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Paper Citation Record · LEDGER

AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2501.06607.

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

pith.paper-citation-record.v1
2501.06607 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:15:55.081265Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c2b440a-40bc-4177-8cb1-f171f6c4d836 · inbound

SakugaFlow: A Stagewise Illustration Framework Emulating the Human Drawing Process and Providing Interactive Tutoring for Novice Drawing Skills cites this paper.

SakugaFlow: A Stagewise Illustration Framework Emulating the Human Drawing Process and Providing Interactive Tutoring for Novice Drawing Skills AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:55.081265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:55.081265Z digest=sha256:38f3dd941f39d17f60c631710cda3170f608bbefa69bf01571e7a4810c5e99ea

Observation 066adefa-a955-4013-89b7-d6f36d5f9819 · inbound

Who Decides How Knowing Becomes Doing? Redistributing Authority in Human-AI Music Co-Creation cites this paper.

Who Decides How Knowing Becomes Doing? Redistributing Authority in Human-AI Music Co-Creation AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T17:56:42.595231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:56:42.595231Z digest=sha256:244b57a2d9a643a7b9f648be5048a1122d9a408fa985f7f9c549e6f0904456a9

Observation 5a9ccebd-b995-455e-b0cd-e29dafdba100 · inbound

Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation cites this paper.

Interaction-Centered Intelligence: Toward an Interaction-Based Theory of Human-AI Co-Creation AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:42:28.537961Z

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=2026-06-28T18:36:44.842939Z digest=sha256:df60f622c995ec6bf2fcd2d6ab6f558cb40b4c07615282415f074ee902c75352

Observation 34f7faa1-905d-4e29-a58d-220a9f5841a9 · inbound

The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal Dialogue cites this paper.

The Image Reconstruction Game: Drawing Common Ground Through Iterative Multimodal Dialogue AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-28T15:52:21.709155Z

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=arxiv_source observed=2026-06-28T15:44:25.797439Z digest=sha256:a8d611974cabe2bd8c095ff745a554596133f842b841b9a578914dc30a14851a

Observation d0f7d800-5641-4a3a-8712-9be19e2f72aa · inbound

Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories cites this paper.

Cognitive Trajectory Modeling: Quantifying Human-AI Co-Creation through Cognitively Grounded Interaction Trajectories AI Drawing Partner: Co-Creative Drawing Agent and Research Platform to Model Co-Creation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:28:44.212239Z

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=2026-06-27T04:12:57.152963Z digest=sha256:9b7116c8ec14b174990c73efdd2f29c52e2053237a555644f020cfd4f5db128e