Pith. sign in

Paper Citation Record · LEDGER

Hyperbolic Safety-Aware Vision-Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.12127.

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

pith.paper-citation-record.v1
2503.12127 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:44.007811Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:24:21.217482Z

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 0cb4523b-c96d-4264-b23b-6ca7fb1daecf · inbound

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation cites this paper.

Rank-Aware Hyperbolic Alignment for Vision-Language Dataset Distillation Hyperbolic Safety-Aware Vision-Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:24:21.218974Z

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=2026-06-30T07:21:46.599943Z digest=sha256:ea68d550f9b2ea57fbafe633f7b5b2796e5933969c59d0c9886b9dc8ea932c5d

Observation a135f17d-902a-4786-8d56-068c900a2f76 · inbound

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models cites this paper.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Hyperbolic Safety-Aware Vision-Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.007811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.007811Z digest=sha256:e9ffc05ab8a633aaccf0fb9225f190c9ac755f2aec4045ebed92fb24da256e9d