Paper Citation Record · LEDGER

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs

As of 7 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 2 inbound Pith citation observations for arXiv:2507.07145.

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

pith.paper-citation-record.v1
2507.07145 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:09:17.207868Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T22:47:05.759610Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:57:38.330281Z

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy1
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14b63c20-00ee-4719-9f00-1a837274a196 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:19.374333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c4ec0cbd-798c-498b-9a9a-b60a85129b25 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:19.206969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9deb25dd-c87a-4468-a777-d463f2602396 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:19.030469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51b50d50-42dc-4982-911c-f53c11778c88 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:13.128489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 708ae7b6-e54f-4805-ba43-fc947daad4e2 · outbound

This paper cites DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:13.415886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2441ab2-3498-49a2-b5ac-13ea8d13180f · outbound

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

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Extreme Compression of Large Language Models via Additive Quantization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:13.539493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b4d9949-42b7-4f61-9706-af9bd82a2ff2 · outbound

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

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:13.658735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d207383a-1172-4363-8e37-6310c3210b93 · outbound

This paper cites The Llama 3 Herd of Models.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs The Llama 3 Herd of Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:13.805539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1e03642-63cd-48bf-aba6-a0a668cfca47 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:18.903159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2cd9f988-21cb-4584-b7ac-5f968dd601fd · outbound

This paper cites Gray and David L.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Gray and David L

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:09:18.735412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 52336b97-b442-4e3b-a8df-ad39e59ec8fd · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:14.221511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4829414d-7be9-47b4-9846-b91a138d227f · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:18.562284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7075158b-0617-43fb-8979-bba0aa4ed09d · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:14.456598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14813428-cb77-415d-9713-4f4d6f3f670b · outbound

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

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs SqueezeLLM: Dense-and-Sparse Quantization

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:14.550295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2c64683-0130-4245-89f9-f009653aa16d · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Gonzalez, Hao Zhang, and Ion Stoica

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:14.678988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c9c9144-1e9a-43b3-b9f8-ead152f424c8 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:14.783425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28ec7371-2137-4ba6-ab17-ce307adb0be9 · outbound

This paper cites GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:14.944813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d718d62-d47f-437b-9ca0-44fc2781f93c · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.072225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf2de7b2-bf61-48df-87a1-4fbdc27bd79b · outbound

This paper cites DeepSeek-V3 Technical Report.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs DeepSeek-V3 Technical Report

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.202439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 651510c7-f053-4b8d-a861-bca739c13eaa · outbound

This paper cites VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.339967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e182b3-3f62-43ad-a85b-9b4b60d23d5c · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.456220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e11d7ebf-ad35-46e8-b83b-6e6e0e7afb57 · outbound

This paper cites KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.612246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e152096-429f-407e-a889-11a15f1decf7 · outbound

This paper cites PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.725978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7619b8f7-de18-48de-834b-aebcfddc8a0a · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:18.376825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e0187db-8278-41e5-a27b-5244df8b9c57 · outbound

This paper cites MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.867188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514785f6-3676-4f0a-837f-ec11753a5c96 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:15.947268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90d31e21-942f-4bbe-a86c-ce80640bcbad · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:09:18.211560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 844df51a-8dcc-4883-97e2-cff04b4e25a6 · outbound

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

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.104514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14643411-d717-4f2b-865f-1e77d05e16e6 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.172716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a125a0b-1da2-499f-9967-609e08831712 · outbound

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

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs GPTVQ: The Blessing of Dimensionality for LLM Quantization

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.255194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.

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 2b1a711b-f56c-4f39-ba0d-aa9fd0ccd6d5 · outbound

This paper cites CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.450823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec343832-99a7-42c9-abff-106eb6741309 · outbound

This paper cites an unresolved cited work.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.529853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7415f28-0d79-4155-a9b3-bf1fa81e3d9f · outbound

This paper cites OneBit: Towards Extremely Low-bit Large Language Models.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs OneBit: Towards Extremely Low-bit Large Language Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.636435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 347ac852-7bf1-46bc-942b-21eef900b8c5 · outbound

This paper cites Qwen3 Technical Report.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Qwen3 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.740132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b517bf6-9853-4281-b76f-901aafddcbc8 · outbound

This paper cites Qwen2 Technical Report.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Qwen2 Technical Report

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:16.889877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef89513c-90db-42e1-bc68-680dad0b4532 · outbound

This paper cites Qwen2.5 Technical Report.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs Qwen2.5 Technical Report

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:17.004127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28fb5980-f9e9-4941-af17-81ce411a7a1f · outbound

This paper cites online" 'onlinestring :=.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs online" 'onlinestring :=

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:17.091141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04f9e3bf-b5df-4a19-8831-cebf0749d5ba · outbound

This paper cites write newline.

CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs write newline

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T19:09:17.207868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ac703c6c-393c-4c3c-bea2-82529cbb6db5 · inbound

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization cites this paper.

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:57:38.331678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 291b7156-4a4c-43fc-ab4e-2557744742a2 · inbound

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization cites this paper.

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization CCQ: Convolutional Code for Extreme Low-bit Quantization in LLMs

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:47:25.261681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.