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Researcher Evidence Record

Birgitta K\"onig-Ries

This bounded record lists 14 Pith paper rows and 0 imported work rows attributed to this corpus identity. The enumerated, non-disputed paper rows include cs.IR, cs.CV, cs.CL work dated 2020 to 2025. The record describes sources and coverage; it makes no judgment about the person.

Compiled coverage vector

Measured lane counts only. Not a trust score or person verdict.

Enumerated paper scope: 7 fields (cs.IR, cs.CV, cs.CL, +4 more) · 2020-2025 sources: authors, author_identifiers · paper_authors · author_works · current_verdicts · cited_works

A sourced case file for attributed work. It is neither a profile score nor a verdict about this researcher.

Attributed works

A bounded ledger from the Pith paper and imported-work queries. Counts and source confidence stay with each work.

  1. 2025 Pith paper

    A Framework for FAIR and CLEAR Ecological Data and Knowledge: Semantic Units for Synthesis and Causal Modelling

    cs.DB provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    • 0 external cited by from arxiv_reference
    • 1 pith inbound references from cited_work_pith_inbound_counts
  2. 2024 Pith paper

    Explainability of Deep Learning-Based Plant Disease Classifiers Through Automated Concept Identification

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  3. 2024 Pith paper

    GerPS-Compare: Comparing NER methods for legal norm analysis

    cs.CL provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    7
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  4. 2024 Pith paper

    Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications

    cs.IR provisional current review present

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: a current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  5. 2024 Pith paper

    Enhancing Explainability in Multimodal Large Language Models Using Ontological Context

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  6. 2024 Pith paper

    Evaluating the method reproducibility of deep learning models in the biodiversity domain

    cs.IR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  7. 2024 Pith paper

    From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

    cs.CL provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 44 external cited by from arxiv_reference
    • 7 pith inbound references from cited_work_pith_inbound_counts
  8. 2023 Pith paper

    Reproducible Domain-Specific Knowledge Graphs in the Life Sciences: a Systematic Literature Review

    cs.IR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 0 external cited by from arxiv_reference
    • 1 pith inbound references from cited_work_pith_inbound_counts
  9. 2023 Pith paper

    Concept explainability for plant diseases classification

    cs.CV provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  10. 2022 Pith paper

    Toward a Framework for Integrative, FAIR, and Reproducible Management of Data on the Dynamic Balance of Microbial Communities

    cs.DB provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    8
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  11. 2020 Pith paper

    Machine Learning Pipelines: Provenance, Reproducibility and FAIR Data Principles

    cs.LG provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  12. 2020 Pith paper

    ReproduceMeGit: A Visualization Tool for Analyzing Reproducibility of Jupyter Notebooks

    cs.CY provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    • 1 pith inbound references from cited_work_pith_inbound_counts
  13. 2020 Pith paper

    Towards Building Knowledge by Merging Multiple Ontologies with CoMerger: A Partitioning-based Approach

    cs.AI provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    2
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.
  14. 2020 Pith paper

    Dataset Search In Biodiversity Research: Do Metadata In Data Repositories Reflect Scholarly Information Needs?

    cs.IR provisional measured, no current review

    Sources and evidence
    Authorship source
    arxiv_oai
    Printed name
    Birgitta K\"onig-Ries
    Author position
    3
    Identity state
    provisional
    Source confidence
    0.7
    Review coverage
    Measured: no current Pith review exists.
    Citation counts
    No source count is attached to this work row.

Evidence apparatus

The machinery behind this record. Every lane states whether Pith measured it, did not query it, could not reach it, or withheld it.

LaneStateObservedBoundary and source
identity Measured 2 Canonical identity row plus public typed identifiers.
source=authors, author_identifiers
papers Measured 14 of 14 bounded rows Rows attributed to this author UUID in the Pith corpus.
source=paper_authors
works Measured zero 0 of 0 bounded rows Imported works not duplicated by the paper ledger.
source=author_works
reviews Measured 3 of 14 bounded rows Coverage count only. No review outcome is projected onto the person.
source=current_verdicts
citations Measured 6 of 14 bounded rows Counts remain itemized by work and source.
source=cited_works
coauthors Measured 29 of 14 bounded rows Shared-work edges from admitted paper rows.
source=paper_authors
account Unavailable No public count of 1 bounded rows Account metadata is separate from corpus evidence.
source=users.author_id
Public identity sources
  • name variant
    Birgitta K\"onig-Ries
    backfill
    confidence 0.6
Enumerated research scope

Fields and dates come only from enumerated, non-disputed Pith paper rows. They do not claim career completeness.

  • cs.IR4 rows
  • cs.CV3 rows
  • cs.CL2 rows
  • cs.DB2 rows
  • cs.AI1 rows
  • cs.CY1 rows
  • cs.LG1 rows
  • 20204 rows
  • 20221 rows
  • 20232 rows
  • 20246 rows
  • 20251 rows
Shared-work index
Record scope

The work queries are bounded. Missing rows may mean measured zero, an unavailable source, a query that did not run, or private data that Pith withheld. The lane table keeps those cases separate.

Paper findings remain attached to papers. They do not become findings about this researcher.