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Paper Citation Record · LEDGER

ExplainaBoard: An Explainable Leaderboard for NLP

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.06387.

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

pith.paper-citation-record.v1
2104.06387 v2

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:03:04.489160Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T15:06:57.482106Z

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 a8581b50-af95-414a-b618-56fd6cda3769 · inbound

Comateformer: Combined Attention Transformer for Semantic Sentence Matching cites this paper.

Comateformer: Combined Attention Transformer for Semantic Sentence Matching ExplainaBoard: An Explainable Leaderboard for NLP

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T19:03:04.489160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:03:04.489160Z digest=sha256:cf92e5a8bf79163dfa598733d5cd9d4ec1982b17417ba696e9a26dd54789ca32

Observation c509233e-65dc-496a-8ebd-1f0d0023ed99 · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation ExplainaBoard: An Explainable Leaderboard for NLP

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-08T15:06:57.487779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-08T15:06:55.051780Z digest=sha256:c6aeb5cdb64eecefaa9e964573eb5822daf8287db6be3d898fa634d0c36c0386