Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-16T20:27:40.572994Z
Paper Citation Record · LEDGER
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis
As of 5 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2512.18073.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:09:20.158584Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact18
- verified fuzzy37
- unresolved5
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2fbc1c98-f6f9-40f9-aae1-570b46d192de · outbound
This paper cites an unresolved cited work.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T20:28:24.838042Z
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.
Observation ee702f85-a90b-48fd-beed-95af6e401a5b · outbound
This paper cites Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond.arXiv.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond.arXiv
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.910567Z
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.
Observation 90bec160-3ef0-48af-866b-6317e14c85b1 · outbound
This paper cites Qwen3-vl technical report.arXiv.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Qwen3-vl technical report.arXiv
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.914654Z
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.
Observation 0b68447f-5594-4b67-aae4-51dd75ec3495 · outbound
This paper cites Learn to refuse: Making large language models more controllable and reliable through knowl- edge scope limitation and refusal mechanism.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Learn to refuse: Making large language models more controllable and reliable through knowl- edge scope limitation and refusal mechanism
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.912675Z
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.
Observation 729cab87-23f9-4248-8cb7-c1b3e7d3d746 · outbound
This paper cites an unresolved cited work.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T20:28:24.896612Z
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.
Observation 13f1939d-c2c0-4412-8f71-5d1ab753d551 · outbound
This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Infor- 12 Table 5.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.Science China Infor- 12 Table 5
Reference 6
- Resolution
- malformed identifier
- raw_fallback, observed 2026-05-16T20:28:24.908149Z
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.
Observation f38275b2-6bfb-427f-bde3-292a97ac07c2 · outbound
This paper cites Internvl: Scal- ing up vision foundation models and aligning for generic visual-linguistic tasks.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Internvl: Scal- ing up vision foundation models and aligning for generic visual-linguistic tasks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.898977Z
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.
Observation 43db5d6f-1847-4ab6-9044-ed89d3ebc5a0 · outbound
This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.920627Z
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.
Observation 9428013f-b96d-42a0-ae77-bbdfa6b5fe96 · outbound
This paper cites Fin- gerprint minutiae extraction using deep learning.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Fin- gerprint minutiae extraction using deep learning
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.891178Z
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.
Observation bdf6a0cb-2279-4774-81a9-4a1b78c0d149 · outbound
This paper cites Learn- ing a fixed-length fingerprint representation.IEEE transactions on pattern analysis and machine intelli- gence, 43(6):1981–1997.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Learn- ing a fixed-length fingerprint representation.IEEE transactions on pattern analysis and machine intelli- gence, 43(6):1981–1997
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.894308Z
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.
Observation b9047f19-29a9-4905-ab39-8b8dab39ac0a · outbound
This paper cites Chatgpt meets iris biometrics.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Chatgpt meets iris biometrics
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.886342Z
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.
Observation 3e34b524-ae79-42a5-ad2c-96d61d415af3 · outbound
This paper cites an unresolved cited work.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T20:28:24.916784Z
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.
Observation 538bf9ce-274d-4198-84b4-9f52050f01b2 · outbound
This paper cites Nist special database 302: Nail to nail fingerprint challenge.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Nist special database 302: Nail to nail fingerprint challenge
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.884209Z
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.
Observation 79cd23a9-97be-4fff-89ee-6f0e7cdc7150 · outbound
This paper cites Enhancement-driven pretraining for ro- bust fingerprint representation learning.Proceedings Copyright, 821:828.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Enhancement-driven pretraining for ro- bust fingerprint representation learning.Proceedings Copyright, 821:828
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.888767Z
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.
Observation f5847ae3-b9d3-4a42-9613-39dc69186aa4 · outbound
This paper cites Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Universal Fingerprint Generation: Controllable Diffusion Model with Multimodal Conditions
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.913221Z
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.
Observation 380f23f0-a9f8-49b8-a263-448afc15dbb9 · outbound
This paper cites Gqa: A new dataset for real-world visual reasoning and com- positional question answering.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Gqa: A new dataset for real-world visual reasoning and com- positional question answering
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.901562Z
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.
Observation c15dd59d-d74c-4398-a5b4-2ee44d8499f8 · outbound
This paper cites Jain, Arun A.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Jain, Arun A
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.903604Z
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.
Observation cb99ec95-ce83-4cef-9180-9d2222498b8a · outbound
This paper cites User’s guide to nist biometric image soft- ware (nbis).
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis User’s guide to nist biometric image soft- ware (nbis)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.905862Z
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.
Observation cc607f24-b701-4c39-8065-ce11f5024528 · outbound
This paper cites Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Rush, Douwe Kiela, Matthieu Cord, and Victor Sanh
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.877959Z
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.
Observation 778dbff0-0c32-4384-802d-72f87cc76025 · outbound
This paper cites What matters when building vision- language models?.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis What matters when building vision- language models?
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.880132Z
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.
Observation b1c3b4e8-af14-4396-bae4-d937103df080 · outbound
This paper cites LLaVA-OneVision: Easy Visual Task Transfer.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis LLaVA-OneVision: Easy Visual Task Transfer
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.894233Z
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.
Observation a5a5b249-3a33-48d9-ac3a-05760e0d2e2e · outbound
This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.905672Z
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.
Observation 0eec6d06-fe2b-4767-99cf-9dbd2bd08308 · outbound
This paper cites Monkey: Image resolution and text label are important things for large multi-modal models.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Monkey: Image resolution and text label are important things for large multi-modal models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.841042Z
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.
Observation 63b92f17-5d1b-450d-9197-f31bb5a1f5e1 · outbound
This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892– 34916.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Visual instruction tuning.Advances in neural information processing systems, 36:34892– 34916
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.873187Z
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.
Observation e7f12c76-12e7-4e7a-88f2-50c8f91ef447 · outbound
This paper cites Improved baselines with visual instruction tun- ing.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Improved baselines with visual instruction tun- ing
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.875567Z
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.
Observation 95c6894d-7272-4c18-8ed8-3c12e5749ca3 · outbound
This paper cites an unresolved cited work.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T20:28:24.882040Z
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.
Observation eca9c64c-ce56-4a84-b2d4-b0ac816090e0 · outbound
This paper cites Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Mmbench: Is your multi-modal model an all-around player? In European conference on computer vision, pages 216–
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.870978Z
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.
Observation 0f8ff9a4-e958-4c72-9791-2a8fac08d1c0 · outbound
This paper cites Deepseek- vl: Towards real-world vision-language understand- ing.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Deepseek- vl: Towards real-world vision-language understand- ing
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.845784Z
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.
Observation 87ce7f3b-1a15-4b53-bcca-ddcdd735ef0c · outbound
This paper cites Learn to explain: Multi- modal reasoning via thought chains for science ques- tion answering.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Learn to explain: Multi- modal reasoning via thought chains for science ques- tion answering
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.843206Z
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.
Observation 79b03fa0-a8b7-4e8d-9c8b-801761b57377 · outbound
This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.917410Z
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.
Observation b9638310-a545-4c7a-991e-aa96ac1e85c5 · outbound
This paper cites Wayman, and Anil K.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Wayman, and Anil K
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.848270Z
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.
Observation f8db56a5-439a-4fbf-88e2-e39499e0c07d · outbound
This paper cites Fvc2002: Sec- ond fingerprint verification competition.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Fvc2002: Sec- ond fingerprint verification competition
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.865873Z
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.
Observation 39f67571-809c-4b7f-b328-5020692c183b · outbound
This paper cites Fvc2004: Third finger- print verification competition.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Fvc2004: Third finger- print verification competition
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.868545Z
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.
Observation 170efe2a-7f09-4c2c-af55-9a24043bdf1d · outbound
This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.897933Z
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.
Observation 0c873e72-5ec3-48cd-baa8-60d7135f906e · outbound
This paper cites Docvqa: A dataset for vqa on document images.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Docvqa: A dataset for vqa on document images
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.861628Z
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.
Observation ce2ba9eb-7c0d-4f25-a517-d0823d474865 · outbound
This paper cites Facexbench: Evaluating multimodal llms on face un- derstanding.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Facexbench: Evaluating multimodal llms on face un- derstanding
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.888433Z
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.
Observation ad47a05c-1c63-43f4-a9bf-56440af4f905 · outbound
This paper cites Robust minutiae extractor: Integrating deep networks and fin- gerprint domain knowledge.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Robust minutiae extractor: Integrating deep networks and fin- gerprint domain knowledge
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.851108Z
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.
Observation e025b3a3-f0b0-402d-893d-3e5e263b9a7b · outbound
This paper cites Swgfast: Document #10 standards for ex- amining friction ridge impressions and resulting conclusions (latent/tenprint).https : / / www.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Swgfast: Document #10 standards for ex- amining friction ridge impressions and resulting conclusions (latent/tenprint).https : / / www
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.853747Z
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.
Observation 4b0df9c4-f486-4dc9-b94d-cdd76d70393c · outbound
This paper cites Swgfast: Document #9 standard for the documentation of analysis, comparison, eval- uation, and verification (ace-v) in tenprint opera- tions (tenprint).https : / / www.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Swgfast: Document #9 standard for the documentation of analysis, comparison, eval- uation, and verification (ace-v) in tenprint opera- tions (tenprint).https : / / www
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.859032Z
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.
Observation 6c9007a1-f835-4d75-b7ca-93c28c192b2d · outbound
This paper cites Gpt-5 system card.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Gpt-5 system card
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.863696Z
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.
Observation 10c6cf1c-210c-46a6-8117-e4473d2d9b1b · outbound
This paper cites Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.901923Z
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.
Observation 7fa81aed-931c-46b2-98a2-10e400fabdab · outbound
This paper cites FaceLLM: A Multimodal Large Language Model for Face Understanding.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis FaceLLM: A Multimodal Large Language Model for Face Understanding
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.909427Z
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.
Observation c9393c6c-9e8e-46ec-8b92-9887e8283e22 · outbound
This paper cites Shield: An evalua- tion benchmark for face spoofing and forgery detec- tion with multimodal large language models.Visual Intelligence, 3(1):9.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Shield: An evalua- tion benchmark for face spoofing and forgery detec- tion with multimodal large language models.Visual Intelligence, 3(1):9
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.856508Z
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.
Observation ca7cbeb0-0df1-462e-b153-db7ab29f2760 · outbound
This paper cites Benchmarking Foundation Models for Zero-Shot Biometric Tasks.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Benchmarking Foundation Models for Zero-Shot Biometric Tasks
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.891440Z
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.
Observation 0e8dfbc4-cbfd-47a5-b386-c0cfe345de76 · outbound
This paper cites Face-MLLM: A Large Face Perception Model.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Face-MLLM: A Large Face Perception Model
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.885484Z
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.
Observation d94a22d8-590b-4d9e-90a9-b2cf709d44a8 · outbound
This paper cites Nist fingerprint image qual- ity 2.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Nist fingerprint image qual- ity 2
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.824900Z
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.
Observation fb992026-0d6a-44b4-98c0-d2576de4df0c · outbound
This paper cites Fingerprint feature extraction by combin- ing texture, minutiae, and frequency spectrum using multi-task cnn.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Fingerprint feature extraction by combin- ing texture, minutiae, and frequency spectrum using multi-task cnn
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.829636Z
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.
Observation e7b83c58-7f91-4d7b-8933-fbf832f65183 · outbound
This paper cites Trans- former based fingerprint feature extraction.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Trans- former based fingerprint feature extraction
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.820573Z
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.
Observation c987b7c7-aa68-4e9c-998b-7e81c5d887f3 · outbound
This paper cites Fin- gernet: An unified deep network for fingerprint minu- tiae extraction.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Fin- gernet: An unified deep network for fingerprint minu- tiae extraction
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.827328Z
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.
Observation 30758920-0e7a-4025-adab-ec43b136e5a6 · outbound
This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Chameleon: Mixed-Modal Early-Fusion Foundation Models
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.866861Z
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.
Observation 58915048-4dd1-4e1f-ab30-086ee373dca1 · outbound
This paper cites an unresolved cited work.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-05-16T20:28:24.834733Z
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.
Observation 2a3952ac-8cd6-44e4-8a44-9b5cbad8fb43 · outbound
This paper cites Gemma: Open Models Based on Gemini Research and Technology.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Gemma: Open Models Based on Gemini Research and Technology
Reference 52
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.863969Z
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.
Observation dd6b0793-065a-4ec9-a03c-413111365b88 · outbound
This paper cites Gemma 2: Improving Open Language Models at a Practical Size.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Gemma 2: Improving Open Language Models at a Practical Size
Reference 53
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.882479Z
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.
Observation 77db11c0-b572-47a8-91e9-a8d0dd97b56e · outbound
This paper cites Digital identity guidelines.NIST Special Publication NIST SP 800-63-4.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Digital identity guidelines.NIST Special Publication NIST SP 800-63-4
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.822755Z
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.
Observation 2dfba8a0-4141-410b-91c3-67ee460bec56 · outbound
This paper cites Document collection visual question answer- ing.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Document collection visual question answer- ing
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.832039Z
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.
Observation 397d8c4f-24cb-45fd-bb0d-f6507ebd6abe · outbound
This paper cites A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.873200Z
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.
Observation 06b1a7b6-3461-4e87-9e83-1757a1475847 · outbound
This paper cites SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models
Reference 57
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.879233Z
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.
Observation 85c9599b-0172-432d-a938-f3a78a858599 · outbound
This paper cites EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.876399Z
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.
Observation 4bb3b7cc-4673-4314-9c3e-726c7e7c2a0f · outbound
This paper cites A survey on mul- timodal large language models.National Science Re- view, 11(12):nwae403.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis A survey on mul- timodal large language models.National Science Re- view, 11(12):nwae403
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.814859Z
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.
Observation 7321046b-b0e6-4dfb-8485-eed3ecb53c87 · outbound
This paper cites Mmmu: A mas- sive multi-discipline multimodal understanding and reasoning benchmark for expert agi.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis Mmmu: A mas- sive multi-discipline multimodal understanding and reasoning benchmark for expert agi
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-16T20:28:24.817157Z
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.
Observation b5fcee5f-3c57-4439-b084-b6121ca1efb6 · outbound
This paper cites PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Reference 61
- Resolution
- verified exact
- local_arxiv, observed 2026-05-16T20:28:23.870133Z
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.
Observation 90e39c78-bc3e-49ce-a5e1-885a1e27465e · outbound
This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.
FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Reference 62
- Resolution
- malformed identifier
- local_arxiv, observed 2026-05-16T20:28:23.860649Z
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.
Pith citing papers
Observation afedfa19-36c2-4772-8328-0fae7f2014f1 · inbound
SLAPBench: Benchmarking Multimodal Large Language Models for Four-Finger SLAP Fingerprint Verification cites this paper.
SLAPBench: Benchmarking Multimodal Large Language Models for Four-Finger SLAP Fingerprint Verification FPBench: A Comprehensive Benchmark of Multimodal Large Language Models for Fingerprint Analysis
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:09:20.158584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.