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Paper Citation Record · LEDGER

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences

As of 21 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.01250.

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

pith.paper-citation-record.v1
2608.01250 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:15:15.297643Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7aa9e331-f93d-4a25-8fd2-38ed8db4f114 · outbound

This paper cites Energy and AI,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Energy and AI,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.765229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation bfee9858-e230-4467-bbda-58ebe43b757b · outbound

This paper cites Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.215327Z digest=sha256:7b95e99db5c271a0ac7fe72f6670c5df2db00857d8788c37e5acca143ef4eeed

Observation 88357998-1d3e-4228-a2cd-31cc29be56f7 · outbound

This paper cites Power Stabilization for AI Training Datacenters.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Power Stabilization for AI Training Datacenters

Reference 3

Resolution
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no resolver link, observed 2026-08-15T15:15:15.221603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.221603Z digest=sha256:c365b184189c202b59e1aac957129c7c47e9dba98b14d799837c5346ea2dca6b

Observation 7e8c1549-a27d-4865-91a5-192c1c98395c · outbound

This paper cites The Llama 3 Herd of Models.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences The Llama 3 Herd of Models

Reference 4

Resolution
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no resolver link, observed 2026-08-15T15:15:15.226711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.226711Z digest=sha256:6ff2eee59a80f0a031176640eb980ce14cc20992a94bc2a34aa65e8f27db2c5f

Observation efb8ac0d-f619-46a6-bc0d-5aa3c6016ee4 · outbound

This paper cites SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T15:15:15.232261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.232261Z digest=sha256:f97abac9503a813fa6adf0f26c65795ebf97f0cd5f707b35628f899c7afab4bc

Observation 80644049-4403-43e9-a974-5e5e45319394 · outbound

This paper cites Taming throughput-latency tradeoff in LLM inference with Sarathi-Serve,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Taming throughput-latency tradeoff in LLM inference with Sarathi-Serve,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.749213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7984875f-3bad-4137-b83d-0d9785061a1d · outbound

This paper cites Wide-Area Power System Oscillations from Large-Scale AI Workloads.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Wide-Area Power System Oscillations from Large-Scale AI Workloads

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T15:15:15.243623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.243623Z digest=sha256:ec77fa9a2b12694f9d50215458a344304dc4ed6171efdc37631a3db9708c0625

Observation 45162a23-c3c5-47f6-856e-d11df463e3fc · outbound

This paper cites From servers to sites: Compositional power trace generation of LLM inference for infrastructure planning,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences From servers to sites: Compositional power trace generation of LLM inference for infrastructure planning,

Reference 8

Resolution
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no resolver link, observed 2026-08-15T15:15:15.248581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.248581Z digest=sha256:399418742eaeea66d0016383e702269394e99df334d386b83ece73c444b9eeb4

Observation d95c1cb1-7b04-456d-8710-8e8a3ef13f9d · outbound

This paper cites Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:15:15.402431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 69cd5e12-21d2-45bc-bbc0-ac1e870c17de · outbound

This paper cites Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Inference as Flexibility: Ramp Management for Transmission-Connected AI Data Centres

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:15:15.379200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T15:15:15.258679Z digest=sha256:895734a191673b2f224cd5c582e2794d69eb5e51c7d9105a5280f8e433239cf5

Observation ffd22d08-2c21-4ca8-ba64-db43bf65886e · outbound

This paper cites Coincidence factors for domestic EV charging from driving and plug-in behavior,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Coincidence factors for domestic EV charging from driving and plug-in behavior,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.732475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T15:15:15.263679Z digest=sha256:98da84e0eaa40e91018dd1e88a007a85b38bd84b839af0b3687ff30f1107cd75

Observation 48f6511a-1d48-499a-b48c-eec864b9571d · outbound

This paper cites The case for energy-proportional computing,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences The case for energy-proportional computing,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.714067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T15:15:15.268545Z digest=sha256:ace1408e6b8f96a19d8ab3de3c7644469a68c73b025f9f7c39563db5769d11ea

Observation f6b7b6a0-375b-442d-9efa-bea0235ee5c8 · outbound

This paper cites The Energy Cost of Execution-Idle in GPU Clusters.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences The Energy Cost of Execution-Idle in GPU Clusters

Reference 13

Resolution
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no resolver link, observed 2026-08-15T15:15:15.273131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:15:15.273131Z digest=sha256:762c89511daf81a09c14e15dca36d890ac1cd6bd43a7beb57d503eca854d1656

Observation 72344dd8-0e5a-4200-8554-b507e980cb9c · outbound

This paper cites Ancillary services,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Ancillary services,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.697319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T15:15:15.278198Z digest=sha256:828429a2174156ef167b581b7fa16070982b24d92e05f918ce5fec2381cab0dc

Observation f75750c1-cdf4-4711-a3b3-36df254ea32e · outbound

This paper cites ShareGPT Vicuna unfiltered,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences ShareGPT Vicuna unfiltered,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.680089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T15:15:15.283024Z digest=sha256:751acd5695218ae0e3494d3df1b6667c5e3c61f0e9ae01e6b4d4ac473b616e1b

Observation 1daf862c-ed18-4da3-bfe3-f971373a8d2a · outbound

This paper cites Burstgpt: A real-world workload dataset to optimize llm serving systems,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Burstgpt: A real-world workload dataset to optimize llm serving systems,

Reference 16

Resolution
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raw_fallback, observed 2026-08-15T15:15:15.662695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T15:15:15.287819Z digest=sha256:f30fb3ef3ea310acb1f1ef2748a017465c0498a28dacefed00e8c641d47df13e

Observation c661f1d4-b3fb-4444-989a-6c2ca3743a13 · outbound

This paper cites TraceLab: Characterizing Coding Agent Workloads for LLM Serving.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences TraceLab: Characterizing Coding Agent Workloads for LLM Serving

Reference 17

Resolution
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no resolver link, observed 2026-08-15T15:15:15.292444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8ddc6446-46e1-46b0-906d-312efec2228b · outbound

This paper cites Distribution power system reliability assessment considering cold load pickup events,.

Smoothing the Ramp, Not the Peak: Scheduling-Induced Power Dynamics of LLM Inference and Their Grid-Scale Consequences Distribution power system reliability assessment considering cold load pickup events,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:15:15.645789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.