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Paper Citation Record · LEDGER

Rethinking Self-Attention: Towards Interpretability in Neural Parsing

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1911.03875.

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

pith.paper-citation-record.v1
1911.03875 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:10:44.349412Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:39:12.234447Z

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 dbc2fdf1-294a-405e-b6bc-92b1d73ae60d · inbound

Causal Graphical Models for Vision-Language Compositional Understanding cites this paper.

Causal Graphical Models for Vision-Language Compositional Understanding Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T17:10:44.349412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:10:44.349412Z digest=sha256:caacd6c1863a1c3ef93362081940156ff2611019e70e51827e7be27544f18e6a

Observation 17c4307d-a460-412f-bda6-6b8bf80c940e · inbound

Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations cites this paper.

Your Attention Matters: to Improve Model Robustness to Noise and Spurious Correlations Rethinking Self-Attention: Towards Interpretability in Neural Parsing

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:39:12.320656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T13:39:09.973995Z digest=sha256:4cb80a5e03652f06e4b2fcd473b22a1b1a9786592714a182d1b5975c35b3c411