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Paper Citation Record · LEDGER

Curriculum Learning: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2101.10382.

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

pith.paper-citation-record.v1
2101.10382 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:06:34.541220Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:15:09.578155Z

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 5746f924-e68d-4537-ae63-b8811cc38fa0 · inbound

MegaScale-Data: Scaling Dataloader for Multisource Large Foundation Model Training cites this paper.

MegaScale-Data: Scaling Dataloader for Multisource Large Foundation Model Training Curriculum Learning: A Survey

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:15:09.580418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T21:12:22.201810Z digest=sha256:8d6990c253ed915d3a453c10e2786ed2329e051bb33ad1800d78d34d0756f780

Observation 398202df-698a-490c-9b32-685e78db22a5 · inbound

Pre-Training Curriculum for Multi-Token Prediction in Language Models cites this paper.

Pre-Training Curriculum for Multi-Token Prediction in Language Models Curriculum Learning: A Survey

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-07T13:06:34.541220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:06:34.541220Z digest=sha256:270df00b0209fc92e2cb782115d6d49fe8adbc5f25c2d133179d71ecd999a09b

Observation d45cf0fb-0c4e-44ed-9cbd-97886f025129 · inbound

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection cites this paper.

Unified Game Moderation: Soft-Prompting and LLM-Assisted Label Transfer for Resource-Efficient Toxicity Detection Curriculum Learning: A Survey

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:56.219866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:56.219866Z digest=sha256:ec2427da5485f0c30d19dbef566fdc3a8c875c4ce55e8c239335e771e50c20b0

Observation 6d6b9587-8744-465b-afb8-99780c97db4a · inbound

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding cites this paper.

Your Pretrained Model Tells the Difficulty Itself: A Self-Adaptive Curriculum Learning Paradigm for Natural Language Understanding Curriculum Learning: A Survey

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:17.389680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:54:17.389680Z digest=sha256:de50e82ef2bf3f0cc739b1db88fd8f4bcb0d285ed5b5ccebb6840d6fbe50d798

Observation edce04a8-7e1c-4265-9116-921d75251a80 · inbound

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks cites this paper.

Simulation-based inference using splitting schemes for partially observed diffusions in chemical reaction networks Curriculum Learning: A Survey

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T19:57:32.119106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:57:32.119106Z digest=sha256:fdab8040c539d8a58dd834382e09f2da045364e7aaa77eb927da360ddcc23c10

Observation 6f303dba-120f-4217-adea-027f7c5e8595 · inbound

Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution cites this paper.

Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution Curriculum Learning: A Survey

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:07:29.674054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T07:03:42.516477Z digest=sha256:3048c1800f4f330d0fdc081157c5240b3f0e5cd022011e0a0bc3206f4e5c635a

Observation e42f2e04-e9e0-486f-9732-ff33598ac15f · inbound

Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach cites this paper.

Surrogate models for Rock-Fluid Interaction: A Grid-Size-Invariant Approach Curriculum Learning: A Survey

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T20:48:40.185314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:48:40.185314Z digest=sha256:e0da38714ad80e0d72a0a23204ba5947866cfd77d9fcc5ddff81c7f9f6596b52

Observation d192e5c4-63c6-461d-ace7-9d86e916b919 · inbound

American Options Pricing under Heston Model via Curriculum Learning in Coupled PINNs cites this paper.

American Options Pricing under Heston Model via Curriculum Learning in Coupled PINNs Curriculum Learning: A Survey

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:30:59.005078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:17:25.972343Z digest=sha256:a5c63c5ddb2e8f9d864ae9bb3914ad3837259bea6d0ca51a1cfdeca623ca5c02

Observation 8fed5217-a9e6-4a8c-a20e-d071807807c2 · inbound

Pretraining Curricula Enable Selective Fine-tuning cites this paper.

Pretraining Curricula Enable Selective Fine-tuning Curriculum Learning: A Survey

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-11T12:36:24.747752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T12:36:24.747752Z digest=sha256:861a2b80dbe322c27723edef04f92ee442ac03cdd35c7547d8ba993f8fe2bc3b