Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T17:41:43.172076Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2607.17568.
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 2026-08-01T17:41:43.172076Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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
65 of 65 outbound references displayed
External citation measurements
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Observation 13658f8d-f115-42b8-8d60-ad5843578d23 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 1
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=
Reference 2
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Observation 436d84c5-ccbb-400c-8e99-bca76c83b214 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Distilling the Knowledge in a Neural Network
Reference 3
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Neural Computation , volume=
Reference 4
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Observation 19aace09-24b4-45ec-9fcf-9f215f189291 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 5
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
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Observation b39a6385-0acc-474d-acf3-de0f362af51c · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 7
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning International Conference on Learning Representations (ICLR) , year=
Reference 8
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year=
Reference 9
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Observation 2470172c-80f6-40b7-b695-09300dc1f2bc · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Faster gaze prediction with dense networks and Fisher pruning
Reference 10
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning International Conference on Machine Learning (ICML) , year=
Reference 11
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Observation b87522d2-7c21-455c-bee0-d3e21b63e652 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 12
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Observation 6c83f83b-2449-4be8-84f8-1a3c0548c644 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 13
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Observation c0415514-d886-4148-82bb-f1575d2fd0b0 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) , year=
Reference 14
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Observation 2935905b-3951-4374-ac68-d3dce92ea509 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=
Reference 15
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Observation e749d4d7-be94-4994-b5be-9a062e99546e · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL) , year=
Reference 16
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Observation 45e56cc5-26f3-4e06-a676-1076d210f6ff · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 17
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Observation de39298f-f06d-417e-9749-fa7c1e939460 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning International Conference on Learning Representations (ICLR) , year=
Reference 18
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Observation b75eb1e4-bfb3-4a67-ad06-7a7c062dde7b · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 19
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Observation 627b025a-0da6-4ecc-978a-04931956073a · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , year=
Reference 20
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Observation 1c6ea06d-aca1-45d6-a16a-ca39fcbcc1ad · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning and Nascimento, Marcelo Gennari do and Hoefler, Torsten and Hensman, James , booktitle=
Reference 21
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Observation c7eb3b1c-5620-4943-94ce-1a6cd9e6ff9a · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 22
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Observation aaa31625-3163-421e-994c-d36eac5d66e3 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 23
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Observation 605dcaca-6b2a-4cf5-8ecc-eab69e840014 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 24
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Observation 59daa806-a4a1-43fe-ac58-2596eb66f20f · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 25
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Observation 8f9edaff-355c-4e46-824b-7565e87fb59a · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 26
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Observation 30e8d64b-57a1-421d-9e04-ab53da1e5693 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 27
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Observation c4f15847-119f-4ef1-843f-708fa330a1a8 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Shortened
Reference 28
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Observation 65f1470d-34e8-492f-800b-949b2e42d7ca · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 29
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Observation f878c3c3-fef2-4be7-9db1-7869aa02543b · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 30
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Observation d841a234-2b4e-4886-9544-ab73f313a488 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Everybody Prune Now: Structured Pruning of
Reference 31
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Observation d8507342-1e73-4dd8-97cb-b00ffdeda781 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 32
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Observation 78978fdf-2344-4eca-aaa6-f4a5665d76be · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 33
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Observation 7155c239-9936-4297-b0af-9d314e0e6e1d · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Compressing
Reference 34
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Observation 681d7639-b4bc-4cdc-9b78-09093042fb38 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 35
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Observation 7be5218b-1d94-49f6-a1f8-6fa3490ed0b0 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 36
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Observation c605c2ff-291a-470c-9763-e7c934bfdbd1 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning and Sablayrolles, Alexandre and Mensch, Arthur and others , journal=
Reference 37
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Observation 562e8cf3-8f55-470e-84c5-444e19b693fa · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Qwen2.5 Technical Report
Reference 38
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Observation b9259456-da6f-4cfb-8cdc-4ea968286fd3 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 39
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Observation e2daea0f-c355-4eb5-bdec-363fd6a10963 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning 2024 , howpublished=
Reference 40
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Observation d6c3c77e-883c-4995-ac73-e0e9bf7533d0 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Gemma 2: Improving Open Language Models at a Practical Size
Reference 41
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Observation f0909523-3f36-4bf9-b4e2-7dfd7ce79e43 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning International Conference on Learning Representations (ICLR) , year=
Reference 42
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Observation 32e98059-dc27-4579-bfd1-84382a042d07 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Journal of Machine Learning Research (JMLR) , volume=
Reference 43
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Observation e5f64fe5-2bea-4c2f-ada3-92c2570d1766 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Computational Linguistics , volume=
Reference 44
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Observation cd9d0a75-4102-4f48-82c6-65bc29269ef4 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Think You Have Solved Question Answering? Try
Reference 45
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Observation 0aac9b22-4233-4a28-a82f-81d7e7a0fec0 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 46
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Observation a3568e67-d1c7-41d2-aeb7-4e61ac98487f · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 47
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Observation 0dcec41b-9b1d-42b8-bd42-8e91dcb22d82 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 48
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Observation 65b86c08-f629-488b-969e-2a2c3e5c3f8b · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=
Reference 49
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Observation 661dc721-219f-4779-9db1-ac0cd0694e0f · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 50
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Observation f4a5830c-b848-42c6-80dd-2dc56ee51ad4 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning International Conference on Learning Representations (ICLR) , year=
Reference 51
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Observation 10ba0c6c-29fd-46df-999d-f57c22ee2669 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Training Verifiers to Solve Math Word Problems
Reference 52
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Evaluating Large Language Models Trained on Code
Reference 53
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Observation ae969e13-20a9-455c-b31b-8bdc44586cd5 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Program Synthesis with Large Language Models
Reference 54
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Zenodo, version v0.4.0 , year=
Reference 55
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CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 56
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Observation d856f0ca-a5ca-4af9-890b-2936160866aa · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=
Reference 57
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Observation 547f42bb-1152-4df5-acdb-5eb4895b7321 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning International Conference on Learning Representations (ICLR) , year=
Reference 58
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Observation 597169c9-d205-48ed-a81f-9422ad351d51 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 59
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Observation 353dc0ce-e0e4-4ed2-ace0-86243655aca7 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 60
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Observation c38b7ee7-1703-4c6c-8f2d-76c446ab4776 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning LLM Compression by Block Removal with Constrained Binary Optimization
Reference 61
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Observation f43d5344-df19-4e73-b46b-3d981e5b8228 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 62
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Observation 50669fcf-3b92-4aa7-8fca-a751508ac44a · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Efficient
Reference 63
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Observation 7699f01e-8935-424d-a4e3-420ed5a99af3 · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work
Reference 64
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Observation 9f5bcfc5-a5df-4338-8f7f-cf039e3719ae · outbound
CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Optimal Brain Connection: Towards Efficient Structural Pruning
Reference 65
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No inbound Pith citation observations are available.