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Paper Citation Record · LEDGER

Trace norm regularization and faster inference for embedded speech recognition RNNs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1710.09026.

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

pith.paper-citation-record.v1
1710.09026 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T01:58:58.772489Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:06:42.149064Z

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 55842603-aaad-4a09-a932-7fefaa0edf51 · inbound

SLORR: Simple and Efficient In-Training Low-Rank Regularization cites this paper.

SLORR: Simple and Efficient In-Training Low-Rank Regularization Trace norm regularization and faster inference for embedded speech recognition RNNs

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-07-10T02:06:42.150348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-10T01:58:58.772489Z digest=sha256:d49f7b9f47741a03e47e5aabb279054333254c3aea6b0cbb7bd1bbcf0e4caadc