Paper Citation Record · LEDGER

Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.11270.

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

pith.paper-citation-record.v1
2306.11270 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 2026-08-21T06:32:19.484+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:30:13.021272Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:58:57.677920Z

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 4ab441bd-c0a2-4bea-be64-65678e75e439 · inbound

Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding cites this paper.

Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T13:57:29.722915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7efef2b2-85b0-4390-957a-33ec2e23c547 · inbound

Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization cites this paper.

Beyond Prompt Content: Enhancing LLM Performance via Content-Format Integrated Prompt Optimization Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T22:54:48.347005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ace7bd-d718-4556-80b4-7b331f75d834 · inbound

Leveraging LLM Inconsistency to Boost Pass@k Performance cites this paper.

Leveraging LLM Inconsistency to Boost Pass@k Performance Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:30:13.021272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99af6741-ddb7-48db-8fce-5ec9a5da0b7e · inbound

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level cites this paper.

Investigating the Robustness of Retrieval-Augmented Generation at the Query Level Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T18:55:54.909052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65904cfc-6982-4dd2-b3c3-78d6f22486b2 · inbound

PlotTwist: A Creative Plot Generation Framework with Small Language Models cites this paper.

PlotTwist: A Creative Plot Generation Framework with Small Language Models Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T18:06:40.507466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7443e39b-e8e7-4138-9734-159fa2c6c416 · inbound

Compared to What? Baselines and Metrics for Counterfactual Prompting cites this paper.

Compared to What? Baselines and Metrics for Counterfactual Prompting Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 164

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:56:27.679391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb2d9f26-1830-4dd4-af72-4cb87a97d3f6 · inbound

Towards Context-Invariant Safety Alignment for Large Language Models cites this paper.

Towards Context-Invariant Safety Alignment for Large Language Models Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:39:40.890191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e58e76aa-9eb0-4a23-ad73-5cbda748458f · inbound

Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs cites this paper.

Same Patient, Different Words, Different Diagnosis? Evaluating Semantic Stability in Clinical LLMs Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T07:23:13.274114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c103f8f5-6aaf-4a19-8e22-f6956c057a90 · inbound

Prompt Perturbation for Reliable LLM Evaluation over Comparison Graphs cites this paper.

Prompt Perturbation for Reliable LLM Evaluation over Comparison Graphs Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:58:57.679681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d28b749-88ac-4093-a4af-38eab487840a · inbound

The Powerless Noise: How Experimental Settings Shape the Reported Power of Noise cites this paper.

The Powerless Noise: How Experimental Settings Shape the Reported Power of Noise Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T01:10:52.578408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 688187b5-de1e-443f-b59d-069303e3f4ca · inbound

The Powerless Noise: How Experimental Settings Shape the Reported Power of Noise cites this paper.

The Powerless Noise: How Experimental Settings Shape the Reported Power of Noise Evaluating the Zero-shot Robustness of Instruction-tuned Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T07:04:18.645464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.