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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:05:35.711549Z digest=sha256:312d859985546caab33f7bc7b17896303c901ee4c88eb93669b5ad1d45491513

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:de571fce6ee4bba3fd72a365df1df4dc28d2290e23dd658924d9798cc3d478e6

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:d5417ad5459891738084812cb92b850112e00c97f1d3dd0bbc47c2a2eef0aa18

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:05:35.880022Z digest=sha256:bfcfbe6114b2c9c7ff32dd1e3afc31f3799c83b7d6a03da40feeb54ecef28dfd

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=sha256:5d85a085ecd689622f88f1540ce4daf89b017a266b1601bbd829f0e3211930da

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=sha256:12a247aaf763858456f59d65283ccbed95fe201a3b563ebc29533a664a959b96

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=sha256:0eebde861911e6a654cd704c29e4cdce49f7e4ae9671b0e9935582caf952f055

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:ca8a035fe020e8232683f1143a7bd9d0392ccab562a32e4e9c2ec99d32887ac4

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:d18d8f1147f24ee5b6b789633212656aa90caea994550743636a368a9f4f1432

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:05:36.512521Z digest=sha256:26428f912084e266b3e9502482378d5e0db5128446af359d1694bc3dc3d214aa

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=sha256:39c3d2080fb42c165e15dec039044a1665ee30b53bb35601ebab5f487366db63

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:e9a0821fa61a4455b7b47f4261a407f2c405a659c79866698f5d08f4b6c62f25

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=sha256:91b44bd3a8191f42f8c011bd21444fda8f5158108054bc6b5aaca6ec494a4ff4

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=sha256:9740634f37a66395a60252fe09146842859dcbd6de7c0ce054993a03abe60b94

Pith citing papers

No inbound Pith citation observations are available.