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Paper Citation Record · LEDGER

Classes for Fast Maximum Entropy Training

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:cs/0108006.

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

pith.paper-citation-record.v1
cs/0108006 v1

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 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:21:11.948847Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T15:21:12.219532Z

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 d2eeae4a-1bba-4868-bdb7-5ecfb3c534ac · inbound

Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning cites this paper.

Softmax Dissection: Towards Understanding Intra- and Inter-class Objective for Embedding Learning Classes for Fast Maximum Entropy Training

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-14T15:21:12.227147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-14T15:21:11.948847Z digest=sha256:9ded932f8b42b3556f7a0799291c7712b4d29b75c3f12bfb13de9b80187972eb