Paper Citation Record · LEDGER

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.13121.

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

pith.paper-citation-record.v1
2406.13121 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:45.644755Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:55.205497Z

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 086c2705-131b-4941-8446-5a0f748c1901 · inbound

World Model on Million-Length Video And Language With Blockwise RingAttention cites this paper.

World Model on Million-Length Video And Language With Blockwise RingAttention Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:36:57.295583Z

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 a5b23d56-d3ca-4d81-a5b5-7ceea9d261ef · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.663710Z

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 49c56812-6f8e-454e-a536-70ad682be9fa · inbound

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities cites this paper.

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-19T05:52:07.847402Z

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 db5e1daf-867f-4c3c-999a-c6800cac21ff · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:45.644755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b75a24-002e-491b-bdbe-267732a9741e · inbound

CompLLM: Compression for Long Context Q&A cites this paper.

CompLLM: Compression for Long Context Q&A Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T15:40:48.710505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9e292e-5c93-4e27-ac67-e3ce2bb60e35 · inbound

LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability cites this paper.

LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-18T10:21:14.862444Z

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 cf627056-4d09-44d5-ab90-636f7d354f97 · inbound

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval cites this paper.

LLM-guided Hierarchical Search for End-to-end Reasoning Intensive Retrieval Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T09:50:44.647651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3c753d3-a883-4eb6-936d-46c4c1ef1d9b · inbound

Scalable Model-Based Clustering with Sequential Monte Carlo cites this paper.

Scalable Model-Based Clustering with Sequential Monte Carlo Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:19:19.832952Z

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 2ae5de60-d5bb-4aa3-9b9b-7c202da9214f · inbound

Inference Time Context Sparsity: Illusion or Opportunity? cites this paper.

Inference Time Context Sparsity: Illusion or Opportunity? Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:04:53.045640Z

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 803a5c2b-ef75-4349-82aa-83536f85c102 · inbound

ATLAS: All-round Testing of Long-context Abilities across Scales cites this paper.

ATLAS: All-round Testing of Long-context Abilities across Scales Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T13:33:27.987180Z

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 30780c53-4ab8-4518-9b07-11cb5c3e78b0 · inbound

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture cites this paper.

Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:36:09.327948Z

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 2b7b190f-f04c-42bd-9937-4ccd0c3e237e · inbound

Recursive Agent Harnesses cites this paper.

Recursive Agent Harnesses Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T15:08:33.245579Z

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 23788e2a-b817-4338-a00a-af7d59ed2885 · inbound

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale cites this paper.

Can Language Models Actually Retrieve In-Context? Drowning in Documents at Million Token Scale Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:48:55.207309Z

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 9826e35c-7b0a-4a80-a617-cd87ee02b69b · inbound

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support cites this paper.

Evidence Interfaces Shape How Retrieval-Augmented Readers Use Support Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T19:03:37.287142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.