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Paper Citation Record · LEDGER

Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.16164.

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

pith.paper-citation-record.v1
2310.16164 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:49:05.360246Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:03:24.625557Z

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 149b0fa9-52d4-4092-9d42-48653a7d9f24 · inbound

Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks cites this paper.

Understanding the Human-LLM Dynamic: A Literature Survey of LLM Use in Programming Tasks Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:03:24.629076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T19:58:28.103216Z digest=sha256:af5654199617d68e640d6792155cacca9e514df22fa340f34c825ca9df3aa5cf

Observation 4c58e4ed-cb10-4638-82d7-2798e0263fd2 · inbound

DataLab: A Unified Platform for LLM-Powered Business Intelligence cites this paper.

DataLab: A Unified Platform for LLM-Powered Business Intelligence Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T23:49:05.360246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:49:05.360246Z digest=sha256:054069c16abddc5d239f313f31f00d80198d313d3634e04a5a6d9735f1c5f2a8

Observation e6a1f607-4fc5-4dff-8ae1-cf89ea587dd3 · inbound

Effective LLM-Driven Code Generation with Pythoness cites this paper.

Effective LLM-Driven Code Generation with Pythoness Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T22:16:43.558392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:16:43.558392Z digest=sha256:1ac637fe5c7f68b205a7c97e786a6439d9cd6cdcb47333672f08aeeed0963375

Observation 012286cf-31e9-47ad-93b0-a1293be350c4 · inbound

Representing Visualization Insights as a Dense Insight Network cites this paper.

Representing Visualization Insights as a Dense Insight Network Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T16:19:58.910028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:19:58.910028Z digest=sha256:421cea73fc51a77492faa7113bba7aa1f7333e2b4b907296921ca0f2a5378c54

Observation 52935a9a-a35e-43f6-bfbf-fe60512f7485 · inbound

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications cites this paper.

A Comprehensive Survey of Deep Research: Systems, Methodologies, and Applications Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T00:48:13.105520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:48:13.105520Z digest=sha256:218232b7b06bc90afa910e38cd8dfb3a91d573907fb5668247b5345c35477a77

Observation 2e10be10-97ee-4381-b2e0-a8c18d11bc2f · inbound

Omakase: proactive assistance with actionable suggestions for evolving scientific research projects cites this paper.

Omakase: proactive assistance with actionable suggestions for evolving scientific research projects Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:21:01.587942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T18:10:45.755619Z digest=sha256:1999b817986a35dd6d082cdbe6ef28e4ea361b389f39d29cec0dda7fee74df31

Observation b7433c8e-0f7a-45e4-9327-a6c48c0f089d · inbound

IntentLint: Supporting Intent Scaffolding and Prompt-time Linting in Human-AI Collaborative Data Analysis cites this paper.

IntentLint: Supporting Intent Scaffolding and Prompt-time Linting in Human-AI Collaborative Data Analysis Conversational Challenges in AI-Powered Data Science: Obstacles, Needs, and Design Opportunities

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T19:39:16.147871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:39:16.147871Z digest=sha256:186c0dd8e1d1e04437ff9d1a028ea86cf86aee3211dce9b1adaec165945a5636