Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.08714.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:49:08.917814Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T20:57:23.885047Z
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 2165c1e8-b169-4f89-9a71-a5de5b3f534b · inbound
Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem cites this paper.
Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:49:08.917814Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d202dfa-e9a3-45f6-959a-ca0149ae08aa · inbound
Coordinates of Capability: A Unified MTMM-Geometric Framework for LLM Evaluation cites this paper.
Coordinates of Capability: A Unified MTMM-Geometric Framework for LLM Evaluation Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T01:46:14.426681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 18edb614-9cce-4240-b49a-7c3bdbce68ba · inbound
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination cites this paper.
DICE: Entropy-Regularized Equilibrium Selection for Stable Multi-Agent LLM Coordination Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks
Reference 120
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T20:57:23.886550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.