Paper Citation Record · LEDGER

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.01458.

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

pith.paper-citation-record.v1
2502.01458 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:48.635794Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:33:50.586010Z

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 f915e057-b375-4a74-9e2d-5b947c9a258a · inbound

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension cites this paper.

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:25:20.603712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e3f491da-de2a-4165-a937-fd25ab5373cc · inbound

On Weak-to-Strong Generalization and f-Divergence cites this paper.

On Weak-to-Strong Generalization and f-Divergence The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T11:17:48.635794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0363d6e7-5c30-4ef6-8a20-7898b4a4b454 · inbound

Contrastive Weak-to-strong Generalization cites this paper.

Contrastive Weak-to-strong Generalization The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:39.233816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d775434e-c730-4cfd-9f82-8714ccecd5d4 · inbound

On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.

On the Blessing of Pre-training in Weak-to-Strong Generalization The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:36:08.669452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8dd33003-014d-4de1-9f41-fdf442aad33a · inbound

Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models) cites this paper.

Weak-to-Strong Generalization is Nearly Inevitable (in Linear Models) The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:41:09.013297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7c0dfa2c-a8fe-4226-9331-268ac264d817 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 250

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:55.889747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bea9ceba-7192-4e2c-9d14-e9709a280455 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 250

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.895585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45f8ea9e-6ece-4a65-abd6-f330f7ecc994 · inbound

Gradient Transformer: Learning to Generate Updates for LLMs cites this paper.

Gradient Transformer: Learning to Generate Updates for LLMs The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:33:50.587865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.