Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:01:34.084311Z
Paper Citation Record · LEDGER
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection
As of 18 August 2026, this Paper Citation Record lists 58 of 58 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T21:53:33.503668Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:58:29.459771Z
Reference resolution
58 of 58 outbound references displayed
- verified exact2
- verified fuzzy2
- unresolved51
- parse uncertain0
- malformed identifier3
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation c451f42c-a400-40c4-85c8-606b4529b9db · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.732077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9aff0def-6b66-49b8-872e-6cf7e588721c · outbound
This paper cites Qwen Technical Report.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Qwen Technical Report
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.715194Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 018c9ac5-451e-4afe-ac97-ec4aa7aa8f16 · outbound
This paper cites Qwen2.5-VL Technical Report.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Qwen2.5-VL Technical Report
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.719678Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cbb238f-97b2-4031-9eb9-d4f6ab1e2ef9 · outbound
This paper cites X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.724305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 53fad457-e025-447d-95f8-1e1bf74cf8e2 · outbound
This paper cites RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake Detection
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.728757Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 892e3fdd-0c3d-4c43-9f68-ab3331ef3966 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.733616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13a1d153-08c1-411a-8e21-b0cd67e29330 · outbound
This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.744243Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2b54f7d-6ba6-467f-ac85-c1a77abc7361 · outbound
This paper cites Liu, Leonid Karlinsky, and James R.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Liu, Leonid Karlinsky, and James R
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:01:35.705642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 08cdec7d-a9de-4bab-93fa-e3b72efad87a · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.688824Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 92d40d3c-852d-4ba9-9d59-f35e4541890c · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.763967Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddffa301-302d-4c7c-ad20-d1a0bfa94f5b · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.768752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 94bf5d11-3774-48a5-b32f-c555038147c1 · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.773286Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b7a30c3d-439b-4e18-ac3e-ee2955a96476 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.778126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9d4877e-8e95-42aa-a5ba-36d27660e075 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.783097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98593d1f-f4c8-4d74-bd92-ecdce727751b · outbound
This paper cites AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.787403Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c751164-caf0-411a-a42e-68a333a712fe · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-15T21:01:34.340538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cc6e3e31-7c2f-47b2-b8db-938e5c7f81ef · outbound
This paper cites FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.797324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ca4824c-9afa-461e-ad7f-b513e915106d · outbound
This paper cites A Transcription Prompt-based Efficient Audio Large Language Model for Robust Speech Recognition.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection A Transcription Prompt-based Efficient Audio Large Language Model for Robust Speech Recognition
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.802058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83d94c85-2a47-41eb-8360-b9d664259b33 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.806849Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 705c1511-87dd-458d-a7fb-4d3450bd8659 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.811216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b59023ca-e8ba-48bc-86c8-bc46b0af8126 · outbound
This paper cites Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, and Konstantin Böttinger.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Müller, Pavel Czempin, Franziska Dieckmann, Adam Froghyar, and Konstantin Böttinger
Reference 22
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-15T21:01:33.815305Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61cf0ca1-bd0f-45cf-9f1a-a1bc69c5adca · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.819803Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 366ab57c-82f5-4f45-a7d5-9ec06161050b · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.651763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 4a93d58c-adf6-4b24-a9c1-70fa29046b7f · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 25
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-15T21:01:33.828161Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 970893f9-70a8-4179-82c3-df935c71342c · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.832733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48f70bde-0d03-466c-b246-217cb2010cdb · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.636728Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e63361cb-3d88-42bd-b26d-b667f74b12d9 · outbound
This paper cites video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.841435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a87f9002-928d-4a37-b104-62e135404584 · outbound
This paper cites End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection End-to-End Spectro-Temporal Graph Attention Networks for Speaker Verification Anti-Spoofing and Speech Deepfake Detection
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.846063Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b9cf3d1e-e39e-4cc8-8435-3033acb37a8b · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.621987Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 240e10f9-7005-490f-a8f1-f22b3a7a15be · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.857768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b55e0053-e0e8-4b25-9c2e-f2a8dacf2e1e · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection LLaMA: Open and Efficient Foundation Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.861506Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7fe0d57-475c-4b49-bca6-ad417a3df96d · outbound
This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Gomez, Lukasz Kaiser, and Illia Polosukhin
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.865901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d5bdcff-60cc-4f40-b532-c018c0dad552 · outbound
This paper cites Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:01:34.926328Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1574fa61-8af3-4bed-9db6-ac41cad52b83 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.874958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af4d531e-f3c6-447c-b2a9-dbde22035f82 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.879361Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 753ee545-7693-4d67-9d3f-02c7794c2962 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.597340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a0f1c595-d3a0-40c1-b564-2fb7c211bfbd · outbound
This paper cites Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.892781Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 705d37dc-ccf7-43d1-86df-c211a8947093 · outbound
This paper cites Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Beyond Examples: High-level Automated Reasoning Paradigm in In-Context Learning via MCTS
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.897483Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f44a170c-d134-4a6c-8c45-1d5b63827b1c · outbound
This paper cites Gonzalez, Trevor Darrell, and David M.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Gonzalez, Trevor Darrell, and David M
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:01:35.582264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 72802dc3-746b-4aa8-b4bf-7eb600b670a9 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.015120Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 896ec438-2484-4407-9a45-dd03244a42a9 · outbound
This paper cites LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.019548Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef588a7f-435c-452a-bf8d-d034cc965fe0 · outbound
This paper cites CLAIR-A: Leveraging Large Language Models to Judge Audio Captions.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection CLAIR-A: Leveraging Large Language Models to Judge Audio Captions
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.010101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9794f4f1-c1d1-47c0-b982-beceb6d1e993 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.029117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b79081b-9ac8-4c5d-bfbf-50477e93f117 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.033915Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 57828a53-a8ab-4762-9e39-b04d47d2abd4 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.024446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb663060-4dc6-4bfe-824c-8876e1db157d · outbound
This paper cites 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 CRISP-SAM2: SAM2 with Cross-Modal Interaction and Semantic Prompting for Multi-Organ Segmentation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.043396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c55b8db-4f72-4555-88ed-eadecad6ef12 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.556688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 82b6fc76-7f70-4148-974a-6b55e0f4a75a · outbound
This paper cites Audio Deepfake Detection: A Survey.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Audio Deepfake Detection: A Survey
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.038535Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 632dc3fc-7bc4-4ead-a4d5-b4d44be3cc47 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.057222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 630b608a-da30-445f-b468-7fb3f44e4f3f · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.061880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d928eabe-cbda-4d43-817f-1c0c58aa9c55 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.052672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d49a60b2-bb84-4987-9707-ff1455e90da0 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.071405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c73de6f0-a80a-41e9-9f4b-c83c67fa6769 · outbound
This paper cites Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.075790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e30d1b48-9950-48f9-b164-fe5cc379c5c4 · outbound
This paper cites I Can Hear You: Selective Robust Training for Deepfake Audio Detection.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:34.066343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8eb973c4-8183-4848-ad9e-a69bf86b7028 · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T21:01:35.540729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation cd46cbed-d398-4eeb-9e2b-c9008b2a105f · outbound
This paper cites In Chinese Computational Linguistics - 23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024, Proceedings (Lecture Notes in Computer Science, Vol.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection In Chinese Computational Linguistics - 23rd China National Conference, CCL 2024, Taiyuan, China, July 25-28, 2024, Proceedings (Lecture Notes in Computer Science, Vol
Reference 60
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-15T21:01:34.084311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ad1bc87-5c1e-4803-b8cf-efb1fc6948cd · outbound
This paper cites an unresolved cited work.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Unresolved cited work
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.888516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b77384b-dc69-436d-8487-a08a19d5e829 · outbound
This paper cites Qwen2-Audio Technical Report.
ALLM4ADD: Unlocking the Capabilities of Audio Large Language Models for Audio Deepfake Detection Qwen2-Audio Technical Report
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:01:33.738068Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-17T06:30:58.91139+00:00.