Paper Citation Record · LEDGER

Advances in Importance Sampling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.05407.

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

pith.paper-citation-record.v1
2102.05407 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:15.766679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 3871ef53-9b38-4752-8aea-40ca93b15aca · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Advances in Importance Sampling

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:15.766679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7349fe98-4f31-4a1e-9dfd-e3f7d683c145 · inbound

A novel sequential method for building upper and lower bounds of moments of distributions cites this paper.

A novel sequential method for building upper and lower bounds of moments of distributions Advances in Importance Sampling

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:18:56.730550Z

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.

Observation 4185895d-e779-4af3-b197-078a5f6dfb61 · inbound

A renormalization-group inspired lattice-based framework for piecewise generalized linear models cites this paper.

A renormalization-group inspired lattice-based framework for piecewise generalized linear models Advances in Importance Sampling

Reference 180

Resolution: verified exact; arxiv_id, observed 2026-05-08T20:59:11.828718Z

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.

Observation 23020c82-383c-410b-a5f7-15b5eef28845 · inbound

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL cites this paper.

DISA: Offline Importance Sampling for Distribution-Matching LLM-RL Advances in Importance Sampling

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:13:24.867325Z

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.

Observation 7d6d22f2-0625-4b2f-a72b-fa6e80a4625d · inbound

The Wasserstein cost of Importance Sampling cites this paper.

The Wasserstein cost of Importance Sampling Advances in Importance Sampling

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T05:43:07.906182Z

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.