Paper Citation Record · LEDGER

Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2410.05983.

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

pith.paper-citation-record.v1
2410.05983 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:16:19.158491Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:05:04.209365Z

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 4fe435fc-9306-4c1e-af3f-5bc7f642f308 · inbound

Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge cites this paper.

Multi-Reranker: Maximizing performance of retrieval-augmented generation in the FinanceRAG challenge Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:16:19.158491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ba8259a-d6f2-4763-b3dd-03cc43681d28 · inbound

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs cites this paper.

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T05:42:11.704697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 391ad8a3-b287-4090-b6b8-519ffe9788db · inbound

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

Long Context vs. RAG for LLMs: An Evaluation and Revisits Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T00:08:55.897940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1756aa57-17fa-47a2-b868-275b1cc52d81 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:36:27.718007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce720dd9-6067-4225-9cf1-349f28ad3a1c · inbound

NExtLong: Toward Effective Long-Context Training without Long Documents cites this paper.

NExtLong: Toward Effective Long-Context Training without Long Documents Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T16:52:49.718953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef579b17-11d1-4415-8235-095688f9df78 · inbound

Multiple Abstraction Level Retrieve Augment Generation cites this paper.

Multiple Abstraction Level Retrieve Augment Generation Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T05:33:52.346459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f62e7b7-8ece-4669-8bcb-a45cd8ca16f1 · inbound

ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation cites this paper.

ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T10:11:13.247247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0914aadd-44d0-486a-a3d4-d761414d506c · inbound

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning cites this paper.

VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:24:51.082163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14d10598-39f1-4dce-8235-a219b068f9ab · inbound

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems cites this paper.

Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T10:57:26.911800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a289bc2-1e89-4892-b14e-a911301816b8 · inbound

Maximally-Informative Retrieval for State Space Model Generation cites this paper.

Maximally-Informative Retrieval for State Space Model Generation Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T01:03:45.530451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 567533cd-5f5e-4027-be48-a6fb850390c6 · inbound

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation cites this paper.

Weak-to-Strong GraphRAG: Aligning Weak Retrievers with Large Language Models for Graph-based Retrieval Augmented Generation Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:19.305588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b8e90a0-0b05-4b19-a4fc-c8d8e68b563a · inbound

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks cites this paper.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.481681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd75dbc2-488c-4ac3-b751-7ffdada494f0 · inbound

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering cites this paper.

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T20:01:29.111543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f557fa-4ee7-484b-b692-478b52b46b9a · inbound

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward cites this paper.

Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T19:21:49.054424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b994680-09b1-4023-9da0-1ee590fd1e83 · inbound

Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG cites this paper.

Linguistic Nepotism: Trading-off Quality for Language Preference in Multilingual RAG Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T16:31:22.790599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee9ac584-9c02-4d3d-b2b3-eee0bfe69d2f · inbound

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning cites this paper.

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:00:34.525798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fea2730-40a7-4601-9637-4544c90e0fc6 · inbound

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

SAGE: Selective Attention-Guided Extraction for Token-Efficient Document Indexing Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:32:52.094810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9daf1c8b-a8c4-4f77-9349-374b63043d13 · inbound

Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving cites this paper.

Accuracy Is Speed: Towards Long-Context-Aware Routing for Distributed LLM Serving Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:17:37.441824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e405d6ce-966c-420d-b384-1146e9f9dc47 · inbound

Latent Abstraction for Retrieval-Augmented Generation cites this paper.

Latent Abstraction for Retrieval-Augmented Generation Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:01:04.994765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 29f7e1b4-e29f-4449-82b1-35baacb356f8 · inbound

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving cites this paper.

Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-12T09:01:25.917302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fdc82e38-d591-4364-b398-22958d8085b0 · inbound

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis cites this paper.

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:30:45.155986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f7d83248-4762-459f-ab5a-c59e2e0afccd · inbound

An Annotation Scheme and Classifier for Personal Facts in Dialogue cites this paper.

An Annotation Scheme and Classifier for Personal Facts in Dialogue Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.274079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08899397-545b-4994-8944-e8d5f351541c · inbound

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models cites this paper.

MemLens: Benchmarking Multimodal Long-Term Memory in Large Vision-Language Models Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T21:05:04.210813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf330fb7-be22-4025-a577-bdb5db374366 · inbound

MedicalBench: Evaluating Large Language Models Toward Improved Medical Concept Extraction cites this paper.

MedicalBench: Evaluating Large Language Models Toward Improved Medical Concept Extraction Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:30:00.195842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60dffd78-af7d-400e-950d-3b3000ea7f45 · inbound

Hierarchical Reranking for Scalable Financial RAG System cites this paper.

Hierarchical Reranking for Scalable Financial RAG System Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T06:25:06.275654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1289db4f-6e72-4f79-979f-1ea1b7274676 · inbound

Not All Problems Are Best Modeled as MILP: A DSL-Centric Framework for Flexible and Accurate Optimization Modeling cites this paper.

Not All Problems Are Best Modeled as MILP: A DSL-Centric Framework for Flexible and Accurate Optimization Modeling Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-10T15:58:37.330538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.