Pith. sign in

Paper Citation Record · LEDGER

ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.04866.

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

pith.paper-citation-record.v1
2406.04866 v3

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:15:15.275605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:13:53.139323Z

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 62cde85a-f37c-4ac6-b554-5a848a051b02 · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T17:15:15.275605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:15:15.275605Z digest=sha256:d434ea20c1d7a39835e4ecf52aded73a08feb7c6d4edfcf557eb9c109036b08f

Observation ae754ac9-d66f-4605-a598-b26ef22075eb · inbound

A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts cites this paper.

A Study of Temporal Fusion Strategies for Named Entity Recognition in Historical Texts ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:13:53.141422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T04:52:30.770882Z digest=sha256:a49afac3f2c6c2f9fda4c8b4d924e69b059e0dd7097d12cfe74ab79623209eec