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Paper Citation Record · LEDGER

Discovering the Compositional Structure of Vector Representations with Role Learning Networks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.09113.

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

pith.paper-citation-record.v1
1910.09113 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:40:23.169104Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 01e3549d-eb6c-476d-93b2-7faddb9278d1 · inbound

How to use and interpret activation patching cites this paper.

How to use and interpret activation patching Discovering the Compositional Structure of Vector Representations with Role Learning Networks

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:34:06.929498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T20:34:06.888683Z digest=sha256:786ca0445984e760bc2daa6f7c965acb1030b7dc71e4c4eb4b22b9e11a527769

Observation 9f2d8f4d-7584-4a62-ba60-2fe588fd1759 · inbound

A polar coordinate system represents syntax in large language models cites this paper.

A polar coordinate system represents syntax in large language models Discovering the Compositional Structure of Vector Representations with Role Learning Networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T20:40:23.169104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:40:23.169104Z digest=sha256:578123e4063a264a6f022108cf1bdc8860b4c07d417b8ec51fa67adc80fa214a

Observation 2e8a8a62-19ff-44fa-b9e0-6a65b04aad98 · inbound

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations cites this paper.

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Discovering the Compositional Structure of Vector Representations with Role Learning Networks

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T12:35:44.973637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:35:44.973637Z digest=sha256:f5f7b17a8c7106e5e445cb3382284c654f1cd5fb9d11fc96a35a01527114d5a1