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Paper Citation Record · LEDGER

Taming the Titans: A Survey of Efficient LLM Inference Serving

As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-19T06:30:13.599613+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T16:21:05.570023Z

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 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 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-05-20T12:36:41.055552Z digest=sha256:8fb35741302bded65949e18bb104ef5af6087f26f9ed7ff45d4c101f128a12f5

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 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-06-30T18:53:40.889001Z digest=sha256:302d3a49ba5bafffa1cccd03e73b95d020eacfc2e90127d62bd299bd422a7ebf

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 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-06-26T13:24:44.218871Z digest=sha256:827b9864040c994928aabc56ed46d7e0ab5381a03d95dad94c8a49dd650c6310

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.

source=arxiv_source observed=2026-07-11T13:03:39.236118Z digest=sha256:1181fa938f4ea2fd40e98d9e6ca9992a533770e697c1da090462e3da7e6c294c

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.

source=arxiv_source observed=2026-07-14T16:21:05.570023Z digest=sha256:c5193a8889ac87625c2f2145eb0ba850e0e6b4767b7e845c6a6217e2f48a129b

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 2026-07-19T06:30:13.599613+00:00.

source=pdf_text observed=2026-07-10T16:30:09.561233Z digest=sha256:1c45c59148a83eb94e885c8dfe8558327e46779500d932331921fe45464f085f