Paper Citation Record · LEDGER

GLoRE: Evaluating Logical Reasoning of Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.09107.

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

pith.paper-citation-record.v1
2310.09107 v2

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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:42:15.314364Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:56:08.676159Z

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 b024e696-d46b-48e5-baa3-d74efc343611 · inbound

AI Benchmarks and Datasets for LLM Evaluation cites this paper.

AI Benchmarks and Datasets for LLM Evaluation GLoRE: Evaluating Logical Reasoning of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T04:49:34.337026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da48e2df-03da-4a09-986a-5ca4c76f5cad · inbound

Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework cites this paper.

Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework GLoRE: Evaluating Logical Reasoning of Large Language Models

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-16T05:42:15.314364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 551d1bea-7204-4696-b2cd-b5264d030c96 · inbound

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning cites this paper.

Novelty-based Tree-of-Thought Search for LLM Reasoning and Planning GLoRE: Evaluating Logical Reasoning of Large Language Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:56:08.678382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4baf4d7-8270-4593-bf78-9dc4b3b6c259 · inbound

Think Deep, Speak Once: Relit, A Recursive Latent Implicit Transformer Framework cites this paper.

Think Deep, Speak Once: Relit, A Recursive Latent Implicit Transformer Framework GLoRE: Evaluating Logical Reasoning of Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T00:29:44.602405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.