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Paper Citation Record · LEDGER

Weak-to-Strong Learning in Decision Making

As of 9 August 2026, this Paper Citation Record lists 100 of 144 outbound references and 0 inbound Pith citation observations for arXiv:2607.18467.

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

pith.paper-citation-record.v1
2607.18467 v1

Coverage vector

measured 100 of 144 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:26:11.571396Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 144 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved98
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 929cd7f2-fe45-49cd-a6dd-22fb6b995f45 · outbound

This paper cites Measuring the Intrinsic Dimension of Objective Landscapes.

Weak-to-Strong Learning in Decision Making Measuring the Intrinsic Dimension of Objective Landscapes

Reference 1

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source=arxiv_source observed=2026-08-01T15:26:00.300176Z digest=sha256:340f83e10a6a7a0bf77bc21daaf692561b93c67320daca076cb012eb1a52d314

Observation c3921a0b-4033-490e-9e0d-8f08c0935971 · outbound

This paper cites an unresolved cited work.

Weak-to-Strong Learning in Decision Making Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-01T15:26:00.395609Z digest=sha256:25da3cc4ed59d5aa06169f1bbc487eb45ac91ebee566d004bb173d387428f45c

Observation 489fb941-9049-4484-a6ec-1a24e11e36ba · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Weak-to-Strong Learning in Decision Making Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 3

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source=arxiv_source observed=2026-08-01T15:26:00.565219Z digest=sha256:04e324a689aaa8c2e39b53b0e84144eb3fd85748e2e7ae0641e41ad8ecf98801

Observation 7e11ce47-d0b6-46f4-85ea-2d1cf54f470a · outbound

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

Weak-to-Strong Learning in Decision Making International Conference on Learning Representations , year=

Reference 4

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source=arxiv_source observed=2026-08-01T15:26:00.735208Z digest=sha256:8030ae0b1aaa57a4c199c2d842150231c4188be861e11a55a5599b192afb90de

Observation 97e06ef6-6f27-4078-81bb-36330d421b73 · outbound

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

Weak-to-Strong Learning in Decision Making Journal of Machine Learning Research , volume=

Reference 5

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source=arxiv_source observed=2026-08-01T15:26:00.849432Z digest=sha256:1404dd721d5d5b281dc4f4fbe66de14bd3c1c5f71f497709d9fe7d1fb4edc8f5

Observation 5b65f068-e472-4267-b068-16bea33c0381 · outbound

This paper cites SIAM Journal on Mathematics of Data Science , volume=.

Weak-to-Strong Learning in Decision Making SIAM Journal on Mathematics of Data Science , volume=

Reference 6

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Observation 661e1b31-6f8b-4d78-a143-2499990d85f5 · outbound

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

Weak-to-Strong Learning in Decision Making International conference on machine learning , pages=

Reference 7

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Observation 548d08c1-2668-4c85-80a5-34e5d7321a37 · outbound

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

Weak-to-Strong Learning in Decision Making Advances in Neural Information Processing Systems , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T15:26:01.201562Z digest=sha256:d2fb979e74e5e7d927adce0d7118420d92fb6ed626ddf672da6418b4954da43e

Observation e78a648e-a58f-4d79-8857-1561d972a48a · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 9

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source=arxiv_source observed=2026-08-01T15:26:01.354940Z digest=sha256:69d71b9ae22f6fd710e2cd8be2bdde8eebb6e88ccd626f5bf4201438a26c98ee

Observation d5e3b02e-6a5a-46de-857c-6495b79c0fa6 · outbound

This paper cites Conference on Learning Theory , pages=.

Weak-to-Strong Learning in Decision Making Conference on Learning Theory , pages=

Reference 10

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source=arxiv_source observed=2026-08-01T15:26:01.521005Z digest=sha256:19e4956a6f99f7a5f78e8837de6ec4d5a4e313d715e37b4941ae5aae4dd80485

Observation d0b8ae4f-0476-4319-b7b4-6a7aeb7b910a · outbound

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

Weak-to-Strong Learning in Decision Making Advances in Neural Information Processing Systems , volume=

Reference 13

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Observation 3ba5d582-d45e-4775-a6f1-c9fd2fcb9f23 · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 14

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Observation b35cd71c-32ce-46ca-8003-037c022ef1de · outbound

This paper cites Proceedings of the 41st International Conference on Machine Learning , pages=.

Weak-to-Strong Learning in Decision Making Proceedings of the 41st International Conference on Machine Learning , pages=

Reference 15

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Observation 2617e90e-c173-4111-83af-d77b48b054e1 · outbound

This paper cites Proceedings of the 42nd International Conference on Machine Learning , series=.

Weak-to-Strong Learning in Decision Making Proceedings of the 42nd International Conference on Machine Learning , series=

Reference 16

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Observation ddd5f101-7b49-429e-987e-a1dc95cee5e5 · outbound

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

Weak-to-Strong Learning in Decision Making The Fourteenth International Conference on Learning Representations , year=

Reference 17

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Observation e0b69978-89ea-4f7c-87ca-00e57a628676 · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 18

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source=arxiv_source observed=2026-08-01T15:26:02.252491Z digest=sha256:5c211dc0e0aa8e8abafd5f867d9a2ac4d14f5476b5d3e864d790da8b51f1f82c

Observation ae61ec39-63af-46f5-b86a-25093393b4b9 · outbound

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

Weak-to-Strong Learning in Decision Making International Conference on Machine Learning , pages=

Reference 19

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source=arxiv_source observed=2026-08-01T15:26:02.326276Z digest=sha256:4b7c9030c29cba7413e99117cd25fed805ca96fac4cfe3aa21dd8eb54c39a3a2

Observation 3e4aefa6-a56c-4adc-864b-52e89784ead6 · outbound

This paper cites Patterns , volume=.

Weak-to-Strong Learning in Decision Making Patterns , volume=

Reference 20

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source=arxiv_source observed=2026-08-01T15:26:02.400044Z digest=sha256:d1c1a3f3b5bdeb113e63c6433ddd927b34a6a3bb9caa45d2d83847a2b91f9034

Observation e1ef1374-933d-4da3-814e-85caa4393df4 · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 21

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source=arxiv_source observed=2026-08-01T15:26:02.510430Z digest=sha256:251ace7d9a2da1a1913dcf7c92702aded5bc8b8972208cf8d9dd613c39bfaf0f

Observation 3d2f7419-0072-4393-a4bc-00ea2973fa2f · outbound

This paper cites Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models.

Weak-to-Strong Learning in Decision Making Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Reference 22

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source=arxiv_source observed=2026-08-01T15:26:02.585892Z digest=sha256:04095290a51b70e2062aefae6409e5d45b40f80a89d5adef9a411dde4ba08f91

Observation 45916c0c-f188-4344-b9b8-424f87242fa8 · outbound

This paper cites Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts.

Weak-to-Strong Learning in Decision Making Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts

Reference 23

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Observation fd8ad900-b71f-4e49-b3e7-fa94cd6f98e8 · outbound

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

Weak-to-Strong Learning in Decision Making Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 25

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Observation 6ed2408c-125a-4a36-826e-79d62f53ae44 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology , volume=.

Weak-to-Strong Learning in Decision Making ACM Transactions on Intelligent Systems and Technology , volume=

Reference 26

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Observation 97c81189-71da-4c01-9658-32044dde94b0 · outbound

This paper cites Computer-Aided Civil and Infrastructure Engineering , volume=.

Weak-to-Strong Learning in Decision Making Computer-Aided Civil and Infrastructure Engineering , volume=

Reference 27

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Observation fa1cb1ea-51d2-4225-9a4d-9f15aa6ce76f · outbound

This paper cites Proceedings of the Eleventh Annual Conference on Computational Learning Theory , pages=.

Weak-to-Strong Learning in Decision Making Proceedings of the Eleventh Annual Conference on Computational Learning Theory , pages=

Reference 28

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Observation fce36d04-41b9-4232-930b-c01528e01ad2 · outbound

This paper cites Proceedings of the 20th International Conference on Machine Learning , pages=.

Weak-to-Strong Learning in Decision Making Proceedings of the 20th International Conference on Machine Learning , pages=

Reference 29

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Observation cf4d40b2-15d9-4772-acc7-b2596337acdc · outbound

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

Weak-to-Strong Learning in Decision Making Advances in Neural Information Processing Systems , volume=

Reference 30

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Observation a2962cda-29c9-4640-b943-747cd82fcd4c · outbound

This paper cites ICML Workshop on Challenges in Representation Learning , year=.

Weak-to-Strong Learning in Decision Making ICML Workshop on Challenges in Representation Learning , year=

Reference 31

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Observation 5fd38cd9-c264-4383-bfb2-a94c39c4753b · outbound

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

Weak-to-Strong Learning in Decision Making Advances in Neural Information Processing Systems , volume=

Reference 32

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Observation d8f2f844-598d-44c2-8746-a764f3877faf · outbound

This paper cites , author=.

Weak-to-Strong Learning in Decision Making , author=

Reference 33

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Observation b6305e31-8a01-4289-93db-07cbbb1d6207 · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 34

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Observation 339c52da-fa8c-4727-b037-a46b4e659d98 · outbound

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

Weak-to-Strong Learning in Decision Making International Conference on Learning Representations , year=

Reference 35

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source=arxiv_source observed=2026-08-01T15:26:04.125816Z digest=sha256:0bc0ef7edfc4c01b9277eb17861ccc76055620cb74584c3cbe07aca46178713a

Observation 3c477e9d-bc6b-44d6-94a1-8a089a21ef3c · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

Weak-to-Strong Learning in Decision Making IEEE transactions on knowledge and data engineering , volume=

Reference 36

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Observation bb236af6-4584-411c-9cf5-b46240a9f4dd · outbound

This paper cites Operations Research , volume=.

Weak-to-Strong Learning in Decision Making Operations Research , volume=

Reference 38

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Observation 5d376dd4-b506-4545-b72b-963eec3f9869 · outbound

This paper cites International conference on neural information processing , pages=.

Weak-to-Strong Learning in Decision Making International conference on neural information processing , pages=

Reference 39

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Observation 3d49e498-9a0c-45c9-bda7-acce306671d8 · outbound

This paper cites European Journal of Operational Research , volume=.

Weak-to-Strong Learning in Decision Making European Journal of Operational Research , volume=

Reference 40

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Observation eaa1c8cb-b528-400c-a6d7-2531249f630d · outbound

This paper cites predict, then optimize.

Weak-to-Strong Learning in Decision Making predict, then optimize

Reference 41

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Observation 6fea732c-528a-4053-a086-c102e2daede8 · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 42

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Observation 72a04cbd-a66b-4a23-acb5-31842a8355d3 · outbound

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

Weak-to-Strong Learning in Decision Making International conference on machine learning , pages=

Reference 43

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Observation 22c72c15-4fde-4019-891a-09e133cceaa6 · outbound

This paper cites Tutorials in operations research: emerging and impactful topics in operations , pages=.

Weak-to-Strong Learning in Decision Making Tutorials in operations research: emerging and impactful topics in operations , pages=

Reference 45

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source=arxiv_source observed=2026-08-01T15:26:05.041023Z digest=sha256:7adfe34dd8b9cb91342f747acc6b64d32478c200164527508820631da017417d

Observation 67932002-c3b4-4d62-bdd2-91af5c3b1c45 · outbound

This paper cites Operations Research , volume=.

Weak-to-Strong Learning in Decision Making Operations Research , volume=

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source=arxiv_source observed=2026-08-01T15:26:05.130709Z digest=sha256:9512bc24f081ddd86bb7dd1b902d48e472885ed34d209f57834ea689ea4cbb60

Observation 5af89943-2e48-4d75-b991-f79f5dc1a1d5 · outbound

This paper cites Management Science , volume=.

Weak-to-Strong Learning in Decision Making Management Science , volume=

Reference 47

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source=arxiv_source observed=2026-08-01T15:26:05.196211Z digest=sha256:f14b5695fc7bab794b8d5bf3635c0d7fcc8dbc589bd07610f94c9ef3db5d3e8b

Observation 0105560e-cd6f-4c4a-873c-0bed1a1f1acc · outbound

This paper cites Available at SSRN 3623006 , year=.

Weak-to-Strong Learning in Decision Making Available at SSRN 3623006 , year=

Reference 48

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source=arxiv_source observed=2026-08-01T15:26:05.341383Z digest=sha256:a444b42bedc7ddc8a01d0bd95495d0c358873a6440cd494e32d0e0dcf15b6f9c

Observation d328d54f-a50b-4a49-8cb5-aeed8755dacd · outbound

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

Weak-to-Strong Learning in Decision Making Advances in neural information processing systems , volume=

Reference 49

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source=arxiv_source observed=2026-08-01T15:26:05.518132Z digest=sha256:84d948107b48559e8ade5f874c4f372c2affc1864f4b107bbdb2947a049908f3

Observation 7ebb6fa2-9ad4-49f9-808d-d032777ee47d · outbound

This paper cites Operations Research , volume=.

Weak-to-Strong Learning in Decision Making Operations Research , volume=

Reference 50

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source=arxiv_source observed=2026-08-01T15:26:05.678386Z digest=sha256:67c33faf68f9cb5e870609a409c39c4412f42dfc8b245eeeb33a2ffe7c46fd54

Observation 2090371c-e956-47b1-a33d-b19dae24a06c · outbound

This paper cites Computational Management Science , volume=.

Weak-to-Strong Learning in Decision Making Computational Management Science , volume=

Reference 51

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source=arxiv_source observed=2026-08-01T15:26:05.780424Z digest=sha256:b3881bb83f80e1ad8e728392467d8f7a3939d6c3c1e521b070e8880e7b731ae2

Observation 84556e6a-c71b-4dea-88da-d3d58f893a55 · outbound

This paper cites Manufacturing & Service Operations Management , volume=.

Weak-to-Strong Learning in Decision Making Manufacturing & Service Operations Management , volume=

Reference 52

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source=arxiv_source observed=2026-08-01T15:26:05.946781Z digest=sha256:dda001daf61a2ca888171584cb88ad01f40d2d1fba250391926ef1bae0982303

Observation 2ada0d2d-b3f6-45c9-841c-1793a3b2c225 · outbound

This paper cites Available at SSRN 5606310 , year=.

Weak-to-Strong Learning in Decision Making Available at SSRN 5606310 , year=

Reference 53

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source=arxiv_source observed=2026-08-01T15:26:06.078167Z digest=sha256:114df7bb504f2524f41b37b1979170775a8dde1176014728d85002a2d4a11aa7

Observation 302d37ac-1748-4d79-9b42-8f8cd16dbde2 · outbound

This paper cites Manufacturing & Service Operations Management , volume=.

Weak-to-Strong Learning in Decision Making Manufacturing & Service Operations Management , volume=

Reference 54

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source=arxiv_source observed=2026-08-01T15:26:06.186459Z digest=sha256:d014ca9f54b80fc94b6073a8df8fbb42e2163184aca815148e2b4cf3ce0b3ebf

Observation 974df524-a33b-409f-8417-a8ee7d9501d7 · outbound

This paper cites Mathematics of Operations Research , volume=.

Weak-to-Strong Learning in Decision Making Mathematics of Operations Research , volume=

Reference 55

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source=arxiv_source observed=2026-08-01T15:26:06.303055Z digest=sha256:1035da69fefe9509695b80af0afc555581533cc1f85f55286981befad0aeb03e

Observation f34e5d8a-04ca-4329-9cc3-469810d9f81e · outbound

This paper cites Management Science , volume=.

Weak-to-Strong Learning in Decision Making Management Science , volume=

Reference 56

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source=arxiv_source observed=2026-08-01T15:26:06.464210Z digest=sha256:ddd66f764e09c7e421bd695f273c203e15f628d4c8ab7b5f2526efc7c44e8b0b

Observation 25cf6190-ff5a-4c02-8677-3ff82014fc7e · outbound

This paper cites Computational Management Science , volume=.

Weak-to-Strong Learning in Decision Making Computational Management Science , volume=

Reference 57

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source=arxiv_source observed=2026-08-01T15:26:06.583168Z digest=sha256:52f08547bfab105f804b5dffd3388b0f25c88d285f64ecef2aed7095e18e97b4

Observation 1b23aac4-7c6a-47c2-ad48-46c672b76252 · outbound

This paper cites Management Science , volume=.

Weak-to-Strong Learning in Decision Making Management Science , volume=

Reference 58

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source=arxiv_source observed=2026-08-01T15:26:06.704112Z digest=sha256:fee5a6cb91830ee0bb2d643282f84624b579e474e1709e41129b33766b5b71e4

Observation c200fa2a-989f-439d-b4b3-32449fa44e6a · outbound

This paper cites Innovative Technology at the Interface of Finance and Operations , pages=.

Weak-to-Strong Learning in Decision Making Innovative Technology at the Interface of Finance and Operations , pages=

Reference 59

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source=arxiv_source observed=2026-08-01T15:26:06.828369Z digest=sha256:8a694142c1372b4062f864be3b2d207d3d1c8240fa525e4e043ca83696204e80

Observation 4128d02f-fd15-4bbd-8d98-5a2474ecb4d8 · outbound

This paper cites Operations Research , volume=.

Weak-to-Strong Learning in Decision Making Operations Research , volume=

Reference 60

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source=arxiv_source observed=2026-08-01T15:26:07.005204Z digest=sha256:9a727363771a124390340173fdcf24c89b7938c069cb1da256dc248728e0c568

Observation 927a1038-d006-43b6-a168-2f0438868b09 · outbound

This paper cites Operations Research , volume=.

Weak-to-Strong Learning in Decision Making Operations Research , volume=

Reference 61

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source=arxiv_source observed=2026-08-01T15:26:07.105113Z digest=sha256:0a28cb163441cfb13fd3887a0b0ec6fe781835be4fafa750224381ecbc5840ce

Observation a8dbde30-3d3d-4530-8d46-43a5a4f925c9 · outbound

This paper cites Management Science , volume=.

Weak-to-Strong Learning in Decision Making Management Science , volume=

Reference 62

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source=arxiv_source observed=2026-08-01T15:26:07.171590Z digest=sha256:e26c63a4c6ab20b2458b644be0a9597889bdb653c2fe4600e0ed240a863650c0

Observation 1d97b45f-8a08-4584-9ed2-e2697e16ebe8 · outbound

This paper cites Management Science , year=.

Weak-to-Strong Learning in Decision Making Management Science , year=

Reference 63

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source=arxiv_source observed=2026-08-01T15:26:07.265823Z digest=sha256:cdee21a288a586e9dfcab5a2609dca66c68f334ff7aeb44c35608f4b0d762877

Observation 4d179789-1350-4298-87a3-ee4a8209aa81 · outbound

This paper cites Management Science , volume=.

Weak-to-Strong Learning in Decision Making Management Science , volume=

Reference 64

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source=arxiv_source observed=2026-08-01T15:26:07.359508Z digest=sha256:90f14f67c806ce36fb0b718f5723f625e30ecc82706c80c2df70e82e0c4d8a76

Observation 2c681d0a-3f67-4ba8-91e5-3d812e1a71a5 · outbound

This paper cites INFORMS Journal on Computing , year=.

Weak-to-Strong Learning in Decision Making INFORMS Journal on Computing , year=

Reference 65

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source=arxiv_source observed=2026-08-01T15:26:07.434772Z digest=sha256:f6f31e88cfcd9d72bdb715cf6edee573c666a5201b6fa7c46435d35a745f5f6a

Observation 2f8358fc-5629-4c80-9022-ccf4b7732772 · outbound

This paper cites European Journal of Operational Research , volume=.

Weak-to-Strong Learning in Decision Making European Journal of Operational Research , volume=

Reference 66

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source=arxiv_source observed=2026-08-01T15:26:07.520599Z digest=sha256:da286ca0b2f7cb9f7cf599fa77bd02a56d4b8deee83ee9b432cf184e45d9fd4a

Observation f31274c5-a0fc-43f5-a544-d5699d72138b · outbound

This paper cites International Conference on Algorithmic Learning Theory , pages=.

Weak-to-Strong Learning in Decision Making International Conference on Algorithmic Learning Theory , pages=

Reference 67

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source=arxiv_source observed=2026-08-01T15:26:07.607716Z digest=sha256:0d30e2fc0ed168f8f0d9ba263b6c987a7ee51ee56850e2ffcd9860c02f8785b9

Observation 9218f9d9-f6c1-43c7-9276-fbff7128d855 · outbound

This paper cites 2018 , publisher=.

Weak-to-Strong Learning in Decision Making 2018 , publisher=

Reference 69

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source=arxiv_source observed=2026-08-01T15:26:07.755951Z digest=sha256:4243230d60f5119a46cf2d4adf187439fe28340ba064c3e45f589336e58dc29e

Observation 98ffd591-9ecc-43cd-81a7-1989c6287e94 · outbound

This paper cites 2019 , publisher=.

Weak-to-Strong Learning in Decision Making 2019 , publisher=

Reference 71

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source=arxiv_source observed=2026-08-01T15:26:07.939809Z digest=sha256:5f25dedaf119a66ab3e603c753ecc135a2418f93e5a4aff1a877bb7974bc7ca4

Observation ccaf07e5-ee1a-46c7-861b-f5dff4b6a6ee · outbound

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

Weak-to-Strong Learning in Decision Making Advances in Neural Information Processing Systems , volume=

Reference 72

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source=arxiv_source observed=2026-08-01T15:26:08.112812Z digest=sha256:2b949e728b6d828035df67dedac128cb71a6f0b28fa07ab12bf3b869c37333b5

Observation ca062be9-aeac-4909-b571-479e4227b418 · outbound

This paper cites Management Science , volume=.

Weak-to-Strong Learning in Decision Making Management Science , volume=

Reference 73

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source=arxiv_source observed=2026-08-01T15:26:08.264070Z digest=sha256:7f3d1418d882b4e0a23f6531f6c52d58e02f77434a4b73298bc1e57ae17bdc1d

Observation facdfc01-e390-4846-ac4a-5467aff920e9 · outbound

This paper cites The Review of Financial Studies , volume=.

Weak-to-Strong Learning in Decision Making The Review of Financial Studies , volume=

Reference 75

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source=arxiv_source observed=2026-08-01T15:26:08.526317Z digest=sha256:4b033f45368fa907c2bab44a2f750a6f83da55a62617808336ed9b2888f0a5f5

Observation 5cf9f91e-65f8-4a78-a13e-e030b4caa397 · outbound

This paper cites Transportation Research Part C: Emerging Technologies , volume=.

Weak-to-Strong Learning in Decision Making Transportation Research Part C: Emerging Technologies , volume=

Reference 76

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source=arxiv_source observed=2026-08-01T15:26:08.646004Z digest=sha256:b2384aaa39408094a95ef1f181d18a8dccbcec6f27fa8476b869c4c741f8faea

Observation 328375eb-166d-482e-9ef8-66a517de5940 · outbound

This paper cites Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021) , pages=.

Weak-to-Strong Learning in Decision Making Seventeenth Symposium on Usable Privacy and Security (SOUPS 2021) , pages=

Reference 79

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source=arxiv_source observed=2026-08-01T15:26:09.163291Z digest=sha256:c010b229eebc489afbf9db69902b3559e7e2e1d2a20e1b26b8436af431ff6016

Observation 8656ab45-2239-4162-b6df-4be7a8978947 · outbound

This paper cites Companion Proceedings of The 2019 World Wide Web Conference , pages=.

Weak-to-Strong Learning in Decision Making Companion Proceedings of The 2019 World Wide Web Conference , pages=

Reference 81

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source=arxiv_source observed=2026-08-01T15:26:09.391732Z digest=sha256:e38e02f4fbd1e4e4bc5fc0451e90237e18c29749096d709091ed4a7076e608da

Observation 8aee96e7-07a6-46d8-a14b-f5b8ccf52d12 · outbound

This paper cites 2019 , publisher=.

Weak-to-Strong Learning in Decision Making 2019 , publisher=

Reference 82

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source=arxiv_source observed=2026-08-01T15:26:09.467674Z digest=sha256:f6fd14e7161b51c2c06d4364428fe12b2308a1c48c4041c0b5851e39906ac93c

Observation 65bd2ef1-1f1e-48c1-aacd-30c99046dd9c · outbound

This paper cites 2019 , eprint=.

Weak-to-Strong Learning in Decision Making 2019 , eprint=

Reference 83

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source=arxiv_source observed=2026-08-01T15:26:09.534452Z digest=sha256:f0b3b35cea2546d4d8de7176257031e808c58e456aed8987c548d92da719544f

Observation c77afcba-4a54-48f3-a605-b3f6b9fe3934 · outbound

This paper cites The sign estimator: Llm alignment in the face of choice heterogeneity.

Weak-to-Strong Learning in Decision Making The sign estimator: Llm alignment in the face of choice heterogeneity

Reference 84

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source=arxiv_source observed=2026-08-01T15:26:09.693072Z digest=sha256:b828d2e36458feae1b896992baa1518ac54cfabb8e73858cce19b8b5c10bf424

Observation dffd4fb5-74da-48d8-b1fd-4cbe5b31fe04 · outbound

This paper cites The big data newsvendor: Practical insights from machine learning.

Weak-to-Strong Learning in Decision Making The big data newsvendor: Practical insights from machine learning

Reference 85

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source=arxiv_source observed=2026-08-01T15:26:09.806650Z digest=sha256:d8d056cbae7fe892073098c12b43b75d9460a52fabacc2b16fb2b03ea9724a18

Observation 9bd4322e-4132-4415-9b24-207fc9448eb3 · outbound

This paper cites Zhang, and Heng Zhang.

Weak-to-Strong Learning in Decision Making Zhang, and Heng Zhang

Reference 86

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verified exact
doi, observed 2026-08-01T15:28:31.670706Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-01T15:26:09.926231Z digest=sha256:96de51c6772705754b25bc2b4617b96b0bbc56e5ed110622600efe86e5180157

Observation 0424f4ef-6936-4bec-8a6f-7d4630b9af03 · outbound

This paper cites Does unlabeled data provably help? worst-case analysis of the sample complexity of semi-supervised learning.

Weak-to-Strong Learning in Decision Making Does unlabeled data provably help? worst-case analysis of the sample complexity of semi-supervised learning

Reference 87

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source=arxiv_source observed=2026-08-01T15:26:10.052348Z digest=sha256:45699953d03838ca3f26dfac3c0eeb421131a8fef1e4b6a2808802d8d701e4fc

Observation 21096a8e-5859-4867-bdb2-a3c03ffa3f81 · outbound

This paper cites Data-driven optimization: A reproducing kernel hilbert space approach.

Weak-to-Strong Learning in Decision Making Data-driven optimization: A reproducing kernel hilbert space approach

Reference 88

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source=arxiv_source observed=2026-08-01T15:26:10.107477Z digest=sha256:c90a90a6dda903ca2922f0533db05dc37727710437f7a21376c24915909ded66

Observation 15f9f597-0881-46dd-8fca-7ee6a0d28801 · outbound

This paper cites Combining labeled and unlabeled data with co-training.

Weak-to-Strong Learning in Decision Making Combining labeled and unlabeled data with co-training

Reference 89

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source=arxiv_source observed=2026-08-01T15:26:10.180248Z digest=sha256:47dd4412c43608d8fee2079223b4ddf7d26032898ad28c69c7973a1d347adeb6

Observation f8ae8a2c-d01f-4242-b83d-45848d4f2aa2 · outbound

This paper cites Nuanced metrics for measuring unintended bias with real data for text classification.

Weak-to-Strong Learning in Decision Making Nuanced metrics for measuring unintended bias with real data for text classification

Reference 90

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source=arxiv_source observed=2026-08-01T15:26:10.261977Z digest=sha256:98f112e5b71f8f9ff0853dd084924713ff73d4bd100fe0dca2d0ec87d709a635

Observation 3889bb32-115e-415c-aa92-552aef68332e · outbound

This paper cites Weak-to-strong generalization: eliciting strong capabilities with weak supervision.

Weak-to-Strong Learning in Decision Making Weak-to-strong generalization: eliciting strong capabilities with weak supervision

Reference 91

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source=arxiv_source observed=2026-08-01T15:26:10.317788Z digest=sha256:71bf012fd73535d3f175b42a46e8c1990abd023967b038f2ba8d132370f387ff

Observation 075e7838-43a3-4f68-8ea6-f556caf80635 · outbound

This paper cites A theory of label propagation for subpopulation shift.

Weak-to-Strong Learning in Decision Making A theory of label propagation for subpopulation shift

Reference 92

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source=arxiv_source observed=2026-08-01T15:26:10.374645Z digest=sha256:ef2e6341fc9f80d9643d3dd6d97efa830c4a733c5f3543c231757dbcd25bacc0

Observation 513b3003-10dd-4b43-98e3-615bef8c5d6c · outbound

This paper cites Collaborative learning and decision making on pricing and recommendation: A simple framework for planning.

Weak-to-Strong Learning in Decision Making Collaborative learning and decision making on pricing and recommendation: A simple framework for planning

Reference 93

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:26:10.427212Z digest=sha256:61f1ac52cb37238ab8fccd38904b3dcf7ad93ba43bd408efe21a487a0a689834

Observation aecb2654-665d-44f0-9044-dcfb41fe5e2c · outbound

This paper cites Unlabeled data improves adversarial robustness.

Weak-to-Strong Learning in Decision Making Unlabeled data improves adversarial robustness

Reference 94

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source=arxiv_source observed=2026-08-01T15:26:10.502497Z digest=sha256:c251fe5226f86bb415a3c09165f822ac2c0480c9a9c1accda2398567149e754a

Observation 179a6a7b-3856-4fb9-888b-644d324eddd9 · outbound

This paper cites Feature-rich, data-private: A sparse learning framework for the high-dimensional newsvendor.

Weak-to-Strong Learning in Decision Making Feature-rich, data-private: A sparse learning framework for the high-dimensional newsvendor

Reference 95

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doi, observed 2026-08-01T15:28:31.386423Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-01T15:26:10.561415Z digest=sha256:ae1f684f1f89109c53b902639ea74a78f9390bb617609715dcf5001feac17f28

Observation 23de42dd-f667-4ff3-81ce-c1564d68b4a3 · outbound

This paper cites Quantifying the gain in weak-to-strong generalization.

Weak-to-Strong Learning in Decision Making Quantifying the gain in weak-to-strong generalization

Reference 96

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source=arxiv_source observed=2026-08-01T15:26:10.607404Z digest=sha256:5a7150a597bd6f4999f9705c712a90f3a3d11d2d8862f5cbdaa0c6c765ab3056

Observation 9c7a40a0-0824-4768-ab21-e8e77aed922f · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Weak-to-Strong Learning in Decision Making Unleashing the potential of prompt engineering for large language models

Reference 97

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source=arxiv_source observed=2026-08-01T15:26:10.688439Z digest=sha256:8545de6e690dbe3da73e750b8f0a9ec41dfd9ab805dfe39fbdfcf8b88755ac18

Observation bbdf18b5-cf69-4f68-b8b1-c1da0799c49c · outbound

This paper cites Nonparametric learning algorithms for joint pricing and inventory control with lost sales and censored demand.

Weak-to-Strong Learning in Decision Making Nonparametric learning algorithms for joint pricing and inventory control with lost sales and censored demand

Reference 98

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source=arxiv_source observed=2026-08-01T15:26:10.769883Z digest=sha256:52cb4adcc2d923732473f14274f5fba696d158f4a0f10a8e00751a0f03a207ee

Observation b0e7d590-43fa-49fb-b19a-99511b5c5048 · outbound

This paper cites Dynamic pricing and inventory control with fixed ordering cost and incomplete demand information.

Weak-to-Strong Learning in Decision Making Dynamic pricing and inventory control with fixed ordering cost and incomplete demand information

Reference 99

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source=arxiv_source observed=2026-08-01T15:26:10.853961Z digest=sha256:3b4d9a05b43b6a900655c97a5c8a6d25195aa32759fb72a99f4bcec662d24968

Observation ccf0e42c-844c-419a-8fad-2fd129cf7768 · outbound

This paper cites Utility fairness in contextual dynamic pricing with demand learning.

Weak-to-Strong Learning in Decision Making Utility fairness in contextual dynamic pricing with demand learning

Reference 100

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source=arxiv_source observed=2026-08-01T15:26:10.910551Z digest=sha256:39b33044e7f20a84eb839944c5e582ad6ffeb1ff1c1c45eff7dbccd7359c766d

Observation 400f1738-e54e-491b-a973-b2ccb5b580af · outbound

This paper cites Feature-based dynamic pricing.

Weak-to-Strong Learning in Decision Making Feature-based dynamic pricing

Reference 101

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source=arxiv_source observed=2026-08-01T15:26:10.969877Z digest=sha256:86aa1b4922f94bd23ab00a42b58a4cc54377f25c0e436c20c4d8a2425ab1e74a

Observation 168f2661-9fba-4954-a624-6faa0038900e · outbound

This paper cites Predictive stochastic programming.

Weak-to-Strong Learning in Decision Making Predictive stochastic programming

Reference 102

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source=arxiv_source observed=2026-08-01T15:26:11.027054Z digest=sha256:5c530624ddb546ba3566a15c3a61e1f9b256bec2ce6f9bf28a4ab72412343567

Observation 02157f66-553d-4586-8180-70e5d09de873 · outbound

This paper cites BERT : Pre-training of deep bidirectional transformers for language understanding.

Weak-to-Strong Learning in Decision Making BERT : Pre-training of deep bidirectional transformers for language understanding

Reference 103

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source=arxiv_source observed=2026-08-01T15:26:11.071767Z digest=sha256:cad467b1b94e91178fdd4f860344fc00e96ea122217c23a0c0aac3763541e4d6

Observation f6b88fcc-6c03-4f15-946e-6ecfacdb618f · outbound

This paper cites Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension.

Weak-to-Strong Learning in Decision Making Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension

Reference 104

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source=arxiv_source observed=2026-08-01T15:26:11.123730Z digest=sha256:616ae00f6ec56b1c6fa172f47839c1126fc0d34387d7d7a3ff0fa9105c1daa1b

Observation 8ff4d58e-8153-472b-8ae9-31aeac31f419 · outbound

This paper cites Task-based end-to-end model learning in stochastic optimization.

Weak-to-Strong Learning in Decision Making Task-based end-to-end model learning in stochastic optimization

Reference 105

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source=arxiv_source observed=2026-08-01T15:26:11.182479Z digest=sha256:95991e5e9576efa4c2a2bbc932f1a4e062fa01eeaf8bc493a8a1df78f3631843

Observation 5efd3232-716e-4574-af64-6336af2e1031 · outbound

This paper cites Generalization bounds in the predict-then-optimize framework.

Weak-to-Strong Learning in Decision Making Generalization bounds in the predict-then-optimize framework

Reference 106

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source=arxiv_source observed=2026-08-01T15:26:11.259997Z digest=sha256:c3c21fc768445321526a21cfdb3bd9a9a161e6ac348370a7ac8afe5a6df56dfe

Observation ffac1176-5e4a-4834-b090-9f28104d7a52 · outbound

This paper cites predict, then optimize.

Weak-to-Strong Learning in Decision Making predict, then optimize

Reference 107

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source=arxiv_source observed=2026-08-01T15:26:11.319909Z digest=sha256:dd0d3f6e009d1af4f9b466b3ebc1fc2bdf8f2683de5602262bd1c10e005e5d75

Observation cb676ffa-e482-4eb2-8285-4eb7221076b9 · outbound

This paper cites Decision trees for decision-making under the predict-then-optimize framework.

Weak-to-Strong Learning in Decision Making Decision trees for decision-making under the predict-then-optimize framework

Reference 108

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source=arxiv_source observed=2026-08-01T15:26:11.381127Z digest=sha256:9bceb5b6a5736f6da27d0dadf35e3c1bd923bc474961c09b4b1908e6fda8ddee

Observation 23ee7095-0324-4958-9ac8-19d0ac7c76e9 · outbound

This paper cites Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective.

Weak-to-Strong Learning in Decision Making Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective

Reference 109

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source=arxiv_source observed=2026-08-01T15:26:11.466825Z digest=sha256:71605cf92b755e054a093af4cce662c0a09b8b2405466e65cdd2bfeee571360b

Observation ea763d68-8af8-4ab8-a896-ad86483c9b11 · outbound

This paper cites Analytics for an online retailer: Demand forecasting and price optimization.

Weak-to-Strong Learning in Decision Making Analytics for an online retailer: Demand forecasting and price optimization

Reference 110

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:26:11.519096Z digest=sha256:702ecaba1f94342e4713732526cb2b03ae0c1909193bebe634ba763a57512162

Observation 5efa024b-040e-406c-b4e5-f7d0020ca218 · outbound

This paper cites Great Models Think Alike and this Undermines AI Oversight.

Weak-to-Strong Learning in Decision Making Great Models Think Alike and this Undermines AI Oversight

Reference 111

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source=arxiv_source observed=2026-08-01T15:26:11.571396Z digest=sha256:5ce4d46090358182343599605e2637c1b03c7aade037fbd77bc5241398173b45

Pith citing papers

No inbound Pith citation observations are available.