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Paper Citation Record · LEDGER

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 3 inbound Pith citation observations for arXiv:2510.18784.

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

pith.paper-citation-record.v1
2510.18784 v3

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T08:50:47.018279Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T14:53:22.233844Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T14:53:31.629781Z

Reference resolution

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ee611a2-ab37-4e09-b198-8b2ab7bf1bcc · outbound

This paper cites Proximal Mean-field for Neural Network Quantization.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Proximal Mean-field for Neural Network Quantization

Reference 1

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source=pdf_text observed=2026-08-04T08:50:44.363956Z digest=sha256:4501b7ca902b78aece7b4302cb0f18b9075745502c6c30b005c68cc662e34b6b

Observation 998955bc-b234-451d-960a-ae836362f91a · outbound

This paper cites Learned Step Size Quantization.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Learned Step Size Quantization

Reference 9

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source=pdf_text observed=2026-08-04T08:50:45.221727Z digest=sha256:59c68034465e883e23625ef7fa984e6213899c737560d6f6d47cc5dd185670e6

Observation 31eaea06-a44e-423c-be0e-879651ffcb3b · outbound

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

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 11

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source=pdf_text observed=2026-08-04T08:50:45.441596Z digest=sha256:f975383af12026d044906430049a471b3264f3074128ce8f1f47d49e50ec08c0

Observation c86ddb79-3a35-4bd4-95f9-61d93c112112 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Gemma: Open Models Based on Gemini Research and Technology

Reference 12

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source=pdf_text observed=2026-08-04T08:50:45.709403Z digest=sha256:fd923c1918ecc245fecc93384bb40b479d34b1fc94f4ea01db56437ebb793edc

Observation 518aca1f-c9ef-4f3c-95a5-b388ece6aa4c · outbound

This paper cites Training Compute-Optimal Large Language Models.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Training Compute-Optimal Large Language Models

Reference 13

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source=pdf_text observed=2026-08-04T08:50:45.859379Z digest=sha256:6adb38a83d014b0ed81e3bfc894826823bb653f7ec85f88b6c368b7a42f7fa83

Observation 1999f174-25df-443f-810e-d7bfc633b2c6 · outbound

This paper cites PARQ: Piecewise-Affine Regularized Quantization.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training PARQ: Piecewise-Affine Regularized Quantization

Reference 14

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source=pdf_text observed=2026-08-04T08:50:46.002929Z digest=sha256:ec9d0a8153130f7bfc56081a7c291c419679ec7075063d112389fa5041e53df9

Observation 42f5d99c-c335-4679-a1cb-8d74c8e763e0 · outbound

This paper cites Position-based Scaled Gradient for Model Quantization and Pruning.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Position-based Scaled Gradient for Model Quantization and Pruning

Reference 15

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source=pdf_text observed=2026-08-04T08:50:46.117176Z digest=sha256:ecdf2499602b5cae442b150939fc1966cd0459e4e159dce7aad8b660771d276f

Observation 55f10632-c74f-4610-a32d-ddbc3da57613 · outbound

This paper cites Scaling Laws for Precision.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Scaling Laws for Precision

Reference 16

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source=pdf_text observed=2026-08-04T08:50:46.192841Z digest=sha256:0c965e80f7e56bf38ad976b1336000d87b415217287f1f7d8d5dfe2a62ffc902

Observation 3790ec30-dff6-4be2-abd1-c1b2db1811e6 · outbound

This paper cites Lambert, N., Morrison, J., Pyatkin, V ., Huang, S., Ivison, H., Brahman, F., Miranda, L.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Lambert, N., Morrison, J., Pyatkin, V ., Huang, S., Ivison, H., Brahman, F., Miranda, L

Reference 17

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source=pdf_text observed=2026-08-04T08:50:46.378945Z digest=sha256:0dd8cc20c7ada75e9ac17e7a0c58da74314d2338c0663cdcaeb75f0c13f0bd78

Observation 064ca19a-451a-4171-b8d9-d120c93f365b · outbound

This paper cites AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks

Reference 18

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source=pdf_text observed=2026-08-04T08:50:46.535691Z digest=sha256:0b02d08e7a4b2d94f5ad1f6e44eac863cf8c6ead4fac7c1ec47b19854c859621

Observation 6f212666-c97d-494f-8214-1c6d419d67b1 · outbound

This paper cites Network Quantization with Element-wise Gradient Scaling.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Network Quantization with Element-wise Gradient Scaling

Reference 19

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source=pdf_text observed=2026-08-04T08:50:46.636537Z digest=sha256:ac44cd5c984c8ab43a36b8190545a6d4729821f097e3ac639978c5d2ed19e9e8

Observation cc3a75a6-2cab-4d53-a16e-f1d7a3c49565 · outbound

This paper cites Dynamic Model Pruning with Feedback.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Dynamic Model Pruning with Feedback

Reference 20

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source=pdf_text observed=2026-08-04T08:50:46.729246Z digest=sha256:da0a55af741bede91b8327eb65b1ae59effbfb0d5a97c2b84c874982525ed202

Observation 599260c0-a2cf-4525-b515-3e5a3bd2719c · outbound

This paper cites Overcoming Oscillations in Quantization-Aware Training.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Overcoming Oscillations in Quantization-Aware Training

Reference 21

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source=pdf_text observed=2026-08-04T08:50:46.805288Z digest=sha256:b1bf93fdd8cd23c8acd794a5320a6dd94a8ea5e6b02d4d3c1ff3eff867c88a87

Observation ade1f962-833e-4933-b17e-7ac50b3ad1df · outbound

This paper cites Unified Scaling Laws for Compressed Representations.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Unified Scaling Laws for Compressed Representations

Reference 22

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source=pdf_text observed=2026-08-04T08:50:46.865250Z digest=sha256:8955d2c943a810f6504a4efdb2fa9f07c1b1389b8901426a2a83e9f97bce2e14

Observation 47cdb6cd-7cec-4158-9a49-8e1644a1ef5e · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 2018

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source=pdf_text observed=2026-08-04T08:50:44.614742Z digest=sha256:73cba242bbcc30c632ad6217dbdc197e01cf756a54d679b04f59f0c38a06527c

Observation d820d57e-b7f0-496e-9c06-52fa78ca6095 · outbound

This paper cites Mirror Descent View for Neural Network Quantization.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Mirror Descent View for Neural Network Quantization

Reference 2019

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source=pdf_text observed=2026-08-04T08:50:44.445400Z digest=sha256:acfe7653774dc0b0a0f78f3dd5a7f6c3c00f0cce0f149d10c1aaa9bf6c65f700

Observation be85eada-c9bc-471b-9db2-4cdc1f33bcdf · outbound

This paper cites Quantized Adam with Error Feedback.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Quantized Adam with Error Feedback

Reference 2020

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source=pdf_text observed=2026-08-04T08:50:44.748754Z digest=sha256:500ebada1d0c2289ecefc14d2b9ea5a5652855fd1d07d3835c2486bb1ecc70f2

Observation 7d155645-a5c9-4815-839e-8fd6a5258d73 · outbound

This paper cites ProxQuant: Quantized Neural Networks via Proximal Operators.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training ProxQuant: Quantized Neural Networks via Proximal Operators

Reference 2021

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source=pdf_text observed=2026-08-04T08:50:44.528343Z digest=sha256:331f5ee83022e57cb77be1309d76c60f3e29541151d268d172c0750ec6f47343

Observation 6ccee1b2-44c4-4c9a-a0bb-7ee525d54b1f · outbound

This paper cites Differentiable Model Compression via Pseudo Quantization Noise.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Differentiable Model Compression via Pseudo Quantization Noise

Reference 2022

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source=pdf_text observed=2026-08-04T08:50:45.091961Z digest=sha256:497ef1b325abd61e0832b8ff7fdaefbfe389b134e3875ed326640011960f2794

Observation 92981f24-6bea-40ca-903f-47f89db50cf3 · outbound

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

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2023

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source=pdf_text observed=2026-08-04T08:50:47.018279Z digest=sha256:fdab81c02d1bef5e2476f851586ea10b33ce3d92c0ec975c6e4ea12210bc9f9b

Observation 44609c79-2123-4fdf-8003-eac4c8516db6 · outbound

This paper cites Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training

Reference 2024

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source=pdf_text observed=2026-08-04T08:50:44.869771Z digest=sha256:7e286aa6e5cc6a5004241219186e0682c3fc05c7e798ef0b6359e4a5ae5f8aa8

Observation 7328e217-fc2a-4e8a-b465-8509f9a5b919 · outbound

This paper cites The Llama 3 Herd of Models.

CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training The Llama 3 Herd of Models

Reference 2025

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source=pdf_text observed=2026-08-04T08:50:44.961063Z digest=sha256:1d1d484c125ced970acbb00335f277cffda80ff16eca17235ea0fb205f4788e4

Pith citing papers

Observation 679171c1-06d7-4e7a-8441-fe99e6fc2353 · inbound

Zero-Shot Quantization via Weight-Space Arithmetic cites this paper.

Zero-Shot Quantization via Weight-Space Arithmetic CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training

Reference 7

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arxiv_id, observed 2026-06-19T17:11:53.086525Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-13T20:07:41.196837Z digest=sha256:c469eab704ce5e2c6406d329e585c3f7603e785728fcc16cae85b74d8829787e

Observation d4bfc5ec-11e0-4893-aa30-72a15c79e29a · inbound

TinyNeRV: Compact Neural Video Representations via Capacity Scaling, Distillation, and Low-Precision Inference cites this paper.

TinyNeRV: Compact Neural Video Representations via Capacity Scaling, Distillation, and Low-Precision Inference CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training

Reference 67

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arxiv_id, observed 2026-06-19T17:11:53.086525Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T18:29:43.498730Z digest=sha256:fea83b9e8989c89bd722a22ba37e070c48ef4c97402109b3a1f5d0d90ba0e888

Observation e096898f-08db-494a-badf-593a2e10c5ee · inbound

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points cites this paper.

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points CAGE: Curvature-Aware Gradient Estimation For Accurate Quantization-Aware Training

Reference 32

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arxiv_id, observed 2026-06-19T17:11:53.086525Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T14:53:22.233844Z digest=sha256:a8a2e59536c51f6f7369805a86ce3c209914deae99347f82f37de90e7a97014e