Pith. sign in

Paper Citation Record · LEDGER

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2508.19364.

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

pith.paper-citation-record.v1
2508.19364 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:58:47.280514Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

16 of 16 outbound references displayed

  • verified exact1
  • verified fuzzy11
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b82a07b-8403-4876-bf81-d73021cb87ac · outbound

This paper cites Sensor/Information Fusion, and Target Recognition XXXI.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Sensor/Information Fusion, and Target Recognition XXXI

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.528255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.062688Z digest=sha256:374ecb78dd36db9b76a5146be64ca139b116324c044d0a31f5304c49e21a5192

Observation 241cabe5-10c4-45db-9004-b0083ab85b8d · outbound

This paper cites Information fusion as an autonomy enabler for uas traffic management (utm).

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Information fusion as an autonomy enabler for uas traffic management (utm)

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.514380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.117964Z digest=sha256:cbc64d4ffdaba0fd92420d3b27be3584ca1a7ea7ebf3c9dbedf66043ac8c1d3f

Observation d835f91e-1f72-4db9-b3ea-5fe5d751f2ff · outbound

This paper cites ImpactofDataPoisoningAttacksonFeasibility and Optimality of Neural Power System Optimizers.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems ImpactofDataPoisoningAttacksonFeasibility and Optimality of Neural Power System Optimizers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.500364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.148398Z digest=sha256:1491215666ea07947666e726ffed68e6ba3c855bc127b963cd2092f3e5b4b377

Observation e16d2af4-b73f-4373-b355-5054470449bb · outbound

This paper cites Data Poisoning: An Overlooked Threat to Power Grid Resilience.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Data Poisoning: An Overlooked Threat to Power Grid Resilience

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:58:47.364106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.172780Z digest=sha256:f5dfad97cf9b15b3448e8d9ac425dd18a86b17fc2e5215924dd694bc12834c5b

Observation 64925cc9-daa0-4219-9613-336473e77429 · outbound

This paper cites Meta Optimal Transport.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Meta Optimal Transport

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T16:58:47.191873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:58:47.191873Z digest=sha256:a823836bf1ae1152f41e9b252cd8e050b18e2c0f4fe78b49a7dc37cdb43250ae

Observation 2b38e239-2798-457e-a5ec-fdc966ddeff5 · outbound

This paper cites Learning to solve optimization problems with hard linear constraints.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Learning to solve optimization problems with hard linear constraints

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.486211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.225211Z digest=sha256:b877f3137ca5ba2d44421eeec400f947d5f0d66a48fa71501e956b9078e34b44

Observation 32839075-5135-41b2-bf3b-d33bba9383b7 · outbound

This paper cites Learningassistedagent-basedenergyoptimization:Areinforcementlearning based consensus+ innovations approach.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Learningassistedagent-basedenergyoptimization:Areinforcementlearning based consensus+ innovations approach

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.472042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.243997Z digest=sha256:52dbe4b46640c5dfda31855d02de57c626af393c18c6ae21fe6be3d26252f8f9

Observation ef961991-94df-46cc-b8f6-6ec800fdebaa · outbound

This paper cites Machinelearning/artificialintelligenceforsensordatafusion–opportunities and challenges.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Machinelearning/artificialintelligenceforsensordatafusion–opportunities and challenges

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.456906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.248032Z digest=sha256:db4e8619374204f8483b63f05db335f1d6d967778d94ed3c2dd0734978023697

Observation 0694d44c-99c4-4275-9cec-9cc14a2bff32 · outbound

This paper cites Permutation Equivariance of Transformers and Its Applications.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Permutation Equivariance of Transformers and Its Applications

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.443269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.251986Z digest=sha256:55e09c5933517a85a2b41d19467642b44401f552b4238de1872f94b1404d9d8f

Observation e05cd7cc-b044-4359-a6da-b68d3ac266c4 · outbound

This paper cites Gauge equivariant transformer.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Gauge equivariant transformer

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.429087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.256056Z digest=sha256:b8e41790cf974326dcb48d24d38e19769baf1253182e60edbfcb0f3fc7495064

Observation d25451f6-8213-41f9-b3aa-5ad106685cca · outbound

This paper cites Teachingnetworkstosolveoptimizationproblems.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Teachingnetworkstosolveoptimizationproblems

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.415005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.259925Z digest=sha256:7448dc11bade76323469aa6708dc708df5d4df2478a0d1f30bc76e2b83410af5

Observation 3069810d-c745-4770-8a97-bfbc666b43bd · outbound

This paper cites DeepOPF+:AdeepneuralnetworkapproachforDCoptimalpowerflow for ensuring feasibility.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems DeepOPF+:AdeepneuralnetworkapproachforDCoptimalpowerflow for ensuring feasibility

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.401497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.264292Z digest=sha256:f9f2e5ce47dfd90c9aa49c86b81237b191c94970b1dac5cf1641fbec4345ecd6

Observation b3a7645e-6041-4df3-9477-b014ab3c90c4 · outbound

This paper cites Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Toward Rapid, Optimal, and Feasible Power Dispatch through Generalized Neural Mapping

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T16:58:47.268273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:58:47.268273Z digest=sha256:58eefdc41279c471c249fd2c97b9cd69512e0368b0f0be17d6bce43479df6062

Observation 476bf597-7c87-4611-9a01-51d50d26d8a7 · outbound

This paper cites Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Machine Learning Infused Distributed Optimization for Coordinating Virtual Power Plant Assets

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T16:58:47.272674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:58:47.272674Z digest=sha256:f5b501728d853129cc9b0aa8d04c89373bfe71e52f1f5715859266d664a0c66c

Observation 92a6a020-5fdb-4e26-82d6-45344f28f909 · outbound

This paper cites Gurobi Optimizer Reference Manual,.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Gurobi Optimizer Reference Manual,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T16:58:47.276744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:58:47.276744Z digest=sha256:dd4d2654f71678bd10dcfd1cf8e01f03d6074c351392383a23910233516ce045

Observation 00a14696-1f9c-4382-b5c3-cc205ba2cff2 · outbound

This paper cites Permutation equivariant neural functionals.

Towards Reliable Neural Optimizers: Permutation-Equivariant Neural Approximation in Dynamic Data Driven Applications Systems Permutation equivariant neural functionals

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:58:47.378191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T16:58:47.280514Z digest=sha256:ce32ab4c5cc318c74aaf256d518a5a2dd59371ad0e926344e5bb1d0cd9c80d8b

Pith citing papers

No inbound Pith citation observations are available.