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Paper Citation Record · LEDGER

Niyama : Breaking the Silos of LLM Inference Serving

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.

pith.paper-citation-record.v1
2503.22562 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:34:39.381247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.829370Z

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 9c125455-cb01-4968-bea4-eba3ad5efbf9 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Niyama : Breaking the Silos of LLM Inference Serving

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:28.981719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:28.981719Z digest=sha256:eb174cd1edd3409c3899b1253ecfb2ae390d804496f586fd5af369faf49bcd95

Observation 94df0066-4de7-4408-a830-7d0e450f6759 · inbound

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees cites this paper.

Adaptive Request Scheduling for CodeLLM Serving with SLA Guarantees Niyama : Breaking the Silos of LLM Inference Serving

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T18:34:39.381247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:34:39.381247Z digest=sha256:4f19becbeca4ddae21bd3591ffaf0ffdb3b6d6a558f00f368d6bc4a149f1076a

Observation ca0bfd27-8f30-4bce-aedb-449a589aaec2 · inbound

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC cites this paper.

Blink: CPU-Free LLM Inference by Delegating the Serving Stack to GPU and SmartNIC Niyama : Breaking the Silos of LLM Inference Serving

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:41:01.245031Z

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.

source=pdf_text observed=2026-05-10T17:01:57.651581Z digest=sha256:56afcec4f59fc116feaa1a21b48bafd9c79dda03f00fd2fc4dd85f4f88ee2762

Observation 89e93491-6fd0-4de9-9676-507bdd68670d · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.826535Z

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.

source=pdf_text observed=2026-05-10T06:27:23.580445Z digest=sha256:15005be26dd3d692d4af8b183ebd6feae07000be7584303cc17169ae0ade1802

Observation 2f1f2739-e3a3-4fff-b4cc-5ca8b7ab5b3d · inbound

Beyond Prediction: Tail-Aware Scheduling for LLM Inference cites this paper.

Beyond Prediction: Tail-Aware Scheduling for LLM Inference Niyama : Breaking the Silos of LLM Inference Serving

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:58:57.830637Z

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.

source=arxiv_source observed=2026-06-27T01:01:34.655458Z digest=sha256:2e161ede8d828df774f0898b3b51ef551bf1eabd29d66bae806163bbb97e634b