Paper Citation Record · LEDGER

Training DNNs with Hybrid Block Floating Point

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1804.01526.

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

pith.paper-citation-record.v1
1804.01526 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:46:37.190997Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:51:16.383367Z

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 f0fb2e3f-6228-4ca0-be75-785f0edccea8 · inbound

WINT: A Novel Weighted Integer Representation with Improved Error Characteristics cites this paper.

WINT: A Novel Weighted Integer Representation with Improved Error Characteristics Training DNNs with Hybrid Block Floating Point

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T15:56:34.283388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0389ef3-da40-46f6-b694-d9dd588926c7 · inbound

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference cites this paper.

MXSens: Sensitivity-Aware Mixed-Precision Quantization for Efficient LLM Inference Training DNNs with Hybrid Block Floating Point

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:12:27.151541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f02524c-fdb1-466d-ad8a-c8f7b9f350ad · inbound

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models cites this paper.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Training DNNs with Hybrid Block Floating Point

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T00:51:16.389569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d9f5e11f-6cbc-4451-8e5d-f48617ef3d78 · inbound

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models cites this paper.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Training DNNs with Hybrid Block Floating Point

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-14T04:46:37.190997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.