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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 2026-08-08T06:32:00.761636+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

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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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:50.917956Z digest=sha256:a299a761f7987b58c42c02e83e5190b8d1677a3b063f81c002e882588f2ef068

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:51.327474Z digest=sha256:9fd58a7dd5de70862d8e86aed7cd58134c534750aaf7caa515961ffffa50adbc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:51.517142Z digest=sha256:85680da56c33e9fe903da9e9dbce65b7c964c7a13d15fedda3f99fc6ac6cf6cd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:51.739898Z digest=sha256:6cf14086c2f44887dccc83f3307f577464a8fb9f0c3ef5954d3a3b499cc2e445

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:51.983235Z digest=sha256:cbc0f008e8b3c42bd2d17c1a40cff44642b530a6c84a3c9acb9305fb5c2824cf

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

Resolution
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:52.223968Z digest=sha256:c1d134dbac0ac2239971fed44f640b0d00d116850aa8c9792d1731050567d398

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:52.419048Z digest=sha256:d37517d01b5fddf8d7719f5e6041ccc0b382367d95e9a3bc002859fd50d3f86a

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:52.651887Z digest=sha256:b6155299bb0c8fee2c815260a66744d98af907a1e52c699c4aee4dfee5199fe0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:52.824433Z digest=sha256:d557206b89a143397856595ce1a7a8a6f9778b39b1ed0d1e9df1cb0875516ad4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:53.008258Z digest=sha256:b6445a791de865804e3b8cb26618bf69ca06a1b12b441004b81fcbab9ec8a7ff

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:53.214773Z digest=sha256:06288bd4aa20c05d190f1e9845e1b08fbe3084c4bab529b2dc4ef8fa235bd395

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:53.386900Z digest=sha256:b5c1ab64d54bc17fe1a3b9ada2fd4bc00892ec0717b39e58c4a40771984d5cdd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:53.584693Z digest=sha256:0910f41825cb1d2750623638ef6fb1ac42245f8f50ea304de599ad38827ea601

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:53.800857Z digest=sha256:3fe937ddca2ecccf8c27832157b68bf53a2e442b2efddaf2780634f5774b2c2d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:53.967657Z digest=sha256:392893ebb1e9e2c5da9be898f75e7322d89fc2f0b4c8c9936fc8e5d74f91bd37

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:54.409367Z digest=sha256:54cc15d49762826567df23a39960395e2fc7729cfb130981271f45f4aeba3693

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 2026-08-08T06:32:00.761636+00:00.

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:54.874586Z digest=sha256:b6fb016655db51163b35e2c790d0a53bb63a7f2f5dae68dca3f7d49c2d6be516

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:55.073319Z digest=sha256:162a0e35737fc05e14e13209f2ff52662a3057cb84816b3354dca107b4225dcf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:55.229677Z digest=sha256:bee1e5c12ac16087eb394194692fc0e28c960e81d175163916ef6685865f9f13

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:55.454443Z digest=sha256:a7b260d67ee26e2f697cf5fa89cb1511348b9b3ea52861f820d017dc33462b3d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T13:43:55.609358Z digest=sha256:fa75b1adb18a7c2a85be1c6a9f4f8c5ce9496601c4a014f08542a4d8c15048f7

Pith citing papers

No inbound Pith citation observations are available.