Pith. sign in

Paper Citation Record · LEDGER

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

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T15:09:20.252311Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 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.

source=pdf_text observed=2026-08-02T15:09:20.252311Z digest=sha256:c01ec21ba40f76df400fb5e122d1ff4934d1f94e9ce3fc69593307e92cf92764

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.

source=pdf_text observed=2026-08-01T20:02:44.687832Z digest=sha256:d4e023b9dbee8ba13784dff4552120432ab1f8d577777012a6ac883d2b96f389