Pith. sign in

Paper Citation Record · LEDGER

Challenges and Strategies in Cross-Cultural NLP

As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.10020.

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

pith.paper-citation-record.v1
2203.10020 v1

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 2026-07-31T06:34:12.847434+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T15:19:26.983760Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:16.764860Z

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 728cc861-239a-4375-ab19-f49a7f12a6b0 · inbound

How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language cites this paper.

How do datasets, developers, and models affect biases in a low-resourced language?: The Case of the Bengali Language Challenges and Strategies in Cross-Cultural NLP

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-19T10:52:15.201836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=pdf_text observed=2026-05-19T10:49:31.436011Z digest=sha256:abca4cc35e7ba33eacde7c33456c0fda00a85257daec91b4bcdfe875c2ecb7df

Observation c395ce0c-5895-4de9-9659-8c2cde2687ed · inbound

BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories cites this paper.

BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories Challenges and Strategies in Cross-Cultural NLP

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.660140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-05-10T06:53:20.673245Z digest=sha256:bd7325fa940474d75a2700814f31bda43b515eb0fe58de4da787f6500b539db4

Observation 0cbe45cf-ec86-4a45-aaeb-894595644a3b · inbound

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models cites this paper.

When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models Challenges and Strategies in Cross-Cultural NLP

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:36:16.766473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

source=arxiv_source observed=2026-06-28T15:19:26.983760Z digest=sha256:e4f9ec69bc5738c90b809c1cc9d7717a0e48079a0cdc27d8740f19b342b285e9