Paper Citation Record · LEDGER

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 2 inbound Pith citation observations for arXiv:2501.07063.

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

pith.paper-citation-record.v1
2501.07063 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:51:23.064572Z

measured 14 of 14 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:41.217748Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:45:57.232061Z

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy9
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9f5225ac-1e36-466b-8a96-db98379c3ff9 · outbound

This paper cites On certain integrals of Lipschitz-Mao, Kelong, et al.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning On certain integrals of Lipschitz-Mao, Kelong, et al

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.279331Z

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.

Observation 25f5434c-4cf3-47b3-ad8d-584e9af211da · outbound

This paper cites Im-rag: Multi-round retrieval-augmented generation through learning inner monologues.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Im-rag: Multi-round retrieval-augmented generation through learning inner monologues

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.263397Z

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.

Observation d815ceb2-06a9-4951-a769-6abd1a69510b · outbound

This paper cites Custom large language models improve accuracy: Comparing retrieval augmented generation and artificial intelligence agents to non-custom models for evidence-based medicine.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Custom large language models improve accuracy: Comparing retrieval augmented generation and artificial intelligence agents to non-custom models for evidence-based medicine

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.247225Z

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.

Observation 40556fe2-aeb4-45a7-93c3-975807903c46 · outbound

This paper cites Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Advancing Retrieval-Augmented Generation with Inverted Question Matching for Enhanced QA Performance

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.230401Z

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.

Observation 6de3efa1-1309-45b5-a4a8-51c0aed3741c · outbound

This paper cites Optimizing Recommendation Systems in E-Learning: Synergistic Integration of Lang Chain, GPT Models, and Retrieval Augmented Generation (RAG).

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Optimizing Recommendation Systems in E-Learning: Synergistic Integration of Lang Chain, GPT Models, and Retrieval Augmented Generation (RAG)

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.213218Z

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.

Observation 4f60c2b8-ab49-4eb1-a7e9-c3f2f080c974 · outbound

This paper cites Graph retrieval-augmented generation for large language models: A survey.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Graph retrieval-augmented generation for large language models: A survey

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.198137Z

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.

Observation 3e7e3214-869b-424a-99d3-fe489ab70d63 · outbound

This paper cites AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T20:51:23.037896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f76b4617-673f-4a66-8290-5636d924cc18 · outbound

This paper cites Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:51:23.043563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ab4bc05-f2d2-4f8d-808b-b15f20af3e66 · outbound

This paper cites Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Evidence-Driven Retrieval Augmented Response Generation for Online Misinformation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T20:51:23.048822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81ce5a24-b54d-4b6d-b0a9-0050e4cd727d · outbound

This paper cites & Kiela, D.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning & Kiela, D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.183518Z

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.

Observation 79e0a0b8-3c77-4f2e-9d4b-23dd34ef9d51 · outbound

This paper cites Evaluating retrieval-augmented generation (RAG) techniques in enhancing LMS for coding tasks.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Evaluating retrieval-augmented generation (RAG) techniques in enhancing LMS for coding tasks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.168407Z

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.

Observation 8e4935cb-a4f8-47ca-983a-bc3108ffdc93 · outbound

This paper cites Web Application for Retrieval-Augmented Generation: Implementation and Testing.

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning Web Application for Retrieval-Augmented Generation: Implementation and Testing

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:51:23.151113Z

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.

Pith citing papers

Observation 89f0af77-02dd-425d-8620-6530c5b61d0c · inbound

Memorization and Knowledge Injection in Gated LLMs cites this paper.

Memorization and Knowledge Injection in Gated LLMs Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:41.217748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d33b9e-338b-495f-8592-c7f7c35e9953 · inbound

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization cites this paper.

UrbanMind: Towards Urban General Intelligence via Tool-Enhanced Retrieval-Augmented Generation and Multilevel Optimization Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:45:57.238369Z

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.