Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.11418.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:05.655814Z
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 53b6eb9c-475f-40cd-9e22-12bbf5227f80 · inbound
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association cites this paper.
EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
Reference 1384
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:26:05.655814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb184264-85c0-4ed9-9c07-50005cdb103b · inbound
Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR cites this paper.
Customer-Agent: Overcoming Context Limitations in Ultra-Long Shopping Trajectories via Tool-Augmented Agents and RLVR ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning
Reference 117
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T20:11:13.372221Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.