Pith. sign in

Paper Citation Record · LEDGER

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning

As of 7 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2604.09064.

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

pith.paper-citation-record.v1
2604.09064 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:31:42.526387Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

61 of 61 outbound references displayed

  • verified exact1
  • verified fuzzy60
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b03555b6-afbc-4e81-8585-1b59abd77130 · outbound

This paper cites The emerging trends of multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning The emerging trends of multi-label learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.466912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:380c79c3c4b7bd0fef8ac7c445cd18f771e5e39f3b051be82da2869baea9b772

Observation 2719057e-8d79-4f68-a9a3-c9316c89bd63 · outbound

This paper cites Hierarchical text classification with multi-label contrastive learning and knn.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Hierarchical text classification with multi-label contrastive learning and knn

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.300792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:34d0826efc2e60781bd9c170adb1ac33bb2ce926217670f1d6c03546444dbdea

Observation 7fa8ac97-a4b8-4735-bdd7-73bf0f7d35e9 · outbound

This paper cites Learning in imperfect environment: Multi-label classification with long-tailed distri- bution and partial labels.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Learning in imperfect environment: Multi-label classification with long-tailed distri- bution and partial labels

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.437259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:d05e54e5fe400e3b2d84719723042d14b65e29e59875bb2ace5567566a6f12c0

Observation 9b912c9d-9dd9-49fe-bfe8-c2e517bcd2f1 · outbound

This paper cites A neural network-based multi-label classifier for protein function prediction.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning A neural network-based multi-label classifier for protein function prediction

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.325672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:e69994a7eb80750ac23df5b63c7cce80d54f17ca27bb6ef44f541fdb5bc035a5

Observation 3ab91249-3b33-4e6a-8b05-48880e45d5cd · outbound

This paper cites Partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.285930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:8b0abc6679dc32be85698e9ee2b5c2820f7a39d28a600ee6a7fdc0dde20008d2

Observation fb3932b3-c0f2-407e-9bbb-6a15f86a814e · outbound

This paper cites Multi-kernel learning for multi-label classification with local rademacher complexity.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi-kernel learning for multi-label classification with local rademacher complexity

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.335831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:2674807f079634d4fdb06da3f4a66058aed80226a121a77db3f14fbf17763b10

Observation f16ae411-14af-497b-a3a4-d10cd1bfa757 · outbound

This paper cites Ml-knn: A lazy learning approach to multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Ml-knn: A lazy learning approach to multi-label learning

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.404074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:c505d9694405988fa25fd6e81fc016878140bc86afb43fadc6340fb0b9bde17f

Observation d5c938b5-74a9-4276-a940-da51f84f0934 · outbound

This paper cites Lift: Multi-label learning with label-specific features.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Lift: Multi-label learning with label-specific features

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.294842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:e26fa9a18d48d429d7b7311b0067c3df27a4db5fd6404a2a992ad60e367ab53d

Observation 5099303b-7446-46e3-bc33-20dbb3c13802 · outbound

This paper cites Partial multi- label learning based on near-far neighborhood label enhancement and nonlinear guidance.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi- label learning based on near-far neighborhood label enhancement and nonlinear guidance

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.422574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:1ec954be68039219f8430fc7eeea6ebd6fe0414731caff62f40fd802bc90636f

Observation 8e59499b-822c-4f18-a121-5e1f89eb26b8 · outbound

This paper cites Partial multi-label learning via credible label elicitation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning via credible label elicitation

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.452048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:f345332ec9526eca4802ffdc307b5fb1cb45eb2479197ec902916249dd3be27a

Observation 30126b9f-711c-4e24-b0b9-15b7480aa97f · outbound

This paper cites Progressive enhancement of label distributions for partial multilabel learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Progressive enhancement of label distributions for partial multilabel learning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.407117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:9faae0df6285584949bb0b71c865b9564faa5aeaca75c82a0197f177c3ab2d0a

Observation 0e773477-3424-4068-8d18-bbd25724279a · outbound

This paper cites Feature-induced partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Feature-induced partial multi-label learning

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.330769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:ec6b60204b150883639b8a06b2a8cd3daf9e688fc68ce9d98a47c984ae2ad75c

Observation 6e89c72f-e3f7-41e4-ad1f-b0eea9967ed0 · outbound

This paper cites Partial multi-label learning by low-rank and sparse decomposition.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning by low-rank and sparse decomposition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.351910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:4fd602c2827c0e7448776e6307c5b6cdca6c93ad6c1ed7c1c9f7f01c2985589a

Observation 1a19ed9b-5323-4a79-8190-c734b8472fab · outbound

This paper cites Negative label and noise information guided disambiguation for partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Negative label and noise information guided disambiguation for partial multi-label learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.443133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:704b63936458a305d16d8219a5791fe99df12ada1c9e340ea5001fb1230afe03

Observation d70e2e11-9c83-4d73-bd09-0cb8e09f9520 · outbound

This paper cites Multi-label learning with global and local label correlation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi-label learning with global and local label correlation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.392276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:6d399487bd25fe3b840567d1800441be43fc2b047b497a74c7b89474462c3a04

Observation cdb0f774-f11e-44cd-99f5-6138771fdcb1 · outbound

This paper cites Multi-label classification with high-rank and high-order label correlations.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi-label classification with high-rank and high-order label correlations

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.413177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:da97ce39440d6825d304cbcab596a95a941b4ab91ec09bd39d158dc65e02ba33

Observation b947be97-9971-4286-a3ab-e6544aab9286 · outbound

This paper cites Multi-label classification: An overview.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi-label classification: An overview

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.289092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:8971c15668ce30eda325e0ba750384e131a78a00a99d021cfd3ed622d3a2bc65

Observation a4443436-94ac-45b0-955f-5840008611f7 · outbound

This paper cites Multi-label manifold learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi-label manifold learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.279790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:74d166c09c37318949249b7c31c788e05bfa62502671be341f5c83249ef32c9f

Observation ca40801a-5f61-44cb-b1b1-129d09568d12 · outbound

This paper cites Manifold regularized discriminative feature selection for multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Manifold regularized discriminative feature selection for multi-label learning

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.425658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:4011b24e56d20fe3d3ca726f9ed68730331c5ca7707aed2c00bad0c96758e6db

Observation cc126886-eeb0-4091-898c-cf25f05fd758 · outbound

This paper cites Multi-dimensional classification via de- composed label encoding.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi-dimensional classification via de- composed label encoding

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.431656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:1aa6ec8fc32ff72d56f8ab0037d7fc89feaa79df6e1e76843c058ed0664e6251

Observation c3242d64-7067-4921-a8ae-4a60274aeeef · outbound

This paper cites Partial label learning based on disambiguation correction net with graph representation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial label learning based on disambiguation correction net with graph representation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.366668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:ddd52a3431420c53ab79ff6403fd2a5f62fc64e9fe46d4bda71f48f5c0728ade

Observation 0ab33a07-b917-45ae-a090-435d52966070 · outbound

This paper cites Adaptive graph guided dis- ambiguation for partial label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Adaptive graph guided dis- ambiguation for partial label learning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.303894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:da4bf87aa74c684c1ddce32b9debbd806c06831edc7c2dc5a94cde41fd778276

Observation 50dc837b-49ff-4e85-b052-bc2d8d33cac5 · outbound

This paper cites Variational label enhancement for instance-dependent partial label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Variational label enhancement for instance-dependent partial label learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.419416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:c1ca6e27c81b7058c6094ea050514a0fb0ead1b5f657b0d1695c0c53288a2339

Observation 15a45e28-2b24-4438-8f4f-5163f7215d58 · outbound

This paper cites Learning from noisy labels via dynamic loss thresholding.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Learning from noisy labels via dynamic loss thresholding

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.380193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:88e7472489a8766abd3954e7d0e44511209aea2a39bd0dcc4e763dc2ef3f1d98

Observation cd08fd75-c0f4-42e8-b571-d5f75a895146 · outbound

This paper cites Disambiguation-free partial label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Disambiguation-free partial label learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.461016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:313a5be65604eba3a5ad7351e1348d4ba1c01d4f7493b61d95f6e747d71cd46f

Observation ad2b49fb-47c1-4406-a14d-36af83f288a7 · outbound

This paper cites Partial multi-label feature selection via low-rank and sparse factorization with manifold learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label feature selection via low-rank and sparse factorization with manifold learning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.355826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:855d09123b27509153aac93420f35069a6e15fe1b1a5c8aec4b88fec8cb20289

Observation ef020a7e-3640-4184-bae7-64531ea48e01 · outbound

This paper cites Towards enabling binary decomposition for partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Towards enabling binary decomposition for partial multi-label learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.321301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:30c182911586eb79b18a118a801adaefbb5fd206e43937f4fec84d559427039c

Observation 170e0891-3285-46cb-a480-34bc6692e005 · outbound

This paper cites Partial multi-label feature selection based on label distribution learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label feature selection based on label distribution learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.282931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:a2a62980e54b8802f63f2056948d499d89cd79fb617e11cb42b48f3e4d3f01fd

Observation 5bdcdb82-cf0d-4404-8a1a-3bd0519ffe11 · outbound

This paper cites Partial multi-label learning with noisy label identification.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning with noisy label identification

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.416456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:1e78b833b185ee475ec235b83901852e97ad818d487017b0aeb4cdc2f0b35e04

Observation f6c6c136-288e-4206-9217-a7d3cb18573a · outbound

This paper cites Discrimi- native and correlative partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Discrimi- native and correlative partial multi-label learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.340071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:b685c09ba80eb9b1b11e359644488c5a0fd95d95043f8676640ad6e65cde4858

Observation dfe254c1-3613-404b-b7a4-6f7a667d127d · outbound

This paper cites Pseudo- label reconstruction for partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Pseudo- label reconstruction for partial multi-label learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.449269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:c744161bbabc6af9790055b73a8c2e980f7b3e7d49b6e2c9a776ae5c82fb4a23

Observation 04a96a16-bb0b-4d9f-b473-13c24ab71118 · outbound

This paper cites Partial multi-label learning via multi- subspace representation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning via multi- subspace representation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.376969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:2b9ac50f26ff88be2552d3e5638528872a29c90aa5a7b9cb397d03104d1292ea

Observation e9c537df-3320-4736-8350-7a675889a4ce · outbound

This paper cites Partial multi-label learning via specific label disambiguation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning via specific label disambiguation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.270268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:f7b9473ebdb1a18665d6657cb4c0066e1d76ad49a8b8cc4967ab60290e944cf5

Observation 810e763d-c7cd-4c5b-a12b-f5044aaf0ed0 · outbound

This paper cites Dual noise elimination and dynamic label correlation guided partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Dual noise elimination and dynamic label correlation guided partial multi-label learning

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.370060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:1ba33a16861aad6854331633c9052b24f181e97ab21ac50e85bf2031af3b97c0

Observation 41b4ebc6-f10f-459e-a2c2-363f4c07341e · outbound

This paper cites Learning accurate label- specific features from partially multilabeled data.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Learning accurate label- specific features from partially multilabeled data

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.428834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:9a3db8c05c54fd51fbc5163798dccbf6d6d9f2fd69d1bdc2576425bc6c9e4866

Observation 29387a42-f169-4647-8d02-843bae9f3145 · outbound

This paper cites Partial multi-label feature selection.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label feature selection

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.273328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:030b9452c4c65e2207b1e9f248c6f5d79816bfe00110981f1f7fd4391519c659

Observation f9cd60e4-47cc-4f7f-bdf3-9cfe59897ed0 · outbound

This paper cites Partial multi-label feature selection via subspace optimization.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label feature selection via subspace optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.401066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:fc8c4a589f3ec4a9f0079993bd195312e996f4a90bf9863d04febc0c8d366b0f

Observation 8448760f-ab0d-4325-a040-041a83b17d09 · outbound

This paper cites Integrating label confidence-based feature selection for partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Integrating label confidence-based feature selection for partial multi-label learning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.363227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:1238bf00ddfee95546ce20b4404a103415535a951eb1c759fc833c5868683358

Observation f273a5a7-54d9-4030-b1a4-8eba0759dcd5 · outbound

This paper cites Partial multi-label feature selection with feature noise.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label feature selection with feature noise

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.307329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:797dea3b0ea1e517fa8260673e39bf19b6a295e7dad0103f406c2ab636b418b0

Observation 9ad93153-95fe-4519-91fa-89df263bf211 · outbound

This paper cites Partial multi-label learning based on sparse asymmetric label correlations.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning based on sparse asymmetric label correlations

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.410043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:07b4e9e11aa454bed09f37c9217204e01d216e074b23c6067276e52821f4b5d0

Observation c55c3ca4-135c-44c9-a810-5ff11cae37d2 · outbound

This paper cites Global-local label correla- tion for partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Global-local label correla- tion for partial multi-label learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.434376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:90daa6a6b111a72e7b456626cf2b20e7a106b127db771106411848a8d74004bb

Observation 96fe393d-673c-470b-a48c-4bab3a4e90bf · outbound

This paper cites Partial multi-label learning with label and classifier correlations.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning with label and classifier correlations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.454834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:f2d89e37868208bf7f5191953459085d737da859415fdbbcfb05fc36a6115d2f

Observation 51ae2976-62e6-497b-b8f0-19f055946934 · outbound

This paper cites Fuzzy bifocal disambiguation for partial multi-label learning.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Fuzzy bifocal disambiguation for partial multi-label learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.395234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:0ddcce251af9f36265464a1dcd51e3c95f55729c501a6afdf59da916e7746d8d

Observation 738bbf1d-81eb-4ee3-8431-360727cb0709 · outbound

This paper cites Adversarial partial multi-label learning with label disambiguation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Adversarial partial multi-label learning with label disambiguation

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.383490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:736b7e85bc245a0abcbe21ccd9a947b375e000c33d544fd287c2e2007a245b1e

Observation a716be50-432b-4c63-aad4-fb6435f23950 · outbound

This paper cites Pml-ed: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Pml-ed: A method of partial multi-label learning by using encoder-decoder framework and exploring label correlation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.457895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:bd4fbb4445a687aae60ca12691e2f43981b2012bde52da0b668209228c30d25b

Observation 46617d41-fbf8-4f81-89d9-960ffcb3fa2a · outbound

This paper cites Partial multi-label learning with prob- abilistic graphical disambiguation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multi-label learning with prob- abilistic graphical disambiguation

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.276564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:81add35bfc51e9f3f8232912703f368f6f687eeab6a70e44e450155c92ff612b

Observation 16b2d76d-6c64-4820-bcaf-801388bd6c61 · outbound

This paper cites Partial multilabel learning using noise-tolerant broad learning system with label enhancement and dimensionality reduction.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial multilabel learning using noise-tolerant broad learning system with label enhancement and dimensionality reduction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.386514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:569d279593046295be017e3735c47208b4838b6db513b123faeab301790e5105

Observation 8665940d-7347-45ff-b9be-1967120e01f5 · outbound

This paper cites Canonical correlation analysis.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Canonical correlation analysis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.348179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:41040034c0f8d6a1a1c13f06703511f8b53271690685c805957e56cb88c342be

Observation 6604ba9d-bd81-42bc-ba1a-4b4a35815e85 · outbound

This paper cites Partial least squares.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Partial least squares

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.446119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:8746984d528c90e12e587721be41b6b692850ef065a6b658dde27373983efa05

Observation f517ccac-c824-49e3-bab7-a6e9f58157f3 · outbound

This paper cites Asymptotics-aware multi-view subspace clustering.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Asymptotics-aware multi-view subspace clustering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.311408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:d3b72324105acf2744df4302d2f42b336544b6ad7cf49b1e965cbf12f2e85e48

Observation 4ce58818-fa7b-4412-9a56-3d4688c2ae1c · outbound

This paper cites Nonconvex low-rank tensor representation for multi-view subspace clustering with insufficient observed samples.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Nonconvex low-rank tensor representation for multi-view subspace clustering with insufficient observed samples

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.315922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:e298440089b95b5cd9bdd952304a7c0c59db1bbc82a0a76e673fd558eefe7a11

Observation 23fcad09-6ec8-4dd5-8a7b-f7e330aae2fa · outbound

This paper cites The mir flickr retrieval evaluation.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning The mir flickr retrieval evaluation

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.292041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:96614a99c7fe530fdad9383aea0b5f1e372c1dabb053255604ad0f1075ea45bd

Observation 98e89ace-6c86-486c-9e39-1d41799321b2 · outbound

This paper cites Multi- label classification of music into emotions.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Multi- label classification of music into emotions

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.344248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:409f93a34288f8d4b6aa832022dd8d5e67469a6c8c29ccc3ddf4a752968fc8ae

Observation 6faa621d-6cde-43d4-b654-ac6516d4b5b0 · outbound

This paper cites Acoustic classification of mul- tiple simultaneous bird species: A multi-instance multi-label approach.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Acoustic classification of mul- tiple simultaneous bird species: A multi-instance multi-label approach

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.297938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:f4d897375621bce0a8d51ea74ec1bc5d95ed47a0983178c0a7fa17e2ec0c1c57

Observation 3059c90d-3e94-4bd7-9b6d-6e2ff4521dd2 · outbound

This paper cites The challenge problem for automated detection of 101 semantic concepts in multimedia.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning The challenge problem for automated detection of 101 semantic concepts in multimedia

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.440122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:485b20e087d4c4455cca9b1a1875a8479fd6799319a9e39db7747f999609f561

Observation 52904164-82f3-4d8e-9c76-e1f207048103 · outbound

This paper cites A review on multi-label learning algo- rithms.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning A review on multi-label learning algo- rithms

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.397953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:ece88381a6126132b63b481e939eb32cd10ba0059c5657c492db1a007d4f49ee

Observation ba0734a4-fb50-49a7-bf2a-34f8324db59f · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Statistical comparisons of classifiers over multiple data sets

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.389346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:587f2bce78353691072df982a4b75cd6bbe8447958e4a86c2769756385fd0800

Observation c8ebcb30-ad9c-4118-8e03-dc1b509f7747 · outbound

This paper cites (15) is simplified as: min P1,P2 ∥XP1 −RP 2∥2 F +α nX i=1 nX j=1 sij∥P⊤ 1 xi −P ⊤ 2 rj∥2 2 +γ∥P 2P⊤ 1 ∥2 F ,s.t.P ⊤ 2 P2 =I m.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning (15) is simplified as: min P1,P2 ∥XP1 −RP 2∥2 F +α nX i=1 nX j=1 sij∥P⊤ 1 xi −P ⊤ 2 rj∥2 2 +γ∥P 2P⊤ 1 ∥2 F ,s.t.P ⊤ 2 P2 =I m

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.359791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:d748b49b5ba917b4ccc2c40d98623ac0d0175d9f974d4ead304a52e120044faf

Observation 10a145f9-9b3d-4ba0-a784-f8e8a0cf4474 · outbound

This paper cites Then, the suboptimization problem derived in Eq.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Then, the suboptimization problem derived in Eq

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.373615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:cc50a5571b0db9a4d6b1693d8c69474fc710b5384da8fec7c34f0fb59ca564e9

Observation 391846d4-e619-4c9f-ad76-a3d641573652 · outbound

This paper cites Then, the suboptimization problem derived in Eq.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning Then, the suboptimization problem derived in Eq

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T10:04:25.464111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:93ad033c3a3f5835206e6880a129bf01e6fc7258d5b9babef594b38dda5f5b9e

Observation f27de3bb-5e28-4ee7-b339-6b3db26832d1 · outbound

This paper cites First, we update the scalar weight matrixDusing the result of the current iteration round Rt: dt+1 ii = cX j=1 rt ij.(30) Then, the suboptimization problem forRderived from Eq.

Feature-Label Modal Alignment for Robust Partial Multi-Label Learning First, we update the scalar weight matrixDusing the result of the current iteration round Rt: dt+1 ii = cX j=1 rt ij.(30) Then, the suboptimization problem forRderived from Eq

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:41:05.548523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:31:42.526387Z digest=sha256:238baea9767c1d9a73b397ed0a3fb8c5aa7145917245f16b84c96f63c687837a

Pith citing papers

No inbound Pith citation observations are available.