Paper Citation Record · LEDGER

Post-Training 4-bit Quantization on Embedding Tables

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1911.02079.

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

pith.paper-citation-record.v1
1911.02079 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:28:54.354254Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T00:12:17.704538Z

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 c5c001d9-c3d2-444a-a0ca-613f8c2a3b25 · inbound

ShuffleGate: Scalable Feature Optimization for Recommender Systems via Batch-wise Sensitivity Learning cites this paper.

ShuffleGate: Scalable Feature Optimization for Recommender Systems via Batch-wise Sensitivity Learning Post-Training 4-bit Quantization on Embedding Tables

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T00:12:17.706968Z

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.

Observation 1261428b-a3dd-4b4c-ac5b-b346e9c2fda4 · inbound

HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption cites this paper.

HE-LRM: Encrypted Deep Learning Recommendation Models using Fully Homomorphic Encryption Post-Training 4-bit Quantization on Embedding Tables

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:28:54.354254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f3ae53e-08c8-4d42-964b-9f5f4f8dd128 · inbound

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems cites this paper.

CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems Post-Training 4-bit Quantization on Embedding Tables

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:04:14.046829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40d4c43a-4966-42f5-935b-3f087421ffd0 · inbound

Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model cites this paper.

Rec-AD: An Efficient Computation Framework for FDIA Detection Based on Tensor Train Decomposition and Deep Learning Recommendation Model Post-Training 4-bit Quantization on Embedding Tables

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T16:00:15.276647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.