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Paper Citation Record · LEDGER

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.05079.

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

pith.paper-citation-record.v1
2310.05079 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:34.412775Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T05:41:06.465556Z

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 52ea92a6-a352-4b9d-9ecc-3d40eaec762a · 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 Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T11:25:34.412775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:25:34.412775Z digest=sha256:f6e1cd2294a8b11b030f20eebebacc8e6fc1ee1879b34f4d54f43aaea1b877c2

Observation 3dee4ea3-775b-4da3-9a78-b3538ea7fcf2 · inbound

Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom cites this paper.

Knowledge Distillation of Domain-adapted LLMs for Question-Answering in Telecom Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:41:06.470472Z

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.

source=pdf_text observed=2026-08-16T05:41:06.274630Z digest=sha256:76937581881fd053cfeaff00c1ad359e31cdfff965951f6a068e50d65eb6d39d