Paper Citation Record · LEDGER

Stable FP4 Training via Transposition-Invariant Block Quantization

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.24953.

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

pith.paper-citation-record.v1
2607.24953 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T05:04:00.410716Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

21 of 21 outbound references displayed

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unresolved21
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ab6a1df-e8a7-47ba-986f-31514fcfc6de · outbound

This paper cites Pretraining large language models with nvfp4.arXiv preprint arXiv:2509.25149, 2025.

Stable FP4 Training via Transposition-Invariant Block Quantization Pretraining large language models with nvfp4.arXiv preprint arXiv:2509.25149, 2025

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.298466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f376e8f-4fb0-4a7c-a90c-7503df96073a · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Stable FP4 Training via Transposition-Invariant Block Quantization gpt-oss-120b & gpt-oss-20b Model Card

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.304222Z

Source-reported events for the cited work

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Observation 33469cad-66e4-43d7-8f56-86bb44bd2f71 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Stable FP4 Training via Transposition-Invariant Block Quantization Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.309234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81fd257d-a594-4009-8b80-cc7ab71a5d81 · outbound

This paper cites Quartet: Native fp4 training can be optimal for large language models.arXiv preprint arXiv:2505.14669, 2025.

Stable FP4 Training via Transposition-Invariant Block Quantization Quartet: Native fp4 training can be optimal for large language models.arXiv preprint arXiv:2505.14669, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.315111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a831031-1cc6-4c21-93be-60ef7c223387 · outbound

This paper cites Oscillation-Reduced MXFP4 Training for Vision Transformers.

Stable FP4 Training via Transposition-Invariant Block Quantization Oscillation-Reduced MXFP4 Training for Vision Transformers

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.321201Z

Source-reported events for the cited work

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Observation 29efcb24-d89d-486f-9773-2cb109c39845 · outbound

This paper cites FP4 All the Way: Fully Quantized Training of LLMs.

Stable FP4 Training via Transposition-Invariant Block Quantization FP4 All the Way: Fully Quantized Training of LLMs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.326163Z

Source-reported events for the cited work

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Observation 2fba09ef-95a1-4f8b-8743-f624c3f37506 · outbound

This paper cites A survey of low-bit large language models: Basics, systems, and algorithms.Neural Networks, page 107856, 2025.

Stable FP4 Training via Transposition-Invariant Block Quantization A survey of low-bit large language models: Basics, systems, and algorithms.Neural Networks, page 107856, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.332410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8351f110-4e6f-40bb-b4c0-54b4054b48ed · outbound

This paper cites Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities.

Stable FP4 Training via Transposition-Invariant Block Quantization Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.337750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f400607-58e0-48c6-a5c8-2fca08502bf0 · outbound

This paper cites Towards fully fp8 gemm llm training at scale.arXiv preprint arXiv:2505.20524, 2025.

Stable FP4 Training via Transposition-Invariant Block Quantization Towards fully fp8 gemm llm training at scale.arXiv preprint arXiv:2505.20524, 2025

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.342685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af469695-b198-4798-9718-6e7d7f3a235e · outbound

This paper cites How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference, 2025.

Stable FP4 Training via Transposition-Invariant Block Quantization How hungry is ai? benchmarking energy, water, and carbon footprint of llm inference, 2025

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.347080Z

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Observation 7a98310b-afdc-4b22-82a7-6831a1a0e2aa · outbound

This paper cites A comprehensive study on quantization tech- niquesforlargelanguagemodels.

Stable FP4 Training via Transposition-Invariant Block Quantization A comprehensive study on quantization tech- niquesforlargelanguagemodels

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.353010Z

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Observation 4ef483db-a8fe-408a-be77-32f57ff7964e · outbound

This paper cites Large language models: A survey, 2025.

Stable FP4 Training via Transposition-Invariant Block Quantization Large language models: A survey, 2025

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.358824Z

Source-reported events for the cited work

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Observation 6bc22111-1ccd-450d-9be1-e93ba5b19779 · outbound

This paper cites Recipes for Pre-training LLMs with MXFP8.

Stable FP4 Training via Transposition-Invariant Block Quantization Recipes for Pre-training LLMs with MXFP8

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.365982Z

Source-reported events for the cited work

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Observation c3884150-09d3-4a20-825f-8130a74c0878 · outbound

This paper cites Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation.

Stable FP4 Training via Transposition-Invariant Block Quantization Quartet II: Accurate LLM Pre-Training in NVFP4 by Improved Unbiased Gradient Estimation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.370898Z

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Unavailable: canonical work link unavailable.

Observation aca84154-2b5c-41cb-816f-ca068542a253 · outbound

This paper cites Microscaling Data Formats for Deep Learning.

Stable FP4 Training via Transposition-Invariant Block Quantization Microscaling Data Formats for Deep Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.375801Z

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Observation 00f85fae-3c8b-49c9-a78b-317a714f8a6c · outbound

This paper cites Scaling Laws for Floating Point Quantization Training.

Stable FP4 Training via Transposition-Invariant Block Quantization Scaling Laws for Floating Point Quantization Training

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.381195Z

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Unavailable: canonical work link unavailable.

Observation bbb63f90-a6d0-40e8-899d-8bc3351116a2 · outbound

This paper cites Training LLMs with MXFP4.

Stable FP4 Training via Transposition-Invariant Block Quantization Training LLMs with MXFP4

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.386588Z

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Observation 12859446-fbe3-45d4-8726-9f08faf13fd4 · outbound

This paper cites Optimizing Large Language Model Training Using FP4 Quantization.

Stable FP4 Training via Transposition-Invariant Block Quantization Optimizing Large Language Model Training Using FP4 Quantization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.391781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62aec842-e882-4a1a-8c21-e011467ea282 · outbound

This paper cites COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training.

Stable FP4 Training via Transposition-Invariant Block Quantization COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.397076Z

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Unavailable: canonical work link unavailable.

Observation d536578f-bed7-4daa-9ac2-26b769a5bc4b · outbound

This paper cites An empirical study of microscaling formats for low-precision llm training.

Stable FP4 Training via Transposition-Invariant Block Quantization An empirical study of microscaling formats for low-precision llm training

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.403204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c56a2d8-8645-42e7-b3a4-ba66f9822115 · outbound

This paper cites Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models.

Stable FP4 Training via Transposition-Invariant Block Quantization Towards Efficient Pre-training: Exploring FP4 Precision in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T05:04:00.410716Z

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Pith citing papers

No inbound Pith citation observations are available.