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Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:39:06.862258Z

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 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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T02:23:01.845123Z digest=sha256:f5cf53fcc93dd26a61568a50602c0ee191d174578cc92fffb8ff06cc485edbf8

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-21T13:50:18.114223Z digest=sha256:9e9576d2874b81d9e17e3eceba6f61a4f7e28e81e61616b94394cf7369a971a6

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-10T03:04:14.900791Z digest=sha256:3534abc7f6a826cb55c743adb48a6992cdd9e61fa9dc4c89c7648bbdcda4c61b

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T01:20:06.033991Z digest=sha256:9dfa458c331530546978fc5e394f11ae353e5f2aa2dc4613bebd5c9bb615036c

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T11:14:03.535306Z digest=sha256:7fbaf703519c1b14fd4fdc433b56841760b85d48490a49ee42de34fb78f8a989

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 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-30T11:17:53.736872Z digest=sha256:76094e9e90406fbddae149a1f0c3c62e31db398a58af698b62f299a156566366

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T09:39:35.673341Z digest=sha256:8d42e15e949fc4521966b5815ae7dc13c2d260ba4949dc584288ad18569ee016

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 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-06-30T07:47:18.350953Z digest=sha256:09cbccb5f5986dc1a064502c0ca021990d836657d85405792bfb403426f810ff

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.

source=pdf_text observed=2026-08-04T04:39:06.862258Z digest=sha256:c418da24328821a3d2e84155b8709de624984b76d3f8824ab6e364cecf6e6322