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Paper Citation Record · LEDGER

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions

As of 21 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.11555.

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

pith.paper-citation-record.v1
2607.11555 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T04:48:14.980753Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

65 of 65 outbound references displayed

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External citation measurements

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Outbound references

Observation 29a4953c-6452-4924-8ee8-98da3cf3aaa6 · outbound

This paper cites 1990 , publisher=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 1990 , publisher=

Reference 1

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:6e132f9c443637737d5e0c2b22449e90ef1395d71eeb951d1761457f02b11470

Observation 864d102f-e3d7-40d9-9cda-bf72671f208a · outbound

This paper cites The mathematical intelligencer , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions The mathematical intelligencer , volume=

Reference 2

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:29fcd1dfdd8deb664dab322a36c73e3e5bf815f5ff2b395ae2a5e8c8229bcfb2

Observation a892ce63-57db-41a4-a26b-4f80edcf87b4 · outbound

This paper cites Proceedings of the Royal Society of London.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the Royal Society of London

Reference 3

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:22feb2ea99c19007ace2a485992b7917ca204a357e395a1788ec3434e1f19adc

Observation 49c6cc10-51a5-4d55-8568-9c58fdb3a7c6 · outbound

This paper cites Advances in Neural Information Processing Systems , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , pages=

Reference 4

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:b6b459ce38220c3acc5eb0c9eeaaf7f719cb604755391edf5413f3cb7a746b7b

Observation ae9ae184-269c-45d1-b5fa-6b0e6a6dbdbf · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the AAAI Conference on Artificial Intelligence , year=

Reference 5

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:f8afadd4328524185f72c518321beef6128c6854fe14b507d7ed0dc4075be874

Observation d28196d9-80f9-4d98-943d-3b2e5fb10d6f · outbound

This paper cites MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of the Convergence Complexity of High-Dimensional Chains.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions MCMC-Based Inference in the Era of Big Data: A Fundamental Analysis of the Convergence Complexity of High-Dimensional Chains

Reference 6

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:6806013e85573290cef5eaa2ddfc27f1d1c4011419173c755eb3f0895bed90c7

Observation 1d7eba98-2e13-48ac-9dfc-56cf5b391cc4 · outbound

This paper cites arXiv preprint arXiv:2504.11516 , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions arXiv preprint arXiv:2504.11516 , year=

Reference 7

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:6084d80d7c0e7ad68d481c84899fbabbdaaf98431509dfcc7f7162f0d069f0eb

Observation 7ea3d915-5588-44d1-a1ff-60fc7743bab1 · outbound

This paper cites Neural computation , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Neural computation , volume=

Reference 8

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:26c1c12ef7153b6cf8bd5b9d2bcd2b08ae1f9d573c5cb0a09eea2c4d45922003

Observation c036c5d2-1f5b-4338-bf10-4d605fad847c · outbound

This paper cites The Third Blogpost Track at ICLR , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions The Third Blogpost Track at ICLR , year=

Reference 9

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:ae9cfaa291406ead6dd97e45817378ed13392d28b29893a63d2a5e931fbc5fee

Observation 572bc6d2-0121-4328-9c57-b6f5b58b4876 · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 10

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:4ca92c6c80c1cc0101ad0e33e254e806b71fbfb3280184fd7a5d6fe10be19607

Observation f5c1f7c1-5ecf-43fd-8bd8-a2bae413b6a4 · outbound

This paper cites Integer Programming and Combinatorial Optimization , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Integer Programming and Combinatorial Optimization , pages=

Reference 11

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:e1d56b12ddd5eef61f7d012b030b0507b7573096e037cd2564d29eb86fa1af78

Observation 630e150a-c971-4459-ba78-25a923b25ffa · outbound

This paper cites Energy-Based Transformers are Scalable Learners and Thinkers.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Energy-Based Transformers are Scalable Learners and Thinkers

Reference 12

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:664a785d9f00bae9a5e5ccb37dff241632543130214fa4b672299f1da371e419

Observation 28487b0c-78ea-4c67-a0fd-fa079c38c5ef · outbound

This paper cites Advances in neural information processing systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in neural information processing systems , volume=

Reference 13

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:99ebdfa375185404e9259fe2596b1c8a5a164b94ae15d4e1a5f45b5199760968

Observation 37f6c2f2-9343-4182-9d0f-94a9a9d29a0c · outbound

This paper cites Advances in neural information processing systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in neural information processing systems , volume=

Reference 14

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:927562f5932ab3c93aaebadb1a471be3e8ea937a95be9f9a0e9c034dd24f7c25

Observation cf5ce9af-6006-4966-86d5-31e545dad5b4 · outbound

This paper cites International Conference on Learning Representations , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International Conference on Learning Representations , year=

Reference 15

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:28803679e39c8399666eecb28ffac46509ff9235e23c711d330dc4c0c94359f4

Observation 613dfcd9-889a-4fb4-aae1-24a2bd82176e · outbound

This paper cites Journal of Machine Learning Research , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Journal of Machine Learning Research , volume=

Reference 16

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:0614deb3e9ffd2571965c27a1451e683ea102651e1b148ab02de95d47deaf077

Observation ebe6ddaf-f630-44b3-b8c2-47375238ee0a · outbound

This paper cites Advances in neural information processing systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in neural information processing systems , volume=

Reference 17

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:8a8203c40d2a8bc75ec3a8948b82c81609c740b63d76b30a2af77280205c602d

Observation e4255eb9-e97a-4911-869e-529e82716cbc · outbound

This paper cites Proceedings of the International Joint Conference on Artificial Intelligence , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the International Joint Conference on Artificial Intelligence , pages=

Reference 18

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:13794f3eb9359697ded553d4f311872455d22472bbd9d427ad2a9564a237e7e7

Observation 86ea6452-22c8-4760-836a-0e64103d6ee0 · outbound

This paper cites International conference on machine learning , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International conference on machine learning , pages=

Reference 19

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:f9267970096af7ae509f952d1dfe60a6573f168ee1b93303e567b198db28bc33

Observation 3ddafcaa-ce41-46fb-95df-9a94de54c67b · outbound

This paper cites Advances in neural information processing systems , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in neural information processing systems , pages=

Reference 20

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:f672e82e1bed338441b119fcc336bb8527276362e0ef743aeaa6231f7d326606

Observation 0a4e9a14-fa49-4de4-9f4d-927a97dc336c · outbound

This paper cites the Journal of machine Learning research , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions the Journal of machine Learning research , volume=

Reference 21

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:853f5843ced7255404c1e9a96bb8de6d3d800bdfccc79d81f5e2380007840892

Observation 7d28e6f5-eae7-4e19-bda1-d7fe47505e79 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , volume=

Reference 22

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:e946405ea6ff7e6b74bbf5ae24994cf229e8652fb4a9ea3d33983334c2b02f94

Observation a00ae503-5271-4635-967c-8590c9a623ec · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 23

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:a68cb281b867e66da8e907d78bf06ec8f4d675a603f1f047666b1b93fd1fb724

Observation e0382955-7193-4187-8efb-9c26a80b6c45 · outbound

This paper cites International Conference on Learning Representations , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International Conference on Learning Representations , year=

Reference 24

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:997a464028915ad8197b01e5a1f44c1a5816c83842c0b9bd7042d8780066ccbc

Observation b1dab5c3-4819-4ea1-b2ed-e306e23e4fb9 · outbound

This paper cites International journal of molecular sciences , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International journal of molecular sciences , volume=

Reference 25

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:3b0a0cd8b865a239b896442a554b6d94eaa7e7da36b0fc66021b290f50624dd3

Observation 16ccb44f-76f8-4357-ab3c-0a3313e8414c · outbound

This paper cites International Conference on Computer Vision , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International Conference on Computer Vision , pages=

Reference 26

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:6b5c87ef330ec91d27fe4b8083a8226f07cfb38cc3376fd0c20dafa8888dc4e4

Observation 9056c4d0-8805-4337-ab64-f599a0d476e1 · outbound

This paper cites Proceedings of the ACM SIGKDD conference on knowledge discovery and data mining , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the ACM SIGKDD conference on knowledge discovery and data mining , pages=

Reference 27

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:65d5c0928185db4a7357626fa21e90e436387c1ec4a0a53411956381baab82c1

Observation 5e9db6b6-f93e-4a70-9000-8f765c1e40a8 · outbound

This paper cites SIAM Journal on Computing , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions SIAM Journal on Computing , volume=

Reference 28

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:acea21004cc260c568bc45d685764d351317d06d572b58c341baf939ef87ae2a

Observation 846a2ce7-8cad-4d69-bf5e-6f8a2c31dfbb · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the AAAI Conference on Artificial Intelligence , pages=

Reference 29

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:094546d8aa425a7d41e20fd476c09fe34ebb68f4fdecd3d7dcef80d694649e78

Observation 0f65b6ce-6c8a-4786-9ca5-e35a009709d5 · outbound

This paper cites Journal of the American statistical Association , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Journal of the American statistical Association , volume=

Reference 30

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:91310cd96709d9817c803e926374241d093fe175fa058020103d2d45e09bb98b

Observation a8cb1bb7-566b-4cca-a2cd-72813900ce81 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , volume=

Reference 31

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:efe9de8d00e089896a7037e8260311bb4a2c274ed71a5d829231f7cce8dc788b

Observation cba4fb4a-0c49-4dee-92a9-3fba13a1d50a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , volume=

Reference 32

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:acfe9be3d6fd1aec76ce5710e3186a785e0af2bbe81e7eab820a0085f4565c50

Observation 70d4af1e-51dd-4967-9c05-81f1b0235de2 · outbound

This paper cites GitHub repository , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions GitHub repository , year=

Reference 33

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:b951ef623153a2be9df89cefaa2aebea4e756b77c5d79b0762dab0b7855fea1d

Observation a73d2a3e-072f-4575-8b8e-a6b38e0ae0d6 · outbound

This paper cites Proceedings of the IEEE international conference on computer vision , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the IEEE international conference on computer vision , pages=

Reference 34

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:d909bb04be1c80c66a3ac91f91b743a61623c166741960b0cffe6e7947501446

Observation 585684e2-3450-452d-ae7d-652e4b2df77d · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 35

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:3312a67a03552b788a73239a904e508ada2363f1758000a11df77110ee9ee311

Observation 88720899-dd14-4025-b463-d403a8c12cad · outbound

This paper cites Handbook of Systemic Autoimmune Diseases , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Handbook of Systemic Autoimmune Diseases , volume=

Reference 36

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:a4f79293f99c32496f2ae9dec1c7e731ce0a238ba48012eccc3135e69d82169c

Observation 27bb4f70-5d5f-4ef2-b7b2-58aa51cccc35 · outbound

This paper cites AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery

Reference 37

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:c2f9f396bd8b905ece803796f87287ca7a87e0c592cfeebaec0233d6858bd886

Observation 7dd01eba-8a3d-4241-9617-85ed1f852a12 · outbound

This paper cites Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data mining , pages=

Reference 38

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:b68742ac5a0530ff78d3bae49dac2cd1140a513058c5a3d35e6d948ba139ba2b

Observation 3c6f9f40-0a3e-4c8d-9c3f-297c86741bf9 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the AAAI Conference on Artificial Intelligence , pages=

Reference 39

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Observation 1de0b9f7-97bb-41c7-8861-bcd8a505afaf · outbound

This paper cites Bioinformatics , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Bioinformatics , volume=

Reference 40

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:024cf69af291eaca81f15eaa2275ee2665c8db7328f298d322c59a55dc702ad0

Observation 8b0272e8-c1a2-4481-8709-efdfde5745d7 · outbound

This paper cites Nucleic acids research , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Nucleic acids research , volume=

Reference 41

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:422b15b1668b5c1e655193c6024cf3dff3309754bd3f847e6b78846eab350e5f

Observation 4f097d91-a496-4a7f-9f95-029d294ed789 · outbound

This paper cites Predicting structured data , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Predicting structured data , volume=

Reference 42

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:69d60c0d324167ae8be3d0f6794dd72cbdccee53d1ae9efe4514530d4e01ff75

Observation 804d262d-3469-4beb-b157-f8ea8b1e0a06 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the AAAI Conference on Artificial Intelligence , pages=

Reference 43

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:9ec893c31df9b082bd5b884f7a11a93c59b56b2c077e5598628fac24571a8968

Observation 6f6ff03f-c36e-45fa-9cd4-ffbccb75c4e4 · outbound

This paper cites Advances in Neural Information Processing Systems , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , pages=

Reference 44

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:484c0a9a20944dab24b57623c1a4e5a9cd927567ba4b32fbda46f79a915ea9bc

Observation 38418164-a74b-4c11-a42a-9b483a498582 · outbound

This paper cites Deep Submodular Functions.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Deep Submodular Functions

Reference 45

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:d4f5fe683e3cc5c4acbcbecdba45af788a36b16bd5df981e61f28a095c0a286d

Observation 3b7c6115-2285-4d84-86c1-76ff635cd83a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , volume=

Reference 46

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:712aec3da08ae4cdcc12eb0f064c5def88c0aafdc07a417bfb1fd68bf1f5bf1c

Observation 3fd0dfb4-db67-4b66-9d2c-061620ba80ba · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Advances in Neural Information Processing Systems , year=

Reference 47

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:038f456f9f6092265347834777080cdb287ac16e9d00fac65ccabc69d7b75a99

Observation b9b6c84c-e5fd-4a3c-8916-6abf6af50e6b · outbound

This paper cites International Conference on Machine Learning , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International Conference on Machine Learning , pages=

Reference 48

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:09de6834d1b697d791605b4feb30b59bb3962a65b342558927717c1666bbd586

Observation 4ea1f75b-2091-4bcf-b803-3871fd0544a3 · outbound

This paper cites International Conference on Machine Learning , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International Conference on Machine Learning , pages=

Reference 49

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:a79bbff68762c12f5cbb5a68b1fe50bc76ede32d387599521e701194f2ca77a6

Observation 30cda42b-10a6-47bd-88c4-b4222f1dc47b · outbound

This paper cites arXiv preprint arXiv:2510.02300 , year=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions arXiv preprint arXiv:2510.02300 , year=

Reference 50

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:b8cb6d0a438ec519deacca48a296d28d1723dc1e1c8163704a115cd567ac9aab

Observation 1109aef6-0642-4318-97a2-6908cdb31d38 · outbound

This paper cites International workshop on artificial intelligence and statistics , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions International workshop on artificial intelligence and statistics , pages=

Reference 51

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:2129d9e00e5f2de14a9731554dc85b2d6c6abf02b2bbef198f40ed3589059d7d

Observation e20049ac-899d-45d8-be3b-253fe3ea9f31 · outbound

This paper cites , author=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions , author=

Reference 52

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:30449ac259186c11bae2b03cbd4d6dcc3cc4ddfb56bb1f45677a002daf7d3b03

Observation 7d925ba6-04e8-4bff-a007-b07d9e86a2a6 · outbound

This paper cites Neural computation , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Neural computation , volume=

Reference 53

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:e26ccd07722b8e669649e0ea1b52b448f9b58241e22e17b21cb097741c10ec3a

Observation aa533fff-23ba-4048-bf47-9100f35d380c · outbound

This paper cites Uncertainty in artificial intelligence , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Uncertainty in artificial intelligence , pages=

Reference 54

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:7ad9619cf682a125763011e04f66afbdd630ab75adf7567db34eeb9211b7e920

Observation 2c89b2b1-febd-4789-9a55-08778068f64b · outbound

This paper cites Proceedings of the 25th international conference on Machine learning , pages=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Proceedings of the 25th international conference on Machine learning , pages=

Reference 55

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:743acac230c0f46121ea04ab714299f813caa8a35111c802ae7f58d32d352ab6

Observation cd3df654-5457-49e6-a598-42409aa92fd2 · outbound

This paper cites 2017 , eprint=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 2017 , eprint=

Reference 56

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:306676788afbb1428c7fe85a47106c1b3a4cae8fabbd9c25babf5d15664eef76

Observation 3d4cc11b-0bdd-415b-89a2-16961da6bb5f · outbound

This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 57

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:4210633f76833dfcd77f2db3dafbf91728a556dfa3417265a707ceb4a90eedf1

Observation 41164abe-4909-456c-b1da-942b2bef084c · outbound

This paper cites Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Reference 58

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:8c4823ff72ea12677fd70d4f14e87c0d07b4766921799f48d65cca2c51c2df01

Observation 2f519e66-ba44-404c-9a2d-3695eaf718f6 · outbound

This paper cites Bioinformatics , volume=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Bioinformatics , volume=

Reference 59

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:83ae07df46c4a9857d5e6a78ac41f10afc2bc8fb7d0ca88d035b92bcdab2e938

Observation f63c7a93-3b0a-434a-91c7-bbdbc0589321 · outbound

This paper cites Differentiable Learning of Submodular Models , year =.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions Differentiable Learning of Submodular Models , year =

Reference 60

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:13ae6981a0b2209a3258559da884b4b94e1e24bea923f8ef504ad0cb615719a1

Observation 4d44a8ee-2726-403d-adc0-459a2d64eaf4 · outbound

This paper cites 2024 , eprint=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 2024 , eprint=

Reference 61

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:480929aa49f9286c88cfb8a096be693ec0a462065ad66e94d82c6f2bd41b553a

Observation 03ce3c75-628b-4d4b-9918-89bfb570bfe1 · outbound

This paper cites 2020 , eprint=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 2020 , eprint=

Reference 62

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:3b12c15f4866091dd2b691d0eb5f67c2905a878ec374d5b02c8627ad54635f79

Observation dca77bb1-d8da-49b6-a35c-1d84e58cb8b0 · outbound

This paper cites 2020 , eprint=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 2020 , eprint=

Reference 63

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:21f4096516abeabb7b061b301a549e6ca6594f32174756d1d38f5d322529d5d8

Observation c48d06a0-9987-43fb-9c19-4e8e92be239f · outbound

This paper cites 2020 , eprint=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 2020 , eprint=

Reference 64

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:464680ffe567e1fb57afe8881600fedef9ade34f75568245858dc65e174537b6

Observation 3f47fbdd-292f-4299-a699-781ea0bde83a · outbound

This paper cites 2024 , eprint=.

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions 2024 , eprint=

Reference 65

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source=arxiv_source observed=2026-07-14T04:48:14.980753Z digest=sha256:a93a8e4c2065410761323f414c068b9e5df9204a8b844267d474ec6e676860d7

Pith citing papers

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