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Paper Citation Record · LEDGER

Efficient Few-Shot Learning Without Prompts

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2209.11055.

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

pith.paper-citation-record.v1
2209.11055 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:03:39.528206Z

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

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External citation measurements

101
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 1c7fe4ad-22ed-4d23-aa5f-6e4840c8bf4d · inbound

Adaptable Embeddings Network (AEN) cites this paper.

Adaptable Embeddings Network (AEN) Efficient Few-Shot Learning Without Prompts

Reference 24

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no resolver link, observed 2026-08-12T15:57:59.281370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:57:59.281370Z digest=sha256:e879743a91624f1210426e4eab63d9820c8025f39d9a975fffa118310fe160a9

Observation 9d7f335a-77db-4c0c-976d-7e24fec9d34a · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference Efficient Few-Shot Learning Without Prompts

Reference 190

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arxiv_id, observed 2026-05-20T17:46:46.965362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-20T17:46:46.845424Z digest=sha256:df6479807d2d13aab2ac80f97e2f7677ba5d1e29d9ea56c2eed5efe1bbebd8b4

Observation 82c9777d-2a8c-4533-bc1f-48d1fb7c1e51 · inbound

AI Across Borders: Exploring Perceptions and Interactions in Higher Education cites this paper.

AI Across Borders: Exploring Perceptions and Interactions in Higher Education Efficient Few-Shot Learning Without Prompts

Reference 9

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no resolver link, observed 2026-08-11T15:17:54.623829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:17:54.623829Z digest=sha256:0797afdd624fa5efef26d05174ee1410318a6ec0dacab964792a585d6ae15730

Observation 97f35814-ff72-498b-9368-bf566a8b37bd · inbound

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration cites this paper.

Automatic Labelling with Open-source LLMs using Dynamic Label Schema Integration Efficient Few-Shot Learning Without Prompts

Reference 42

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no resolver link, observed 2026-08-10T17:20:32.471867Z

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source=pdf_text observed=2026-08-10T17:20:32.471867Z digest=sha256:adf887484409793be716d168733e5f99b79a8e28ffa560d7e1d97aa42fdd2177

Observation ad0559a2-13fd-429a-a924-ff92c298b041 · inbound

Options-Aware Dense Retrieval for Multiple-Choice query Answering cites this paper.

Options-Aware Dense Retrieval for Multiple-Choice query Answering Efficient Few-Shot Learning Without Prompts

Reference 14

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no resolver link, observed 2026-08-10T13:48:27.099355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:48:27.099355Z digest=sha256:db9acb3738e6a152a68bf9194eb31956481939eba22bad8e5a9933a1e06183ce

Observation 58eed37b-9901-4e5b-a04d-f415da209a75 · inbound

Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence cites this paper.

Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence Efficient Few-Shot Learning Without Prompts

Reference 24

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no resolver link, observed 2026-08-16T12:03:39.528206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:03:39.528206Z digest=sha256:e2ff93b9c6a3842deb9dfb3901cf8e34e888bb397581c98c3cbb05c1751c1ea2

Observation 6175211a-f707-43d8-ad96-e7c3b83a0760 · inbound

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution cites this paper.

Divide (Text) and Conquer (Sentiment): Improved Sentiment Classification by Constituent Conflict Resolution Efficient Few-Shot Learning Without Prompts

Reference 15

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no resolver link, observed 2026-08-15T23:03:13.001825Z

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source=arxiv_source observed=2026-08-15T23:03:13.001825Z digest=sha256:ecffe77e287ef3d1ca36d3680d74300a80793eff308a16be1ef0a63123b6835b

Observation 81a4cfb5-6edb-41b7-a1ee-8c9f2f1cc0fb · inbound

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.

ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Efficient Few-Shot Learning Without Prompts

Reference 40

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no resolver link, observed 2026-08-07T14:48:04.612158Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:48:04.612158Z digest=sha256:f1e5d00f20f96e38bbd2099c04514fe48be4d08b8724e3fc03061d0e8143fe23

Observation fbfcf097-954d-4d6b-a474-5cdb1c35ae79 · inbound

Unveiling Dual Quality in Product Reviews: An NLP-Based Approach cites this paper.

Unveiling Dual Quality in Product Reviews: An NLP-Based Approach Efficient Few-Shot Learning Without Prompts

Reference 40

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no resolver link, observed 2026-08-07T14:22:24.068661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:22:24.068661Z digest=sha256:6dd3cdbea86a336a7a1d33c4d3aeb662293fdc8fc601b0cc1d40868c666af032

Observation aadfd0b1-2428-4dfa-a44b-926680327b6e · inbound

Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification cites this paper.

Evaluating the Performance and Efficiency of Sentence-BERT for Code Comment Classification Efficient Few-Shot Learning Without Prompts

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:12:42.922777Z digest=sha256:598fe02992f8e75a9e0b7acd785222b8d7fb8ed12f09e2c0fa1136e876fc6b2f

Observation f80c6234-75a5-4f17-8ed7-f292b106d702 · inbound

On The Impact of Merge Request Deviations on Code Review Practices cites this paper.

On The Impact of Merge Request Deviations on Code Review Practices Efficient Few-Shot Learning Without Prompts

Reference 44

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no resolver link, observed 2026-08-07T05:04:19.618270Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:19.618270Z digest=sha256:120fbbc37bbefee2b8ddc7b2e19d5796e41f1e8b85a82a74501b07d7fa64dd44

Observation 978ef08b-7efb-47d5-b30d-8d0ac701d596 · inbound

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat cites this paper.

Self-Anchored Attention Model for Sample-Efficient Classification of Prosocial Text Chat Efficient Few-Shot Learning Without Prompts

Reference 70

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no resolver link, observed 2026-08-07T04:56:55.411606Z

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source=pdf_text observed=2026-08-07T04:56:55.411606Z digest=sha256:dbaa37322167efd6b0e8a003546891eac3935ee5c1464c1db46c77224ea39904

Observation e3648440-0420-432f-8a9f-24dc695e9a86 · inbound

The Narrative Construction of Generative AI Efficacy by the Media: A Case Study of the Role of ChatGPT in Higher Education cites this paper.

The Narrative Construction of Generative AI Efficacy by the Media: A Case Study of the Role of ChatGPT in Higher Education Efficient Few-Shot Learning Without Prompts

Reference 2020

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no resolver link, observed 2026-08-06T18:03:54.940500Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:03:54.940500Z digest=sha256:e73f5a16dfceb6a1ddd2d35d89edded9ada3fc65ba91b93bf3920ab4c69c6255

Observation 9e533ad9-00ec-4dea-9be1-2de6295b1220 · inbound

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety cites this paper.

ConspirED: A Dataset for Cognitive Traits of Conspiracy Theories and Large Language Model Safety Efficient Few-Shot Learning Without Prompts

Reference 62

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source=arxiv_source observed=2026-08-05T15:09:05.963638Z digest=sha256:f825a91597a73887ed8f6e8495be83fa6b4117cad9cc805e23b50a5934bc80ca

Observation a0c62731-83bc-4780-8e52-00421f36e5f0 · inbound

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning cites this paper.

Few-Shot Query Intent Detection via Relation-Aware Prompt Learning Efficient Few-Shot Learning Without Prompts

Reference 44

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no resolver link, observed 2026-08-05T05:21:30.867771Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:21:30.867771Z digest=sha256:e1d36ff924f2b41db5f3481def85f8c2a6899ef5c5a097bd2361f180becb5a44

Observation 2155b975-3303-40d7-b96b-003197b3556c · inbound

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models cites this paper.

Predicting Intermittent Job Failure Categories for Diagnosis Using Few-Shot Fine-Tuned Language Models Efficient Few-Shot Learning Without Prompts

Reference 39

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arxiv_id, observed 2026-05-16T09:17:40.200103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T09:17:09.823817Z digest=sha256:08022c20c4c6401301ef5f88ce8db46a7d5c03188e52faa388035642e0b654f5

Observation e675bdb8-a079-4f4c-b88a-1557aacd1fdd · inbound

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification cites this paper.

LoRA-MME: Multi-Model Ensemble of LoRA-Tuned Encoders for Code Comment Classification Efficient Few-Shot Learning Without Prompts

Reference 13

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arxiv_id, observed 2026-05-15T17:06:19.249032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T17:03:04.705363Z digest=sha256:b7d9c15ffc3696e89e751ec70175b6ba988e92db9fe0b7b091f2e0246855914e

Observation 84a90ada-7032-413d-a2fc-41a1e3f0de69 · inbound

Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities cites this paper.

Characterizing Resource Sharing Practices on Underground Internet Forum Synthetic Non-Consensual Intimate Image Content Creation Communities Efficient Few-Shot Learning Without Prompts

Reference 49

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arxiv_id, observed 2026-05-11T09:01:00.921663Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T16:18:03.390618Z digest=sha256:fff006e0d77dc6834340c2f31c993bb7949ce93b16f5e5448461be91bab92ac7

Observation 76f86620-4f54-4088-8ef5-96d83e02e508 · inbound

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection cites this paper.

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection Efficient Few-Shot Learning Without Prompts

Reference 21

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arxiv_id, observed 2026-05-10T13:45:27.721801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T13:44:05.443209Z digest=sha256:ae9384d79108d55b8c444433bbd9c037e339e2c29b6754dcbb1950b31b25dca3

Observation 81a12d27-4f00-4baa-b85c-9923a1db45a4 · inbound

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection cites this paper.

Cross-Domain Query Translation for Network Troubleshooting: A Multi-Agent LLM Framework with Privacy Preservation and Self-Reflection Efficient Few-Shot Learning Without Prompts

Reference 21

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arxiv_id, observed 2026-05-21T01:09:20.491892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-21T01:06:00.831147Z digest=sha256:a0272e1ca9518316004977c4a4d77ecc9f43ff391cc274e94e91d52894f4f5e4

Observation 9ba4c14c-2651-4baf-a3f1-d63cf7439336 · inbound

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach cites this paper.

Domain-Specific Query Understanding for Automotive Applications: A Modular and Scalable Approach Efficient Few-Shot Learning Without Prompts

Reference 4

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arxiv_id, observed 2026-05-16T13:37:56.645797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-16T13:37:13.043968Z digest=sha256:dee0608997de9aba32fcb8d220359905a4404530fbe6b5b33d311786778dab80

Observation 79a84a26-aa25-43aa-b932-7e339ed4d55e · inbound

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models cites this paper.

Measuring Accuracy and Energy-to-Solution of Quantum Fine-Tuning of Foundational AI Models Efficient Few-Shot Learning Without Prompts

Reference 24

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arxiv_id, observed 2026-05-09T06:40:40.398227Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T18:14:03.049005Z digest=sha256:ac8572d2164cee1d30b7e9ded91c90a68daae80c51499ff059d5502b6fe03966

Observation 38da6f7d-ece7-4d56-be14-76b47c31ac6c · inbound

Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News cites this paper.

Retrieving Floods without Floodlights: Topic Models as Binary Classifiers for Extreme Climate Events in German News Efficient Few-Shot Learning Without Prompts

Reference 24

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arxiv_id, observed 2026-05-12T10:56:30.287165Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T16:56:18.930883Z digest=sha256:87b8158154ea7e209451d5b7366fa240966cb57d093fab7ea6d93f922b7db5e7

Observation 8ee93365-5e02-4353-988c-b7114f1c1674 · inbound

Quantum Parity Representations: Learnable Basis Discovery, Encoders, and Shadow Deployment cites this paper.

Quantum Parity Representations: Learnable Basis Discovery, Encoders, and Shadow Deployment Efficient Few-Shot Learning Without Prompts

Reference 6

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arxiv_id, observed 2026-05-13T02:32:06.633566Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T02:28:34.197942Z digest=sha256:3d4ed4a76f30a6a2cf5a9c11736dcf0e463da37f815b7ed8f5a2cabce432a041

Observation 42170a91-2101-46e7-9f0b-0d9100c39aea · inbound

Much of Geospatial Web Search Is Beyond Traditional GIS cites this paper.

Much of Geospatial Web Search Is Beyond Traditional GIS Efficient Few-Shot Learning Without Prompts

Reference 26

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arxiv_id, observed 2026-05-13T01:22:00.841815Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T01:19:26.399524Z digest=sha256:d41461ba853d98a67c42c1707117ec3b93cae06c4871fd9f5e7eaa845e2cd2f1

Observation e33e246f-554d-42fb-9ea6-db346c716bfb · inbound

Much of Geospatial Web Search Is Beyond Traditional GIS cites this paper.

Much of Geospatial Web Search Is Beyond Traditional GIS Efficient Few-Shot Learning Without Prompts

Reference 27

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arxiv_id, observed 2026-06-30T22:05:05.184196Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-30T21:58:45.277252Z digest=sha256:f0c9521dce58015b760ba6ada76f11a44fb20a28fb8e85a0561b972dbad6e6d8

Observation 0212eb99-06df-4bce-a854-ced2d675c533 · inbound

CR4T: Rewrite-Based Guardrails for Adolescent LLM Safety cites this paper.

CR4T: Rewrite-Based Guardrails for Adolescent LLM Safety Efficient Few-Shot Learning Without Prompts

Reference 57

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arxiv_id, observed 2026-05-22T09:24:45.883483Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T09:21:59.200523Z digest=sha256:bc26f13112bdee9a53be815de4fae80e2a2b8ea656bf27a58f181297e8dc4e5d

Observation 8713978c-3c7f-4b9a-bdd1-09b471688843 · inbound

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content cites this paper.

Opir: Efficient Multi-Task Safety Classification for Toxicity, Jailbreaks, Hate Speech, and Harmful Content Efficient Few-Shot Learning Without Prompts

Reference 35

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arxiv_id, observed 2026-06-29T09:13:15.919148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-29T09:11:58.843585Z digest=sha256:5ae58665cb85b52528c40376fb5fcec4210f8f2c76d7c089025c78e67cf53b92

Observation 6354a5c9-0603-4df2-83b1-22fb3be1974e · inbound

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs cites this paper.

Multilingual Fact-Checking at Scale: Fine-Tuned Compact Models vs LLMs Efficient Few-Shot Learning Without Prompts

Reference 11

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arxiv_id, observed 2026-07-02T22:27:25.370613Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T18:58:55.712400Z digest=sha256:109e1024369eb79e4e6b54faf8c152a1189ba9cd8262aa5424cc02307d234ff8

Observation 04704132-0917-4749-ae27-fbc841fd1253 · inbound

Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs cites this paper.

Detecting Knowledge Gaps from Conversational AI Interactions Using Curriculum Prerequisite Graphs Efficient Few-Shot Learning Without Prompts

Reference 16

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arxiv_id, observed 2026-07-03T05:47:42.054676Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T13:01:51.010436Z digest=sha256:40aa6c3a57df72ca35946c983da6603a527dbce4dbb8043a858a32a7329b96da

Observation 36cc5858-1f10-4c9f-a812-9e2112770516 · inbound

From Regulation to Requirements: An Automated Requirement Derivation and Explanation Pipeline cites this paper.

From Regulation to Requirements: An Automated Requirement Derivation and Explanation Pipeline Efficient Few-Shot Learning Without Prompts

Reference 28

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no resolver link, observed 2026-07-11T19:05:55.879132Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:05:55.879132Z digest=sha256:4fce06b21c485428a86cc9904be7e6026bc51aee354208d4a309a311da239d42

Observation de0d6ba7-5a77-4e59-8924-688866455480 · inbound

A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data cites this paper.

A Longitudinal Analysis of Public Discourse on AI Ethics in Education Using Twitter Data Efficient Few-Shot Learning Without Prompts

Reference 7

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no resolver link, observed 2026-07-15T07:14:38.560633Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T07:14:38.560633Z digest=sha256:7c53d369ebde0edd1fae4f020f853bd7ad840825511c9556175bc4ef481105c9

Observation 16630b83-2afd-47c6-acb1-a8ccd58b24cd · inbound

Test-Time Scaling via Error Localization cites this paper.

Test-Time Scaling via Error Localization Efficient Few-Shot Learning Without Prompts

Reference 158

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no resolver link, observed 2026-08-01T07:28:34.426364Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:28:34.426364Z digest=sha256:e222716111df833727c1e6efb7491b552fd2adaa29fdd0af5ccf52e8881e0ed2

Observation b31ef1b5-be68-4428-9359-8161787a2b71 · inbound

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models cites this paper.

How Much Does a Reasoning Summary Reveal? An Observability Ladder for Large Language Models Efficient Few-Shot Learning Without Prompts

Reference 54

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no resolver link, observed 2026-08-04T15:22:55.720055Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:22:55.720055Z digest=sha256:b7b09ada9f5ba5fcfbf60bed126ab8967c9944f9ff64d0663f9861603dc5b24a