Paper Citation Record · LEDGER

The case for 4-bit precision: k-bit Inference Scaling Laws

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2212.09720.

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

pith.paper-citation-record.v1
2212.09720 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:42.212714Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T08:29:11.284550Z

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 da99d2b7-4bb8-4dd6-af7b-021d277e54ce · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:29:53.845268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e29f294-261e-4edb-b788-dd62350c6ce0 · inbound

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration cites this paper.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:29:11.287448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c51fca5b-dc7f-40a9-9e39-e2dbd71c9b94 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T18:00:50.246733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b18180a0-ba87-4ed2-b240-0dedfd50b85f · inbound

Slimming Down LLMs Without Losing Their Minds cites this paper.

Slimming Down LLMs Without Losing Their Minds The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:42.212714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24b96ee-9cb2-4c1f-a8be-9595a0b2aec9 · inbound

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models cites this paper.

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T21:58:32.672393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5f60432-993c-4a90-b01f-083cb6b19cfc · 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 The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T02:23:52.789379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dac3902d-6d7d-46e3-bb84-adb60a53edbb · inbound

Parcae: Scaling Laws For Stable Looped Language Models cites this paper.

Parcae: Scaling Laws For Stable Looped Language Models The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:00.842301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b59d21eb-9eb5-43ed-a63c-79a568d2f17c · inbound

Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization cites this paper.

Bits and Memories: Measuring Verbatim Extraction Across LLM Quantization The case for 4-bit precision: k-bit Inference Scaling Laws

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T02:28:36.738468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.