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Paper Citation Record · LEDGER

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2504.19824.

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

pith.paper-citation-record.v1
2504.19824 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:46:44.581595Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

18 of 18 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8a42efd-69a3-413a-8458-6e065f047a19 · outbound

This paper cites Deep Clustering for Unsupervised Learn- ing of Visual Features, page 139–156.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Deep Clustering for Unsupervised Learn- ing of Visual Features, page 139–156

Reference 1

Resolution
verified fuzzy
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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.

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Observation bedd3ede-127c-4ca6-a6e5-8761eee1fb58 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Unsupervised learning of visual features by contrasting cluster assignments

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.844673Z

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.

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Observation de719ab9-0abb-4590-b9bc-f08731e4eff5 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Emerg- ing properties in self-supervised vision transformers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:46:44.517927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9bac8e3e-6447-49ca-ab26-8791eb6b8e6f · outbound

This paper cites A simple framework for contrastive learn- ing of visual representations.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning A simple framework for contrastive learn- ing of visual representations

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.820154Z

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.

source=pdf_text observed=2026-08-16T05:46:44.522469Z digest=sha256:ceaa0203c548a608b3fb1f5dfaef665331934d614975a5e538f9ecf6a2781675

Observation 4a1d05c2-61ed-4d07-92d9-70615e325992 · outbound

This paper cites Fast- moco: Boost momentum-based contrastive learning with combinatorial patches.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Fast- moco: Boost momentum-based contrastive learning with combinatorial patches

Reference 5

Resolution
verified fuzzy
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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.

source=pdf_text observed=2026-08-16T05:46:44.526932Z digest=sha256:16dd4ce1c55d556f6096a68d020f33edc22783b8be68c90b9bdd001a0dd2b45b

Observation 12493689-1f2d-4b57-a52f-d9de28b17f46 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Imagenet: A large-scale hierarchical image database

Reference 6

Resolution
verified fuzzy
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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.

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Observation a609c43a-94f3-49f0-adef-c4eabaf495aa · outbound

This paper cites Fei-Fei and J.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Fei-Fei and J

Reference 7

Resolution
verified fuzzy
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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.

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Observation 3cdff39a-bc2f-4580-aae9-c41d37a9f003 · outbound

This paper cites Gutmann and Aapo Hyv ¨arinen.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Gutmann and Aapo Hyv ¨arinen

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.764246Z

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.

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Observation a5aeda9a-cc10-4299-8024-d58b8dc7a265 · outbound

This paper cites an unresolved cited work.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:44.750854Z

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.

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Observation be19e02f-89bf-432c-a362-6be66c994347 · outbound

This paper cites Momentum contrast for unsupervised visual repre- sentation learning.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Momentum contrast for unsupervised visual repre- sentation learning

Reference 10

Resolution
verified fuzzy
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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.

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Observation 92e9285f-cb06-4164-a3f0-26965e77a4d2 · outbound

This paper cites Learning multiple layers of features from tiny images.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Learning multiple layers of features from tiny images

Reference 11

Resolution
verified fuzzy
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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.

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Observation 1926c6a6-9d73-4611-8007-48aef90b70e7 · outbound

This paper cites an unresolved cited work.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:46:44.709879Z

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.

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Observation aa309076-77c6-47df-9328-fa10af140012 · outbound

This paper cites Object-Aware Cropping for Self-Supervised Learning.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Object-Aware Cropping for Self-Supervised Learning

Reference 13

Resolution
verified exact
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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.

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Observation 79eda56e-5671-415b-b6da-7a9c8a86b17d · outbound

This paper cites Unsupervised visual representation learning by synchronous momentum grouping.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Unsupervised visual representation learning by synchronous momentum grouping

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.695355Z

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.

source=pdf_text observed=2026-08-16T05:46:44.565834Z digest=sha256:10d7495e7bf95ae687d996d88813b15eeed72b6071099ae03d35126888d895a0

Observation 05d71641-712d-456f-9942-90485b0b9e88 · outbound

This paper cites Crafting better contrastive views for siamese rep- resentation learning.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Crafting better contrastive views for siamese rep- resentation learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.680327Z

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.

source=pdf_text observed=2026-08-16T05:46:44.569830Z digest=sha256:f00700b305a1429fc397e66690869810ae35e37a5d62af52b46ea1d8b6a06939

Observation 944afd4b-2ed4-47ff-ad72-f1c80dee5b9a · outbound

This paper cites A survey on image data augmentation for deep learning.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning A survey on image data augmentation for deep learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.666459Z

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.

source=pdf_text observed=2026-08-16T05:46:44.573831Z digest=sha256:501ae3278cdc5737196e5e5a6f5c04a5b824de0209910a48a1b59bf584164323

Observation 9507c5b2-9de1-486b-ba87-bdd7ac4d5070 · outbound

This paper cites Improved deep metric learning with multi- class n-pair loss objective.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Improved deep metric learning with multi- class n-pair loss objective

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.650592Z

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.

source=pdf_text observed=2026-08-16T05:46:44.577698Z digest=sha256:ce3795d101cf89bef0549f426756546c8c91b59243126dd4632af551acbeff07

Observation 18638357-3ae1-43aa-a24c-33d571e18e33 · outbound

This paper cites Decoupled con- trastive learning.

Taming the Randomness: Towards Label-Preserving Cropping in Contrastive Learning Decoupled con- trastive learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:46:44.636924Z

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.

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Pith citing papers

No inbound Pith citation observations are available.