Paper Citation Record · LEDGER

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights

As of 17 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.06763.

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

pith.paper-citation-record.v1
2608.06763 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:37:51.969859Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

verified exact1
verified fuzzy1
unresolved29
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35ddb784-c191-4b63-b602-bd0ac0517b42 · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.543206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8952b72f-b4e2-4d03-87eb-8275e0c51054 · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.530366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbf75246-eb19-4634-b929-6e3dea3213a5 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.874367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02858430-7466-4380-8513-dad4b4f0eaf9 · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.878299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3fc2d1-bb4e-4938-b953-6bbaa027385c · outbound

This paper cites SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.882079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5977e7-6bb8-4793-9324-883c3b0a37db · outbound

This paper cites OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.885673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab3dcfb9-137c-4320-8d73-aaeff59185d1 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights QLoRA: Efficient Finetuning of Quantized LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.889813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7798a314-f5f4-4792-b3e9-94eb94066060 · outbound

This paper cites NF4 Isn't Information Theoretically Optimal (and that's Good).

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights NF4 Isn't Information Theoretically Optimal (and that's Good)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.893158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1416a9ed-452b-45ac-9d02-d784546e38cb · outbound

This paper cites Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.896735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c3b17e-05a4-4c1b-8dba-5d365b6c18f9 · outbound

This paper cites Cook et al.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Cook et al

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.899676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdb6bb5d-f966-4433-9ba1-0d323b787b6f · outbound

This paper cites Elangovan, C.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Elangovan, C

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.902525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 590b14fd-1e57-47f3-837e-22577d86488c · outbound

This paper cites AAAC: Activation-Aware Adaptive Codebooks for 4-bit LLM Weight Quantization.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights AAAC: Activation-Aware Adaptive Codebooks for 4-bit LLM Weight Quantization

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T14:37:52.153508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3c247724-cdf6-4299-851d-c9a240268d3d · outbound

This paper cites FP8 Formats for Deep Learning.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights FP8 Formats for Deep Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.908150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7416f9b-af4f-4111-8886-f14a698dd9e2 · outbound

This paper cites SqueezeLLM: Dense-and-Sparse Quantization.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights SqueezeLLM: Dense-and-Sparse Quantization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.911058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94a4d206-ecce-4dd5-9da6-7fc639909889 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.914357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d3c721-2f17-4c0b-a6ac-4401bff74d62 · outbound

This paper cites Extreme Compression of Large Language Models via Additive Quantization.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Extreme Compression of Large Language Models via Additive Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.917762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfb16197-e846-4ae6-9451-ab02bc3c76a6 · outbound

This paper cites QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.921431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8385ab-6c08-48de-bb60-068aa42be394 · outbound

This paper cites LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.925114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89c1a04a-2a02-425b-887d-10716361de31 · outbound

This paper cites Fast Matrix Multiplications for Lookup Table-Quantized LLMs.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Fast Matrix Multiplications for Lookup Table-Quantized LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.929038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 018de6fc-3bc7-4061-a741-0e320dd5ff01 · outbound

This paper cites MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.932311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d434098f-a569-4f9d-9f0b-aef64c8d30c3 · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.936116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6276d88e-1bee-4694-b241-3aaf305918bf · outbound

This paper cites ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.939462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0adacbf-fd65-45f8-a7b3-5a8d6e1922d4 · outbound

This paper cites QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.942650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3647b336-4397-49b9-b324-839da58f1fa1 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T14:37:51.945821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 140d3f71-4c16-4e20-9abd-ac194f11a5a2 · outbound

This paper cites CUDA Binary Utilities.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights CUDA Binary Utilities

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:37:52.518911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ec69a78-a05c-4d32-94ac-0b6cba3fcf93 · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.508093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 30ec63d6-fbe9-4de1-8147-89ed7525649c · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.496077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 161300db-3004-4dd2-9996-a68f93f55c7f · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.485020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96264e0d-bf53-4bf2-8007-c01b467df09f · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.474176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f31e6b3-42c2-4fc1-a64c-c815e6c727c5 · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.462925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 23fa6840-28b7-467d-8366-51fd919063d3 · outbound

This paper cites an unresolved cited work.

CubicQuant: Parametric Non-Uniform Codebooks for High-Throughput LLM Inference with 1-8-Bit Weights Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:37:52.452149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.