Paper Citation Record · LEDGER

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization

As of 22 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2607.00099.

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

pith.paper-citation-record.v1
2607.00099 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-02T17:55:27.160496Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T17:55:27.160496Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T17:57:15.083030Z

Reference resolution

53 of 53 outbound references displayed

verified exact0
verified fuzzy44
unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dd9aae12-3ce1-489f-aaf7-f018e08c0184 · outbound

This paper cites AI inference and training workloads are characterized by extreme burstiness.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization AI inference and training workloads are characterized by extreme burstiness

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.241812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9eadbb8-4043-4859-8b5f-f19266880b54 · outbound

This paper cites Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-02T17:57:15.084788Z

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Observation 491435c0-97d4-463d-8233-304fa9a23f00 · outbound

This paper cites It lacks the foresight to manage heat accumulation, often resulting in oscillatory behavior and significant energy waste [8].

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization It lacks the foresight to manage heat accumulation, often resulting in oscillatory behavior and significant energy waste [8]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.286011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a2c7173e-965d-4dd5-8ac2-77d522bf625a · outbound

This paper cites an unresolved cited work.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-07-05T22:11:31.230771Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f5f2b729-6b8a-4412-84ec-4e787ba0f7e3 · outbound

This paper cites We model its dynamics using a first- order Resistor-Capacitor (RC) thermal circuit model [20].

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization We model its dynamics using a first- order Resistor-Capacitor (RC) thermal circuit model [20]

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0cb5187b-fcf9-42f2-bd20-29e08a31f24d · outbound

This paper cites an unresolved cited work.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 6

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Observation 7c70ba4c-5da2-4efb-9d03-930a8a11cd50 · outbound

This paper cites an unresolved cited work.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 7

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Observation 154cfbf0-d497-4fd3-bfc1-f08b4de4cad1 · outbound

This paper cites Their power consumption is highly non-linear.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Their power consumption is highly non-linear

Reference 8

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Observation d802d8df-1e34-4950-a13f-e713b0086a21 · outbound

This paper cites an unresolved cited work.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 9

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Observation 4aaa59b6-63f2-472b-ac2f-a038e9e1eb46 · outbound

This paper cites To ensure dimensional consis- tency, we explicitly monetize carbon emissions and thermal risks using conversion factors.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization To ensure dimensional consis- tency, we explicitly monetize carbon emissions and thermal risks using conversion factors

Reference 10

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Source-reported events for the cited work

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Observation ca455f54-c752-4a78-9081-88fc254cbe4e · outbound

This paper cites an unresolved cited work.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2cf566a1-8d6f-4898-88a0-3e1e9a8cd747 · outbound

This paper cites We define c[t] to include real-time values and indicators of volatility.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization We define c[t] to include real-time values and indicators of volatility

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.260305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c621cfe4-0954-46db-a985-c3b84a663bfd · outbound

This paper cites Standard theory often fails because AI residuals have heavy tails.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Standard theory often fails because AI residuals have heavy tails

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.288032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c63522e-6322-44e0-a8cb-0c5218163a0b · outbound

This paper cites The primal problem seeks to minimize the expected cost under the worst-case distribution within the Wasserstein ball.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization The primal problem seeks to minimize the expected cost under the worst-case distribution within the Wasserstein ball

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.321526Z

Source-reported events for the cited work

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Observation 5bcd3f9c-5eb7-499f-82ab-5a1091b0f8f7 · outbound

This paper cites To solve this efficiently, we decompose the global problem into two smaller distinct 7 subproblems.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization To solve this efficiently, we decompose the global problem into two smaller distinct 7 subproblems

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5458d60b-1e51-48f7-9f58-31c603f1f053 · outbound

This paper cites However, our problem structure aligns with the class of non- convex problems analyzed by Wang et al.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization However, our problem structure aligns with the class of non- convex problems analyzed by Wang et al

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.226788Z

Source-reported events for the cited work

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Observation f1eab3d8-a6f3-49bf-8c15-a3ad3c6dbe99 · outbound

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Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 17

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Source-reported events for the cited work

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Observation db0eab16-cbc4-4fb2-81cb-3a8c0b2ed1d3 · outbound

This paper cites First, dis- tributional robustness is essential for safety.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization First, dis- tributional robustness is essential for safety

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.262272Z

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Observation 8a42531a-2b1d-49e6-94ce-6e4e0ebd0a33 · outbound

This paper cites As illustrated in Fig.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization As illustrated in Fig

Reference 19

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Source-reported events for the cited work

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Observation ce4fbdc6-095a-4ee8-b084-816f6f053275 · outbound

This paper cites High Cost.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization High Cost

Reference 20

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Source-reported events for the cited work

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Observation e81daefd-2dbc-47a3-baa7-6a5f7c8bbfc9 · outbound

This paper cites Unlike Min-Max MPC, which maintains a rigid safety buffer, CDRO’s context- aware ambiguity set allows it to identify periods of internal sta- bility.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unlike Min-Max MPC, which maintains a rigid safety buffer, CDRO’s context- aware ambiguity set allows it to identify periods of internal sta- bility

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9607c519-9d08-412b-a318-144839e77778 · outbound

This paper cites Figure 5 illustrates the trade-off between conservatism (Cost) and safety (Risk) as the Wasserstein radius ρ varies.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Figure 5 illustrates the trade-off between conservatism (Cost) and safety (Risk) as the Wasserstein radius ρ varies

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ee096240-034e-41ac-9acc-a7ff6d69edd4 · outbound

This paper cites We performed a sensitivity analysis by varying the DR-CVaR risk level ε ∈ { 0.01,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization We performed a sensitivity analysis by varying the DR-CVaR risk level ε ∈ { 0.01,

Reference 23

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Source-reported events for the cited work

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Observation 5c773ea9-f6b3-4535-a79d-03f9f7151d94 · outbound

This paper cites De- terministic MPC and Nominal Risk methods (e.g., CVaR- MPC) degrade rapidly as forecasts worsen.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization De- terministic MPC and Nominal Risk methods (e.g., CVaR- MPC) degrade rapidly as forecasts worsen

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.281664Z

Source-reported events for the cited work

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Observation fb9627ae-1f55-41ea-a5ab-a8fb41bbb77b · outbound

This paper cites The nominal configuration requires a median solve time of only 12.4 seconds.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization The nominal configuration requires a median solve time of only 12.4 seconds

Reference 25

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Source-reported events for the cited work

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Observation b480a36e-570f-4ccb-a7c9-8711cf34cd58 · outbound

This paper cites 21 NVIDIA Corporation.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization 21 NVIDIA Corporation

Reference 26

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Observation 168496c9-44ac-414b-bbbb-b625c57e9580 · outbound

This paper cites Electricity 2024: Analysis and forecast to 2026,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Electricity 2024: Analysis and forecast to 2026,

Reference 27

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Source-reported events for the cited work

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Observation ecde4ccb-cb1f-4174-b02b-e0ff20d45624 · outbound

This paper cites Towards carbon-free electricity: A flow-based framework for power grid carbon accounting and decar- bonization,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Towards carbon-free electricity: A flow-based framework for power grid carbon accounting and decar- bonization,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.312451Z

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Observation 150cd30d-7897-41a4-a03d-3e5437d16224 · outbound

This paper cites Enhance low-carbon power system operation via carbon- aware demand response,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Enhance low-carbon power system operation via carbon- aware demand response,

Reference 29

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Source-reported events for the cited work

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Observation 76c13342-d823-49f4-98cc-8430768ee70b · outbound

This paper cites Data centres as a source of flexibility for power systems,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Data centres as a source of flexibility for power systems,

Reference 30

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Source-reported events for the cited work

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Observation 40db9318-e8a6-4ab9-943f-6573cc114254 · outbound

This paper cites Data-driven flexibility assessment for internet data center towards periodic batch workloads,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Data-driven flexibility assessment for internet data center towards periodic batch workloads,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.252229Z

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Observation 8eb4bddc-fdf6-4538-9278-f8c3d7bb8e6f · outbound

This paper cites Green ai,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Green ai,

Reference 32

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Source-reported events for the cited work

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Observation fd655178-1f99-4177-98dc-9bca8cf44bda · outbound

This paper cites Optimization control strategies and evaluation metrics of cooling systems in data centers: A review,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Optimization control strategies and evaluation metrics of cooling systems in data centers: A review,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.323415Z

Source-reported events for the cited work

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Observation 2d3e4905-77f4-4478-bff2-b6c2dcfca365 · outbound

This paper cites Data center cooling using model-predictive control,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Data center cooling using model-predictive control,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.254191Z

Source-reported events for the cited work

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Observation a3d7b961-d72c-43ae-8e15-319bd2e4f60d · outbound

This paper cites Joint optimization of cooling parameters and workload distributions based on model predictive control for rack-based data centers,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Joint optimization of cooling parameters and workload distributions based on model predictive control for rack-based data centers,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.307008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a430053-ab98-499b-815b-f7850758d418 · outbound

This paper cites Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Reinforcement learning for data center energy efficiency optimization: A systematic literature review and research roadmap,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.317742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8388004a-e427-4a01-81a4-862a77fb1ee7 · outbound

This paper cites Green data center cooling control via physics-guided safe reinforcement learning,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Green data center cooling control via physics-guided safe reinforcement learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.301498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 97d009d4-86f2-4707-95b8-c6d9e2f3c52f · outbound

This paper cites Tube-based model predictive control of energy storage systems for enhancing transient stability of power systems,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Tube-based model predictive control of energy storage systems for enhancing transient stability of power systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.326949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5344bb6d-c08c-48bd-814a-637dbce88014 · outbound

This paper cites Mixed-stage energy management for decentralized microgrid cluster based on enhanced tube model predictive control,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Mixed-stage energy management for decentralized microgrid cluster based on enhanced tube model predictive control,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.294298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95dbfffb-4e16-4ae7-b5fc-3e57cd1b12d1 · outbound

This paper cites A chance- constraints-based control strategy for microgrids with energy storage and integrated electric vehicles,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization A chance- constraints-based control strategy for microgrids with energy storage and integrated electric vehicles,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.275635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 20de008a-c493-435e-87e4-df084095717f · outbound

This paper cites Risk-averse model predictive control design for battery energy storage systems,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Risk-averse model predictive control design for battery energy storage systems,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.264009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f24abfce-c95a-4b23-be99-44268a3b9d78 · outbound

This paper cites Distributionally robust model predictive control for smart electric vehicle charging station with v2g/v2v capabil- ity,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Distributionally robust model predictive control for smart electric vehicle charging station with v2g/v2v capabil- ity,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.266726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f540589a-18c0-459f-98b3-b374fe00a89f · outbound

This paper cites A distribution- ally robust model predictive control for static and dynamic uncertainties in smart grids,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization A distribution- ally robust model predictive control for static and dynamic uncertainties in smart grids,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.305226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 70c38645-c7dc-4616-be75-9a14ce342872 · outbound

This paper cites Distributed robust model predictive control-based energy management strategy for islanded multi-microgrids considering uncertainty,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Distributed robust model predictive control-based energy management strategy for islanded multi-microgrids considering uncertainty,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.319635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0f721a7b-15c7-4c76-b77e-6fa6e38a7c2f · outbound

This paper cites Simplified server model to simulate data center cooling energy consumption,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Simplified server model to simulate data center cooling energy consumption,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.315798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f9d6456e-6886-4a49-8d21-d00cf2a4ad21 · outbound

This paper cites Thermal-aware task scheduling for data centers through minimizing heat recirculation,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Thermal-aware task scheduling for data centers through minimizing heat recirculation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.310601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28b0438c-8c95-4f3e-9e00-4b536485789b · outbound

This paper cites an unresolved cited work.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-07-05T22:11:31.243586Z

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Observation f44f0fb9-b1c7-40da-aa6e-b19180e193f0 · outbound

This paper cites Development and validation of a new variable refrigerant flow system model in EnergyPlus,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Development and validation of a new variable refrigerant flow system model in EnergyPlus,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.308800Z

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Observation 7d14ea16-b7b9-4819-8222-d7d84c2b3190 · outbound

This paper cites Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Data-driven distributionally robust optimization using the Wasserstein metric: Performance guarantees and tractable reformulations,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.333758Z

Source-reported events for the cited work

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Observation 6492ad44-0076-4d23-8749-bca8af78bfa2 · outbound

This paper cites Global convergence of ADMM in nonconvex nonsmooth optimization,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization Global convergence of ADMM in nonconvex nonsmooth optimization,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.299605Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 160fb90e-ac9c-4f02-a300-d625638850c0 · outbound

This paper cites LMPs by Resource Nodes, Load Zones and Trading Hubs (NP6-788-CD),.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization LMPs by Resource Nodes, Load Zones and Trading Hubs (NP6-788-CD),

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.257845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 88237033-dc1a-4177-989f-6845bca39d09 · outbound

This paper cites WattTime Data API (V3) Documentation,.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization WattTime Data API (V3) Documentation,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.268454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2816c9e7-3688-463b-a199-84b9ec124113 · outbound

This paper cites SIGNAL: Average CO2 (AOER),.

Grid-Interactive Thermal Management of AI Data Centers via Contextual Distributionally Robust Optimization SIGNAL: Average CO2 (AOER),

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T22:11:31.325115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation d9eadbb8-4043-4859-8b5f-f19266880b54 · inbound