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Paper Citation Record · LEDGER

Resource-Constrained Affect Modelling via Variance Regularisation Pruning

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.27479.

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

pith.paper-citation-record.v1
2605.27479 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T19:54:06.216112Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

31 of 31 outbound references displayed

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  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

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Outbound references

Observation 9b537bd6-d175-4408-b885-c255a4b23453 · outbound

This paper cites Invariant Risk Minimization.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Invariant Risk Minimization

Reference 1

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local_arxiv, observed 2026-06-29T20:03:56.427797Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bb26ac47-cbbd-4d01-b097-1e6bb5e09534 · outbound

This paper cites Computers and Electrical Engineering123, 110038 (2025).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Computers and Electrical Engineering123, 110038 (2025)

Reference 2

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Observation fba60350-3a14-4fcf-87c0-78c2b05d0082 · outbound

This paper cites Scientific data11(1), 1306 (2024).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Scientific data11(1), 1306 (2024)

Reference 3

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Observation 2d4e8893-8cfe-4bfb-a0d2-9f33969b83d7 · outbound

This paper cites In: 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: 2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

Reference 4

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Observation 9819ce1d-0b68-4f04-a1cc-346158db1a6f · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning IEEE Transactions on Pattern Analysis and Machine Intelligence (2024)

Reference 5

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Observation 1c200c17-6e89-4e11-86d6-afec0c6ec99f · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 6

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local_arxiv, observed 2026-06-29T20:03:56.430075Z

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Observation 19c686a1-2f34-4243-ad38-ba8dd35c9699 · outbound

This paper cites IEEE Transactions on Affective Computing12(4), 1055–1068 (2019).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning IEEE Transactions on Affective Computing12(4), 1055–1068 (2019)

Reference 7

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Observation 9640db2a-66ab-4b63-9d40-153f0b76e172 · outbound

This paper cites Advances in neural information processing systems28 (2015).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Advances in neural information processing systems28 (2015)

Reference 8

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Observation 5609c848-7adc-4142-99bc-52edb59d0332 · outbound

This paper cites In: IEEE international conference on neural networks.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: IEEE international conference on neural networks

Reference 9

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Observation 31caeb11-cc9d-4ec8-ab10-19b2b54f6194 · outbound

This paper cites Sensors22(14), 5245 (2022).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Sensors22(14), 5245 (2022)

Reference 10

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Observation a1c74de6-584a-49ac-84c1-b0e6b91382bf · outbound

This paper cites In: Proceedings of the IEEE international conference on computer vision.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: Proceedings of the IEEE international conference on computer vision

Reference 11

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Observation aef380c4-d85c-4f88-a660-b7a6b394cb58 · outbound

This paper cites In: International conference on machine learning.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: International conference on machine learning

Reference 12

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Observation 2109a3c0-dfae-41fc-8f1f-e82987ea1aa4 · outbound

This paper cites Advances in neural infor- mation processing systems2(1989).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Advances in neural infor- mation processing systems2(1989)

Reference 13

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Observation 8110335f-734b-4782-afe7-3fab923cf95a · outbound

This paper cites SNIP: Single-shot Network Pruning based on Connection Sensitivity.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning SNIP: Single-shot Network Pruning based on Connection Sensitivity

Reference 14

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local_arxiv, observed 2026-06-29T20:03:56.434685Z

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Observation 77f2b972-655b-42b1-8650-6fb7206b16a2 · outbound

This paper cites Pruning Filters for Efficient ConvNets.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Pruning Filters for Efficient ConvNets

Reference 15

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Observation 4f196532-e36e-4fce-8825-9f90561df927 · outbound

This paper cites In: 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)

Reference 16

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Observation 23e4d160-fa38-40ea-a2f4-95f2dcf3eefd · outbound

This paper cites IEEE Transactions on Affective Computing15(2), 380–392 (2023).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning IEEE Transactions on Affective Computing15(2), 380–392 (2023)

Reference 17

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Observation 6b6303db-3f87-463e-9541-3da3093d5a1a · outbound

This paper cites In: 2019 8th international conference on affective computing and intelligent interaction (acii).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: 2019 8th international conference on affective computing and intelligent interaction (acii)

Reference 18

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Observation d7084769-a7c1-4a15-8722-ea61e7da7ed0 · outbound

This paper cites IEEE Transactions on Affective Computing13(4), 2171–2184 (2022).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning IEEE Transactions on Affective Computing13(4), 2171–2184 (2022)

Reference 19

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Observation b4930216-b4d2-46e9-9615-749c1161ffd0 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

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Observation 9f648e4e-d428-4143-9e23-d2893a263c9c · outbound

This paper cites In: HCI (1).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: HCI (1)

Reference 21

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Observation d3adfdf3-1984-4f93-836f-e614a7916b81 · outbound

This paper cites In: Proceedings of the 27th International Conference on Multimodal Interaction.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: Proceedings of the 27th International Conference on Multimodal Interaction

Reference 22

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Observation 98dcb5f6-6628-432d-b45d-a48b19055b0a · outbound

This paper cites In: European Conference on Computer Vision.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: European Conference on Computer Vision

Reference 23

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Observation 78b0847c-9156-4361-9d14-24e058e5199c · outbound

This paper cites In: 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII)

Reference 24

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Observation 6674cfbb-63cb-4fcf-910b-e31af21eb3f0 · outbound

This paper cites In: 2013 10th IEEE international conference and workshops on automatic face and gesture recognition (FG).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning In: 2013 10th IEEE international conference and workshops on automatic face and gesture recognition (FG)

Reference 25

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Observation 61df3d92-d908-45b8-a8a1-ffe266ec5668 · outbound

This paper cites Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization

Reference 26

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local_arxiv, observed 2026-06-29T20:03:56.425338Z

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Observation 8c614024-cd3c-42da-9906-ad66c862cefc · outbound

This paper cites Learning Annotation Consensus for Continuous Emotion Recognition.

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Learning Annotation Consensus for Continuous Emotion Recognition

Reference 27

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arxiv_id, observed 2026-06-29T20:03:56.422719Z

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Observation fc3a26b4-0015-46dc-83ea-84011f489884 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering (2025).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning IEEE Transactions on Knowledge and Data Engineering (2025)

Reference 28

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Observation 1607e44a-6f44-46af-a1e5-97687d5d8337 · outbound

This paper cites Advances in neural information processing systems33, 6377–6389 (2020).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Advances in neural information processing systems33, 6377–6389 (2020)

Reference 29

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Observation a5a5ce20-4563-42ff-b23d-ce055e2c3aaf · outbound

This paper cites Ieee Access10, 63280–63300 (2022).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Ieee Access10, 63280–63300 (2022)

Reference 30

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Observation 846f0689-1ae8-4393-a521-6b0cf535a95a · outbound

This paper cites Proceedings of the IEEE111(10), 1423–1444 (2023).

Resource-Constrained Affect Modelling via Variance Regularisation Pruning Proceedings of the IEEE111(10), 1423–1444 (2023)

Reference 31

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Pith citing papers

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