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Paper Citation Record · LEDGER

Saliency Learning: Teaching the Model Where to Pay Attention

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1902.08649.

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

pith.paper-citation-record.v1
1902.08649 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:53.156055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:31:16.102333Z

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 f8af793b-9825-424e-85a2-3c7ffab67152 · inbound

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment cites this paper.

Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Saliency Learning: Teaching the Model Where to Pay Attention

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:53.156055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:53.156055Z digest=sha256:aa62bf1c47dd9c159cc09b7285177e0c04e212d741dd108b28fa45954baf321e

Observation 332dbb03-1dc5-490b-b540-c61722235f7f · inbound

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation cites this paper.

SaliencyDecor: Enhancing Neural Network Interpretability through Feature Decorrelation Saliency Learning: Teaching the Model Where to Pay Attention

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T23:38:23.022568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-07T16:51:03.537142Z digest=sha256:07f75e1534c8f14d1d5b7f586ccd4192fb95dd302af867254a95ad3a67197288