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Paper Citation Record · LEDGER

Long-tail learning via logit adjustment

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:2007.07314.

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

pith.paper-citation-record.v1
2007.07314 v2

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:08:07.863923Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-08T14:35:02.368754Z

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Outbound references

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Pith citing papers

Observation 72ce2047-b39e-4c62-9b64-68449dca607e · inbound

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond cites this paper.

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Long-tail learning via logit adjustment

Reference 76

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arxiv_id, observed 2026-05-23T21:48:28.710728Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-23T21:47:28.193374Z digest=sha256:af3fe1aeebfc470590bdc3851f2c1d25fc7ee65bbae5f5ad4003147323a43ece

Observation 03c8e7fe-2065-48c1-82e5-bf8ae0e972b5 · inbound

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation cites this paper.

Leadsee-Precip: A Deep Learning Diagnostic Model for Precipitation Long-tail learning via logit adjustment

Reference 22

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source=pdf_text observed=2026-08-12T17:24:59.836934Z digest=sha256:e40b99369b58f1c10a8d68fdc32a47f89c9a8deba53406f4bbb690bda3afe77f

Observation adb97b93-b759-4f6a-8cb9-bcaa9123763b · inbound

Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation cites this paper.

Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation Long-tail learning via logit adjustment

Reference 40

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source=pdf_text observed=2026-08-12T16:58:53.434650Z digest=sha256:f92f24bae9292e62f1b5f7c0c3c986357ae9df61afd25db381b901a8a307d5be

Observation 8e064955-9cdb-4802-97e1-c9224816f991 · inbound

The Pitfalls of Memorization: When Memorization Hurts Generalization cites this paper.

The Pitfalls of Memorization: When Memorization Hurts Generalization Long-tail learning via logit adjustment

Reference 44

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source=arxiv_source observed=2026-08-11T18:45:41.093817Z digest=sha256:169a38ff206a869e614d00ed30a77d46faa985129a23a24b79896fd29ada77ef

Observation b7ca0b0d-5f45-46d3-a55d-fa95faf81165 · inbound

Unleashing the Potential of Model Bias for Generalized Category Discovery cites this paper.

Unleashing the Potential of Model Bias for Generalized Category Discovery Long-tail learning via logit adjustment

Reference 26

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source=arxiv_source observed=2026-08-11T14:05:56.889961Z digest=sha256:50ebd915695647539064dc2a0b625866621ef4da1a5fa6bcd075760b5418e43f

Observation 4ba92004-6628-4f40-b196-e49f83adc5db · inbound

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning cites this paper.

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning Long-tail learning via logit adjustment

Reference 21

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source=pdf_text observed=2026-08-11T13:57:49.311819Z digest=sha256:38a5168a7ed1c8e42403d26748cdb7e23587bdc699e2454a24dede6490e20adc

Observation 2b46719a-e9b5-41d9-9fc4-8f22f8d7ada2 · inbound

Cluster-guided Contrastive Class-imbalanced Graph Classification cites this paper.

Cluster-guided Contrastive Class-imbalanced Graph Classification Long-tail learning via logit adjustment

Reference 31

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source=arxiv_source observed=2026-08-11T13:34:07.203479Z digest=sha256:ec09715ece58f0c1803dbfb5b60cfeace8288a9b6f7cb2142b2184fcd7c3c069

Observation 9730ac3c-17cf-4d63-898f-cf0b242ef0eb · inbound

Prior2Posterior: Model Prior Correction for Long-Tailed Learning cites this paper.

Prior2Posterior: Model Prior Correction for Long-Tailed Learning Long-tail learning via logit adjustment

Reference 23

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source=pdf_text observed=2026-08-11T10:35:05.820125Z digest=sha256:7fa27d22fd8c2ac4a999ffb144ad2845fb21cfa55932ea5a041952469774a2c6

Observation 8efe0ef8-4253-4961-af56-28ea91dda14c · inbound

Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model cites this paper.

Class Imbalance in Anomaly Detection: Learning from an Exactly Solvable Model Long-tail learning via logit adjustment

Reference 26

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source=arxiv_source observed=2026-08-10T18:07:32.948335Z digest=sha256:c21e5feefa18f20c9b4fd5164db4dd74aa6b04d5e6227871109cdbfd2dfa8dc0

Observation e292c57f-73cf-46c9-adfa-7e4d60c73182 · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Long-tail learning via logit adjustment

Reference 61

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source=arxiv_source observed=2026-08-10T17:30:21.458069Z digest=sha256:4b938a96a0def2fe65b045374cd66af5c1a7d3e64b2c5afb163309c379ece45a

Observation eb36b840-1ed6-436f-b19e-48fb0abae7b2 · inbound

Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques cites this paper.

Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques Long-tail learning via logit adjustment

Reference 28

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source=pdf_text observed=2026-08-10T15:41:36.826956Z digest=sha256:0ac40834f1b945fd710e442949e045bb3e0dd12751072d45678636cf9e87e1d4

Observation 01585da6-62c6-46d1-bcd2-acfeb9e2fd20 · inbound

Rethinking the Bias of Foundation Model under Long-tailed Distribution cites this paper.

Rethinking the Bias of Foundation Model under Long-tailed Distribution Long-tail learning via logit adjustment

Reference 18

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source=arxiv_source observed=2026-08-10T13:54:57.649152Z digest=sha256:927606473ced5d0352499a904ce3475f37e62c34fff6ccafd75dc97d8d0056bf

Observation 99139c97-745a-45f9-9d2d-8c93faaa5cea · inbound

Improving realistic semi-supervised learning with doubly robust estimation cites this paper.

Improving realistic semi-supervised learning with doubly robust estimation Long-tail learning via logit adjustment

Reference 33

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source=arxiv_source observed=2026-08-09T19:42:54.317448Z digest=sha256:fb02ca99647ba3c68e34a418285203c80e0ac89e773e72e92c0d2b791a131f35

Observation 7fb272c1-e75f-44c5-8d44-47359ac82ca9 · inbound

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning cites this paper.

ULFine: Unbiased Lightweight Fine-tuning for Foundation-Model-Assisted Long-Tailed Semi-Supervised Learning Long-tail learning via logit adjustment

Reference 38

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source=pdf_text observed=2026-08-15T23:17:53.708179Z digest=sha256:bae05131e9c050461f6c8db071cc5a6445e5b7c97ae422ead578330624f7c37e

Observation 5f167d5e-5224-4ce5-91d2-fcece86e387e · inbound

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images cites this paper.

MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images Long-tail learning via logit adjustment

Reference 68

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source=pdf_text observed=2026-08-07T14:31:16.065848Z digest=sha256:3cbaacdd5cb8e232e6936b9164b85d7fc485a42af719c74689ac9a0e13d4c9ef

Observation 57d492da-2c6e-4a5b-913c-78c59fc89bcd · inbound

Aligned Contrastive Loss for Long-Tailed Recognition cites this paper.

Aligned Contrastive Loss for Long-Tailed Recognition Long-tail learning via logit adjustment

Reference 29

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source=pdf_text observed=2026-08-07T11:57:32.543335Z digest=sha256:1c11b6fe0c09800b3d8da4302365f2d22d4462e92444d68a1755d9228faf6f2a

Observation 320774af-3b8c-44e3-b351-eb4d59e03e70 · inbound

Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification cites this paper.

Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification Long-tail learning via logit adjustment

Reference 22

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source=pdf_text observed=2026-08-07T11:50:21.716831Z digest=sha256:53cf9147c12ddef82094152ab5606be4dbcb60a362fb6b65cda936bbc7244c66

Observation bc4de5f0-85be-4b90-bb6a-f8d193ae3a9e · inbound

Tuning the Right Foundation Models is What you Need for Partial Label Learning cites this paper.

Tuning the Right Foundation Models is What you Need for Partial Label Learning Long-tail learning via logit adjustment

Reference 34

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source=pdf_text observed=2026-08-07T10:32:10.298859Z digest=sha256:a0d9ba7976b959a63ccc812fac71c92c927facd2db8df219d0988845d8603128

Observation 0bb64b87-fe0b-4f6e-b461-09230447b052 · inbound

Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression cites this paper.

Mixture Experts with Test-Time Self-Supervised Aggregation for Tabular Imbalanced Regression Long-tail learning via logit adjustment

Reference 28

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source=pdf_text observed=2026-08-07T05:50:25.507091Z digest=sha256:cebe112c3b049f16d9f32956aa191df0f2ad050b3cd26d9d4285b76f63ded637

Observation a1a6a84e-609b-4f98-80a8-d087f21bb760 · inbound

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining cites this paper.

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining Long-tail learning via logit adjustment

Reference 5

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source=pdf_text observed=2026-08-15T18:29:35.051045Z digest=sha256:f809c1004604a06382a68771dc6b80d8ff2c2442ad9db2b5a8484547f2dc5c6c

Observation 14728c40-f392-4d7c-a238-ff1284e334ac · inbound

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts cites this paper.

Addressing Imbalanced Domain-Incremental Learning through Dual-Balance Collaborative Experts Long-tail learning via logit adjustment

Reference 26

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source=arxiv_source observed=2026-08-06T18:52:23.112236Z digest=sha256:0a3bc8e4c13e40db3a13f18dd93f79e8739cce358b5a3317a1169cf69e5c5c8b

Observation 793a43ec-dedc-4571-a3ef-88b76e5c22c8 · inbound

Generative Distribution Distillation cites this paper.

Generative Distribution Distillation Long-tail learning via logit adjustment

Reference 36

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source=arxiv_source observed=2026-08-06T16:10:22.148947Z digest=sha256:4a237888887a69f57a1a4f309dcb86e11227ee2a9441decaaa66a8c55b2123a2

Observation 9e233bdf-0c06-4caf-9236-959977a71272 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data Long-tail learning via logit adjustment

Reference 209

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source=pdf_text observed=2026-08-06T13:10:09.800171Z digest=sha256:2b9c633aad7cd5c5e9a86f8f448af1fe3fd34a9984c10bd6f89b2addd18f9d7a

Observation fd97f432-1363-4381-8fcd-60845f85cb83 · inbound

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound cites this paper.

Subtyping Breast Lesions via Generative Augmentation based Long-tailed Recognition in Ultrasound Long-tail learning via logit adjustment

Reference 13

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source=pdf_text observed=2026-08-06T11:38:56.618700Z digest=sha256:a75bd8f01617fb36a5a040e1175341d115089a788b2d4a910670064a74ceabc5

Observation afd90176-780b-44be-a953-eae5cdb2b74e · inbound

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition cites this paper.

Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition Long-tail learning via logit adjustment

Reference 9

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source=pdf_text observed=2026-08-05T12:19:02.321902Z digest=sha256:fae79bf1987187501ae9a02751a88563647fb17faeb3339a23f4b119f28cdd55

Observation 5f589dbe-9eb9-4341-a0e8-07fa91d3c063 · inbound

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios cites this paper.

LoFT: Parameter-Efficient Fine-Tuning for Long-tailed Semi-Supervised Learning in Open-World Scenarios Long-tail learning via logit adjustment

Reference 20

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arxiv_id, observed 2026-05-18T18:06:43.118062Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-18T18:02:53.616778Z digest=sha256:0a3fa6bc79c0a5a7ea3e515da9aa5e6aa23bd46bcf16c8a75d07cb2b608307f0

Observation 83c491e3-f447-4f7e-9cad-a2290d44fbe1 · inbound

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression cites this paper.

SPECTRA: Spectral Domain-Aware Graph Generation for Imbalanced Molecular Property Regression Long-tail learning via logit adjustment

Reference 27

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arxiv_id, observed 2026-05-22T13:01:33.927152Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-22T13:00:19.490600Z digest=sha256:c61e2532664c01b653640c92bd8b865790be3dc25a4200ff0e58319aba7a1e6e

Observation be2ada56-80c2-498c-93fa-1be1e696095d · inbound

Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy cites this paper.

Dual-Margin Embedding for Fine-Grained Long-Tailed Plant Taxonomy Long-tail learning via logit adjustment

Reference 20

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arxiv_id, observed 2026-05-16T20:31:14.723329Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T20:30:46.257041Z digest=sha256:08367e4af167ad9733a801d52d2ac765e2b722336253342976db8495c483b4e1

Observation bd96a3ec-170b-4b13-bbf0-da0cd6b7f6d2 · inbound

SciLT: Long-tailed Image Classification under Scientific Image Domains cites this paper.

SciLT: Long-tailed Image Classification under Scientific Image Domains Long-tail learning via logit adjustment

Reference 9

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source=pdf_text observed=2026-07-13T12:32:53.989741Z digest=sha256:e5af6348248e3bbeb3892a2b12135e7a7f82b4601348e9293340bee361268cb3

Observation 6fbdea24-dbf6-4916-a76c-af1e88552eda · inbound

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction cites this paper.

STaR-DRO: Stateful Tsallis Reweighting for Group-Robust Structured Prediction Long-tail learning via logit adjustment

Reference 8

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arxiv_id, observed 2026-05-11T06:41:16.591136Z

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source=pdf_text observed=2026-05-10T17:30:53.847229Z digest=sha256:8bbac1a039e30bff7c9ea0c9ace38ea6fe23f182b0706b769ed58d367bab890b

Observation 173f7a84-97cf-447a-91ad-eaa561d645c0 · inbound

Dynamic Distillation and Gradient Consistency for Robust Long-Tailed Incremental Learning cites this paper.

Dynamic Distillation and Gradient Consistency for Robust Long-Tailed Incremental Learning Long-tail learning via logit adjustment

Reference 24

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arxiv_id, observed 2026-05-12T10:51:29.538968Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T01:23:31.907373Z digest=sha256:ce6c8a959e0ea2af62c7112f9a5427a3b4238547a860c4216c18d463dd267931

Observation b833ac9b-df65-4c9d-8ece-2672f550d1db · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment Long-tail learning via logit adjustment

Reference 6

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arxiv_id, observed 2026-05-09T06:25:44.702497Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T18:28:39.171830Z digest=sha256:00b9f91933a4ac39c9c962bd68c46c1ad4dcea5ee9da13918b3214c9a792059d

Observation c911335e-623f-452f-b341-327fde892680 · inbound

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment cites this paper.

Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment Long-tail learning via logit adjustment

Reference 6

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arxiv_id, observed 2026-07-01T00:35:10.315473Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-01T00:30:39.185222Z digest=sha256:d992daff871182af361ab4aa603a67bf73cfcc74042b731d6d3d8c0eeb9734da

Observation 45621e39-fa4e-4884-b42f-034aad07865a · inbound

Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View cites this paper.

Rethinking Loss Reweighting for Imbalance Learning as an Inverse Problem: A Neural Collapse Point of View Long-tail learning via logit adjustment

Reference 8

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arxiv_id, observed 2026-05-12T02:21:16.676251Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T02:19:25.805509Z digest=sha256:c66f27790145753cc7ef303fbe13caee7de5c8702efd7b96290a8066266cfcd1

Observation db5ecf8f-c412-4491-aeb1-f65eda215898 · inbound

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data cites this paper.

Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data Long-tail learning via logit adjustment

Reference 24

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arxiv_id, observed 2026-05-12T05:56:28.637982Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T04:46:18.980145Z digest=sha256:15433613fc839f140b5f83bb1ea661e476891ad97a26ddc7016f08744859cec1

Observation eda10ebc-9ca8-4974-ab29-041ba8f268e7 · inbound

Modular Diffusion Models for Structured Visual Recognition cites this paper.

Modular Diffusion Models for Structured Visual Recognition Long-tail learning via logit adjustment

Reference 11

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arxiv_id, observed 2026-07-04T09:09:43.075013Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-26T10:29:04.711627Z digest=sha256:3b2a873ee3c6fc540d6130b4de1aa0425f0c9336f7788f18e488f771489a1188

Observation 70c7c297-c502-46e6-b85c-9b1bbaadf16c · inbound

Class-frequency Guided Noise Schedule for Diffusion Models cites this paper.

Class-frequency Guided Noise Schedule for Diffusion Models Long-tail learning via logit adjustment

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T20:03:56.717622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T04:35:43.680865Z digest=sha256:b8e504e621a951ba742abc3133e0e99e41f339b9d879c8ccb9b1e74e0f91fb62

Observation 5f390c75-48e6-4134-82fa-8b191c7e9f61 · inbound

Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention cites this paper.

Enhancing Oracle Bone Inscription Recognition via Multi-Scale Layer Attention Long-tail learning via logit adjustment

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:17:21.175615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-02T20:09:39.018715Z digest=sha256:9fc83d07bdb1ce7e7b48831a55620b547cd3b6e71a732d374c100fa12773ad0f

Observation 1214b4a9-8486-453c-ab33-4ca00479e368 · inbound

Mutually Exclusive Multiclass Lesion Segmentation in Neuroimaging: Binary-Guided Weak Supervision with Inter-Class Orthogonality cites this paper.

Mutually Exclusive Multiclass Lesion Segmentation in Neuroimaging: Binary-Guided Weak Supervision with Inter-Class Orthogonality Long-tail learning via logit adjustment

Reference 80

Resolution
unresolved
no resolver link, observed 2026-07-12T04:10:06.906293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:10:06.906293Z digest=sha256:5b636e507c8804557008f1b0d573973a9c27e3cb0b5b3f021a52aa859fb2731c

Observation 460f2d15-ba98-4011-89d3-f4fe46dc54ce · inbound

Revisiting Scene Graph Generation from the Perspective of Detector-Conditioned Reachability cites this paper.

Revisiting Scene Graph Generation from the Perspective of Detector-Conditioned Reachability Long-tail learning via logit adjustment

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T14:35:02.370643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-07-08T14:28:53.113476Z digest=sha256:e9ee7654ece0b52396735a67daf8ac200454a76002811a38094638cb3cbfff30

Observation 55fd6631-513b-47be-b4e6-9076a33cc7b7 · inbound

Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance cites this paper.

Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance Long-tail learning via logit adjustment

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T08:32:19.235442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T08:32:19.235442Z digest=sha256:1392f76b244299b7912b3fb8fe6181430cadff586a0b5541025e6e3e642205d7

Observation c1e59d48-87b2-4b7a-bf6a-3c41870b55fa · inbound

From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning cites this paper.

From Perturbation Correction to Geometry-Aware Sampling: Sharpness-Guided Equilibrium Sampling for Balanced Flat Minima in Long-Tailed Learning Long-tail learning via logit adjustment

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-01T06:11:12.208753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:11:12.208753Z digest=sha256:02ffc4cd1ea760de0f18373bdec7dbf9bfa2c9bd0359c689b942221ed930c309

Observation 481a7177-87f7-4813-bfaa-d910bdeb456e · inbound

Recurrent Contrastive Learning for Imbalanced Medical Image Classification cites this paper.

Recurrent Contrastive Learning for Imbalanced Medical Image Classification Long-tail learning via logit adjustment

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T21:24:16.627528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:16.627528Z digest=sha256:90d80251028353592a66c4015f17320b8b874afeb980e7f04ccac7509d2a13f1

Observation d456f326-78ef-4719-a4da-72db91cb0105 · inbound

Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting cites this paper.

Auditable agentic AI for evidence-grounded thyroid ultrasound diagnosis and reporting Long-tail learning via logit adjustment

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T00:08:07.863923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:08:07.863923Z digest=sha256:a041d175540e0d3175e41f2c84fe9e4ef5240afcc87fb03c0b62e8559a6c3183