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Paper Citation Record · LEDGER

Continual Few-shot Adaptation for Synthetic Fingerprint Detection

As of 6 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2603.14632.

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

pith.paper-citation-record.v1
2603.14632 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-15T10:54:23.202734Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

31 of 31 outbound references displayed

  • verified exact6
  • verified fuzzy25
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51c38d74-00af-4356-b6af-e49026fa853b · outbound

This paper cites Best practices in testing and reporting performance of biometric devices.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Best practices in testing and reporting performance of biometric devices

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.024679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:e24572730c176f5ba111feda21564374d14617adf1bd302c3c2ff01e8a403f4d

Observation 45bafaaa-cf17-424a-ad39-e2a393e4b75f · outbound

This paper cites Fingerprint spoof buster: Use of minutiae-centered patches.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Fingerprint spoof buster: Use of minutiae-centered patches

Reference 2

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raw_fallback, observed 2026-05-15T10:55:29.006261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 5cc9381d-a3e0-4e3b-96de-35338a3223be · outbound

This paper cites Biometric template security: Challenges and solutions.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Biometric template security: Challenges and solutions

Reference 3

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verified exact
arxiv_id, observed 2026-05-15T10:55:28.617478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 3ec4d15b-4ce7-4f07-83dc-9bbc3970b3c6 · outbound

This paper cites Synthetic fingerprint-database generation.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Synthetic fingerprint-database generation

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.046965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:277c7f58e665ead47ab6d0cd05defb28f89474e71ec9d34880b157a98d9d1f17

Observation c4704c40-5b1c-4d15-9691-6a803dd6086a · outbound

This paper cites Printsgan: Synthetic fingerprint generator.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Printsgan: Synthetic fingerprint generator

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.045170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:818639ca35d5daf5861a5ab8ecf3c7914c1cc85e147ec7ecb460a787bb92dc75

Observation 267bdbab-1956-4507-a754-3b21728d8b9a · outbound

This paper cites Fingerprint synthesis: Search with 100 million prints.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Fingerprint synthesis: Search with 100 million prints

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.048779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:fbd61f0ee166bdffc1bda3be00e12fe64e21ff7ff4d3273f91c662ead9133cfe

Observation 6b3232a9-a6aa-44ec-9a91-46ad2350f6eb · outbound

This paper cites Fpgan-control: A controllable fingerprint generator for training with synthetic data.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Fpgan-control: A controllable fingerprint generator for training with synthetic data

Reference 7

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raw_fallback, observed 2026-05-15T10:55:29.010468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:5e7f360a2a10a658ae26666b22330b54c212494883a519e60c861157f91dda4d

Observation 641c228c-a796-4b69-b278-f6455652cbba · outbound

This paper cites Universal fingerprint generation: Con- trollable diffusion model with multimodal conditions.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Universal fingerprint generation: Con- trollable diffusion model with multimodal conditions

Reference 8

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.030010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:c49139775420821915fc8a51f22cadb9b4cbd3e4ba9aac88f3eb2d3f96cc30e1

Observation 98a6f588-ba6c-44ee-93d8-faa9fd8ebdbf · outbound

This paper cites Open set fingerprint spoof detection across novel fabrication materials.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Open set fingerprint spoof detection across novel fabrication materials

Reference 9

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raw_fallback, observed 2026-05-15T10:55:29.031987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:0c3734c2cbab313e848d77ad9d8d1475634c4ff3f8335f1334dadeb361d81575

Observation 9dd56599-9351-42f4-949a-24d84cbe5ee4 · outbound

This paper cites Few-shot learner generalizes across ai-generated image detection.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Few-shot learner generalizes across ai-generated image detection

Reference 10

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raw_fallback, observed 2026-05-15T10:55:29.039559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 438630b1-46c4-4bca-b17e-ceeaa137eb82 · outbound

This paper cites End-to- end reconstruction-classification learning for face forgery detection.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection End-to- end reconstruction-classification learning for face forgery detection

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.035719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2fd1dc0c-e75e-45d2-9afd-e3ae6d8a44b9 · outbound

This paper cites Vikriti-id: A novel approach for real looking fingerprint data-set generation.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Vikriti-id: A novel approach for real looking fingerprint data-set generation

Reference 12

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raw_fallback, observed 2026-05-15T10:55:29.004184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:0a32fb728d6363770bfe7357b98709175a3ab9b91af361179f2d2b67fabe2157

Observation a2c0e233-e73b-41a8-9853-d4d745fa9352 · outbound

This paper cites Marcel, M.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Marcel, M

Reference 13

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.028162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:52153334733f50e4614e425218fc86fdc78051967fbc4e3a4c148673b3453312

Observation 89c9e027-3420-40a2-aabe-db6035f5a87b · outbound

This paper cites Fingerprint Spoof Generalization.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Fingerprint Spoof Generalization

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T10:55:28.604642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:7f885263881c60f1c0f1659b3c0698a5727f340f6b4943bdc3c0507eaf8126ab

Observation cbd6fdc4-9aa6-4a69-b51e-0ad47d36e4da · outbound

This paper cites Fingerprint presentation attack detection: A sensor and material agnostic approach.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Fingerprint presentation attack detection: A sensor and material agnostic approach

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.041487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:31980f502e1886cf6b798a6d3d7214e9451486f9f20987aec35e39442b39468e

Observation 13460519-cfcc-4c42-96bf-ed95c5128a06 · outbound

This paper cites Overcoming catastrophic forgetting in neural networks.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Overcoming catastrophic forgetting in neural networks

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.002101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:47a11af601ab66c8a5d8af549e4312609d5d007528c2472aef40e3203553afd5

Observation bd423df5-edcb-4dff-88e9-f197ab3f4b09 · outbound

This paper cites On Tiny Episodic Memories in Continual Learning.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection On Tiny Episodic Memories in Continual Learning

Reference 17

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verified exact
local_arxiv, observed 2026-05-15T10:55:28.621583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:bcc31a85df1fde3ab02b9b7361a9837d94fc4a1324f86292b76ade003cbb80ad

Observation a67fd4b8-bab9-4a31-a719-a3bcb3de9c38 · outbound

This paper cites Learning a unified classifier incrementally via rebalancing.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Learning a unified classifier incrementally via rebalancing

Reference 18

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raw_fallback, observed 2026-05-15T10:55:29.043366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:3ed69523617f8aa3c78947ab6eed0063ccd26142cecb036f0bb8cc3c319a4217

Observation d385fd35-7646-4fab-8b05-c12da3ab84a4 · outbound

This paper cites Lifelong Learning with Dynamically Expandable Networks.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Lifelong Learning with Dynamically Expandable Networks

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-15T10:55:28.608505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:ef62ec02c32f2c24cd38f7f288885f8d1c7d76973dc1f7d516aa35424b0fe918

Observation 454827b2-ca67-4ec0-835e-4d06817e12c0 · outbound

This paper cites Prototypical networks for few-shot learning.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Prototypical networks for few-shot learning

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.026541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:ca049a290c450e21587835d4764f9ccd4d93185c92fbc56c048c5612eeee3713

Observation b63a1b03-03de-4ba4-8f0d-78dae1c4c222 · outbound

This paper cites Matching networks for one shot learning.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Matching networks for one shot learning

Reference 21

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verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.018722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:647d3cea95b9038633310d96a0ad76ff8c78c62452ccbc080ceb153263659129

Observation 6d961e4f-8fd9-4b54-b38a-31e550d1ccdc · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Model-agnostic meta-learning for fast adaptation of deep networks

Reference 22

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raw_fallback, observed 2026-05-15T10:55:29.020899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:a15736fe346a556958bea812557d20d5f84b2c1c22967942b4bf967f45ecff8b

Observation d3888be0-19c9-4dcf-a026-ce6321ce6e33 · outbound

This paper cites Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Reference 23

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verified exact
arxiv_id, observed 2026-05-15T10:55:28.600704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:b461c5e7b7ee0da9179bd3bac951734cdfcd1e84fb6db263595935357f03a070

Observation 3a15f82d-0be7-410f-a665-972212a62511 · outbound

This paper cites Faceforensics++: Learning to detect manipulated facial images.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Faceforensics++: Learning to detect manipulated facial images

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.033822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:21b08c3cef2e93c995631dea13f17dcca7b36d39c964e84e1678c99796219b03

Observation 6e600375-8d35-448b-955b-2f07ad9913cf · outbound

This paper cites Any-resolution ai-generated image detection by spectral learning.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Any-resolution ai-generated image detection by spectral learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.014778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:1d4904ba57048fc95264791a74e036b62aa1057587c40d8d3477e2a124fddff5

Observation a7eae81a-c5a8-496e-8093-40a46498241d · outbound

This paper cites Fingerprint synthesis: Evaluating fingerprint search at scale.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Fingerprint synthesis: Evaluating fingerprint search at scale

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.016819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:c439f74642e9d36dd246a97544e7190cba4608fa3073423ab88d60050b711a6b

Observation 65b2394d-d280-4010-be59-9f1418baf25b · outbound

This paper cites Multisensor optical and latent fingerprint database.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Multisensor optical and latent fingerprint database

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.012697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:e178ade430f3d30b1a5e1f6ecf1a572977a65ba555f8d27b32c5eba35e7a6c13

Observation 722bd688-9919-4141-81f4-ff68227c9b7f · outbound

This paper cites A latent fingerprint in the wild database.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection A latent fingerprint in the wild database

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.037700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:841fb7ef3da6a3edc569a4d4551fa6bfc42d5ee4b3607c707d9631c2ecac5b09

Observation 90d643c3-079c-4422-a437-30ebb403b7c8 · outbound

This paper cites Supervised contrastive learn- ing.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Supervised contrastive learn- ing

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.022772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:5cc45bfad5040daa4fd18bdac738680d7678d363308f0459b7d7c4b6b6b3ed18

Observation 2b596d6d-650c-44e7-8710-39facb7d347f · outbound

This paper cites Learning transferable visual models from natural language supervision.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection Learning transferable visual models from natural language supervision

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-15T10:55:29.008504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:c5bdf9099b84b9cd3a15dd13e3d44215b408fc307bfe46e5a90e9e20d3602a5b

Observation 88db65c3-681c-4d49-ac5a-9d328ae3ed3a · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Continual Few-shot Adaptation for Synthetic Fingerprint Detection DINOv2: Learning Robust Visual Features without Supervision

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-05-15T10:55:28.612976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T10:54:23.202734Z digest=sha256:45e9b31992aaee8d9d76500c502f0f09681f2f9c8fd85f9ef34b037cff75788a

Pith citing papers

No inbound Pith citation observations are available.