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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.01880.

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

pith.paper-citation-record.v1
2501.01880 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:25:16.890221Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:14:46.866738Z

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 937d0ff0-3e26-4cde-aab8-2b32467d4ba9 · 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? Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T20:25:16.890221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:25:16.890221Z digest=sha256:1d758225fd79dac12584d5cbe5deaf08cb8f8ce8a5e3b6232a2cacefcb64cac8

Observation a2910f97-510c-485f-99e9-f1f3d187bc3a · inbound

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure cites this paper.

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:00.706837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T14:59:05.826933Z digest=sha256:df63e595e355eaed477c1b3247f7554b95c02d17150a282ffb74f4d538fd282b

Observation a3d31cbe-6a49-434a-a1c9-50a3f8343c30 · inbound

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure cites this paper.

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:26:41.382798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T06:26:27.908346Z digest=sha256:ba33dc7bf7819671909f490c9057cb9d42ea5721f59a6f2cad0ce3b57868f822

Observation 86c637f7-ac3d-4874-9e22-ac82e7409873 · inbound

FD-RAG: Federated Dual-System Retrieval-Augmented Generation cites this paper.

FD-RAG: Federated Dual-System Retrieval-Augmented Generation Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T15:14:46.868196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T15:12:01.208381Z digest=sha256:8a72193c33405d584124248ceed900471b91d9574d8b6b62ec08cc2bc4e8ae7a

Observation eed84c84-c7ca-48ff-8242-c70096fc44c6 · inbound

Is Progressive Disclosure All You Need for Long-Context Agents? cites this paper.

Is Progressive Disclosure All You Need for Long-Context Agents? Long Context vs. RAG for LLMs: An Evaluation and Revisits

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-01T17:35:07.794843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T17:35:07.794843Z digest=sha256:15bb8b2c7b9018a7f39b3ed939e4adce2aec8bf8642a6451cf02136058c0eaab