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Paper Citation Record · LEDGER

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning

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.

pith.paper-citation-record.v1
2607.17568 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:41:43.172076Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 13658f8d-f115-42b8-8d60-ad5843578d23 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:34.932830Z digest=sha256:3cca18bdd273ff787bfba23ab0aee0b8766f4d9ac25de2521ecc9c310d6c9a52

Observation 7854184c-09f2-4a69-ac9b-54859b9c6d10 · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=.

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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no resolver link, observed 2026-08-01T17:41:35.031506Z

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source=arxiv_source observed=2026-08-01T17:41:35.031506Z digest=sha256:54e787df1d84072a23a158ad9bdf803157cce9be8126364c9bd4b2db68ca7cca

Observation 436d84c5-ccbb-400c-8e99-bca76c83b214 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

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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no resolver link, observed 2026-08-01T17:41:35.148389Z

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source=arxiv_source observed=2026-08-01T17:41:35.148389Z digest=sha256:dbb4c5aa462d7cbce736e2233031fe5f8a21a20af1dec671606711e2c1733322

Observation 57ef232b-82a4-427b-9f98-b32697a5c929 · outbound

This paper cites Neural Computation , volume=.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Neural Computation , volume=

Reference 4

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no resolver link, observed 2026-08-01T17:41:35.318335Z

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source=arxiv_source observed=2026-08-01T17:41:35.318335Z digest=sha256:80eba1f6362d1ff2f8330c77eeb59e21d2fc2b897c42764e5cfb9dbd17afca9d

Observation 19aace09-24b4-45ec-9fcf-9f215f189291 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

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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source=arxiv_source observed=2026-08-01T17:41:35.462365Z digest=sha256:9221d5b6c0ad30f5a1d38b800cd5f27246bce2875c233e760645f45861cd0dd7

Observation 7b919606-8578-4485-873c-9182c33fafa6 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 6

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no resolver link, observed 2026-08-01T17:41:35.615869Z

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source=arxiv_source observed=2026-08-01T17:41:35.615869Z digest=sha256:bfef76d4dd069e0ca103f1a097a86c4608f4741b20197c1146e0bdc25975b53e

Observation b39a6385-0acc-474d-acf3-de0f362af51c · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

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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no resolver link, observed 2026-08-01T17:41:35.787637Z

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source=arxiv_source observed=2026-08-01T17:41:35.787637Z digest=sha256:29b6b062b914b6f150abb25113feb2bb5adf9649a21e91543c6ad42a8c64d37a

Observation c80a311b-8178-48b4-944c-804aa4e6b14c · outbound

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

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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no resolver link, observed 2026-08-01T17:41:35.930879Z

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source=arxiv_source observed=2026-08-01T17:41:35.930879Z digest=sha256:6a7715052995a160c92da05b84a1521682998464ea572c66ee86ec1f218e24f0

Observation d59115d9-6449-4e8e-9a44-dfa9cc7d5fef · outbound

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

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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no resolver link, observed 2026-08-01T17:41:36.076358Z

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source=arxiv_source observed=2026-08-01T17:41:36.076358Z digest=sha256:f24f7216be372b391d2fc6687e3dc5081e27cdd1855749d0a70b7085856ecc32

Observation 2470172c-80f6-40b7-b695-09300dc1f2bc · outbound

This paper cites Faster gaze prediction with dense networks and Fisher pruning.

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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no resolver link, observed 2026-08-01T17:41:36.192278Z

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source=arxiv_source observed=2026-08-01T17:41:36.192278Z digest=sha256:525e2a195d94e3e1916ccae8f5dd4dd0eb7783ecd09089d2d4d57bed839fe7b5

Observation 90217526-e66a-4860-923d-71fac63e07a4 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

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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no resolver link, observed 2026-08-01T17:41:36.342142Z

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source=arxiv_source observed=2026-08-01T17:41:36.342142Z digest=sha256:49d89d384c03929a99d54bb8ddd7ba60cf32544801f41285e3ae3f3a3d9a0dde

Observation b87522d2-7c21-455c-bee0-d3e21b63e652 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

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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no resolver link, observed 2026-08-01T17:41:36.423460Z

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source=arxiv_source observed=2026-08-01T17:41:36.423460Z digest=sha256:0f489952cab4594ed9874d9530d30fd6a2fd98e2c9b2e64f379c5a8b5ad1af2b

Observation 6c83f83b-2449-4be8-84f8-1a3c0548c644 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

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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no resolver link, observed 2026-08-01T17:41:36.522760Z

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source=arxiv_source observed=2026-08-01T17:41:36.522760Z digest=sha256:151980e2680125830eab8653f7f3403ecaf55f9d70626b76f66050e0889d26a1

Observation c0415514-d886-4148-82bb-f1575d2fd0b0 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL) , year=.

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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no resolver link, observed 2026-08-01T17:41:36.646580Z

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source=arxiv_source observed=2026-08-01T17:41:36.646580Z digest=sha256:7b931cf6b9a0a6f78337e0f5e0e1032e0d5a195335437d38aaa5548ae5fce97e

Observation 2935905b-3951-4374-ac68-d3dce92ea509 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=.

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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source=arxiv_source observed=2026-08-01T17:41:36.759935Z digest=sha256:8dc94d6bd885303ebf863f4db95e01a3f5f283f9d48aacf726d7a6c18104197e

Observation e749d4d7-be94-4994-b5be-9a062e99546e · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL) , year=.

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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source=arxiv_source observed=2026-08-01T17:41:36.876514Z digest=sha256:c14770feff263f03825d12815159efffd2d1d1e0f519006762f6cbe9d52eb08c

Observation 45e56cc5-26f3-4e06-a676-1076d210f6ff · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 17

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no resolver link, observed 2026-08-01T17:41:36.977111Z

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source=arxiv_source observed=2026-08-01T17:41:36.977111Z digest=sha256:2de56313cfd419adaa72494f7b9cee48cb0ea66eaa1a868a808d4b9a45cbbb82

Observation de39298f-f06d-417e-9749-fa7c1e939460 · outbound

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

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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no resolver link, observed 2026-08-01T17:41:37.055901Z

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source=arxiv_source observed=2026-08-01T17:41:37.055901Z digest=sha256:f56bdcde2fec0193c0b6f2fecfade98c699021973a79bd836e3dfd168267f64c

Observation b75eb1e4-bfb3-4a67-ad06-7a7c062dde7b · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-01T17:41:37.215640Z

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source=arxiv_source observed=2026-08-01T17:41:37.215640Z digest=sha256:9b9c972438b69bf22397a4932a40fc734f58ddd9c23c93d051cb72e6a14e5167

Observation 627b025a-0da6-4ecc-978a-04931956073a · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) , year=.

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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source=arxiv_source observed=2026-08-01T17:41:37.383864Z digest=sha256:1a73c5bbc1976932ae5710b216a2bc8f446bbee7a182170f843462c5a5c33850

Observation 1c6ea06d-aca1-45d6-a16a-ca39fcbcc1ad · outbound

This paper cites and Nascimento, Marcelo Gennari do and Hoefler, Torsten and Hensman, James , booktitle=.

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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source=arxiv_source observed=2026-08-01T17:41:37.503776Z digest=sha256:5526066e152456764236523f5a8e2cd628999e50af2b9bf2ae8981d86f399804

Observation c7eb3b1c-5620-4943-94ce-1a6cd9e6ff9a · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-01T17:41:37.593800Z digest=sha256:f1c0e9ed8ded328a849952f96c96b5a02d7544378fca03acb9e7eaf37c1625bd

Observation aaa31625-3163-421e-994c-d36eac5d66e3 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-01T17:41:37.757945Z digest=sha256:b879983db1fecc983df7b685359c2baedb2a336d430613cb38d13381d1edaf5a

Observation 605dcaca-6b2a-4cf5-8ecc-eab69e840014 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-01T17:41:37.926112Z

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source=arxiv_source observed=2026-08-01T17:41:37.926112Z digest=sha256:dc51a218a7f3a3fccd0d06dfc720ef53382fe57cc6b273ff7622f88901b9bc77

Observation 59daa806-a4a1-43fe-ac58-2596eb66f20f · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 25

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source=arxiv_source observed=2026-08-01T17:41:38.044098Z digest=sha256:ca79d84b56c4c406ab40779c2f351bd0f60e1a7f121485b46e0b211fb8aa113e

Observation 8f9edaff-355c-4e46-824b-7565e87fb59a · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-01T17:41:38.148031Z digest=sha256:308f2e548e67f897ac192d6f58af97ea1c9a39945e08f34f02f472cc05ca70f1

Observation 30e8d64b-57a1-421d-9e04-ab53da1e5693 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-01T17:41:38.262264Z

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source=arxiv_source observed=2026-08-01T17:41:38.262264Z digest=sha256:2ca282e7fffe8324befe8e42d9017c6fbe79c15785a6057b104e851203b6dc6d

Observation c4f15847-119f-4ef1-843f-708fa330a1a8 · outbound

This paper cites Shortened.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Shortened

Reference 28

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source=arxiv_source observed=2026-08-01T17:41:38.350474Z digest=sha256:7a429a44ca6f127745ce28dfdffbb4f8dd128fbbf403c3280eed5c1138b7304d

Observation 65f1470d-34e8-492f-800b-949b2e42d7ca · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 29

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no resolver link, observed 2026-08-01T17:41:38.462630Z

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source=arxiv_source observed=2026-08-01T17:41:38.462630Z digest=sha256:38b15dd170afb1776d43aee0730e07915e5f49d061d6438808da34f6420c9344

Observation f878c3c3-fef2-4be7-9db1-7869aa02543b · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 30

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no resolver link, observed 2026-08-01T17:41:38.568914Z

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source=arxiv_source observed=2026-08-01T17:41:38.568914Z digest=sha256:f70666dd745e4442fad5400ac2975290bfd900b256be2886fadba6cb8b9b8343

Observation d841a234-2b4e-4886-9544-ab73f313a488 · outbound

This paper cites Everybody Prune Now: Structured Pruning of.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Everybody Prune Now: Structured Pruning of

Reference 31

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source=arxiv_source observed=2026-08-01T17:41:38.738313Z digest=sha256:f5f1b75746674ffe84a9766db50f956bd06795a637d03eebc49764465ca15d10

Observation d8507342-1e73-4dd8-97cb-b00ffdeda781 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 32

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source=arxiv_source observed=2026-08-01T17:41:38.925852Z digest=sha256:4881afc3c6df54bdd0ecd81776fdfbf16789a80b5d14278e883d02e33353a38c

Observation 78978fdf-2344-4eca-aaa6-f4a5665d76be · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

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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no resolver link, observed 2026-08-01T17:41:39.058644Z

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source=arxiv_source observed=2026-08-01T17:41:39.058644Z digest=sha256:159b08b5cba3675ee3b9ae91f2c2e05a6dd2675d7eba4f21b7bee47982d00522

Observation 7155c239-9936-4297-b0af-9d314e0e6e1d · outbound

This paper cites Compressing.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Compressing

Reference 34

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no resolver link, observed 2026-08-01T17:41:39.177753Z

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source=arxiv_source observed=2026-08-01T17:41:39.177753Z digest=sha256:302919960dc782cbb829399c8b91cafceaca4098642a2c31e3c7583d01aecaf1

Observation 681d7639-b4bc-4cdc-9b78-09093042fb38 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

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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no resolver link, observed 2026-08-01T17:41:39.322418Z

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source=arxiv_source observed=2026-08-01T17:41:39.322418Z digest=sha256:b14d974eb65385fa0b183016d0113704a7afbeefee245958bb613e40ca7bc22c

Observation 7be5218b-1d94-49f6-a1f8-6fa3490ed0b0 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 36

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no resolver link, observed 2026-08-01T17:41:39.516859Z

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source=arxiv_source observed=2026-08-01T17:41:39.516859Z digest=sha256:93199d5718e5c1f97128c006ccacafbb2ad29c57c588013fe8845a8ef0ebecc2

Observation c605c2ff-291a-470c-9763-e7c934bfdbd1 · outbound

This paper cites and Sablayrolles, Alexandre and Mensch, Arthur and others , journal=.

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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source=arxiv_source observed=2026-08-01T17:41:39.643769Z digest=sha256:ff8ac73b7df70638cfe18e7400fc507ddd3ad84693872f8bc128a1056f92ecc9

Observation 562e8cf3-8f55-470e-84c5-444e19b693fa · outbound

This paper cites Qwen2.5 Technical Report.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Qwen2.5 Technical Report

Reference 38

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source=arxiv_source observed=2026-08-01T17:41:39.798061Z digest=sha256:d89df3fd0743a20481afadef24a729a921974636c0186ea5f60460db157932bc

Observation b9259456-da6f-4cfb-8cdc-4ea968286fd3 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 39

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source=arxiv_source observed=2026-08-01T17:41:39.970805Z digest=sha256:88b3e78e49187a416b8b252abcd38eb206de4d0b6e961b5ec72d40a8221be8a2

Observation e2daea0f-c355-4eb5-bdec-363fd6a10963 · outbound

This paper cites 2024 , howpublished=.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning 2024 , howpublished=

Reference 40

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.154431Z digest=sha256:44a7a8b5a4805d59b6c5663c92602d2e4d717a3bb7fea91a54098300ce7dc13c

Observation d6c3c77e-883c-4995-ac73-e0e9bf7533d0 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

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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no resolver link, observed 2026-08-01T17:41:40.308213Z

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source=arxiv_source observed=2026-08-01T17:41:40.308213Z digest=sha256:9a623c36f709802ac0c3900eace179e72f353d6f47f0894530e756d799f4412a

Observation f0909523-3f36-4bf9-b4e2-7dfd7ce79e43 · outbound

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

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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no resolver link, observed 2026-08-01T17:41:40.390704Z

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source=arxiv_source observed=2026-08-01T17:41:40.390704Z digest=sha256:d2aa7cf34b656a2d26b9b6059d8cf6b7d571c08369672b628d29d9cda52eb871

Observation 32e98059-dc27-4579-bfd1-84382a042d07 · outbound

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

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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no resolver link, observed 2026-08-01T17:41:40.496196Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.496196Z digest=sha256:0965a45d95d072593bdc562596d558621dad9b12d2c00ce6c06d9417d7b68090

Observation e5f64fe5-2bea-4c2f-ada3-92c2570d1766 · outbound

This paper cites Computational Linguistics , volume=.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Computational Linguistics , volume=

Reference 44

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.574748Z digest=sha256:743da9be993886da2fb85583a983c54012f73b6419be01c18037bc09a4377381

Observation cd9d0a75-4102-4f48-82c6-65bc29269ef4 · outbound

This paper cites Think You Have Solved Question Answering? Try.

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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no resolver link, observed 2026-08-01T17:41:40.684522Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.684522Z digest=sha256:663baa9e5513727a1dd6b454d6a20c78b7bac9da3c10beecc5b856e35480be6d

Observation 0aac9b22-4233-4a28-a82f-81d7e7a0fec0 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 46

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no resolver link, observed 2026-08-01T17:41:40.763737Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.763737Z digest=sha256:7818f3f129c652539ce2823f07502f1204c45c025cc0997f6841282e283bf818

Observation a3568e67-d1c7-41d2-aeb7-4e61ac98487f · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-01T17:41:40.870564Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.870564Z digest=sha256:11c89fc659483259b3cbbe30d3ea14d50cc07412fbc5c04aa4c7e14f17871394

Observation 0dcec41b-9b1d-42b8-bd42-8e91dcb22d82 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 48

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no resolver link, observed 2026-08-01T17:41:40.967768Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:40.967768Z digest=sha256:386751fba472cdf837961064c0207e434afc6aa50dc8381e85ae78997aeae52d

Observation 65b86c08-f629-488b-969e-2a2c3e5c3f8b · outbound

This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , year=.

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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no resolver link, observed 2026-08-01T17:41:41.088734Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:41.088734Z digest=sha256:e958097d3a9eadef7caffafcc831cc202dace9ee2a78290f8d0d3fb44a4262dc

Observation 661dc721-219f-4779-9db1-ac0cd0694e0f · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-01T17:41:41.215768Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:41.215768Z digest=sha256:e04e875c599b49caf0eaa406d491fd8acd312f47e24badb68979c214d3fe8acb

Observation f4a5830c-b848-42c6-80dd-2dc56ee51ad4 · outbound

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

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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no resolver link, observed 2026-08-01T17:41:41.420452Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:41.420452Z digest=sha256:0ff16f9d9a6ec9e0ef52c5eae40f20e9c8cdb9ea75025eb46c0ed3a8863ffb09

Observation 10ba0c6c-29fd-46df-999d-f57c22ee2669 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

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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no resolver link, observed 2026-08-01T17:41:41.581374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:41.581374Z digest=sha256:07866d7b3530876c706ecefb770aded9231bfbce20e65b85ea21c8293145f20d

Observation bc680662-6119-4c09-9cb2-d9144bcda4c8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

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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no resolver link, observed 2026-08-01T17:41:41.736769Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:41.736769Z digest=sha256:416ca568c859856b227fe8c940951909410d3aad43fb145091ed2f2b5f03c7a3

Observation ae969e13-20a9-455c-b31b-8bdc44586cd5 · outbound

This paper cites Program Synthesis with Large Language Models.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Program Synthesis with Large Language Models

Reference 54

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no resolver link, observed 2026-08-01T17:41:41.896171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:41.896171Z digest=sha256:b8c9786960f6d1a38bcab234975318e173d36d153de01fd4e24570234f439c02

Observation 8016bce7-9fe5-428b-8cf6-1b53ef18e5b0 · outbound

This paper cites Zenodo, version v0.4.0 , year=.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Zenodo, version v0.4.0 , year=

Reference 55

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no resolver link, observed 2026-08-01T17:41:42.035196Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:42.035196Z digest=sha256:e6d7598db9e7e3e05b74659884110e5998e7c6bf2d5be26b95492aaff68458bc

Observation 35582032-af40-4a10-b714-cc4884872695 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 56

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no resolver link, observed 2026-08-01T17:41:42.222644Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:42.222644Z digest=sha256:df29c43218750e98d73d4a5bfae2a1853d1e50c0f8ff52ce27f81bf1c18d3ed7

Observation d856f0ca-a5ca-4af9-890b-2936160866aa · outbound

This paper cites and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Wang, Lu and Chen, Weizhu , booktitle=.

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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no resolver link, observed 2026-08-01T17:41:42.395704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:42.395704Z digest=sha256:547d77c07ea35674c503f008e8ebca1943a118c765ceb1e114cfca9b544cd923

Observation 547f42bb-1152-4df5-acdb-5eb4895b7321 · outbound

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

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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no resolver link, observed 2026-08-01T17:41:42.483689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:42.483689Z digest=sha256:10f9c6fd34d71dfe3c0535b0f79b86556c7430712800d093138723fd7d6230cc

Observation 597169c9-d205-48ed-a81f-9422ad351d51 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 59

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no resolver link, observed 2026-08-01T17:41:42.565951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:42.565951Z digest=sha256:04b5fa3b676595433e1d7bbcb3adb77dc1e9bc91f3f285f998eb4787c3e29ef9

Observation 353dc0ce-e0e4-4ed2-ace0-86243655aca7 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 60

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no resolver link, observed 2026-08-01T17:41:42.679845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:42.679845Z digest=sha256:d6df29205601ecc2418b2e49b60f40f8d1244bbbef73db7f31edd0304180f1a6

Observation c38b7ee7-1703-4c6c-8f2d-76c446ab4776 · outbound

This paper cites LLM Compression by Block Removal with Constrained Binary Optimization.

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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no resolver link, observed 2026-08-01T17:41:42.779420Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:42.779420Z digest=sha256:671f9a22a6f63aabd745422ad675074a89caa32ec4f9ba623a12a39a1d183759

Observation f43d5344-df19-4e73-b46b-3d981e5b8228 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 62

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no resolver link, observed 2026-08-01T17:41:42.879085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:42.879085Z digest=sha256:2dd5cade430666427f5786666ee58898e35b075122737df3addb1f836f0cad77

Observation 50669fcf-3b92-4aa7-8fca-a751508ac44a · outbound

This paper cites Efficient.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Efficient

Reference 63

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no resolver link, observed 2026-08-01T17:41:42.977913Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T17:41:42.977913Z digest=sha256:b9e21b88a558f7ca7c2195ee596d6f03deecd61540884fe2992e3c3863aa7e90

Observation 7699f01e-8935-424d-a4e3-420ed5a99af3 · outbound

This paper cites an unresolved cited work.

CoCurve: Cross-Module Co-Pruning Curvature for Training-Free Structured LLM Pruning Unresolved cited work

Reference 64

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no resolver link, observed 2026-08-01T17:41:43.063715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:43.063715Z digest=sha256:9566d7dcdeb2f73cd8f64cc020df46bbc14a356d6be0dfcd540ca20558a18ecf

Observation 9f5bcfc5-a5df-4338-8f7f-cf039e3719ae · outbound

This paper cites Optimal Brain Connection: Towards Efficient Structural Pruning.

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 resolver link, observed 2026-08-01T17:41:43.172076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:41:43.172076Z digest=sha256:3e89fd34b50bd696d29dfffca44d4ab6bab1030b129e71b85c2b3b4f7cf77953

Pith citing papers

No inbound Pith citation observations are available.