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Paper Citation Record · LEDGER

The Unreasonable Effectiveness of Easy Training Data for Hard Tasks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.06751.

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

pith.paper-citation-record.v1
2401.06751 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:45:12.252155Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T14:54:29.633661Z

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 9715775d-83cb-40a2-8121-0d37b211048c · inbound

Aligning LLMs with Domain Invariant Reward Models cites this paper.

Aligning LLMs with Domain Invariant Reward Models The Unreasonable Effectiveness of Easy Training Data for Hard Tasks

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T22:45:12.252155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:45:12.252155Z digest=sha256:fd8ff57a3b80bfedbf6e1496558e488ae1c27da92b2f5a9b63e9907b7efd9af9

Observation df3f472d-1ed4-4260-90c6-f41e4b432024 · inbound

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges cites this paper.

Self-Improving Transformers Overcome Easy-to-Hard and Length Generalization Challenges The Unreasonable Effectiveness of Easy Training Data for Hard Tasks

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:54:29.637481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T14:54:29.170865Z digest=sha256:4205f91cdc6bd7430ff13b656166957fdf3dddc3387b0ae3912334964b759952