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Paper Citation Record · LEDGER

Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.24000.

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

pith.paper-citation-record.v1
2503.24000 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:02:32.862408Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:28.602539Z

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 f2d3095f-0f99-4008-ad1c-ad9dbd9f0756 · inbound

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library cites this paper.

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:32.862408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:32.862408Z digest=sha256:d53f7b3738e34642817562d0454678e73a44e324736133a4f56de81182690569

Observation 21e5d85b-8d41-4f70-ba82-f370526f29d0 · inbound

DisCEdge: Distributed Context Management for Large Language Models at the Edge cites this paper.

DisCEdge: Distributed Context Management for Large Language Models at the Edge Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T04:19:00.416018Z

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.

source=pdf_text observed=2026-05-17T04:17:31.955480Z digest=sha256:b7c8e3695e71bdeeb03d44b9c8c08e92e4cbd90415c6e982d500d43b9e51e406

Observation 12e986b0-5a4e-4c7a-a742-d2e4add3a1a6 · inbound

Does Normalization Choice Matter for Causal Large Time-Series Models? cites this paper.

Does Normalization Choice Matter for Causal Large Time-Series Models? Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:28.604370Z

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.

source=pdf_text observed=2026-06-27T17:26:01.947965Z digest=sha256:9740b4c60c2d7a49638c80303fd3c0c738347cebc68609a2f244ce634c603fbb