Pith. sign in

Paper Citation Record · LEDGER

Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.10499.

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

pith.paper-citation-record.v1
2403.10499 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:09:09.880055Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:40:57.733557Z

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 2d089d22-30f3-447c-8fee-1fb4346a9d3e · inbound

Attacking Attention of Foundation Models Disrupts Downstream Tasks cites this paper.

Attacking Attention of Foundation Models Disrupts Downstream Tasks Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:09:09.880055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:09:09.880055Z digest=sha256:9d70ff14c80fd5c52f711225d39155017316d7231592ecedfe7ed0e47bce4220

Observation 66b395ff-f43f-4caf-9df5-2b2d593ffe5a · 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 Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-08-06T18:40:57.847447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T18:40:55.433668Z digest=sha256:14d6a83a32416a0cb41fd1d9751d3a63cdf9848074c1f4178487ea0ad79629e8