Paper Citation Record · LEDGER

Locality-aware Surrogates for Gradient-based Black-box Optimization

As of 23 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2501.19161.

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

pith.paper-citation-record.v1
2501.19161 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:11:41.886849Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

48 of 48 outbound references displayed

verified exact1
verified fuzzy27
unresolved19
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9eb10d9-760e-414d-9a22-1513646c8e34 · outbound

This paper cites write newline.

Locality-aware Surrogates for Gradient-based Black-box Optimization write newline

Reference 1

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Source-reported events for the cited work

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Observation 8efeb3ee-bc24-48c3-a022-ab5b5c77ffa3 · outbound

This paper cites J., Lu, W., Chang, M.-F., Ielmini, D., Yang, Y., et al.

Locality-aware Surrogates for Gradient-based Black-box Optimization J., Lu, W., Chang, M.-F., Ielmini, D., Yang, Y., et al

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.882722Z

Source-reported events for the cited work

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Observation 2f297b7c-3a7a-47c6-add0-4986b18c7d74 · outbound

This paper cites Multi-objective optimization in material design and selection.

Locality-aware Surrogates for Gradient-based Black-box Optimization Multi-objective optimization in material design and selection

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.862801Z

Source-reported events for the cited work

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Observation 932534fd-4bd6-4c74-86e6-d5d791251fa8 · outbound

This paper cites E., and Francone, F.

Locality-aware Surrogates for Gradient-based Black-box Optimization E., and Francone, F

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.844068Z

Source-reported events for the cited work

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Observation 8ddd2761-c0b2-4bba-8b1b-773cc00d16fd · outbound

This paper cites Single-shot optical neural network.

Locality-aware Surrogates for Gradient-based Black-box Optimization Single-shot optical neural network

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.825731Z

Source-reported events for the cited work

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Observation eed6f53c-4e87-4b80-9aee-40dd3f017e3b · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 6

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Source-reported events for the cited work

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Observation 0549177d-cbc7-43c1-ade2-da9d9535fb5f · outbound

This paper cites Conditioning by adaptive sampling for robust design.

Locality-aware Surrogates for Gradient-based Black-box Optimization Conditioning by adaptive sampling for robust design

Reference 7

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Source-reported events for the cited work

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Observation e79bf63e-ff00-423d-8f26-106e7daea868 · outbound

This paper cites N., and Doppa, J.

Locality-aware Surrogates for Gradient-based Black-box Optimization N., and Doppa, J

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.768427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation faddb829-28b8-49e8-b3d2-376555c0fbe4 · outbound

This paper cites C., Le Nguyen, P., Truong, T.

Locality-aware Surrogates for Gradient-based Black-box Optimization C., Le Nguyen, P., Truong, T

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.751331Z

Source-reported events for the cited work

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Observation 00822f36-3296-4d32-9347-4e0f1b5ae5a7 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 10

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Source-reported events for the cited work

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Observation 8341dc5b-8615-4ff0-9132-10333b84ee45 · outbound

This paper cites A differentiable physics engine for deep learning in robotics.

Locality-aware Surrogates for Gradient-based Black-box Optimization A differentiable physics engine for deep learning in robotics

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.709809Z

Source-reported events for the cited work

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Observation 7472134e-3c67-4a9a-bb8b-56c21bd0adb8 · outbound

This paper cites CktGNN: Circuit Graph Neural Network for Electronic Design Automation.

Locality-aware Surrogates for Gradient-based Black-box Optimization CktGNN: Circuit Graph Neural Network for Electronic Design Automation

Reference 12

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Source-reported events for the cited work

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Observation b1b7da90-d20a-41fb-9c05-8e2a048754a4 · outbound

This paper cites D., and Poloczek, M.

Locality-aware Surrogates for Gradient-based Black-box Optimization D., and Poloczek, M

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.690181Z

Source-reported events for the cited work

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Observation 1e50129a-43b5-4b61-8c70-88d5674434b3 · outbound

This paper cites and Listgarten, J.

Locality-aware Surrogates for Gradient-based Black-box Optimization and Listgarten, J

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.670226Z

Source-reported events for the cited work

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Observation e98e173f-2c8b-4d56-8519-08063336a9fa · outbound

This paper cites TorchOptics: An open-source Python library for differentiable Fourier optics simulations.

Locality-aware Surrogates for Gradient-based Black-box Optimization TorchOptics: An open-source Python library for differentiable Fourier optics simulations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T21:11:41.695786Z

Source-reported events for the cited work

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Observation 4f65a2eb-d9a1-4ffb-8381-cd287a40dc4e · outbound

This paper cites Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation.

Locality-aware Surrogates for Gradient-based Black-box Optimization Offline Model-Based Optimization via Normalized Maximum Likelihood Estimation

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-09T21:11:42.042205Z

Source-reported events for the cited work

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Observation b7b5e85c-adb1-458a-8118-08dee8b66146 · outbound

This paper cites Backpropagation through the Void: Optimizing control variates for black-box gradient estimation.

Locality-aware Surrogates for Gradient-based Black-box Optimization Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Reference 17

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Source-reported events for the cited work

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Observation 9eeb69ec-1d60-4d14-8396-1502141b11df · outbound

This paper cites H., and Leyton-Brown, K.

Locality-aware Surrogates for Gradient-based Black-box Optimization H., and Leyton-Brown, K

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.651430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5675c345-e87b-458c-b482-637decd26cea · outbound

This paper cites L., Davenport, J.

Locality-aware Surrogates for Gradient-based Black-box Optimization L., Davenport, J

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.631299Z

Source-reported events for the cited work

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Observation 8afde7d1-9cf1-47bc-a0a5-36100dbeb7ea · outbound

This paper cites Generative Pretraining for Black-Box Optimization.

Locality-aware Surrogates for Gradient-based Black-box Optimization Generative Pretraining for Black-Box Optimization

Reference 20

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Source-reported events for the cited work

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Observation 433f3b0d-270e-489f-82a9-24d45cc99d2f · outbound

This paper cites and Levine, S.

Locality-aware Surrogates for Gradient-based Black-box Optimization and Levine, S

Reference 21

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Source-reported events for the cited work

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Observation f98e18fc-44c8-42ac-8e97-caea90963e2f · outbound

This paper cites K., and Mishra, S.

Locality-aware Surrogates for Gradient-based Black-box Optimization K., and Mishra, S

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.577353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c8f93f73-f2dc-44e8-b4c6-ead6b5f183e7 · outbound

This paper cites Adversarial variational optimization of non-differentiable simulators.

Locality-aware Surrogates for Gradient-based Black-box Optimization Adversarial variational optimization of non-differentiable simulators

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.545031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 47971e78-419a-46f8-83e8-7493afc1d6aa · outbound

This paper cites G., and McMahon, P.

Locality-aware Surrogates for Gradient-based Black-box Optimization G., and McMahon, P

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.524973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3b90804b-2e9a-483b-8737-49e20d650547 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation fbd6ea81-d960-4537-8ecf-769001f85e6c · outbound

This paper cites K., Molina-Mendoza, A.

Locality-aware Surrogates for Gradient-based Black-box Optimization K., Molina-Mendoza, A

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.480759Z

Source-reported events for the cited work

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Observation dc3b4289-2677-40ee-ba8d-53c6dbdfe1a4 · outbound

This paper cites Monte carlo gradient estimation in machine learning.

Locality-aware Surrogates for Gradient-based Black-box Optimization Monte carlo gradient estimation in machine learning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.458826Z

Source-reported events for the cited work

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Observation 57ce6292-b8a5-44a2-aa03-446cba17d50d · outbound

This paper cites Backpropagation-free training of deep physical neural networks.

Locality-aware Surrogates for Gradient-based Black-box Optimization Backpropagation-free training of deep physical neural networks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.439713Z

Source-reported events for the cited work

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Observation 444db0f2-9995-46b6-bad9-cb83b0fa6a4c · outbound

This paper cites Phyff: Physical forward forward algorithm for in-hardware training and inference.

Locality-aware Surrogates for Gradient-based Black-box Optimization Phyff: Physical forward forward algorithm for in-hardware training and inference

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.419827Z

Source-reported events for the cited work

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Observation 451f2d1e-026b-4aa7-a882-b10e0acb1673 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 30

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Source-reported events for the cited work

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Observation b9cc38ec-5ec3-445e-9102-192a782e13e2 · outbound

This paper cites Optical Diffusion Models for Image Generation.

Locality-aware Surrogates for Gradient-based Black-box Optimization Optical Diffusion Models for Image Generation

Reference 31

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Observation 1c786bab-578d-4115-8e21-b29adce7e9e7 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Learning To Simulate

Reference 32

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Locality-aware Surrogates for Gradient-based Black-box Optimization S., Bolotin, D

Reference 33

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Observation 6997f076-28f2-4459-a905-1b4db13a1269 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization P., and De Freitas, N

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T21:11:41.806494Z

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Observation a6534694-8945-415c-8441-f287aff00ebf · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation cdef56ed-47e3-439f-8aaa-82350b2cf03b · outbound

This paper cites High-temperature superconductivity in iron pnictides and chalcogenides.

Locality-aware Surrogates for Gradient-based Black-box Optimization High-temperature superconductivity in iron pnictides and chalcogenides

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.339228Z

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Observation 9d181eea-2158-44f1-b28e-c04166c921a8 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 37

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Observation 6de730bb-6f94-4202-8651-cdec787d0c2e · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 38

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Source-reported events for the cited work

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Observation 7038e754-d337-4299-8920-6453bee4c5a4 · outbound

This paper cites The method of moving asymptotes—a new method for structural optimization.

Locality-aware Surrogates for Gradient-based Black-box Optimization The method of moving asymptotes—a new method for structural optimization

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.283131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3dd47e08-67ec-4e0e-9c94-416e31959d2d · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Conservative objective models for effective offline model-based optimization

Reference 40

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Source-reported events for the cited work

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Observation 2774bea6-8003-4d14-9be4-22260f5ff073 · outbound

This paper cites Stochastic zeroth-order optimization in high dimensions.

Locality-aware Surrogates for Gradient-based Black-box Optimization Stochastic zeroth-order optimization in high dimensions

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.247427Z

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Observation bbc2c811-3cde-43b5-afc2-a9676055b55e · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation 9da46b55-35d9-4b66-96e7-9a64bc97bf54 · outbound

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Locality-aware Surrogates for Gradient-based Black-box Optimization Unresolved cited work

Reference 43

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Observation ab0bba5f-f7ee-4325-a1e7-72a7290ae029 · outbound

This paper cites G., Onodera, T., Stein, M.

Locality-aware Surrogates for Gradient-based Black-box Optimization G., Onodera, T., Stein, M

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.183850Z

Source-reported events for the cited work

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Observation 126e2550-546d-448a-ac6e-971f96fe7495 · outbound

This paper cites J., and Qian, H.

Locality-aware Surrogates for Gradient-based Black-box Optimization J., and Qian, H

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.164458Z

Source-reported events for the cited work

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Observation 59ac2a91-db05-40c1-b9a3-14c80e26794e · outbound

This paper cites Roma: Robust model adaptation for offline model-based optimization.

Locality-aware Surrogates for Gradient-based Black-box Optimization Roma: Robust model adaptation for offline model-based optimization

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.144633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 93e59315-8dbf-4bc5-8e66-3e17a0c4b5ea · outbound

This paper cites Dual adaptive training of photonic neural networks.

Locality-aware Surrogates for Gradient-based Black-box Optimization Dual adaptive training of photonic neural networks

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.121320Z

Source-reported events for the cited work

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Observation 570c7b3c-35df-47fc-82ca-d5d3010b0b62 · outbound

This paper cites and Chai, Y.

Locality-aware Surrogates for Gradient-based Black-box Optimization and Chai, Y

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T21:11:42.099921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.