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Paper Citation Record · LEDGER

Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:9a43ca1fd4ec47e399d726271861a3d9b0cc50e7a4deba6df2aa11adaf0a8c52

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:f41ead349bb9a3d2596455247380ea4a06a7c11fa83b6924aa78b6edc8f4ccc7

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=sha256:9e9ea2ab83e37e02b6e18d8f4226f14f53c7ca0dbc6359daf58991d00fb51b49

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=sha256:089bcac5965409d4359e86a1dd8871a1c2c5a3a894729f6e6fabe1b3cc0d61f9

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T07:45:10.187278Z digest=sha256:297bcc5f2166dc3d09272fa7d3a611cd6703bd55a09b161163e47439e5a9c53b