Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:48:46.787725Z
Paper Citation Record · LEDGER
As of 24 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.17514.
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, observed 2026-08-01T17:48:46.787725Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
18 of 18 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 88725e7f-5a1b-4c19-b016-7f9704c61fb3 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Recalibrating global data center energy-use estimates,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9b437b7-88c6-476a-ba43-877247746beb · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Energy and policy con- siderations for deep learning in nlp,
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 621da9c6-d820-4805-bac4-850795f55322 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Data center power system stability—part i: Power supply impedance modeling,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 744c026d-866b-4aef-b7bd-5a4fcbdc6da2 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Risk-aware energy scheduling for edge computing with microgrid: A multi-agent deep reinforcement learning approach,
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 091b3147-17dd-470f-9f71-722934601d88 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Electricity demand and grid impacts of ai data centers: Challenges and prospects,
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b7c3303-0339-49d8-8fad-dcf24b405c5a · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Toward optimal operation of internet data center microgrid,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 403df49b-520e-4ab1-bb50-55bc7349b4a8 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Safari, K
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1245e816-bd3a-401c-8e4e-2f9dc7ddf5b4 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Towards accurate prediction for high-dimensional and highly-variable cloud workloads with deep learning,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f6e4c39-a7b1-4ad6-8918-7915f7972527 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers A review of machine learning-based photovoltaic output power forecasting: Nordic context,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21ecb73c-217f-4518-b45a-28fea7216e5b · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers The cost of photovoltaic forecasting errors in microgrid control with peak pricing,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c00ca735-079d-4437-8349-687c966e350a · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Smart “predict, then optimize
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8b3598bd-93e0-4df3-8392-0cd26045ec55 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Task-based end-to-end model learning in stochastic optimization,
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c5e3461-2ab3-4a7e-b62c-794bed093ce2 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Decision-Focused Learning for Power System Decision-Making Under Uncertainty,
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b9ab54d-26c1-44de-8149-72f7f208a027 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization,
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e4dfddb-cb1a-4c96-8c05-9cd596a40a8d · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Branch flow model: Relaxations and convexification—part i,
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd4bf4ee-2243-4920-b1b6-0601002aa684 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Optnet: Differentiable optimization as a layer in neural networks,
Reference 16
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 46116c3b-4001-4fbe-9193-cb70f040eb84 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Differentiable convex optimization layers,
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb8f4686-4188-41cc-b252-9f3403c79501 · outbound
A Predict-then-Schedule framework for Power Distribution Networks with AI Data Centers Electricity Demand and Grid Impacts of AI Data Centers: Challenges and Prospects
Reference 2025
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.