Paper Citation Record · LEDGER

Characterizing Intrinsic Compositionality in Transformers with Tree Projections

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2211.01288.

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

pith.paper-citation-record.v1
2211.01288 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:35:44.906686Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:35:46.903756Z

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 1960e7bc-605c-4262-a22c-205598134ebe · inbound

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

Compositional Generalization Across Distributional Shifts with Sparse Tree Operations Characterizing Intrinsic Compositionality in Transformers with Tree Projections

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-11T12:35:44.906686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a5cef10-d278-4cc6-bc9d-07fefec90099 · inbound

Position: A Theory of Deep Learning Must Include Compositional Sparsity cites this paper.

Position: A Theory of Deep Learning Must Include Compositional Sparsity Characterizing Intrinsic Compositionality in Transformers with Tree Projections

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:46.153360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79339cde-805c-424f-b061-74c468863a24 · inbound

Rethinking Memorization Measures and their Implications in Large Language Models cites this paper.

Rethinking Memorization Measures and their Implications in Large Language Models Characterizing Intrinsic Compositionality in Transformers with Tree Projections

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:32.722899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afa853fa-c54c-436e-9d4c-59850e4a5418 · inbound

Compositional Sparsity as an Inductive Bias for Neural Architecture Design cites this paper.

Compositional Sparsity as an Inductive Bias for Neural Architecture Design Characterizing Intrinsic Compositionality in Transformers with Tree Projections

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:35:46.905494Z

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.