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Paper Citation Record · LEDGER

Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.01749.

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

pith.paper-citation-record.v1
2310.01749 v2

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:26:53.406900Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T21:59:34.678117Z

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 d6d2443f-ccb3-45c1-b511-5c424a3a3870 · inbound

Emergent Stack Representations in Modeling Counter Languages Using Transformers cites this paper.

Emergent Stack Representations in Modeling Counter Languages Using Transformers Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T15:26:53.406900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T15:26:53.406900Z digest=sha256:8e5c9a42973e1b3c7e21aac3f524189f04d26293bda36999babe7f6dace3c697

Observation 2adb121a-76b9-4941-ba76-6c67013d4933 · inbound

A Systematic Study of Compositional Syntactic Transformer Language Models cites this paper.

A Systematic Study of Compositional Syntactic Transformer Language Models Stack Attention: Improving the Ability of Transformers to Model Hierarchical Patterns

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:59:34.822093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-06T21:59:30.997414Z digest=sha256:29bcbe60943adfd83dd83225d05ca7f8825871e15bbd4591b504664cb058505d