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Paper Citation Record · LEDGER

Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.11854.

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

pith.paper-citation-record.v1
2412.11854 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:10:03.561168Z

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

1
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 9de3e231-4e2f-409e-a7c3-226309dc132b · inbound

Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search cites this paper.

Cosmos: A CXL-Based Full In-Memory System for Approximate Nearest Neighbor Search Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:10:03.561168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:10:03.561168Z digest=sha256:ef05db29677d010ab3182ca12d3089e7171a17b7cb1ba888613b3351ebe9be59

Observation d92c68b1-6eb0-4ad5-97ac-e268cab42e02 · inbound

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning cites this paper.

BAR Conjecture: the Feasibility of Inference Budget-Constrained LLM Services with Authenticity and Reasoning Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T11:04:47.214527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:04:47.214527Z digest=sha256:0bcf8d5d53e06f24d205e7b28e72e1e0b866fe4512aff0cd7a83bac53e386b5d

Observation 08d6a4a6-8666-4176-9975-40b3d3de85db · inbound

CacheClip: Accelerating RAG with Effective KV Cache Reuse cites this paper.

CacheClip: Accelerating RAG with Effective KV Cache Reuse Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:41:33.721435Z

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=2026-05-22T12:36:41.630618Z digest=sha256:177202f18f264436248e03eaa19c487442740805f6e6b523b1df4ed740cd9201

Observation 1e8141bd-6958-4562-a8c5-7f1a5fd97ac1 · inbound

NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems cites this paper.

NOVA: NOise-aware Verbal Confidence CAlibration for Robust Large Language Models in RAG Systems Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-03T10:14:02.295939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:14:02.295939Z digest=sha256:c3262fc1db51a774e38d41afb818ab5319a891317bf12d3c0a1f09beaf38566c

Observation 28713d80-fb78-46a7-afc2-f2e38cff95cb · inbound

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search cites this paper.

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.415220Z

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=2026-05-15T21:58:04.706427Z digest=sha256:db186cb04a22e94b2e35fc3ad0ef15e0bb0f9e26cc0671cc7fd839b286177b14

Observation aa2abccb-57f1-4d40-8df9-412a049b22be · inbound

Integrating Domain-Specialized Language Models with AI Measurement Tools for Deterministic Atomic-Resolution Experimentation cites this paper.

Integrating Domain-Specialized Language Models with AI Measurement Tools for Deterministic Atomic-Resolution Experimentation Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:10:18.591423Z

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=2026-05-15T20:06:50.777772Z digest=sha256:dbb94ac7f592582d1545dca71b7224c3087091c7f43b565c6f7d6da336a0fe30

Observation 7fe9fa6d-16ea-4983-bcfb-5c67b8b697a3 · inbound

uGen: An Agentic Framework for Generating Microarchitectural Attack PoCs cites this paper.

uGen: An Agentic Framework for Generating Microarchitectural Attack PoCs Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T15:47:38.550332Z

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=2026-05-19T15:46:52.746700Z digest=sha256:dbf632583c6ec0addac620e5ce29de7ccda9d940d402c9bb19926dc603b383d8

Observation aa058340-fe41-49c8-8e9a-90f8c514ec9b · inbound

When More Cores Hurts: The Vector Database Scaling Paradox in HPC cites this paper.

When More Cores Hurts: The Vector Database Scaling Paradox in HPC Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-06-27T15:21:00.063605Z

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=2026-06-27T15:19:23.339311Z digest=sha256:ed73f27810afdb84c49d65c4ae5807ce00883059641a2481c5956678687fad2a

Observation e33965f2-9524-4445-83bb-405d282648df · inbound

Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture cites this paper.

Retrieval-Augmented Generation in LLMs for Mental Health: Quantifying the Incremental Contribution of Retrieval Within a Layered Safety Architecture Towards Understanding Systems Trade-offs in Retrieval-Augmented Generation Model Inference

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T22:39:04.174766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T22:39:04.174766Z digest=sha256:19ae178d1137dd14e044f9e2f8a4f27203f9b5fe94a5fa4248df86f7f34529b5