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Paper Citation Record · LEDGER

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.16178.

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

pith.paper-citation-record.v1
2405.16178 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 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:45:23.418943Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 501e6e80-ae84-4bf0-bd32-5e2349079e3c · inbound

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference cites this paper.

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T14:35:23.529362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:35:23.529362Z digest=sha256:9a7dda36b8ec3e1f0fb6d86966009d431bd2887dff9c39c3659e7b7f50a06423

Observation e65a0536-c66a-4e83-906c-fe4c6b0e18a4 · inbound

Accelerating Retrieval-Augmented Generation cites this paper.

Accelerating Retrieval-Augmented Generation Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-11T15:45:23.418943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:45:23.418943Z digest=sha256:dbe8869c52f6f8343534e60a10ccf8134be395e5678ea2292ed9396b69218529

Observation 4954c2a4-3254-45a3-9c22-9d1d0b6196c0 · inbound

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge cites this paper.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-11T05:55:14.883477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:55:14.883477Z digest=sha256:c7ec88fea0f236489b56ea2cf04bc4b153ef448dd466f8cd05810c24000eca7f

Observation 1ddcbab2-fe78-44f5-90b2-500113d363a3 · inbound

Provence: efficient and robust context pruning for retrieval-augmented generation cites this paper.

Provence: efficient and robust context pruning for retrieval-augmented generation Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T13:43:43.882119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:43:43.882119Z digest=sha256:1db0ab5ec22ac3a7045b32e89754fa290b0b7e64c65330f672498b916b02a8ec

Observation 943f36e7-1775-434a-8d2c-5d9538fcd5df · inbound

Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact cites this paper.

Scalable LLM-based Coding of Dialogue in Healthcare Simulation: Balancing Coding Performance, Processing Time, and Environmental Impact Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-08T22:49:22.157041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-08T07:45:10.187278Z digest=sha256:b97faac8a6e696731bea8d3ca1da344ef3baa60e6c586e86b231324e562d878e