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Paper Citation Record · LEDGER

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning

As of 10 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2502.01830.

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

pith.paper-citation-record.v1
2502.01830 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:22:40.075760Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

45 of 45 outbound references displayed

  • verified exact4
  • verified fuzzy17
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6173ff99-ae59-4f29-ad53-aaf0801e11c9 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.829668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 852c93c5-ba23-469f-ad43-f7e719bd2b69 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-09T14:22:40.819092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.676849Z digest=sha256:dcce0829d4e3db1e07440fa50379164cec7309ceaeaa8ac12aa7eabea8a8e109

Observation 4d38a78f-698f-40f4-afe4-ea75406a1d7d · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 3

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unresolved
raw_fallback, observed 2026-08-09T14:22:40.809284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.690606Z digest=sha256:86edd3bd3408cd92c4f7639b8e223a4e66276faf8cfe5c09db9a76e55a4a8f97

Observation 43539e1b-c949-4c31-bcea-74ab16be3603 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.799159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.706028Z digest=sha256:7feb671a5a322b731f7354f9e13ab563150f076c5749ccc019f89e9b5eadbe09

Observation 8a06d211-6faa-4d05-90cd-95359b884cdd · outbound

This paper cites & Maute, K.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Maute, K

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.789665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.734124Z digest=sha256:00e4944f6a0fb1fe92fe9d0a02cb03ad8861a759306103f854978c7065e888ef

Observation fb6faad3-6c32-48eb-a9b1-c17edf0c55f3 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.779721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.761432Z digest=sha256:1b86662a347905acfe6cb64e0b8a278483b48b196d214d9bfca62c9738ec6c2e

Observation 1bcf6d85-fbf7-4ba2-8f09-9ced7d03997b · outbound

This paper cites A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning A Class of Globally Convergent Optimization Methods Based on Conservative Convex Separable Approximations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.769272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.794979Z digest=sha256:8de2a35dd5db3889f2de7b4acbc3923c88003f39c7ce042c6d58bdf8f2ea8273

Observation 9764cd14-159c-46a9-a65a-cb6d8aaf2ed5 · outbound

This paper cites A., Choi, Y.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning A., Choi, Y

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.759568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.823470Z digest=sha256:a38af2cff1230f3a65c514be00fb5fc3a1993e7a931c9cdea92e638d372c291f

Observation ea64f3a3-a594-4ba4-a20c-023d2323010b · outbound

This paper cites Neural reparameterization improves structural optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Neural reparameterization improves structural optimization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:39.854384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:39.854384Z digest=sha256:d6835006d043a87cd846089561578f8f71374ca4aa19de879b8b579a0b5f4286

Observation 4bfe1da7-61f4-4e13-9921-4e9094601795 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.749952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.884931Z digest=sha256:306d8c8087802b47cb574afdb680d61971306f0b179a54a29ee2535bb6f2a88f

Observation 5babbc06-bd5f-4f27-b4a6-023f0e29d1ba · outbound

This paper cites & Suresh, K.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Suresh, K

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.739793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.920996Z digest=sha256:8e328b9a231fb0343cece0e42234c79bba62dc7f22726d2cc4138d8b8a970cdb

Observation 2d99365c-a50c-4506-aa36-028fe5bf3272 · outbound

This paper cites M., Aragon, A.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning M., Aragon, A

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:39.938818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:39.938818Z digest=sha256:c8f74e34994e7e66ab81f24a1c9b22689856214cdfc366fe61d200d860029bb7

Observation b03ebba5-1f7d-45dd-9c16-8b36223f9921 · outbound

This paper cites Neural Networks for Generating Better Local Optima in Topology Optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Neural Networks for Generating Better Local Optima in Topology Optimization

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:22:40.272119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.942549Z digest=sha256:f41e9f802f32da2f5e99c0b7a5a5efd332d9563d974147d778f58d8cf2fbdf51

Observation 3ab6c0e5-f8ba-4365-9fc5-c541f0d0fc86 · outbound

This paper cites & Jacot, A.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Jacot, A

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.730228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.965883Z digest=sha256:b1e46c0c9d92efc7eb73d1acdb8d2b7e31e69ba0dbfc1e2aee6a30efa3b6936a

Observation e51e65a5-e317-4bbd-b763-ad47ccd7efe3 · outbound

This paper cites Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Length Scale Control in Topology Optimization using Fourier Enhanced Neural Networks

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:22:40.257184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.969986Z digest=sha256:04934d8d3ecc9c83d1c42a10d3dc3581e494d53301b1f7844efa26eb51022925

Observation 7da20c52-2dc3-4da2-9f5f-68e667f206c5 · outbound

This paper cites & Babaei, V.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Babaei, V

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.720282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.974395Z digest=sha256:1fbdc8d48647eab8542fe93fc24e1b02f1bcb6312954edf7fa7dbb7702c8fb18

Observation f97b74f5-65ef-488b-913b-8432785ed062 · outbound

This paper cites & Kara, L.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Kara, L

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.711055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.978466Z digest=sha256:de1f9de32d386b8f010e7f4339349c9e7d460a9f268a34d43203e2e547fefb9b

Observation 47a8eeab-0510-4daf-93b0-08930437a495 · outbound

This paper cites & Chen, P.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Chen, P

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.701203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.982171Z digest=sha256:1176a28415cff1c8103fa5a821d739999958e3a0033b36c22a75bd43b385c159

Observation afd6ff20-3733-4f5c-809d-6e04516bf962 · outbound

This paper cites NITO: Neural Implicit Fields for Resolution-free Topology Optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning NITO: Neural Implicit Fields for Resolution-free Topology Optimization

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:39.985938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:39.985938Z digest=sha256:4fa672ba496c756b220c5676c25ef05b8afe8d0aefe39ee2182a6f1287e344ca

Observation c86ca5ad-17be-4566-b35a-4d7e199e534c · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.691288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.989922Z digest=sha256:f2f98e61a074d4b3e807dd35177881cc92f56b2c5d8fb66febd31a7fd7fc7cee

Observation 03fc7cc3-acf3-422b-a20b-b06a07048d4f · outbound

This paper cites & Storkey, A.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Storkey, A

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.681791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:39.993041Z digest=sha256:4cd9a10b62ce19270ca168f472a8dabccb0b08c79f060380af34b6cf49144bd6

Observation 71c64219-6b0c-46bb-ac85-068fe21ab259 · outbound

This paper cites Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:39.996013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:39.996013Z digest=sha256:362404c3d8df168c538d82a7daca5df329ba626acf9c43278805bcab5aa82555

Observation a01825e4-966b-46d1-bf21-e7dc4b6044d9 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning On First-Order Meta-Learning Algorithms

Reference 23

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unresolved
no resolver link, observed 2026-08-09T14:22:39.999557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:39.999557Z digest=sha256:ce3618f285a0e561117286ec0a2b0a7a6ae2b1cd4657d4c2f799c2f99653a957

Observation aba7e839-aff5-4b11-8972-b59338817318 · outbound

This paper cites & Wetzstein, G.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Wetzstein, G

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.672390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.003103Z digest=sha256:cc8e1b1d6c290b7602c4ce1b69d02b8fc0942a7589660be3d76c4d9b514988f7

Observation 386b6562-baa6-4721-8dbe-abd056167452 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.662464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.006186Z digest=sha256:e703d2d8984e9e6ac4b2ecf65f7e01f923aa7baf1269a3455578285a6a3e6814

Observation 040c0ff2-e184-4ccf-8f93-002dfd8baa3a · outbound

This paper cites On the use of Artificial Neural Networks in Topology Optimisation.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning On the use of Artificial Neural Networks in Topology Optimisation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.009335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.009335Z digest=sha256:5d1eabc2262cce90037936f622a1d1e588e0a20505d68789f4b80a789c00b52b

Observation a3c85680-4241-4f47-95b2-9d4608179123 · outbound

This paper cites & Kang, N.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Kang, N

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.651717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.012811Z digest=sha256:c052d6ee72d06a76515b4fd633428395e624c65a1e5d32ee4d069356df9ae98c

Observation bbf9d90d-bc19-49c6-83e0-aba145dc0bf2 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.640644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.016158Z digest=sha256:367f89e76dbdac27d3c47b1df5a7388e1c6bcc41b69bfa02e5e3690187052a9c

Observation 7e6b9e1e-ee34-46ed-b548-e284779cce68 · outbound

This paper cites & Thomaszewski, B.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Thomaszewski, B

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.631011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.019252Z digest=sha256:e9a7c70b3ac97cf7383c198d3a8506616df4ab2d61268a708a03a86ccd32d5b2

Observation 78893a8e-9ef2-42b2-bdc4-9418ec7e08c9 · outbound

This paper cites How to train your MAML.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning How to train your MAML

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.022247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.022247Z digest=sha256:081adb3ce0c8a0b20b87325cfb20a4701a9b277307ba94f54b55ee51001ac7ca

Observation f9bd8986-eea4-4533-8167-933c1f9dd166 · outbound

This paper cites A Survey of Deep Meta-Learning.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning A Survey of Deep Meta-Learning

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:22:40.192751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.025524Z digest=sha256:d749f003c2223bb7f228306b533a0b0e13d7ebbe9d58ce175b2d8f14ad9d002c

Observation 08ea466e-2d07-4e8d-a282-e60b278481a5 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Adam: A Method for Stochastic Optimization

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.029189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.029189Z digest=sha256:8add1ba1098e3ef9dbd24038f5897bdfc7da580dfc152dadeb86b8668ca12cab

Observation 1e84d6e4-c299-47bc-9bfa-e6a72f3ee659 · outbound

This paper cites Neural networks for topology optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Neural networks for topology optimization

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:22:40.167492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.032483Z digest=sha256:5edca4f01647d2c745635a0e71a4a0dbd07cc0d891b4212e40c2c0df3673af9f

Observation 34efa45a-724a-4cfb-81b6-14233c931f6d · outbound

This paper cites Diffusion Models Beat GANs on Topology Optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Diffusion Models Beat GANs on Topology Optimization

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.036170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.036170Z digest=sha256:ef32763fed59ffebe8cf0cbff1533801abaf418e4a010a8fa56d8ace8bbf2420

Observation 1b2cd08d-ac5d-4c25-ad06-dcff16fe67c1 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.621502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.039935Z digest=sha256:cf5fe440bd998e118bfabba85eb227ca8f018f3de285fdbd213fc2344c45c213

Observation 3c872237-4a21-492f-a566-a8e80fd6c6c9 · outbound

This paper cites On benchmarking and good scientific practise in topology optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning On benchmarking and good scientific practise in topology optimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.611408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.043611Z digest=sha256:928fce7cb9bb9b4f56b3c7ff06d7cff678600cdb5bb55999c999cec63d56327e

Observation d6bdc5fb-1992-4ab1-993f-6e32737cfc6d · outbound

This paper cites Benchmarking Optimization Software with Performance Profiles.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Benchmarking Optimization Software with Performance Profiles

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.047827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.047827Z digest=sha256:b95b2e2a33a7439e3b72029b4b5d2f096140d15266ed3ecbd0c623f48d7d2878

Observation c7cde302-4092-4864-a2af-5f430958cb39 · outbound

This paper cites & Stolpe, M.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Stolpe, M

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.600810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.051890Z digest=sha256:dc6081f980f77ec23d8661d087c19976c40266e431b622d51e6c897a0653271a

Observation c98fb7e2-4d88-4944-b405-1793957f2041 · outbound

This paper cites Meta-SGD: Learning to Learn Quickly for Few-Shot Learning.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.055549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.055549Z digest=sha256:f694620e0dab924db939bbde6a8d4a67251d3bfe09c8b9b79618018f957ca5e4

Observation 133e149d-63af-4f82-a27d-1f874e42fbaa · outbound

This paper cites E., Sarkar, S.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning E., Sarkar, S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.591105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.059418Z digest=sha256:ccf9fa550216f882bf598a1edce085b1a021dad3bc161779bda7b9a343b21b6a

Observation 494f2914-cabd-4e75-8fab-d1f21b49ec62 · outbound

This paper cites & Burak Kara, L.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning & Burak Kara, L

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.580058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.062375Z digest=sha256:d22c9d07119f2e015c4b56bf75ecc103ab72f23e961ad261c48bcee3ccf33ca0

Observation e7564085-14ca-49c4-8fc1-b54636abb5a9 · outbound

This paper cites Filters in topology optimization.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Filters in topology optimization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:22:40.568719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.065594Z digest=sha256:b49870a4c6b3d477349b63eb8e66bcca4703e35655dc71561ff8700f62fa4ce2

Observation 40a62d6f-8952-4c6f-a75c-7d75f51744bc · outbound

This paper cites MetaSDF: Meta-learning Signed Distance Functions.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning MetaSDF: Meta-learning Signed Distance Functions

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.068839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.068839Z digest=sha256:551e2d9573829785dba8e83852b7bc68aad5ee8f9611a57ada5d72aed055151c

Observation 5c8107f1-62a6-4dc9-8272-5c8bd2e10932 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T14:22:40.072386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:22:40.072386Z digest=sha256:38805ade0ee31fd3a00687598cda3f72d8c0c3f7c81aa9f25d8cc400059b5c3f

Observation 0335f0cc-4fd7-4481-8ec4-364e3b3b6c43 · outbound

This paper cites an unresolved cited work.

Meta-neural Topology Optimization: Knowledge Infusion with Meta-learning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:22:40.556828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T14:22:40.075760Z digest=sha256:5987d5c05084ae3aa592dde12d5c35c27775431af302e3925416e7d37fd6234b

Pith citing papers

No inbound Pith citation observations are available.