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Paper Citation Record · LEDGER

High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.18837.

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

pith.paper-citation-record.v1
2410.18837 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:24:54.799279Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T06:40:24.930157Z

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 23efeb91-8e79-4ecd-824a-d43630ac8bb8 · inbound

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss cites this paper.

Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-09T21:24:54.799279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:24:54.799279Z digest=sha256:d5885c73562dd0ea82c7a22764ac86043c2643ce99efd65909b1ca7464171a64

Observation b4957be1-36c0-49af-b7b8-92a1563f0e93 · 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 High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:25:20.524195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T03:24:07.851782Z digest=sha256:08e681878fa18b140e82e70d84c68d348e4af3274732196fe235400e06ecdfc3

Observation a1be95b6-6468-427a-a453-1e4c1be5bf1f · 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 High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

Reference 246

Resolution
verified exact
arxiv_id, observed 2026-05-20T01:32:55.905257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T01:29:14.555216Z digest=sha256:87a8a5ead34b3538962595bb37c658d3f3d440bbe9564a243a147a40614bbf23

Observation 8c436c7c-dbf9-46cd-a60a-0351c7938e89 · 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 High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws

Reference 246

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:24.933596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-25T06:39:16.246591Z digest=sha256:345eea6b9f9ba94b9d292d8def98142da8c375b4b1cf62207148324389ce855b