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Paper Citation Record · LEDGER

BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks

As of 24 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.00344.

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

pith.paper-citation-record.v1
1904.00344 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 2026-07-24T06:31:00.690269+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T17:27:29.241219Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T17:33:45.363063Z

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 624e0793-6f53-4ea3-8a3c-2b6f0501598a · inbound

Dynamics-Level Watermarking of Flow Matching Models with Random Codes cites this paper.

Dynamics-Level Watermarking of Flow Matching Models with Random Codes BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T20:23:43.149688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=arxiv_source observed=2026-05-20T20:22:52.535721Z digest=sha256:1563b62750aab686ed68131ef18871d6891484e7ce6f449edc31e14a256618a5

Observation 74528eea-253e-4313-932b-392846128b8b · inbound

Landseer: Exploring the Machine Learning Defense Landscape cites this paper.

Landseer: Exploring the Machine Learning Defense Landscape BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-06-29T17:33:45.364610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-29T17:27:29.241219Z digest=sha256:aaca1bd4b05aa6deeebf013b72dd41f7d47de7e335df6fbeb4ad2acf89baa6d7