Paper Citation Record · LEDGER

An Empirical Study of Scaling Laws for Transfer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2408.16947.

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

pith.paper-citation-record.v1
2408.16947 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:01:36.054331Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:39:10.227640Z

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 348d53aa-d60c-4d10-bf07-05829460d3d8 · inbound

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection cites this paper.

Scaling Laws for Forgetting during Finetuning with Pretraining Data Injection An Empirical Study of Scaling Laws for Transfer

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T17:01:36.054331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e235190-ae06-4528-b3bb-e4a7a35310cf · inbound

Distillation Scaling Laws cites this paper.

Distillation Scaling Laws An Empirical Study of Scaling Laws for Transfer

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T04:33:08.802494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4b8802-aceb-47e8-92be-dcf3980c068b · inbound

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning cites this paper.

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning An Empirical Study of Scaling Laws for Transfer

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:39:10.333127Z

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 e23148dd-2f43-4e5d-b54c-d5abbd92d352 · inbound

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data cites this paper.

GUST: Quantifying Free-Form Geometric Uncertainty of Metamaterials Using Small Data An Empirical Study of Scaling Laws for Transfer

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:06:10.640842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.