Paper Citation Record · LEDGER

On the Expressive Power of Weight Quantization in Large Language Models

As of 4 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2606.22249.

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

pith.paper-citation-record.v1
2606.22249 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:53:45.787243Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

48 of 48 outbound references displayed

verified exact21
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e271f9e-50d0-4af5-a17b-57f97b8d4d37 · outbound

This paper cites Feed-Forward Neural Networks as a Mixed-Integer Program.

On the Expressive Power of Weight Quantization in Large Language Models Feed-Forward Neural Networks as a Mixed-Integer Program

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.263876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a54dd770-5431-473f-bbb8-3529846b265a · outbound

This paper cites Llama 3 model card.

On the Expressive Power of Weight Quantization in Large Language Models Llama 3 model card

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d5cf53f-2d53-4d4f-8f3a-f257680c1f7b · outbound

This paper cites The High-Dimensional Geometry of Binary Neural Networks.

On the Expressive Power of Weight Quantization in Large Language Models The High-Dimensional Geometry of Binary Neural Networks

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.230870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d26275e2-b4eb-46ac-9aa8-74a6dabbb1e7 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d449f83-ee96-45a3-8a48-7395b4a43b84 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

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Observation 3749d258-689c-4f8c-8404-86bd06619706 · outbound

This paper cites Chatterjee and L.

On the Expressive Power of Weight Quantization in Large Language Models Chatterjee and L

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 899af368-c482-4e2e-b0e4-7bdf79aa79e7 · outbound

This paper cites Efficient Ternary Weight Embedding Model: Bridging Scalability and Performance.

On the Expressive Power of Weight Quantization in Large Language Models Efficient Ternary Weight Embedding Model: Bridging Scalability and Performance

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.255237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 16567312-93c0-4f17-beac-fde61d522096 · outbound

This paper cites Cheng, T.

On the Expressive Power of Weight Quantization in Large Language Models Cheng, T

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ecce3d5-e3bf-4e00-bdf3-dbf5e95e6620 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

On the Expressive Power of Weight Quantization in Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.247179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 9fe9faea-fc0d-4ae9-b494-a391343da4f1 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

On the Expressive Power of Weight Quantization in Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.274922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7fef6751-6aca-4b96-a3c1-ac3431472dfb · outbound

This paper cites Courbariaux, Y.

On the Expressive Power of Weight Quantization in Large Language Models Courbariaux, Y

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f18ed3-7b6f-4c26-bc45-77d66d6b45f1 · outbound

This paper cites Courbariaux, Y.

On the Expressive Power of Weight Quantization in Large Language Models Courbariaux, Y

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80ed45bb-e4f9-46c0-a58b-5b04196f6926 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed4e206b-1e2c-413a-8994-63f955198ac4 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77947d34-ba98-4087-93dd-ceac11290e4e · outbound

This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.

On the Expressive Power of Weight Quantization in Large Language Models A Survey of Quantization Methods for Efficient Neural Network Inference

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.272097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 02588e55-9fd7-4b5f-91a8-9098f509d5d1 · outbound

This paper cites Gonon, N.

On the Expressive Power of Weight Quantization in Large Language Models Gonon, N

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f004310e-226c-47f8-b03f-d9cf0f7764bf · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 050503bd-13f0-4104-bfac-2d5ee821281e · outbound

This paper cites A Survey on Methods and Theories of Quantized Neural Networks.

On the Expressive Power of Weight Quantization in Large Language Models A Survey on Methods and Theories of Quantized Neural Networks

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.223609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c6e8a90c-ce4d-4e7f-8451-5cf7b360558a · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ff95029-73d6-4d5c-a4e3-283fc0e896b1 · outbound

This paper cites Hornik, M.

On the Expressive Power of Weight Quantization in Large Language Models Hornik, M

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f02bf457-647d-4dd9-af20-23e871867cbb · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e204325-71e2-4c23-b4ad-8f4ce42b9563 · outbound

This paper cites SqueezeNext: Hardware-Aware Neural Network Design.

On the Expressive Power of Weight Quantization in Large Language Models SqueezeNext: Hardware-Aware Neural Network Design

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.240814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e36ae29e-df9b-45d4-a06e-b512fbcb3a9c · outbound

This paper cites Kidger and T.

On the Expressive Power of Weight Quantization in Large Language Models Kidger and T

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe4ff7cd-ee66-4af0-a606-50be94046415 · outbound

This paper cites Ternary Weight Networks.

On the Expressive Power of Weight Quantization in Large Language Models Ternary Weight Networks

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.233326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 187a58d0-fae1-44f3-b0ab-f5fad76ae35f · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c9714d8-5af6-46b3-8cb6-4e0d3cca6ce8 · outbound

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

On the Expressive Power of Weight Quantization in Large Language Models LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.249942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7fe7958a-4095-445b-8d0d-335f29c4f7db · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90b80846-5eed-4b96-b114-e8fd575cd095 · outbound

This paper cites Decoupled Weight Decay Regularization.

On the Expressive Power of Weight Quantization in Large Language Models Decoupled Weight Decay Regularization

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.238240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1cd36aae-01a8-494d-892b-2e82291d14f6 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47772374-55fd-4580-80a3-3d1f7446500b · outbound

This paper cites BitNet b1.58 2B4T Technical Report.

On the Expressive Power of Weight Quantization in Large Language Models BitNet b1.58 2B4T Technical Report

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.226259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f57dbb86-96c3-4656-81a9-26739e71a56d · outbound

This paper cites Pointer Sentinel Mixture Models.

On the Expressive Power of Weight Quantization in Large Language Models Pointer Sentinel Mixture Models

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.266628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fbbbe300-1f5c-4683-ac00-fd80974959d8 · outbound

This paper cites Mertens and A.

On the Expressive Power of Weight Quantization in Large Language Models Mertens and A

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff6e8f0d-b195-4b1e-b832-a157c11abba1 · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

On the Expressive Power of Weight Quantization in Large Language Models Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.221076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 15fb61d1-308b-4cc1-aa01-cebb11a8ea88 · outbound

This paper cites Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens.

On the Expressive Power of Weight Quantization in Large Language Models Low-Bit Quantization Favors Undertrained LLMs: Scaling Laws for Quantized LLMs with 100T Training Tokens

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.243529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 8a03c482-e816-4bd3-aa73-a4147383255f · outbound

This paper cites Sakaguchi, R.

On the Expressive Power of Weight Quantization in Large Language Models Sakaguchi, R

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45e5dd1b-4e88-4052-8ce8-0dd9f066bc6f · outbound

This paper cites SocialIQA: Commonsense Reasoning about Social Interactions.

On the Expressive Power of Weight Quantization in Large Language Models SocialIQA: Commonsense Reasoning about Social Interactions

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.228528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ef68e3e1-26fc-4a76-955e-4508fd7b56b8 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ff50adf-eba7-4f6e-8dbe-1516f0eefa0d · outbound

This paper cites Szegedy, V.

On the Expressive Power of Weight Quantization in Large Language Models Szegedy, V

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eb5187d-17e9-4869-ac5c-0c22bb79402d · outbound

This paper cites Vaswani, N.

On the Expressive Power of Weight Quantization in Large Language Models Vaswani, N

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5e44dd5-6223-47a1-b24e-ac5322fa7334 · outbound

This paper cites Voigtlaender.

On the Expressive Power of Weight Quantization in Large Language Models Voigtlaender

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc6fd2e5-59e8-46a6-82b8-e9fe53d76d4e · outbound

This paper cites Bitnet distillation.arXiv preprint arXiv:2510.13998, 2025.

On the Expressive Power of Weight Quantization in Large Language Models Bitnet distillation.arXiv preprint arXiv:2510.13998, 2025

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.252565Z

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No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dbb6e93e-96d8-41b0-b2c4-f3ca46222aa9 · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06f545f-b4e5-46bb-8aed-33ee6f4a5e25 · outbound

This paper cites Universal Approximation Theorems of Fully Connected Binarized Neural Networks.

On the Expressive Power of Weight Quantization in Large Language Models Universal Approximation Theorems of Fully Connected Binarized Neural Networks

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.258016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f5e06067-afb9-4417-9337-93718717745d · outbound

This paper cites an unresolved cited work.

On the Expressive Power of Weight Quantization in Large Language Models Unresolved cited work

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a3ace8-852b-408e-9561-6cc0635c6b1b · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

On the Expressive Power of Weight Quantization in Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.235777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5700b27d-1c9d-4259-9c09-2ceb0d9b45c8 · outbound

This paper cites TernaryCLIP: Efficiently compressing vision-language models with ternary weights and distilled knowledge.

On the Expressive Power of Weight Quantization in Large Language Models TernaryCLIP: Efficiently compressing vision-language models with ternary weights and distilled knowledge

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.260813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e4e65ffa-f404-4534-95a7-bbf458bb2681 · outbound

This paper cites Zhang and Z.-H.

On the Expressive Power of Weight Quantization in Large Language Models Zhang and Z.-H

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-26T11:53:45.787243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f78f110-8059-4e9b-aeea-4979af43776c · outbound

This paper cites Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights.

On the Expressive Power of Weight Quantization in Large Language Models Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:19:44.269324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

No inbound Pith citation observations are available.