Paper Citation Record · LEDGER

Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2409.14924.

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

pith.paper-citation-record.v1
2409.14924 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:48:07.524592Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T07:33:13.582327Z

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 1672b298-ddfa-48c1-8d1e-88ae6677fa66 · inbound

Accelerating Prefilling via Decoding-time Contribution Sparsity cites this paper.

Accelerating Prefilling via Decoding-time Contribution Sparsity Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:06:59.972943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 820d409b-6712-44d7-831c-74df8ce6956a · inbound

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement cites this paper.

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:48:07.524592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2426b466-2af9-471d-96fc-44ec5fdbff8d · inbound

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks cites this paper.

GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T17:18:32.062885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51a29c2-c421-448f-8281-6e5b4431d019 · inbound

Open Data Synthesis For Deep Research cites this paper.

Open Data Synthesis For Deep Research Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:45:13.613918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bc73867-52b3-49f7-9949-918902458bdb · inbound

PG-Agent: An Agent Powered by Page Graph cites this paper.

PG-Agent: An Agent Powered by Page Graph Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T15:29:45.142535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a36e3f06-bd95-4907-a8ef-2a7f7df0a1fd · inbound

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction cites this paper.

Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:26:47.237844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 865aad26-c4e4-4a6b-b41e-28740144a684 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 269

Resolution: unresolved; no resolver link, observed 2026-08-05T04:50:32.540167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b201037-1f8b-437f-995d-4af0f1553901 · inbound

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent cites this paper.

DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T19:46:45.069746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ed30bf-8d6e-483d-9703-f031ef266de1 · inbound

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda cites this paper.

Cloud-native and Distributed Systems for Efficient and Scalable Large Language Models -- A Research Agenda Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.820771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 93401f21-0d5e-48b9-a1b4-1aeaaceabb9e · inbound

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA cites this paper.

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:01:11.968809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d9b49e5a-c84f-4398-a7f4-adee9e3e7ec1 · inbound

Efficient Rationale-based Retrieval: On-policy Distillation from Generative Rerankers based on JEPA cites this paper.

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:18:00.247267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8040fbe9-62b5-4689-8d85-7f6d4af01e4a · inbound

VikingMem: A Memory Base Management System for Stateful LLM-based Applications cites this paper.

VikingMem: A Memory Base Management System for Stateful LLM-based Applications Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:33:13.583875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea10d174-fde9-49a5-8004-a51fb32c5b8e · inbound

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory cites this paper.

Light-Omni: Reflex over Reasoning in Agentic Video Understanding with Long-Term Memory Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-11T06:35:35.951554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.