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Paper Citation Record · LEDGER

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.03532.

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

pith.paper-citation-record.v1
2010.03532 v2

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:51.516077Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:23:56.571654Z

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 2cffc3f0-5379-4b31-9312-d2577b244163 · inbound

Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks cites this paper.

Arbiters of Ambivalence: Challenges of Using LLMs in No-Consensus Tasks What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Reference 6

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T13:23:56.621840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T13:23:51.516077Z digest=sha256:77a28a925fdea43992c257c9f3a0c3862ec56ec6e1286760d6c7fa17226062a2

Observation a62b3ff3-0730-4ca9-b3bd-4c799791db92 · inbound

DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning cites this paper.

DeMeVa at LeWiDi-2025: Modeling Perspectives with In-Context Learning and Label Distribution Learning What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-04T18:58:37.386108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T18:58:37.386108Z digest=sha256:8b7090792c7f0d418793f98054e5f71037a6ae165e6ea1a72df2c7b2a49f20fe

Observation b554356f-8554-4b15-bcb0-01fd81e3d507 · inbound

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins cites this paper.

Exposure is not manifestation: measurement target and output resolution jointly determine which behavioural-faithfulness evaluator wins What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T07:44:04.837677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:44:04.837677Z digest=sha256:acb8f109851f3a4851039dda1230a1a2dd7b3ff3d842d1eb1d40136c0bbb519b