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Paper Citation Record · LEDGER

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification

As of 19 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.19122.

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

pith.paper-citation-record.v1
2607.19122 v1

Coverage vector

measured 27 of 27 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T13:26:03.013841Z

measured 27 of 27 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

27 of 27 outbound references displayed

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Outbound references

Observation df4675c0-770f-437c-af4f-8677b90cb4cf · outbound

This paper cites Continual repre- sentation learning for biometric identification,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Continual repre- sentation learning for biometric identification,

Reference 1

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Observation 4544bd97-d9aa-4402-81cb-304620263e48 · outbound

This paper cites Continual learning in sensor-based human activity recognition with dynamic mixture of experts,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Continual learning in sensor-based human activity recognition with dynamic mixture of experts,

Reference 2

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Observation 9a832313-9f37-4120-a580-aa6bbead0647 · outbound

This paper cites Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Enhancing biometric authentication privacy and security: A synergistic approach using cancelable biometrics and federated learning,

Reference 3

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Observation c1d379d1-ce1a-4ba7-8788-1cc6c39d9467 · outbound

This paper cites Privacy-preserving continuous authentication using behavioral biometrics,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Privacy-preserving continuous authentication using behavioral biometrics,

Reference 4

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Observation e9f756fa-3f32-4430-b43d-09121d003813 · outbound

This paper cites Personalized federated continual learning for task-incremental biometrics,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Personalized federated continual learning for task-incremental biometrics,

Reference 5

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source=pdf_text observed=2026-08-01T13:26:00.512110Z digest=sha256:90f8df7357047b85edd0aad64b912cf5d3e84192e7884b5997e644439aa2c50c

Observation 6ae67440-eeff-46ee-a0ce-2271d62e5cf8 · outbound

This paper cites Differential privacy preservation in robust continual learning,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Differential privacy preservation in robust continual learning,

Reference 6

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source=pdf_text observed=2026-08-01T13:26:00.599324Z digest=sha256:0bd53d99595b97b9fec72e7d6500fe2ea1860d1c96d33c1e21566b8385fa1f51

Observation 08cbb3f4-9d22-41d6-bbb7-ac1c7185c51c · outbound

This paper cites Survey on replay-based continual learning and empirical validation on feasibility in diverse edge devices using a representative method,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Survey on replay-based continual learning and empirical validation on feasibility in diverse edge devices using a representative method,

Reference 7

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Observation a162ff88-eab4-4cd9-a6c9-04145a5b7d2c · outbound

This paper cites Continual learning for lidar semantic segmentation: Class-incremental and coarse-to-fine strategies on sparse data,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Continual learning for lidar semantic segmentation: Class-incremental and coarse-to-fine strategies on sparse data,

Reference 8

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Observation 6d50a41c-305d-477f-9d16-ec86c2da9eb9 · outbound

This paper cites Film: visual reasoning with a general conditioning layer,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Film: visual reasoning with a general conditioning layer,

Reference 9

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Observation b4cb54f4-45b2-4992-b2a5-5d5c60880b05 · outbound

This paper cites Combining variational continual learning with fiLM layers,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Combining variational continual learning with fiLM layers,

Reference 10

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Observation 30e45415-e0ec-49ac-ba29-5f516452ddf8 · outbound

This paper cites Diffusion-driven data replay: A novel approach to combat forgetting in federated class continual learning,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Diffusion-driven data replay: A novel approach to combat forgetting in federated class continual learning,

Reference 11

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Observation 570cc237-c88b-4846-8984-cfcc809c40c2 · outbound

This paper cites A survey on membership inference attacks and defenses in machine learning,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification A survey on membership inference attacks and defenses in machine learning,

Reference 12

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Observation 3b27f64d-bab2-4cdd-af30-723156a43997 · outbound

This paper cites Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning

Reference 13

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source=pdf_text observed=2026-08-01T13:26:01.091340Z digest=sha256:7bd09d90449f6599e9280bd7250a1461a2f04b76a198a63b608c4ce88493f7f9

Observation a764be0c-3615-47b2-9285-e5033317950a · outbound

This paper cites Membership inference attacks from first principles,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Membership inference attacks from first principles,

Reference 14

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Observation 934e0d0b-478b-488f-981e-edf84cbb5b94 · outbound

This paper cites Privacy risk in machine learning: Analyzing the connection to overfitting,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Privacy risk in machine learning: Analyzing the connection to overfitting,

Reference 15

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Observation 65a8f832-a87e-4960-ac7d-942ad522c4f8 · outbound

This paper cites Fingerprint membership and identity inference against generative adversarial networks,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Fingerprint membership and identity inference against generative adversarial networks,

Reference 16

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Observation fda1914b-5a4c-49c5-b065-ef5455ef304e · outbound

This paper cites Is my data in your ai? membership inference test (mint) applied to face biometrics,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Is my data in your ai? membership inference test (mint) applied to face biometrics,

Reference 17

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Observation 4effa427-bc5f-441f-b237-fb941b6268e6 · outbound

This paper cites Deep learning-based gait recognition using smartphones in the wild,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Deep learning-based gait recognition using smartphones in the wild,

Reference 18

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Observation c894def2-fe56-49af-8271-7f792ac2ee37 · outbound

This paper cites Ternary neural networks for gait identification in wearable devices,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Ternary neural networks for gait identification in wearable devices,

Reference 19

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Observation 0f65e2f4-b781-48d2-9f5d-5a870dd56c84 · outbound

This paper cites GaitAdapt: Continual Learning for Evolving Gait Recognition.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification GaitAdapt: Continual Learning for Evolving Gait Recognition

Reference 20

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Observation dd3da027-ef93-4c33-b771-adf2360f8285 · outbound

This paper cites Comparing the powers of the wald- wolfowitz and kolmogorov-smirnov tests,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Comparing the powers of the wald- wolfowitz and kolmogorov-smirnov tests,

Reference 21

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Observation 0d2d005f-1b6a-4ff1-8cc2-a9880cbc8704 · outbound

This paper cites A two-dimensional mapping with a strange attractor,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification A two-dimensional mapping with a strange attractor,

Reference 22

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Observation ce309669-3c3c-428a-8f6f-8ecf6fb51917 · outbound

This paper cites Simple mathematical models with very complicated dy- namics,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Simple mathematical models with very complicated dy- namics,

Reference 23

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Observation dd95a977-7971-4daf-9ea3-4bf90e21957b · outbound

This paper cites Analytic study of chaos of the tent map: band structures, power spectra, and critical behaviors,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Analytic study of chaos of the tent map: band structures, power spectra, and critical behaviors,

Reference 24

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Observation dcdb6dbf-2161-4d92-b03b-907d66123e12 · outbound

This paper cites Computationally easy, spectrally good multipliers for congruential pseudorandom number generators,.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Computationally easy, spectrally good multipliers for congruential pseudorandom number generators,

Reference 25

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Observation 1e2632e8-c9b7-4cae-bfb9-04a10635befd · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 2656445.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Available: https://api.semanticscholar.org/CorpusID: 2656445

Reference 2017

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Observation 862f1737-5c33-4008-a278-9f11c16796e4 · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 280526810.

Code Division Modulation Layers Against Forgetting and Inference in Continual Gait Identification Available: https://api.semanticscholar.org/CorpusID: 280526810

Reference 2025

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Pith citing papers

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