Paper Citation Record · LEDGER

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A

As of 15 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 2 inbound Pith citation observations for arXiv:2412.12358.

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

pith.paper-citation-record.v1
2412.12358 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:11:57.625407Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T05:22:50.462331Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T05:24:31.805393Z

Reference resolution

11 of 11 outbound references displayed

verified exact0
verified fuzzy4
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 645d81d8-3d7a-4de0-a7fd-7bcd1a4db132 · outbound

This paper cites In: Faggioli, G., Ferro, N., Galusc \' a kov \' a , P., de Herrera, A.G.S.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A In: Faggioli, G., Ferro, N., Galusc \' a kov \' a , P., de Herrera, A.G.S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:57.981939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3395006-2f96-4b56-a67c-1ab85cc3f84e · outbound

This paper cites ACM Comput.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A ACM Comput

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:57.570390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0558da19-73e9-4ed9-9776-144b4e6577fc · outbound

This paper cites ACM Comput.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A ACM Comput

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:57.575923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e71a45-b37d-4a8e-a77c-8ad2197cbfe5 · outbound

This paper cites u ttler, H., Lewis, M., Yih, W.t., Rockt \.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A u ttler, H., Lewis, M., Yih, W.t., Rockt \

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:57.967322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0957e2a3-9099-44ec-95c1-e2cc96d1bf4b · outbound

This paper cites Intelligent Systems with Applications 15, 200091 (2022).

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A Intelligent Systems with Applications 15, 200091 (2022)

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T14:11:57.894837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f79277cd-ca1d-4734-8770-8b960c6f906d · outbound

This paper cites In: Goeuriot, L., Mulhem, P., Quénot, G., Schwab, D., Soulier, L., Maria Di Nunzio, G., Galuščáková, P., García Seco de Herrera, A., Faggioli, G., Ferro, N.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A In: Goeuriot, L., Mulhem, P., Quénot, G., Schwab, D., Soulier, L., Maria Di Nunzio, G., Galuščáková, P., García Seco de Herrera, A., Faggioli, G., Ferro, N

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:57.953559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1779f816-d273-437f-9fa4-949c65ba95fc · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:57.599485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14677de2-e8ed-49e1-83ae-67c96752a0ab · outbound

This paper cites In: Findings of the Association for Computational Linguistics: EMNLP 2021.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A In: Findings of the Association for Computational Linguistics: EMNLP 2021

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T14:11:57.940185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6d5c6837-3ecd-4295-8a78-fd97a632a896 · outbound

This paper cites an unresolved cited work.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T14:11:57.925456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c09f29eb-0115-42b2-bb73-92278fe640de · outbound

This paper cites , " * write output.state after.block = add.period write.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A , " * write output.state after.block = add.period write

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:57.618120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2dcd21c-5b48-4c23-8de3-acc0250c1cec · outbound

This paper cites write newline.

BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A write newline

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T14:11:57.625407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 489b31b0-ab4b-4214-b17b-50a6b9879f9e · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:57:37.995951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 720227c7-0ab6-4d8f-817d-e2fb1392be5c · inbound

From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b cites this paper.

From Voting to Agent Collaboration: Answer-Type-Aware LLM Pipelines for BioASQ 14b BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-08T05:24:31.806946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.