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Paper Citation Record · LEDGER

TruthLens: Visual Grounding for Universal DeepFake Reasoning

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.15867.

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

pith.paper-citation-record.v1
2503.15867 v3

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T20:48:11.937716Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T14:25:29.305555Z

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 8811672b-86bf-435e-b5a9-7822056d9a96 · inbound

VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection cites this paper.

VIGIL: Part-Grounded Structured Reasoning for Generalizable Deepfake Detection TruthLens: Visual Grounding for Universal DeepFake Reasoning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-13T20:48:11.937716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T20:48:11.937716Z digest=sha256:d0941b72aab700037849bdb168a7b407a33732402a84979f7f8bce09a60ec74b

Observation 188133e3-9118-41e9-933b-e74452e20338 · inbound

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection cites this paper.

VRAG-DFD: Verifiable Retrieval-Augmentation for MLLM-based Deepfake Detection TruthLens: Visual Grounding for Universal DeepFake Reasoning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:25:29.308415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T14:24:42.346112Z digest=sha256:4148c444de7ecd3199a914f243cda05d41c967254a3c30d5763d533a9d71d8bb