Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.20552.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T10:28:52.448573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T21:56:15.724063Z
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 52c91951-a885-4c51-9254-d96119a2c3fc · inbound
EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration cites this paper.
EcoServe: Enabling Cost-effective LLM Serving with Proactive Intra- and Inter-Instance Orchestration Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:28:52.448573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f71bca3b-0307-4582-a210-56e50cda3acf · inbound
Serving Large Language Models on Huawei CloudMatrix384 cites this paper.
Serving Large Language Models on Huawei CloudMatrix384 Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:51:53.296205Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bb5949f9-76b2-42ab-8c82-18a94e730760 · inbound
Move the Query, Not the Cache: Characterizing Cross-Instance Latent Attention Redistribution Across GPU Fabrics cites this paper.
Move the Query, Not the Cache: Characterizing Cross-Instance Latent Attention Redistribution Across GPU Fabrics Injecting Adrenaline into LLM Serving: Boosting Resource Utilization and Throughput via Attention Disaggregation
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T21:56:15.725752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.