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Paper Citation Record · LEDGER

BioRAG: A RAG-LLM Framework for Biological Question Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2408.01107.

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

pith.paper-citation-record.v1
2408.01107 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:00.094950Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.374259Z

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 e5c98889-3f8e-4a57-a5b7-a488725f72f6 · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 157

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:35:43.912742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T17:33:13.394338Z digest=sha256:f5739f094977bac5e18b943f79a2f794f45fe9648248076baa13b69d0376155c

Observation b4a09ac4-2630-4c26-b3bf-9d16b8c3052b · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 211

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.610613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:8313dde60aa61e94f91a0bb75d03797680e7f1dc272a04e4c461b394a791e7ce

Observation 0cd6048d-4d50-4e03-a55f-32a9c9f37558 · inbound

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients cites this paper.

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:16:00.094950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:16:00.094950Z digest=sha256:242aad6d87f763ce2c3eaa8b208d7de5baec1e633f0b6e7929001e556a90a514

Observation 159cc53f-a6a5-4ab0-ac7f-210b7570ae62 · inbound

BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experiments cites this paper.

BioMARS: A Multi-Agent Robotic System for Autonomous Biological Experiments BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T20:54:00.252426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:54:00.252426Z digest=sha256:d3893852dbab7eb83d8ad815b6369060db63d156b4bd491f93564320a7394d2c

Observation e19df8b5-fec9-449a-ba95-322cabd363bf · inbound

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection cites this paper.

Understanding Structured Financial Data with LLMs: A Case Study on Fraud Detection BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:01:17.946623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T21:59:13.588901Z digest=sha256:50a88133a82d46577d816605df202488995e26287e4d4b45682ff81d5f36f11f

Observation 06dd5a32-e863-42d3-845e-5fa3b94eee0f · inbound

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding cites this paper.

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-25T07:05:26.493259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T07:05:21.138206Z digest=sha256:ed4e0572a05aae87a6326be45fe93bceabac3659cbc9c15a7e4f184b05d28a9b

Observation 9ffbbbd1-d7be-47a1-9b8a-7bd1287a3c31 · inbound

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding cites this paper.

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-03T09:44:03.078094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:44:03.078094Z digest=sha256:f4c0593be1ef1f8f66d90b88945ff385391631289df157812853603fa47e8ece

Observation 95d89069-adf2-45d5-8209-e6406d03eaec · inbound

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models cites this paper.

Knowledge Is Not Static: Order-Aware Hypergraph RAG for Language Models BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:00:59.733511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:20:31.981340Z digest=sha256:80f8c1b0bca73e5b7860bb1a5c140cc1a6fe4cf1dfea9fd9307305066aa560d7

Observation 1b74371e-399c-4ed0-a300-33f6901834ec · inbound

Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs cites this paper.

Leveraging LLM-GNN Integration for Open-World Question Answering over Knowledge Graphs BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T13:25:26.710882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:20:48.652042Z digest=sha256:ebad8b0299caa5ca9b2a048f476be97cf5a3c2bbf86d89e369721c805eaaa07e

Observation ba42d878-ac0f-410d-ba52-a27f837a4651 · inbound

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification cites this paper.

CuraView: A Multi-Agent Framework for Medical Hallucination Detection with GraphRAG-Enhanced Knowledge Verification BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:56:30.617784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T04:07:33.610288Z digest=sha256:797d511a777a13089ecbce7eaed464502cf64d37f796e6178c6b5824d8b7ad91

Observation 8faed96c-0afc-49d2-a6c7-62c41ff54030 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 258

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.268550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:f3171a3fed74dae01abfd29b917fce38c360b327afff782e38ab4f4b9a25efe4

Observation 9bca44b9-befe-4964-9865-2f6d62007ef0 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 258

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.264331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:6679248e59cbd6ce8279c6a96d14796e5281e1f2638ba5d4c361a60a8f76d785

Observation 9bd52e72-321a-4c93-acae-f7ff851ff7aa · inbound

HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support cites this paper.

HPC-LLM: Practical Domain Adaptation and Retrieval-Augmented Generation for HPC Support BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:29:09.385153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T22:27:03.128590Z digest=sha256:00e59586e34e52f2b4e451fe129c56032f315a97744521c6329656f921ce2dce

Observation 842076c8-b536-42c8-8c5f-545f42e64526 · inbound

BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases cites this paper.

BioHarness: Substrate-Aware Evidence Assembly for Biomedical Question Answering across Literature, Knowledge Bases, and Biological Atlases BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:09:28.898615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T18:34:09.474000Z digest=sha256:c73950fe08ed5acc0117eb371681def38d17088d2dc294dd74d07fc27a59969d

Observation b6357680-cb24-4956-8d35-7135df088a7f · inbound

ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery cites this paper.

ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discovery BioRAG: A RAG-LLM Framework for Biological Question Reasoning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:42.376091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T11:09:36.868166Z digest=sha256:5095f323730f60c44144ca9627df80972b8888ee6c2b6e19f732a0b67b2349e8