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Paper Citation Record · LEDGER

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.14622.

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

pith.paper-citation-record.v1
2607.14622 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:37:48.933399Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

33 of 33 outbound references displayed

  • verified exact0
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  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1d712b9b-32b6-4fc1-85ef-b333019c96e0 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-02T01:37:46.766614Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:46.766614Z digest=sha256:78d6a8e51016bbead4a29fba82843e8d38674504d64fd7ec1b2295184d8785cf

Observation 54d070f6-65e7-423d-8285-87286850c5d6 · outbound

This paper cites Reinhardt, Ali Saidi, Arkaprava Basu, Joel Hestness, Derek R.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Reinhardt, Ali Saidi, Arkaprava Basu, Joel Hestness, Derek R

Reference 2

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no resolver link, observed 2026-08-02T01:37:46.815008Z

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source=pdf_text observed=2026-08-02T01:37:46.815008Z digest=sha256:fc0788463c938af533562ead62b50c2fa7f58a5ccb10183496772a9019d5e7ea

Observation 259bf201-80c0-476e-899d-e9594bea13e0 · outbound

This paper cites Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Layer-Wise Quantization: A Pragmatic and Effective Method for Quantizing LLMs Beyond Integer Bit-Levels

Reference 3

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no resolver link, observed 2026-08-02T01:37:46.946786Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:46.946786Z digest=sha256:c7b8e904610c25d365e2d8deea72068ad514fc63ca79b5cc56b6fcdfe8ff6411

Observation f3a501d1-8509-4026-9efa-36b26dd24b70 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T01:37:47.114833Z digest=sha256:b32be202908875b145d90d26039429c08733925ee1e59a01a6d91d55621a667d

Observation 9a44ea4f-aabc-4cb9-9815-8929b5a6c037 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-02T01:37:47.183677Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.183677Z digest=sha256:1c159ddfc03b472237f729886ed4194925699b62ffc4c23531f66dd7ab425684

Observation c0f57189-cecb-468d-a4fc-06c51b67d633 · outbound

This paper cites A Survey of Quantization Methods for Efficient Neural Network Inference.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM A Survey of Quantization Methods for Efficient Neural Network Inference

Reference 6

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source=pdf_text observed=2026-08-02T01:37:47.281341Z digest=sha256:7307cef7fef7fd1047e475f6660874c5badcbbdc940af70058c0739070c7a566

Observation 7d51660f-0131-4fe6-92d0-3bf2436ead8a · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-02T01:37:47.459273Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.459273Z digest=sha256:c4fb355667e70baf502d4350bc449ba529f2aea49d61c656bff14bf6a6a6da70

Observation bdd10255-c904-4e08-9f1e-ade2b2da8b9e · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-02T01:37:47.618437Z

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source=pdf_text observed=2026-08-02T01:37:47.618437Z digest=sha256:c8f476640c6f8ffd789dae1093bdc43e9de9914d4a36adca9cd0415940be8b7d

Observation d841361d-3f6d-4e69-aaf4-644d55afa90b · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 9

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source=pdf_text observed=2026-08-02T01:37:47.752478Z digest=sha256:8eba5f11057ff22730523124c5ae6a5c29acdfe6c2e9607a32c648e184c98778

Observation 72c73a93-9d4a-4239-9a79-612ba354258e · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-02T01:37:47.829537Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.829537Z digest=sha256:0bbf85873e795d5aa4b10cbaaa1eaf406b38923594c8cdd2ff862efd3439e5a0

Observation 67b59971-2370-4a65-bbb0-683cac7c29a6 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-02T01:37:47.836516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.836516Z digest=sha256:d837ee66072743b509e7397515fc4887be851598b0d11bca729f4caafffa369c

Observation 6ca445a2-00e9-42c5-92ff-775b89eebadd · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 12

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unresolved
no resolver link, observed 2026-08-02T01:37:47.868360Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.868360Z digest=sha256:5c2fc3b36344bfd33e6a4871cd95ffcd0caf550ca2af59e4e3a5cfe9c0fb0c7c

Observation 17a2409e-6bc1-478a-a65b-2871480b4905 · outbound

This paper cites SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM SIMD Everywhere Optimization from ARM NEON to RISC-V Vector Extensions

Reference 13

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no resolver link, observed 2026-08-02T01:37:47.927080Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.927080Z digest=sha256:498047ecbd7c52afbdbcccb6f0789764432de478de2ab9c8bc05d31ce628cbac

Observation 02047dfe-8c9e-4178-b0c4-89031448f7a4 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-02T01:37:47.973583Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.973583Z digest=sha256:fa77d821ec71d8e1ca4311dd96c7dd358e1ef0f5680a69bcc3ba3dec96fbb976

Observation 34f09c14-9dbe-4a45-96ee-eff4c8c6a91e · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-02T01:37:48.062777Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.062777Z digest=sha256:f86fd7c7f7fb64a8c4ea95f0a93aafc99157b33bd062d31394992043ed73c006

Observation e3f2f635-d5ee-499d-907b-89726d9faf45 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 16

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unresolved
no resolver link, observed 2026-08-02T01:37:48.099517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.099517Z digest=sha256:5cce8e5d9e40454a7dea236f6ad0e64995f6e4b1d75d2646fd36cfec4d233205

Observation 8d11f5f5-86df-4457-82c0-1d0595d4c5e1 · outbound

This paper cites Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices

Reference 17

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no resolver link, observed 2026-08-02T01:37:48.016628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.016628Z digest=sha256:e620ab873dffd040904a79c87d31f5159a5fd84db1ac874fd5bf04546ed1040e

Observation 5a9ccfd9-bb04-4007-b331-76a0bd448f8b · outbound

This paper cites Fouda, Pramod Khargonekar, and Fadi Kurdahi.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Fouda, Pramod Khargonekar, and Fadi Kurdahi

Reference 18

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no resolver link, observed 2026-08-02T01:37:48.342823Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.342823Z digest=sha256:90e65856da7979f6366e1f48e282373d2edbf4a57bc2c29c25a61a837fbfc34a

Observation a2b57f28-02d8-4957-aa9c-0fe6e7838eb3 · outbound

This paper cites VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM VAQF: Fully Automatic Software-Hardware Co-Design Framework for Low-Bit Vision Transformer

Reference 19

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no resolver link, observed 2026-08-02T01:37:48.483123Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.483123Z digest=sha256:b2b49c79056ba2686355272048c05c29b1890e224610eb39635494354052e3a5

Observation 4a826e29-f319-4a4d-a144-49b51f409bfa · outbound

This paper cites arXiv:2511.13676 [cs.AR] https://arxiv.org/ abs/2511.13676.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM arXiv:2511.13676 [cs.AR] https://arxiv.org/ abs/2511.13676

Reference 20

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source=pdf_text observed=2026-08-02T01:37:48.197503Z digest=sha256:adbdb2cdc837a38d0ddf9b97576f82fec22991a44348b0e19f5e63aad34d68f5

Observation bb6ca43f-3fdb-4242-b064-8b7a4fe587bc · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-02T01:37:48.259548Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.259548Z digest=sha256:2251dff37d9239b36105da0873171bcc95e418d4b4080498b6b6b9c6e930b910

Observation d96670b3-b7cc-4e2d-9496-08ba4143b373 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-02T01:37:48.643069Z digest=sha256:d9471351f4ce1387546bd044a65566bdb6b2d2afc516f232f22805dc8bfefeaf

Observation 682c689d-00ec-4d23-8869-faedfba2e3f4 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-02T01:37:48.699225Z

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source=pdf_text observed=2026-08-02T01:37:48.699225Z digest=sha256:e5bff64db9eacf2135e7ab1a0637043d9af0ee6bf87db61a0d8ec28eada3efc7

Observation 9de56e18-b129-48b3-8143-76f7bfa50859 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-02T01:37:48.758118Z

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source=pdf_text observed=2026-08-02T01:37:48.758118Z digest=sha256:671167181e9b34f7ebb0e2b0839b232a9358a7d44ad3289b1e5f3f332798d3e4

Observation beb76603-dba9-42fe-bd43-be87344e897b · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-02T01:37:48.874386Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.874386Z digest=sha256:fca29c7a99de5b8fec74e5ad1c8a214d82dbe09cb7d511cee0e1c9cbbb3ad955

Observation 994d6475-6180-442b-8d20-37997f46b20a · outbound

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

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 26

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no resolver link, observed 2026-08-02T01:37:48.534738Z

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source=pdf_text observed=2026-08-02T01:37:48.534738Z digest=sha256:eacfc00779ca43adee01504db383609becfda9707be1ddbb8b97587a4d281ad2

Observation 5cd4965c-cb7d-4954-a065-8676ce9e294b · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-02T01:37:48.592391Z

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source=pdf_text observed=2026-08-02T01:37:48.592391Z digest=sha256:83b72d54746b2592357a391485b00ef7e787b5e3f4834a18ae8db7d05d7b9f87

Observation 25d3d16c-61c0-4b08-9921-eb58a30b79b8 · outbound

This paper cites InProceedings of the 38th International Conference on Neural Information Processing Systems(Vancouver, BC, Canada)(NIPS ’24).

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM InProceedings of the 38th International Conference on Neural Information Processing Systems(Vancouver, BC, Canada)(NIPS ’24)

Reference 31

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no resolver link, observed 2026-08-02T01:37:48.815933Z

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source=pdf_text observed=2026-08-02T01:37:48.815933Z digest=sha256:d9e29cf6479f18c0ae96e5f7663922ac394253c3119b5c66ccc59a7e5fa9a131

Observation 5303782f-066c-47c4-b692-1b2819e1c7f1 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-02T01:37:48.933399Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:48.933399Z digest=sha256:e4855a1484283627d709ae9c02664593c6ba31d92eaffefb6e7b4c686414785d

Observation f6d673ec-5d8a-4ef2-a969-6052823aeda6 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence46, 12 (2024), 7793–.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM IEEE Transactions on Pattern Analysis and Machine Intelligence46, 12 (2024), 7793–

Reference 2024

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no resolver link, observed 2026-08-02T01:37:48.389285Z

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source=pdf_text observed=2026-08-02T01:37:48.389285Z digest=sha256:ac3d8a51f97cbc1da677329b046b961748d8ce2555bc43d4a1934596711f59c5

Observation 780c8f23-5590-48c1-9526-0a2732c0f757 · outbound

This paper cites InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP).

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM InProceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Reference 2025

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no resolver link, observed 2026-08-02T01:37:47.891643Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:37:47.891643Z digest=sha256:e16b775d76f0e67d1ea328ccef28fdf37594e8f3bf7b0deaea4f94382158a135

Observation 6dce62e4-5e09-4533-bd86-e197d0582948 · outbound

This paper cites arXiv:2601.16536 [cs.DC] https://arxiv.org/abs/2601.16536.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM arXiv:2601.16536 [cs.DC] https://arxiv.org/abs/2601.16536

Reference 2026

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no resolver link, observed 2026-08-02T01:37:47.556504Z

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source=pdf_text observed=2026-08-02T01:37:47.556504Z digest=sha256:135d51fd6d527494d3d5bd4422714774dc7a0b5c8fc66c93882aeda8c1bdc0dd

Observation 6e80fbc5-7db8-4b87-892c-697551995e08 · outbound

This paper cites an unresolved cited work.

ExaGEMM: Exploration Framework for CPU-Driven ML Inference via Associative In-Register Computing for Low-Bit GEMM Unresolved cited work

Reference 7812

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no resolver link, observed 2026-08-02T01:37:48.440702Z

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source=pdf_text observed=2026-08-02T01:37:48.440702Z digest=sha256:a26e9af95f81f9049f80ccf43e991b0ef53e831dee76d2e15b30c70d18c37813

Pith citing papers

No inbound Pith citation observations are available.