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Paper Citation Record · LEDGER

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process

As of 8 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:2607.10523.

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

pith.paper-citation-record.v1
2607.10523 v1

Coverage vector

measured 100 of 112 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:05:03.608751Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

100 of 112 outbound references displayed

  • verified exact12
  • verified fuzzy0
  • unresolved86
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 29aae4f8-4887-498d-b438-18af141ffdd1 · outbound

This paper cites More than data stories: Broadening the role of visualization in contemporary journalism,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process More than data stories: Broadening the role of visualization in contemporary journalism,

Reference 1

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Observation 4ce77948-8994-4c84-8777-3fe0828303ea · outbound

This paper cites The Persuasive Power of Data Visualization.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The Persuasive Power of Data Visualization

Reference 2

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Observation f533a6c3-8a6c-4ffa-b7cd-2acebf7a8f85 · outbound

This paper cites an unresolved cited work.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Unresolved cited work

Reference 3

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Observation a8262c2f-84cf-4cc6-9cab-7a2d378e6ddb · outbound

This paper cites Huff,How to Lie with Statistics.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Huff,How to Lie with Statistics

Reference 4

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Observation f80a0ef8-be72-4b3d-aa13-b4eadffbb315 · outbound

This paper cites Criado Perez,Invisible Women: Data Bias in a World Designed for Men.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Criado Perez,Invisible Women: Data Bias in a World Designed for Men

Reference 5

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Observation 57267437-f957-4bd9-af21-11c1908c3dba · outbound

This paper cites D’Ignazio and L.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process D’Ignazio and L

Reference 6

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:971a4f33dfed5380627cbd883c12f8e05f794d36e22b71e225fbbe038c8820af

Observation 5cb1f577-6601-400f-ab51-c0dcf2d2a111 · outbound

This paper cites Data feminism for AI,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Data feminism for AI,

Reference 7

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:4771201d0b1101b29b6d60571a065c8ec55f2141b03102cd0f4e38559ea1cee5

Observation 1382c3f1-7713-49bb-8059-cb5e76ca7c88 · outbound

This paper cites Narrative visualization: Telling stories with data,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Narrative visualization: Telling stories with data,

Reference 8

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Observation 78940582-24e4-49c3-832c-4c8e80f0af6c · outbound

This paper cites An Extensible Framework for Verification of Numerical Claims,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process An Extensible Framework for Verification of Numerical Claims,

Reference 9

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:df3cc73f45d5bbc64e4dc8c51dce1fc80c3ab4b32b0336fc08d79d0cb13dbb8e

Observation f96d5dc9-a2f2-47ae-9c63-d36af7dd6e9c · outbound

This paper cites “The Data Says Otherwise.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process “The Data Says Otherwise

Reference 10

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:cc84d338b842aa956e355f5d0901138688ffb811b2b4be1029d5b4ba5e623b0b

Observation d22b4587-4fb7-4d64-80fa-9bdeb6c687eb · outbound

This paper cites Few,Show Me the Numbers: Designing Tables and Graphs to Enlighten, 2nd ed.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Few,Show Me the Numbers: Designing Tables and Graphs to Enlighten, 2nd ed

Reference 11

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:555de4a0b6275ccf88097ae3e07304608560f7d388e3654daa4ace8d48211cfe

Observation dd00e8e8-69ef-4490-9fa5-674b24847407 · outbound

This paper cites Visualization rhetoric: Framing effects in narrative visualization,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Visualization rhetoric: Framing effects in narrative visualization,

Reference 12

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:591cd9e4e1ef9c64f2d92d0a0fd432c58ba1110983e52156c1f894a0390a19a5

Observation 6734912e-32d5-4d5f-a114-30eb803aad46 · outbound

This paper cites The evolving duet of two modalities: A survey on integrating text and visualization for data communication,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The evolving duet of two modalities: A survey on integrating text and visualization for data communication,

Reference 13

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:156ada0f2e7110d2e63d6ee02a08f3264f37ade94c835d12c0cbb281e27d4c5f

Observation 3554b596-910d-4ee2-bc79-07d27962a592 · outbound

This paper cites More Than Telling a Story: Transforming Data into Visually Shared Stories,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process More Than Telling a Story: Transforming Data into Visually Shared Stories,

Reference 14

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Observation 9f239553-634a-41d2-8835-469174f42253 · outbound

This paper cites Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Where Are We So Far? Understanding Data Storytelling Tools from the Perspective of Human-AI Collaboration,

Reference 15

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Observation 5da968f1-cfac-421c-bda8-2478d51b0348 · outbound

This paper cites Crossdata: Leveraging text-data connections for authoring data documents,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Crossdata: Leveraging text-data connections for authoring data documents,

Reference 16

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Observation e798a359-b7b9-4b71-80ee-7aa8752e339a · outbound

This paper cites Leveraging text-chart links to support authoring of data-driven articles with vizflow,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Leveraging text-chart links to support authoring of data-driven articles with vizflow,

Reference 17

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Observation 67d16d88-88b5-4600-9c80-e65bd4d6a092 · outbound

This paper cites DataWeaver: Authoring Data-Driven Narratives through the Integrated Composition of Visualization and Text,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process DataWeaver: Authoring Data-Driven Narratives through the Integrated Composition of Visualization and Text,

Reference 18

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:849e4de6b1f03ebd18fb40971b286af49c49d9d14b048231ef88622a3acd41b0

Observation dcf769a5-eaf3-4d2e-bd4c-cc43becae8b4 · outbound

This paper cites DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process DataTales: Investigating the use of Large Language Models for Authoring Data-Driven Articles,

Reference 19

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Observation a0cc68af-8fc8-4850-8ca6-e7f746007192 · outbound

This paper cites Chart-to-Text: A Large-Scale Benchmark for Chart Summarization,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Chart-to-Text: A Large-Scale Benchmark for Chart Summarization,

Reference 20

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Observation 484fed18-e71c-482d-ac47-13a74ae8c90b · outbound

This paper cites Campbell,Flaws and Fallacies in Statistical Thinking, ser.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Campbell,Flaws and Fallacies in Statistical Thinking, ser

Reference 21

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Observation 127438d8-38a9-4beb-892d-9c493de0f94a · outbound

This paper cites Cairo,How Charts Lie: Getting Smarter about Visual Information.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Cairo,How Charts Lie: Getting Smarter about Visual Information

Reference 22

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Observation 51e619cc-d7bb-4a00-8375-cf2043da2eac · outbound

This paper cites Surfacing visualization mirages,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Surfacing visualization mirages,

Reference 23

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Observation 707e8738-aa0a-4caf-a8a4-3217d5a683bf · outbound

This paper cites Misinformed by Visualization: What Do We Learn From Misinformative Visualizations?.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Misinformed by Visualization: What Do We Learn From Misinformative Visualizations?

Reference 24

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Observation fc4a1d73-c353-4bfe-b750-4c1d9d6ef27d · outbound

This paper cites Computational Fact Checking through Query Perturbations,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Computational Fact Checking through Query Perturbations,

Reference 25

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Observation 37c42c4d-0c0a-4ba9-b589-b8cf5b2e9314 · outbound

This paper cites Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Accessible Visualization via Natural Language Descriptions: A Four-Level Model of Semantic Content,

Reference 26

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Observation b77fe3fd-0be7-4c54-ad40-c876d81ee78d · outbound

This paper cites From Instruction to Insight: Exploring the Functional and Semantic Roles of Text in Interactive Dashboards,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process From Instruction to Insight: Exploring the Functional and Semantic Roles of Text in Interactive Dashboards,

Reference 27

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Observation 1d7f2cc2-dd51-400d-b673-6a8ebd82b3fd · outbound

This paper cites Encoding/decoding,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Encoding/decoding,

Reference 28

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Observation 1b91ba00-8dc5-41d4-a206-0a49885f3171 · outbound

This paper cites Statistical errors in medical research - a review of common pitfalls,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Statistical errors in medical research - a review of common pitfalls,

Reference 29

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Observation 23a2baf7-1705-4b86-9896-a6c34bb5759a · outbound

This paper cites How often should you clean your room?.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process How often should you clean your room?

Reference 30

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation f64ecdcf-07d5-4e08-8d62-385d1591922a · outbound

This paper cites How not to lie with visualization,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process How not to lie with visualization,

Reference 31

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Observation 6b1abfef-5988-4f15-b2fa-6e5f3f3af11b · outbound

This paper cites an unresolved cited work.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Unresolved cited work

Reference 32

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Observation 326a37ea-1ab5-40b1-a11d-19c6a006b55b · outbound

This paper cites Vislies,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Vislies,

Reference 33

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Observation 70c5b6f2-0f20-4575-a4ff-431d582acc26 · outbound

This paper cites How deceptive are deceptive visualizations? an empirical analysis of common distortion techniques,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process How deceptive are deceptive visualizations? an empirical analysis of common distortion techniques,

Reference 34

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Observation f93c7d80-9769-484c-8fe7-5bdfc70b456c · outbound

This paper cites “I Came Across a Junk.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process “I Came Across a Junk

Reference 35

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Observation ee5d0a9e-638f-4993-a263-6e8547b45bfb · outbound

This paper cites Truncating the Y-Axis: Threat or Menace?.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Truncating the Y-Axis: Threat or Menace?

Reference 36

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 417d69b4-093e-4e4d-9dcb-6ea5ea4aee77 · outbound

This paper cites Illusion of Causality in Visualized Data,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Illusion of Causality in Visualized Data,

Reference 37

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Observation ddbb37f3-a2f8-4db2-a6bd-669dc5cbe222 · outbound

This paper cites Dispersion Vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Dispersion Vs Disparity: Hiding Variability Can Encourage Stereotyping When Visualizing Social Outcomes,

Reference 38

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Observation 5f09bdc8-2435-4b52-a4e9-a0bab3b44c59 · outbound

This paper cites Misleading Beyond Visual Tricks: How People Actually Lie with Charts,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Misleading Beyond Visual Tricks: How People Actually Lie with Charts,

Reference 39

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Observation 6709e02a-d4d9-4485-a570-4aa657931a12 · outbound

This paper cites CALVI: Critical Thinking Assessment for Literacy in Visualizations,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process CALVI: Critical Thinking Assessment for Literacy in Visualizations,

Reference 40

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Observation 06254cc1-0105-475b-b1a1-6dc334e796d3 · outbound

This paper cites V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process V-FRAMER: Visualization Framework for Mitigating Reasoning Errors in Public Policy,

Reference 41

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Observation 73bb62c4-7e73-4ac2-9b13-73da90cca42c · outbound

This paper cites Beyond Memorability: Visualiza- tion Recognition and Recall,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Beyond Memorability: Visualiza- tion Recognition and Recall,

Reference 42

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Observation eb422c47-736c-4d04-8bf5-121b979819fd · outbound

This paper cites Frames and Slants in Titles of Visualizations on Controversial Topics,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Frames and Slants in Titles of Visualizations on Controversial Topics,

Reference 43

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Observation 463570bd-0eda-43b3-8ae1-5ddf70d3d9f2 · outbound

This paper cites Trust and recall of information across varying degrees of title-visualization misalignment,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Trust and recall of information across varying degrees of title-visualization misalignment,

Reference 44

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Observation f6f7275e-6450-4e74-b3e9-f8cbba240f21 · outbound

This paper cites Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text,

Reference 45

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:d3ac4284efe476b58582235784949911ec9932fd9d2abda9b5c8329d160f710d

Observation a782e3ec-1a91-4a9b-8f55-66781c0702e2 · outbound

This paper cites What Is the Difference Between a Mountain and a Molehill? Quantifying Semantic Labeling of Visual Features in Line Charts,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process What Is the Difference Between a Mountain and a Molehill? Quantifying Semantic Labeling of Visual Features in Line Charts,

Reference 46

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Observation 1a11542d-cb66-4e7f-9013-37d45c453213 · outbound

This paper cites A survey on automated fact-checking,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process A survey on automated fact-checking,

Reference 47

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Observation c50c9161-f99a-4923-9a8e-a9fcc9cd6569 · outbound

This paper cites Automated fact-checking for assisting human fact-checkers,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Automated fact-checking for assisting human fact-checkers,

Reference 48

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Observation bbba643f-8c49-4e1b-b83a-bb8e193dcd56 · outbound

This paper cites QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims,

Reference 49

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Observation 6046f6ea-15c8-4b17-acf6-cbed74ba8f77 · outbound

This paper cites ChartCheck: Explainable Fact-Checking over Real-World Chart Images.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process ChartCheck: Explainable Fact-Checking over Real-World Chart Images

Reference 50

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Observation 48fa84ed-5803-4411-b1f0-a6e0fa441faf · outbound

This paper cites Verifying text summaries of relational data sets,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Verifying text summaries of relational data sets,

Reference 51

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Observation 13cd0e59-2e35-44d0-ab8f-cc3c5eb54be1 · outbound

This paper cites Scrutinizer: A mixed-initiative approach to large-scale, data-driven claim verification,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Scrutinizer: A mixed-initiative approach to large-scale, data-driven claim verification,

Reference 52

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Observation 65b6d560-4ef2-4ec6-9b68-3d646538fdf0 · outbound

This paper cites VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process VisuaLint: Sketchy In Situ Annotations of Chart Construction Errors,

Reference 53

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Observation fd192320-7f24-4ab7-903a-cf2cc90ce1fb · outbound

This paper cites VizLinter: A Linter and Fixer Framework for Data Visualization,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process VizLinter: A Linter and Fixer Framework for Data Visualization,

Reference 54

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Observation 931c8d1b-54d6-476a-8ba4-9a78c20ad8ff · outbound

This paper cites Annotating line charts for addressing deception,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Annotating line charts for addressing deception,

Reference 55

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Observation fd8aeca2-1dc4-4c8f-814c-e6700a18d4e0 · outbound

This paper cites EMPHASIS- CHECKER: A Tool for Guiding Chart and Caption Emphasis,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process EMPHASIS- CHECKER: A Tool for Guiding Chart and Caption Emphasis,

Reference 56

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Observation 1aa5f28d-759b-48ae-8fbc-ddedfb2c7f6a · outbound

This paper cites SlopeSeeker: A Search Tool for Exploring a Dataset of Quantifiable Trends.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process SlopeSeeker: A Search Tool for Exploring a Dataset of Quantifiable Trends

Reference 57

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Observation c9660db7-682e-4a54-b390-72f3648e6532 · outbound

This paper cites Three approaches to qualitative content analysis,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Three approaches to qualitative content analysis,

Reference 58

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Observation 5536e51c-5c7a-4cda-a4dc-0b1494662ea1 · outbound

This paper cites The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,

Reference 59

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Observation f4812fc5-3fa6-4ba7-a4ba-af71d5d2bd76 · outbound

This paper cites Guidelines for snowballing in systematic literature studies and a replication in software engineering,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Guidelines for snowballing in systematic literature studies and a replication in software engineering,

Reference 60

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Observation 94a5894f-2066-49ac-8a40-c443e8ea38ad · outbound

This paper cites Methods for the thematic synthesis of qualitative research in systematic reviews,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Methods for the thematic synthesis of qualitative research in systematic reviews,

Reference 61

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Observation b7186631-e940-4aa2-9b12-3f0ac732bee0 · outbound

This paper cites “liar, liar pants on fire.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process “liar, liar pants on fire

Reference 62

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:a9f0442a17e7051bc4290be0d6578a83c4d3a35688ad851be5a2e70adf177174

Observation fa7ad45d-91a4-4db3-a56d-c1db4e60364b · outbound

This paper cites FEVER: a large-scale dataset for fact extraction and VERification,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process FEVER: a large-scale dataset for fact extraction and VERification,

Reference 63

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Observation 860bb98e-d2af-4c46-9add-f61beeffd92f · outbound

This paper cites Multifc: A real-world multi- domain dataset for evidence-based fact checking of claims,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Multifc: A real-world multi- domain dataset for evidence-based fact checking of claims,

Reference 64

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Observation 6e460e30-81c5-4ddf-9a56-de58c183b608 · outbound

This paper cites ClaimBuster: A Benchmark Dataset of Check-worthy Factual Claims,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process ClaimBuster: A Benchmark Dataset of Check-worthy Factual Claims,

Reference 65

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:6593b35f8d4bb04518d7cd40b9f68af79d7f0e237d4284eb68927e1a5e591a2c

Observation abbe83e3-2619-455b-8d74-20042c182e34 · outbound

This paper cites Fact Check Tools API — Google for Developers,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Fact Check Tools API — Google for Developers,

Reference 66

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Observation 5a611532-ee62-4b2d-a3af-4327229e1d5b · outbound

This paper cites Available: https://developers.google.com/fact-check/ tools/api/reference/rest.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Available: https://developers.google.com/fact-check/ tools/api/reference/rest

Reference 67

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Observation f0a6ab20-ee91-47bc-b1b2-3423c9057ce0 · outbound

This paper cites [Online].

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process [Online]

Reference 68

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Observation 21f3cc75-7d06-4499-a6db-c4367cdc87ef · outbound

This paper cites [Online].

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process [Online]

Reference 69

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:47892e149cbcb8a8ef23084b49d05162a6d70c30cf6b4d83e773ae1130b52474

Observation ff1b3352-81a4-462a-99ba-432d8e5c1295 · outbound

This paper cites Visual narratives to edutain against misleading visualizations in healthcare,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Visual narratives to edutain against misleading visualizations in healthcare,

Reference 70

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Observation 2699f1d5-cab9-48ce-bc43-bf9983f87cf6 · outbound

This paper cites Can GPT-4 Models Detect Misleading Visualizations?.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Can GPT-4 Models Detect Misleading Visualizations?

Reference 71

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Observation 59f03e22-bacf-4818-bfdb-f61eba0c5ea8 · outbound

This paper cites Finding, monitoring, and checking claims computationally based on structured data,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Finding, monitoring, and checking claims computationally based on structured data,

Reference 72

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Observation dbe85163-425e-48a0-96f3-2f18535b35b0 · outbound

This paper cites Typology of Analytical and Interpretational Errors in Quantitative and Qualitative Educational Research,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Typology of Analytical and Interpretational Errors in Quantitative and Qualitative Educational Research,

Reference 73

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Observation 278c684f-ea88-4454-97f7-4539cd7ee253 · outbound

This paper cites What is research data “misuse.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process What is research data “misuse

Reference 74

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:d6feded16f98a085c4f018bb02ca47becbdd5e2d4de3e8467d5c22ce84b17145

Observation eb6fd79c-2493-4977-8430-f06c0460e8cb · outbound

This paper cites The Deceptive Potential of Common Design Tactics Used in Data Visualizations,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The Deceptive Potential of Common Design Tactics Used in Data Visualizations,

Reference 75

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Observation 42b506f8-7589-4823-97f1-1cef21cd8496 · outbound

This paper cites Available: https://doi.org/10.1145/3380851.3416762.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Available: https://doi.org/10.1145/3380851.3416762

Reference 76

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d9ef2693-d6b9-4346-bf04-d27ede7ea208 · outbound

This paper cites Revisiting common pitfalls in graphical representations utilizing a case-based learning approach,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Revisiting common pitfalls in graphical representations utilizing a case-based learning approach,

Reference 77

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 71c43655-ea43-46b4-ac25-193f94ccd6bf · outbound

This paper cites The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them),.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The good, the bad, and the biased: five ways visualizations can mislead (and how to fix them),

Reference 78

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 81f699d9-1f06-418b-b55c-8e32a88fb06f · outbound

This paper cites Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication,

Reference 79

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Observation 8b91c618-b2f3-44e3-9103-092b4868258f · outbound

This paper cites Misrepresenting COVID-19: Lying With Charts During the Second Golden Age of Data Design,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Misrepresenting COVID-19: Lying With Charts During the Second Golden Age of Data Design,

Reference 80

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:66089fb27bf0e3dca9b82149a115cda68e9310b54991d745e6f803a50f87f372

Observation b1ca70ce-2ba5-410f-b7a6-fcd35eb8a669 · outbound

This paper cites In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process In Dice We Trust: Uncertainty Displays for Maintaining Trust in Election Forecasts Over Time,

Reference 81

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Observation 3d3d8259-1b7d-4dde-b09c-b2210530ee39 · outbound

This paper cites VisText: A Benchmark for Semantically Rich Chart Captioning,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process VisText: A Benchmark for Semantically Rich Chart Captioning,

Reference 82

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Observation 40dd2798-db32-43d6-a424-b0094d0ae5bf · outbound

This paper cites Identification and Verification of Simple Claims about Statistical Properties,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Identification and Verification of Simple Claims about Statistical Properties,

Reference 83

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Observation 37d7fbfb-74c8-4e06-83f9-e231a0ad7caa · outbound

This paper cites ”Yeah, this graph doesn’t show that.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process ”Yeah, this graph doesn’t show that

Reference 84

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:1a4b0cb153d75f81757431c4e71ab4ebbabc2d782a3e9bce217ce06060e3ee2f

Observation 84f77067-67b3-437c-b192-311c1edad6b5 · outbound

This paper cites Kernighan,Millions, Billions, Zillions: Defending Yourself in a World of Too Many Numbers.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Kernighan,Millions, Billions, Zillions: Defending Yourself in a World of Too Many Numbers

Reference 85

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:46c5a18a07864535c9698e084a5a38599eaad97c98152a2d3a1078cbe9f9f4e7

Observation d61938ac-8426-4f1b-88fb-0a5bbb3b6d3e · outbound

This paper cites A Task-Based Taxonomy of Cognitive Biases for Information Visual- ization,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process A Task-Based Taxonomy of Cognitive Biases for Information Visual- ization,

Reference 86

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:1a532314b88f6b42f60fc22baad4591d2a1cc368a4a8618b3a75db4e4bf4277e

Observation 08c46bca-2b64-4e82-8612-d547dd995f99 · outbound

This paper cites The Science of Visual Data Communication: What Works,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The Science of Visual Data Communication: What Works,

Reference 87

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Observation 69452621-bbee-4d2d-913e-494441d903b5 · outbound

This paper cites Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online,

Reference 88

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Observation 307b6822-388f-4311-8abb-20dc349388e9 · outbound

This paper cites Data is personal: Attitudes and perceptions of data visualization in rural pennsylvania,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Data is personal: Attitudes and perceptions of data visualization in rural pennsylvania,

Reference 89

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Observation a11e34cb-e5b7-4112-8176-bdf8c467b7d4 · outbound

This paper cites Decision making with visualizations: a cognitive framework across disciplines,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Decision making with visualizations: a cognitive framework across disciplines,

Reference 90

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correction dated 2018-08-28. Source: crossref record 10.1186/s41235-018-0126-3->10.1186/s41235-018-0120-9:correction, observed 2026-07-11T03:02:35.14847+00:00. This notice travels one citation hop only.

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Observation 465f1fbe-579b-480c-8814-a5ec92ed73e9 · outbound

This paper cites Ensemble perception and focused attention: Two different modes of visual processing to cope with limited capacity,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Ensemble perception and focused attention: Two different modes of visual processing to cope with limited capacity,

Reference 91

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Observation 3ae85f66-0186-4da4-b865-8e7ddd1ffe8f · outbound

This paper cites The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The Weighted Average Illusion: Biases in Perceived Mean Position in Scatterplots,

Reference 92

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Observation 062a7918-8301-4288-bba0-20f7f9400637 · outbound

This paper cites Priming and Anchoring Effects in Visualization,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Priming and Anchoring Effects in Visualization,

Reference 93

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:40bd3f02bb5227889eefe0478054f4b5332c0192d0e9bd83ef99254e63108b7f

Observation 4eff55de-322e-4aff-9aad-2e6df6bf6acf · outbound

This paper cites Judgment under Uncertainty: Heuristics and Biases,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Judgment under Uncertainty: Heuristics and Biases,

Reference 94

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:2a63ac2e12f256a574b19c4e5313d2bd44e78b65ade218b344bdb1a08888ac33

Observation 9cd5725d-1c7e-4ad3-9522-f36d00cac886 · outbound

This paper cites Available: https://www.jstor.org/stable/1738360.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Available: https://www.jstor.org/stable/1738360

Reference 95

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:16e5308e970ec45f2c4dd22f032bc5c8d586d76f6e1032feb22ecf15b46f5a7e

Observation 560ffa2d-2620-4803-957f-deb86938bb3c · outbound

This paper cites On the conflict between logic and belief in syllogistic reasoning,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process On the conflict between logic and belief in syllogistic reasoning,

Reference 96

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:5fb9bca5273fc2b7463fd81ad77a7bc058c54ca7ea890c6c0392159ccb6441b7

Observation 8c0d6eda-cd78-4d91-b767-8bc2d4302836 · outbound

This paper cites an unresolved cited work.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Unresolved cited work

Reference 97

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:0a0529a974a76479bbadee3938db83cecc97baf867fa3322347b65490d194c8c

Observation 30ab9081-8a0d-4e0d-be71-303c0e785f95 · outbound

This paper cites The Truth and Lies Behind the Infamous “Blood Graph.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process The Truth and Lies Behind the Infamous “Blood Graph

Reference 98

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:cdbcb706144da7e237770ba8597b0522f9c80db431e384c81c62981aa58d773b

Observation be21cec5-1a09-4c2c-aa9c-71e3352eec34 · outbound

This paper cites Ethos, pathos and logos in Aristotle’s Rhetoric: A re-examination,.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Ethos, pathos and logos in Aristotle’s Rhetoric: A re-examination,

Reference 99

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source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:91d9d56a51d46863ecefa068dac94c3a0ae8095fba55c2d4dd9dbdf4d17dc16d

Observation b8d06b96-f903-40f9-b5d8-eae5c5dd9260 · outbound

This paper cites Available: https://doi.org/10.1007/BF00154696.

How Data Narratives Go Wrong: A Taxonomy of Issues Across the Data Communication Process Available: https://doi.org/10.1007/BF00154696

Reference 100

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-14T11:05:03.608751Z digest=sha256:ddfbff694b39801777b4705842778ba70a0c6359c2fb6f59d7fbc2b6038ca479

Pith citing papers

No inbound Pith citation observations are available.