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Paper Citation Record · LEDGER

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2502.09073.

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

pith.paper-citation-record.v1
2502.09073 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:47:39.129301Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:28.244938Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T05:11:26.680255Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact3
  • verified fuzzy13
  • unresolved17
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 84c5ae0c-572d-41a9-a641-7094eb418ec2 · outbound

This paper cites Generative AI Text Classification using Ensemble LLM Approaches.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Generative AI Text Classification using Ensemble LLM Approaches

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 39ed4978-412b-4d67-9838-0a1167b1a1a4 · outbound

This paper cites Contextual diversity for active learning.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Contextual diversity for active learning

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 28c56194-5286-43ee-ac1d-645980365e96 · outbound

This paper cites and Tsoumakas, G.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables and Tsoumakas, G

Reference 6

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7950d8ff-1da4-4f20-b5ea-2f960a65b323 · outbound

This paper cites A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods

Reference 8

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Observation 7a8be422-762b-42ce-8abb-5527d65a3c1a · outbound

This paper cites Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 343b1e67-e905-4f2c-9662-e617217a2489 · outbound

This paper cites Low-resource interactive active labeling for fine-tuning language models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Low-resource interactive active labeling for fine-tuning language models

Reference 12

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raw_fallback, observed 2026-08-07T22:47:39.752244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c6950312-48e7-4373-8407-2663065674a6 · outbound

This paper cites Active learning principles for in-context learning with large language models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Active learning principles for in-context learning with large language models

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 85d7d842-e09f-4d58-a7a9-dbfdf1b8bda5 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables MTEB: Massive Text Embedding Benchmark

Reference 14

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Observation 5429c500-6f5d-4a05-b8f8-93909e93ebb0 · outbound

This paper cites RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

Reference 15

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Observation c4acefba-b1ac-4b60-83dd-3980895d4140 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 16

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Observation 0f1a8713-851c-469f-bc5b-aebd1062878f · outbound

This paper cites Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Revisiting Uncertainty-based Query Strategies for Active Learning with Transformers

Reference 17

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Observation 2bea2c17-ff0d-49ac-b139-8b9122cc76e3 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 18

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Observation 44f34143-e59b-4876-bcae-514cf1f60682 · outbound

This paper cites Large Language Models for Data Annotation and Synthesis: A Survey.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Large Language Models for Data Annotation and Synthesis: A Survey

Reference 20

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Observation facad19f-f897-441c-8ddb-ea22f3572188 · outbound

This paper cites and Goel, A.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables and Goel, A

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7e5d5d3e-e82d-4ae0-861b-f5c84729db75 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 22

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Observation 20d255f8-ae6d-433d-aadf-2e126d68556a · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

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Observation 3bbdffe1-8dd9-4ee8-a69d-e7d513d4e8aa · outbound

This paper cites Active learning for abstractive text summarization.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Active learning for abstractive text summarization

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f617caa7-5069-4687-be10-b2ee87c52b3d · outbound

This paper cites A survey of active learning algorithms for supervised remote sensing image classification.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables A survey of active learning algorithms for supervised remote sensing image classification

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 62175c98-0e8b-4c47-83c3-caaf2ff7cdeb · outbound

This paper cites and Shang, Y.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables and Shang, Y

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2889a7bd-05af-48dc-a670-7f5dabf7809d · outbound

This paper cites A comprehensive survey on deep active learning in medical image analysis.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables A comprehensive survey on deep active learning in medical image analysis

Reference 28

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local_arxiv, observed 2026-08-07T22:47:39.204474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5211a21a-3dc3-46b3-a199-89ca6ceaa98c · outbound

This paper cites 100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables 100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo

Reference 29

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local_arxiv, observed 2026-08-07T22:47:39.187886Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 13b1e1f5-5056-4f88-b7b9-96bdbf9fae5d · outbound

This paper cites Freeal: Towards human-free active learning in the era of large language models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Freeal: Towards human-free active learning in the era of large language models

Reference 30

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raw_fallback, observed 2026-08-07T22:47:39.673283Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e2544828-5570-4e18-b730-33ad5a18b53c · outbound

This paper cites Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Wat zei je? Detecting Out-of-Distribution Translations with Variational Transformers

Reference 31

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Observation 767d2de8-bf3f-4ff9-b7a4-41c62355cd52 · outbound

This paper cites Deploying Foundation Model Powered Agent Services: A Survey.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Deploying Foundation Model Powered Agent Services: A Survey

Reference 32

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Observation 1bee3519-1223-4bf7-b3ce-d0db60c32b6c · outbound

This paper cites Llmaaa: Making large language models as active annotators.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Llmaaa: Making large language models as active annotators

Reference 33

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raw_fallback, observed 2026-08-07T22:47:39.661779Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation e97a0288-4ab2-4529-bc7c-eb903b4501f9 · outbound

This paper cites A survey of active learning for natural language processing.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables A survey of active learning for natural language processing

Reference 34

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raw_fallback, observed 2026-08-07T22:47:39.649883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 05a5b810-2543-44df-b52f-05b0d92cc349 · outbound

This paper cites Diversity- aware batch active learning for dependency parsing.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Diversity- aware batch active learning for dependency parsing

Reference 1995

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verified fuzzy
raw_fallback, observed 2026-08-07T22:47:39.729422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 16965153-bed6-4fdb-94e7-d37ec54a6a8d · outbound

This paper cites Fed- cda: Federated learning with cross-rounds divergence- aware aggregation.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Fed- cda: Federated learning with cross-rounds divergence- aware aggregation

Reference 2014

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verified fuzzy
raw_fallback, observed 2026-08-07T22:47:39.683361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 6938cf3e-7a5a-4105-a00c-1505670e2fd7 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables LoRA: Low-Rank Adaptation of Large Language Models

Reference 2018

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Unavailable: canonical work link unavailable.

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Observation 17b72ce3-416e-4ea7-823b-32d7fa4304da · outbound

This paper cites Active learning for abstractive text summa- rization via llm-determined curriculum and certainty gain maximization.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Active learning for abstractive text summa- rization via llm-determined curriculum and certainty gain maximization

Reference 2020

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raw_fallback, observed 2026-08-07T22:47:39.763748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation aab445be-73d4-48e6-bcc1-45aa677de7e8 · outbound

This paper cites RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models

Reference 2021

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Unavailable: canonical work link unavailable.

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Observation b3742e33-e798-41c8-a807-6338c415e3eb · outbound

This paper cites and Reuter, C.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables and Reuter, C

Reference 2022

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Observation 25250c70-4f6c-498a-abb1-f6f93a8bc4f2 · outbound

This paper cites GPT-4 Technical Report.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables GPT-4 Technical Report

Reference 2023

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Unavailable: canonical work link unavailable.

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Observation 0c1d5b94-5e39-4b96-b934-fbf946ec148d · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2024

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source=pdf_text observed=2026-08-07T22:47:39.014482Z digest=sha256:774a4796bf46de7a96b374dc80aca71a69e773c790c8ffb392bac3edb8d41cfb

Pith citing papers

Observation b2f5577c-faf7-4dfa-8cef-ff8555ecc89f · inbound

AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa cites this paper.

AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables

Reference 20

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no resolver link, observed 2026-08-07T14:31:28.244938Z

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Observation d0efb23f-f826-4f46-a1a9-6fb954d060d0 · inbound

A Survey of the State-of-the-Art in Conversational Question Answering Systems cites this paper.

A Survey of the State-of-the-Art in Conversational Question Answering Systems Enhancing RAG with Active Learning on Conversation Records: Reject Incapables and Answer Capables

Reference 82

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local_arxiv, observed 2026-08-05T05:11:26.684780Z

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