Paper Citation Record · LEDGER

Adaptive Retrieval Strategies for Biomedical Question Answering

As of 11 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2607.15283.

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

pith.paper-citation-record.v1
2607.15283 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T12:28:15.994840Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

5 of 5 outbound references displayed

verified exact0
verified fuzzy0
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b18b3c8c-82ca-4c9d-bcd1-4639fc013227 · outbound

This paper cites jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

Adaptive Retrieval Strategies for Biomedical Question Answering jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:28:15.784879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9694d0b-cebb-426b-9a4e-da1ddaead6b1 · outbound

This paper cites Making large language models a better foundation for dense retrieval.arXiv preprint arXiv:2312.15503, 2023.

Adaptive Retrieval Strategies for Biomedical Question Answering Making large language models a better foundation for dense retrieval.arXiv preprint arXiv:2312.15503, 2023

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T12:28:15.834750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0282e30a-9725-4555-9a7b-2a942338853a · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Adaptive Retrieval Strategies for Biomedical Question Answering M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T12:28:15.904753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33744196-d307-428b-82a0-72f926b8aba6 · outbound

This paper cites A comprehensive large-scale biomedical knowledge graph for ai-powered data-driven biomedical research.Nature Machine Intelligence, 2025.

Adaptive Retrieval Strategies for Biomedical Question Answering A comprehensive large-scale biomedical knowledge graph for ai-powered data-driven biomedical research.Nature Machine Intelligence, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T12:28:15.954756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18b00e9d-b1f6-4831-b2b0-0e58cfa5e3a6 · outbound

This paper cites GPT-4o System Card.

Adaptive Retrieval Strategies for Biomedical Question Answering GPT-4o System Card

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T12:28:15.994840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.