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Paper Citation Record · LEDGER

Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.16561.

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

pith.paper-citation-record.v1
2409.16561 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:11:47.401613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:11:11.841135Z

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 be7304e7-6c29-4411-a2a9-dfd130acfa49 · inbound

VideoDiff: Human-AI Video Co-Creation with Alternatives cites this paper.

VideoDiff: Human-AI Video Co-Creation with Alternatives Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T19:06:40.606360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:06:40.606360Z digest=sha256:f4dcecfcba934a21565c4c69be74c9b0de601e42200eb355f59e31d5a6fdad89

Observation 76333770-fd36-45dd-94a2-0f5558b49be2 · inbound

DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition cites this paper.

DxHF: Providing High-Quality Human Feedback for LLM Alignment via Interactive Decomposition Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T18:11:47.401613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:11:47.401613Z digest=sha256:f6bbf618a4f92bee8ea80ffd5e439ad166a1d6f790453a9ddc3ff077ce58d99a

Observation 7e9adaad-47ec-4d58-8010-62969aedb3dd · inbound

AnimationDiff: A Visual Comparison Tool for Generated 3D Character Animations cites this paper.

AnimationDiff: A Visual Comparison Tool for Generated 3D Character Animations Supporting Co-Adaptive Machine Teaching through Human Concept Learning and Cognitive Theories

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:11:11.846202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T18:29:24.011221Z digest=sha256:9d74fadc76f7f742803b5284a25a95c6f6cd06c04dcc9a32f9e8d004ae10eb07