Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:48:04.945469Z
Paper Citation Record · LEDGER
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training
As of 10 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.09940.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
32 of 32 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved10
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 76d6e3f8-6837-4691-895d-030c903fa038 · outbound
This paper cites Mazurowski.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Mazurowski
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.435467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d7480a8d-f10e-47f2-9385-6cf75199e94c · outbound
This paper cites Provable benefits of overparameterization in model compression: From double descent to pruning neural networks.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Provable benefits of overparameterization in model compression: From double descent to pruning neural networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.420323Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c81af38f-2aed-45cd-8b1d-b2e3bd65e9f1 · outbound
This paper cites an unresolved cited work.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Unresolved cited work
Reference 3
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 22a720df-eb85-428a-92a8-57f12edc623e · outbound
This paper cites an unresolved cited work.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Unresolved cited work
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a6f478f7-7881-4148-bc42-9d2ca1edaa23 · outbound
This paper cites an unresolved cited work.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 555e1f35-f72f-411a-9599-de9391013a05 · outbound
This paper cites Belongie.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Belongie
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.364495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 8392b0b4-4475-4375-ae6d-7f5d8359ebc9 · outbound
This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training An image is worth 16x16 words: Transformers for image recognition at scale
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41f4eca9-b1c6-43b7-bc21-c7665c9f6093 · outbound
This paper cites Gradmax: Grow- ing neural networks using gradient information.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Gradmax: Grow- ing neural networks using gradient information
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.339729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 70a7d2b7-fbf6-490c-979d-3efc4d33dc92 · outbound
This paper cites Why random pruning is all we need to start sparse.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Why random pruning is all we need to start sparse
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.324909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e857324e-ce10-4b07-a742-d8f498e8d49d · outbound
This paper cites an unresolved cited work.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:48:05.309550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0df6dc8f-383d-457d-b2a8-b5d8ba8f5431 · outbound
This paper cites Sharp: Sparsity and hidden activation re- play for neuro-inspired continual learning, 2023.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Sharp: Sparsity and hidden activation re- play for neuro-inspired continual learning, 2023
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.295358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 4d9864a8-e826-47b5-a70f-c73d9c5c2c78 · outbound
This paper cites Nice: Neurogenesis inspired con- textual encoding for replay-free class incremental learning.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Nice: Neurogenesis inspired con- textual encoding for replay-free class incremental learning
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.280758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 07d66099-92ef-4f5b-a112-25df748489dd · outbound
This paper cites an unresolved cited work.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:48:05.266528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f66ee1cd-0719-4677-ad49-a2b00530ad28 · outbound
This paper cites Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Delving deep into rectifiers: Surpassing human-level perfor- mance on imagenet classification
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.252113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 020dcebc-7f86-4b23-942d-562ef4a98439 · outbound
This paper cites Deep residual learning for image recognition.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Deep residual learning for image recognition
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:48:04.830756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b78bb330-05c7-4fde-b53e-4432e7c9e260 · outbound
This paper cites Van Horn, O.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Van Horn, O
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.227558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation b6b96cf2-bfab-4e15-8989-3d2b597afa0c · outbound
This paper cites Learning im- balanced datasets with maximum margin loss.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Learning im- balanced datasets with maximum margin loss
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.212506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c491c42b-0062-4821-9b5d-22ec5345f98b · outbound
This paper cites Adaptive t-vmf dice loss: An effective expansion of dice loss for medical image segmen- tation.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Adaptive t-vmf dice loss: An effective expansion of dice loss for medical image segmen- tation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.198850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 0e8a9339-9424-4a91-a27e-07848e750628 · outbound
This paper cites Pruning Filters for Efficient ConvNets.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Pruning Filters for Efficient ConvNets
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:48:04.854339Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 317a45d5-0056-4dcd-ae9a-69be752dac3e · outbound
This paper cites Dynamic Model Pruning with Feedback.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Dynamic Model Pruning with Feedback
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:48:04.859430Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba19c33e-00a1-4bce-8c70-eb244ab0d403 · outbound
This paper cites an unresolved cited work.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:48:05.182750Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e17b36f0-fa10-49f2-808f-ebc7a0587708 · outbound
This paper cites Very deep convolutional neural network based image classification using small train- ing sample size.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Very deep convolutional neural network based image classification using small train- ing sample size
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.167270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c0e3db15-0af3-4492-88d5-e11009b6a59a · outbound
This paper cites Large-scale long-tailed recognition in an open world.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Large-scale long-tailed recognition in an open world
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.152305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d5ae2df7-001c-4cc2-9ee0-dffac78561f9 · outbound
This paper cites Long-tail learning via logit adjustment, 2021.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Long-tail learning via logit adjustment, 2021
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.137778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 5bdde8c8-95f4-4480-81f0-06f08b35d921 · outbound
This paper cites Upscale: Un- constrained channel pruning.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Upscale: Un- constrained channel pruning
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.122542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation f116d041-5085-4e93-af04-8156acabf870 · outbound
This paper cites Learn- ing to grow pretrained models for efficient transformer train- ing.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Learn- ing to grow pretrained models for efficient transformer train- ing
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.107316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e2bcaa2a-6358-497d-b1d3-1d9d79a30e8f · outbound
This paper cites Firefly neural architecture descent: a general approach for growing neural networks.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Firefly neural architecture descent: a general approach for growing neural networks
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.091433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3cf7ae2c-89f1-4a53-9fc1-69216e8a9abc · outbound
This paper cites Masked structural growth for 2x faster language model pre- training.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Masked structural growth for 2x faster language model pre- training
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.075782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c428aed2-fbf8-490e-b9ac-a7724b31b49c · outbound
This paper cites Mambaout: Do we really need mamba for vision? arXiv e-prints, pages arXiv–2405,.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Mambaout: Do we really need mamba for vision? arXiv e-prints, pages arXiv–2405,
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.060793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ef2e7a7a-3c52-4684-89fe-733dce1baec6 · outbound
This paper cites Metaformer is actually what you need for vision, 2022.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Metaformer is actually what you need for vision, 2022
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.044600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c64d1d67-2d81-44dc-a599-c6bba7cca27d · outbound
This paper cites Yvinec, A.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Yvinec, A
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.026538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 003a8e59-1c53-4981-a73d-cfc69bf44b0d · outbound
This paper cites Zhang, K.
Long-Tailed Data Classification by Increasing and Decreasing Neurons During Training Zhang, K
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:48:05.011668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.