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Paper Citation Record · LEDGER

PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.05676.

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

pith.paper-citation-record.v1
2403.05676 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:08:32.686334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:37:31.249782Z

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 a8e38d75-c03c-4ac7-87bd-9ae13e33b887 · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:15:55.458237Z

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=2026-05-24T02:15:05.379583Z digest=sha256:38aec425b6a25e102de6ccf58ad594abcb6eee16172c877e3ce371130e67fcee

Observation 8f34abb9-e96d-4439-beaf-e81e20efe4bd · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:08:35.548769Z

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=2026-05-23T23:06:41.081461Z digest=sha256:9d2b05e7fbd8c9d2c67960180e3fe9e878a603c1a8a951c7bb0d9ac0523122ce

Observation 1d756630-5985-4b91-913e-9c2a02d991c6 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T18:08:32.686334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:32.686334Z digest=sha256:7dd6de9fbebeb661d45529edf3301b9ee56fb4519cdab4e59c41587c8d4572f4

Observation 7d78e725-485f-4386-bae5-ed895992966a · inbound

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance cites this paper.

SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariance PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-design

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:37:31.251401Z

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=2026-06-27T16:24:31.109508Z digest=sha256:eaf167146a57ba8f07a233087c49a8e1241fc71966658e949637367342bc8ccd