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Paper Citation Record · LEDGER

Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1611.05916.

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

pith.paper-citation-record.v1
1611.05916 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:15:08.104434Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T16:29:56.525439Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a3e1b482-8593-43a2-bc0f-e90bb3e881bb · inbound

Explaining Automatic Image Assessment cites this paper.

Explaining Automatic Image Assessment Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-09T14:15:08.104434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f0046f4f-7133-4885-bc0c-6fba14c034dd · inbound

Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction cites this paper.

Aleatoric and Epistemic Uncertainty Measures for Ordinal Classification through Binary Reduction Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T21:15:37.285378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:15:37.285378Z digest=sha256:0f9cb1c2dd7dd5fd6585ea22e6d11d9678f96c61c728732cbc3d23e9537bf83b

Observation 3b1bbdec-f801-46e3-8b24-5b4db85f186b · inbound

Differentiable Halo Mass Prediction and the Cosmology-Dependence of Halo Mass Functions cites this paper.

Differentiable Halo Mass Prediction and the Cosmology-Dependence of Halo Mass Functions Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:21.225933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6761b1f6-92b2-4f97-84f3-ac8315732c1b · inbound

Conveyance: A Versatile Framework for Learning in Structured Class Spaces cites this paper.

Conveyance: A Versatile Framework for Learning in Structured Class Spaces Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 19

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verified exact
local_arxiv, observed 2026-06-29T14:33:30.502453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T14:29:40.520208Z digest=sha256:cfa97764e24b8dbb61835d8dfc54266919e09ab1562701c5297cbed48d6b2491

Observation 432c32fb-5853-4de0-b502-0322b05837c2 · inbound

Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score cites this paper.

Reliable Conformal Prediction for Ordinal Classification Using the Ranked Probability Score Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-07-04T16:29:56.527510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T00:43:55.044690Z digest=sha256:4521db7a5fa785846fa7acd3c7dcad52bfef429dc081f2d40950b71639126ae1

Observation e8c568dd-ef42-4565-8346-7e149783d03f · inbound

Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection cites this paper.

Beyond Independent Labels: Schwartz-Geometry Decoding for Human Value Detection Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 60

Resolution
unresolved
no resolver link, observed 2026-07-11T09:33:35.611992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T09:33:35.611992Z digest=sha256:fcfc5889b674c6aaee245740654f521e88bd565e65a6763b02156d0e6ef13453

Observation e8579f5a-b3a0-4497-b39a-a45de7ab83c3 · inbound

Evaluating and Pricing Advertisements in AI-Generated Responses cites this paper.

Evaluating and Pricing Advertisements in AI-Generated Responses Squared Earth Mover's Distance-based Loss for Training Deep Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-01T03:21:43.364408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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