Paper Citation Record · LEDGER

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling

As of 11 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2506.12000.

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

pith.paper-citation-record.v1
2506.12000 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:05:46.188015Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

17 of 17 outbound references displayed

verified exact3
verified fuzzy6
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 035c1a2d-a2c1-4aa6-8912-974a0eb29c44 · outbound

This paper cites Data Compression Using Adaptive Coding and Partial String Matching,.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Data Compression Using Adaptive Coding and Partial String Matching,

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T01:05:47.687591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0d334266-a9a4-4441-98fa-f93c7bdd4386 · outbound

This paper cites Knoll, CMIX, 2014.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Knoll, CMIX, 2014

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:05:48.543481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c5e2f084-4c22-4a25-9d34-321e75c725fe · outbound

This paper cites Knoll, Tensorflow -compress, 2016.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Knoll, Tensorflow -compress, 2016

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:05:48.523997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 63cf1ef1-0885-4f33-a6c2-a1c29bbfdc14 · outbound

This paper cites DZip: improved general-purpose loss less compression based on novel neural network modeling,.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling DZip: improved general-purpose loss less compression based on novel neural network modeling,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:45.097078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2565a4dd-6bc2-449f-bd1b-b7c218bad9c0 · outbound

This paper cites A Fast Transformer-based General-Purpose Lossless Compressor.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling A Fast Transformer-based General-Purpose Lossless Compressor

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:05:47.219772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cd7c71aa-5fda-4aed-ab06-db8a4c82fb58 · outbound

This paper cites On Efficient Constructions of Checkpoints.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling On Efficient Constructions of Checkpoints

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:05:47.087015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58f198ea-885a-4f45-b86d-868ee23b987e · outbound

This paper cites Delta-dnn: efficiently compressing deep neural networks via exploiting floats similarity.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Delta-dnn: efficiently compressing deep neural networks via exploiting floats similarity

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:05:48.502290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9cd5dd9d-e71f-477b-86b4-4dbd5310882d · outbound

This paper cites Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning,.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning,

Reference 8

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T01:05:46.853492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 13a21908-c12f-44ae-a53e-702b44c57092 · outbound

This paper cites Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T01:05:46.534529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f52bc883-1b97-421e-bc4f-0cf90db7760e · outbound

This paper cites ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling ExCP: Extreme LLM Checkpoint Compression via Weight-Momentum Joint Shrinking

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:45.570929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b47cae0a-6b44-4840-8832-0b875c595d2d · outbound

This paper cites Long short-term memory.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Long short-term memory

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:05:48.349067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 59e21a81-0246-431f-8a3b-60bdd864365b · outbound

This paper cites Arithmetic coding for data compression,.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Arithmetic coding for data compression,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:05:48.093715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7efe319f-f031-469e-b799-3efc6ef05a7b · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:45.951921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df32d14d-39b1-4731-b4ce-9ca23dd319cc · outbound

This paper cites Pythia: a suite for analyzing large language models across training and scaling.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Pythia: a suite for analyzing large language models across training and scaling

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T01:05:47.894618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cac6f51e-300a-4c84-938d-1ddf2af009e6 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:46.126601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682c3060-8b80-4d22-a302-12e60e8ee896 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Adam: A Method for Stochastic Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:46.188015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 180d7a64-c4f4-4b80-8cbb-6e8a41569c1d · outbound

This paper cites an unresolved cited work.

An Efficient Compression of Deep Neural Network Checkpoints Based on Prediction and Context Modeling Unresolved cited work

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T01:05:45.742568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.