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Paper Citation Record · LEDGER

Low-Rank Correction for Quantized LLMs

As of 14 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2412.07902.

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

pith.paper-citation-record.v1
2412.07902 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:35:26.848054Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

20 of 20 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 72d33dfa-2a35-42bc-bf32-12f393fc2bad · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Low-Rank Correction for Quantized LLMs Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.772510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.772510Z digest=sha256:88f1c9c9c7bb41b2ef401c4e2ac7d08ca869eb072ccc3bfcb44b799e2ab28b09

Observation 20f13938-82ce-4053-8cf0-3c3ab6c6a76f · outbound

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

Low-Rank Correction for Quantized LLMs Extreme Compression of Large Language Models via Additive Quantization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.789525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.789525Z digest=sha256:8bf25ab7c86a0e916c979100a885bb99120994f1dda7724b2e15bfb8c79ca907

Observation ef960fe3-a8a9-4a34-91b0-db14b621e80c · outbound

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

Low-Rank Correction for Quantized LLMs GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.793415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.793415Z digest=sha256:e15cd40fd5d0862a18e0a197b78249ea87aea44077063a2db0d06eba1915faa0

Observation f90c99ab-dc88-489e-b902-cee0e0400f56 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Low-Rank Correction for Quantized LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.797562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.797562Z digest=sha256:e4ee3831ce622a0494f545bbe5e02b2fdc1efd4d37138c2796e8e0c36422c4a8

Observation 4bfc02b8-2457-4587-bdeb-4c0b0f90e1c1 · outbound

This paper cites GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM.

Low-Rank Correction for Quantized LLMs GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.804829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.804829Z digest=sha256:69d98da4c4907ed1dba070487e0ff64040fea7e5a6b4af37e44b68d8557fdfc1

Observation 9ef47f3d-bd8d-427d-9d6b-35d7cf9600d0 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

Low-Rank Correction for Quantized LLMs SpinQuant: LLM quantization with learned rotations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.808479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.808479Z digest=sha256:b66bcec56bb007d4a8114ed5d8c21aef3b188d9b69124d540d41c9a02cf48740

Observation 72936bd6-9e74-44a5-a39e-41b7cd4c47e2 · outbound

This paper cites Compressing Large Language Models using Low Rank and Low Precision Decomposition.

Low-Rank Correction for Quantized LLMs Compressing Large Language Models using Low Rank and Low Precision Decomposition

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.812498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.812498Z digest=sha256:ed9dab6da5b06093f66e5bdd7256b62d90c2e2467efd03995991bd07fb70f48c

Observation 1b9592b8-aedb-4976-9e95-2f7937f4d389 · outbound

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

Low-Rank Correction for Quantized LLMs OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.816591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.816591Z digest=sha256:3feaeb9c064a9958c3a3499a80b8ffbd4682ffdd16ae3ec63a33b1a9020c429c

Observation ece6ac9f-a26a-4754-8d2f-c35e67c3dbb9 · outbound

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

Low-Rank Correction for Quantized LLMs QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.820572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.820572Z digest=sha256:482c3f66f1e94038e92b0b9333305d6bc405c340705c9c9cd0be952dbea56d40

Observation c644b77a-4827-4cdd-9444-e519385911c6 · outbound

This paper cites GPTVQ: The Blessing of Dimensionality for LLM Quantization.

Low-Rank Correction for Quantized LLMs GPTVQ: The Blessing of Dimensionality for LLM Quantization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.824394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.824394Z digest=sha256:a1eed0c6a0f3c242fa38686c5ef86133529ac5c14de90e52af1b5e346fc21cc5

Observation 71fa8a05-7fc1-4b56-8aef-983fb2a79924 · outbound

This paper cites Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases.

Low-Rank Correction for Quantized LLMs Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.828027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.828027Z digest=sha256:d9af95a4282e0050d2c2ee96e58a87e1113fb3f6cd0a4904e1364888ccfa35fd

Observation 6a4966be-da35-4e5f-86cf-3b4b737d178f · outbound

This paper cites LQER: Low-Rank Quantization Error Reconstruction for LLMs.

Low-Rank Correction for Quantized LLMs LQER: Low-Rank Quantization Error Reconstruction for LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.831837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.831837Z digest=sha256:d42be3bb06f3792dec6545f609911f5234a6d199c0082e0025ca8cb3cee53841

Observation fa21f0f8-c6db-4761-944a-c74f65c9f318 · outbound

This paper cites The GPTQ algorithm, introduced by Frantar et al.

Low-Rank Correction for Quantized LLMs The GPTQ algorithm, introduced by Frantar et al

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:35:27.053050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:35:26.836179Z digest=sha256:dfdbf9fe72e31d5cb5958e2703ed2d349e715968e0fd1ef591656e46b8629ec7

Observation 9be4c095-a750-4da2-8d3b-ec1183f8c514 · outbound

This paper cites an unresolved cited work.

Low-Rank Correction for Quantized LLMs Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:35:27.040053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:35:26.840147Z digest=sha256:447892b0b1b857b4d416c2ff3c254f0d706bcbe47297b51d944c4fbb45367597

Observation ba60e19f-ebd9-438b-aec7-f243b13b8301 · outbound

This paper cites an unresolved cited work.

Low-Rank Correction for Quantized LLMs Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:35:27.029799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:35:26.844172Z digest=sha256:89e4b017090e36a7edb7e69dac1e4ec48668f8b240e66fd4935773d324954fd6

Observation 2855cfcf-ce45-41f0-aa98-9e6bf1709869 · outbound

This paper cites an unresolved cited work.

Low-Rank Correction for Quantized LLMs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-11T18:35:27.018798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T18:35:26.848054Z digest=sha256:13c3843221e4270f481fb9be3c23ffaf7aab4733feca2a0bf3775ed8cd0b7e26

Observation 4de12c51-e102-447c-b99d-31ca80acb50b · outbound

This paper cites Mixtral of Experts.

Low-Rank Correction for Quantized LLMs Mixtral of Experts

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.801147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.801147Z digest=sha256:23d81cb570eed7b4721a1bd8826c05beedaa1c0047151b0d6a0549694f8e397f

Observation cda7acf4-402a-42f5-8874-0a0041ce6a45 · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Low-Rank Correction for Quantized LLMs QLoRA: Efficient Finetuning of Quantized LLMs

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.785601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.785601Z digest=sha256:a9fd26e179697f9fbc0fa045d63a19e1fc28b2887d45a1917d5c79d5feeb8e3a

Observation 2673f3ab-f389-44f2-94db-4ca8ba7c61b6 · outbound

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

Low-Rank Correction for Quantized LLMs QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.781280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.781280Z digest=sha256:6b11001ecad3e16e5df757c3fa7f93df4ca554f469bba00d245d15869919a5d4

Observation 245071c1-190e-4867-bc00-ea9f6481d4c4 · outbound

This paper cites QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models.

Low-Rank Correction for Quantized LLMs QUIK: Towards End-to-End 4-Bit Inference on Generative Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T18:35:26.777094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:35:26.777094Z digest=sha256:5a0e5f2b3d23871845df4032c5eb4c3f533609d5685a4e04614bc070ec3f6438

Pith citing papers

No inbound Pith citation observations are available.