Pith. sign in

Paper Citation Record · LEDGER

DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1804.00750.

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

pith.paper-citation-record.v1
1804.00750 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:36:09.508029Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-15T08:19:52.006713Z

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 8272e14f-e503-40bb-937f-977476639d1f · inbound

Towards Data Governance of Frontier AI Models cites this paper.

Towards Data Governance of Frontier AI Models DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-11T22:06:54.212544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:06:54.212544Z digest=sha256:215e6535d59fdde6e68ba67c5a87cf8388ccbcca8275a041d5994b5042903954

Observation b73e3809-88bc-49bd-938a-0dab84d9072f · inbound

Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers cites this paper.

Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T14:01:31.108295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:01:31.108295Z digest=sha256:0c4a1fada058d54bdcd69430132741cda4c06237bf254c565da371e0820be3fc

Observation 30f8443c-8ff7-4761-ad14-cc1bd32e7751 · inbound

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking cites this paper.

Protecting Intellectual Property of EEG-based Neural Networks with Watermarking DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-08T17:25:02.811196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:25:02.811196Z digest=sha256:b47eff394d6b4ceefd4d2d4f000323b3332e112b03f50dde497cc56aefff6be2

Observation b64b727b-604a-41c8-bf76-3c12e75dbe5d · inbound

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption cites this paper.

SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T10:30:13.912478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:30:13.912478Z digest=sha256:1e009c2cc26e4906f484ad943255950f8bf43ba4c4875b68e92b8be17214e40e

Observation ecf92461-5a14-4a0d-84cf-e9ddfef10b5b · inbound

Watermarking LLM-Generated Datasets in Downstream Tasks cites this paper.

Watermarking LLM-Generated Datasets in Downstream Tasks DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:13.758607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:13.758607Z digest=sha256:70d9ed22100a65fc15ca8e8b49d54b3687722f1e5eff1810097673981996620e

Observation 1a69f9b3-a1f7-4522-aca5-b4666341dc53 · inbound

NWaaS: A Non-Intrusive and Privacy-Preserving Watermarking-as-a-Service System with Adaptive Resource Scheduling cites this paper.

NWaaS: A Non-Intrusive and Privacy-Preserving Watermarking-as-a-Service System with Adaptive Resource Scheduling DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T14:45:37.792254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:45:37.792254Z digest=sha256:144489ac7f8745083fb348ac948956b6ca8066c8311417d5190ab688783b5cb5

Observation 500173fd-8336-4539-9609-89f77cff96e8 · inbound

CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models cites this paper.

CSF: Black-box Fingerprinting via Compositional Semantics for Text-to-Image Models DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-15T08:19:52.010347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T08:19:38.946663Z digest=sha256:c7e9580745620aff547be31e1545e44df607399a8414fdcdd9598b59ca0a68d7

Observation bcd0d269-4f6e-4694-9b8f-25b7e9222c85 · inbound

Fingerprinting Text-to-Image Diffusion Models via Collapsed Generation cites this paper.

Fingerprinting Text-to-Image Diffusion Models via Collapsed Generation DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-16T00:36:09.508029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:36:09.508029Z digest=sha256:081c1002896f57c6d0b647c470cd1cc628243bb4bf90c3309c1ffd4c22fa76f1