Paper Citation Record · LEDGER

Taming the Titans: A Survey of Efficient LLM Inference Serving

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2504.19720.

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

pith.paper-citation-record.v1
2504.19720 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:43:40.020798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T16:37:23.046838Z

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 b8329d69-3ab0-4e7d-9cc0-4ba684ce9bfc · inbound

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT cites this paper.

Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T15:43:40.020798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0365177a-d57d-4ed1-87cb-4e1e494377b1 · inbound

SNLP: Layer-Parallel Inference via Structured Newton Corrections cites this paper.

SNLP: Layer-Parallel Inference via Structured Newton Corrections Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:38:16.792421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e44697e8-5558-40b7-be87-4cc4f1203112 · inbound

SNLP: Layer-Parallel Inference via Structured Newton Corrections cites this paper.

SNLP: Layer-Parallel Inference via Structured Newton Corrections Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:55:00.149925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6a33381b-bbf5-4aff-9cdd-32de3877eabe · inbound

Recency/Frequency Adaptive KV Caching for Large Language Model Serving cites this paper.

Recency/Frequency Adaptive KV Caching for Large Language Model Serving Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:29:39.033127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2416f8d-2cc5-4fbc-92d5-21919b12a54e · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-11T13:03:39.236118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d37bf6c-7e9a-48db-aa6a-3820733bd029 · inbound

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers cites this paper.

Layer-Parallel Inference Reduces Encrypted Nonlinear Depth in Transformers Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-14T16:21:05.570023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af013cce-dc30-4506-8d31-1418aaecfcf5 · inbound

CTA-Pipelining: A Latency-Oriented Spatial Scaling Method for Multi-GPU Systems cites this paper.

CTA-Pipelining: A Latency-Oriented Spatial Scaling Method for Multi-GPU Systems Taming the Titans: A Survey of Efficient LLM Inference Serving

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-10T16:37:23.048137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.