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Paper Citation Record · LEDGER

Reducing Per-Sample Harm in Stochastic Optimization

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2607.16261.

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

pith.paper-citation-record.v1
2607.16261 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:44:40.833827Z

measured 56 of 56 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

56 of 56 outbound references displayed

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  • unresolved56
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e9722937-4ed3-43c8-9094-5d11c493c8a8 · outbound

This paper cites SIAM Journal on Imaging Sciences , volume=.

Reducing Per-Sample Harm in Stochastic Optimization SIAM Journal on Imaging Sciences , volume=

Reference 1

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source=arxiv_source observed=2026-08-02T09:44:39.733257Z digest=sha256:81681c4b849aa704c353c0f27ee401f2de2b67754883fa9deb52a49a4c62b885

Observation 81563918-6f2f-4e3c-8a45-84c59525a668 · outbound

This paper cites International conference on computational learning theory , pages=.

Reducing Per-Sample Harm in Stochastic Optimization International conference on computational learning theory , pages=

Reference 2

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source=arxiv_source observed=2026-08-02T09:44:39.854498Z digest=sha256:527006b601867d649f874998a0354c382933ef6cf5e710bcfaee8f4619caaf2b

Observation 8dc06ed2-4b2d-4538-8199-71709dd3dc20 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in neural information processing systems , volume=

Reference 3

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source=arxiv_source observed=2026-08-02T09:44:39.951942Z digest=sha256:d4fac4857a69b47b00b676ed3ce59506f96b304f6dc799850288414aaed8274b

Observation d0a0a485-020d-4a42-9ff0-1c8b135a4b99 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in neural information processing systems , volume=

Reference 4

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source=arxiv_source observed=2026-08-02T09:44:40.024671Z digest=sha256:f42f8dbf679fca91032f643678dd3dc446ffb17da07b8fd97fcd9d97e9b1ac18

Observation 807c5ff2-9f45-453c-a8bf-8031836b54b2 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the national academy of sciences , volume=

Reference 5

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source=arxiv_source observed=2026-08-02T09:44:40.119860Z digest=sha256:da005d8a69845ed50e1b265461370e1d111b5ee06a61eef424f209bb82276ec6

Observation c4fe0a9a-5c36-49b2-bb81-27075c04d1ad · outbound

This paper cites Workshop on Multi-Task and Lifelong Reinforcement Learning , year=.

Reducing Per-Sample Harm in Stochastic Optimization Workshop on Multi-Task and Lifelong Reinforcement Learning , year=

Reference 6

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source=arxiv_source observed=2026-08-02T09:44:40.210527Z digest=sha256:9a345a3e62e5f38bb904148b586e112a919a8da54640abe29332b75dbfa520af

Observation 5ab4595e-7b32-466e-acc8-59286d07b8fe · outbound

This paper cites Efficient Lifelong Learning with A-.

Reducing Per-Sample Harm in Stochastic Optimization Efficient Lifelong Learning with A-

Reference 7

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source=arxiv_source observed=2026-08-02T09:44:40.268672Z digest=sha256:35bdf8ace0d2dad6ad900e412f29f306da64370c079f06c2817013a0b972a5b3

Observation 9f7c6b4e-bdd3-4bb1-987e-68b7238036d4 · outbound

This paper cites Gradient Episodic Memory with a Soft Constraint for Continual Learning.

Reducing Per-Sample Harm in Stochastic Optimization Gradient Episodic Memory with a Soft Constraint for Continual Learning

Reference 8

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source=arxiv_source observed=2026-08-02T09:44:40.303661Z digest=sha256:a089db8bf5776f6a2173882f7b911d9c40ec7f43ec544c3a530861e7c9371edc

Observation 0f1588ec-1b7c-4e60-9100-856952cad0ef · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in neural information processing systems , volume=

Reference 9

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source=arxiv_source observed=2026-08-02T09:44:40.343592Z digest=sha256:e124b3f971bd2e05151c1c927d60457168ebb7b7fa57dc416b2ba6573ee4b839

Observation 4065edc4-a862-44db-bef1-de59e3971492 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International conference on artificial intelligence and statistics , pages=

Reference 10

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source=arxiv_source observed=2026-08-02T09:44:40.373356Z digest=sha256:3b1ef20c93df76d184881cb54035ca41ecbe6b3ef7c5d19ea1f92ae1522eea93

Observation f670d79d-5118-48f2-9905-f91abab7b89f · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 11

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source=arxiv_source observed=2026-08-02T09:44:40.408837Z digest=sha256:7bd2276d2da09ec89e14e82aa9d9b090ecfd92cb9f8a6f0609d612a63f9b3e83

Observation 7fadefc8-8257-4344-9c34-91f7b6f1d92f · outbound

This paper cites Nature Machine Intelligence , volume=.

Reducing Per-Sample Harm in Stochastic Optimization Nature Machine Intelligence , volume=

Reference 12

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source=arxiv_source observed=2026-08-02T09:44:40.478330Z digest=sha256:9e4d1174e8861dca4ebf984312706fec4f41d1cac651daef55d576e2e06a8160

Observation dd7c77e9-9f06-4dd6-8f79-5cab7487fa09 · outbound

This paper cites IEEE Transactions on Audio, Speech and Language Processing , year=.

Reducing Per-Sample Harm in Stochastic Optimization IEEE Transactions on Audio, Speech and Language Processing , year=

Reference 13

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source=arxiv_source observed=2026-08-02T09:44:40.511125Z digest=sha256:3fa55e13060cbc7c39ed1690d94f705cf08998982f1a6095631bda3064239121

Observation cbc1c3b4-773c-457e-8195-15f1787d6236 · outbound

This paper cites Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=

Reference 14

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source=arxiv_source observed=2026-08-02T09:44:40.539408Z digest=sha256:3167920a5e3320f8f777821a9fec01bf8c4c863dc7764f2eab02e3c356655182

Observation 8d77434b-f027-446e-acca-f95d3b290c91 · outbound

This paper cites Proceedings of the 39th International Conference on Machine Learning , pages =.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the 39th International Conference on Machine Learning , pages =

Reference 15

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source=arxiv_source observed=2026-08-02T09:44:40.598249Z digest=sha256:08e3ce6eb514f8058bfe2dd766a6b21ca8c24f1bc4f18afc5cd3d53dae6053b4

Observation abcdc8eb-29de-47d0-93c9-dca92c7fd087 · outbound

This paper cites Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the 31st ACM International Conference on Information & Knowledge Management , pages=

Reference 16

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source=arxiv_source observed=2026-08-02T09:44:40.635189Z digest=sha256:f4035c6b69d14d6edd06faba34912d030cacccff673425a3c1e10e6f47a0cb7b

Observation 4b4e5ecc-d328-4e6d-9b69-97be6b43e67b · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in Neural Information Processing Systems , volume=

Reference 17

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source=arxiv_source observed=2026-08-02T09:44:40.668092Z digest=sha256:714def3efedb8c83f74cdcc5448065f1ab753a2d49bcb2079aaf61255774249d

Observation ae1f423a-5d09-4f3e-8b15-128c7f91b982 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 18

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source=arxiv_source observed=2026-08-02T09:44:40.674566Z digest=sha256:0c4de3bf74e84e41fd9f8928270427d694bfd772bff015dd957a321cbdac2332

Observation df469f8e-9796-4628-abbf-3f04e1f91780 · outbound

This paper cites International conference on learning representations , year=.

Reducing Per-Sample Harm in Stochastic Optimization International conference on learning representations , year=

Reference 19

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source=arxiv_source observed=2026-08-02T09:44:40.678722Z digest=sha256:a04d3b9cd70725f8ecad7ab45b3e1a1586ff4ae7e1f4c5195f4e7dac42954414

Observation 5ed605f4-d2d1-46f1-81b5-45c61bea1d4b · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 20

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source=arxiv_source observed=2026-08-02T09:44:40.682934Z digest=sha256:e8c43e375517deb5e5954ad9108db7a356726dfce3373be480b305b4aca18e4a

Observation 8507c0a6-5629-49c8-abc0-8738062b4dc2 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in Neural Information Processing Systems , volume=

Reference 21

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no resolver link, observed 2026-08-02T09:44:40.687118Z

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source=arxiv_source observed=2026-08-02T09:44:40.687118Z digest=sha256:171fb7075ec72cb940b1a5885ef36cfd083a06116a8690a4519e0a5571ec3b4c

Observation d03e39b2-3cc3-4edc-b732-83cdf84cd29d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Reducing Per-Sample Harm in Stochastic Optimization Adam: A Method for Stochastic Optimization

Reference 22

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source=arxiv_source observed=2026-08-02T09:44:40.691163Z digest=sha256:de62131e38eb271bdae13f9d08524cf1eea0db0f7add21ea9db7c503c80c4ca9

Observation 4f1b7734-0e52-4651-b008-70b090fd3248 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 23

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source=arxiv_source observed=2026-08-02T09:44:40.695710Z digest=sha256:e29288bfb39536232c5a8ec10e0c8351ad67bec74e4bf0be04ec646b51daca22

Observation bc2b993b-31b0-4a19-92ad-33abae28d6e3 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in neural information processing systems , volume=

Reference 24

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source=arxiv_source observed=2026-08-02T09:44:40.700027Z digest=sha256:0c76fc3d6c886f8dc8770371e717b31c1c646ed44b5812d098ea371086bc210d

Observation 9c664bf2-4ce0-45d0-9979-98743373f8db · outbound

This paper cites URL https://kellerjordan.

Reducing Per-Sample Harm in Stochastic Optimization URL https://kellerjordan

Reference 25

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source=arxiv_source observed=2026-08-02T09:44:40.704130Z digest=sha256:123b5555beb3b2d140e57d75518b0fe78fd1197bec1f462f96e2e8bdb219ca4d

Observation d0fe0fb5-824c-4f4f-836f-7f04e8f18c54 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Machine Learning , pages=

Reference 26

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source=arxiv_source observed=2026-08-02T09:44:40.708470Z digest=sha256:4af73bebc7b255d475560e2ed1e93e06ea1f5bb655c4acad626f4b4776fbac75

Observation dc1090a0-6102-4146-8e66-301e86a4e650 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 27

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source=arxiv_source observed=2026-08-02T09:44:40.712523Z digest=sha256:3f7cdf31a7f1e521052152cea1e4e71d61db7cddf150b685a903082afb1112a9

Observation 3e74bd6e-c2fb-46f2-b847-4d67b9f780ff · outbound

This paper cites , author=.

Reducing Per-Sample Harm in Stochastic Optimization , author=

Reference 28

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source=arxiv_source observed=2026-08-02T09:44:40.716413Z digest=sha256:19b7c0a29705141b682074d459bb1cb4eb996ac17b46b9cad0702896f90132a1

Observation 42af4c44-9151-4eff-b3d1-873000311657 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Machine Learning , pages=

Reference 29

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source=arxiv_source observed=2026-08-02T09:44:40.720469Z digest=sha256:c8e67f8ea48d32aecef37061cc6d65fa4fbfe4507f9bb1565c9e07303c9edb30

Observation ec10feda-d8ef-4d56-887b-1c3eebaa9f89 · outbound

This paper cites SOAP: Improving and Stabilizing Shampoo using Adam.

Reducing Per-Sample Harm in Stochastic Optimization SOAP: Improving and Stabilizing Shampoo using Adam

Reference 30

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source=arxiv_source observed=2026-08-02T09:44:40.724642Z digest=sha256:6dd6979bee87bd948fdba3114a2e181f6dba8113763a3b0c0bf125728b738ddf

Observation 468af64d-3759-4aa0-9504-30bc5eb2a9c0 · outbound

This paper cites Proceedings of the 30th International Conference on Machine Learning , year=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the 30th International Conference on Machine Learning , year=

Reference 31

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source=arxiv_source observed=2026-08-02T09:44:40.729193Z digest=sha256:c1e32b354931a12010186347e846bcfab132f734ba5080535d91b12360c2d6f2

Observation dfd64c93-33a3-4eba-a1be-1a2595ce901a · outbound

This paper cites Doklady Akademii Nauk SSSR , volume=.

Reducing Per-Sample Harm in Stochastic Optimization Doklady Akademii Nauk SSSR , volume=

Reference 32

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source=arxiv_source observed=2026-08-02T09:44:40.733136Z digest=sha256:e0f85ae6c89e20bb14db61add4ab064471f5b7c66e2045c4f9d9fc4d2245f8e5

Observation 9cea0ba4-b1b3-4014-b5b6-c5c59f21df2b · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 33

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source=arxiv_source observed=2026-08-02T09:44:40.737180Z digest=sha256:a1ad1eb85cb1178992c8f52409f68a5fdee57c77d0cd0fb7f4e0328904ae81f0

Observation 8ef22d6e-9726-4598-99d2-d9a05fee2cd2 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 34

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source=arxiv_source observed=2026-08-02T09:44:40.741429Z digest=sha256:b726d29789d2d2d4d5f6f32154c4f5a2d8cadeff4535c0f528f3a80073a6b771

Observation 26c16006-09b1-4a87-b4d5-2f6c45c14ff0 · outbound

This paper cites arXiv preprint arXiv:2510.00236 , year=.

Reducing Per-Sample Harm in Stochastic Optimization arXiv preprint arXiv:2510.00236 , year=

Reference 35

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no resolver link, observed 2026-08-02T09:44:40.745394Z

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source=arxiv_source observed=2026-08-02T09:44:40.745394Z digest=sha256:fe2c80ed2414ab95b7677b54fb0c4e7f62e0eb96dc0e2aca49ae6cd1c1dffafd

Observation b4b3146b-fe17-46d2-8098-4bdd77f2d200 · outbound

This paper cites Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the 2016 ACM SIGSAC conference on computer and communications security , pages=

Reference 36

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source=arxiv_source observed=2026-08-02T09:44:40.749692Z digest=sha256:3084b87e41e95b7b77217ab5aba510a21aea2f6ad5021886c328c9cd5c4fdd67

Observation 888a603f-4ad9-4b54-810d-5944ba3bdbf7 · outbound

This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

Reducing Per-Sample Harm in Stochastic Optimization Opacus: User-Friendly Differential Privacy Library in PyTorch

Reference 37

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source=arxiv_source observed=2026-08-02T09:44:40.753808Z digest=sha256:6c1db9ac1b981d3dcdc62a1bcc9310759469f237144389baca31f8b0b662e395

Observation 6e899085-3736-401f-933e-a8ffaab4dcd6 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 38

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source=arxiv_source observed=2026-08-02T09:44:40.758406Z digest=sha256:ec00abb33e76c88ce70ed0c76916c7096b516405f1797142ef5102cb29589ae5

Observation 3ec6a79c-ad45-4f4a-a461-baf63deca6d3 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 39

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source=arxiv_source observed=2026-08-02T09:44:40.762284Z digest=sha256:e67aa31ad09f3fd0a1830f4018b0914ba1c1ec6585165087fdaa44dc68423f35

Observation a23a79a8-d87a-42cb-8edf-a3c6daf1a5b7 · outbound

This paper cites ArXiv , year=.

Reducing Per-Sample Harm in Stochastic Optimization ArXiv , year=

Reference 40

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no resolver link, observed 2026-08-02T09:44:40.766282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:44:40.766282Z digest=sha256:c573f7d50baffb3b1fb10d526b3e5b80f23bb0155ef12bd47d7e98766730de7b

Observation 34a171f0-68ec-4e4c-9c11-6fbc86599cd2 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Artificial Intelligence and Statistics , pages=

Reference 41

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no resolver link, observed 2026-08-02T09:44:40.770397Z

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source=arxiv_source observed=2026-08-02T09:44:40.770397Z digest=sha256:e8859b9d13937717e0528a872f8a2149ffa97224d460378ec49616d3caa46281

Observation 1b8837b3-db7b-4df1-9a0a-69e2209c4c12 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Machine Learning , pages=

Reference 42

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source=arxiv_source observed=2026-08-02T09:44:40.774604Z digest=sha256:33f605bd12841aeb6eeca8e266f579e0c4cd44a2ade85ad6e87ebd329ab19083

Observation 7c4ec20a-5025-4aa0-89fa-03404f7cc7fa · outbound

This paper cites Journal of mathematical imaging and vision , volume=.

Reducing Per-Sample Harm in Stochastic Optimization Journal of mathematical imaging and vision , volume=

Reference 43

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no resolver link, observed 2026-08-02T09:44:40.779705Z

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source=arxiv_source observed=2026-08-02T09:44:40.779705Z digest=sha256:267c796ac225034bbe4b539c49838b68889dfa3b65743d98ddd6043f83713ac1

Observation d520c6ec-cbd8-4bcf-b12b-f932ccdf827f · outbound

This paper cites Advances in Order Restricted Statistical Inference: Proceedings of the Symposium on Order Restricted Statistical Inference held in Iowa City, Iowa, September 11--13, 1985 , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Advances in Order Restricted Statistical Inference: Proceedings of the Symposium on Order Restricted Statistical Inference held in Iowa City, Iowa, September 11--13, 1985 , pages=

Reference 44

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no resolver link, observed 2026-08-02T09:44:40.783719Z

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source=arxiv_source observed=2026-08-02T09:44:40.783719Z digest=sha256:c4912b50b81bd5d1a22468bd109b2f8f9868b1f74b4be5d0f29b1c619d6e97e2

Observation 8cbb27be-a112-40ce-a106-93b7d3744385 · outbound

This paper cites Fixed-point algorithms for inverse problems in science and engineering , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Fixed-point algorithms for inverse problems in science and engineering , pages=

Reference 45

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no resolver link, observed 2026-08-02T09:44:40.787657Z

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source=arxiv_source observed=2026-08-02T09:44:40.787657Z digest=sha256:07a2e30b0695673b4c16d386919222b50218fcb54fd1cd61d9c6caf4205144d6

Observation 7a77f8d6-916e-41f2-8d31-fcfa8c1dd221 · outbound

This paper cites SIAM review , volume=.

Reducing Per-Sample Harm in Stochastic Optimization SIAM review , volume=

Reference 46

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no resolver link, observed 2026-08-02T09:44:40.791907Z

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source=arxiv_source observed=2026-08-02T09:44:40.791907Z digest=sha256:30cd8a3d9848cf0d4c5cfd17c430fc9dd5fcf9e2d1be8a6c1f0b487dcb5bb731

Observation 0bbd63d2-dfc8-4cf5-871d-7b4daea675d1 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International Conference on Learning Representations , year=

Reference 47

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source=arxiv_source observed=2026-08-02T09:44:40.795816Z digest=sha256:bca0e4647caa3052dd9b2ea81f8acde76586cd45bb5963c51962df9d716ec580

Observation 8313e6f9-1321-415c-943f-1034c28be863 · outbound

This paper cites Proceedings of the European conference on computer vision (ECCV) , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the European conference on computer vision (ECCV) , pages=

Reference 48

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no resolver link, observed 2026-08-02T09:44:40.799827Z

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source=arxiv_source observed=2026-08-02T09:44:40.799827Z digest=sha256:fcd427b5c9889bc28bd95396f7ad5e28d8f6bc69c86682ccda822bd62bae83c4

Observation 14020f99-745d-4aad-a6d0-5527d2201098 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization International conference on machine learning , pages=

Reference 49

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source=arxiv_source observed=2026-08-02T09:44:40.803818Z digest=sha256:36a2cadb6204a62b0f79459e3985e8f5427704e6a871d8d36450258e7c8fc1bd

Observation c5d16bdf-0a9e-4f92-a844-d97741e0859b · outbound

This paper cites 2021 , journal =.

Reducing Per-Sample Harm in Stochastic Optimization 2021 , journal =

Reference 50

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no resolver link, observed 2026-08-02T09:44:40.808130Z

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source=arxiv_source observed=2026-08-02T09:44:40.808130Z digest=sha256:891e0649e8d0364e85687accd6f05a2a724d3068a80153f476ce90c40ca1901c

Observation f2b73443-4fc5-49de-be1a-0e9645cafb5c · outbound

This paper cites Proceedings of the IEEE conference on computer vision and pattern recognition , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the IEEE conference on computer vision and pattern recognition , pages=

Reference 51

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source=arxiv_source observed=2026-08-02T09:44:40.812365Z digest=sha256:52b3e1b94150e5e82c1c4e62884732ac48508e04646a73b6592e13951fd50517

Observation a9847dd0-9ea8-4980-a5c7-6bd14d499ce4 · outbound

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

Reducing Per-Sample Harm in Stochastic Optimization Advances in neural information processing systems , volume=

Reference 52

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no resolver link, observed 2026-08-02T09:44:40.816337Z

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source=arxiv_source observed=2026-08-02T09:44:40.816337Z digest=sha256:338fe0208a6db7e64e08e299f222357ec68dea16214aa8e0bf3db0dc1cbc48ac

Observation 6ffc2b6b-0f8b-43eb-a8b0-4ba439f5a08d · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

Reducing Per-Sample Harm in Stochastic Optimization Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 53

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source=arxiv_source observed=2026-08-02T09:44:40.820519Z digest=sha256:4f04bb68c97314252f7be2db8930053bd63b0299120ed6eccafdb9015bf20c2d

Observation aaa537cd-25f5-4cc3-bf62-9742714a7e16 · outbound

This paper cites Journal of research of the National Bureau of Standards , volume=.

Reducing Per-Sample Harm in Stochastic Optimization Journal of research of the National Bureau of Standards , volume=

Reference 54

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source=arxiv_source observed=2026-08-02T09:44:40.825064Z digest=sha256:56bca7c3cac59e05d1a324f8bfef42a8a478a0c550a1a82de4bd2336be2a7aa4

Observation 6e68c122-dce6-4a75-8cda-3a39509e41c5 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , month =

Reference 55

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no resolver link, observed 2026-08-02T09:44:40.829098Z

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source=arxiv_source observed=2026-08-02T09:44:40.829098Z digest=sha256:cdc23481c5f41ce0cab9b0b55641842c770802caa3fb7d190a7782e6c911a981

Observation 7a992f48-d7a6-480f-a5cf-d2e5a32c0870 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages=.

Reducing Per-Sample Harm in Stochastic Optimization Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops , pages=

Reference 56

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source=arxiv_source observed=2026-08-02T09:44:40.833827Z digest=sha256:b423e7ad403e5e9361ac707431e53e0bef0f11faa13ea31c879f7668b53723af

Pith citing papers

No inbound Pith citation observations are available.