Paper Citation Record · LEDGER

BitNet a4.8: 4-bit Activations for 1-bit LLMs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.04965.

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

pith.paper-citation-record.v1
2411.04965 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:08.943376Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T13:31:25.422236Z

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 ec36895e-8ba7-47f7-be3d-19cb69ded4cc · inbound

Scaling Law for Quantization-Aware Training cites this paper.

Scaling Law for Quantization-Aware Training BitNet a4.8: 4-bit Activations for 1-bit LLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:08.943376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78309ff1-eeb0-4cfb-a71c-213e7429274a · inbound

TAT-VPR: Ternary Adaptive Transformer for Dynamic and Efficient Visual Place Recognition cites this paper.

TAT-VPR: Ternary Adaptive Transformer for Dynamic and Efficient Visual Place Recognition BitNet a4.8: 4-bit Activations for 1-bit LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:43.514862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 253ec4c4-16a3-42ab-a7ac-7cc987e12e89 · inbound

ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory based Ternary LLMs cites this paper.

ReTern: Exploiting Natural Redundancy and Sign Transformations for Enhanced Fault Tolerance in Compute-in-Memory based Ternary LLMs BitNet a4.8: 4-bit Activations for 1-bit LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:45.713742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c968c840-9b15-4a3b-ab6d-fa46d242edff · inbound

SiLQ: Simple Large Language Model Quantization-Aware Training cites this paper.

SiLQ: Simple Large Language Model Quantization-Aware Training BitNet a4.8: 4-bit Activations for 1-bit LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:08:29.258048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d489cf9-0b28-456a-a867-1323c81a262f · inbound

Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices cites this paper.

Tiny but Mighty: A Software-Hardware Co-Design Approach for Efficient Multimodal Inference on Battery-Powered Small Devices BitNet a4.8: 4-bit Activations for 1-bit LLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:31:25.424551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a2726e82-f69d-4c2c-a8ef-b1085060b347 · 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 BitNet a4.8: 4-bit Activations for 1-bit LLMs

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:46:04.772642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.