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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 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 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:24:51.082163Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T17:36:27.515468Z digest=sha256:2df26939c39768538c87a34b84ca9ef3af76259e20320f4279d74fbfbb53f437

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.

source=arxiv_source observed=2026-08-07T13:24:51.082163Z digest=sha256:6f201c323e64ec6b1fa3014b1b2988426e554804814ee530ea409bf2bb68b84f

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.

source=pdf_text observed=2026-08-07T10:57:26.911800Z digest=sha256:9668d98e01d863548f803f6334ef92b92aa029205b6bccb14734cc5b54e768f9

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.

source=pdf_text observed=2026-08-07T01:03:45.530451Z digest=sha256:2390b3ce417f7ebdefa02c5ad3e2e914bea2d50e113b79fd497a7ef6e04ab3db

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.

source=arxiv_source observed=2026-08-06T22:31:19.305588Z digest=sha256:486cb3e7316c5638526058fe02333e478e2b012976b3517c7b08e2fd5f64197a

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.

source=pdf_text observed=2026-08-06T21:03:00.481681Z digest=sha256:1c159c8ee42c510eb281296c2c67822c6f00f5e6f79486617c36009668a978e5

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.

source=arxiv_source observed=2026-08-06T20:01:29.111543Z digest=sha256:135b8c9ecf148bbbac9025c4ab0c8cf587fd48ac793c24bea87e2dfaada3be24

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.

source=arxiv_source observed=2026-08-05T19:21:49.054424Z digest=sha256:5294737c85a4e4687ad55b630e2bf23f21732165cb9209f697f0680bf798203a

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.

source=arxiv_source observed=2026-08-04T16:31:22.790599Z digest=sha256:8cb69fa510c1818d6d5bb5694fe538ccc0a3de9717f840e353507167d9f77a3b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T00:57:25.902674Z digest=sha256:200582b899d281423d5850167c60cd0c451c67fa55ad9c8b385190a901bf4a3c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:32:02.222528Z digest=sha256:5dc1b0b46d0746de588619f73a78dd1de0ff4c8aaf2be580d5ec2969a6fbd077

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:15:45.474618Z digest=sha256:4a368db0b2a6ce815411c5e2adc6bb8c349d5deb611b7ed36ce8600466419910

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T04:22:05.341154Z digest=sha256:e2818337aecd5b0cf8cb83f5067a1b9e4f00b503ca872bf8e7ee092b90620321

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T13:15:21.201950Z digest=sha256:d3a8e14c5d8c5d6880711a918a1c33a0d8471a814a1d53fc02d3706aed68352e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T18:22:26.131883Z digest=sha256:5edb94f5c2b26a71de389e9c0b3e09620f7a46cc725f7f6a3adc34c186d18ac7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:53:28.491889Z digest=sha256:bc8f945f63c911655dbf8c6683ccad7f5bb950e6e49b4693827442e187f8716e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T21:00:25.664841Z digest=sha256:93ef837b63de51d683cae982cf5d2c730ef21cf57c15fb1f5e2b464deb367e75

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T10:29:45.658224Z digest=sha256:9412d072e08887192e7dc7c403d9b8339b74a604b6409312142d597cba5f59a7

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.

source=arxiv_source observed=2026-08-01T06:25:06.275654Z digest=sha256:ff34675dd2e9189289e0e98273f69564fa0b388e0260f03e930a863532a1b0af