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Paper Citation Record · LEDGER

QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.17169.

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

pith.paper-citation-record.v1
2403.17169 v3

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 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:56:52.465374Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4712ba88-c4f3-42ac-b559-5a41fb93a4c7 · inbound

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking cites this paper.

FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T17:56:52.465374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:56:52.465374Z digest=sha256:06e64a3f80af267b8bcf668ea0db113052cae4c693ea20a06e191e98a49db629

Observation 369b388d-32ac-421c-b206-3fa4737a4df4 · inbound

Sample Efficient Demonstration Selection for In-Context Learning cites this paper.

Sample Efficient Demonstration Selection for In-Context Learning QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:56.385082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:14:56.385082Z digest=sha256:e365b8e86cc86373dbe1cdf04ca7a22bc714f359fb6c42392b23160d887384a8

Observation 74d69264-e4c3-481d-8f62-0f0d6cf75569 · inbound

DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification cites this paper.

DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:11:45.660892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:11:45.660892Z digest=sha256:54632697f0326adc0ee82068195172cbf8356691aecb973780b5ed465f5295ad

Observation 43545230-d291-4fe2-975c-9c808afc0ade · inbound

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence cites this paper.

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:00:34.027186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-18T00:56:33.806425Z digest=sha256:7b3bd0290f30d72f846500af5a75c2107369a8c45d7cd54674093ff9dfda7701

Observation 796e005d-8c2d-4d9c-912e-805fff6f13b2 · inbound

Symbolic Augmentation Closes a Canonical-Equivalence Blind Spot in Neural Fact-Checkers cites this paper.

Symbolic Augmentation Closes a Canonical-Equivalence Blind Spot in Neural Fact-Checkers QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T13:40:20.657087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T13:40:20.657087Z digest=sha256:365c91b42ba362b948150986042cbc9383117691adee181d1cf31e67837b78b6