Paper Citation Record · LEDGER

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage

As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2507.22177.

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

pith.paper-citation-record.v1
2507.22177 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:04:44.917314Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

27 of 27 outbound references displayed

verified exact0
verified fuzzy22
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bd5ab7e-e376-4fc5-b3a0-74bf277b4f16 · outbound

This paper cites Differential power analysis,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Differential power analysis,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.246700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2653de62-a2d6-40b1-9f0e-de279651c683 · outbound

This paper cites Side-Channel Leakage through Static Power – Should We Care about in Practice?.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Side-Channel Leakage through Static Power – Should We Care about in Practice?

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.238311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd90a20e-d3b1-4a79-af9f-705d416c0f98 · outbound

This paper cites A testing methodology for side channel resistance validation,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage A testing methodology for side channel resistance validation,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.220572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5730bfe-6674-4f61-abd1-ccda014645c7 · outbound

This paper cites Combinational Logic Design for AES SubByte Transformation on Masked Data,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Combinational Logic Design for AES SubByte Transformation on Masked Data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.211393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 18bb9a54-1a16-470a-8523-2b16f7204cd8 · outbound

This paper cites Domain-Oriented Masking: Compact Masked Hardware Implementations with Arbitrary Protection Order,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Domain-Oriented Masking: Compact Masked Hardware Implementations with Arbitrary Protection Order,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.201634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2bd3a355-2b9b-4ca8-a0a7-7b70b74f113a · outbound

This paper cites V ALIANT: An EDA Flow for Side-Channel Leakage Evaluation and Tailored Protection,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage V ALIANT: An EDA Flow for Side-Channel Leakage Evaluation and Tailored Protection,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.192969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec4fdd9d-410d-4e15-bd11-08ecbc7f7adf · outbound

This paper cites Towards efficient and automated side-channel evaluations at design time,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Towards efficient and automated side-channel evaluations at design time,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.184686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5a78320-e13e-4178-a557-b69d458b0c49 · outbound

This paper cites Karna: A Gate- Sizing based Security Aware EDA Flow for Improved Power Side- Channel Attack Protection,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Karna: A Gate- Sizing based Security Aware EDA Flow for Improved Power Side- Channel Attack Protection,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.175749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04ef215d-6219-4482-a24e-195597a987b6 · outbound

This paper cites DL-LA: Deep learning leakage assessment: A modern roadmap for SCA evaluations,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage DL-LA: Deep learning leakage assessment: A modern roadmap for SCA evaluations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.167172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbee7ff1-c474-4089-a2e9-55af0c75fab7 · outbound

This paper cites Netlist whisperer: Ai and nlp fight circuit leakage!.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Netlist whisperer: Ai and nlp fight circuit leakage!

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:04:45.043842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4286585c-b03b-46b1-8bcf-4109e4991117 · outbound

This paper cites Leakage Assessment Methodology - a clear roadmap for side-channel evaluations,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Leakage Assessment Methodology - a clear roadmap for side-channel evaluations,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.158517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 242c40bc-24e3-4116-9c43-9a4ab9bbf663 · outbound

This paper cites Detecting Flawed Masking Schemes with Leakage De- tection Tests,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Detecting Flawed Masking Schemes with Leakage De- tection Tests,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.149565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32fe5f9e-0d47-42ad-9d8d-bce96e180722 · outbound

This paper cites Masking against side-channel attacks: A formal security proof,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Masking against side-channel attacks: A formal security proof,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.141049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5ca4bfd-43cd-4f6c-9feb-6f33dad7aade · outbound

This paper cites Is poisoning a real threat to LLM alignment? Maybe more so than you think.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Is poisoning a real threat to LLM alignment? Maybe more so than you think

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T12:04:44.883293Z

Source-reported events for the cited work

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Observation 8e3b0eaa-13b9-4023-8b39-e6758973f04f · outbound

This paper cites Data poisoning attacks against federated learning systems,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Data poisoning attacks against federated learning systems,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.132595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c77ba1a8-b096-47e8-9849-9ba33d54a2cf · outbound

This paper cites An overview of backdoor attacks against deep neural networks and possible defences,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage An overview of backdoor attacks against deep neural networks and possible defences,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.123982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ebe01661-de2d-4dc5-abae-d9bcbf7cf126 · outbound

This paper cites Label-Consistent Backdoor Attacks.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Label-Consistent Backdoor Attacks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T12:04:44.891877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de424b62-96c7-41d4-a6d1-464db5951cad · outbound

This paper cites A Unified Approach to Interpreting Model Predictions.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage A Unified Approach to Interpreting Model Predictions

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T12:04:44.894886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e1079f-844a-4580-983f-aad43b6d095a · outbound

This paper cites SAIL: Machine learning guided structural analysis attack on hardware obfuscation,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage SAIL: Machine learning guided structural analysis attack on hardware obfuscation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.115223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f2bb9dba-b41d-48a2-8050-0f4e312fd813 · outbound

This paper cites Learning Your Lock: Exploiting Structural Vulnerabilities in Logic Locking,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Learning Your Lock: Exploiting Structural Vulnerabilities in Logic Locking,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.105943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 809937d0-7e71-448c-9154-0dd74867da35 · outbound

This paper cites Why should i trust you? Explaining the predictions of any classifier,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Why should i trust you? Explaining the predictions of any classifier,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.095905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5a87f90d-3930-432f-aceb-a0d3943b2112 · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Captum: A unified and generic model interpretability library for PyTorch

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T12:04:44.906255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8a05f1-e36a-47fc-9866-b6911321c7c6 · outbound

This paper cites ISCAS Benchmark Circuits for Logic Synthesis and Verification,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage ISCAS Benchmark Circuits for Logic Synthesis and Verification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.085851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ef9160c1-2afe-4217-8cc8-f6881cc4095f · outbound

This paper cites The EPFL Combinational Benchmark Suite,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage The EPFL Combinational Benchmark Suite,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.075220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f499002-b986-44d5-bd0c-582310826741 · outbound

This paper cites CEP: Common Evaluation Platform,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage CEP: Common Evaluation Platform,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.064444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2be4908f-dcf0-4758-a20d-55333df3d5a4 · outbound

This paper cites SMOTE: synthetic minority over-sampling technique,.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage SMOTE: synthetic minority over-sampling technique,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.054657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1d4950c1-3a8d-4c5a-87a8-77b3b3870364 · outbound

This paper cites Available: https://eprint.iacr.org/2014/025.

POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage Available: https://eprint.iacr.org/2014/025

Reference 2014

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:04:45.229797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.