Pith. sign in

Paper Citation Record · LEDGER

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.00383.

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

pith.paper-citation-record.v1
2503.00383 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:01.154053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T23:13:47.651481Z

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 e3c05785-3c8c-4606-9aae-aee14e03b424 · inbound

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation cites this paper.

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:52:01.154053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:01.154053Z digest=sha256:8b594d247aefb8a6fee3ddbd233bb515cd76c87616f23c43d13a5f964f6fec88

Observation 8d1c173a-6132-498b-9f3b-12e6d50f06ca · inbound

MTL-UE: Learning to Learn Nothing for Multi-Task Learning cites this paper.

MTL-UE: Learning to Learn Nothing for Multi-Task Learning Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-15T23:13:47.655394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T23:13:47.490407Z digest=sha256:a9d4ae794c2c74c2b825b45d33ee1fff4b0b611c181b438b651e788a77a1c679