feature Extraction BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T22:25:00.424379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd5792ab-8f03-4ca8-816f-b9a23f5f0670 · inbound

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator cites this paper.

LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T19:08:08.073599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9801e0f9-f370-4ab9-8502-2ca936aed9eb · inbound

Irrational Complex Rotations Empower Low-bit Optimizers cites this paper.

Irrational Complex Rotations Empower Low-bit Optimizers BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:47.269829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b5d7a9-23b7-42db-adfc-4e5327ba1882 · inbound

iServe: An Intent-based Serving System for LLMs cites this paper.

iServe: An Intent-based Serving System for LLMs BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 114

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:14.512077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5175669-0060-4dd6-a9c9-57ea1796f11c · inbound

From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning cites this paper.

From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 1971

Resolution: unresolved; no resolver link, observed 2026-08-09T21:34:28.369362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cf4885f-e370-47c6-8f1b-b1d570fd23f4 · inbound

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study cites this paper.

Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T15:08:46.271717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41190357-c3f6-47f7-829e-4829ddf01ad5 · inbound

DarwinLM: Evolutionary Structured Pruning of Large Language Models cites this paper.

DarwinLM: Evolutionary Structured Pruning of Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T11:39:09.562177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 668a0d09-bbdc-4015-9201-0cc2a57da9af · inbound

Low-Resolution Neural Networks cites this paper.

Low-Resolution Neural Networks BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T23:43:16.723562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6f92948-14c0-4486-bad2-59d166cd2bf8 · inbound

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices cites this paper.

Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 171

Resolution: verified exact; local_arxiv, observed 2026-05-23T01:05:16.407838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0a3287c9-08c5-4d5d-a841-4c814fd7ab59 · inbound

How to keep pushing ML accelerator performance? Know your rooflines! cites this paper.

How to keep pushing ML accelerator performance? Know your rooflines! BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:29.752659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87270417-b027-4778-91be-96be6f139905 · inbound

FP4 All the Way: Fully Quantized Training of LLMs cites this paper.

FP4 All the Way: Fully Quantized Training of LLMs BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:39.407120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aa75516-0fdf-498d-9b6a-66664289a1ce · inbound

Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision cites this paper.

Towards One-bit ASR: Extremely Low-bit Conformer Quantization Using Co-training and Stochastic Precision BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:44:20.391763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f11806a-12ef-4267-b70c-393e19eebf77 · inbound

Highly Efficient and Effective LLMs with Multi-Boolean Architectures cites this paper.

Highly Efficient and Effective LLMs with Multi-Boolean Architectures BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-19T12:42:18.461706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1e695579-b066-4979-a643-dd4e8e27e1b1 · inbound

ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory based Ternary LLMs cites this paper.

ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory based Ternary LLMs BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:45.488313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b01f8e91-e75b-42df-9030-4c1bb95b2a43 · inbound

BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing cites this paper.

BitTTS: Highly Compact Text-to-Speech Using 1.58-bit Quantization and Weight Indexing BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:15.932038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4638107-943c-4efa-842d-ece7443e4e08 · inbound

BAQ: Efficient Bit Allocation Quantization for Large Language Models cites this paper.

BAQ: Efficient Bit Allocation Quantization for Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:51.557589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3b0c243-0bbb-408e-9f43-da719fad6c0c · inbound

MiniCPM4: Ultra-Efficient LLMs on End Devices cites this paper.

MiniCPM4: Ultra-Efficient LLMs on End Devices BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T05:31:21.594653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c0a36d7-c372-47c7-a414-61cd1f398242 · inbound

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook cites this paper.

BTC-LLM: Efficient Sub-1-Bit LLM Quantization via Learnable Transformation and Binary Codebook BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-05-19T14:07:20.565116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f37302c6-31ab-4993-b7be-c8eaab8c52e0 · inbound

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models cites this paper.

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:58:36.149982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1f19044-b3b0-4588-b17b-4f98a31f9d69 · inbound

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs cites this paper.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.341546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6dc9367d-4cfa-40b8-b7ef-7d294fe8457d · inbound

GeLaCo: An Evolutionary Approach to Layer Compression cites this paper.

GeLaCo: An Evolutionary Approach to Layer Compression BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T17:45:20.875360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d024d7-449b-4378-a1f3-7b047e0b37db · inbound

A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks cites this paper.

A Lower Bound for the Number of Linear Regions of Ternary ReLU Regression Neural Networks BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-19T03:32:01.744311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 369cf59f-9690-49ab-ba93-5bcc530daa02 · inbound

Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings cites this paper.

Evolutionary Feature-wise Thresholding for Binary Representation of NLP Embeddings BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:01:33.356824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4f796b-ec81-45e0-93e2-938f5161f25c · inbound

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference cites this paper.

DeltaLLM: A Training-Free Framework Exploiting Temporal Sparsity for Efficient Edge LLM Inference BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T14:17:45.429662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705b42e2-a142-4ff5-994c-b1fc13a29a1e · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-21T23:44:26.512528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 64b701fa-203f-4860-86af-cb433ba3e196 · inbound

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration cites this paper.

APT-LLM: Exploiting Arbitrary-Precision Tensor Core Computing for LLM Acceleration BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-05T16:03:37.480444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175fea6a-4451-4bc5-8904-8290ced42696 · inbound

Latent-Space Mean-Field Theory for Deep BitNet-like Training: Constrained Gradient Flows with Smooth Quantization and STE Limits cites this paper.

Latent-Space Mean-Field Theory for Deep BitNet-like Training: Constrained Gradient Flows with Smooth Quantization and STE Limits BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T14:11:15.516591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f68407fc-0970-4982-8aff-875ce0a25f00 · inbound

LiquidGEMM: Hardware-Efficient W4A8 GEMM Kernel for High-Performance LLM Serving cites this paper.

LiquidGEMM: Hardware-Efficient W4A8 GEMM Kernel for High-Performance LLM Serving BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T12:51:01.198277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed1deaf-5064-4ab3-b15f-7f429891aa37 · inbound

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device cites this paper.

Characterizing and Optimizing Realistic Workloads on a Commercial Compute-in-SRAM Device BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T05:29:45.478136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6818774-47f7-48f3-8da5-84e2c8644052 · inbound

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models cites this paper.

ENSI: Efficient Non-Interactive Secure Inference for Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T19:10:41.617689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff312cec-fd06-493d-97eb-e4020cebb7d8 · inbound

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey cites this paper.

Efficient Vision-Language-Action Models for Embodied Manipulation: A Systematic Survey BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:17.694849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83484118-23ff-4bb0-8dde-15cc42d49814 · inbound

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices cites this paper.

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:48:45.813379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 979363b4-6b0b-439d-8b5d-23e60510d717 · inbound

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:20.081805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca5d8497-f10a-49af-a954-0ae7a44ba11b · inbound

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models cites this paper.

Rethinking Output Alignment For 1-bit Post-Training Quantization of Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-21T16:44:16.077956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dd4ea50b-8791-45ab-b968-84992d1d78fe · inbound

Harmonia: Algorithm-Hardware Co-Design for Memory- and Compute-Efficient BFP-based LLM Inference cites this paper.

Harmonia: Algorithm-Hardware Co-Design for Memory- and Compute-Efficient BFP-based LLM Inference BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:37:25.885711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c58879fa-939c-45d7-b29c-bee15397dba1 · inbound

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers cites this paper.

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:40:43.974197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aa525f41-afaf-4517-863d-cf7d43e601e2 · inbound

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs cites this paper.

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:37:28.955745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 88dc9324-8f25-4ce8-b0ed-f87906858bc5 · inbound

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI cites this paper.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-15T09:09:53.214300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 797dfa24-425e-4683-a13e-1a41cba80de1 · inbound

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI cites this paper.

Adaptive Domain Models: Bayesian Evolution, Warm Rotation, and Principled Training for Geometric and Neuromorphic AI BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T23:03:58.008815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c7f6585-7cd3-4253-9d09-0bb7edef8e23 · inbound

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design cites this paper.

BWTA: Accurate and Efficient Binarized Transformer by Algorithm-Hardware Co-design BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:28:02.189572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 78db408b-f14e-4e85-8158-3dd1ee08552e · inbound

STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training cites this paper.

STQuant: Spatio-Temporal Adaptive Framework for Optimizer Quantization in Large Multimodal Model Training BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:50:57.060744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4a821fce-7bb2-4b57-bf3b-33109f020004 · inbound

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models cites this paper.

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:30:58.344811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 014cca3c-90ef-4485-8e3f-d52726490bc1 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-10T05:36:02.329071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9d272fa8-4a25-4d1c-9009-cb833c86da94 · inbound

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling cites this paper.

GSQ: Highly-Accurate Low-Precision Scalar Quantization for LLMs via Gumbel-Softmax Sampling BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-05-19T18:02:42.190801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 138ccd32-2240-4867-a5f9-ac291ce8378a · inbound

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation cites this paper.

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:04.602074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c2b980d5-62cc-403d-bb0a-5ff3d635688c · inbound

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment cites this paper.

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:46:42.461925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d680d50c-c3e8-4e94-b8b5-9ea9acf22dbf · inbound

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models cites this paper.

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:11:08.781913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef8122df-6ac1-4474-81b6-fa9f0e0fdb49 · inbound

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models cites this paper.

Litespark Inference For CPUs: Ultra-Fast SIMD Framework for Ternary (1.58-bit) Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T13:25:46.093604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bad0043-39d8-490c-99f5-d6acd3a216fe · inbound

LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss cites this paper.

LAQuant: A Simple Overhead-free Large Reasoning Model Quantization by Layer-wise Lookahead Loss BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:16:29.974116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 530b75a1-e91d-4d67-8bb1-f102b15770d0 · inbound

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation cites this paper.

AtteConDA: Attention-Based Conflict Suppression in Multi-Condition Diffusion Models and Synthetic Data Augmentation BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:26.202596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e706d0d4-37fd-4cc7-a7a2-e61f43a52145 · inbound

A Composite Activation Function for Learning Stable Binary Representations cites this paper.

A Composite Activation Function for Learning Stable Binary Representations BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:07:07.901449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d2c493ad-79dd-4af3-a384-2ccffa38fe3c · inbound

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation cites this paper.

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:15:11.771153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e5b61e7b-8026-4c81-9064-08b3d4a162c9 · inbound

Lever: Speculative LLM Inference on Smartphones cites this paper.

Lever: Speculative LLM Inference on Smartphones BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-19T21:47:48.486580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b850bf47-6eed-4ef3-ae19-5290f27c210c · inbound

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points cites this paper.

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-05-20T14:53:31.637256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dbb42221-65dc-4b4f-98d1-7a40fe3a37d3 · inbound

A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization cites this paper.

A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-20T13:08:17.777672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 55f6b5ce-7208-4be8-a5a6-a36e488de98f · inbound

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning cites this paper.

Signs Beat Floats: Low-Rank Double-Binary Adaptation for On-Device Fine-Tuning BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-06-30T15:54:49.327904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6f669e45-1c0c-4817-8370-1cd617991647 · inbound

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture cites this paper.

EVA: Accelerating LLM Decoding via an Efficient Vector Quantization Architecture BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-06-30T14:44:45.582845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ba5c6e62-e1fd-4e4c-b998-92f64400d022 · inbound

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization cites this paper.

Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T12:14:39.030087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6bb27f9b-de85-411f-8d81-142b26c79676 · inbound

Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training cites this paper.

Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T23:14:01.510152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2f929f48-9586-4cef-8211-8c1100ab4692 · inbound

GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization cites this paper.

GoQuant: Geometric Orthogonal Residual Projection for Multiplier-Free Power-of-Two Transformer Quantization BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:24:00.709438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c5cd62bc-c4e0-4704-aab8-9e5f871695fa · inbound

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 cites this paper.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:05:37.124870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d87e3c09-3474-408f-9a50-b08056c78e34 · inbound

From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions cites this paper.

From Memorization to Creation: Evaluating the Cognitive Depth of LLM-Generated Educational Questions BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-07-01T13:15:45.719556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a5242b26-efc6-4d13-8243-0b426271732b · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-07-04T20:00:08.931745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9a8a2b89-6783-4bfc-8152-2bd3622b6702 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T10:15:53.861297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e37ee72-003c-49c9-95b0-c9a8879f2fff · inbound

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks cites this paper.

Layerwise Progressive Freezing: A Training Scaffold for Depth-Scalable Binary Networks BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-06-29T05:13:06.438130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a938dd76-9e7a-4734-8305-a0b0382df0da · inbound

Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models cites this paper.

Variable Bit-width Quantization: Learning Per-Group Precision for "Bigger-but-Smaller" Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T06:20:07.112455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfe9c772-00d1-44d0-a100-e8d2291a6647 · inbound

ELiTeFormer: An Efficient Transformer for FPGAs cites this paper.

ELiTeFormer: An Efficient Transformer for FPGAs BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T00:55:09.690245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c38c4cb-ac0a-4152-88e8-bb635051e773 · inbound

EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion cites this paper.

EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-08T13:04:56.647182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 76f403ad-57b6-4908-83fe-b848d56cd727 · inbound

ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level cites this paper.

ExTernD: Expanded-Rank Ternary Decomposition Ternary LLM PTQ with Accuracy Approaching Any Quantization Level BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T05:02:32.401384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994d6475-6180-442b-8d20-37997f46b20a · inbound

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM cites this paper.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T01:37:48.534738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d625a9-23ef-48cf-93ad-4ed24f282cd6 · inbound

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models cites this paper.

Cross-Layer Error Compensation and Finite-Sample Feature-Statistics Matching for Extreme Low-Bit Quantization of Large Language Models BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T01:35:43.133161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e10248-eb2f-44c7-979b-e0324383394c · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T07:51:22.169971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04547caf-33d9-435d-bb32-145bd0ae45c8 · inbound

Studying quantization trade-offs for efficient inference deployment in machine translation cites this paper.

Studying quantization trade-offs for efficient inference deployment in machine translation BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T04:25:22.032406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8992d22e-b04f-4fd1-a3ec-189b0ac6bcd7 · inbound

Virtues and Vices of Equivariant Transformers cites this paper.

Virtues and Vices of Equivariant Transformers BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T00:13:50.303135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ef30cd-f3af-4ebe-af1b-46baba5b0803 · inbound

One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization cites this paper.

One Qubit Can Beat One Bit: Quantum Advantage for Post-Training Quantization BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-08T17:34:28.081712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d81dd6-1a6f-458a-91d8-0c0eb459dba6 · inbound

TensorCast: The Missing Tensor Management Layer in Large Language Model Infrastructure cites this paper.

TensorCast: The Missing Tensor Management Layer in Large Language Model Infrastructure BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T18:23:08.539810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.