Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.05136.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T17:57:23.142387Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T10:34:47.304241Z
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 1e8f61f9-f8ae-4cf2-bbdf-46475d36c860 · inbound
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation cites this paper.
Classroom Simulacra: Building Contextual Student Generative Agents in Online Education for Learning Behavioral Simulation Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T11:13:39.937417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20f9b83c-10d0-433e-941d-872864ae8b38 · inbound
LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction cites this paper.
LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
Reference 15
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T10:34:47.309517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 15afb5fb-07fe-4368-a866-7f0a07310747 · inbound
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation cites this paper.
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T17:57:23.142387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.