Paper Citation Record · LEDGER

LLM-FP4: 4-Bit Floating-Point Quantized Transformers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2310.16836.

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

pith.paper-citation-record.v1
2310.16836 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:34.462176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:26.972501Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ab32f4d4-f661-4a35-966a-79d4cfc4a8fe · inbound

BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference cites this paper.

BlockDialect: Block-wise Fine-grained Mixed Format Quantization for Energy-Efficient LLM Inference LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T22:44:30.137644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf87f6a6-3364-494c-817e-3ff8d29ebd7d · inbound

BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models cites this paper.

BBAL: A Bidirectional Block Floating Point-Based Quantisation Accelerator for Large Language Models LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:25:34.462176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 117cfbcd-d489-425c-a702-407cf621c701 · inbound

EfficientLLM: Efficiency in Large Language Models cites this paper.

EfficientLLM: Efficiency in Large Language Models LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 213

Resolution: unresolved; no resolver link, observed 2026-08-15T20:13:37.930718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2324a57e-820d-4a59-baf5-e5ffa36b689a · inbound

FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design cites this paper.

FPQVAR: Floating Point Quantization for Visual Autoregressive Model with FPGA Hardware Co-design LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:08:18.429756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e530c43-7315-46f0-a0eb-0ae3f8e057a2 · inbound

Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning cites this paper.

Pioneering 4-Bit FP Quantization for Diffusion Models: Mixup-Sign Quantization and Timestep-Aware Fine-Tuning LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T13:45:43.829649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36bfd8de-f8c2-4a01-ab36-f0d3724f9906 · inbound

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models cites this paper.

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T22:43:57.403719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890a1171-f933-4662-951e-180cecf31f3a · inbound

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration cites this paper.

OASIS: Outlier-Aware LUT-Based GEMM with Dual-Side Quantization for LLM Inference Acceleration LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T11:15:33.980434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11fdd9e4-c41d-4afb-8553-55c8972b8e15 · inbound

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling cites this paper.

Four Over Six: More Accurate NVFP4 Quantization with Adaptive Block Scaling LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:23:52.799774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 07301f2b-70f3-412c-beed-4f5fcaa9d863 · inbound

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction cites this paper.

Balancing FP8 Computation Accuracy and Efficiency on Digital CIM via Shift-Aware On-the-fly Aligned-Mantissa Bitwidth Prediction LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T13:54:11.571256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce62154b-2599-4b03-8489-f9767284ae82 · inbound

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation cites this paper.

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:04.735239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 25408452-67d5-48a3-89bd-ff1d5243257f · inbound

StatQAT: Statistical Quantizer Optimization for Deep Networks cites this paper.

StatQAT: Statistical Quantizer Optimization for Deep Networks LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:22:55.759536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 124fc26e-1dcb-4307-b0c2-b8ccde03095f · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T02:06:26.974312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e43ff9b1-7882-4250-b931-cc879970e0bf · inbound

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection cites this paper.

LiftQuant: Continuous Bit-Width LLM via Dimensional Lifting and Projection LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:24:38.288399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 24bc865a-0128-415d-87f9-e41886342922 · inbound

FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks cites this paper.

FlipGuard: Defending Large Language Models Against Quantization-Conditioned Backdoor Attacks LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T09:44:37.644081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0c3c5375-3baf-4474-aa13-bc64a22eb754 · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.687869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6e5740c5-124e-4846-b72f-8571c5924488 · inbound

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors cites this paper.

Breaking the Rounding Trap: Securing LLMs against Quantization-Conditioned Backdoors LLM-FP4: 4-Bit Floating-Point Quantized Transformers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T04:39:06.862258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.