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Paper Citation Record · LEDGER

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts

As of 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2603.28919.

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

pith.paper-citation-record.v1
2603.28919 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T16:04:03.659837Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

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

22 of 22 outbound references displayed

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External citation measurements

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Outbound references

Observation 348186af-9da4-4b35-b768-cb4e565dd849 · outbound

This paper cites The marginal value of momentum for small learning rate SGD.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts The marginal value of momentum for small learning rate SGD

Reference 1

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:5f0cfeb724ef00b10b2867e0f41f3c50e14111811954df4318263736db22a36b

Observation 20825933-a9e3-4593-b9aa-57c1f0bee8d4 · outbound

This paper cites Deep residual learning for image recognition.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Deep residual learning for image recognition

Reference 2

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:9f45cf1bcdecc3700401b2d18b409957430b56320082ef0d51396ff12dfc1ffb

Observation fd97828f-68bb-4ca8-a6a1-a0558726bbbf · outbound

This paper cites Adaptive Momentum and Nonlinear Damping for Neural Network Training.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Adaptive Momentum and Nonlinear Damping for Neural Network Training

Reference 3

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:0f3bdbb0ad90afce275cfb658ed06debb7be9d836c19dcdf8856d7e0bf73256f

Observation 936b5ce1-b193-463b-be2d-efbf54d8c566 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Adam: A Method for Stochastic Optimization

Reference 4

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:9e4f643bb62e131697099227b7b51399e1f4d9914670372bbbf4643de02b310c

Observation 06f2ec07-a3c2-4856-8923-20c4fdf3b528 · outbound

This paper cites Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Rusu, Kieran Milan, John Quan, Tiago Ramalho, Agnieszka Grabska-Barwinska, et al

Reference 5

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:dd970cf8edff83af1484c17046267d976b465c550bfdbd2d012819315294c561

Observation 47d34d4a-c63f-4e30-bdc8-9bd3c34b18e1 · outbound

This paper cites Learning multiple layers of features from tiny images.Technical report, Univer- sity of Toronto, 2009.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Learning multiple layers of features from tiny images.Technical report, Univer- sity of Toronto, 2009

Reference 6

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:feb1442317539ed0a5aa84c81da7e704209ae0d837abd0ddf3577f15361dccaa

Observation 56bbaa05-61f9-433d-bafb-b7233fa1caa0 · outbound

This paper cites Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, and Chelsea Finn.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Chen, Fahim Tajwar, Ananya Kumar, Huaxiu Yao, Percy Liang, and Chelsea Finn

Reference 7

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:b769113070ee23c0e060cbcbf332e2ea7293932d0af85e9284f54f5f7418dd7b

Observation cb38175f-f59b-4a8e-b58a-b08ecca7424b · outbound

This paper cites Decoupled Weight Decay Regularization.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Decoupled Weight Decay Regularization

Reference 8

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:417e89441c6a248e5c94ad25aba7e7d82862ae13bd9492a46dc8c0e0f1ec64b7

Observation d31d3994-32e5-4b9d-a27f-cd686bdb4921 · outbound

This paper cites Locating and editing factual associations in GPT.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Locating and editing factual associations in GPT

Reference 9

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:8a4ff76427fd5edb1d605f350d8c25ed759e9c6d7eac34f8b5fb64d8384e7abd

Observation 6f0f4e07-e585-4e77-a744-6c054025cb70 · outbound

This paper cites Mass-editing memory in a transformer.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Mass-editing memory in a transformer

Reference 10

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:a2310f90c920553c17e511c4aea1980921ef5390d9e06a105afddf5220e44344

Observation b636c89d-25fd-48f7-997b-f77453199dcd · outbound

This paper cites A method for solving the convex programming problem with convergence rate O(1/k2).Proceedings of the USSR Academy of Sciences, 269:543–547, 1983.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts A method for solving the convex programming problem with convergence rate O(1/k2).Proceedings of the USSR Academy of Sciences, 269:543–547, 1983

Reference 11

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Observation 0ef75c4f-5159-4890-b8a5-79ad2a849db9 · outbound

This paper cites an unresolved cited work.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Unresolved cited work

Reference 12

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Observation 95456ff0-0ae5-4f31-aedd-6493b78162ad · outbound

This paper cites On the momentum term in gradient descent learning algorithms.Neural Networks, 12(1):145–151, 1999.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts On the momentum term in gradient descent learning algorithms.Neural Networks, 12(1):145–151, 1999

Reference 13

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Observation 86d456b8-59c8-4405-b062-3388a2c17139 · outbound

This paper cites Du, Michael I.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Du, Michael I

Reference 14

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Observation d84a93db-d622-437a-8259-dc68a854c230 · outbound

This paper cites Cyclical Learning Rates for Training Neural Networks.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Cyclical Learning Rates for Training Neural Networks

Reference 15

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:374462757ac4ba6cbe65bc3e43cf3f3e34156ca3a34259efe91d33b31832a8c3

Observation 1ff4a2a1-924b-45a0-b6af-88f318a261bb · outbound

This paper cites Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Super-Convergence: Very Fast Training of Neural Networks Using Large Learning Rates

Reference 16

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Observation bd805053-b28a-4316-80a4-44773fde2c24 · outbound

This paper cites Smith and Nicholay Topin.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Smith and Nicholay Topin

Reference 17

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:a7a2c73c1d26de4813dc4e41b32b5a34ef9073cc27de7e3ab73124122a604412

Observation 755c7efb-364f-4b74-9cb9-bc036a177843 · outbound

This paper cites an unresolved cited work.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Unresolved cited work

Reference 18

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:63e084ebbe577c3c48121434c11a4f23acde10c323cc1f48e319572d7f94e60c

Observation 10ab34f8-e796-4199-8dc8-a78e668f6dc5 · outbound

This paper cites On the importance of initial- ization and momentum in deep learning.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts On the importance of initial- ization and momentum in deep learning

Reference 19

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Observation 810dc0b8-3fa5-444a-aa3b-c7425e30aa97 · outbound

This paper cites Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, and Benjamin Recht.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, and Benjamin Recht

Reference 20

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:d10a8f3cf23bc267b5f1e53f38a57566bc1bc219643ec8bc95f0e3db5e5c21bd

Observation 6b3f6195-f995-4cd8-b17c-27b973712509 · outbound

This paper cites Hierarchical alignment: Surgical fine-tuning via functional layer specialization in large language models.arXiv preprint arXiv:2510.12044, 2025.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Hierarchical alignment: Surgical fine-tuning via functional layer specialization in large language models.arXiv preprint arXiv:2510.12044, 2025

Reference 21

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source=pdf_text observed=2026-07-13T16:04:03.659837Z digest=sha256:26f976d1a2ada2c7e42ddafc8537d32adaa102308b699787098164a548caef19

Observation a7e97ba6-73e4-4bb9-8dbd-972fe09300d2 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Why That Robot? A Qualitative Analysis of Justification Strategies for Robot Color Selection Across Occupational Contexts Representation Engineering: A Top-Down Approach to AI Transparency

Reference 22

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Pith citing papers

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