Paper Citation Record · LEDGER

Hybrid Population Monte Carlo

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2412.19576.

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

pith.paper-citation-record.v1
2412.19576 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:16:16.000476Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy30
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0730db81-1fae-4d50-93d7-912721f8e464 · outbound

This paper cites Monte carlo statistical methods. 2004.

Hybrid Population Monte Carlo Monte carlo statistical methods. 2004

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.540143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d2b80b15-c869-4d8e-9749-341aa84f0bab · outbound

This paper cites an unresolved cited work.

Hybrid Population Monte Carlo Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:16:16.526212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7db69837-f69e-4cee-804e-4456ba986c1f · outbound

This paper cites Monte carlo theory, methods and examples,.

Hybrid Population Monte Carlo Monte carlo theory, methods and examples,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.512633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cc4ad0d4-a1a0-4b19-9f90-f907e5309622 · outbound

This paper cites Generalized multiple importance sampling,.

Hybrid Population Monte Carlo Generalized multiple importance sampling,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.499433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b416682-a5ad-430f-a0f6-29fae4b65c43 · outbound

This paper cites Adaptive importance sampling in monte carlo integration,.

Hybrid Population Monte Carlo Adaptive importance sampling in monte carlo integration,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.486729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33582e0f-e2dc-4c24-b098-7f0521ad0039 · outbound

This paper cites Population monte carlo,.

Hybrid Population Monte Carlo Population monte carlo,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.472717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 43c9f74e-a095-4391-86b2-5ec36a3229b4 · outbound

This paper cites Comparison of resampling schemes for particle filtering,.

Hybrid Population Monte Carlo Comparison of resampling schemes for particle filtering,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.459051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fba88f90-1bc4-4024-ae66-0923a7f1bfa8 · outbound

This paper cites Resampling methods for particle filtering: classification, implementation, and strategies,.

Hybrid Population Monte Carlo Resampling methods for particle filtering: classification, implementation, and strategies,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.445170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9d9475a-91a8-4d81-95b5-53ef8ac40d6c · outbound

This paper cites Adaptive importance sampling: the past, the present, and the future,.

Hybrid Population Monte Carlo Adaptive importance sampling: the past, the present, and the future,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.430936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 640c4247-cf6a-409f-9077-c3571da9ca14 · outbound

This paper cites Advances in Importance Sampling.

Hybrid Population Monte Carlo Advances in Importance Sampling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T00:16:15.886897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d076eca2-e77e-4d9d-8968-ce289a76cc02 · outbound

This paper cites A population monte carlo scheme with transformed weights and its application to stochastic kinetic models,.

Hybrid Population Monte Carlo A population monte carlo scheme with transformed weights and its application to stochastic kinetic models,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.345396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f23e9144-ebef-455f-982c-b8db1670b717 · outbound

This paper cites Adaptive importance sampling in general mixture classes,.

Hybrid Population Monte Carlo Adaptive importance sampling in general mixture classes,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.331710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d392b232-4399-49f6-b359-1ebf0090d9dc · outbound

This paper cites Improving population monte carlo: Alternative weighting and resampling schemes,.

Hybrid Population Monte Carlo Improving population monte carlo: Alternative weighting and resampling schemes,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.315379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fa4492bb-75f1-4719-9bea-282e85ac3ace · outbound

This paper cites Langevin-based strategy for efficient pro- posal adaptation in population monte carlo,.

Hybrid Population Monte Carlo Langevin-based strategy for efficient pro- posal adaptation in population monte carlo,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.292649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7229147-7279-49bc-af2b-7bf822919bdf · outbound

This paper cites Optimized population monte carlo,.

Hybrid Population Monte Carlo Optimized population monte carlo,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.277047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6b7cb330-8645-4baa-997e-6ac806cdcb0f · outbound

This paper cites Adaptive mul- tiple importance sampling,.

Hybrid Population Monte Carlo Adaptive mul- tiple importance sampling,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.262203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ba7b2aa0-c740-4cfd-8b40-38aa23021737 · outbound

This paper cites An adaptive popula- tion importance sampler: Learning from uncertainty,.

Hybrid Population Monte Carlo An adaptive popula- tion importance sampler: Learning from uncertainty,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.247446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f03f4a4-2ad0-4b59-8a88-34ed2505e5cb · outbound

This paper cites Efficient sequential monte-carlo samplers for bayesian inference,.

Hybrid Population Monte Carlo Efficient sequential monte-carlo samplers for bayesian inference,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.417249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c05dee36-8dfe-46cc-aa39-19bb397d6b9e · outbound

This paper cites Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo.

Hybrid Population Monte Carlo Persistent Sampling: Enhancing the Efficiency of Sequential Monte Carlo

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:16:16.061379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 531361f2-9a13-4a55-b09e-8a7927e8a171 · outbound

This paper cites A gradient adaptive population importance sampler,.

Hybrid Population Monte Carlo A gradient adaptive population importance sampler,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.403291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b4fa58d-e887-49c8-a5c0-4718043aa443 · outbound

This paper cites Gradient Importance Sampling.

Hybrid Population Monte Carlo Gradient Importance Sampling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:16:15.907235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88c414a5-37c1-4d75-9365-5ed1311e79a5 · outbound

This paper cites Langevin incremental mixture importance sampling,.

Hybrid Population Monte Carlo Langevin incremental mixture importance sampling,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.389156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1a618f3e-c453-4022-a683-51f5b1375b5f · outbound

This paper cites Layered adaptive importance sampling,.

Hybrid Population Monte Carlo Layered adaptive importance sampling,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.373842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1ce07ad9-a28a-48f6-b8ab-6fce5d676a3d · outbound

This paper cites Markov chain importance sampling-a highly efficient estimator for mcmc,.

Hybrid Population Monte Carlo Markov chain importance sampling-a highly efficient estimator for mcmc,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.359449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 64918cda-2b31-4027-8a65-38a79c9f868f · outbound

This paper cites Hamiltonian adaptive impor- tance sampling,.

Hybrid Population Monte Carlo Hamiltonian adaptive impor- tance sampling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.232200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd603f6a-f537-47a4-8319-307a9188c2b3 · outbound

This paper cites Hybrid monte carlo,.

Hybrid Population Monte Carlo Hybrid monte carlo,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T00:16:15.960442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07430ab2-5def-42ff-9db3-dbcb6dc96a31 · outbound

This paper cites Mcmc using hamiltonian dynamics,.

Hybrid Population Monte Carlo Mcmc using hamiltonian dynamics,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.208916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1d21459-09f5-4e76-bfaf-6062aa7fea8e · outbound

This paper cites Optimally combining sampling techniques for monte carlo rendering,.

Hybrid Population Monte Carlo Optimally combining sampling techniques for monte carlo rendering,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.194757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 28dba6b1-fa06-42e5-99f6-fc6948ff77fc · outbound

This paper cites Safe and effective importance sampling,.

Hybrid Population Monte Carlo Safe and effective importance sampling,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.180861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9b290cc3-bea8-4ae3-817b-6007ec08b59c · outbound

This paper cites Efficient mul- tiple importance sampling estimators,.

Hybrid Population Monte Carlo Efficient mul- tiple importance sampling estimators,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.166246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2b2405e4-0069-4694-9cbd-b1ccd898a322 · outbound

This paper cites Heretical multiple importance sampling,.

Hybrid Population Monte Carlo Heretical multiple importance sampling,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.150634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b877b1e9-8b33-4564-8707-bcf0ef740d73 · outbound

This paper cites Population monte carlo schemes with reduced path degeneracy,.

Hybrid Population Monte Carlo Population monte carlo schemes with reduced path degeneracy,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.136095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cbf7c101-274a-4b9e-a69d-7056ef64360e · outbound

This paper cites Anti-tempered layered adaptive importance sampling,.

Hybrid Population Monte Carlo Anti-tempered layered adaptive importance sampling,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.121769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5aabacb9-e580-4363-a7d2-2f6585b73a1d · outbound

This paper cites A review of resampling techniques in particle filtering framework,.

Hybrid Population Monte Carlo A review of resampling techniques in particle filtering framework,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.107381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9c6a55c4-27e9-48fd-bbec-744696bb3d2e · outbound

This paper cites An adaptive metropolis algorithm,.

Hybrid Population Monte Carlo An adaptive metropolis algorithm,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T00:16:16.092805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

No inbound Pith citation observations are available.