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Paper Citation Record · LEDGER

NDCG-Consistent Softmax Approximation with Accelerated Convergence

As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2506.09454.

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

pith.paper-citation-record.v1
2506.09454 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:57:48.748152Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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

66 of 66 outbound references displayed

  • verified exact1
  • verified fuzzy56
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3160ebea-8b0f-4aa7-ac1f-ada4390a1565 · outbound

This paper cites Backpropagation and stochastic gradient descent method.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Backpropagation and stochastic gradient descent method

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.435659Z digest=sha256:c7aafa9e97607be8ae4327f373da3412244ef0f69c1e789bb8d2c447477d6ca5

Observation e10bd0c8-d454-41ac-a689-7e483a0a1856 · outbound

This paper cites Neural network learning: Theoretical foundations, volume 9.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Neural network learning: Theoretical foundations, volume 9

Reference 2

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no resolver link, observed 2026-08-07T04:57:48.440904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.440904Z digest=sha256:75debe1070d84b6999e98d536681ba39947416f38e32265c5c4ab9ffbec0af7d

Observation cde224f4-4125-49cd-b32f-387839f9eb33 · outbound

This paper cites H-consistency bounds for surrogate loss minimizers.

NDCG-Consistent Softmax Approximation with Accelerated Convergence H-consistency bounds for surrogate loss minimizers

Reference 3

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.445421Z digest=sha256:930e4781b9d72921ff21c6c0d238a6929f3fb16cc4de0112c9fc9213ed1090e4

Observation c73d4359-e00b-4721-b4e0-06ba10386b87 · outbound

This paper cites Multi-class h -consistency bounds.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Multi-class h -consistency bounds

Reference 4

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unresolved
no resolver link, observed 2026-08-07T04:57:48.451244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.451244Z digest=sha256:8211644ceff0b0f1546b2192d646f99710be2a53d5feb42f39316ffcdbdfdec5

Observation c7bb3c6d-9b1e-4ed2-9006-44ac5562d16a · outbound

This paper cites Convexity, classification, and risk bounds.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Convexity, classification, and risk bounds

Reference 5

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unresolved
no resolver link, observed 2026-08-07T04:57:48.455685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.455685Z digest=sha256:273e772b78f8a8b275c07392528403d41a368fe655b8f92e45d8e246c28b20a8

Observation 3582cf2b-31f6-4980-b712-717665ef16ee · outbound

This paper cites A generic coordinate descent framework for learning from implicit feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence A generic coordinate descent framework for learning from implicit feedback

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.705552Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.460331Z digest=sha256:be0928d196c94034a88cc9156e6d64b77eece6bec1576608690b8d388d16627a

Observation cfd45e77-f07c-45c5-ae39-34a737eaf8b0 · outbound

This paper cites Adaptive importance sampling to accelerate training of a neural probabilistic language model.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Adaptive importance sampling to accelerate training of a neural probabilistic language model

Reference 7

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.466636Z digest=sha256:d9dbcb3e94dd1c3de0a3eddeeb05ef79b68b64bbfe5f685f9f977e31e835ac69

Observation 98eb8d7f-8c0c-42e8-8b1e-c5865bfe736e · outbound

This paper cites Optimization methods for large-scale machine learning.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Optimization methods for large-scale machine learning

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.674613Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.471020Z digest=sha256:a086dbec8187958ef9698edc4cc70724500d51e031b7fa325964b046c8c9e831

Observation 02eca49b-e72c-4654-844a-90f1be2a709c · outbound

This paper cites An alternative cross entropy loss for learning-to-rank.

NDCG-Consistent Softmax Approximation with Accelerated Convergence An alternative cross entropy loss for learning-to-rank

Reference 9

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.475496Z digest=sha256:debf01b5f151c314d78c7cb0f21f6572706ffc9509cea2e699cbfaba9fce2973

Observation 1c4de5bc-d7ad-4d78-87ca-d45c10d737c5 · outbound

This paper cites An analysis of the softmax cross entropy loss for learning-to-rank with binary relevance.

NDCG-Consistent Softmax Approximation with Accelerated Convergence An analysis of the softmax cross entropy loss for learning-to-rank with binary relevance

Reference 10

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.480474Z digest=sha256:ed80ec7df57e9afe5552f91b8ae410705be44c40ed75e9e7c9bc203c0de597b9

Observation 67d0b50e-f454-4b70-89ac-306fae0d6fdb · outbound

This paper cites an unresolved cited work.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Unresolved cited work

Reference 11

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raw_fallback, observed 2026-08-07T04:57:49.630139Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.484868Z digest=sha256:5305e0a65d7db326fa03b5544739646f23cc26caca948a4472c4fe854618fc86

Observation 27571e37-225b-429d-bfae-9c94f00ae1c8 · outbound

This paper cites Efficient neural matrix factorization without sampling for recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Efficient neural matrix factorization without sampling for recommendation

Reference 12

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.490128Z digest=sha256:e309c10af536d11336161ba95071a8d94ddb91a9b467f8677f8932a6766c4be6

Observation 24127b06-2b6a-4765-a8b8-21b693748aa6 · outbound

This paper cites Revisiting negative sampling vs.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Revisiting negative sampling vs

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.600970Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.494388Z digest=sha256:ee17d0204ce3e2295ac304134a82b5ca83f5d19d914f2f4bc438768b09b2fd37

Observation 7bb4d9ab-8c3a-4db2-9121-b0100096553f · outbound

This paper cites A simple framework for contrastive learning of visual representations.

NDCG-Consistent Softmax Approximation with Accelerated Convergence A simple framework for contrastive learning of visual representations

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.586831Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.499278Z digest=sha256:4be30a4435d4983647e6ca6a933a126c5fee37d4e3e002dbf3f40db0b3788f3d

Observation 9b611527-ba73-4c3d-80f4-bbd4f6bd591b · outbound

This paper cites Learning a similarity metric discriminatively, with application to face verification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning a similarity metric discriminatively, with application to face verification

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.572907Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.503703Z digest=sha256:546d9c4c7945b047e7d733a20c4e5889b56f895f449acce093dfc408f1812698

Observation 939bae9b-e9f3-46a7-97c1-aafef3629ec0 · outbound

This paper cites Subset ranking using regression.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Subset ranking using regression

Reference 16

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.507955Z digest=sha256:1119de4352f0a38b6fa57a366e1c757c42dda20d7dba739b388587b737720b0c

Observation 9625d872-a865-4fdb-8397-f013e7b97722 · outbound

This paper cites Deep neural networks for youtube recommendations.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Deep neural networks for youtube recommendations

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.512811Z digest=sha256:a6949b57186f75d681258c0bc228877cf1dfb39b060bfd6ef41e2ad8f9ad6632

Observation 04e87692-ff7d-4ebd-ab33-38d66461f79e · outbound

This paper cites Saga: A fast incremental gradient method with support for non-strongly convex composite objectives.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Saga: A fast incremental gradient method with support for non-strongly convex composite objectives

Reference 18

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verified fuzzy
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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.516976Z digest=sha256:a2055c8b0fa8d388e0c7354cdef3d5395539aa5ec2a8384ad6fde9d1e9b612b9

Observation 76f6fa71-dbce-4ec7-9ec4-c14b5f318332 · outbound

This paper cites Inexact newton methods.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Inexact newton methods

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.516897Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.521396Z digest=sha256:c00b27829a67b9eafa854f99f49eb5af0c49baa4c2ee724adce311e53bb3bf39

Observation d714b942-c998-453f-98ab-102a4c8064a4 · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Simcse: Simple contrastive learning of sentence embeddings

Reference 20

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raw_fallback, observed 2026-08-07T04:57:49.502950Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.526285Z digest=sha256:53c318ccdbac7939565d7bd142901b1890e118b38341f84ecd7533d3b6df2315

Observation 66f88946-54f7-4521-a504-659967a9e2ad · outbound

This paper cites Stochastic first-and zeroth-order methods for nonconvex stochastic programming.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Stochastic first-and zeroth-order methods for nonconvex stochastic programming

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T04:57:49.488711Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.530663Z digest=sha256:7fe7b77f004c366ee6a48e04cd439a36bbc22c4aa650d6e72ad18cc6c8f3287b

Observation b9747256-cc9c-42f7-9df1-47408f34306a · outbound

This paper cites Noise-contrastive estimation: A new estimation principle for unnormalized statistical models.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Noise-contrastive estimation: A new estimation principle for unnormalized statistical models

Reference 22

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Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.536522Z digest=sha256:72e19227a30847f0c8971e9e414d1d96621495b5c9ae44b883fd21719e1a88d6

Observation 52b8a3cd-3095-4ee4-8d66-f1f701a81fc1 · outbound

This paper cites Neural collaborative filtering.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Neural collaborative filtering

Reference 23

Resolution
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raw_fallback, observed 2026-08-07T04:57:49.457266Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.540796Z digest=sha256:ec3ff0555aec35618cb39a8bce670f4e70fde97f60805abc40c8c4dbcac2819a

Observation dbc573b1-4a72-4494-a7b7-8bf6ee818b41 · outbound

This paper cites Collaborative filtering for implicit feedback datasets.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Collaborative filtering for implicit feedback datasets

Reference 24

Resolution
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raw_fallback, observed 2026-08-07T04:57:49.442250Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.544858Z digest=sha256:7358e2d725d9461ffb9ffbcaabb6afd427e3715830c2408f2e9d2871c0a7958c

Observation 03ae01ae-65cd-4698-b41e-0cd2c56ae6d8 · outbound

This paper cites Cooperative retriever and ranker in deep recommenders.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Cooperative retriever and ranker in deep recommenders

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.424692Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.549387Z digest=sha256:eed8a36a688f8eed647b1de293ffdda5146f80054f5387f562c7980d4995c188

Observation 45a41acb-dee5-4570-a1e0-4133f8b19ef8 · outbound

This paper cites an unresolved cited work.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-07T04:57:49.407849Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.553641Z digest=sha256:48365ca9320c82153a374e2c2076873c92d2af6c3d6f927b40856449687c2194

Observation c17ed38a-45e3-40fd-99de-d96a2db38cf6 · outbound

This paper cites Non-convex optimization for machine learning.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Non-convex optimization for machine learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.393523Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.558325Z digest=sha256:77a3e4df323589d371affabc1a45d407c145ad5e278a26e4c991c2a3c9311a8a

Observation 2fe96b6a-535c-4c0f-87c5-284a012dadd7 · outbound

This paper cites Accelerating stochastic gradient descent using predictive variance reduction.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Accelerating stochastic gradient descent using predictive variance reduction

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.378792Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.562968Z digest=sha256:06823c761974a310327ceecb1b48094a735c1a89ea50da6af152eea027fdd0f2

Observation c33585c2-2a32-4fc7-81bf-dd9ffecab00e · outbound

This paper cites Self-attentive sequential recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Self-attentive sequential recommendation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.363953Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.567999Z digest=sha256:7d97a7af475f499f918042044bc2f1f1c221c7e0e40d30ba4fefb02f72c31b1a

Observation b60b0683-d348-43d1-add1-d569b58bf176 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Adam: A Method for Stochastic Optimization

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T04:57:48.572174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.572174Z digest=sha256:554bf3aed29949492aace06adb298f679481f9da863f68ad88eedf5c5c4573b5

Observation 350c3f2c-d307-4d56-aade-335be60c8b82 · outbound

This paper cites Factorization meets the neighborhood: a multifaceted collaborative filtering model.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Factorization meets the neighborhood: a multifaceted collaborative filtering model

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.349283Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.576478Z digest=sha256:bc92ea9f7576f937939dcd224e787f9e8e9f7568cdef9f631c971def773acb45

Observation 8970608b-5480-45b4-b07b-6db21ca078dc · outbound

This paper cites Matrix factorization techniques for recommender systems.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Matrix factorization techniques for recommender systems

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T04:57:48.580623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.580623Z digest=sha256:3e3a20fb51627532e7d9527e49e3a3bae7ee95c4e4f72e88cebe9309b503f9bc

Observation 2367f0d0-8261-4861-9163-adf94bd635ab · outbound

This paper cites Efficient training on very large corpora via gramian estimation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Efficient training on very large corpora via gramian estimation

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.323545Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.584756Z digest=sha256:98f8cde944ff30db56fecb5db84ce52c37480bf2ba6093deb6fd2cd3f6a49557

Observation f3776451-64c2-4ade-8322-01f026453468 · outbound

This paper cites Symmetric metric learning with adaptive margin for recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Symmetric metric learning with adaptive margin for recommendation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.306816Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.588944Z digest=sha256:968caa636daf80f59e86072bea78291fc4e96ab3e1271db08cb38d38021ba237

Observation 1c56f34f-824e-4dba-96b8-5cdde1ab44c3 · outbound

This paper cites Geomf: joint geographical modeling and matrix factorization for point-of-interest recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Geomf: joint geographical modeling and matrix factorization for point-of-interest recommendation

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.290634Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.593196Z digest=sha256:eae534174e37cd021a800097830614e266362d3b2b9ee0994f8b2568f93143c5

Observation 95df80e9-315f-44dd-9911-15254cc93dec · outbound

This paper cites Recstudio: Towards a highly-modularized recommender system.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Recstudio: Towards a highly-modularized recommender system

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.275471Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.597682Z digest=sha256:138020b0379c153657d3d9487cc71fe1c62908137fb75733e29845f95073a8e1

Observation e8e70786-9961-4ec0-a77d-48f767d42c78 · outbound

This paper cites Variational autoencoders for collaborative filtering.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Variational autoencoders for collaborative filtering

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.259234Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.601798Z digest=sha256:bf450c1a8b33e069f37acb996a8827523d563925ea0cd6a7478283552d2839d9

Observation 70f453b8-44d6-4568-8444-60abe961e5f6 · outbound

This paper cites Consistency versus realizable h-consistency for multiclass classification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Consistency versus realizable h-consistency for multiclass classification

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.243582Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.606368Z digest=sha256:afc7b0fc1f5d80bbadf2aed4c6dd8d27eb101da31cc0fcb1bf718cd8fb12fd8d

Observation ef30345b-4d93-4bd3-af60-79ad5fe98d0d · outbound

This paper cites Support and centrality: Learning weights for knowledge graph embedding models.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Support and centrality: Learning weights for knowledge graph embedding models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.229160Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.610946Z digest=sha256:5b9a1a474673232f2541cecf944248de1a7e5de1a34c93196fd090af603d9b8a

Observation bb17965d-713e-4744-852a-531cf8f4ae48 · outbound

This paper cites From softmax to sparsemax: A sparse model of attention and multi-label classification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence From softmax to sparsemax: A sparse model of attention and multi-label classification

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T04:57:48.615246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.615246Z digest=sha256:5de60b3f26cd60c0b9b19eeceed89e3b12658db19fdd6d93ea0e4ec463eb8426

Observation 12e2bb4e-5cf4-4154-b5e8-9f0972d51584 · outbound

This paper cites Multilabel reductions: what is my loss optimising? Advances in Neural Information Processing Systems, 32, 2019.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Multilabel reductions: what is my loss optimising? Advances in Neural Information Processing Systems, 32, 2019

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.205300Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.619676Z digest=sha256:0998086ce5fb3bf9fa9ffbf0316a1fbaf19fbf3bd4ff3f574f503222bdac7077

Observation f533cee1-d961-4335-a09c-cc60841b5d12 · outbound

This paper cites Distributed representations of words and phrases and their compositionality.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Distributed representations of words and phrases and their compositionality

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.189331Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.623852Z digest=sha256:96fe7d5a826e69c7fd129e979ec4698f458c546de22d67dd416474015ef89365

Observation 036deacc-f139-44d7-b373-3c0dd593dc02 · outbound

This paper cites Learning-efficient yet generalizable collaborative filtering for item recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning-efficient yet generalizable collaborative filtering for item recommendation

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.173832Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.628846Z digest=sha256:0f568f1ee021e6ea7902ef46e9488be4bdd87c5fe832832a0148bb11c321a589

Observation 50ba1791-2fb1-4ad3-abd5-7d89bf862c02 · outbound

This paper cites On ndcg consistency of listwise ranking methods.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On ndcg consistency of listwise ranking methods

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.159468Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.634108Z digest=sha256:23977ab328f3643cb572adab657aa5db27b1092dff2860810b7730313642c675

Observation e908128f-3b94-4555-87d2-235581acfdf4 · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert-networks with contrastive loss.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Sentence-bert: Sentence embeddings using siamese bert-networks with contrastive loss

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.145412Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.638760Z digest=sha256:29999071df3e7230313bd006a73b66177870bade76df7303c28b5d3db6102e5f

Observation e7e6e5a9-8983-4d7e-b4b1-f3dcb0d9bfd9 · outbound

This paper cites Item recommendation from implicit feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Item recommendation from implicit feedback

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.131460Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.643570Z digest=sha256:415dd1c107150433e162eaa35b3ec69d4ac410ff836cdcff04c1a5605447af55

Observation 79732c2e-5846-4954-8bbf-e46ca9f79cb4 · outbound

This paper cites Improving pairwise learning for item recommendation from implicit feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Improving pairwise learning for item recommendation from implicit feedback

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.118263Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.648385Z digest=sha256:a43d6bd371f7aed6c840b39d7b21cdb8e6389f6be4736f187d482e9a345d3955

Observation 45c533a9-fbf1-4161-aa0a-0c068326dffb · outbound

This paper cites BPR: Bayesian Personalized Ranking from Implicit Feedback.

NDCG-Consistent Softmax Approximation with Accelerated Convergence BPR: Bayesian Personalized Ranking from Implicit Feedback

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T04:57:48.654171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:57:48.654171Z digest=sha256:0c17357c69a1c29f056d8d3dd62e0a171fed2d2673f9c229f5e5437b458cba28

Observation 7bfa7bb4-e6b1-4006-9e7c-04d86012460b · outbound

This paper cites Revisiting the performance of ials on item recommendation benchmarks.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Revisiting the performance of ials on item recommendation benchmarks

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.102985Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.659552Z digest=sha256:2d9ecbd151799295a6d35194b8f78a4ae852952a3c7deb6fefd503e82d1681d1

Observation 034a9f82-7bca-4c53-be7d-c69d17555e18 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Facenet: A unified embedding for face recognition and clustering

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.088731Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.664413Z digest=sha256:fc42f194322a27e4fac5d9f96dc400412e57844684504da204cc9f3010676056

Observation fef56c95-6042-48ab-921a-9241bb1e2a81 · outbound

This paper cites Bridgland.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Bridgland

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.074912Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.669732Z digest=sha256:6b1069ce75b39b883782e9b1e6d58d97ff6cb599eb2927fa40f5d827845d20fe

Observation 800e9820-177d-4c4b-8410-a0c7d8f5ed5a · outbound

This paper cites Learning semantic representations using convolutional neural networks for web search.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning semantic representations using convolutional neural networks for web search

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.060352Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.674608Z digest=sha256:3c451bd2934b6730ab038fbd0e7dfd6da4eb6a4e493d70d0b5f9d6ba13b10c58

Observation 2ce3b229-7e33-4532-b12e-6b8b7efecfc7 · outbound

This paper cites Generalization error bounds for collaborative prediction with low-rank matrices.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Generalization error bounds for collaborative prediction with low-rank matrices

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.045660Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.679460Z digest=sha256:9c8641e9bd3a5c521acdfd5f3ffec4d003ec662602bd9a809220d5f4b4b569d8

Observation 9b2c7e39-2f84-421b-842d-e56e2c1eb86b · outbound

This paper cites Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.030772Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.684188Z digest=sha256:9c8d60c3ca0a9ae681dc9e9efc019c2a03bea26115fac2543cabf8745e05ac5e

Observation cfd828f5-0f0c-429a-84e7-6fd7f6bf0f2d · outbound

This paper cites Alternating least squares for personalized ranking.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Alternating least squares for personalized ranking

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.016395Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.688960Z digest=sha256:dea0ecd28a5afcededcc17a8e673a1e4734293cdf4e482717280eabbbca6bec0

Observation c4962b81-b45c-4078-99f2-6a14f3ee0b40 · outbound

This paper cites On the consistency of multiclass classification methods.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On the consistency of multiclass classification methods

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:49.001681Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.693612Z digest=sha256:37ceee71183e77db3391ac0743e973022d6f7391de4558aa59c7aaebd70faa6a

Observation 0fa5b2c5-3f51-48a6-bd42-bd0b02239b7a · outbound

This paper cites Learning fine-grained image similarity with deep ranking.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning fine-grained image similarity with deep ranking

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.986724Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.698959Z digest=sha256:b8254272cd3cf96d6ff3270908e9518a96b7eab729c12e4f99ec31649f38f293

Observation 35279c48-8871-4ad7-8e27-cd676676e507 · outbound

This paper cites Wsabie: Scaling up to large vocabulary image annotation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Wsabie: Scaling up to large vocabulary image annotation

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.969418Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.704494Z digest=sha256:fe4457e862e698b882505a42c24ac1d40b4a29b8b4b7097762b5cbf090e07e98

Observation eb545d1a-9bb4-4bfb-956f-68e674841780 · outbound

This paper cites On the Effectiveness of Sampled Softmax Loss for Item Recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On the Effectiveness of Sampled Softmax Loss for Item Recommendation

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:57:48.804669Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.709334Z digest=sha256:3ef7d625a1a7dd1213ee6b81d36e0a881f8e14ca656923166a020486fff5c7f7

Observation c0737551-eb9c-4997-9b7c-d16f146db804 · outbound

This paper cites A no-regret generalization of hierarchical softmax to extreme multi-label classification.

NDCG-Consistent Softmax Approximation with Accelerated Convergence A no-regret generalization of hierarchical softmax to extreme multi-label classification

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.952560Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.714628Z digest=sha256:17f8f2f6155d6b01931448adeba8dd70f9b5db754ed874cf8a2e59bb66ce402d

Observation 036f96ec-a480-4ce9-b1ca-d8e8a97e36d2 · outbound

This paper cites Batch is not heavy: Learning word representations from all samples.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Batch is not heavy: Learning word representations from all samples

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.937574Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.719330Z digest=sha256:b85d8b29c1320d92561ab33f6fa767a184498cb7165c133c3a95eea8e4a0f179

Observation 6e55c27a-6ee6-420b-b30d-f0ffe8b4a212 · outbound

This paper cites On the consistency of top-k surrogate losses.

NDCG-Consistent Softmax Approximation with Accelerated Convergence On the consistency of top-k surrogate losses

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.920603Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.724251Z digest=sha256:598838f62501bcf5e03ed46fbb9d5f42ba4e06277466b7f8998fc070f05d6557

Observation 17228924-a864-4575-bbb6-9ac765556d0f · outbound

This paper cites Sampling-bias-corrected neural modeling for large corpus item recommendations.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Sampling-bias-corrected neural modeling for large corpus item recommendations

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.905222Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.730642Z digest=sha256:40c6c88d794beceb6f87038e94d6a12bfcdac1f9dbc20e36c0e695e474899386

Observation da42db03-c37a-4aa4-91a8-d5a192d05bab · outbound

This paper cites Statistical behavior and consistency of classification methods based on convex risk minimization.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Statistical behavior and consistency of classification methods based on convex risk minimization

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.890328Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.736549Z digest=sha256:a18d1dbe6c02ace9c5a512fa0c3bc6d5fa3da54ff3f0e5e7145fc025a4ada824

Observation f22ebfbe-ff60-41c5-bd34-f7c40b0bcb2d · outbound

This paper cites Optimizing top-n collaborative filtering via dynamic negative item sampling.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Optimizing top-n collaborative filtering via dynamic negative item sampling

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.874129Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.742573Z digest=sha256:00d81e160436f62a9e446fae0c59ad69de21f0b149a562fb33ab1dcd13b180f2

Observation 2f2be40e-2cb7-4ade-aca5-3e1a26e5154a · outbound

This paper cites Learning explicit user interest boundary for recommendation.

NDCG-Consistent Softmax Approximation with Accelerated Convergence Learning explicit user interest boundary for recommendation

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:57:48.858389Z

Source-reported events for the cited work

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

source=arxiv_source observed=2026-08-07T04:57:48.748152Z digest=sha256:b0b5b1bf3ddd434755ed2afbdea36a1709d197d6ec23936913081dd3fea2f768

Pith citing papers

No inbound Pith citation observations are available.