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Paper Citation Record · LEDGER

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge

As of 23 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.22644.

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

pith.paper-citation-record.v1
2506.22644 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:05:36.961615Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c131553-8772-45e1-9d94-065bd2315161 · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:05:37.696611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:05:35.711549Z digest=sha256:466b974c9517bb0cc5de12666a90a68a2d92fd36e987b87427ce05c11eb46c7e

Observation 62abce57-4db8-4f88-8a99-f22e16f9e490 · outbound

This paper cites Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:35.767303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:35.767303Z digest=sha256:8a367013155d2014fae4ec825c70b3fed24c2dc0c75be30f78692c48bb674885

Observation 095bff5e-d9fc-4f13-b25b-2a7394558041 · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:35.840152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:35.840152Z digest=sha256:d080c63a56b926eecd78c88561ffb6fd1433290785a999c184483dbc52f5a318

Observation eccc2a2f-f606-4927-ab14-d6c024862455 · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 4

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T22:05:37.353703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:05:35.880022Z digest=sha256:2922d23068cee78608649c918509ab7cc9e48c2d4134341baa29482e23985ef5

Observation 0a8c4c22-2d24-4eb7-8a9c-209f424ead59 · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:35.985845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:35.985845Z digest=sha256:5039ee77fe8bb7b62e2f345b6cd37a38b3fa5cfd0e198b7cf9e71ea84b3fa4f5

Observation eabd88ae-7260-4faf-9347-73518975c223 · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.111491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.111491Z digest=sha256:c75767305c61ba7be81b52c812c3cefcaf045d370c4a924c95beed89be5c1689

Observation d9f3794e-fc3b-412c-9001-cdb8406da6c8 · outbound

This paper cites Document Expansion by Query Prediction.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Document Expansion by Query Prediction

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.230533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.230533Z digest=sha256:2a047a5c2acaab6eadefd6408152a7e226d81226a8f35785689030a30606c85b

Observation c76ffacd-76cd-45b6-8533-4b312a2aa0ae · outbound

This paper cites Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.330887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.330887Z digest=sha256:8649e388a3e40cffa503b29390b47d74b9ba28133c8e8f5dfdd7e9b9c6e867c6

Observation 9711e448-933d-4ad9-b6bc-0cf15c698d2f · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.420010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.420010Z digest=sha256:d982ff7171d0efbeb13584cc7e480a8965126308dc0b293ec814c30844600adc

Observation 7e85748b-b6b8-4492-8fd3-8eb8913fc2bf · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:05:37.526593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T22:05:36.512521Z digest=sha256:0cfa9e6cb6113050e627a26bd517120c4095a79fc941fb3449b98733440a9145

Observation 9384c032-4127-4817-8e51-95352f39fcbb · outbound

This paper cites RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.635719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.635719Z digest=sha256:e364ff2ca193bdd71e37a0c77dbe0f36628fed47a5985e4ce527d165b5911a88

Observation 11a0699d-8b6a-468d-ba08-696ebbd53d14 · outbound

This paper cites Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.753644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.753644Z digest=sha256:c65e6bffbd06a6ec87c0dc1d407bade9d6553a7c87ed936a8d638a13bdbcc0ab

Observation ce9cbf36-9648-441d-912d-180180b1adf6 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.869007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.869007Z digest=sha256:2fa0a6dfd4d1417afd2eae6f00c40cb81dde964116bc806db5dcf018c4d57dfc

Observation 3e7db311-f421-4bca-8682-765b870c7dee · outbound

This paper cites an unresolved cited work.

Evaluating Hybrid Retrieval Augmented Generation using Dynamic Test Sets: LiveRAG Challenge Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T22:05:36.961615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:05:36.961615Z digest=sha256:9cf730719a85710fffcedbb9e715538c0e90f072267b388d4543e0cc183b4d9e

Pith citing papers

No inbound Pith citation observations are available.