From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization | Paper Citation Record

Observation e2f0ad83-901e-4f82-8849-f5b7b1475d97 · outbound

This paper cites 2025 , url =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2025 , url =

Reference 1

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Observation 758fb324-4237-4244-aab5-5e9adb21bb3c · outbound

This paper cites 2024 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2024 , doi =

Reference 3

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This paper cites 2024 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2024 , doi =

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2023 , eprint =

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.753012Z

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This paper cites 2023 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2023 , eprint =

Reference 6

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Observation 2841fd25-b71c-4ac8-a49c-527ce86f18ba · outbound

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:28:40.715893Z

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Observation 81b1a168-3502-45df-a0dc-ba7a4831f600 · outbound

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization and Sablayrolles, Alexandre and Mensch, Arthur and others , journal =

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.696998Z

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Observation 12b86033-39dd-4edd-99ea-aa93132d677e · outbound

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

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Gemma 2: Improving Open Language Models at a Practical Size

Reference 9

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Observation 32c36f41-1f91-45b4-b772-1ed95b75cb9e · outbound

This paper cites 2025 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2025 , eprint =

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.678548Z

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Observation 6891e4d0-7551-423f-b0cd-956b83379274 · outbound

This paper cites TinyLlama: An Open-Source Small Language Model.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization TinyLlama: An Open-Source Small Language Model

Reference 11

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Observation 047d10a3-80b3-4ced-945c-b7d4aa9cf752 · outbound

This paper cites 2022 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2022 , eprint =

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.660407Z

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Observation 57565cc6-141c-4637-9e85-9056d66f635d · outbound

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Unresolved cited work

Reference 13

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Observation 086e5d1d-f19d-4dbf-9c29-8927b816abd7 · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , series =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Proceedings of the 37th International Conference on Machine Learning , series =

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.632010Z

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Observation 5a40ebff-72de-4e77-9b61-64a06bd385c6 · outbound

This paper cites an unresolved cited work.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:28:40.514683Z

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Observation 4ae0147d-4f7c-430e-a269-956c2daf6b7a · outbound

This paper cites 2022 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2022 , eprint =

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.315740Z

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Observation 4149edd9-4919-41b2-8081-a9606bc6c5ac · outbound

This paper cites 2023 , url =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2023 , url =

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.296592Z

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Observation 25408f2b-9643-4e82-b241-d800060a4ca5 · outbound

This paper cites 2024 , url =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2024 , url =

Reference 19

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This paper cites an unresolved cited work.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Unresolved cited work

Reference 20

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Observation 0f6b40bf-bb90-4abe-bf16-b456767975ec · outbound

This paper cites 2024 , url =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2024 , url =

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.245014Z

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Observation 494d4c3d-ce0f-4d62-b75b-4bd4299092ec · outbound

This paper cites 2023 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2023 , eprint =

Reference 22

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Observation ca14dc5b-21eb-44f6-868f-d76b0ebbeda3 · outbound

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization , booktitle =

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.205951Z

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Observation 6dac3235-7065-4cb5-9696-dd689ad9a5aa · outbound

This paper cites and Li, Bo and Cameron, Pashmina and Jaggi, Martin and Alistarh, Dan and Hoefler, Torsten and Hensman, James , booktitle =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization and Li, Bo and Cameron, Pashmina and Jaggi, Martin and Alistarh, Dan and Hoefler, Torsten and Hensman, James , booktitle =

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:36.404905Z

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Observation f5986cfe-a0dc-437d-a766-056dbd69ff8b · outbound

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Unresolved cited work

Reference 25

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This paper cites 2025 , url =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2025 , url =

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.154240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites 2023 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2023 , eprint =

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.138286Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d07371c8-864c-43ba-9d1f-b99492d6e9aa · outbound

This paper cites The Era of.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization The Era of

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.121557Z

Source-reported events for the cited work

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Observation 6c712599-3bb5-41eb-a94d-9aaf89d62f69 · outbound

This paper cites OneBit: Towards Extremely Low-bit Large Language Models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization OneBit: Towards Extremely Low-bit Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:36.431750Z

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This paper cites Transactions on Machine Learning Research , year =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Transactions on Machine Learning Research , year =

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:40.052450Z

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Observation 3015d557-23c5-4f2b-aecc-0bf6e2e3126b · outbound

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

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Advances in Neural Information Processing Systems , volume =

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.934562Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9cba316-d506-4bd9-a839-f69a26c32036 · outbound

This paper cites 2025 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2025 , eprint =

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.865170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 579e88d8-c3a6-4e4b-a455-ad5b4a7f33aa · outbound

This paper cites Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Optimization by Parallel Quasi-Quantum Annealing with Gradient-Based Sampling

Reference 33

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Observation 958428fc-0f1f-4c34-a2f3-520a1c2defbc · outbound

This paper cites 2025 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2025 , eprint =

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.795914Z

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Observation 679fc749-0686-4981-aeb6-2771f87c1665 · outbound

This paper cites 2026 , eprint =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2026 , eprint =

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.627928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 967c3b4d-b1b3-47e8-890f-cf8847eab002 · outbound

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From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Aligning

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.609661Z

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

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Journal of Machine Learning Research , volume =

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:36.476051Z

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

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization International Conference on Learning Representations , year =

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:36.481515Z

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This paper cites 2021 , version =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2021 , version =

Reference 39

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Observation 732ee6c3-5654-44f9-ade4-eaa62117f433 · outbound

This paper cites 2020 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2020 , doi =

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:36.492948Z

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This paper cites 2019 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2019 , doi =

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.551662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 051d3473-7d26-4319-9b13-2fa919fc3b2e · outbound

This paper cites Think You Have Solved Question Answering?.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Think You Have Solved Question Answering?

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.528246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab4c2d9f-076c-4c69-beff-b63747057032 · outbound

This paper cites 2021 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2021 , doi =

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.505735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation be279cd0-9e49-4646-b68d-d711b476c109 · outbound

This paper cites 2019 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2019 , doi =

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.483707Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68f24801-88a5-4fa5-aa20-db7731f7c806 · outbound

This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.461007Z

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Observation 58beda6d-daca-46f3-812c-f1f0e7f236e3 · outbound

This paper cites 2018 , doi =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2018 , doi =

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.409450Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d44f2bf8-00aa-4430-98a5-dfb4e4c17d5a · outbound

This paper cites Foundations and Trends in Machine Learning , volume =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Foundations and Trends in Machine Learning , volume =

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.249119Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d8894ee-21f3-4dbd-96f7-437f109910ca · outbound

This paper cites The Annals of Mathematical Statistics , volume =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization The Annals of Mathematical Statistics , volume =

Reference 48

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Observation 484e3287-439a-431a-aa05-2cefe764eaeb · outbound

This paper cites 2022 , url =.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization 2022 , url =

Reference 49

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Observation 0e829c53-39c4-4cab-8f26-71a4805b33e9 · outbound

This paper cites Quantization error propagation: Revisiting layer-wise post-training quantization.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Quantization error propagation: Revisiting layer-wise post-training quantization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.112990Z

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Observation 7f5889ba-3fb9-42b8-9ec9-2fc8744b7df5 · outbound

This paper cites Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Croci, Bo Li, Pashmina Cameron, Martin Jaggi, Dan Alistarh, Torsten Hoefler, and James Hensman

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.118482Z

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Observation f2338f07-2cb0-4aff-955b-3408d9e6286c · outbound

This paper cites PIQA : Reasoning about physical commonsense in natural language.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization PIQA : Reasoning about physical commonsense in natural language

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.124684Z

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Observation 378e0ff8-a349-45b3-9707-029a5d2077f8 · outbound

This paper cites Addition is almost all you need: Compressing large language models with double binary factorization.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Addition is almost all you need: Compressing large language models with double binary factorization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.154094Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f67e2387-f277-45ca-9a23-77e7505ab89b · outbound

This paper cites QBB : Quantization with binary bases for LLM s.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization QBB : Quantization with binary bases for LLM s

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.135832Z

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Observation 7f65314e-812c-4786-bc9f-20493e882fee · outbound

This paper cites an unresolved cited work.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Unresolved cited work

Reference 55

Resolution: verified exact; doi, observed 2026-08-11T14:28:37.738578Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation beb8b6ef-605e-4864-9809-a5578241bbbe · outbound

This paper cites BoolQ : Exploring the surprising difficulty of natural yes/no questions.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization BoolQ : Exploring the surprising difficulty of natural yes/no questions

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.147255Z

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Observation 1b4bb1e7-7122-4eb7-b604-961717e07bed · outbound

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

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.152553Z

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Observation 026ff1c0-3a55-49d3-a0b4-cb872fae762c · outbound

This paper cites CBQ : Cross-block quantization for large language models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization CBQ : Cross-block quantization for large language models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.133019Z

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Observation 633af7a1-36a6-453b-b267-64a5c82e37ff · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.165215Z

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Observation 79f9e6f4-169e-4923-ac6c-45c20b8dd9ca · outbound

This paper cites A framework for few-shot language model evaluation.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization A framework for few-shot language model evaluation

Reference 60

Resolution: verified exact; raw_fallback, observed 2026-08-11T14:28:38.320349Z

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Observation e490d05d-4f72-4359-a2e1-a2ef45ea185c · outbound

This paper cites Gemma 3 Technical Report.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Gemma 3 Technical Report

Reference 61

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This paper cites The Llama 3 Herd of Models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization The Llama 3 Herd of Models

Reference 62

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This paper cites Optimization by parallel quasi-quantum annealing with gradient-based sampling.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Optimization by parallel quasi-quantum annealing with gradient-based sampling

Reference 63

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Observation 5a3a73d6-d8da-4a3b-aa71-4750ce12731a · outbound

This paper cites LPCD : Unified framework from layer-wise to submodule quantization.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization LPCD : Unified framework from layer-wise to submodule quantization

Reference 64

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Observation eef57605-fa55-4ccb-a54c-0ca2af2e42fe · outbound

This paper cites More than bits: Multi-envelope double binary factorization for extreme quantization.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization More than bits: Multi-envelope double binary factorization for extreme quantization

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.198875Z

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Observation 365d202e-2250-43a2-a5a1-02b3113c83a9 · outbound

This paper cites OneComp : One-line revolution for generative AI model compression.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization OneComp : One-line revolution for generative AI model compression

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.204547Z

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Observation 5b8a3291-f820-4ef7-98c5-d05ec426f02e · outbound

This paper cites Mistral 7B.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Mistral 7B

Reference 67

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This paper cites LittleBit : Ultra low-bit quantization via latent factorization.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization LittleBit : Ultra low-bit quantization via latent factorization

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.087721Z

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Observation c66b53db-961e-42a6-81aa-4f7ede11e61d · outbound

This paper cites BRECQ : Pushing the limit of post-training quantization by block reconstruction.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization BRECQ : Pushing the limit of post-training quantization by block reconstruction

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.067543Z

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Observation e4f64dae-557e-432b-98cd-1a2f62b949c2 · outbound

This paper cites AWQ : Activation-aware weight quantization for on-device LLM compression and acceleration.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization AWQ : Activation-aware weight quantization for on-device LLM compression and acceleration

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.044703Z

Source-reported events for the cited work

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Observation eebd7a10-32bd-4e0c-89f7-c893bd0ae390 · outbound

This paper cites LoaQ : Layer-wise output approximation quantization.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization LoaQ : Layer-wise output approximation quantization

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.257533Z

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Observation 537d9e05-d350-40b6-ba2d-6afebb35bf7f · outbound

This paper cites QLLM : Accurate and efficient low-bitwidth quantization for large language models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization QLLM : Accurate and efficient low-bitwidth quantization for large language models

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:39.024647Z

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Observation 91b15ee4-ce22-4c57-aaf8-f18159279112 · outbound

This paper cites LLM-QAT : Data-free quantization aware training for large language models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization LLM-QAT : Data-free quantization aware training for large language models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.349054Z

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Observation 2fc1c914-7dcc-4432-b2e4-6a5a4bae9308 · outbound

This paper cites SpinQuant : LLM quantization with learned rotations.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization SpinQuant : LLM quantization with learned rotations

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.388050Z

Source-reported events for the cited work

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Observation f0827982-7b13-4254-8e96-bdc22f809400 · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.470324Z

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Observation bb198453-b19f-4733-9325-937ca3485f08 · outbound

This paper cites Llama 3.2 model card.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Llama 3.2 model card

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:38.992623Z

Source-reported events for the cited work

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Observation fbda2096-9368-4785-90bb-277b7c108b0c · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.520140Z

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Observation e1ff8d55-1c31-4913-bc5c-22d56598aa53 · outbound

This paper cites WinoGrande : An adversarial winograd schema challenge at scale.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization WinoGrande : An adversarial winograd schema challenge at scale

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.526732Z

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Observation f4e9f42c-59db-4e9e-977f-b3fa7b3ab106 · outbound

This paper cites OmniQuant : Omnidirectionally calibrated quantization for large language models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization OmniQuant : Omnidirectionally calibrated quantization for large language models

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:38.974313Z

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Observation 56a69497-2c3c-45be-b005-f99c74cf3ada · outbound

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

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.539574Z

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Observation 5f5b2fe6-84dc-4215-9289-c178f7f8bb93 · outbound

This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.545297Z

Source-reported events for the cited work

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Observation 825af4b6-b165-43de-8295-b4714d9e4b87 · outbound

This paper cites SmoothQuant : Accurate and efficient post-training quantization for large language models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization SmoothQuant : Accurate and efficient post-training quantization for large language models

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:28:38.913754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8b27a001-0e00-45d0-a916-d531c62d4535 · outbound

This paper cites OneBit : Towards extremely low-bit large language models.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization OneBit : Towards extremely low-bit large language models

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.559023Z

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Observation edf47bcb-d5cc-481d-ac95-6ee11d86cd38 · outbound

This paper cites Qwen3 Technical Report.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization Qwen3 Technical Report

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.567292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 879a5db8-3193-42dd-8c5b-303f1a12f211 · outbound

This paper cites HellaSwag : Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791--4800.

From Sweep to Seam: Interleaved Cross-Block Post-Training Quantization HellaSwag : Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791--4800

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T14:28:37.575786Z

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