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Paper Citation Record · LEDGER

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2501.12428.

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

pith.paper-citation-record.v1
2501.12428 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:35:08.431202Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 251eecdb-95d9-4c01-bf55-f0f1b49ce824 · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.675023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.366519Z digest=sha256:59f8cf5864e58e68cfe96bceaf3303418bd310221ed023a95a36f7965ab61ee9

Observation ef5aa67b-1515-43d9-9064-5449ac1ba57f · outbound

This paper cites Net2Net: Accelerating Learning via Knowledge Transfer.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Net2Net: Accelerating Learning via Knowledge Transfer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:08.370595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:08.370595Z digest=sha256:aa21062d4ee7137758b0ab14d17f664f437678b2a5ac4450e927ffc2a55d21ea

Observation 0e0dc2e7-2337-4d13-acc5-9e224de7c601 · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.663062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.374767Z digest=sha256:62fde0288c7414cb997c6de384d687ad7edc798258d03f275f2a6453d40bd2ba

Observation ef3246f8-bb75-4978-811e-6ce059b8d74c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:08.378684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:08.378684Z digest=sha256:646df7f1ff8b10cc9e80f780568308efa827daca50aafa36db4ce4088d05f531

Observation 9c46713c-7a62-4201-871e-1c5e105654e9 · outbound

This paper cites September 24, 2022.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization September 24, 2022

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:08.648831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.382798Z digest=sha256:db43e91b19abae3f57263505668c32145753ac66a752783e4f0c220bde1188c8

Observation f1bae787-de66-42cd-981c-3848d0cf3620 · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.634111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.386599Z digest=sha256:ca63e9fa134297f7322e972301a4ff64a29fcb2b513246e0b21759f699e0c7a2

Observation 4dc9dc03-fa37-4459-b244-b699232c6d2f · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.606582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.394487Z digest=sha256:842374e40facb40b132341e9379e9b33fa03d460c7b4df5a865e970a75f044eb

Observation 8ecbefbd-0ed4-4768-920b-7b9ba67ebf9a · outbound

This paper cites February 1, 2021.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization February 1, 2021

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:08.593687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.397907Z digest=sha256:1605b57823777d41f4ee9ab1b4b54c9925c26a48e68c53e20c819e8dc4154e2f

Observation f3bf0efb-e8ac-448a-8460-652a4a4aecb1 · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.580614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.401466Z digest=sha256:20c06131c1ace984315ee455fb0c257713e8f85cef1cba7fe79d114955fd5cc5

Observation e1d042bb-3b0e-4a55-90ce-ff809fa46cca · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:08.405081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:08.405081Z digest=sha256:e31e6b45404fc9c98397d9414417cb67f14e4664a35bb9bd92729a70394f14d6

Observation 0a229072-7e36-4f2f-9481-70fec129e338 · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.562569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.408595Z digest=sha256:81d2740c244b4de1c980705289f7a08a5e34a7ded92d8f8a617f488566575caf

Observation 5de79994-f9af-4968-b361-8d131e4d774f · outbound

This paper cites Well-Read Students Learn Better: On the Importance of Pre-training Compact Models.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:08.416070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:08.416070Z digest=sha256:1c98db59401326c6acf3c52456216bda86e87bedc4be22237b7907ff476e0dfc

Observation 03e7e792-14d0-448e-94c7-d8f32561930b · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.539869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.419664Z digest=sha256:1d6ac931944b2270f30543ad3fda239f43cf3317c0e9ecb82bc671cda9b518c0

Observation e6aa1496-4588-4c93-9d87-aa24eb39c193 · outbound

This paper cites SparseDNN: Fast Sparse Deep Learning Inference on CPUs.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization SparseDNN: Fast Sparse Deep Learning Inference on CPUs

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:35:08.483212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.423335Z digest=sha256:547f554ae4d72198a7e99d93365c4206fe055d3b2ac8d8a2ab169f2f5731ed03

Observation a0e9af5a-50a4-4a5e-94cb-c751e8756e13 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T17:35:08.427261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:35:08.427261Z digest=sha256:4720fb96204257140806df46bd2fb0d19ed0a7351f84bbb845c3cf427b89da1a

Observation 8c3cd726-c91c-4b52-8b0c-61127604dcff · outbound

This paper cites an unresolved cited work.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T17:35:08.529090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.431202Z digest=sha256:199d77f4dd906c0e038787cd457e442b2e5744f4e06357d9f4a07a081053b669

Observation 5b48ea53-a100-40f9-884b-e6476209ff8f · outbound

This paper cites In Proceedings of the 2018 conference on empirical methods in natural language processing.

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization In Proceedings of the 2018 conference on empirical methods in natural language processing

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:08.551528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.412609Z digest=sha256:06bae4b5b67e576821b54748b7cf5bc398802cb26bf19d5d1ca6ac5ef21451d6

Observation 2dcf2aae-7ada-4095-a55d-e11115b756a5 · outbound

This paper cites In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA).

SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization In Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms (SODA)

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T17:35:08.620326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T17:35:08.390361Z digest=sha256:b221e417ade2cffa49cda232c58c67e6261f1860f1397328df43ad2c015187e0

Pith citing papers

No inbound Pith citation observations are available.