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Paper Citation Record · LEDGER

An Elementary Proof of the Near Optimality of LogSumExp Smoothing

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2512.10825.

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

pith.paper-citation-record.v1
2512.10825 v3

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T17:11:17.854303Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

17 of 17 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 009d5af9-010e-4c1c-82ff-345f2207fef9 · outbound

This paper cites Smooth minimization of non-smooth functions.Math.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Smooth minimization of non-smooth functions.Math

Reference 1

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no resolver link, observed 2026-08-03T17:11:16.230315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.230315Z digest=sha256:353b231c3e194898d6c4c64d16bc1622257a10499e9c01d7fcdfd864016a8a28

Observation 9fc58377-a10b-41a3-b45f-9e5793d31ac6 · outbound

This paper cites an unresolved cited work.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-03T17:11:16.357388Z

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source=pdf_text observed=2026-08-03T17:11:16.357388Z digest=sha256:f6bf0142342d2329cfaffe5b9a2fdccf528360b97d5f808655137c39e483bdd0

Observation 2d52df05-347b-4aa9-8aa6-946700555ab5 · outbound

This paper cites an unresolved cited work.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-03T17:11:16.500857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.500857Z digest=sha256:57fd4a6fc577e08d45b35613fb4067f4bb66dce5ab239512d26321bc6da623ba

Observation ed68b278-dfe4-47fc-8bf7-d3c528337821 · outbound

This paper cites Smoothing and first order methods: A unified framework.SIAM Journal on Optimization, 22:557–580, 2012.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Smoothing and first order methods: A unified framework.SIAM Journal on Optimization, 22:557–580, 2012

Reference 4

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no resolver link, observed 2026-08-03T17:11:16.610751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.610751Z digest=sha256:dd2f8dcdf12dd04d473613de613821286172518662eaa9136c55c58de8885e32

Observation 8a5f2c29-613e-4311-a2f7-9c1cc68717c3 · outbound

This paper cites A method of solving a convex programming problem with convergence rateo(1/k2).

An Elementary Proof of the Near Optimality of LogSumExp Smoothing A method of solving a convex programming problem with convergence rateo(1/k2)

Reference 5

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no resolver link, observed 2026-08-03T17:11:16.685360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.685360Z digest=sha256:24cf752f2fcdadf791b321c5d558c9b2ca3e378275eedd254fd91beebf9a8812

Observation db0ad8ab-2e0d-494a-8014-5ebd923bbf7c · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 6

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no resolver link, observed 2026-08-03T17:11:16.772297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 424a73ca-99e6-4b5b-b197-72f448c6a754 · outbound

This paper cites Optimal approxi- mation - smoothness tradeoffs for soft-max functions.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Optimal approxi- mation - smoothness tradeoffs for soft-max functions

Reference 7

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no resolver link, observed 2026-08-03T17:11:16.827314Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.827314Z digest=sha256:32e65729df65206ba6709ff818c17579b0915ed951355bbf765c11ff5640d23c

Observation ea5cd93a-5be7-4cb4-8130-0bc6372037af · outbound

This paper cites Helmbold, Robert E.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Helmbold, Robert E

Reference 8

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no resolver link, observed 2026-08-03T17:11:16.879396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.879396Z digest=sha256:61e29e2e2b760203847e152ab02549da408d85e36365b3b7447fc8aaee84d734

Observation 66cc8407-37cc-479c-a826-27e65e4d47e3 · outbound

This paper cites Proximité et dualité dans un espace hilbertien.Bulletin de la Société Mathématique de France, 93:273–299, 1965.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Proximité et dualité dans un espace hilbertien.Bulletin de la Société Mathématique de France, 93:273–299, 1965

Reference 9

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no resolver link, observed 2026-08-03T17:11:16.954875Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:16.954875Z digest=sha256:cc0fd2491a78e61cd14e858eb7156fec4b6e59b0d9b1ed550dcd2cf70ddbebfb

Observation 68d4c3fd-4f55-4aaa-abfc-4596fb63919b · outbound

This paper cites The Optimal Smoothings of Sublinear Functions and Convex Cones.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing The Optimal Smoothings of Sublinear Functions and Convex Cones

Reference 10

Resolution
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no resolver link, observed 2026-08-03T17:11:17.015862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:17.015862Z digest=sha256:98a869eedd299fa852ae9d2aaddffcfcd967ef6f62d865d3e901e0e8008c5b7c

Observation a0828547-e8af-40d1-ad68-0c57316711bb · outbound

This paper cites On lower complexity bounds for large-scale smooth convex optimization.Journal of Complexity, 31(1):1–14, 2015.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing On lower complexity bounds for large-scale smooth convex optimization.Journal of Complexity, 31(1):1–14, 2015

Reference 11

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no resolver link, observed 2026-08-03T17:11:17.087128Z

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Unavailable: canonical work link unavailable.

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Observation 4df8a0b7-784a-407b-a291-e9cb4bc8130d · outbound

This paper cites The price of adaptivity in stochastic convex optimization.Mathematical Programming, Sep 2025.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing The price of adaptivity in stochastic convex optimization.Mathematical Programming, Sep 2025

Reference 12

Resolution
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no resolver link, observed 2026-08-03T17:11:17.204078Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:17.204078Z digest=sha256:7f1b953160ae095ffb068866338281332a2a8303e134ef59069f50d8cdd843c9

Observation 058306c1-f9c8-4d3c-a665-ac0fa882d237 · outbound

This paper cites Online learning and online convex optimization.Found.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Online learning and online convex optimization.Found

Reference 13

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no resolver link, observed 2026-08-03T17:11:17.349311Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:17.349311Z digest=sha256:f192c129eebb1308d444ed64b53d2a76f027ed7ce35153c0aa74bbb82b24b26a

Observation 425710ef-ff9f-40d4-95c4-5cd1607dd5f6 · outbound

This paper cites Online Learning: A Modern Introduction Using Convex Optimization.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Online Learning: A Modern Introduction Using Convex Optimization

Reference 14

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no resolver link, observed 2026-08-03T17:11:17.463989Z

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source=pdf_text observed=2026-08-03T17:11:17.463989Z digest=sha256:d60c5e0555f54428a575c4cb53d63d2a17dad6e2ef4a20e609574671bf49808d

Observation a7b8057e-3852-4ff7-a545-c1048a8ab2b1 · outbound

This paper cites Accelerated first-order methods for hyperbolic programming.Math.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Accelerated first-order methods for hyperbolic programming.Math

Reference 15

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source=pdf_text observed=2026-08-03T17:11:17.579217Z digest=sha256:630b960e76a3a86de6151b5bbbedbf751acb1acb227f9d21e1a5b7689ffd99b0

Observation 4ded4b5e-5048-4e47-904b-bccb1eb00df2 · outbound

This paper cites Radial duality part ii: applications and algorithms.Math.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Radial duality part ii: applications and algorithms.Math

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T17:11:17.754657Z digest=sha256:8a78480d05639a4910b6ae661259a451bc76c5a4f548c3e26c5e71d5acd09ee0

Observation adea75bb-26de-4fd2-903c-e581d2f15bb9 · outbound

This paper cites Follow-the-Regularized-Leader.

An Elementary Proof of the Near Optimality of LogSumExp Smoothing Follow-the-Regularized-Leader

Reference 17

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no resolver link, observed 2026-08-03T17:11:17.854303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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