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Paper Citation Record · LEDGER

Jenga: Effective Memory Management for Serving LLM with Heterogeneity

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.18292.

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

pith.paper-citation-record.v1
2503.18292 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:07:35.089407Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T02:48:27.081996Z

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 e5d02f0d-7ba9-4478-a393-3e2549207f83 · inbound

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster cites this paper.

MindSpeed RL: Distributed Dataflow for Scalable and Efficient RL Training on Ascend NPU Cluster Jenga: Effective Memory Management for Serving LLM with Heterogeneity

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:07:35.089407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T18:07:35.089407Z digest=sha256:64d873c848831c3d083f62312ad16d0d6f93cac97f9374d5912a448faca8805b

Observation f79e7d39-93d7-4662-8af7-3c8f32826329 · inbound

HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing cites this paper.

HybridGen: Efficient LLM Generative Inference via CPU-GPU Hybrid Computing Jenga: Effective Memory Management for Serving LLM with Heterogeneity

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:48:27.083217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T02:48:18.330339Z digest=sha256:6c5cbe2eaf70d2f6016f0c7281f725dc8f7d117479ee0eb3d9144c8dc93467a8