Paper Citation Record · LEDGER

lambeq: An Efficient High-Level Python Library for Quantum NLP

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.04236.

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

pith.paper-citation-record.v1
2110.04236 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:20:41.639894Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T23:46:19.208777Z

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 cf0cefc3-bdb5-44de-bed6-2e087dde8ec4 · inbound

Efficient Generation of Parameterised Quantum Circuits from Large Texts cites this paper.

Efficient Generation of Parameterised Quantum Circuits from Large Texts lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T20:20:41.639894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 211eca5f-b9f5-4572-89e8-5c349143b81f · inbound

Towards a Comparative Framework for Compositional AI Models cites this paper.

Towards a Comparative Framework for Compositional AI Models lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T22:13:44.004554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f34cc0b-71fd-4d7c-adc5-37e2e26233c7 · inbound

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models cites this paper.

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-05T23:46:19.214211Z

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.

Observation cc935c7d-52ed-4778-9748-81a62a2c41ed · inbound

Compositional Concept Generalization with Variational Quantum Circuits cites this paper.

Compositional Concept Generalization with Variational Quantum Circuits lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:59:29.616690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3b39a93-a9db-443b-ba06-cda5fd7769d7 · inbound

Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology cites this paper.

Quantum Compositional NLP for Arabic: Grammar, Morphology, and Word Sense in Circuit Topology lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T15:09:20.252311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b24e75a9-9a08-4e24-9d79-5cc8666458d3 · inbound

Extending the Frontiers of QNLP Beyond English: Grammar-Sensitive Pipeline for Hindi Sentiment Classification Using Compositional Quantum Models cites this paper.

Extending the Frontiers of QNLP Beyond English: Grammar-Sensitive Pipeline for Hindi Sentiment Classification Using Compositional Quantum Models lambeq: An Efficient High-Level Python Library for Quantum NLP

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T20:02:44.687832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.