Paper Citation Record · LEDGER

Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.08714.

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

pith.paper-citation-record.v1
2305.08714 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:03:22.539505Z

measured 0 of 1 external citation measurements

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 727b169a-47e8-49b8-964d-8bbdb9b750ea · inbound

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model cites this paper.

Investigating the Scaling Effect of Instruction Templates for Training Multimodal Language Model Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T18:03:22.539505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeb33b53-977e-46bf-a740-25c226e4498e · inbound

Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech cites this paper.

Linguistic Features Extracted by GPT-4 Improve Alzheimer's Disease Detection based on Spontaneous Speech Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T11:11:01.360339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7025144f-8e29-4ce9-87a6-e3271d0bbef9 · inbound

LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models cites this paper.

LF-Steering: Latent Feature Activation Steering for Enhancing Semantic Consistency in Large Language Models Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T18:47:09.807764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ffcf75a-7c9b-4ae4-a324-fe136dad8dc4 · inbound

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach cites this paper.

Enhancing Semantic Consistency of Large Language Models through Model Editing: An Interpretability-Oriented Approach Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T18:47:26.152677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.