Paper Citation Record · LEDGER

Price of metric universality in vector quantization is at most 0.11 bit

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2602.05790.

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

pith.paper-citation-record.v1
2602.05790 v2

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:10:44.036518Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:25:26.862900Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-30T21:35:04.979211Z

Reference resolution

27 of 27 outbound references displayed

verified exact0
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4f62bff6-9c1a-4a4c-9cfd-ef3d41f8566d · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

Price of metric universality in vector quantization is at most 0.11 bit QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.127884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc69f899-c711-44aa-a42d-9d32d6950156 · outbound

This paper cites On lov \'a sz’lattice reduction and the nearest lattice point problem.

Price of metric universality in vector quantization is at most 0.11 bit On lov \'a sz’lattice reduction and the nearest lattice point problem

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.196324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06792d0b-bc54-42e0-a213-4e385e2b8dcb · outbound

This paper cites The lattice geometry of neural network quantization--a short equivalence proof of gptq and babai's algorithm.

Price of metric universality in vector quantization is at most 0.11 bit The lattice geometry of neural network quantization--a short equivalence proof of gptq and babai's algorithm

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.266860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c89d8ff-1c88-4b27-97c0-0a3ecb0a2edd · outbound

This paper cites Half-quadratic quantization of large machine learning models, November 2023.

Price of metric universality in vector quantization is at most 0.11 bit Half-quadratic quantization of large machine learning models, November 2023

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.344664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6ae2ed5-037e-4513-95bc-ff86ef9107fc · outbound

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

Price of metric universality in vector quantization is at most 0.11 bit QuIP: 2-Bit Quantization of Large Language Models With Guarantees

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.398130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4317878c-912d-4b9d-b2e4-968fbb2cf9a4 · outbound

This paper cites WUSH: Near-Optimal Adaptive Transforms for LLM Quantization.

Price of metric universality in vector quantization is at most 0.11 bit WUSH: Near-Optimal Adaptive Transforms for LLM Quantization

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.504220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d23c87a-600e-46ed-ac05-d6ecd780caa3 · outbound

This paper cites Fast quantizing and decoding and algorithms for lattice quantizers and codes.

Price of metric universality in vector quantization is at most 0.11 bit Fast quantizing and decoding and algorithms for lattice quantizers and codes

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.569842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67efbb61-6392-414d-8ec1-1c20f0ef88a9 · outbound

This paper cites The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm.

Price of metric universality in vector quantization is at most 0.11 bit The Geometry of LLM Quantization: GPTQ as Babai's Nearest Plane Algorithm

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.611324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da6b7aef-d9af-46fc-9a1a-292484af2af4 · outbound

This paper cites an unresolved cited work.

Price of metric universality in vector quantization is at most 0.11 bit Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.736296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cdb6287-5e61-40c7-a763-15d0633c2ac0 · outbound

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

Price of metric universality in vector quantization is at most 0.11 bit GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:41.874388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d43ca59-0d24-420e-b0c9-76b5df9414e7 · outbound

This paper cites Vector quantization and signal compression , volume 159.

Price of metric universality in vector quantization is at most 0.11 bit Vector quantization and signal compression , volume 159

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.044382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cef30d5-c022-417b-964e-7b740219d768 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

Price of metric universality in vector quantization is at most 0.11 bit SpinQuant: LLM quantization with learned rotations

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.231360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09f44707-de89-4d78-9f5d-d1f0911baeeb · outbound

This paper cites Wornell, and Ram Zamir.

Price of metric universality in vector quantization is at most 0.11 bit Wornell, and Ram Zamir

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.316280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 098f487c-44b9-4ee7-8b9e-af0ac3764e92 · outbound

This paper cites Pretraining large language models with NVFP4.

Price of metric universality in vector quantization is at most 0.11 bit Pretraining large language models with NVFP4

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.429791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f010f97f-c22d-48f6-bcfb-ffeb706f9b06 · outbound

This paper cites Optimal quantization for matrix multiplication.

Price of metric universality in vector quantization is at most 0.11 bit Optimal quantization for matrix multiplication

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.591052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f6d98ed-e780-4776-9349-02a0708f678c · outbound

This paper cites High-Rate Quantized Matrix Multiplication I.

Price of metric universality in vector quantization is at most 0.11 bit High-Rate Quantized Matrix Multiplication I

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.730330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ee16f05-d472-43aa-ac88-04a3155ff2b0 · outbound

This paper cites OCP microscaling formats ( MX ) specification.

Price of metric universality in vector quantization is at most 0.11 bit OCP microscaling formats ( MX ) specification

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.876947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ed03de-53d9-414e-ac03-fb54dbc9ac55 · outbound

This paper cites New bounds on the density of lattice coverings.

Price of metric universality in vector quantization is at most 0.11 bit New bounds on the density of lattice coverings

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:42.987094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a19a0f0-a425-48e9-ba03-7f78ca65feb9 · outbound

This paper cites Incremental refinement using a gaussian test channel.

Price of metric universality in vector quantization is at most 0.11 bit Incremental refinement using a gaussian test channel

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.096631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0668cfc-4f26-4ffe-a9ff-79c10daf4dc9 · outbound

This paper cites Information theory: From coding to learning.

Price of metric universality in vector quantization is at most 0.11 bit Information theory: From coding to learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.201899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa87b4cd-1a48-401d-bb3a-6b47d236c780 · outbound

This paper cites NestQuant: Nested Lattice Quantization for Matrix Products and LLMs.

Price of metric universality in vector quantization is at most 0.11 bit NestQuant: Nested Lattice Quantization for Matrix Products and LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.267220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29b21c0b-812c-4736-98e7-520c6166b220 · outbound

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

Price of metric universality in vector quantization is at most 0.11 bit QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.337679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72c6a244-9d6b-45b1-8a0c-2af1019fca79 · outbound

This paper cites QTIP: Quantization with Trellises and Incoherence Processing.

Price of metric universality in vector quantization is at most 0.11 bit QTIP: Quantization with Trellises and Incoherence Processing

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.426592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a88437-d021-4df4-89be-964fb58da721 · outbound

This paper cites Model-Preserving Adaptive Rounding.

Price of metric universality in vector quantization is at most 0.11 bit Model-Preserving Adaptive Rounding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.570058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f743ca3e-6e8a-4d90-ae6c-ef47fbb62a9e · outbound

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

Price of metric universality in vector quantization is at most 0.11 bit SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.720124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb41887f-70fd-498e-8b76-140fc4add164 · outbound

This paper cites The rate loss in the wyner-ziv problem.

Price of metric universality in vector quantization is at most 0.11 bit The rate loss in the wyner-ziv problem

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:43.860364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e3a646c-f632-41ea-8b03-9b4814c72eaf · outbound

This paper cites Multiterminal source coding with high resolution.

Price of metric universality in vector quantization is at most 0.11 bit Multiterminal source coding with high resolution

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T04:10:44.036518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 534b9087-c437-449c-8103-64f9796ebae1 · inbound

High-Rate Quantized Matrix Multiplication II cites this paper.

High-Rate Quantized Matrix Multiplication II Price of metric universality in vector quantization is at most 0.11 bit

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-19T17:09:51.143232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 626bde3c-2e81-4a0f-b0f0-e2fe2df91142 · inbound

High-Rate Quantized Matrix Multiplication II cites this paper.

High-Rate Quantized Matrix Multiplication II Price of metric universality in vector quantization is at most 0.11 bit

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-06-30T21:35:04.980874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.