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Paper Citation Record · LEDGER

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2607.18280.

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

pith.paper-citation-record.v1
2607.18280 v1

Coverage vector

measured 64 of 64 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:43:32.802071Z

measured 64 of 64 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

64 of 64 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved64
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd448a93-2549-4b94-a911-6f3431e01745 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 1

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source=arxiv_source observed=2026-08-02T09:43:25.016360Z digest=sha256:0fb9f9c4a05b3b248acc93ea8b8c3fdcbfff70097fe31658578ec7a0a509f43c

Observation da9759b3-9371-4454-b2a6-7cb352aacd1e · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Advances in neural information processing systems , volume=

Reference 2

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source=arxiv_source observed=2026-08-02T09:43:25.078358Z digest=sha256:53a0bdf0ad82af9a598860e69758b91d3b86244232df7890f657c0b0d46eb599

Observation e3043e66-464d-4222-ac79-7da1b6cbcf6f · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Advances in neural information processing systems , volume=

Reference 3

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source=arxiv_source observed=2026-08-02T09:43:25.178519Z digest=sha256:36fcb9b910db8e048ec1fc46a8c88814924267cba699ae6c345b9edd51ac8724

Observation 127e22f4-8866-440a-a2ba-c7c9946fc26b · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 4

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source=arxiv_source observed=2026-08-02T09:43:25.382134Z digest=sha256:cba1ccab0d4c04bcb7886d2cc0f76e124800eba75bb2678afcf406cde748c170

Observation 0db01f1b-bc40-4eef-9262-ae77c1608c9c · outbound

This paper cites Unraveling the Mystery of Scaling Laws: Part I.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Unraveling the Mystery of Scaling Laws: Part I

Reference 5

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:25.526240Z digest=sha256:5a84097ed129b49128fdd824d7d9f8148ac9045cff9dd9a2bb178d9630d901ad

Observation 8c043259-3480-4540-a9a2-e3667249cc64 · outbound

This paper cites WeLM: A Well-Read Pre-trained Language Model for Chinese.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models WeLM: A Well-Read Pre-trained Language Model for Chinese

Reference 6

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source=arxiv_source observed=2026-08-02T09:43:25.728604Z digest=sha256:612060adc4cf982320a7011b472e0573d487d738b1a669fd96671607c80b2ea2

Observation ebd22cef-75a9-4251-a4ac-9b714a1f856a · outbound

This paper cites arXiv preprint arXiv:2602.23699 , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models arXiv preprint arXiv:2602.23699 , year=

Reference 7

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source=arxiv_source observed=2026-08-02T09:43:25.912243Z digest=sha256:15e9008a058705bb8fb2e141296747efd83c124b692fa017960fe6cf8871f282

Observation 042bc42c-ad3c-4ad9-8d76-d3f17bda3dd2 · outbound

This paper cites SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation

Reference 8

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source=arxiv_source observed=2026-08-02T09:43:26.024102Z digest=sha256:9b6e5dc403e38984472b060f2e26c5b9283fdbbbf38769f6571d3225297ada35

Observation 1596ca5e-3ba8-4a52-b04c-06427d871ad3 · outbound

This paper cites 2026 , eprint=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models 2026 , eprint=

Reference 9

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source=arxiv_source observed=2026-08-02T09:43:26.142716Z digest=sha256:107d444058b8d8f5e9aea20f1bcdd4a744740d85f47e8d19afc46211e83e7dc5

Observation 0ccfb034-e89b-4b8f-9b66-66f0f7d969f7 · outbound

This paper cites arXiv preprint arXiv:2510.13831 , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models arXiv preprint arXiv:2510.13831 , year=

Reference 10

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source=arxiv_source observed=2026-08-02T09:43:26.224033Z digest=sha256:1f9e53b8bc647154b522b048484a4998a4b3e5c6a1a3f3409fd154989368fc72

Observation 6e97dca5-79f0-48f7-998b-18e8a93ac22a · outbound

This paper cites arXiv preprint arXiv:2601.18091 , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models arXiv preprint arXiv:2601.18091 , year=

Reference 11

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source=arxiv_source observed=2026-08-02T09:43:26.294378Z digest=sha256:5c84bce9a33be6f20dfdcf96df0fbab1a291ad24b7e9f66ed2d0e7f0ca0edb5d

Observation 3c76048e-9682-4062-bdb7-6d36a9a4eaa2 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 12

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source=arxiv_source observed=2026-08-02T09:43:26.471732Z digest=sha256:8074c3cba1ed892ea660a21fbd36019349921b1d9cceccd57d2127a5128fa7c6

Observation b0b8dfd5-a146-49ce-81cc-bb8576b8032d · outbound

This paper cites ICLR , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models ICLR , year=

Reference 13

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source=arxiv_source observed=2026-08-02T09:43:26.639997Z digest=sha256:81d4b93d019536b74b7cbe4df63d2fa80a84e573d7d2e19a3c39ef15da3fb1cd

Observation e6013595-575e-45da-a205-c58c26c333b0 · outbound

This paper cites Proceedings of the British Machine Vision Conference , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the British Machine Vision Conference , pages=

Reference 14

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source=arxiv_source observed=2026-08-02T09:43:26.829606Z digest=sha256:8067187d88ce0a856f08e0055608421f11ff4891481724ac60eba66ec264c2d4

Observation bc7b09fe-c9fe-4243-8a2a-60d1139f8764 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Learning Representations , year=

Reference 15

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source=arxiv_source observed=2026-08-02T09:43:26.985614Z digest=sha256:068c5f7079b83a09ef7f996144468261cdcf73f30ea919fe0c1e2509905235ff

Observation 4a7ed0f4-a97f-4d49-930b-d9d41dab1507 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Machine Learning , year=

Reference 16

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source=arxiv_source observed=2026-08-02T09:43:27.101259Z digest=sha256:0f29b5bdc473c75c74d8daf568d738789e28c787b252072d5449d44fbc3809ad

Observation 8549e813-832d-41ee-929e-6fefe83f8292 · outbound

This paper cites an unresolved cited work.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-02T09:43:27.266839Z digest=sha256:42b5e49bf72c4a8296b077c9a6c78282746c5427f411b69222fe0438237b5ccd

Observation d2b2a07b-c6b1-4ee3-9105-a9f0bbddb642 · outbound

This paper cites , author=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models , author=

Reference 18

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source=arxiv_source observed=2026-08-02T09:43:27.409829Z digest=sha256:7c64496cc53585572bd0be3563fa52e335262ac08620b6d2b1027615e70c71df

Observation 29999203-9746-4201-b9cc-ca1003a463ec · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , articleno =.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the 40th International Conference on Machine Learning , articleno =

Reference 19

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source=arxiv_source observed=2026-08-02T09:43:27.529080Z digest=sha256:5e6e7c27648c78ec8e0776676841a25ef69ec282b8ac29457117b709976f6655

Observation b668c889-e734-48b2-b3e8-1f4a7e58ef4c · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Forty-second International Conference on Machine Learning , year=

Reference 20

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source=arxiv_source observed=2026-08-02T09:43:27.713854Z digest=sha256:0ae5aa603f1ef13a97a470e0c2e0b3151f8bf3f7ed7829393542be7905c530e7

Observation 58ede723-473b-4838-a8f1-afc8011b6d59 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Croci and Marcelo Gennari do Nascimento and Torsten Hoefler and James Hensman , booktitle=

Reference 21

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source=arxiv_source observed=2026-08-02T09:43:27.881996Z digest=sha256:3b0c416e00f76bd0ea43ac4efe7f5f3126d2e92298d6a7c9da6d66a007764cd2

Observation dd3a70c4-2aea-4551-86bc-d87bfbd9aea5 · outbound

This paper cites 2024 , eprint=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models 2024 , eprint=

Reference 22

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source=arxiv_source observed=2026-08-02T09:43:28.019035Z digest=sha256:e5267c102fed774293a8f8c01fe18130e3f4c0dcc3eaf66281e695208c61ed03

Observation 78f927a0-c856-4680-b825-83c98f6aa94a · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the AAAI Conference on Artificial Intelligence, , year=

Reference 23

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source=arxiv_source observed=2026-08-02T09:43:28.195957Z digest=sha256:4a5aac69ed85b2de100730e9f2be39ab6736d727ace0e5df0d183e419ae7a90c

Observation 6dfe5407-ea41-44d5-ace1-09307670fcdb · outbound

This paper cites 2023 , eprint=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models 2023 , eprint=

Reference 24

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source=arxiv_source observed=2026-08-02T09:43:28.261632Z digest=sha256:228194c1c11b4695172e6720a360f9d058e3ecf5db27ce6238d3ec5eadf0afa2

Observation 1646ebd1-1ae6-4a5b-b7d4-774468a4a38c · outbound

This paper cites The Llama 3 Herd of Models.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models The Llama 3 Herd of Models

Reference 25

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source=arxiv_source observed=2026-08-02T09:43:28.376760Z digest=sha256:e852952898192c112c4ac368de03b899cd0cfa9a0a13007e526ed7cc74851f36

Observation 5892d8d3-c45f-44ad-a4d7-d3ef6b88d57f · outbound

This paper cites an unresolved cited work.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Unresolved cited work

Reference 26

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source=arxiv_source observed=2026-08-02T09:43:28.469075Z digest=sha256:9ffd27c98887a05d64a125e5acc30d1512a9b2b6082f013138968b3130c6edaf

Observation a0b3cb53-5a52-4214-923f-e7693d35f8fb · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Advances in neural information processing systems , volume=

Reference 27

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source=arxiv_source observed=2026-08-02T09:43:28.576853Z digest=sha256:ef492d628bc2d24d987ee63b4b231872b13f1dfd4193c6316a633c8ad9843a73

Observation 4b65452a-9bcc-4740-b51e-ecc894384e28 · outbound

This paper cites Shortened.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Shortened

Reference 28

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source=arxiv_source observed=2026-08-02T09:43:28.694269Z digest=sha256:b00fe5a02255fb191cdc9b1c22d8c2bc452731ecd15ff1faad8fddb33a826bfa

Observation 041f2045-4ed3-423a-8553-d4d95cb17469 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 29

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no resolver link, observed 2026-08-02T09:43:28.815504Z

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source=arxiv_source observed=2026-08-02T09:43:28.815504Z digest=sha256:c42e32612dc50ab5a41a8d9e789ee7fbd6e9468def65779f8df2f93930322716

Observation f5c84c13-a663-4552-a231-485f7283f305 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 30

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no resolver link, observed 2026-08-02T09:43:28.924569Z

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source=arxiv_source observed=2026-08-02T09:43:28.924569Z digest=sha256:8ec61277d7f4197c458d897034cced4a4dde1abecc5d6e33913164c3b605b7ed

Observation 700dc7c0-a3c6-47ce-b8c3-8d9a033f10d9 · outbound

This paper cites Streamlining Redundant Layers to Compress Large Language Models , volume =.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Streamlining Redundant Layers to Compress Large Language Models , volume =

Reference 31

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source=arxiv_source observed=2026-08-02T09:43:29.025721Z digest=sha256:df1810c3eedf6bb53d0436c5d60841e7ed3d8b64279d9b09a7b2a4cc479ecc8b

Observation 613e1471-687b-4e08-8434-b78cf005d531 · outbound

This paper cites BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 32

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source=arxiv_source observed=2026-08-02T09:43:29.071117Z digest=sha256:45a6f7353ccd3af973619540cb2a98b119b190280804f8f5de153f45c162c21f

Observation 3510b8c1-36e6-4537-8a7e-22f15364da6c · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 33

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no resolver link, observed 2026-08-02T09:43:29.126221Z

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source=arxiv_source observed=2026-08-02T09:43:29.126221Z digest=sha256:45d9eb9560ad0e5a14a70a78c00d6cfacd5dc13b02ca1d52cced1f310cbc1eac

Observation 53edb6a7-e767-430c-a77f-2c91a1431d2f · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 34

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source=arxiv_source observed=2026-08-02T09:43:29.204046Z digest=sha256:6bae8ae2aff76ccef72ccfa8d8c1d80ec1f2fac989e000e57b6f8f7b9f608d6b

Observation d6e1b9e6-6bb6-464f-b7d2-db4972ee112a · outbound

This paper cites Communications of the ACM , volume=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Communications of the ACM , volume=

Reference 35

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source=arxiv_source observed=2026-08-02T09:43:29.316462Z digest=sha256:617f5665bb7eac9e10b7ffb6be37145131c29749880830a34bec8ae66eeb3dc0

Observation c2a6383e-bdce-4b47-a15f-9227296f6ee7 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 36

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source=arxiv_source observed=2026-08-02T09:43:29.416679Z digest=sha256:b6e0cefe345dab30d28c2599091b646535b008f49a8321cf510fcb6e3f7dd6bc

Observation e361d7fa-ecef-4202-bf6d-0a6c0812814a · outbound

This paper cites Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering

Reference 37

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source=arxiv_source observed=2026-08-02T09:43:29.575752Z digest=sha256:e4e7d01dc338c965bb7ad515ec77cc35e0b1632b43e6eb72f34907013c62abd0

Observation 399f8a91-2bdf-4859-a20c-8c45d2efff8a · outbound

This paper cites 2024 , eprint=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models 2024 , eprint=

Reference 38

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:29.761991Z digest=sha256:9e7ee2832cb9f4d3f40de396e968de31c240d9d97a19087c4118b078dfe6e5e4

Observation a1ea209e-8613-472d-b50f-922ccf05f541 · outbound

This paper cites ICLR , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models ICLR , year=

Reference 39

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source=arxiv_source observed=2026-08-02T09:43:29.905315Z digest=sha256:d248504d07699ecf355860706ab94615e46ae28ee5a1702565cec89ec52fdc5f

Observation 4e21df06-ab3d-4bea-8a79-72b231297fef · outbound

This paper cites an unresolved cited work.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-02T09:43:30.037602Z

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source=arxiv_source observed=2026-08-02T09:43:30.037602Z digest=sha256:59af01c17cecc5766fec00b91bba29b22010647065f0eece3b9394b4fa88eb8d

Observation ee99fc4c-552d-4533-83c0-c97251bf245c · outbound

This paper cites High-Dimensional Probability: An Introduction with Applications in Data Science.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models High-Dimensional Probability: An Introduction with Applications in Data Science

Reference 41

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no resolver link, observed 2026-08-02T09:43:30.174185Z

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source=arxiv_source observed=2026-08-02T09:43:30.174185Z digest=sha256:8f1fd8dcebb05e6f32b148144a40640720eda2d2a37034239ab305243e0b356b

Observation 39c08e9c-e859-4756-bd01-0ba755a1c212 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 42

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no resolver link, observed 2026-08-02T09:43:30.295482Z

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source=arxiv_source observed=2026-08-02T09:43:30.295482Z digest=sha256:a901c38c62e65f65aa4692275fcb809e4f0abb0141b82ab8a826fb924d31d613

Observation ff0665e3-3480-4b28-9727-60e017b3f20a · outbound

This paper cites IEEE Transactions on Software Engineering , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models IEEE Transactions on Software Engineering , year=

Reference 43

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no resolver link, observed 2026-08-02T09:43:30.488844Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:30.488844Z digest=sha256:5f026183efcb3239be214b79b52f93c8de8f18bd07d2b7a0f4c394a8f1f6f1dd

Observation e31b9b5a-e4a3-44e3-bd48-399b5f9f3a9d · outbound

This paper cites Proceedings of the ACM on Software Engineering , volume=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the ACM on Software Engineering , volume=

Reference 44

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no resolver link, observed 2026-08-02T09:43:30.594490Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:30.594490Z digest=sha256:0ee7f8e9e4f3ed3445ad5066e6a78137aacae9cda61782cdc35d6aee2ece371a

Observation 64d75823-856a-4a48-bc55-eb34434c70de · outbound

This paper cites Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop , pages=

Reference 45

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no resolver link, observed 2026-08-02T09:43:30.653537Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:30.653537Z digest=sha256:de1cd122e3f59e6d69fca6a379c0bf98041694fd7cf1d759ac1994324e6f70e5

Observation 3969746d-2f68-41fe-b6bb-ef61b2cf8133 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 46

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no resolver link, observed 2026-08-02T09:43:30.742316Z

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source=arxiv_source observed=2026-08-02T09:43:30.742316Z digest=sha256:27bb104e3de2263691e887497949e08ca9e0d39adb8fd47842fe1c15078e9315

Observation 78443be1-1640-406c-98d8-5feae14b216f · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Machine Learning , pages=

Reference 47

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no resolver link, observed 2026-08-02T09:43:30.866619Z

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source=arxiv_source observed=2026-08-02T09:43:30.866619Z digest=sha256:73eef7e96ee88e502385c24a2761a97c544c7aff0361fdba98e3add6690f9fee

Observation 34e169a6-fcc1-44b4-8a2e-0117b7ae44bb · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 48

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no resolver link, observed 2026-08-02T09:43:31.001536Z

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source=arxiv_source observed=2026-08-02T09:43:31.001536Z digest=sha256:ff4fbffc49f5a2318c682a046852aa9756901fd6e08162b95fbaae565f36d1da

Observation 75b18ae8-fb8a-45f4-ac87-864522c18cc8 · outbound

This paper cites an unresolved cited work.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-02T09:43:31.093164Z

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source=arxiv_source observed=2026-08-02T09:43:31.093164Z digest=sha256:aed6b45f5c7a5a439abf8330a1df75488ee8a9fa7deb1cdcb6b1822c2fcbafcf

Observation 5e2b3bfd-3044-418d-8c51-3a70c618d712 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Learning Representations , volume=

Reference 50

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no resolver link, observed 2026-08-02T09:43:31.187108Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:31.187108Z digest=sha256:88ac53c4dda2427eb8543cdb7e46a2be31a065c92431c7bdf9adc86de29cc31d

Observation a30bab1a-46cb-414c-a0ab-e1b6446ecaaf · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Learning Representations , volume=

Reference 51

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no resolver link, observed 2026-08-02T09:43:31.293168Z

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source=arxiv_source observed=2026-08-02T09:43:31.293168Z digest=sha256:891ea01455ee4965bd7f794302e9e229e6e2f485e61158fce89255b6f24286de

Observation 51c7ada3-439c-4b2d-b958-d514a4dd9822 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 52

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no resolver link, observed 2026-08-02T09:43:31.409141Z

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source=arxiv_source observed=2026-08-02T09:43:31.409141Z digest=sha256:9dce6448348c777a1e6f104d35f5ba89c175b27f053f30b8a4bfe761a0cca9a2

Observation 1ebbabeb-2cb1-44b1-8c37-b196c4267366 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Learning Representations , volume=

Reference 53

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no resolver link, observed 2026-08-02T09:43:31.566650Z

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source=arxiv_source observed=2026-08-02T09:43:31.566650Z digest=sha256:35492c12884a99a60dc70d623103499f7243abc5110869bcd877718e0eae5b06

Observation f995f745-0513-440d-a126-37577fbe81a8 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Learning Representations , volume=

Reference 54

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no resolver link, observed 2026-08-02T09:43:31.702203Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:31.702203Z digest=sha256:0980c32fbc09ddf294ecadecd4a93b181fc231becd4e7cef179bbaad3d4092aa

Observation d5952e94-c144-4332-b5a6-ccfb7a9eb471 · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 55

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no resolver link, observed 2026-08-02T09:43:31.881595Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:31.881595Z digest=sha256:da1f55086d9f4462819d3f8891c740c51b8725d5acecba7d1d3b1a36b03b4ad7

Observation 63a00221-fdca-483e-aed4-6cd94d8d9bec · outbound

This paper cites Adaptive Rank Selections for Low-Rank Approximation of Language Models.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Adaptive Rank Selections for Low-Rank Approximation of Language Models

Reference 56

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no resolver link, observed 2026-08-02T09:43:32.007540Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:32.007540Z digest=sha256:7224beca6d65efb3aed17d280a0cf921af02a464d56a69bcc28da2474340f872

Observation b4cf804f-7660-473d-807d-78be63f57497 · outbound

This paper cites arXiv preprint arXiv:2509.25622 , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models arXiv preprint arXiv:2509.25622 , year=

Reference 57

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no resolver link, observed 2026-08-02T09:43:32.163470Z

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source=arxiv_source observed=2026-08-02T09:43:32.163470Z digest=sha256:9cf1eaaf2a5f244439c77eb16b1bd12f1bfeac2b4bcc4195c994672d16f81724

Observation d9f275fc-20b5-4e1a-8cf8-dd46e0824117 · outbound

This paper cites Findings of the Association for Computational Linguistics: EACL 2026 , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Findings of the Association for Computational Linguistics: EACL 2026 , pages=

Reference 58

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no resolver link, observed 2026-08-02T09:43:32.250083Z

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source=arxiv_source observed=2026-08-02T09:43:32.250083Z digest=sha256:cc58ceb983f30aaae1a0d65385a21d5c3da6c22cb0c27fae2c6c12e76a63c073

Observation 175ba3af-89c3-4a46-b4f3-f8bf81717e27 · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models The Fourteenth International Conference on Learning Representations , year=

Reference 59

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no resolver link, observed 2026-08-02T09:43:32.330847Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:32.330847Z digest=sha256:f38cebe7e3dc9acb3feb355fea36949541fee082626d38b4b50592c009132a13

Observation d1ca7849-d635-4fba-a970-c716ec9d1d19 · outbound

This paper cites The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter , volume =.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter , volume =

Reference 60

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no resolver link, observed 2026-08-02T09:43:32.396380Z

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source=arxiv_source observed=2026-08-02T09:43:32.396380Z digest=sha256:68ffa7493f43e41aaf6a4f04fd3914448eba36c77a27810e7a3fc2d1f0c19fe9

Observation 15a65fbe-6608-4568-a8a4-96989aeea9aa · outbound

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

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models International Conference on Learning Representations , volume=

Reference 61

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no resolver link, observed 2026-08-02T09:43:32.475146Z

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source=arxiv_source observed=2026-08-02T09:43:32.475146Z digest=sha256:ee4e2fa9249d10f541bcfb0bd38d7f98511a5f30d0f5439025a7ed43c337b423

Observation 2ec31fe6-68da-456d-98de-4f68d9d933d4 · outbound

This paper cites Workshop on Efficient Systems for Foundation Models II@ ICML2024 , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Workshop on Efficient Systems for Foundation Models II@ ICML2024 , year=

Reference 62

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no resolver link, observed 2026-08-02T09:43:32.622263Z

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source=arxiv_source observed=2026-08-02T09:43:32.622263Z digest=sha256:48a144c2c5c55a5d88e8df0c7f4df0088d75ffabb5e95d4da5248fa3f6d4fde4

Observation b849494b-db02-4abd-9e03-7e7186f3d6c8 · outbound

This paper cites Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2024 , pages=

Reference 63

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no resolver link, observed 2026-08-02T09:43:32.712626Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T09:43:32.712626Z digest=sha256:175db31a5df0f0345f70e37e9f3d8c0ef88f78a6a301a54912348ee79b0c0ad4

Observation 8e92b25a-eb3e-4968-8d2b-a1db12c1cd30 · outbound

This paper cites NeurIPS 2025 Workshop on Structured Probabilistic Inference \ & \ Generative Modeling , year=.

Beyond Single-Dimensional Compression: The Compound Sparsity Frontier of Large Language Models NeurIPS 2025 Workshop on Structured Probabilistic Inference \ & \ Generative Modeling , year=

Reference 64

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no resolver link, observed 2026-08-02T09:43:32.802071Z

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source=arxiv_source observed=2026-08-02T09:43:32.802071Z digest=sha256:8016c7ddd9c1224bfddd70411c44f78d2d686d8915a6f8e18ee35ac0847fe45d

Pith citing papers

No inbound Pith citation observations are available.