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Paper Citation Record · LEDGER

Hadamard product in deep learning: Introduction, Advances and Challenges

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.13112.

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

pith.paper-citation-record.v1
2504.13112 v1

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T10:11:39.453075Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:23:20.542056Z

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 58ee9c1a-c9e1-4064-ae3f-d3f7aac9026f · inbound

Hadamax Encoding: Elevating Performance in Model-Free Atari cites this paper.

Hadamax Encoding: Elevating Performance in Model-Free Atari Hadamard product in deep learning: Introduction, Advances and Challenges

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:23:20.648138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T15:23:15.800218Z digest=sha256:09b6d7c6f6bb6e44ddac501d33fa7f4e3c1780a09e0c0466d5aff24982ba13c8

Observation 103e05f6-e3d6-4f0f-a629-b365254750ad · inbound

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks cites this paper.

Aftab: A Comprehensive Benchmark of CNN Encoders and Advanced Value Functions in Parallelized Q-Networks Hadamard product in deep learning: Introduction, Advances and Challenges

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T10:11:39.453075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T10:11:39.453075Z digest=sha256:cefb1be3dbe950eb3d0049c83afeeb88859f8584153c184fc8c4165437e2fba6