Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.03917.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:52:48.819926Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T01:36:44.144655Z
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 9578d8f9-5a7b-4e17-a3bd-3178a851a30d · inbound
More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression cites this paper.
More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T13:52:48.819926Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94352534-5c7c-4e04-bc9b-602f81faec4d · inbound
PolarQuant: Quantizing KV Caches with Polar Transformation cites this paper.
PolarQuant: Quantizing KV Caches with Polar Transformation KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:26:55.470592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c04dabc-3b5d-43dc-a42e-79054b65ac2a · inbound
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate cites this paper.
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T08:09:22.411208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 0aef9934-a407-4c49-8162-428eb3976373 · inbound
CaliDrop: KV Cache Compression with Calibration cites this paper.
CaliDrop: KV Cache Compression with Calibration KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:57:15.821815Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5150f09a-df9f-40a6-a18e-a57a59854d2c · inbound
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.
What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization
Reference 148
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T01:36:44.146556Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.