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Paper Citation Record · LEDGER

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.02216.

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

pith.paper-citation-record.v1
2311.02216 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:39:43.944509Z

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

1
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 fb599b4a-de1a-4af8-8cb2-b5d00353ede8 · inbound

Visual Language Models as Operator Agents in the Space Domain cites this paper.

Visual Language Models as Operator Agents in the Space Domain Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T20:39:43.944509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:39:43.944509Z digest=sha256:5b68cc45c452e17ba9373ee653fe9f42ebfc43314dcac7e108bd97781c7a2341

Observation 8aa0b6af-4d8a-425d-8c19-0e31561162e2 · inbound

Large Language Models are Good Relational Learners cites this paper.

Large Language Models are Good Relational Learners Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T10:19:10.767748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:19:10.767748Z digest=sha256:cb00d134a6379ef83f370b413c2351b48780817d5cb6c1d6ba0c974c1ef6469a

Observation 18f370d3-0160-4c38-9df5-7428b6d7db59 · inbound

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

TSVer: A Benchmark for Fact Verification Against Time-Series Evidence Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:00:34.212681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T00:56:33.806425Z digest=sha256:20c1eeb9dedee3684e6bc326fbb65cc9cf2e56e012db36e72a2b6b5e4179d688

Observation a469397f-056b-4266-ada3-dc0c143bde43 · inbound

The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models cites this paper.

The CRISTAL Method: Neurosymbolic analysis from AI-synthesized world models Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:44:18.983977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T06:40:40.776789Z digest=sha256:2f3869f11f161cecf930600a6d82c507b9b7e550bb10a82df54efc5010dc390d