Paper Citation Record · LEDGER

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification

As of 7 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.08248.

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

pith.paper-citation-record.v1
2507.08248 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:28:39.825068Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

verified exact1
verified fuzzy6
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5cb40a09-6b4a-493d-9284-39ebb716094b · outbound

This paper cites Lücking, M.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Lücking, M

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:28:41.691823Z

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.

Observation b39b0aa6-f883-4678-9c7a-3da20bc54bc1 · outbound

This paper cites URL: https://kaggle.com/ competitions/fungi-clef-2025.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification URL: https://kaggle.com/ competitions/fungi-clef-2025

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:28:41.549869Z

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.

Observation 8eeba1e5-7f2c-4793-852e-4a6fac1f7ce2 · outbound

This paper cites an unresolved cited work.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:28:41.382353Z

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.

Observation 5f3d52d5-f309-4076-9927-54b85d0c270c · outbound

This paper cites Picek, M.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Picek, M

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:28:41.243924Z

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.

Observation a3c064cc-a374-480b-80dc-0e6e79bd0b01 · outbound

This paper cites FungiTastic: A multi-modal dataset and benchmark for image categorization.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification FungiTastic: A multi-modal dataset and benchmark for image categorization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:37.780265Z

Source-reported events for the cited work

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Observation 76b0f525-090f-472f-ab87-e1732fe13493 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:37.889794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 079824e7-20ab-4916-8b19-b6068e915d7b · outbound

This paper cites an unresolved cited work.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:28:41.104450Z

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.

Observation 266dba0d-94df-47af-b77b-c7167231b137 · outbound

This paper cites Swin Transformer V2: Scaling Up Capacity and Resolution.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Swin Transformer V2: Scaling Up Capacity and Resolution

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:38.053393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b51c3d-bbd8-4add-8b60-c8915a32d9c9 · outbound

This paper cites an unresolved cited work.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-06T18:28:40.969966Z

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.

Observation 7d213643-8a83-44d6-8f6d-a9feffc7ca09 · outbound

This paper cites Goëau, J.-C.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Goëau, J.-C

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-06T18:28:40.282013Z

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.

Observation 267274b2-d0f2-4565-a907-d1dd8198d698 · outbound

This paper cites Hughes, Demystifying PyTorch’s WeightedRandomSam- pler by example, 2024.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Hughes, Demystifying PyTorch’s WeightedRandomSam- pler by example, 2024

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:28:40.738540Z

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.

Observation a53bcc28-a824-41d7-b474-d1cdccb63f62 · outbound

This paper cites mixup: Beyond Empirical Risk Minimization.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification mixup: Beyond Empirical Risk Minimization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:38.439210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f529de4-8fb9-48c7-850a-ed794d39c9bd · outbound

This paper cites URL: http://www.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification URL: http://www

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:38.551996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8e14d0b-dda1-43b5-8c82-714c3d7ef045 · outbound

This paper cites URL: https://docs.pytorch.org/docs/stable/generated/torch.nn.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification URL: https://docs.pytorch.org/docs/stable/generated/torch.nn

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:28:40.596142Z

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.

Observation 94682d8e-699d-4cc0-9efe-af9a62fd6219 · outbound

This paper cites Poulinakis, Img_Premature_Ending-Detect_Fix.py, 2021.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Poulinakis, Img_Premature_Ending-Detect_Fix.py, 2021

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:28:40.461898Z

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.

Observation b28f91aa-6741-4eb6-9fb3-e543a934d55d · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Adam: A Method for Stochastic Optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:38.756830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f69cfa3f-f75a-458c-99fe-76191b6babca · outbound

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

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification DINOv2: Learning Robust Visual Features without Supervision

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:38.851951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db99ef12-5d1a-4121-a0e1-e5a95e5e8e71 · outbound

This paper cites BEiT: BERT Pre-Training of Image Transformers.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification BEiT: BERT Pre-Training of Image Transformers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:38.945217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cffc10e-1e26-4be0-baac-c058863bfebb · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.057393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd58dfe2-e3a1-46bb-8832-e24060a5340a · outbound

This paper cites Manifold Mixup: Better Representations by Interpolating Hidden States.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Manifold Mixup: Better Representations by Interpolating Hidden States

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.107710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69267ea2-a54a-47d6-a61b-ea026311b5a6 · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.203888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52619873-62f2-4ae5-b7e8-ee5e7cf14f71 · outbound

This paper cites BioBERT: a pre-trained biomedical language representation model for biomedical text mining.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.281242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 775010cd-40c3-4790-a8f6-6eeae7a95782 · outbound

This paper cites GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.375729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70551241-aa2a-4512-8222-e13f3a620591 · outbound

This paper cites BioCLIP: A Vision Foundation Model for the Tree of Life.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification BioCLIP: A Vision Foundation Model for the Tree of Life

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.441877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06b1c909-eec2-4b78-8015-45453a9a5aa7 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Learning Transferable Visual Models From Natural Language Supervision

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.563062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b3c73f1-adaf-4896-b30a-5cabb5f8348b · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Gemma: Open Models Based on Gemini Research and Technology

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.651520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7365254-f4bb-468c-a9f4-153a1c57c808 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.749140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96967a0-8312-48b4-91f8-a8d4a7bc318b · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Transfer Learning and Mixup for Fine-Grained Few-Shot Fungi Classification LLaMA: Open and Efficient Foundation Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:39.825068Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.