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Paper Citation Record · LEDGER

Latent label distribution grid representation for modeling uncertainty

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2505.21180.

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

pith.paper-citation-record.v1
2505.21180 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:55.609358Z

measured 25 of 25 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

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy22
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b531b814-28c5-4965-8f0d-565a833dfbb7 · outbound

This paper cites Representation learning: A review and new perspectives.IEEE TPAMI, 2013.

Latent label distribution grid representation for modeling uncertainty Representation learning: A review and new perspectives.IEEE TPAMI, 2013

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:44:03.780613Z

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.

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Observation a331aabb-407e-4bdb-bf63-1a4288e490ac · outbound

This paper cites an unresolved cited work.

Latent label distribution grid representation for modeling uncertainty Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-07T13:44:03.345782Z

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.

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Observation 419185ea-c112-4629-bc56-ca7b8ad5845b · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Latent label distribution grid representation for modeling uncertainty An image is worth 16x16 words: Transformers for image recognition at scale

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:02.944451Z

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.

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Observation baf82db5-84f0-4b58-8ce6-4af768202c39 · outbound

This paper cites Age estimation using expectation of label distribution learning.

Latent label distribution grid representation for modeling uncertainty Age estimation using expectation of label distribution learning

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:02.558292Z

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=2026-08-07T13:43:51.327474Z digest=sha256:50cca00ce2dbee33c1cf1ac4607b3cfe1775e21c89eee95eeeb64468d0780bb8

Observation 4de8730e-217c-433a-b120-ace5288aeda0 · outbound

This paper cites Label distribution learning.IEEE TKDE, 2016.

Latent label distribution grid representation for modeling uncertainty Label distribution learning.IEEE TKDE, 2016

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:02.158758Z

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=2026-08-07T13:43:51.517142Z digest=sha256:115c09c536bbdbbcffdc3280cfd7ad6c2d39de8b1334ca96246a1d9906dd95a6

Observation 61d1ba6a-b953-4218-9401-c51bb0b21a35 · outbound

This paper cites Label distribution learning via label correlation grid.

Latent label distribution grid representation for modeling uncertainty Label distribution learning via label correlation grid

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:43:56.407775Z

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=2026-08-07T13:43:51.739898Z digest=sha256:e0f542a082d6025e493bce378c9043cbb95be52a665a6a732b54a9f88a0b8f11

Observation 8a4db156-e4cd-4788-97da-d369e184ca35 · outbound

This paper cites Label distribution learning with label correlations on local samples.IEEE TKDE, 2019.

Latent label distribution grid representation for modeling uncertainty Label distribution learning with label correlations on local samples.IEEE TKDE, 2019

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:44:01.761258Z

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=2026-08-07T13:43:51.983235Z digest=sha256:1b10cc3ac934b90da6b768638de45618b4a2d0add93543780df4462279e7bb4d

Observation b8a58a40-52ca-4d33-bd7b-61afd64628bb · outbound

This paper cites Label distribution learning by maintaining label ranking relation.IEEE TKDE, 2021.

Latent label distribution grid representation for modeling uncertainty Label distribution learning by maintaining label ranking relation.IEEE TKDE, 2021

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:01.412031Z

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=2026-08-07T13:43:52.223968Z digest=sha256:c8f0c8ccadfe4845c73a52bc34a56975b46d2d072ad067a9eba064f1768101cc

Observation 1a419b5d-3631-4dec-a8f2-4537df0931cd · outbound

This paper cites Facial emotion distribu- tion learning by exploiting low-rank label correlations locally.

Latent label distribution grid representation for modeling uncertainty Facial emotion distribu- tion learning by exploiting low-rank label correlations locally

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:01.219068Z

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=2026-08-07T13:43:52.419048Z digest=sha256:cd65c8f5278ce2e68288730ed7bdbd4026237b6e229629a3113cd094321503ea

Observation 2706203e-30fe-4046-a807-266b5e01afd8 · outbound

This paper cites Uncertainty- aware label distribution learning for facial expression recognition.

Latent label distribution grid representation for modeling uncertainty Uncertainty- aware label distribution learning for facial expression recognition

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:44:00.970030Z

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.

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Observation bd0f3504-525c-45d5-a133-b82918f67dea · outbound

This paper cites Unimodal-concentrated loss: Fully adaptive label distribution learning for ordinal regression.

Latent label distribution grid representation for modeling uncertainty Unimodal-concentrated loss: Fully adaptive label distribution learning for ordinal regression

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:00.767542Z

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.

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Observation e92a639b-2861-4fa4-9bcc-d4a7d9c0d007 · outbound

This paper cites Label distribution learning with noisy labels via three-way decisions.International Journal of Approximate Reasoning, 2022.

Latent label distribution grid representation for modeling uncertainty Label distribution learning with noisy labels via three-way decisions.International Journal of Approximate Reasoning, 2022

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T13:44:00.539063Z

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=2026-08-07T13:43:53.008258Z digest=sha256:0a29b57eefe1275e4a0e76c0294e02af390d72ef5ef47686e0077dd6b1023b76

Observation fb26ef79-6559-4706-ade2-28744010afd5 · outbound

This paper cites Feature selection for label dis- tribution learning via feature similarity and label correlation.Information Sciences, 2022.

Latent label distribution grid representation for modeling uncertainty Feature selection for label dis- tribution learning via feature similarity and label correlation.Information Sciences, 2022

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:44:00.207644Z

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.

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Observation a945575a-d2d6-420a-9eb6-ffc9d14026f0 · outbound

This paper cites Label distribution learning with label-specific features.

Latent label distribution grid representation for modeling uncertainty Label distribution learning with label-specific features

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:59.947359Z

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=2026-08-07T13:43:53.386900Z digest=sha256:a42478be704f6cbbae47b996c914badafe2aa79dc8ff1e414726dd674194120e

Observation 6bcc86db-a13b-4e6a-a519-802b93973d7e · outbound

This paper cites Label distribution learning with label correlations via low-rank approximation.

Latent label distribution grid representation for modeling uncertainty Label distribution learning with label correlations via low-rank approximation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:59.593044Z

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=2026-08-07T13:43:53.584693Z digest=sha256:9ac10b6b9b92e1f71b3150b07de8903148694212b3057664d51b91e87db45583

Observation 9a2ede7b-25ba-4c29-a9c9-86e37de46939 · outbound

This paper cites Towards speaker age estimation with label distribution learning.

Latent label distribution grid representation for modeling uncertainty Towards speaker age estimation with label distribution learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:59.299939Z

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=2026-08-07T13:43:53.800857Z digest=sha256:50852bc2d9fd1869d15b216a0136898393e2f7159cdcb21eb0aef8d8bf0cea44

Observation 403cac48-7b57-4fd7-88cb-8e20c2ca4db6 · outbound

This paper cites Co-ldl: A co-training-based label distribution learning method for tackling label noise.IEEE Transactions on Multimedia, 2021.

Latent label distribution grid representation for modeling uncertainty Co-ldl: A co-training-based label distribution learning method for tackling label noise.IEEE Transactions on Multimedia, 2021

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-07T13:43:59.032432Z

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=2026-08-07T13:43:53.967657Z digest=sha256:5f4a79ecbf2d5dc41f0b106d3479f0fc469e10a5b306d22631eb84067b4aaa36

Observation 7c7c695d-21ca-4d5a-a997-4921cfad4176 · outbound

This paper cites A label distribution manifold learning algorithm.PR, 2022.

Latent label distribution grid representation for modeling uncertainty A label distribution manifold learning algorithm.PR, 2022

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-07T13:43:58.649032Z

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=2026-08-07T13:43:54.148524Z digest=sha256:c408ad5ad126824a7d4a26f996a86990b6cab17127ea2d2331f26a1a306deceb

Observation 521343a8-5a73-4ed1-baf6-471fa94dc207 · outbound

This paper cites A label distribution manifold learning algorithm.PR, 2023.

Latent label distribution grid representation for modeling uncertainty A label distribution manifold learning algorithm.PR, 2023

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:58.350416Z

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=2026-08-07T13:43:54.409367Z digest=sha256:06637fa139d615a032a2c0d22c4ef18e02d266287f542543c07961577a1422a9

Observation 437713d6-3a43-4dd7-aff1-385b5c4f1fba · outbound

This paper cites Incomplete label distribution learning by exploiting global sample correlation.

Latent label distribution grid representation for modeling uncertainty Incomplete label distribution learning by exploiting global sample correlation

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:58.029343Z

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=2026-08-07T13:43:54.648117Z digest=sha256:fdfe65969c5bfced501588b3efef9b632634ac98878542c4c4a88f238fae9ab2

Observation abd4cfa3-9697-4b47-a5d9-a85eaadb80c8 · outbound

This paper cites Label distribution learning by exploiting label distribution manifold.

Latent label distribution grid representation for modeling uncertainty Label distribution learning by exploiting label distribution manifold

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:57.770523Z

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=2026-08-07T13:43:54.874586Z digest=sha256:579cbb7fa14f58ae42975db0eba067d508a5b5b7e314fd5d9091f2dfd76d3db7

Observation 44fab6dc-c751-459e-80d4-cb30e4c0678e · outbound

This paper cites Multi-class ASD classification via label distribution learning with class-shared and class-specific decomposition.Medical Image Analysis, 2022.

Latent label distribution grid representation for modeling uncertainty Multi-class ASD classification via label distribution learning with class-shared and class-specific decomposition.Medical Image Analysis, 2022

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T13:43:57.406701Z

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=2026-08-07T13:43:55.073319Z digest=sha256:60f99955dda68e0488afafeb550c5a13775ee66200b3452de538f28b0f6b3479

Observation c7bc6ec7-c7bc-459b-811a-d03ab11f2575 · outbound

This paper cites Label enhancement for label distribution learning.

Latent label distribution grid representation for modeling uncertainty Label enhancement for label distribution learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:57.082875Z

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=2026-08-07T13:43:55.229677Z digest=sha256:a8ad432172aff01997afbd12d81c967d3c4100e9df877875274f4b6bec2b33cc

Observation 554dd6a5-b04f-462c-acb5-4db45fd5cd13 · outbound

This paper cites Robust lightweight facial expression recognition network with label distribution training.

Latent label distribution grid representation for modeling uncertainty Robust lightweight facial expression recognition network with label distribution training

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:43:56.777535Z

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=2026-08-07T13:43:55.454443Z digest=sha256:a7a57cf12483a4c9800be55c1ca045c3913c0d03aac15467dcb471964154e933

Observation 95996294-318e-45c9-b3db-f3fc21573fee · outbound

This paper cites Label Distribution Learning via Implicit Distribution Representation.

Latent label distribution grid representation for modeling uncertainty Label Distribution Learning via Implicit Distribution Representation

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:43:56.051825Z

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=2026-08-07T13:43:55.609358Z digest=sha256:ec05902fbb0d40931f7d799b49d72384307204072105177ebe3afbb788351e4d

Pith citing papers

No inbound Pith citation observations are available.