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Paper Citation Record · LEDGER

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2410.19313.

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

pith.paper-citation-record.v1
2410.19313 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:30:56.503153Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8115b9a9-7792-413d-b96d-27780fc30645 · inbound

NVILA: Efficient Frontier Visual Language Models cites this paper.

NVILA: Efficient Frontier Visual Language Models COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:42:43.059995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T07:42:22.478647Z digest=sha256:81da8bce37badc3b982495ac701027060c83118ec421195f3658fe9051ecd251

Observation 22feb461-c743-4065-9d5a-f9a8fd9ae6d4 · inbound

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache cites this paper.

QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-09T04:28:03.982110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:28:03.982110Z digest=sha256:d16e036108c054ee1b4b3bf8ab35146d720c4c5a53668815deab5f7b3149f78c

Observation 965e9f76-6c30-4992-9ff2-f16fbfe66ba9 · inbound

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities cites this paper.

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 133

Resolution
unresolved
no resolver link, observed 2026-08-16T04:30:56.503153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:30:56.503153Z digest=sha256:6c71bdb71e5472d68783fddbccd4cdef38f09ae8a85ce09506dfb49fa10b92ac

Observation ae18e053-1288-43ce-9fe4-c4ec994b9676 · inbound

A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models cites this paper.

A Comprehensive FP8 Training Recipe for Reasoning-Enhanced Language Models COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T14:51:30.014305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:51:30.014305Z digest=sha256:1d16cd860c055991ea779646b41a05b32d29fc4755aa4c55ff7493342196086a

Observation e6ac3ddb-d5c8-4b35-b2db-f0680ec91eda · inbound

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs cites this paper.

ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:58:03.091387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-14T21:56:38.684104Z digest=sha256:4b0a0297de0f69beb2a8ead9aeb7674b1d1afce5023c565c89ad7df7856707ce

Observation 84afb5f3-ad75-4d36-ada2-9b4b3a653b68 · inbound

QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch cites this paper.

QaRL: Rollout-Aligned Quantization-Aware RL for Fast and Stable Training under Training--Inference Mismatch COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:21:00.429504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:12:42.034381Z digest=sha256:a693b7ceff6899cec8276a49c6269446c3ca4d60288fe8279fb84a74b76cd577

Observation 3710d773-1d26-40f5-a2f5-30b59854eef0 · inbound

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training cites this paper.

GNMR: Runtime Stability Control for Low-Precision Large Language Model Training COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:42:36.056596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T18:53:47.187437Z digest=sha256:3ccff1e263e7c25acdb0a14f605032c5db95056e63c553a36a4ef0c1e40384c7

Observation c97efd93-6248-4447-8d7c-0cb980062dcc · inbound

Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention cites this paper.

Full-Stack FP4: Stable LLM Pretraining with Quantized Projections, Optimizers, and Attention COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T19:17:59.044982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:17:59.044982Z digest=sha256:5e065b275a9bee4f520b3445fca4dbd09f1d74270a94f47447b8f932537decab

Observation ddf31843-2c99-487e-b4f2-f2f4ac1398c0 · inbound

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining cites this paper.

GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-09T09:16:06.523377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-09T09:15:12.214083Z digest=sha256:e8ed2f2fac9bb44be43ef95f3f465a1c873a21403573a5283ea5b8d7617ae1ef

Observation 297c5e19-5a94-411c-bff7-402741f89e0d · inbound

LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Models cites this paper.

LaCache: Exact Caching and Precision-Adaptive Inference for Diffusion Large Language Models COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T01:01:52.724389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T01:01:52.724389Z digest=sha256:fd1a1ed36aa341751d88a978726da8d5ab42c355fda9f820c4238a2c65087a85

Observation 62aec842-e882-4a1a-8c21-e011467ea282 · inbound

Stable FP4 Training via Transposition-Invariant Block Quantization cites this paper.

Stable FP4 Training via Transposition-Invariant Block Quantization COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T05:04:00.397076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T05:04:00.397076Z digest=sha256:ea30d5f1a320058b4d46ce20676b1a625e6105b40ffe0aceba92b3c71d16ee4f