Paper Citation Record · LEDGER

Enhancing Learning Path Recommendation via Multi-task Learning

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.05295.

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

pith.paper-citation-record.v1
2507.05295 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:58:17.245291Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy23
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c0098a3-56b7-4a22-b98f-c1a459dce4fe · outbound

This paper cites Ai in education: A review of personalized learning and educational technology,.

Enhancing Learning Path Recommendation via Multi-task Learning Ai in education: A review of personalized learning and educational technology,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:22.416746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 61a319ca-8289-4b46-a978-902451f1a998 · outbound

This paper cites A comprehensive analysis of personalized learning components,.

Enhancing Learning Path Recommendation via Multi-task Learning A comprehensive analysis of personalized learning components,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:22.227157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f28eb20c-829c-4203-a421-4c6875a4eb90 · outbound

This paper cites Components and strategies for personalized learning in higher education: A systematic,.

Enhancing Learning Path Recommendation via Multi-task Learning Components and strategies for personalized learning in higher education: A systematic,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:21.964486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 39f527dc-7caf-484a-b575-138d9106f572 · outbound

This paper cites Personalized learning systems: essential components and their impact on learning outcomes,.

Enhancing Learning Path Recommendation via Multi-task Learning Personalized learning systems: essential components and their impact on learning outcomes,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:21.780954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 233aac6a-7dc8-45fa-995d-9facde21015d · outbound

This paper cites Ai-supported health coaching model for patients with chronic diseases,.

Enhancing Learning Path Recommendation via Multi-task Learning Ai-supported health coaching model for patients with chronic diseases,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:21.629589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c092c987-91c8-4f70-9193-ee1905c24bd0 · outbound

This paper cites Efficacy of an adaptive game- based math learning app to support personalized learning and improve early elementary school students’ learning,.

Enhancing Learning Path Recommendation via Multi-task Learning Efficacy of an adaptive game- based math learning app to support personalized learning and improve early elementary school students’ learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:21.398699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4967b21-c589-44d5-b281-cf0530123c16 · outbound

This paper cites Fitness guide: A holistic approach for personalized health and wellness recom- mendation system,.

Enhancing Learning Path Recommendation via Multi-task Learning Fitness guide: A holistic approach for personalized health and wellness recom- mendation system,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:21.170076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5c34dc6f-7671-4490-b2a1-a96ac96be91b · outbound

This paper cites Opti- mized deep learning framework for personalized nutritional recommen- dations across the menstrual cycle,.

Enhancing Learning Path Recommendation via Multi-task Learning Opti- mized deep learning framework for personalized nutritional recommen- dations across the menstrual cycle,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:21.003919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c35d9ebf-cd18-4069-913d-746c051df212 · outbound

This paper cites Full personalized learning path recommendation: A literature review,.

Enhancing Learning Path Recommendation via Multi-task Learning Full personalized learning path recommendation: A literature review,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:20.810535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 417f2b91-190a-456d-8980-205e2e5abf02 · outbound

This paper cites A survey on learning path recommenda- tion,.

Enhancing Learning Path Recommendation via Multi-task Learning A survey on learning path recommenda- tion,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:20.609248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 88cf7f68-9cb0-4a65-95e8-a3a11196f558 · outbound

This paper cites A literature review of im- plemented recommendation techniques used in massive open online courses,.

Enhancing Learning Path Recommendation via Multi-task Learning A literature review of im- plemented recommendation techniques used in massive open online courses,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:20.389322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 95749cea-e862-45a3-901d-06fe4a885271 · outbound

This paper cites Ld–lp generation of per- sonalized learning path based on learning diagnosis,.

Enhancing Learning Path Recommendation via Multi-task Learning Ld–lp generation of per- sonalized learning path based on learning diagnosis,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:20.158196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 932e718b-1d02-4afe-92c4-0b547a2c506c · outbound

This paper cites Deep Reinforcement Learning: An Overview.

Enhancing Learning Path Recommendation via Multi-task Learning Deep Reinforcement Learning: An Overview

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:16.191261Z

Source-reported events for the cited work

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Observation 31c835b1-6934-4d46-ac96-916db48a400e · outbound

This paper cites Set-to-sequence ranking-based concept- aware learning path recommendation,.

Enhancing Learning Path Recommendation via Multi-task Learning Set-to-sequence ranking-based concept- aware learning path recommendation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:19.907892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 125d9675-8885-4743-a342-4474686285e0 · outbound

This paper cites Item- difficulty-aware learning path recommendation: From a real walking perspective,.

Enhancing Learning Path Recommendation via Multi-task Learning Item- difficulty-aware learning path recommendation: From a real walking perspective,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:19.643943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e738bf6-0287-4601-bf7e-2d2045230a4f · outbound

This paper cites Privileged knowledge state distillation for reinforcement learning-based educational path recom- mendation,.

Enhancing Learning Path Recommendation via Multi-task Learning Privileged knowledge state distillation for reinforcement learning-based educational path recom- mendation,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:19.370250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1caa037d-ecbe-4538-a062-813cce146467 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

Enhancing Learning Path Recommendation via Multi-task Learning An Overview of Multi-Task Learning in Deep Neural Networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:16.444678Z

Source-reported events for the cited work

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Observation 5e5e7192-cb22-4b0d-b99d-2a8171c84781 · outbound

This paper cites Deep knowledge tracing,.

Enhancing Learning Path Recommendation via Multi-task Learning Deep knowledge tracing,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:19.135590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 354e3315-3d7a-4afd-9e40-0b7ce4c3a327 · outbound

This paper cites Recent Advances in Recurrent Neural Networks.

Enhancing Learning Path Recommendation via Multi-task Learning Recent Advances in Recurrent Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:16.566396Z

Source-reported events for the cited work

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Observation 0f3eaa1e-5515-4cba-9dc0-a255cf3d3e8f · outbound

This paper cites Attention, please! a survey of neural attention models in deep learning,.

Enhancing Learning Path Recommendation via Multi-task Learning Attention, please! a survey of neural attention models in deep learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:18.924587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 156cb230-9490-4243-86e6-9dac7adf4a38 · outbound

This paper cites A survey on multi-task learning,.

Enhancing Learning Path Recommendation via Multi-task Learning A survey on multi-task learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:18.644608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 17e9e258-9ebb-4dba-af2a-f61e5dedabbf · outbound

This paper cites New types of deep neural network learning for speech recognition and related applications: An overview,.

Enhancing Learning Path Recommendation via Multi-task Learning New types of deep neural network learning for speech recognition and related applications: An overview,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:18.413840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 60e42e44-3073-4d49-8bb5-69eaae085675 · outbound

This paper cites Massively Multitask Networks for Drug Discovery.

Enhancing Learning Path Recommendation via Multi-task Learning Massively Multitask Networks for Drug Discovery

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:16.854337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93809f1f-9674-4313-b8bf-1563c6ae66fe · outbound

This paper cites Fast r-cnn,.

Enhancing Learning Path Recommendation via Multi-task Learning Fast r-cnn,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:16.921187Z

Source-reported events for the cited work

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Observation b90d9789-9a96-4b79-a813-569126b2b639 · outbound

This paper cites A unified architecture for natural language processing: Deep neural networks with multitask learning,.

Enhancing Learning Path Recommendation via Multi-task Learning A unified architecture for natural language processing: Deep neural networks with multitask learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:18.207804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 67ade119-4021-41f9-9b18-ba095297407f · outbound

This paper cites Addressing the assessment challenge with an online system that tutors as it assesses,.

Enhancing Learning Path Recommendation via Multi-task Learning Addressing the assessment challenge with an online system that tutors as it assesses,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:17.930848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 67f2732e-930e-4e71-b49e-4e68b03d2dcd · outbound

This paper cites Doubly constrained offline reinforcement learning for learning path recommendation,.

Enhancing Learning Path Recommendation via Multi-task Learning Doubly constrained offline reinforcement learning for learning path recommendation,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:17.710786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4c236578-0373-4499-8c65-8e83b6579a20 · outbound

This paper cites On learning path planning algorithm based on collaborative analysis of learning behavior,.

Enhancing Learning Path Recommendation via Multi-task Learning On learning path planning algorithm based on collaborative analysis of learning behavior,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:58:17.486742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation aa4b47df-eebd-49b5-ac10-05d2ec818037 · outbound

This paper cites Educational Personalized Learning Path Planning with Large Language Models.

Enhancing Learning Path Recommendation via Multi-task Learning Educational Personalized Learning Path Planning with Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:17.177331Z

Source-reported events for the cited work

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Observation e5ae7830-03c0-4d35-bb65-6be6b58f933b · outbound

This paper cites Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.

Enhancing Learning Path Recommendation via Multi-task Learning Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:58:17.245291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.