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Paper Citation Record · LEDGER

Long-tail learning via logit adjustment

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 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

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:52:23.112236Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

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

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T21:47:28.193374Z digest=sha256:37881cedcb00a2a85c54c49ebb5712f6277a6ecce383d85fbed425dbf504cfa2

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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no resolver link, observed 2026-08-06T18:52:23.112236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:52:23.112236Z digest=sha256:4f327df021e3231158893ae4116340ae89f83d6b38e3b1ac29e8d8398060d3fa

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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no resolver link, observed 2026-08-06T16:10:22.148947Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:10:22.148947Z digest=sha256:026fdbf88ad977aac275d6d3016ae6131e9956f040d6b438bbfa4f60f48d28bc

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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no resolver link, observed 2026-08-06T13:10:09.800171Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:09.800171Z digest=sha256:35e222b94ab6c1cd3ae59290aa375467a59fdd065a2e60f0277f6e6e20e379b4

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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no resolver link, observed 2026-08-06T11:38:56.618700Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:38:56.618700Z digest=sha256:54f95c7de68b6f46f7cbf408f5f86711e154ff76b772bbab7e35dd8fa7ab51db

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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no resolver link, observed 2026-08-05T12:19:02.321902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:19:02.321902Z digest=sha256:2cdcb937e5fce920c6b15de085754eb186e3bf2f8b01a867c848315dc024a040

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-18T18:02:53.616778Z digest=sha256:e819e62fea491e53b1f69d4ab27ff52a381ec5f297cf914f304ec86d42d22488

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T13:00:19.490600Z digest=sha256:ae837b59232fb46a15a881e1fbb4100e361cdb7ef4ccc8f2cb1d5da1f6d80092

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-16T20:30:46.257041Z digest=sha256:8cd1f0d06a7f7b1dd4d91bd22366f171468f7e83459a1ad8996326f2992b4737

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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unresolved
no resolver link, observed 2026-07-13T12:32:53.989741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:32:53.989741Z digest=sha256:cce01ce1930ff94edaf02181d0a0d3438361ac721734af94c55690d1c5c69b1a

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T17:30:53.847229Z digest=sha256:3de6dc57e175bc3c37342a2854e2ee69570059efe4aeb7e7681db7e7c14caab6

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T01:23:31.907373Z digest=sha256:265f2b185326722d75a559bc898bfa677af23f1d9a7eb418f946e743ab827566

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-08T18:28:39.171830Z digest=sha256:5776e140b74bb51622598126e701edfed28d27fe4fdd94feccf78e6b570c3290

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-01T00:30:39.185222Z digest=sha256:24dcd0127f8ef9392833047ef71cc339e921154b536972f8525ec93e51bc8902

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T02:19:25.805509Z digest=sha256:4d00fa053842eb47fb582706d3fa70d83a1ca4b1e24f5fe43eea16dd46b02a90

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T04:46:18.980145Z digest=sha256:120f1d5e863e52725f92a220560c7d61c86f89c7a5b6168279fa4ac5424bfd63

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-26T10:29:04.711627Z digest=sha256:e9e16a6f9e45564b43928d79df8049856b50118b84ebe24de3fc8ad9392aa66f

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T04:35:43.680865Z digest=sha256:246682cdc9527278fff5180f5183e65e2786f52d0430b670f69e2830d80b1922

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-02T20:09:39.018715Z digest=sha256:4c878181a63cf7b6fca0fb9daf70cbb2bb5b7dcd2a404bb7cf22b89d11557498

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

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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:a5731becc8765e48947943a6cbae8b56eb00075dd5e7b3d0476b2802a0245749

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

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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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-08T14:28:53.113476Z digest=sha256:c200a772a605028ef4d0b10ecc1099e37e3c8844effd6fea2790a3bf26b20297

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

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

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source=pdf_text observed=2026-08-01T08:32:19.235442Z digest=sha256:00a7829f728287a26ec6909297752ae47df43ee8797335e6b77e697d275f5474

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T06:11:12.208753Z digest=sha256:8c918addd26a59bfc5b5051e682dea96c0c730abaa619aa87ac7c33e6bdfcf7d

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:16.627528Z digest=sha256:e33d96612f0ecf74f21f8af2f1d6fb528bcc4b67a125607135a378e8af7a03f9