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Paper Citation Record · LEDGER

Looped ReLU MLPs May Be All You Need as Practical Programmable Computers

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.09375.

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

pith.paper-citation-record.v1
2410.09375 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:39:14.232338Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T10:20:15.635238Z

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 f6d0ff3a-b7c0-413e-a6ca-65fa0d4c7983 · inbound

Universal Approximation of Visual Autoregressive Transformers cites this paper.

Universal Approximation of Visual Autoregressive Transformers Looped ReLU MLPs May Be All You Need as Practical Programmable Computers

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T16:39:14.232338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:39:14.232338Z digest=sha256:91b2e7d24382dff2aa73741581f5fee9717b4485ff44cd2f1f7b07a71de7266d

Observation 64e1ecdf-5818-4dd3-b1d7-c6a8883d1ca9 · inbound

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling cites this paper.

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling Looped ReLU MLPs May Be All You Need as Practical Programmable Computers

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-08T10:20:15.639583Z

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.

source=arxiv_source observed=2026-08-08T10:20:15.410300Z digest=sha256:d75bd9e482a0677ebd80c7b35fd343f96e2205b3bae83483499c132446c4c880