Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2003.07082.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:41.693007Z
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 fdb0146f-b305-44df-8301-19bf05e65c3a · inbound
HuggingFace's Transformers: State-of-the-art Natural Language Processing cites this paper.
HuggingFace's Transformers: State-of-the-art Natural Language Processing Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 177
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T14:53:59.813577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 213d288c-62ad-464c-a708-530c35a4b8d7 · inbound
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.
FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:46:41.693007Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00d34718-879b-4a9b-b75d-12643fe64e54 · inbound
Verified Language Processing with Hybrid Explainability: A Technical Report cites this paper.
Verified Language Processing with Hybrid Explainability: A Technical Report Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:40:08.478976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b54bd189-56c8-4223-9302-983b7954b2b0 · inbound
RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records cites this paper.
RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:57:02.892601Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 7024cd76-2a0d-4eac-b776-c3a1ede5c2a1 · inbound
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation cites this paper.
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:59:15.577307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f64dd79-dd13-4aa9-8e38-938f8c73e991 · inbound
Enhancing User-Feedback Driven Requirements Prioritization cites this paper.
Enhancing User-Feedback Driven Requirements Prioritization Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:41:28.138682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 039b5968-8ca1-4652-b6f8-7ea7fb0fd891 · inbound
Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection cites this paper.
Evaluating the Evaluator: Problems with SemEval-2020 Task 1 for Lexical Semantic Change Detection Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T15:40:34.592246Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation e5847d92-bfea-4090-bc17-bd8a2c8cf169 · inbound
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text cites this paper.
The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:06:28.254265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 012520e9-91ea-4232-beec-d057fdc20fd4 · inbound
Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies cites this paper.
Methods, Data, and Conceptual Change: Reflections from Two Quantitative Diachronic Case Studies Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T19:29:05.193593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 17681080-84a8-4349-b2b1-504d8fb574c6 · inbound
Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation cites this paper.
Parser agreement and disagreement in L2 Korean UD: Implications for human-in-the-loop annotation Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:11:12.577452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 809ffd61-7647-4e45-97f4-c41ef4457d6d · inbound
Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt cites this paper.
Linguistic Productivity in Large Language Models: Models Coerce, but do not Preempt Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 190
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T23:36:22.766274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation b637cf9b-bd2d-4aa8-b13d-efa47a49cfea · inbound
Do It Right! A Methodology for Successful NLP System Development cites this paper.
Do It Right! A Methodology for Successful NLP System Development Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T04:25:29.271082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc4fe401-1259-49af-bddd-8f2ad0c1c56f · inbound
Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution cites this paper.
Explaining GAND: A Resource on Gender-Ambiguous Natural Data & Contrastive Attribution Stanza: A Python Natural Language Processing Toolkit for Many Human Languages
Reference 78
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:50:22.053224Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.