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Paper Citation Record · LEDGER

Advancing Optimal Subset Oracle via Learning Relaxation of Neural Set Functions

As of 14 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 2026-08-14T06:32:32.682623+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=sha256:8167ed96f02a73e1e2002480e3db83c994e44ac893a4bbf1498014e18a29bf0f

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:b01a8c2d7107c3c878988b22bdafeaf5e1fa3971170c8ecfa41f7dcb42bc17ee

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=sha256:67fe11f942c46e1f38203cb26f4ea31fd73d6dab26ff20a796473f75352eea67

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=sha256:736e29add1ba1d3cc7bd26c5c00e4819f9a9df100c728852879640ad05163f3b

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=sha256:1a5245a7b32e70c39e49d80310e58e3e0736f9630fb0fff38e5fc8a5a6642f7d

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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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=sha256:078a8913d261c651df6c31f620a74ce3582635ccf06302d7f59b3349c75bb7bc

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=sha256:27b5cf020edb078f9d6b3b8be6ea4942d32b395b8acdf92d7f09893ecbfe6ce5

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=sha256:0043caf125ad655ccbffe787e4f37e1165e444d810ac631dd74ca5f17ae4fda0

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=sha256:9cb40c1427cff6af81ce09bb4bc8c6b4ad4ad2fab72c375620ee900006b788f8

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=sha256:23ca02c7ffc6d39a14f0ab5dcacd2aacebab0436d9efec4ddbd4884913897366

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:cb2fddc0af496b0fc115455c898652317e9206366866035fe9e98fc6ee362c5f

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=sha256:30607ba44f980d5ca3331dd6c59ef4196eccfe474276c4a7c99b3c6c9e29d60d

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:b05016eb852002f1e1e5f87ec19bd649ab52da886bc44402f60675978bc829fc

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=sha256:47896d11fcc6601cbaadd6055647671c162d225fcba2e48e64b7d7fbd46ce82d

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=sha256:67c489fd4a4423df1af882d94ef6d1f8f34cb94e564706d54021626f22ca00ee

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=sha256:668e45aa4afbce0af44792f73b481b6e5cc21763497da186a458d3fb0c14cfc9

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:fa1bd17ac128908046fd7e65e0800fa763083629d073675f0260da11e98b4eb5

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=sha256:4db8459cea84bdcff9b367a7a6b3f99d9c2b00317aa628433a99811d996cc0be

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:fede384c02fdeb3996723d5175aa62410a2300207c490d9076d5f085c1b742ad

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=sha256:7767a9507c1928efd66d664979eee148086280774be09ff02b9fda38455400db

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=sha256:78dad5355e5b4f520f8001af2c9fd3cbb86f61322e14f7cc43986d8cf36dac5e

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:b04ea7b7139a6adbcebe4921b9d624d34b7b714413facbeda9008c5ce137b41b

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:c652d040dbcdde88b5ec0aac05dba5669a8291fbb93b706a3d0b9ddbf0fedccc

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:f764670e21af01c26db7251e61fec127514c0226b83065057d44802de68b03b3

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=sha256:8bf12347abfd05681c9bf6a07c725a09bed974cfaa8a7a90a81d32eaa791c239

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:de185e37c97d8007296bd687a1f60ef62c5daf0e32d103574f09a881f5131f2f

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=sha256:089685b23fa719de1f49d26e0510268435afe4f1eab1bc2dd2b49c86c89d2305

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=sha256:877043fabf58bf74a22e8fbbb9e839d70038fd3122292d62077dbe3dd2b6e718

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=sha256:2e359f3dee3f1d9948407a55f374667ac3dde16e20a1ca03235bc6a7a14f80ea

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:d9333a13463e79c58224cb86dca2a8ef306f9676a448bc2cb2c1f42a724db39f

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=sha256:328d9b84f7d17214e2469516ccccc26f4fae40e32d1389a7767064cd70682122

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:b3a6dcca4184afa608ee7342dbcc15e3a7f74603c6b41afe2b774a294e25638a

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:f1ea10774d689c8925ef693cbfbf0f0d654823fc98741b1472fdf1dde996bb58

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=sha256:68f8fbe383640e9936485354a9428cb3b3fe71fa4f3b0781e96ca25b27c59d8c

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=sha256:8000e57bceb3718d3756cba50cb8f52f99af9fdf7e147d39e73f635ff2371819

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=sha256:405056e61b7b6c0b7c4c6a6f71ea60a485f4febb62c622d6e930c8460d4135c2

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=sha256:604adfce1803f0ad463ce2c1d9450c3758ba01471f79e091a299c4fb5316e739

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=sha256:8922c2c89bf1784b17c6c4c3bead95939ac8d008a3b6414e4d91b718ff0f105d

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=sha256:6eec48324a60eb01cedbcc36b679b99cffdeb83309aac893326f44c0d1633018

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:fc19cea5b1cbf29c22413e214e66a6da60d4a2b74e395fa2c22b592ed4ddb561

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=sha256:54a121dea9bd3294d33dc1b47b8e366b8becd46f3fc382270d1ce4062374f3fb

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:e4f6330f2113dd6d01b500afaccd573fe82a8420ff7a59188e4cb5e9ac025f62

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=sha256:8c56de1ecf64e45dd25f2b0444abfe53706a86d0585cce233bb948fe887ab33a

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=sha256:64610c3558ef460fbce0bdb638d853a5e479185d22a6890e8c7618c2594b84bf

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=sha256:38ae7f21835a38fdb3fb4a8626cecc1b83324d540d350e757497bd28002fdae4

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:f6b2b7fcd8fe8c25c95e4f9dbb59b59b58421f856ea7873567285daa004546c0

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=sha256:3109a95eb27a5979eea3972906335c4aea71b4bdc25e7fa29ae6a9f6158d3ee0

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=sha256:47694209aaa57c9595a8944b52e0696fe046de935b32352a0c6493ab4d344780

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=sha256:9dfe5c6ae448bf7d72d83753417884f6933805ef3f3dbbe3444f2b205a0f6598

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=sha256:6c1b1bbb6fd150700e8e0f690b5ed7f820508443a92c152956b47caa7ef3128c

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=sha256:69b7b126d40e95d508538dc7937122d5fe0b3413a6b4ff28bb2657c4feddba84

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:fa49ef0ef84700e0b3b6e223e82253309b232465ea9108f5accb6fc4c4e61d7a

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=sha256:3c97bff7ad8f1a510c8de23387365d96d8cf037ae55cc2ddc8847c8d8fe19a5d

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=sha256:960baeb2bcd0e25cd47df14cdb98b37a02b01bab0ba000119e4ee72674654a8b

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=sha256:5114c9fea188b2043588d901edb4ac2a268e46f154256a3b7d1cd1e24845f74a

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=sha256:9faf4b54f8a0c5a9c2c05310a440870291418bc451e690bbffe9196f177fe35d

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:a4e84073b1802fd495e3ea10d2f971dca3118bee4265383b667dfb38529393ad

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:a73066cf73daf30342427e4587c7eafa7c4c3d2b5db8074497b779c4b7cefeb9

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=sha256:0c44131e127482c3765fe00dbe025389d8fc122cc3353ccaa8c3203e9f117aca

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=sha256:7075d2c05eb0215efba25549169e84212480c68057c02d998ecc3b1e403ce556

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=sha256:9ae2e55c14a8215c3693a390e78aaa79f565c62df5e18a954e9b64d94c90dda5

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=sha256:4fc1e5f379779c26c3d2841a4380aabd26f1147234d5ea6deea63ba55f10a706

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=sha256:1fc0f66ee70a1033d369521b7da1896b59c9673633247318b1451c41db772488

Pith citing papers

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