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Paper Citation Record · LEDGER

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs

As of 14 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2505.22469.

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

pith.paper-citation-record.v1
2505.22469 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:53.045910Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

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  • verified fuzzy19
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c29d947f-ce5e-4ea7-bc5a-39fd2d7355d1 · outbound

This paper cites Teem: Online thermal- and energy-efficiency management on cpu-gpu mpsocs,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Teem: Online thermal- and energy-efficiency management on cpu-gpu mpsocs,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 1e001222-1161-4b11-8fd3-de24cee6cbbb · outbound

This paper cites An evaluation framework for dynamic thermal management strategies in 3d multiprocessor system-on- chip co-design,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs An evaluation framework for dynamic thermal management strategies in 3d multiprocessor system-on- chip co-design,

Reference 2

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e23681c1-cf6a-4187-98f3-9b11ceb4ab8b · outbound

This paper cites Blind identification of power sources in processors,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Blind identification of power sources in processors,

Reference 3

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Observation 0976a9c9-4156-4a08-9029-7fe57d6a2454 · outbound

This paper cites Cluster- bpi: Efficient fine-grain blind power identification for defending against hardware thermal trojans in multicore socs,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Cluster- bpi: Efficient fine-grain blind power identification for defending against hardware thermal trojans in multicore socs,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation adfd220a-1522-4bb6-9466-7e3e44001a1e · outbound

This paper cites Blind identification of thermal models and power sources from thermal measurements,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Blind identification of thermal models and power sources from thermal measurements,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 20cde2b1-531c-4c39-af78-0ba6cdf72187 · outbound

This paper cites (2023) Snapdragon 8 gen 3 mobile hardware development kit (hdk-8650).

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs (2023) Snapdragon 8 gen 3 mobile hardware development kit (hdk-8650)

Reference 6

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 34a1d64d-1953-427a-b8ed-7a3fd4a099ee · outbound

This paper cites Emulation of an asic power, temperature and aging monitor system for fpga prototyping,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Emulation of an asic power, temperature and aging monitor system for fpga prototyping,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ffe80bae-a81f-4496-af0d-07f7cc2b26cf · outbound

This paper cites Performance-driven dynamic thermal management of mpsoc based on task rescheduling,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Performance-driven dynamic thermal management of mpsoc based on task rescheduling,

Reference 8

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doi, observed 2026-08-07T13:11:53.509692Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation d193aaab-c8d2-4a71-b9ef-91578d7efd06 · outbound

This paper cites Bic: Blind identification countermeasure for malicious thermal sensor attacks in mobile socs,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Bic: Blind identification countermeasure for malicious thermal sensor attacks in mobile socs,

Reference 9

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Observation 39a14499-976a-487d-a7c5-856cb55fd773 · outbound

This paper cites MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs MATTER: Multi-stage Adaptive Thermal Trojan for Efficiency & Resilience degradation

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 78b1856d-e6e6-46cf-83c8-e9afd06a30c0 · outbound

This paper cites A systematic methodology to generate decomposable and responsive power models for cmps,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs A systematic methodology to generate decomposable and responsive power models for cmps,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation e0adaad8-119c-4289-9362-ef0b9fa6a56e · outbound

This paper cites Complete system power estimation using processor performance events,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Complete system power estimation using processor performance events,

Reference 12

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 57703d4b-4c0d-476a-a273-4192d860cca2 · outbound

This paper cites Evaluating the effectiveness of model-based power characterization,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Evaluating the effectiveness of model-based power characterization,

Reference 13

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation f0710c6c-7e1a-4d3d-b563-c8b9cc4f753c · outbound

This paper cites Towards a generic power estimator,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Towards a generic power estimator,

Reference 14

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doi, observed 2026-08-07T13:11:53.284856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 5256b683-1217-443d-a70c-df7c034b59d7 · outbound

This paper cites An artificial neural network approach to power consumption model construction for servers in cloud data centers,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs An artificial neural network approach to power consumption model construction for servers in cloud data centers,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0c275680-dab0-42e3-ba08-c0d482b20dca · outbound

This paper cites Fine-grained power modeling of multicore processors using FFNNs,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Fine-grained power modeling of multicore processors using FFNNs,

Reference 16

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Observation 389d147a-de34-47a6-9997-68301c1d3b7c · outbound

This paper cites Alternating blind identification of power sources for mobile socs,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Alternating blind identification of power sources for mobile socs,

Reference 17

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Observation 856dfd86-7239-4022-b806-d4e7e056afd8 · outbound

This paper cites Understanding the sources of power consumption in mobile socs,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Understanding the sources of power consumption in mobile socs,

Reference 18

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6fa7f724-9b74-4f1a-aca6-a65160324ef4 · outbound

This paper cites Nvidia jetson agx xavier: Embedded system for autonomous machines,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Nvidia jetson agx xavier: Embedded system for autonomous machines,

Reference 19

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Observation 8d647987-a5f1-4063-ace7-913a2ae3eb1a · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6f3352a3-12bc-462a-9d17-15695924d8ab · outbound

This paper cites A fast and elitist multiobjective genetic algorithm: Nsga-ii,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs A fast and elitist multiobjective genetic algorithm: Nsga-ii,

Reference 21

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Observation e58825ee-b92d-4116-b3b6-a02ec34f2cb0 · outbound

This paper cites Nsga-pinn: A multi-objective optimization method for physics-informed neural network training,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Nsga-pinn: A multi-objective optimization method for physics-informed neural network training,

Reference 22

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Observation 92e6f28e-f408-46d9-a100-b80ace13e681 · outbound

This paper cites an unresolved cited work.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Unresolved cited work

Reference 23

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Observation c9123043-24d8-41de-9ab3-c3280130af8a · outbound

This paper cites stress-ng,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs stress-ng,

Reference 24

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Observation 0684f08c-58d9-4d46-ba95-b92a8495b82b · outbound

This paper cites Jetson stats tool (jtop),.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Jetson stats tool (jtop),

Reference 25

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raw_fallback, observed 2026-08-07T13:11:54.455785Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 61ecc771-5afa-4ad5-b11b-54a9d066def0 · outbound

This paper cites Thermal modeling and validation of a real-world mobile ap,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Thermal modeling and validation of a real-world mobile ap,

Reference 26

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Observation e6880d5e-f729-4e35-9f35-76d44e73be6e · outbound

This paper cites Hotspot: A temperature modeling tool for ics,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Hotspot: A temperature modeling tool for ics,

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 4ff59fdf-eb36-4f38-9ea1-e087000462f0 · outbound

This paper cites Comet: An integrated interval thermal simulation toolchain for 2d, 2.5d, and 3d processor-memory systems,.

CPINN-ABPI: Physics-Informed Neural Networks for Accurate Power Estimation in MPSoCs Comet: An integrated interval thermal simulation toolchain for 2d, 2.5d, and 3d processor-memory systems,

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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