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Paper Citation Record · LEDGER

Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.11455.

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

pith.paper-citation-record.v1
2502.11455 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:05:17.638168Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:45:49.526268Z

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 69ed006a-72cf-4d12-8bd9-e83d56a72687 · inbound

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning cites this paper.

GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T21:05:17.638168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:05:17.638168Z digest=sha256:85b88e8d3c74308f941aae8d1a2aa9516d498107815d23c99b6b6855cf19344f

Observation 8d8e7c4a-e083-424b-987d-c4352ac504bf · inbound

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey cites this paper.

Empowering Multimodal LLMs with External Tools: A Comprehensive Survey Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training

Reference 247

Resolution
unresolved
no resolver link, observed 2026-08-05T20:29:07.951103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:29:07.951103Z digest=sha256:d1d06338ef9b5e66c91f416721a016fe8ce41e8afab50912a84988a75f48ce13

Observation 97a665b9-5971-4907-af10-b5f9e616a035 · inbound

Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs cites this paper.

Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T20:25:11.628086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:25:11.628086Z digest=sha256:6287b125e1a41486761e130ccd70d82ae30e925fb15f129c47bd6daf52399502

Observation 8e71bbad-6094-4e23-a890-0191ec001433 · inbound

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections cites this paper.

WARD: Adversarially Robust Defense of Web Agents Against Prompt Injections Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:45:49.528074Z

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=pdf_text observed=2026-06-30T20:16:13.413064Z digest=sha256:de30f7cb990ff309bd8ed4e02a4a746a5d7702d029db218bc3ffae9c13ce225c