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Paper Citation Record · LEDGER

Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1911.00568.

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

pith.paper-citation-record.v1
1911.00568 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:40:25.868236Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

45
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 624cf01e-e194-45bc-b4be-81590d53d5c3 · inbound

Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs cites this paper.

Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-10T11:40:25.868236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:40:25.868236Z digest=sha256:97813a1f1449ed2fd686b254d5130a3383e1298ebd78670bca1fbcca4dc3e74b

Observation 493383a3-1c4b-4ffc-99f3-75f0fa71ff32 · inbound

Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline cites this paper.

Examining the Expanding Role of Synthetic Data Throughout the AI Development Pipeline Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-09T23:21:02.413594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:21:02.413594Z digest=sha256:a83c34d0d0c622634907c4a7e37bdbf5f7811e2de93876e001b465123c098a51

Observation 978aaeff-1cc8-4dc0-87e2-35b52d18fa70 · inbound

NoteFlow: Recommending Charts as Sight Glasses for Tracing Data Flow in Computational Notebooks cites this paper.

NoteFlow: Recommending Charts as Sight Glasses for Tracing Data Flow in Computational Notebooks Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-09T12:34:38.897799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:34:38.897799Z digest=sha256:7e8a241cb04eb9ae3bebe9bc27d9a01446413803357a17ae7d4a058b8f79a1e1

Observation 42bfcfa0-4de0-4774-a73d-bb7ede378c5d · inbound

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks cites this paper.

Measurement as Bricolage: Examining How Data Scientists Construct Target Variables for Predictive Modeling Tasks Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

Reference 144

Resolution
unresolved
no resolver link, observed 2026-08-06T20:24:11.606858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:24:11.606858Z digest=sha256:548e113f84cbd560a212c6662a4ef356445d55a005665650d1fa1ddee38d7eb4

Observation 879f9fb9-1871-434b-a469-b9452c091c95 · inbound

Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science cites this paper.

Dirty Data in the Newsroom: Comparing Data Preparation in Journalism and Data Science Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:50:35.477682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T18:50:35.397822Z digest=sha256:4992bd02cc287c15a8830b8d68178813920e24cf9dd98c018a25978149dd7de0