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Paper Citation Record · LEDGER

Curriculum learning for language modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2108.02170.

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

pith.paper-citation-record.v1
2108.02170 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:11:54.456247Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:31:24.232288Z

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 f996a5be-294b-40a0-9884-79a5241b0110 · inbound

Investigating the Zone of Proximal Development of Language Models for In-Context Learning cites this paper.

Investigating the Zone of Proximal Development of Language Models for In-Context Learning Curriculum learning for language modeling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T14:11:54.456247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:11:54.456247Z digest=sha256:38b2b066ecd6aa2549d1429a7f975ab2f1ac35682a83ba2ab631dc11853202c1

Observation 5bb97408-e321-487e-9c3b-d58ac09da152 · inbound

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples cites this paper.

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples Curriculum learning for language modeling

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T11:57:11.723302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T11:57:11.723302Z digest=sha256:66cf0eb9f846aea6a4cc179c042ea27691405ae2ccbcaf046111e010df9005e5

Observation 3a911a51-a6fb-4825-9d11-ea30846d15a4 · inbound

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining cites this paper.

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining Curriculum learning for language modeling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:10.190869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:10.190869Z digest=sha256:37de8f870b947b3320ebd390e942abdac573a4b7ccd1627978930f86b3a37bb0

Observation 00c6a0e5-5f75-4877-9d6c-84fdea0a50c6 · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives Curriculum learning for language modeling

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-07T04:46:04.427842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:46:04.427842Z digest=sha256:c93d1b7b125c67c25aa4889ca8ee24f22f6d9c04523e6fa29d902a1f6fdf92ea

Observation 9afb825a-41b3-4b1a-ab8e-df850b14d8db · inbound

Data Efficacy for Language Model Training cites this paper.

Data Efficacy for Language Model Training Curriculum learning for language modeling

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T22:31:35.794833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:31:35.794833Z digest=sha256:199bd7d553546eabf9d45f82ad973ebd950a856dd32d97cca373de9f5b864437

Observation a44c1f70-b483-4ab9-aee2-730d7c0e2ade · inbound

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently cites this paper.

The Benefits of Temporal Correlations: SGD Learns k-Juntas from Random Walks Efficiently Curriculum learning for language modeling

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:31:24.234876Z

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=arxiv_source observed=2026-05-12T05:27:11.761971Z digest=sha256:8fa3965d90838ff6a3827b4c4b512f3b725d5b2229407da7cabbc68860ef1611