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Paper Citation Record · LEDGER

Locking Machine Learning Models into Hardware

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20990.

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

pith.paper-citation-record.v1
2405.20990 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:50:28.552599Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T09:26:26.113192Z

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 99f37bdf-cca2-4af1-ac00-c2b8604cd5b3 · inbound

Technical Requirements for Halting Dangerous AI Activities cites this paper.

Technical Requirements for Halting Dangerous AI Activities Locking Machine Learning Models into Hardware

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T17:50:28.552599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:50:28.552599Z digest=sha256:25e0026b6e2ec3cf8b8a789159348bf631bb7a374629f579d6337bba8cec69e3

Observation bc5580e4-a816-468f-a473-62a7b3c48315 · inbound

Quantamination: Dynamic Quantization Leaks Your Data Across the Batch cites this paper.

Quantamination: Dynamic Quantization Leaks Your Data Across the Batch Locking Machine Learning Models into Hardware

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:26.114772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-07T10:54:55.555926Z digest=sha256:31422e445df4741a316c8b7674a83b0c87cbe381613c9a219619fb783eebceec