Paper Citation Record · LEDGER

Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.17525.

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

pith.paper-citation-record.v1
2411.17525 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:34:01.289119Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:29:45.503006Z

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 f0f3d9b0-5619-4ccf-a814-6d412e9edcfc · inbound

Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models cites this paper.

Cache Me If You Must: Adaptive Key-Value Quantization for Large Language Models Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T20:34:01.289119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26d22641-5be1-453b-bcca-af9996668f5f · inbound

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models cites this paper.

CE-LoRA: Computation-Efficient LoRA Fine-Tuning for Language Models Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:36:04.444303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7660a5e6-f3c7-4897-aecd-a5e13d5e036c · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:06:01.042670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 69b2aa2a-6198-48c1-b62a-6ea3ecd0af6c · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:56.317662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation efc361d6-9c2b-4631-9de5-5a2be0490d6e · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:37:29.365075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a729e4b6-e5e5-43fa-9169-c18a4b781040 · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:42:39.689196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f8aab825-e78f-41ce-a5fd-3a528d9b95e3 · inbound

HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models cites this paper.

HyperQuant: A Rate-Distortion-Optimal Quantization Pipeline for Large Language and Diffusion Models Pushing the Limits of Large Language Model Quantization via the Linearity Theorem

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:29:45.504441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.