Paper Citation Record · LEDGER

Turning LLM Activations Quantization-Friendly

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.01967.

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

pith.paper-citation-record.v1
2506.01967 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:32:56.683588Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

verified exact0
verified fuzzy14
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2e7f32f6-cba5-46b3-a522-01e5b6694538 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Turning LLM Activations Quantization-Friendly Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.872450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2dfc4879-bdfd-4b6b-b2bc-ec0aeefb4171 · outbound

This paper cites The Llama 3 Herd of Models.

Turning LLM Activations Quantization-Friendly The Llama 3 Herd of Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.622292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d5dcd38-aa94-4e19-ae58-c8821668310e · outbound

This paper cites Training Experimental Language Models with Low Resources, for the Hungar- ian Language,.

Turning LLM Activations Quantization-Friendly Training Experimental Language Models with Low Resources, for the Hungar- ian Language,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.865457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0d46a468-34c4-420c-b632-23ee613e2b85 · outbound

This paper cites Fake News Detection System, based on CBOW and BERT,.

Turning LLM Activations Quantization-Friendly Fake News Detection System, based on CBOW and BERT,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.858045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3e51deb-05d2-4466-9ac0-f62ddba91bcc · outbound

This paper cites Model Compression and Efficient Inference for Large Language Models: A Survey.

Turning LLM Activations Quantization-Friendly Model Compression and Efficient Inference for Large Language Models: A Survey

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.851529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f897c398-904e-43bf-9df3-7e7471abb794 · outbound

This paper cites A Survey on Model Compression for Large Language Models.

Turning LLM Activations Quantization-Friendly A Survey on Model Compression for Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.634579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4169687-6dbf-412c-8aed-f12b99428c6f · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

Turning LLM Activations Quantization-Friendly Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.637871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 134ce228-6141-448e-a9ff-d3842051a427 · outbound

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

Turning LLM Activations Quantization-Friendly LLM.int8(): 8-bit Matrix Multiplication for Transform- ers at Scale,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.844819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de06a502-15b9-491e-a3d8-bf5a8446c865 · outbound

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

Turning LLM Activations Quantization-Friendly SmoothQuant: Accurate and Efficient Post- Training Quantization for Large Language Models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.837793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 469d6fd3-51ab-4d6c-8996-a7e54a8b852c · outbound

This paper cites Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs.

Turning LLM Activations Quantization-Friendly Mitigating Quantization Errors Due to Activation Spikes in GLU-Based LLMs

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.645611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c1cf7b6-4f00-4ac4-afa5-7b54966239f2 · outbound

This paper cites DuQuant: Distribut- ing Outliers via Dual Transformation Makes Stronger Quantized LLMs.

Turning LLM Activations Quantization-Friendly DuQuant: Distribut- ing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.648270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ed7aee6-40e6-4c0c-9e9a-517ce38ae763 · outbound

This paper cites Atom: Low-bit Quantization for Efficient and Accurate LLM Serving.

Turning LLM Activations Quantization-Friendly Atom: Low-bit Quantization for Efficient and Accurate LLM Serving

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.650567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3036aa96-bb40-4787-9a86-9a85be911efa · outbound

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

Turning LLM Activations Quantization-Friendly QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.826893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8a7c6e0f-3921-49d0-b55b-474037d4c74c · outbound

This paper cites OmniQuant: Omnidirectionally calibrated quantization for large lan- guage models,.

Turning LLM Activations Quantization-Friendly OmniQuant: Omnidirectionally calibrated quantization for large lan- guage models,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.819470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a3c0d32-eeb1-4de1-8ce9-5b30cc149329 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

Turning LLM Activations Quantization-Friendly SpinQuant: LLM quantization with learned rotations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.657770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3e73fc-550b-4da5-9c7d-721f549644f3 · outbound

This paper cites SPQR: A sparse-quantized representation for near- lossless llm weight compression,.

Turning LLM Activations Quantization-Friendly SPQR: A sparse-quantized representation for near- lossless llm weight compression,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.805961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9ce304ed-0106-4240-bee4-bf6407268ae8 · outbound

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

Turning LLM Activations Quantization-Friendly SqueezeLLM: Dense-and-Sparse Quantization,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.797424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0733c33f-5d09-4d69-a979-7063aeeb175b · outbound

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

Turning LLM Activations Quantization-Friendly QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.789520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f1e67f2-7ece-485f-a683-d2bb0bb6489c · outbound

This paper cites EfficientQAT: Effi- cient Quantization-Aware Training for Large Language Models.

Turning LLM Activations Quantization-Friendly EfficientQAT: Effi- cient Quantization-Aware Training for Large Language Models

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.779057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2bee141-592a-412a-bb37-e0a4ad81a499 · outbound

This paper cites OPTQ: Accurate quantization for generative pre- trained transformers,.

Turning LLM Activations Quantization-Friendly OPTQ: Accurate quantization for generative pre- trained transformers,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.771360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f05e635b-5436-40eb-9de6-dfb5d3d91b5f · outbound

This paper cites FlatQuant: Flatness Matters for LLM Quantization.

Turning LLM Activations Quantization-Friendly FlatQuant: Flatness Matters for LLM Quantization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.673897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b17f85a-438f-4411-9ec3-2ea19a8556bf · outbound

This paper cites Pointer Sentinel Mixture Models,.

Turning LLM Activations Quantization-Friendly Pointer Sentinel Mixture Models,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.676563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d9f69ee-2caf-4ec3-b936-f28811000039 · outbound

This paper cites Transformers: State- of-the-Art Natural Language Processing,.

Turning LLM Activations Quantization-Friendly Transformers: State- of-the-Art Natural Language Processing,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.678807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93e53699-12ce-4c31-a23e-d7e0ff34bb55 · outbound

This paper cites PyTorch: An im- perative style, high-performance deep learning library,.

Turning LLM Activations Quantization-Friendly PyTorch: An im- perative style, high-performance deep learning library,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:32:56.759750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9aa20d24-86c4-4662-9ab6-b91fb800906c · outbound

This paper cites Mistral 7B.

Turning LLM Activations Quantization-Friendly Mistral 7B

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:32:56.683588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.