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Paper Citation Record · LEDGER

Adversarial Attacks on Foundational Vision Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.14597.

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

pith.paper-citation-record.v1
2308.14597 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T13:51:21.271018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:48:04.443823Z

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 98083b43-1ab0-48b7-8826-2deb94c9517e · inbound

Hierarchically Robust Zero-shot Vision-language Models cites this paper.

Hierarchically Robust Zero-shot Vision-language Models Adversarial Attacks on Foundational Vision Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:56:31.422352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T04:25:24.008261Z digest=sha256:bf1087c0da90432be0fc2b52a151addfc1e9e4f7e2621d6c64b09e64bdb39d17

Observation 806b5772-fa1f-4c1c-8aba-e7bf96ceaa08 · inbound

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains cites this paper.

Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains Adversarial Attacks on Foundational Vision Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:48:04.445958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-20T05:45:02.563352Z digest=sha256:6d1bf829ff818a5b82c6a2aba976f62ae5249cc5768c3d3a50c899e990db2860

Observation 05368e7a-9800-4c62-9fae-4beace0ce52a · inbound

Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model cites this paper.

Dual Adversarial Fine-tuning for Enhancing Robustness of Large Vision Language Model Adversarial Attacks on Foundational Vision Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T13:51:21.271018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:51:21.271018Z digest=sha256:cb89006c80f7208d9d3bf3d0a10bcdaaabdffd38388bc8cce110bfc334d5e4e5