Pith. sign in

Paper Citation Record · LEDGER

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization

As of 8 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 1 inbound Pith citation observation for arXiv:2511.07836.

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

pith.paper-citation-record.v1
2511.07836 v5

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:00:45.293564Z

measured 9 of 9 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:42:35.025479Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f697429f-e579-4fcc-9dc3-ed55203c7174 · outbound

This paper cites Ivanovska.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Ivanovska

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T23:00:44.530856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:00:44.530856Z digest=sha256:23fc5c325a600478740b54d66d8822849489d645fbe3f081820a6ec77fce390c

Observation cff47408-6992-4491-9e2f-fc33212a7804 · outbound

This paper cites High-Dimensional Quasi-Monte Carlo via Combinatorial Discrepancy.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization High-Dimensional Quasi-Monte Carlo via Combinatorial Discrepancy

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-03T23:00:44.608315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:00:44.608315Z digest=sha256:eb08f64c74d2d8b5426bbcdc1eed08b4616d407b48675b2da722119ec11291d4

Observation d5a877ab-0213-4afc-8ed7-c55cb7dd70d6 · outbound

This paper cites an unresolved cited work.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-03T23:03:24.360172Z

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=2026-08-03T23:00:44.728648Z digest=sha256:e9cad79313d1cdd28f71b454ec652b9891cb1ac2ac1c1e23a85ef578671d4411

Observation ba3dd547-965f-4034-84e0-a71b0c6824c4 · outbound

This paper cites an unresolved cited work.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T23:00:44.833624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:00:44.833624Z digest=sha256:588aa9bb9551792ef9230e8d1ea58717b5b17e1184a254000eb2150b11082df5

Observation de553a6a-0cc5-4fed-ac5d-690f0c958863 · outbound

This paper cites Naser, Mohammed K.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Naser, Mohammed K

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T23:00:44.935230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:00:44.935230Z digest=sha256:64f94c3045906b6010613d1ff18bf2b6b7b349dd7be52f160926d3db9217aa1d

Observation 4ed5682f-60d2-4ff6-84e5-11cdbac34da1 · outbound

This paper cites Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Interpreting the Curse of Dimensionality from Distance Concentration and Manifold Effect

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T23:00:45.079361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:00:45.079361Z digest=sha256:9d045ddb3ee92534e73d9818aa2bce702bf3c6b785ea53e0ef78981b992ffe4a

Observation 24da9889-0ea7-4398-8d62-ba34054ef4fc · outbound

This paper cites an unresolved cited work.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T23:00:45.228376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:00:45.228376Z digest=sha256:ec725c583c04e006d3b4d6e3bce29fbbd35f3e00c2f04eb54856de94ed595878

Observation b23d784e-ca60-4fd1-b922-7f18b51e879d · outbound

This paper cites an unresolved cited work.

Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-08-03T23:03:24.115653Z

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=2026-08-03T23:00:45.293564Z digest=sha256:967de83e20669b7c5a917081470a273523094c059f9379a65f3bad73d70bc081

Pith citing papers

Observation c20bf881-6b30-4a7b-b4ee-c31e6bb3f1d8 · inbound

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning cites this paper.

Quasi-Monte Carlo Initialization for Meta-Reinforcement Learning Hyperellipsoid Density Sampling: Exploitative Sequences to Accelerate High-Dimensional Numerical Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T14:42:35.025479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:42:35.025479Z digest=sha256:675cadb511a66461b41cde6016c7c476605f9441fa51e5e7ad4111970d0e041c