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Paper Citation Record · LEDGER

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2302.06885.

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

pith.paper-citation-record.v1
2302.06885 v3

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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:39:47.310069Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T12:01:07.828243Z

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 3088aac4-ee6d-4e0e-90b1-5a4c41bc370c · inbound

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing cites this paper.

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T19:08:51.303372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:08:51.303372Z digest=sha256:68089e6dc30568afafba4cb1540274997da78fabf0fceec37bdf1438d731cc92

Observation ba07a5ce-2db8-465f-80fd-b779ab891bdd · inbound

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer cites this paper.

Contrastive Cross-Course Knowledge Tracing via Concept Graph Guided Knowledge Transfer Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T21:39:47.310069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:39:47.310069Z digest=sha256:1a06b2d3c6c57f7ff49722fb99c8541d3ef638750e6911e984ae7c299f711644

Observation 605aba85-f8db-4353-8d06-06ea46fdc550 · inbound

UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics cites this paper.

UNVaMP: Neural Knowledge Tracing with Variational Regularization of Latent Knowledge Dynamics Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T12:01:07.834616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-05T12:01:07.013886Z digest=sha256:bd288c92932830f5e1568f6ef9d01338be4aa3ff4548f01948f46cceec70a97d