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Paper Citation Record · LEDGER

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models

As of 18 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2608.10010.

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

pith.paper-citation-record.v1
2608.10010 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:46:37.300723Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved27
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 10e2ee89-1914-411a-ad17-806aad9f0ad0 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 1

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Observation d5cce687-6930-405a-a913-8b2f1421b854 · outbound

This paper cites Selected RTL and final routed netlists pass 64 seeded variable-K matrices spanning 1,010 compute cycles and 1,024 checked outputs per datatype.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Selected RTL and final routed netlists pass 64 seeded variable-K matrices spanning 1,010 compute cycles and 1,024 checked outputs per datatype

Reference 2

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Observation 036afe61-4a38-4d00-9949-9f1462ad26f4 · outbound

This paper cites (pt) ↑ BF16 FP8 CurveFP8CurveFP7 Runtime format 0 -0.25 -0.24 -0.45 0 -0.08 -0.07 -0.02 0 -0.03 -0.13 +0.01 (c) Five-shot Δacc.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models (pt) ↑ BF16 FP8 CurveFP8CurveFP7 Runtime format 0 -0.25 -0.24 -0.45 0 -0.08 -0.07 -0.02 0 -0.03 -0.13 +0.01 (c) Five-shot Δacc

Reference 3

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source=pdf_text observed=2026-08-14T04:46:37.295736Z digest=sha256:bdb343eda6dae66b54b61209b0daf9536ae2998e4bbee07938be02a877fcf68f

Observation d9f5e11f-6cbc-4451-8e5d-f48617ef3d78 · outbound

This paper cites Training DNNs with Hybrid Block Floating Point.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Training DNNs with Hybrid Block Floating Point

Reference 7

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source=pdf_text observed=2026-08-14T04:46:37.190997Z digest=sha256:0c50e169dc6fa56d159eef6768e9bf26e2684964e3620b7d085170e31c6e74a4

Observation 28057a20-e9b0-47c0-b185-8cdd0e6a342b · outbound

This paper cites The Llama 3 Herd of Models.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models The Llama 3 Herd of Models

Reference 9

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source=pdf_text observed=2026-08-14T04:46:37.201493Z digest=sha256:a4eea463e6b6d165d00b145ef913712c18d782b2166034f10ad2f40d6de172e1

Observation 8315f84c-dce1-49ba-b72c-48417054328c · outbound

This paper cites URLhttps://doi.org/10.1109/MOCAST.2018.8376572.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URLhttps://doi.org/10.1109/MOCAST.2018.8376572

Reference 10

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source=pdf_text observed=2026-08-14T04:46:37.206127Z digest=sha256:bebe607cd71eb15f0608d10887d0ed6e9cbbcd9d7a59d614365b8da5abfe9220

Observation ed02d173-df1a-43e4-adf5-d35b9ebb4b11 · outbound

This paper cites Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks

Reference 11

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source=pdf_text observed=2026-08-14T04:46:37.211466Z digest=sha256:69df8aedb7209fe02caada0236c5b73250a4ea149bd06728a89ac63a3babbc53

Observation 5205b6ad-33b8-495d-b768-4c8cf5f06b37 · outbound

This paper cites SpinQuant: LLM quantization with learned rotations.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models SpinQuant: LLM quantization with learned rotations

Reference 12

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source=pdf_text observed=2026-08-14T04:46:37.216025Z digest=sha256:59a5b2a04119edeb953c7c07b8713347d12a0fb25d81c76f9bb4cb3be126c4d8

Observation 5bbb7873-0bef-4ae0-8f98-06b8a56555fd · outbound

This paper cites FP8 Formats for Deep Learning.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models FP8 Formats for Deep Learning

Reference 14

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source=pdf_text observed=2026-08-14T04:46:37.226666Z digest=sha256:5a632be193332ffa9db3ceb8b8426a59c0310625d6d306641e50b5cd4b488d5f

Observation 412730b3-769d-4ac9-8aa6-9f782f289fb4 · outbound

This paper cites Convolutional Neural Networks using Logarithmic Data Representation.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Convolutional Neural Networks using Logarithmic Data Representation

Reference 15

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source=pdf_text observed=2026-08-14T04:46:37.231118Z digest=sha256:c6d057d9e68107a25dfdf2631df1d8f4ec125b0daa554133d7be93f8bfde4328

Observation d7dbc028-2df9-425f-937d-470d25d9e360 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 16

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source=pdf_text observed=2026-08-14T04:46:37.236612Z digest=sha256:988a60dc0646a9648ff3fc6c0f659babe0f8b6186c2d6d7497e68767b9603f5b

Observation 06e7f19b-995c-4d2b-a4e1-60f0375b69c5 · outbound

This paper cites The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale

Reference 17

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source=pdf_text observed=2026-08-14T04:46:37.241269Z digest=sha256:5337fe334717a392f07959b94a358a0c7d4ddc036d4276b690b7013de62b2d5f

Observation d743f1df-8ce5-427e-802b-41fe267b5fcc · outbound

This paper cites Microscaling Data Formats for Deep Learning.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Microscaling Data Formats for Deep Learning

Reference 20

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Observation 526180e9-42a6-40fe-a0b7-e61f46c14df8 · outbound

This paper cites WinoGrande: An Adversarial Winograd Schema Challenge at Scale.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models WinoGrande: An Adversarial Winograd Schema Challenge at Scale

Reference 21

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source=pdf_text observed=2026-08-14T04:46:37.259915Z digest=sha256:76717f0d6b783884a612e0fc1af5a8344e6120f53b6519a78f6cb7944ddcd2ea

Observation 22a2cade-f984-4644-94b3-2e87c2a29d23 · outbound

This paper cites URL https: //doi.org/10.1609/aaai.v40i48.42293.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URL https: //doi.org/10.1609/aaai.v40i48.42293

Reference 22

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source=pdf_text observed=2026-08-14T04:46:37.264818Z digest=sha256:742b0c971e23de1c5fec8792ff36f82874d3879d6a689bfead183fb5bcb6c91e

Observation eec66952-835c-4e20-b451-e21b61d886f5 · outbound

This paper cites URL https://doi.org/ 10.1162/tacl_a_00321.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URL https://doi.org/ 10.1162/tacl_a_00321

Reference 23

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source=pdf_text observed=2026-08-14T04:46:37.269128Z digest=sha256:fff663f94166cb621088257ca96ba5083de32dbe149ea5254ad12e2321dbccc3

Observation e873cd27-a9a6-4789-b93e-e0153c050988 · outbound

This paper cites Qwen3 Technical Report.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Qwen3 Technical Report

Reference 24

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source=pdf_text observed=2026-08-14T04:46:37.273334Z digest=sha256:851bab64c24adcc9122dfbb353b0d3307bd1ad1aa0412f4728d03a75c2f121a2

Observation 791cb949-22f2-47f1-849c-92dd3574cc00 · outbound

This paper cites Qwen3 Technical Report.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Qwen3 Technical Report

Reference 25

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source=pdf_text observed=2026-08-14T04:46:37.277948Z digest=sha256:a0781a2782aedfbbfcdd8aeb8f4f0c453d6ea4dc464f2c0e9d5f3fa7917d0c00

Observation c2063005-ad31-413f-b65b-956c51d19ebe · outbound

This paper cites URLhttps://aclanthology.org/P19-1472/.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URLhttps://aclanthology.org/P19-1472/

Reference 26

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source=pdf_text observed=2026-08-14T04:46:37.282315Z digest=sha256:082d9adc2ab4c76c09cd03dbb6ffa68e230babf1e3ad388e0b81a6abdbf098ac

Observation 51e6cc75-0a7d-48b8-bc7a-9349b902d5d0 · outbound

This paper cites URLhttps://doi.org/10.1109/TC.2022.3202747.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URLhttps://doi.org/10.1109/TC.2022.3202747

Reference 27

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source=pdf_text observed=2026-08-14T04:46:37.286683Z digest=sha256:2e4e5c28e2c32873affc227d44d002c453db20ee0253b026fd03d528bb8a3288

Observation cbf796e2-675f-4d36-b664-e6d9a6f43f49 · outbound

This paper cites Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Reference 28

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source=pdf_text observed=2026-08-14T04:46:37.290952Z digest=sha256:fd0399ad5e6a8052ee6cd5b654cb60c8e6b0c975e9a693ec4dd54dd64b152b96

Observation 55eb8d99-84c5-453f-b9ab-1210eb24fafd · outbound

This paper cites Pointer Sentinel Mixture Models.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Pointer Sentinel Mixture Models

Reference 2016

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Observation 107cbc88-f130-4cc8-9830-85dd6f251e59 · outbound

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

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 2018

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Observation caf3f10f-be23-42b1-8df8-cf197e8de774 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Compressive Transformers for Long-Range Sequence Modelling

Reference 2019

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source=pdf_text observed=2026-08-14T04:46:37.250148Z digest=sha256:d8346c054c8633d2907b8e84b1b52beb5d482dab38ed44f5491ec6a8f88f85c3

Observation 779deedb-42af-43ed-abe7-69c66117d70a · outbound

This paper cites PIQA: Reasoning about Physical Commonsense in Natural Language.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models PIQA: Reasoning about Physical Commonsense in Natural Language

Reference 2020

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source=pdf_text observed=2026-08-14T04:46:37.175845Z digest=sha256:e66365cff8f390028b3e86faedc02597025ccb77b190f9da9697e75f6c65d650

Observation d66cdbd4-c46c-4704-ab13-83b128e5ee52 · outbound

This paper cites URL https: //doi.org/10.1109/ASAP54787.2022.00021.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URL https: //doi.org/10.1109/ASAP54787.2022.00021

Reference 2022

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source=pdf_text observed=2026-08-14T04:46:37.181016Z digest=sha256:9f86e063034c280dadebf8f411e03c0e2d4fb6bf1241a11e4d86984b4b11414d

Observation 1206fc27-5435-434b-86af-ac784adc5847 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 2023

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source=pdf_text observed=2026-08-14T04:46:37.170760Z digest=sha256:595c095f8448765638a59fa19a35db285f94475122bf3688e458abaf9ca843bb

Observation 8b341889-94c7-46f5-9d7a-9c070de25e75 · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 2024

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source=pdf_text observed=2026-08-14T04:46:37.166028Z digest=sha256:8f1e10178785cb319af73148e7ad2023fdf92da3da46dc9a440726db4c6e187c

Observation 34241865-94a2-4ab3-a7ce-43332e154824 · outbound

This paper cites URLhttps://arxiv.org/abs/2502.05376.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models URLhttps://arxiv.org/abs/2502.05376

Reference 2025

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source=pdf_text observed=2026-08-14T04:46:37.195770Z digest=sha256:74f02ddaf43770ad1845fcd34939835d64238b71c2343c08d2f7d6f4f58d28b7

Observation 237a3d41-e958-4c62-b7a8-2daba1708777 · outbound

This paper cites Compressive Transformers for Long-Range Sequence Modelling.

CurveFP: Co-Designing Numerical Representation and Product Arithmetic for Language Models Compressive Transformers for Long-Range Sequence Modelling

Reference 2026

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source=pdf_text observed=2026-08-14T04:46:37.245603Z digest=sha256:2bb4a80cc1b516bee8615cd674abc005f6766005cac1df262f07be92090f884e

Pith citing papers

No inbound Pith citation observations are available.