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Paper Citation Record · LEDGER

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference

As of 22 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 3 inbound Pith citation observations for arXiv:2502.00100.

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

pith.paper-citation-record.v1
2502.00100 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T20:14:52.280525Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T06:07:41.541479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T08:21:06.859725Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact3
  • verified fuzzy7
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 624c7c5f-cb48-448e-a1c6-0d6f622de611 · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-09T20:14:52.134683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.134683Z digest=sha256:be9afedda7fe19ac6df41de26be05db7385adfcf67da038407a3f701f6e7c532

Observation af78193d-2899-45f5-b537-16c9c95ce0fd · outbound

This paper cites M., Huang, J., Pérez, L.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference M., Huang, J., Pérez, L

Reference 2

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no resolver link, observed 2026-08-09T20:14:52.139239Z

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source=arxiv_source observed=2026-08-09T20:14:52.139239Z digest=sha256:b87909f7a6c74976c19166a1e5f90f45eac8bbe0d4c89efc6fba9438dc1f28bc

Observation 3c87c8fb-4983-4b63-a441-3ad7de24d18f · outbound

This paper cites G., Pearlmutter, B.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference G., Pearlmutter, B

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T20:14:52.143018Z digest=sha256:e42b4e790eb1a397152ce0b00713c12b0d35539ec81e20252c2fb436f1a369d6

Observation 5b58147a-54aa-467b-aab2-6a3106c2503b · outbound

This paper cites T., Pérez, L.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference T., Pérez, L

Reference 4

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source=arxiv_source observed=2026-08-09T20:14:52.147047Z digest=sha256:975681fc88ba4ac962a905c31f5430fd056ee9c5bf55071c4fb94db5ae3ab24b

Observation e13d2cc1-0e9d-4504-8491-718e71de01be · outbound

This paper cites P., Jankowiak, M., Obermeyer, F., Pradhan, N., Karaletsos, T., Singh, R., Szerlip, P., Horsfall, P., & Goodman, N.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference P., Jankowiak, M., Obermeyer, F., Pradhan, N., Karaletsos, T., Singh, R., Szerlip, P., Horsfall, P., & Goodman, N

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T20:14:52.150820Z digest=sha256:b0d436aa69ec8bf8a05eb71796eaf557dd082cbdc59c0f7e9ef7f527f49117ba

Observation dabe44f7-8792-4b12-8623-0fde35e08e18 · outbound

This paper cites M., & Bishop, H.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference M., & Bishop, H

Reference 6

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no resolver link, observed 2026-08-09T20:14:52.155254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.155254Z digest=sha256:c48d21c2e8c529d64ede948b6354efd9036f433b22d90d5b700dd5152def4046

Observation 1510566f-2777-4cbe-b10d-730f5399b163 · outbound

This paper cites E., Casassus, S., Moral, V., & Rannou, F.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference E., Casassus, S., Moral, V., & Rannou, F

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.159652Z digest=sha256:293070803bab6774227c6971c046994e9305bc1b305717e026c7bfd4ecdca31e

Observation 5248a00c-1303-42c9-aaf6-0af71648bdcc · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-09T20:14:52.163468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.163468Z digest=sha256:1abb956b1aa36231c3b18ea9488018de40e18571cd14b567278978cf0eeb08fb

Observation 10dc01be-4f18-46ee-9fd9-7125c1855f0d · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 9

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no resolver link, observed 2026-08-09T20:14:52.167077Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.167077Z digest=sha256:7712a68e7642a4dccee0c124e950a913a6eb56a83d02d9cb5bd0b2dfc89e39fd

Observation fb9bfe00-c272-4f56-9477-5c8f0cba3716 · outbound

This paper cites J., & Ransom, S.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference J., & Ransom, S

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T20:14:52.170773Z digest=sha256:5715427d69bb6399bd1443e794a8bedc7ef99652033d9edca1ede3697c4503f3

Observation 9519a04b-f47a-4a75-b7c6-2278f98bcad0 · outbound

This paper cites S., & Wiaux, Y.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference S., & Wiaux, Y

Reference 11

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verified exact
doi, observed 2026-08-09T20:14:52.467467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T20:14:52.174437Z digest=sha256:a40d380767496ed815f15595edd33f1ac09a4c7c79bb317f0e65de22baa9fc76

Observation 1e1afe08-c6ee-4acc-a445-74a486398025 · outbound

This paper cites E., Hall, P.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference E., Hall, P

Reference 12

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verified exact
arxiv_id_nonexistent, observed 2026-08-09T20:14:52.841579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 6b926bb5-b675-4cfb-a473-1ee00b7063b4 · outbound

This paper cites Bayesian Imaging for Radio Interferometry with Score-Based Priors.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Bayesian Imaging for Radio Interferometry with Score-Based Priors

Reference 13

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Unavailable: canonical work link unavailable.

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Observation d6fa0a48-97e4-4ce8-98f5-977303e2acc1 · outbound

This paper cites Visualizing the Kinematics of Planet Formation.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Visualizing the Kinematics of Planet Formation

Reference 14

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metadata mismatch
local_arxiv, observed 2026-08-09T20:14:52.445439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T20:14:52.185546Z digest=sha256:51fb0a796cbc1b2065a8fcb7388e442f7b19d9e020b142ad8fcda7296897a95f

Observation 17b5f9d7-8031-4042-b8a7-ebd7e91021f4 · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.189483Z digest=sha256:d367369bc8cfeae2bcd10cff207b680ddf79a852e5f15db2c709916f9ec27d0a

Observation a15fa8a0-4213-4f51-bdb3-e7d4642b19cf · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.193095Z digest=sha256:119149b30be969f3fe5f993481fe2944a361c555a3154a72ec95fa6894b77084

Observation ae63ff6a-e4bb-4acc-a087-0cab8ac754d0 · outbound

This paper cites W., Lang, D., & Goodman, J.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference W., Lang, D., & Goodman, J

Reference 17

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no resolver link, observed 2026-08-09T20:14:52.196673Z

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Observation 3be40183-656e-473f-ad25-387af6303268 · outbound

This paper cites V., Huang, J., Andrews, S.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference V., Huang, J., Andrews, S

Reference 18

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no resolver link, observed 2026-08-09T20:14:52.200038Z

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source=arxiv_source observed=2026-08-09T20:14:52.200038Z digest=sha256:90bf0788cf71e15d3aa870a2c9425ea01d269e7248bcd7736e04bc079c08caaf

Observation c83d989b-c0aa-4695-85d3-94da8ae7f47e · outbound

This paper cites P., Bregman, J.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference P., Bregman, J

Reference 19

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verified fuzzy
raw_fallback, observed 2026-08-09T20:14:52.898434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ecdad884-47a9-43c3-8939-4132aebd3cdf · outbound

This paper cites R., Millman, K.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference R., Millman, K

Reference 20

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no resolver link, observed 2026-08-09T20:14:52.207477Z

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Unavailable: canonical work link unavailable.

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Observation 463a2cb0-cae8-4629-82fd-ea8678d8b516 · outbound

This paper cites D., Gelman, A., & others.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference D., Gelman, A., & others

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation c3e89013-e157-42bd-9a04-454975260cbc · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e32ab98c-93a9-43d8-9b38-e11c168eb187 · outbound

This paper cites M., Pérez, L.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference M., Pérez, L

Reference 23

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source=arxiv_source observed=2026-08-09T20:14:52.217911Z digest=sha256:4e0fc58f10a9ef7e0f4c6effd9a7c2e33ca658d689aaf6e7cc4da9c711e65dea

Observation c2b9a9af-8d4c-4bce-be7b-87271805ba62 · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 24

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no resolver link, observed 2026-08-09T20:14:52.221366Z

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source=arxiv_source observed=2026-08-09T20:14:52.221366Z digest=sha256:3cb9b2c0c8f850511965e53f7d5a7ee1ee7fd864d26f73cbf5dc5ad87910f48d

Observation ecdad16c-6654-42b9-b42f-c1d170f5f057 · outbound

This paper cites R., Indebetouw, R., Brogan, C.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference R., Indebetouw, R., Brogan, C

Reference 25

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no resolver link, observed 2026-08-09T20:14:52.224929Z

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source=arxiv_source observed=2026-08-09T20:14:52.224929Z digest=sha256:73cb7567a1d2a8a2847cd29d5da932f4885a5c2f10151eaff86d592b24196beb

Observation f1f46539-6d05-44ee-a347-4ce947083a79 · outbound

This paper cites A., Tazzari, M., Rosotti, G.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference A., Tazzari, M., Rosotti, G

Reference 26

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no resolver link, observed 2026-08-09T20:14:52.228325Z

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source=arxiv_source observed=2026-08-09T20:14:52.228325Z digest=sha256:cfcfbf551b7c8122d3c2a58b8abba976526166fc1b040fc4b5ec079b7d8cc71a

Observation 5f8e3487-8b83-456b-ab36-8e08477e6d21 · outbound

This paper cites R., Selig, M., & Enßlin, T.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference R., Selig, M., & Enßlin, T

Reference 27

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unresolved
no resolver link, observed 2026-08-09T20:14:52.232264Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.232264Z digest=sha256:cbb5013b927fa84c4095cac143febe9e5dfe08cc30d8adbab04b30ae7e002b53

Observation 6423a94d-094d-44e2-a41a-64838f704272 · outbound

This paper cites Decoupled Weight Decay Regularization.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Decoupled Weight Decay Regularization

Reference 28

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no resolver link, observed 2026-08-09T20:14:52.237760Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-09T20:14:52.237760Z digest=sha256:8a55d57a783b91c39b914fe22c4e9668aa2eece3f6c65a9c6500bcf36dcb6cb8

Observation dbb9fc46-c082-4906-b270-c35a665c61fa · outbound

This paper cites P., Waters, B., Schiebel, D., Young, W., & Golap, K.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference P., Waters, B., Schiebel, D., Young, W., & Golap, K

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-09T20:14:52.864922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 46be8040-fee4-4bc7-bf51-78953329fc22 · outbound

This paper cites J., Stern, R., Murrell, T., & Knoll, F.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference J., Stern, R., Murrell, T., & Knoll, F

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-09T20:14:52.853726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T20:14:52.245299Z digest=sha256:162c347aa6e4a43d28daa751c5a75d154dc3e1b2854e9f3205f902a795ef5281

Observation f12ef18d-e167-47a2-bb1a-d3479e7f2e72 · outbound

This paper cites MCMC using Hamiltonian dynamics.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference MCMC using Hamiltonian dynamics

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.248838Z digest=sha256:0682aa31076c95e54a102a62fa8c523cd2a8568888bf29fd6d038d5df70940db

Observation 0055b2ec-9979-4917-83e7-3178313ab7be · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.252878Z digest=sha256:e3cafe0b09a1ee4a1b03e0c6dcefec7b7865adf76e8b6e9891cd5a554ea0d2d7

Observation 0d6f54ba-7aa4-454c-b74e-2426008e72fd · outbound

This paper cites J., Ménard, F., Duchêne, G., Dent, W.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference J., Ménard, F., Duchêne, G., Dent, W

Reference 33

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source=arxiv_source observed=2026-08-09T20:14:52.257172Z digest=sha256:4a8a8fccb6a09e1046986567bd6c9b1a4c0520b5c83cd2184ee1f59c68b2df48

Observation d3de4987-963a-4db7-a50e-89ba9028180e · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.261053Z digest=sha256:f31f8f297c88de807490670f40172be3be5a7306a4c4b373813f13e5af5c04fa

Observation 19a1f0a8-31d9-4178-a996-093ab62db026 · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-09T20:14:52.265490Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:14:52.265490Z digest=sha256:eb87a9b5d55912467da6e8f4cb6a637f88aef125af5759c543a37ff9f9c8273d

Observation 2e958635-e32f-4ee8-b9b4-0b644307fba1 · outbound

This paper cites R., Moran, J.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference R., Moran, J

Reference 36

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Unavailable: canonical work link unavailable.

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Observation 66f61078-1939-451b-a0ea-42ded75db171 · outbound

This paper cites A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference A Conditional Denoising Diffusion Probabilistic Model for Radio Interferometric Image Reconstruction

Reference 37

Resolution
unresolved
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Unavailable: canonical work link unavailable.

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Observation 194ea8c6-ae7b-4001-bbfb-828c3e59079c · outbound

This paper cites an unresolved cited work.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference Unresolved cited work

Reference 38

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-09T20:14:52.677060Z

Source-reported events for the cited work

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Observation 08c18612-c6c8-46b6-9e0a-c72f6612af63 · outbound

This paper cites A., Quinn, T., Grzybowski, H., Frazier, R.

Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference A., Quinn, T., Grzybowski, H., Frazier, R

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-09T20:14:52.280525Z

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Pith citing papers

Observation 94a0554f-2803-4b6a-8330-48c5d54f4319 · inbound

exoALMA IX: Regularized Maximum Likelihood Imaging of Non-Keplerian Features cites this paper.

exoALMA IX: Regularized Maximum Likelihood Imaging of Non-Keplerian Features Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference

Reference 23

Resolution
unresolved
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Observation bde690ce-9092-4de9-8144-d6fd470d5d6c · inbound

AMIGO: a Data-Driven Calibration of the JWST Interferometer cites this paper.

AMIGO: a Data-Driven Calibration of the JWST Interferometer Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:26:03.316075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation aba41f27-97d0-44cc-aeac-dec2461c6457 · inbound

Image reconstruction with the JWST Interferometer cites this paper.

Image reconstruction with the JWST Interferometer Million Points of Light (MPoL): a PyTorch library for radio interferometric imaging and inference

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:21:06.862861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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