Paper Citation Record · LEDGER

In Defense of RAG in the Era of Long-Context Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2409.01666.

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

pith.paper-citation-record.v1
2409.01666 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:22:58.550180Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T20:07:33.463537Z

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 56d1ea57-7681-4987-83cd-1771c17e07f3 · inbound

SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models cites this paper.

SayComply: Grounding Field Robotic Tasks in Operational Compliance through Retrieval-Based Language Models In Defense of RAG in the Era of Long-Context Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T18:42:52.996827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 928ab6be-f834-49d9-bd75-fa707086fbef · inbound

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

100% Elimination of Hallucinations on RAGTruth for GPT-4 and GPT-3.5 Turbo In Defense of RAG in the Era of Long-Context Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T20:55:26.956672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920fcb9b-ca75-4110-bcaf-2abadfbcafff · inbound

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG cites this paper.

Mixture-of-PageRanks: Replacing Long-Context with Real-Time, Sparse GraphRAG In Defense of RAG in the Era of Long-Context Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T20:06:06.018310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61ed7997-19f3-4a3e-b5f6-023cb6b160e8 · inbound

Long Context vs. RAG for LLMs: An Evaluation and Revisits cites this paper.

Long Context vs. RAG for LLMs: An Evaluation and Revisits In Defense of RAG in the Era of Long-Context Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T00:08:56.076505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d102d1-ded3-42d0-8e7e-b149291e78d3 · inbound

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation cites this paper.

CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented Generation In Defense of RAG in the Era of Long-Context Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T15:53:07.646661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b9c447-6dd1-4c54-ac8d-e1a7496cf3d4 · inbound

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? cites this paper.

GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity? In Defense of RAG in the Era of Long-Context Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T20:25:16.979011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a230f06c-0673-4b4e-9e12-edd35b86151f · inbound

Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches cites this paper.

Scaling Multi-Document Event Summarization: Evaluating Compression vs. Full-Text Approaches In Defense of RAG in the Era of Long-Context Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T14:55:40.312736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f524e32-f719-4f83-aa70-f9cef0718385 · inbound

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents cites this paper.

Position: Episodic Memory is the Missing Piece for Long-Term LLM Agents In Defense of RAG in the Era of Long-Context Language Models

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:38.452969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01fa9e51-1411-4886-b499-a66e974a4823 · inbound

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing cites this paper.

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing In Defense of RAG in the Era of Long-Context Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T19:54:17.469668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba077bf5-2ea6-4c0f-8c94-3b4f01d1a3ee · inbound

Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization cites this paper.

Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization In Defense of RAG in the Era of Long-Context Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T12:22:58.550180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f27bcb11-a15b-4e89-a563-89ff99277837 · inbound

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes cites this paper.

Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes In Defense of RAG in the Era of Long-Context Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T23:41:18.276829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e80a78fb-111e-4695-963f-1d4693b8f924 · inbound

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG cites this paper.

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG In Defense of RAG in the Era of Long-Context Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:21.625917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a617d5-7e3b-4f0b-ab9b-45c1dd1edfad · inbound

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models cites this paper.

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models In Defense of RAG in the Era of Long-Context Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T22:43:06.066966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06627375-ca00-4525-beba-31418d221fcf · inbound

TARGET: Benchmarking Table Retrieval for Generative Tasks cites this paper.

TARGET: Benchmarking Table Retrieval for Generative Tasks In Defense of RAG in the Era of Long-Context Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T21:30:18.874452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2db6c48c-9d87-491a-a94a-e225f256abeb · inbound

JointRank: Rank Large Set with Single Pass cites this paper.

JointRank: Rank Large Set with Single Pass In Defense of RAG in the Era of Long-Context Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T22:14:08.181429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d86fa28-113f-4ec1-beaf-dafe0293173c · inbound

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training cites this paper.

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training In Defense of RAG in the Era of Long-Context Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:30:29.385080Z

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.

Observation 4fff6489-bbbc-4761-8e64-4a0e60fc5e6b · inbound

SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing cites this paper.

SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing In Defense of RAG in the Era of Long-Context Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:52.120254Z

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.

Observation 10ea89b6-3012-42ca-9162-9b38b3113b33 · inbound

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation cites this paper.

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation In Defense of RAG in the Era of Long-Context Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:21:25.624110Z

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.

Observation e843d8fc-8022-4558-b33d-1316da296732 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective In Defense of RAG in the Era of Long-Context Language Models

Reference 212

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:19.775179Z

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.

Observation fc441270-6e1a-4f08-976b-3c580daac4a6 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective In Defense of RAG in the Era of Long-Context Language Models

Reference 221

Resolution: verified exact; arxiv_id, observed 2026-05-21T00:19:16.575326Z

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.

Observation 677342e0-c9ed-43ea-a993-85d219a53dfd · inbound

Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG cites this paper.

Lost in the Evidence? Reproducing Document Position and Context Size Effects in RAG In Defense of RAG in the Era of Long-Context Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T15:43:32.629697Z

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.

Observation 13013468-f5f5-4c65-bbab-bd8d792ee7cd · inbound

The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications cites this paper.

The Token Tax of Epistemic Accuracy: Comparing RAG and Long-Context Architectures for Document-Grounded Generative AI Applications In Defense of RAG in the Era of Long-Context Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T05:59:37.202130Z

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.

Observation 973a6511-e7ad-42eb-b5dd-3f9e669392aa · inbound

Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs cites this paper.

Efficient Retrieval-Augmented Generation via Token Co-occurrence Graphs In Defense of RAG in the Era of Long-Context Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:14:18.903659Z

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.

Observation 6386f1eb-583c-4354-bed3-a1001328ac93 · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE In Defense of RAG in the Era of Long-Context Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-10T20:07:33.465023Z

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.

Observation 8ccf54c3-18a5-49c9-b971-fce93bb86d97 · inbound

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE cites this paper.

Jet-Long: Efficient Long-Context Extension with Dynamic Bifocal RoPE In Defense of RAG in the Era of Long-Context Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T06:47:09.927626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.