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Paper Citation Record · LEDGER

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2211.08073.

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

pith.paper-citation-record.v1
2211.08073 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:04:06.983862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:07:26.946163Z

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 60990177-d60f-418e-9f49-d3e18163154d · inbound

TrustLLM: Trustworthiness in Large Language Models cites this paper.

TrustLLM: Trustworthiness in Large Language Models GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Reference 190

Resolution
verified exact
arxiv_id, observed 2026-05-18T11:17:08.577716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T11:17:08.108565Z digest=sha256:ed4484e352428cf391dc000d300c1f3f518ab7003832019a42eeabe1c6e343ba

Observation 10379657-7d58-4459-81fd-de8febfd5de2 · inbound

RewardAnything: Generalizable Principle-Following Reward Models cites this paper.

RewardAnything: Generalizable Principle-Following Reward Models GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-07T11:04:06.983862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:06.983862Z digest=sha256:214d6b0be0b71d0fc6184cf3a7487f80518d318b668b3914430cdd77d5195b62

Observation a52aeb7b-50ad-4b9f-8a1e-d037a679a413 · inbound

ASSURE: Metamorphic Testing for AI-powered Browser Extensions cites this paper.

ASSURE: Metamorphic Testing for AI-powered Browser Extensions GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:43:30.864948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:43:30.864948Z digest=sha256:6301ba812131177cbaa30c9bf5f49cccf3333c261d3070f3b633845a01184a23

Observation 20658d2a-6780-413a-8fac-7964fb4a5fcc · inbound

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning cites this paper.

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:07:26.948303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T18:28:35.162934Z digest=sha256:e2ce526590a9bd9619da46cc8832a480d758611662d3584fc4d4796538cd1b35

Observation 7e54df66-2f73-4d7d-9f79-2f3b4f9176eb · inbound

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA cites this paper.

Find Before You Fine-Tune: A Diagnostic Study of Small LLMs for Cybersecurity QA GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T14:35:01.293131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:35:01.293131Z digest=sha256:7e52a43b2480b723aaa02b2a6d427b87eb1bccb65ad2df56e9248e0c3a015875