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Paper Citation Record · LEDGER

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:380cb41bca904078b414659e28ec9263d0eecd78bef40c2e0c4db2c461b78e25

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=sha256:003cd0cbf50cd109091cd82d8b0bea32a6f079fb760c59694d567fd0589cf82c

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=sha256:8249bce4a7664bda2c3f5821530da22837c222ef7c2bafbfb280a979e2848cf8

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=sha256:307351544b1b65b276f3d17f74cf344a41acba8260f69ae841337285f2e3cab1

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=sha256:58fc9749368e3dfc029f1b4f5dd0f17c1d54c23a020b29898dfc02c7b398959d

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=sha256:66956106b1ccd6ba4b2fb8c0aa7198f011aec70a99e3dc32f9c532ad40e12a58

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=sha256:8745a5376e0a454c6d4907d47616cd5295f54d1414ba2ad6346c8afa5ef0ea40

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:d789fee5324b33672af63ba5fde7de9d53e822831709771af1f6700852fa6691

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:ccf4ca3a368bf2648f010fd9880e9210e586709b227b417e3ffbf48315c33fd2

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:eb3d8329b61fc57ce96e3fda4ec1d23c82d6ef06ac77be3e70d165be7bcbbcab

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:e9b503259678d67b3cfa3d8d2e49391a3ccdb1033b5d9151383ee013cb47777a

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=sha256:9122a2055fbc581c034f5b293e61afc418883fac7340e225dc454c414705da77

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=sha256:8f339e31bc12c8cbe4c102d59f8cc41fd4f9873ba9f6f744399fb2979ad838d9

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=sha256:8f19595e08345e481dc83713969eba1bc7e5a1b5a182975de141cab1837b4481

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=sha256:1296073c8395d540a43d6baea2bd14c083aac99c8cdebf9073fd49577946da5b

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=sha256:95dd31cc3d54caeb5929837ca8228a96f2895c910dfc3b9eb5ae1bf24af17097

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:d1568f0b40e66362a677fc9374bfc00f2b0178296454e78588d4c27b0abab0d5

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:c95cbc4e560c56eb80cdbbb1f9f883cba67d6823a5abeab5152254bc3d5c897a

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:d36fbbf2607a2c81d6849835f6323cc76dfea6e0c90dc03dfd18aec1f861c81a

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:df73da3748067504df8f37ece040d63dbdc6a39d48d555ef73cce6c177be01ec

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:b0e4385483f7bf9673ee89f626a03670e219870db342559aed42e478f908e327

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

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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:f0b3859e172d4a06ac0626b2bfca4072b403a66cf6efff61a18093add7fd0d61

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:ed6abe0d60dae595c0603ffcec94ad12f01a498cd4566606d153eda2028e8402

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=sha256:0ffd2ae5f6daa4b2e4b45f9608757785560672d5f35c7dbb50df29b858532359

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:db00f3ba5846097b2cb10dc7d176879c21eeca94975a5aa0f16c318323090d75

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=sha256:031984b20a2fd6c7c0218cdb7a2b658e93eee8998518c5b0245c56904d5e9f22

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:ac109cd30745b74fcb5c6ff2d6fd0e7867f1674de26f7ae50f3a242316b998ac

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:b502965389ff78b725e47e0816927e8c42f2ef6f24dc222228533fdd0dd59d5f

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=sha256:3267c260f419af8dfe36e6303b617c47cf262e4b7cadbba53b276a6174f4d014

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=sha256:77fcdc55cd63fb161e370460e2dd51cbb799ff3778ae3dc17697858610e0e4e4

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=sha256:9964cbfadc834cf1c53853e1727186ef6e0c87ad50a8175e4185a8cfe29813f1

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=sha256:07cad18864c1611ab5f18174e9e78db17e2a94a5b9dd387ec5244c135c4cbc00

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:e5fb148fa57afbec20723a1163be2d795a4548ae204a0851827fdec62dfb8815

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:f5bc3bf88fb5a50854d1145b8f37333b04ec892d9326a6925b04a6e83be3425f

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=sha256:946d281e288f7fbf77dc9f9fc4962ee6037b8b3ab683e25be4000ae86619d553

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:a8602e3c4bc827172217eaaae0d4d6ea45d790ce3cc9b7f6ef9ee908388706f5

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:fba94ad8ad54f8f1c7e35b6979f88b3cd8252e381894aaf8a99bf44ccf1d3841

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=sha256:39ec04c4bbaace05082566f55669f7c9490df0db87c5cf1bc20c4a851c1fe241

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=sha256:4d2a16d1e81cc8ccedbf5dd838b7352009d47f285fe384a626859a470477ec5c

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=sha256:556bfb46833811f3a09d6e8283f3ae44aca10bc371d18914db761c38fa5465a7

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=sha256:465c37e28a206502bb9d46b14e7e160bc43f45fc2d76c54c44b56802bc856318

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=sha256:11ee8b5dd7fc33efd1412c04b9955c53be86c49cf5bcb639ed9bffd8d75535a7

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:ee5f0fa75cc582f97bdb2450854cd608403492811fb18a8bb68ef0dd330529ab

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=sha256:50146e6b983a29dbed422723ed0d975affff8e760618d55de5cd626520c82a1e

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=sha256:7045b389882214c6e1f111940f9fafa8f89deb6c044b6b946cf7d6b0b2fe2bfd

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=sha256:9217b017d89da927d544fba1ad7d2cccfb4a9ac9fe55b1e9ea9f4fc0bbfe8682

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:e88d6c51307823be2e3a62635cb09b3240df1138928b8ccb76923a97ae304067

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=sha256:1ea2f971a39ed10e2223073ef9d010d2d8558d697fb3d56ea3b1214731d3647b

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=sha256:0e268ab8a26d416f682a7026f0d387b0a33eaf0df8b1a1ef3fff1c718e828e5b

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:bb4bb57412c4601d6a1a8ce6a48e79ea9b575f2d6041877523cca075adfe39cc

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=sha256:4acdf1def87e2d6a101a068444ee4ed35d2ccfa1edaec8cb1c133607a75a6d8a

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:cb8c2b23d339b3b64e60905bc29f0bdf52a52c398981f966e70972eedf8953e9

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:df08df556ceb3848531960e354adcec0dbf1cc41ebd0f3e64edd6525ce1326f4

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=sha256:8a5f68e9454fb295598ff2817e7cb2dc96a173c69d958de5cbadff2954d451b4

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=sha256:4c91e9b6d9de60665931d1525a9477d67353d13e9b1437a6e33b649383b5f178

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=sha256:5acab2613b4c555496c2a3c36698e0f9e351d6e5f7078a322d43650c9124a4f8

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=sha256:3b7a96e520b910304357d27a260ac61a0886480e461fb28dcad6859eaf01f782

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:ad51fdcb64eb0842a2efecfcc5564983c8a0c1ab47c401f351a40dfc64c3c12c

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=sha256:2df20f7edc160f7705f9fcf6432059a2afc822090e2c29760a09ae86be2fda3e

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=sha256:28600d40d5a9cf876333f7f5bc3a16cc4bcf31b1a9f20d898b116e7642e1c6ed

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:a2eaa9751b6341513e44ff36dbe172e514b893003f9435c443b560316a44ac5d

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:cbd5417fd4cfa2d4a36407ab2f9ce4ab81cf7241ae5e0df89a89c2840d4f52f8

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=sha256:1b35191dae0ed0e636c3838972bcbcb2e37dcc62732f2415cc2aace9479562a4

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=sha256:8079f6ac97b7a45eed1846629823460508b5b77f324b151fbeb19e4368a16b73

Pith citing papers

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