Paper Citation Record · LEDGER

NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.20650.

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

pith.paper-citation-record.v1
2410.20650 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:18:51.447148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T07:45:29.229067Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c5cb69f3-2a45-4c8c-a276-0dcbc753bf1a · inbound

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference cites this paper.

Huff-LLM: End-to-End Lossless Compression for Efficient LLM Inference NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T17:18:51.447148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7f802d2-1356-4c3c-b566-b92d52f02a8f · inbound

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking cites this paper.

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:24.124343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d01755f6-112e-43d7-ba2e-0552ac3dbdbe · inbound

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling cites this paper.

ZipMoE: Efficient On-Device MoE Serving via Lossless Compression and Cache-Affinity Scheduling NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:45:29.232988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9378b614-90c0-49a7-8f23-605dda2ee45d · inbound

UCCL-Zip: Lossless Compression Supercharged GPU Communication cites this paper.

UCCL-Zip: Lossless Compression Supercharged GPU Communication NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:41:37.149321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c7d173a-9662-4077-91b5-607f13790b52 · inbound

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training cites this paper.

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:36:30.660630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 58226f75-2db8-4e39-a2fd-3460920d3b47 · inbound

The Thermodynamic Costs of Simple Linear Regression cites this paper.

The Thermodynamic Costs of Simple Linear Regression NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:03:23.209733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce395b26-780c-4223-921c-b93eea05ab65 · inbound

Lossless Tensor Compression as Program Synthesis cites this paper.

Lossless Tensor Compression as Program Synthesis NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T13:34:08.176469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.