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Paper Citation Record · LEDGER

Comparing Test Sets with Item Response Theory

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.00840.

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

pith.paper-citation-record.v1
2106.00840 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 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:40:24.455373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:00:41.495691Z

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 343cb7bb-915e-49a8-9ab6-0fe700ab8fd4 · inbound

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs cites this paper.

AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs Comparing Test Sets with Item Response Theory

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-07T13:40:24.455373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:40:24.455373Z digest=sha256:9e64c3b4cc2832485bd03060dd562cae8ff3d9ff255bf3ae2f2d2b41b16b2f10

Observation 537cf1e3-2aa2-46a5-b60b-6bcf23db09b7 · inbound

Position: AI Evaluations Should be Grounded on a Theory of Capability cites this paper.

Position: AI Evaluations Should be Grounded on a Theory of Capability Comparing Test Sets with Item Response Theory

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-21T22:00:41.497970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-21T21:57:55.834632Z digest=sha256:491ae03156582d451fd6ced31b7b05cf343980bbba280ce5d220c067cdefbdba

Observation e04f4ff7-5667-4d7a-8c7d-0c665156f737 · inbound

GIM: Evaluating models via tasks that integrate multiple cognitive domains cites this paper.

GIM: Evaluating models via tasks that integrate multiple cognitive domains Comparing Test Sets with Item Response Theory

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:28:12.137136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T10:25:35.620798Z digest=sha256:c48684141902a7fbd933f78b15df4f2bcae66f96932d026dbcae4f80b567367f