Paper Citation Record · LEDGER

Object-Centric Cropping for Visual Few-Shot Classification

As of 21 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2508.00218.

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

pith.paper-citation-record.v1
2508.00218 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:19:04.262001Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

27 of 27 outbound references displayed

verified exact1
verified fuzzy17
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a60351a5-2a15-403d-9726-b19e24232bea · outbound

This paper cites write newline.

Object-Centric Cropping for Visual Few-Shot Classification write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:00.812803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5265373b-5fc6-4415-aa4d-adad06076bf6 · outbound

This paper cites , " * write output.state after.block = add.period write.

Object-Centric Cropping for Visual Few-Shot Classification , " * write output.state after.block = add.period write

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:00.905877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2eda08e-2968-4ca2-8310-dd8762928d5b · outbound

This paper cites write newline.

Object-Centric Cropping for Visual Few-Shot Classification write newline

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:01.000460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 762f4db3-05e1-4928-94e5-3c46051e8ce5 · outbound

This paper cites Active learning for efficient few-shot classification.

Object-Centric Cropping for Visual Few-Shot Classification Active learning for efficient few-shot classification

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:09.615236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 06e34276-1b3f-4de6-91b0-95468a310cc7 · outbound

This paper cites Imagenet object localization challenge, 2018.

Object-Centric Cropping for Visual Few-Shot Classification Imagenet object localization challenge, 2018

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:09.332941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 841f611f-3387-4a85-ac43-021303df788a · outbound

This paper cites Easy—ensemble augmented-shot-y-shaped learning: State-of-the-art few-shot classification with simple components.

Object-Centric Cropping for Visual Few-Shot Classification Easy—ensemble augmented-shot-y-shaped learning: State-of-the-art few-shot classification with simple components

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:09.025317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cb3b9c2-56bf-494f-9645-13e38b77d4ff · outbound

This paper cites Move: Unsupervised movable object segmentation and detection.

Object-Centric Cropping for Visual Few-Shot Classification Move: Unsupervised movable object segmentation and detection

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:08.681311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a00684d1-7520-48b1-bc20-ec01c7d11ced · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Object-Centric Cropping for Visual Few-Shot Classification A simple framework for contrastive learning of visual representations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:08.391702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 37d7db25-b16a-4518-8a15-c4161ec6fcb1 · outbound

This paper cites A Closer Look at Few-shot Classification.

Object-Centric Cropping for Visual Few-Shot Classification A Closer Look at Few-shot Classification

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:01.825212Z

Source-reported events for the cited work

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Observation 13df7ac3-4803-49f0-8cbf-92cbb85e9748 · outbound

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

Object-Centric Cropping for Visual Few-Shot Classification Learning transferable visual models from natural language supervision

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:08.022094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 87e89452-cbfd-4d6b-807d-a7d7127c5783 · outbound

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

Object-Centric Cropping for Visual Few-Shot Classification Model-agnostic meta-learning for fast adaptation of deep networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:07.746844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8e80141e-6b12-4a06-8cfe-ceb61fd510cf · outbound

This paper cites Probabilistic model-agnostic meta-learning.

Object-Centric Cropping for Visual Few-Shot Classification Probabilistic model-agnostic meta-learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:07.492054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d1d1ca1e-c6f7-487c-88ea-0cf8a8d9f562 · outbound

This paper cites A simple yet effective network based on vision transformer for camouflaged object and salient object detection.

Object-Centric Cropping for Visual Few-Shot Classification A simple yet effective network based on vision transformer for camouflaged object and salient object detection

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:07.203872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c2db0f7e-2bca-4ec7-a610-a8ddb5422eb3 · outbound

This paper cites Adaptive dimension reduction and variational inference for transductive few-shot classification.

Object-Centric Cropping for Visual Few-Shot Classification Adaptive dimension reduction and variational inference for transductive few-shot classification

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:06.999710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52f38957-88aa-4035-87db-2dd5d3cbecb5 · outbound

This paper cites Segment Anything.

Object-Centric Cropping for Visual Few-Shot Classification Segment Anything

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:02.647812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd1b80f-4465-4ace-91c5-5d2a6964680a · outbound

This paper cites Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models.

Object-Centric Cropping for Visual Few-Shot Classification Multimodality helps unimodality: Cross-modal few-shot learning with multimodal models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:06.746134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 305ea5e4-2c86-44bb-9075-c385dbbb9765 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Object-Centric Cropping for Visual Few-Shot Classification On First-Order Meta-Learning Algorithms

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:02.885780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8724c7c-7d05-4217-9bd7-f31bf07b3e3e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Object-Centric Cropping for Visual Few-Shot Classification SAM 2: Segment Anything in Images and Videos

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:03.074883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b414f534-05a2-4656-a7fd-d290cc2bb973 · outbound

This paper cites Imagenet large scale visual recognition challenge.

Object-Centric Cropping for Visual Few-Shot Classification Imagenet large scale visual recognition challenge

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:06.469081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 118133f5-d2a7-4886-bec8-e80f304d3020 · outbound

This paper cites Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset.

Object-Centric Cropping for Visual Few-Shot Classification Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-06T10:19:04.686092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a900f5b0-48a6-453a-ba23-6913599b626f · outbound

This paper cites Localizing Objects with Self-Supervised Transformers and no Labels.

Object-Centric Cropping for Visual Few-Shot Classification Localizing Objects with Self-Supervised Transformers and no Labels

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:03.416813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f340a14-35d1-40c0-b265-cd3795639775 · outbound

This paper cites Active learning helps pretrained models learn the intended task.

Object-Centric Cropping for Visual Few-Shot Classification Active learning helps pretrained models learn the intended task

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:06.214235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e5fb62b-c405-4b29-b95b-fe63225d8330 · outbound

This paper cites Realistic evaluation of transductive few-shot learning.

Object-Centric Cropping for Visual Few-Shot Classification Realistic evaluation of transductive few-shot learning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:05.919259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5841709c-3e29-4d12-8ef9-fb63cdc6529a · outbound

This paper cites Eliminating feature ambiguity for few-shot segmentation.

Object-Centric Cropping for Visual Few-Shot Classification Eliminating feature ambiguity for few-shot segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:05.633893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 68dba973-db75-41ca-a0f1-853e4d459342 · outbound

This paper cites Fast Segment Anything.

Object-Centric Cropping for Visual Few-Shot Classification Fast Segment Anything

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:04.022025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 749c41b8-6c9c-4993-878c-043642db64bc · outbound

This paper cites Admnet: Attention-guided densely multi-scale network for lightweight salient object detection.

Object-Centric Cropping for Visual Few-Shot Classification Admnet: Attention-guided densely multi-scale network for lightweight salient object detection

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:05.321018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3f2fc4aa-9bd0-4b4a-aa13-9b319d4c9192 · outbound

This paper cites Transductive few-shot learning with prototype-based label propagation by iterative graph refinement.

Object-Centric Cropping for Visual Few-Shot Classification Transductive few-shot learning with prototype-based label propagation by iterative graph refinement

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T10:19:04.973444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.