Paper Citation Record · LEDGER

Calibrate Before Use: Improving Few-Shot Performance of Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2102.09690.

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

pith.paper-citation-record.v1
2102.09690 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:06:14.562327Z

measured 1 of 1 external citation measurements

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

72
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 43c2c1c1-123e-40e2-81a8-a558ebf1caf8 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 85

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:54:44.815033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9575c1b5-daab-40de-863c-fa385ffb3314 · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 101

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:38:38.283201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 44ec5d43-9a94-4655-9930-48e61a3a461d · inbound

Discovering Latent Knowledge in Language Models Without Supervision cites this paper.

Discovering Latent Knowledge in Language Models Without Supervision Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-15T20:34:08.272099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f115fa0c-df30-4ac7-a3c3-83b8846c5a1e · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 55

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T14:48:08.751738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22e0aee5-c82d-4e50-a060-0a527e33de59 · inbound

StaICC: Standardized Evaluation for Classification Task in In-context Learning cites this paper.

StaICC: Standardized Evaluation for Classification Task in In-context Learning Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-10T14:06:14.562327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0336a6c1-be87-4060-a2d0-22664eed745c · inbound

Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture cites this paper.

Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder Architecture Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T22:01:38.783090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c03bcd1-f052-4941-b54f-48c7515882c8 · inbound

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection cites this paper.

Few-Shot Optimization for Sensor Data Using Large Language Models: A Case Study on Fatigue Detection Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:36.967490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292d72e3-ab6c-4730-bd59-2d16bf3002d5 · inbound

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods cites this paper.

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:17:35.841319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1fcb81f-1314-4bf3-8c8f-daffe68d9d19 · inbound

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs cites this paper.

Extending Epistemic Uncertainty Beyond Parameters Would Assist in Designing Reliable LLMs Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:41:36.464492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f006f19-1cd3-4b3f-a637-6a3f3cc29bec · inbound

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications cites this paper.

Dynamic Context-Aware Prompt Recommendation for Domain-Specific AI Applications Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:44:52.166529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d87a4944-d290-4699-bcfd-913853402e8d · inbound

Fine-tuning on simulated data outperforms prompting for agent tone of voice cites this paper.

Fine-tuning on simulated data outperforms prompting for agent tone of voice Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:42:02.778812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546cbb8c-00c8-40de-8048-358cbc578a2d · inbound

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering cites this paper.

EsBBQ and CaBBQ: The Spanish and Catalan Bias Benchmarks for Question Answering Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T17:20:24.364838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 283fd66d-35df-44a8-adf0-b197b90a45af · inbound

AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models cites this paper.

AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T22:58:50.285582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 553866de-7244-428a-9558-ca78112819e6 · inbound

Characterizing Fitness Landscape Structures in Prompt Engineering cites this paper.

Characterizing Fitness Landscape Structures in Prompt Engineering Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T10:27:28.012925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 754327b0-c56c-4ab9-ae12-09ffe3fe8fdb · inbound

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting cites this paper.

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T12:45:27.038741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3caae90-762f-40e2-a475-caa43ca87d81 · inbound

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks cites this paper.

Explicit Logic Channel for Validation and Enhancement of MLLMs on Zero-Shot Tasks Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:10:02.029576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6719b4f3-b09e-4215-ad88-0d2cf0016e0e · inbound

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) cites this paper.

Consistency Analysis of Sentiment Predictions using Syntactic & Semantic Context Assessment Summarization (SSAS) Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:00:03.692322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbe87f13-4d7c-4db7-8727-a861c6df8d48 · inbound

When Context Sticks: Studying Interference in In-Context Learning cites this paper.

When Context Sticks: Studying Interference in In-Context Learning Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.464038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08df5648-85f0-49bd-ba16-739ea8688977 · inbound

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study cites this paper.

Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 50

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:26:13.413182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3518060e-cf38-468b-af03-e914ad9f9640 · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:11:06.762175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e90e6ff-17fc-448e-90be-f5211dfe758b · inbound

AMEL: Accumulated Message Effects on LLM Judgments cites this paper.

AMEL: Accumulated Message Effects on LLM Judgments Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.429057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0394aa37-285e-468d-8f6e-d7c57a26396a · inbound

The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty cites this paper.

The Tokenizer Tax Across 25 European Languages: Domain Invariance, Cross-Lingual Few-Shot Effects, and the Ukrainian Penalty Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:14:40.898485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3ffd7d1b-0f14-4730-bfe1-8b04604c36e4 · inbound

UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning cites this paper.

UA-Legal-Bench: A Benchmark for Evaluating Large Language Models on Ukrainian Legal Reasoning Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:23:24.536134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d93c0237-f6f9-4dba-9e95-256509827e67 · inbound

Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification cites this paper.

Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 219

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:27:14.909483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2cdc9b74-bbd5-45d9-9142-1971a6c52cc0 · inbound

PRIME: Evaluating Prompt Resolution Under Incompatible Instructions in LLMs cites this paper.

PRIME: Evaluating Prompt Resolution Under Incompatible Instructions in LLMs Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:49:41.704426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b49f1bd0-4cc1-4abf-a062-4043cebe7476 · inbound

(Towards) Scalable Reliable Automated Evaluation with Large Language Models cites this paper.

(Towards) Scalable Reliable Automated Evaluation with Large Language Models Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T12:20:06.584062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.