Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.22562.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:34:39.381247Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:58:57.829370Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 9c125455-cb01-4968-bea4-eba3ad5efbf9 · inbound
Cartridges: Lightweight and general-purpose long context representations via self-study Niyama : Breaking the Silos of LLM Inference Serving
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94df0066-4de7-4408-a830-7d0e450f6759 · inbound
Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees Niyama : Breaking the Silos of LLM Inference Serving
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ca0bfd27-8f30-4bce-aedb-449a589aaec2 · inbound
Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC Niyama : Breaking the Silos of LLM Inference Serving
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 89e93491-6fd0-4de9-9676-507bdd68670d · inbound
Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Niyama : Breaking the Silos of LLM Inference Serving
Reference 74
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2f1f2739-e3a3-4fff-b4cc-5ca8b7ab5b3d · inbound
Beyond Prediction: Tail-Aware Scheduling for LLM Inference Niyama : Breaking the Silos of LLM Inference Serving
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.