Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.05785.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:04:32.567351Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:26:47.552445Z
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 ce779c80-d409-44c0-962f-f311d58b36d6 · inbound
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression cites this paper.
FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:04:32.567351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3df2a5c0-4bc8-4ef1-9259-67d5ae0dca44 · inbound
MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs cites this paper.
MoEcho: Exploiting Side-Channel Attacks to Compromise User Privacy in Mixture-of-Experts LLMs NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:11:08.898782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90fc7e30-b001-46c0-ade7-7abf2f0b5a7e · inbound
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data cites this paper.
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data NeurLZ: An Online Neural Learning-Based Method to Enhance Scientific Lossy Compression
Reference 20
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T12:26:47.561396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.