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Paper Citation Record · LEDGER

ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.11079.

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

pith.paper-citation-record.v1
2505.11079 v2

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 2026-08-06T21:53:33.503668Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T14:58:29.459771Z

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 6b222ae9-da76-4028-934d-1b6a9c65f0dc · inbound

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation cites this paper.

CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:53:33.503668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:33.503668Z digest=sha256:d56280980662289bdea3a1abb1c1159e07dd452b11d21408f02a5600341a3c60

Observation e54a7246-7fa1-4b2c-b547-c4a97303c24e · inbound

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems cites this paper.

R4ec: A Reasoning, Reflection, and Refinement Framework for Recommendation Systems ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:58:29.558844Z

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=2026-08-06T14:58:23.577094Z digest=sha256:53396cca21014f9596b36b7db46c86608cebd07bda6b3968c9646c38df12dd41