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Paper Citation Record · LEDGER

GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.00600.

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

pith.paper-citation-record.v1
2407.00600 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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:53:09.596599Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:05:44.905891Z

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 a7f298f6-6806-47a4-8c06-b3c6a52aae7a · inbound

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads cites this paper.

Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T14:53:09.596599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:53:09.596599Z digest=sha256:b14928caa247b6151fb5adf1af70b81106bf676fbd3aef6791e9871e2d59a960

Observation c896b4db-e086-417c-99ee-bb679231b378 · inbound

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 cites this paper.

Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025 GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T00:57:13.775636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:13.775636Z digest=sha256:b0af8f286249ac9e4d8f3decfb64305c18ce5f9a78c884a32ec6d699023362c9

Observation 04fab5b7-d32d-465b-b82f-c3b20e862cb6 · inbound

VideoGuard: Protecting Video Content from Unauthorized Editing cites this paper.

VideoGuard: Protecting Video Content from Unauthorized Editing GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T04:27:06.464401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:27:06.464401Z digest=sha256:3e5e54522f06b55ad8b24c17b6411a788e1827aaa588c50599d3cf75a75534c2

Observation 496564b3-98a2-49c7-bdaa-642ef5360a70 · inbound

Vision-Language Models display a strong gender bias cites this paper.

Vision-Language Models display a strong gender bias GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:05:44.976517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:05:44.472717Z digest=sha256:5e6a8757e89b2989a3c51f10181b87110a008aab2e938d85f056ee49e1fd6473

Observation 8ac6b1a9-183a-4331-a43f-a5ca14aefe4a · inbound

Evidence Recomposition and Predictive Context Residualization for Visual Attribution in Multimodal Large Language Models cites this paper.

Evidence Recomposition and Predictive Context Residualization for Visual Attribution in Multimodal Large Language Models GenderBias-\emph{VL}: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-04T14:58:40.532601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:58:40.532601Z digest=sha256:44502739d85570725fc7f7eb7e923992ce464b4014eec240dd68af0c31370d68