Paper Citation Record · LEDGER

Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.07137.

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

pith.paper-citation-record.v1
2206.07137 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T22:02:30.217607Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:05.665419Z

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 b9113709-88e6-462b-9b33-c67eb55989bb · inbound

Learning to Reason at the Frontier of Learnability cites this paper.

Learning to Reason at the Frontier of Learnability Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.126116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b2e8a6ed-02ec-414f-8d78-dd6dd24e6682 · inbound

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap cites this paper.

Difficulty-Based Preference Data Selection by DPO Implicit Reward Gap Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:50:47.596673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 29ce487d-15bb-4b0a-8040-8d48f3bfe1bf · inbound

LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training cites this paper.

LiLAW: Lightweight Learnable Adaptive Weighting to Learn Sample Difficulty & Improve Noisy Training Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T15:02:41.254484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2192a6ba-16f2-4dfc-a17c-dfee6e8f8ba0 · inbound

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning cites this paper.

SLAP: Stratified Loss-based Pruning for On-Policy Data-Efficient Instruction Tuning Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:05.667020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.