Paper Citation Record · LEDGER

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.12693.

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

pith.paper-citation-record.v1
2403.12693 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:53.632624Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:16:26.856925Z

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 ca3a13fc-b22e-4693-8052-9cb748e5ed28 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Reference 227

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.768141Z

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.

Observation baaba23d-1ee4-4601-b239-46fea2c9df48 · inbound

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models cites this paper.

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:53.632624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 462880f4-3997-471c-bb04-1ce23bc6d017 · inbound

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models cites this paper.

VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:29.252024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a46f1f1-a2dc-4ea3-a0ca-6dfd108e6f36 · inbound

Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP cites this paper.

Contrastive Spectral Rectification: Test-Time Defense towards Zero-shot Adversarial Robustness of CLIP As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T07:47:37.529795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3da45583-3c5f-4566-bcf7-ae3073dc991f · inbound

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models cites this paper.

Beyond False Stability: High-Noise Drift Gating for Test-Time Adversarial Defenses in Vision-Language Models As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:16:26.858654Z

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.