Paper Citation Record · LEDGER

Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.08952.

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

pith.paper-citation-record.v1
2306.08952 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:31:12.764815Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:13:53.117583Z

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 7a11d635-b503-4320-81ae-b437b10234a0 · inbound

NewsEdits 2.0: Learning the Intentions Behind Updating News cites this paper.

NewsEdits 2.0: Learning the Intentions Behind Updating News Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T10:56:49.357623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f45bd402-7092-4a4d-abf7-646b3aa3bf06 · inbound

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages cites this paper.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T18:18:29.459293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 642a10b6-5547-44ee-bf74-42a85c14a254 · inbound

DateLogicQA: Benchmarking Temporal Biases in Large Language Models cites this paper.

DateLogicQA: Benchmarking Temporal Biases in Large Language Models Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:15:34.074398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b32fbd-0873-4372-a714-8d9f503a4991 · inbound

MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents cites this paper.

MTPChat: A Multimodal Time-Aware Persona Dataset for Conversational Agents Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T17:37:38.137324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ed95c5f-2e2c-4594-9c26-e5c4c6998f4b · inbound

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 227

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:12.764815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c251b9f7-f9ca-43fe-b35f-5a38e669c87a · inbound

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents cites this paper.

USTBench: Benchmarking and Dissecting Spatiotemporal Reasoning of LLMs as Urban Agents Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:15.798080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f5e0c8-c4f8-4afa-aa57-d465439c2fc3 · inbound

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models cites this paper.

ExAnte: A Benchmark for Ex-Ante Inference in Large Language Models Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:09.966209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9afe53e4-1bf2-4f98-8350-8ca763ad0ac7 · inbound

Rule Synergy Analysis using LLMs: State of the Art and Implications cites this paper.

Rule Synergy Analysis using LLMs: State of the Art and Implications Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T16:55:30.800658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325538cb-e4b1-437b-94f5-1592e4f6cf6d · inbound

TempoBench: Reasoning Execution Without Causal Attribution Is Just Simulation cites this paper.

TempoBench: Reasoning Execution Without Causal Attribution Is Just Simulation Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T07:01:42.227326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 216b4c58-b3ed-456f-b19b-bcadb3381aac · inbound

Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA cites this paper.

Temporal Reasoning Is Not the Bottleneck: A Probabilistic Inconsistency Framework for Neuro-Symbolic QA Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:16:07.890653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c8d4a49-3c3d-47e3-b4dd-977a673d21b0 · 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 Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:13:53.119924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.