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Paper Citation Record · LEDGER

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.16833.

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

pith.paper-citation-record.v1
2407.16833 v2

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

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:40:53.253318Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:26:41.320119Z

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 200436e0-c38a-481b-b8d5-7720a19bba5d · inbound

QwenLong-CPRS: Towards $\infty$-LLMs with Dynamic Context Optimization cites this paper.

QwenLong-CPRS: Towards $\infty$-LLMs with Dynamic Context Optimization Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T14:40:53.253318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:40:53.253318Z digest=sha256:604f13a4297411ef5c73298db4730144c957458b6b979317c1cd361b4377ca56

Observation 5a1dbcc6-80eb-48ee-a43c-b3dcefd75410 · inbound

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework cites this paper.

LOOM-Scope: a comprehensive and efficient LOng-cOntext Model evaluation framework Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T19:45:12.486670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:45:12.486670Z digest=sha256:6ebd34d1a0d4d13168cd863ec2e325a6b4ed9fc329160d21969d039b7abae642

Observation 6dbc1ccd-d00e-4789-886e-992c8c8dede8 · inbound

Exploring Robust Multi-Agent Workflows for Environmental Data Management cites this paper.

Exploring Robust Multi-Agent Workflows for Environmental Data Management Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T16:57:53.479552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:57:53.479552Z digest=sha256:88541a5378b095a14723bfbd62ec58ee1c79297a8846583c7c7d0737ec538bc7

Observation 7fbaece3-90a3-4b74-b4af-5634ab826fbf · inbound

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

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:26:00.827615Z

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=2026-05-10T14:59:05.826933Z digest=sha256:7cb7b072607038f71c0d5652502f839bd9be055f206ef4f90b9c1cecce2a3c2d

Observation 9239c8f8-4afe-4a16-a949-44ffdcfee01e · inbound

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

Retrieval Is Not Enough: Why Organizational AI Needs Epistemic Infrastructure Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:26:41.323785Z

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=2026-05-25T06:26:27.908346Z digest=sha256:02cedf4caf38a9abf8bfb6c3c3579717255d198c00502e13b824bc80e0950631