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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:05:35.711549Z digest=sha256:46d88cece928839e165cd39f4dc04867ae4fe9c86d967e58d8a04da7cc6d94cf

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:a8be626a557952cc553bb040c486652a318ffdfd78a80553e0930e8729c0085a

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:a4381f1dff6e3b097be18cf7d35b4bd78233c8279dd9c625451fad9c0467de78

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:05:35.880022Z digest=sha256:6b56fdd22442dd0537260eeb44ed0e46b97a6d46afb33eb136f2b44d5ed1468f

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=sha256:059cbd94a527ac90083b15a332e4d7b677f573557e1cf9edbc1e0b97052923df

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=sha256:98d5184e82833c34907c42d1b7b7f6b8bb2a3e1a970cd70ce8c806ad849634aa

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=sha256:43af3c4b36391680164d4d97f80c6c92acf7e4b54f903638ac278da10ccf93fc

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:b35a1dbb06c3bacc67b18c6023ad804960b8e462e8de4bc95209cb4766302af0

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=sha256:85ab4fb019838017073934da8d2e34e0045c5df1391a7eb4e520d7ea04263806

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T22:05:36.512521Z digest=sha256:8b85abb360ba95980055180d51c8997c6ab6d55189d72b1d4f08f8e6714aa8d2

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=sha256:692fa1902ea7f0020a596ecc6f7a790ced95afc5154c1deb8cc6e913355ddf20

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=sha256:255431b4ddb831268104024368a6ab41d055d9061356c5ed5c7ac975b98f3c7a

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:c950f6a864ee3251db8f6578c67e18bcae238df5879f948287b200f5da77e26e

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=sha256:56d3399dfa657615fd620d2a6f5ca60ff483c08f2278f2b3618e63ad2486f703

Pith citing papers

No inbound Pith citation observations are available.