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Paper Citation Record · LEDGER

Measuring Information Transfer in Neural Networks

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.07624.

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

pith.paper-citation-record.v1
2009.07624 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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:22.312773Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.137477Z

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 2fa136ff-7aef-4a09-a51d-bd80912c5e2e · inbound

Compute-Optimal LLMs Provably Generalize Better With Scale cites this paper.

Compute-Optimal LLMs Provably Generalize Better With Scale Measuring Information Transfer in Neural Networks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T11:38:22.312773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:38:22.312773Z digest=sha256:dad241d77528ee61c85e242ffdb3f7e0982734e8e2f0fc7dba84f4914c55c344

Observation f5f7d53f-f5f3-44ad-a20f-45eeab13e620 · inbound

Can In-Context Learning Support Intrinsic Curiosity? cites this paper.

Can In-Context Learning Support Intrinsic Curiosity? Measuring Information Transfer in Neural Networks

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.138724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T21:22:02.967893Z digest=sha256:f217d8abea86d2f1d9c9fc5ade37723e125b0bd76ccc88985bda45b26d9e6e83