Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T08:04:06.432613Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2607.10959.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-14T08:04:06.432613Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
61 of 61 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4b968111-fd5f-4ffd-b182-d6ac105ee651 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages =
Reference 1
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Observation 623937b3-3ef9-447c-9f91-63d10c3b37ff · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training 2017 , publisher=
Reference 2
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Observation 7cb5aa6c-7e3c-4a66-83d3-f64e28497e78 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Unresolved cited work
Reference 3
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Observation 08b9c5ff-8cd8-4f80-80f7-5ba8e18e9cf7 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Unresolved cited work
Reference 4
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Observation 8f4e4d89-7fa2-4a8b-a650-ced27cc70e38 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Unresolved cited work
Reference 5
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Observation 58d410af-f73d-4cc6-a8c9-3971984c4c02 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Unresolved cited work
Reference 6
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Observation e8122511-0a4b-40c7-b8de-eca97b870ba0 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Advances in Neural Information Processing Systems , year =
Reference 7
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Observation 60eb9750-6b4d-457b-8c2b-930d7bb930a8 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Optimal Linear Decay Learning Rate Schedules and Further Refinements
Reference 8
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Observation 3ebd8729-cbf8-45b8-bbc3-1b34afc21744 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Advances in Neural Information Processing Systems , volume=
Reference 9
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Observation d014b6bf-1a40-4b49-b7f5-7a7498118a2b · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Unresolved cited work
Reference 10
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Observation a33951fc-dcc2-4d0d-8ac5-3b41959ae176 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Learning Representations , year =
Reference 11
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Observation 708e1389-ec1e-47d4-acc4-1a029c23e117 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Simple and Scalable Strategies to Continually Pre-train Large Language Models
Reference 12
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Observation 94ef733a-0294-4260-bb27-a08c404f13d1 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Advances in Neural Information Processing Systems , volume =
Reference 13
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Observation f522eb20-3147-4bf7-9b0f-b92fa207bf6a · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Unresolved cited work
Reference 14
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Observation 8a18bf9e-8f8f-4c0c-95c9-cba372d83ae5 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training DeepSeek-V3 Technical Report
Reference 15
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Observation 14da3bf0-4d5a-4635-9db6-74111616e6a9 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Continual Pre-Training of Large Language Models: How to (re)warm your model?
Reference 16
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Observation 5ad8840a-331e-46ae-9dbd-8b825817c635 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training arXiv preprint arXiv:2510.06826 , year =
Reference 17
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Observation 17f0a578-cff1-475f-b1ad-cad8eb94c624 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Understanding Warmup-Stable-Decay Learning Rates: A River Valley Loss Landscape Perspective
Reference 18
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Observation 71b0fb1a-92c2-4bcd-9491-454a0d8c9d4f · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training The Annals of Mathematical Statistics , volume =
Reference 19
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Observation 2f7511f5-d00b-4aa3-9797-17fc6691651e · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Foundations and Trends in Optimization , volume =
Reference 20
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Observation 5e905f5d-ee2a-4f4b-b72c-9e5d0a50e752 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Proceedings of the 30th International Conference on Machine Learning (ICML) , pages =
Reference 21
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Observation b1962412-6c91-4623-945b-9096d1bee557 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training and Netrapalli, Praneeth , journal =
Reference 22
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Observation 0cd15923-1160-4a5e-85b8-0c04dcf74653 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Conference on Learning Theory (COLT) , pages =
Reference 23
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Observation 7bf7f6d3-b2f4-49c2-be73-503860a78a89 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training SIAM Journal on Control and Optimization , volume =
Reference 24
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Observation f6c1aaad-5cf0-4cb8-93fc-a7cb771988b6 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Reference 25
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Observation 2dbc943b-0a39-4915-bc00-c6a07520db28 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training IEEE Transactions on Information Theory , volume =
Reference 26
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Observation ee9c414d-dfea-4f2b-ae3e-1d58a28ee316 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Reference 27
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Observation cb5f67a1-5e0a-4372-af19-7c9fb68b9354 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training SIAM Review , volume =
Reference 28
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Observation d2ba8398-7a55-46e9-bb4a-cd85f81ba81d · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Last Iterate Convergence of
Reference 29
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Observation ccf42247-756d-468b-a263-914c298aa195 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Scaling Laws for Neural Language Models
Reference 30
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Observation 56d66542-6c29-4843-a748-1fce2df4d2a5 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Training Compute-Optimal Large Language Models
Reference 31
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Observation 66fa0ed2-4a94-41d3-9c0b-55a3e0fec83c · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Annual Meeting of the Association for Computational Linguistics , year =
Reference 32
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Observation f7c02691-03af-45df-88bc-1725b749afe5 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training LLaMA: Open and Efficient Foundation Language Models
Reference 33
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Observation 99117efc-33eb-4661-9ad6-41741f9055d1 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Advances in Neural Information Processing Systems , year =
Reference 34
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Observation 5c2fb8e6-c163-4b17-81f3-c321c283c2e6 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Learning Representations , year =
Reference 35
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Observation fc08684b-5b54-478b-bdbe-8a790e95adc8 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Learning Representations , year =
Reference 36
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Observation a9510590-6a2c-4f8a-8937-7d82e7444cf3 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training 2024 , howpublished =
Reference 37
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Observation baaa234d-3af9-45b1-809a-95682d0c0fc2 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Proceedings of the 20th International Conference on Machine Learning (ICML) , pages =
Reference 38
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Observation bdc9e83c-8412-466a-b5ea-b623a01f46dd · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training and Hestness, Joel and Dey, Nolan , year =
Reference 39
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Observation c8ef9a40-a4c0-430a-b21e-0619318d037c · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for
Reference 40
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Observation b99f9a30-c066-4cd1-9316-c5cc3d4418c4 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training arXiv preprint arXiv:2602.03702 , year=
Reference 41
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Observation ccfc6571-ac51-4922-8f6a-f16fab80f584 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Learning Representations , year =
Reference 42
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Observation af73a82f-de29-4809-a012-b7bcdcefd012 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training arXiv preprint arXiv:2312.08531 , year=
Reference 43
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Observation 948419de-a8c6-4fbe-9f0a-1ea0c86e0fe9 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Old Optimizer, New Norm: An Anthology
Reference 44
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Observation 87452c44-f0f7-4b6a-93db-d6a4e860b88c · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Anytime Training with Schedule-Free Spectral Optimization
Reference 45
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Observation 4899f82c-5462-4ba3-8c4b-3f31964622b5 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Gradient Descent's Last Iterate is Often (slightly) Suboptimal
Reference 46
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Observation 82b592df-f960-4faa-aa55-54c321cbcdb7 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models
Reference 47
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Observation bc8022f5-37a3-44bd-854d-71f1e4c25e2c · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Power Scheduler: A Batch Size and Token Number Agnostic Learning Rate Scheduler
Reference 48
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Observation 17bc5f56-7e6d-4021-90d4-5034dd79dba3 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training
Reference 49
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Observation 946f17a8-297a-41de-843e-b5edf6e0d030 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training
Reference 50
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Observation 208cfa66-0cc2-4c6d-925f-0c2d559ff9b5 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Efficient Continual Pre-training by Mitigating the Stability Gap
Reference 51
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Observation ea9a4ce6-bb20-4ccf-b116-ea5ddf8f6584 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Learning Representations (ICLR) , year =
Reference 52
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Observation 2b84bfe1-2116-411a-b4fe-13fde4b8f7f5 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
Reference 53
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Observation 59937c91-802e-4155-afeb-3c5d252efd55 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Taking the Road Less Scheduled with Adaptive Polyak Steps
Reference 54
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Observation cf372b36-f076-4953-8a3b-53e2690c4e55 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training 2 OLMo 2 Furious
Reference 55
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Observation 4557f549-0212-40f7-b244-df88b88eb25f · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Scaling Optimal
Reference 56
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Observation 486dd93a-4082-488e-92f4-b365dd16e2b6 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Machine Learning (ICML) , year =
Reference 57
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Observation 92f29c48-c542-4454-83ec-796acd8a34ee · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Early Weight Averaging Meets High Learning Rates for
Reference 58
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Observation 5519170b-8034-4edf-8eb0-c05edc37795f · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Mpemba Effect in Large-Language Model Training Dynamics: A Minimal Analysis of the Valley-River model
Reference 59
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Observation 6f0df9ef-db9d-417e-a1d8-41ecbd3102e0 · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training Advances in Neural Information Processing Systems (NeurIPS) , year =
Reference 60
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Observation 8bb58ada-5e7b-485a-bd57-888d158d446c · outbound
WSqD: A Horizon-Free Learning Rate Schedule for Large Model Training International Conference on Learning Representations (ICLR) , year =
Reference 61
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No inbound Pith citation observations are available.