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Paper Citation Record · LEDGER

On importance sampling and independent Metropolis-Hastings with an unbounded weight function

As of 14 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 5 inbound Pith citation observations for arXiv:2411.09514.

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

pith.paper-citation-record.v1
2411.09514 v3

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:48:06.259064Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T22:37:41.989633Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:26:54.832833Z

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 31d0f3bc-a025-4dbb-8c32-495db7a17cd1 · outbound

This paper cites more likely to contain outliers, are down-weighted in the final estimate.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function more likely to contain outliers, are down-weighted in the final estimate

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:48:06.388250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.207289Z digest=sha256:7c7388b336f3828cf460c74fcf55ba6ae8f6b9c328a2b333fc6d4cc22beb1ea3

Observation b3888aed-bd9e-48bd-a5da-c6d4b0ccc5d2 · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.373980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.222016Z digest=sha256:bbb608f2f49760207f87bd48daca81197b00efc8f13472ec1336be7c4d4c99e6

Observation 86533ed3-b22a-4dac-9203-575d2a35dd43 · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.360821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.227503Z digest=sha256:96b8d2d779e0b58ee114ba65aff2ca253996f613b983801a3b59256d3bfe8e9d

Observation 47d8e64e-ff9d-40e9-9696-87dada3c1208 · outbound

This paper cites (b) Compute the weight: wj = 1 (ˆσ2 j + ˜σ2)a/2.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function (b) Compute the weight: wj = 1 (ˆσ2 j + ˜σ2)a/2

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:48:06.347246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.232090Z digest=sha256:e57dcd7000b18f8bbe22f615aba78970b1ab66dc8c785457c9a654cffb816521

Observation 2ef9bde2-144b-44f7-8cf6-94d46d3f9415 · outbound

This paper cites The regularization term˜σ2 stabilizes the weights and prevents small variances from causing numerical instability.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function The regularization term˜σ2 stabilizes the weights and prevents small variances from causing numerical instability

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:48:06.333928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.236028Z digest=sha256:53a585ecb247aeae58602b3fa001158ba372785aaa0acd0160b133b63dd5d119

Observation 2cebfe6d-fb7c-4b6f-aef2-5042fb3f9815 · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.414007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.240298Z digest=sha256:59b442b16db32c7d74c8cb348776d28c00b414df5c910790464f2e9c9f7162af

Observation e45e39db-8863-47bd-950f-c4236e3e9a0a · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.401127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.244124Z digest=sha256:6e116898e5af1f9771dbc6f790d20d2648e2f72ef652bee5b0e2bb251c90e9a0

Observation fed8f11f-d02d-4de1-aadf-aa221d35c0c4 · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.319360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.248008Z digest=sha256:86701697486c3031f20f13cf5fdef1c6308dcc5b2e4b9d71fd956d0a91f2db68

Observation c0d809aa-a277-4537-9f44-6a4c61b439b1 · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.307343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.253318Z digest=sha256:1bd96202727ff5a14ea5e2b39b478cf052df567abdd22457091630b56e1c9fc7

Observation 35490e90-b660-45e4-a734-80ea6c7965a3 · outbound

This paper cites an unresolved cited work.

On importance sampling and independent Metropolis-Hastings with an unbounded weight function Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:48:06.292989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T20:48:06.259064Z digest=sha256:ad8fdd855787f957c7e6198222e656794acb189b9ff21f25370dfb496bc8e708

Pith citing papers

Observation 2b370923-f011-487c-8de3-18334360db8b · inbound

The $L_p$-error rate for randomized quasi-Monte Carlo self-normalized importance sampling of unbounded integrands cites this paper.

The $L_p$-error rate for randomized quasi-Monte Carlo self-normalized importance sampling of unbounded integrands On importance sampling and independent Metropolis-Hastings with an unbounded weight function

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T22:37:41.989633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:37:41.989633Z digest=sha256:73bc6293b7c6b3803705979011fa3d3ee8b8b189ab397fbb27284cb3aa7bb1cc

Observation abab8b54-c073-48e9-bd52-c660929130b7 · inbound

Couple to Control: Joint Initial Noise Design in Diffusion Models cites this paper.

Couple to Control: Joint Initial Noise Design in Diffusion Models On importance sampling and independent Metropolis-Hastings with an unbounded weight function

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T02:17:04.869541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T02:14:40.650623Z digest=sha256:2bfa875786e3b7a7179e91c4aeb24f1d02cb56432c715a0b833e28fb54ea406d

Observation dd00950a-d447-4e0d-ae49-ab303c7bed21 · inbound

Convergence of zeroth-order proximal point algorithms in the high-temperature regime cites this paper.

Convergence of zeroth-order proximal point algorithms in the high-temperature regime On importance sampling and independent Metropolis-Hastings with an unbounded weight function

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:17:04.869541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T05:17:57.454692Z digest=sha256:b05b84681618c85dc77d790c1ac9f4f6e8c002df318511ce05dbb092d4821b1f

Observation e7411dff-2f60-4a5e-acf7-e90c5351217a · inbound

Local and Global Contraction Principles for MCMC Mixing cites this paper.

Local and Global Contraction Principles for MCMC Mixing On importance sampling and independent Metropolis-Hastings with an unbounded weight function

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T02:17:04.869541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T08:40:52.324344Z digest=sha256:1161f0b3d64a4f6f759ab4755c5cc2d02ee06059f718fcc8f059b03a2bbed421

Observation 399b167a-d8a4-4fa6-8b9b-3527b4179e10 · inbound

A New Perspective on Reverse Diffusion for Monte Carlo Sampling cites this paper.

A New Perspective on Reverse Diffusion for Monte Carlo Sampling On importance sampling and independent Metropolis-Hastings with an unbounded weight function

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-03T02:17:04.869541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-28T03:37:56.053260Z digest=sha256:a2484c157670f2bafb1b602a9fa24526af56ff233e4fa111a91b86b5fc2c369d