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Paper Citation Record · LEDGER

Strong Generalization and Efficiency in Neural Programs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.03629.

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

pith.paper-citation-record.v1
2007.03629 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:18:55.730733Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5c63439b-8448-4d00-ae3c-87a137eb372b · inbound

Open-Book Neural Algorithmic Reasoning cites this paper.

Open-Book Neural Algorithmic Reasoning Strong Generalization and Efficiency in Neural Programs

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T23:18:55.730733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:18:55.730733Z digest=sha256:61d74cb9a0678555ac1a62ea91608d121f38fac1fd170a1c1969677b7b51f47c

Observation 15d38dad-54d9-4985-a056-78781d4550c2 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Strong Generalization and Efficiency in Neural Programs

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:41.062461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:a87cd3fd82418a78e320ca7ee646f6293ec4117c6986d56e0fc95a9b145fa6c0