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Paper Citation Record · LEDGER

Submodularity of the expected information gain in infinite-dimensional linear inverse problems

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2602.09285.

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

pith.paper-citation-record.v1
2602.09285 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T03:08:31.355769Z

measured 32 of 32 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T00:41:27.491878Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

30 of 30 outbound references displayed

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  • malformed identifier0
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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation fe93478a-6d9c-469b-9089-a68aa05578f3 · outbound

This paper cites Alexanderian, Optimal experimental design for infinite-dimensional Bayesian inverse prob- lems governed by PDEs: A review,Inverse Problems,37(2021), 043001.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Alexanderian, Optimal experimental design for infinite-dimensional Bayesian inverse prob- lems governed by PDEs: A review,Inverse Problems,37(2021), 043001

Reference 1

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source=pdf_text observed=2026-08-03T03:08:27.269016Z digest=sha256:d6fd228307419c14ea357f7e18533aa423100e36bc3a833308d5b3c1febacc69

Observation a992c178-4cb0-46be-9d9c-10c8f2f6c1e4 · outbound

This paper cites Alexanderian, H.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Alexanderian, H

Reference 2

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source=pdf_text observed=2026-08-03T03:08:27.336047Z digest=sha256:179f21866768ea1c43f8feb934eba13ea4f8e7241945e404267a094b9c577b6c

Observation 07ba2d72-e3fd-4a7d-9bb5-31acfa8fcdae · outbound

This paper cites Alexanderian, P.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Alexanderian, P

Reference 3

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source=pdf_text observed=2026-08-03T03:08:27.488020Z digest=sha256:7752cd3f16d4a20526f7b2077b75ce6c009b130e9e968e7958c09c597afa54ef

Observation 0c161363-3687-4dba-91ee-5896f2ca0ac0 · outbound

This paper cites Alexanderian, N.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Alexanderian, N

Reference 4

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source=pdf_text observed=2026-08-03T03:08:27.554250Z digest=sha256:1722745f19306c7832c970482644e7b2fdf819434a3b58adf1bbab599d98cf17

Observation cdb8654a-10f5-4edd-9436-71c832d4e644 · outbound

This paper cites Alexanderian, N.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Alexanderian, N

Reference 5

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source=pdf_text observed=2026-08-03T03:08:27.642647Z digest=sha256:29d7cf55ead20417879cd3abd87ec0c1ef4de027753924690269eb11ab4fb925

Observation 1d1b76b1-0758-4e4a-8e99-56948ae16f20 · outbound

This paper cites Alexanderian and A.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Alexanderian and A

Reference 6

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source=pdf_text observed=2026-08-03T03:08:27.887972Z digest=sha256:5de99425b29a4b7792214823b7e1b3b06305a3e266dd534d5bb876751e1b63eb

Observation e7660fb8-20b9-49cc-b06d-c959757e3a36 · outbound

This paper cites Asch,A toolbox for digital twins: from model-based to data-driven, SIAM, 2022.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Asch,A toolbox for digital twins: from model-based to data-driven, SIAM, 2022

Reference 7

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source=pdf_text observed=2026-08-03T03:08:28.001374Z digest=sha256:d42bb80e33cafff04837f4885547aae30fc42296f6eac7dd55351d34cabb77f0

Observation 430b3458-2e2a-485c-a41e-dc33d4fa5949 · outbound

This paper cites an unresolved cited work.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-03T03:08:28.082264Z digest=sha256:addb3e4c5d3d94f6e527411a3b8c119b36ec8d12a6aa872a1e8abe12e84b0423

Observation ef39f7ed-cc8c-4e42-ba42-cbcc1284f6fd · outbound

This paper cites Boyd and N.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Boyd and N

Reference 9

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source=pdf_text observed=2026-08-03T03:08:28.191033Z digest=sha256:015ffa2e6a0d80f20c3e8bb4f02edb8a58b2e154e038196fe6850b94be79a49f

Observation 9230904f-dff7-4f9e-b454-7bc075974a85 · outbound

This paper cites Chaloner and I.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Chaloner and I

Reference 10

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source=pdf_text observed=2026-08-03T03:08:28.287769Z digest=sha256:c4e4b008b6f6b5707c944666ef8263f0536e25cf5ba52b8d2bffa76c0d4ec1ea

Observation b23a2d64-2ba0-48df-be2c-fda2335379b9 · outbound

This paper cites Dashti, K.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Dashti, K

Reference 11

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source=pdf_text observed=2026-08-03T03:08:28.428693Z digest=sha256:693a77e9e1fd9356689c18402f7d5b49e2395cd7b43ea765c0c6dd1ed1cfa238

Observation d361b171-0161-491a-bb70-6673c02cfe29 · outbound

This paper cites an unresolved cited work.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-03T03:08:28.652182Z digest=sha256:40fc72b709754d231bfddfac8fa815ebd37ccbb37937228f164c623995151a68

Observation 7a5d9ef5-9023-4e72-b510-7dd96cbb4d51 · outbound

This paper cites Bayesian D-Optimal Experimental Designs via Column Subset Selection.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Bayesian D-Optimal Experimental Designs via Column Subset Selection

Reference 13

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source=pdf_text observed=2026-08-03T03:08:28.763664Z digest=sha256:e5db86c17d94f0171558861995a1c5f6e090391e065321920e93b58afa5aca2d

Observation 5a2afbc1-17d8-4bbc-baf7-51c563eb967e · outbound

This paper cites an unresolved cited work.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-03T03:08:28.960578Z digest=sha256:a62162e2b5d77bf3b36be04d0cf5439016c311a13a8103318d7234b5033bd570

Observation cae9d43b-c9fd-4e04-81cf-c3949a478a08 · outbound

This paper cites Krause and D.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Krause and D

Reference 15

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source=pdf_text observed=2026-08-03T03:08:29.065417Z digest=sha256:a69a561e78561e618110ce8a85c29e3ddf28308f883e9f74f432ff72965789e6

Observation 08bd2f83-05ed-4fb8-9323-c759375be1cb · outbound

This paper cites Krause, A.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Krause, A

Reference 16

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source=pdf_text observed=2026-08-03T03:08:29.245132Z digest=sha256:abbd94e49ef551dc7f5092a49475a13bf537506f5e68d08acbb6b6bfa85401c9

Observation abc33742-db32-4152-b9b5-f850cab17ad5 · outbound

This paper cites Kullback and R.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Kullback and R

Reference 17

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source=pdf_text observed=2026-08-03T03:08:29.398573Z digest=sha256:9f99398a1e04686af62cecc1bcb9f72d3a2875b0178804fc54e6a461fe9cac0f

Observation 90f1a0f9-2ac2-4e4b-b1b7-7ffc7041d22f · outbound

This paper cites Leskovec, A.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Leskovec, A

Reference 18

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source=pdf_text observed=2026-08-03T03:08:29.546350Z digest=sha256:5e16dede7cd7c3a85da9c4bb36eb925c24410c19834f3e7a0742924a1a19d276

Observation 53a68cf7-e3c9-4e59-90a9-cabfacdf04f0 · outbound

This paper cites an unresolved cited work.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Unresolved cited work

Reference 19

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source=pdf_text observed=2026-08-03T03:08:29.701562Z digest=sha256:3b93d73a87ac58ab8c3b109bb029c35377dee9e8b3aee926a821222194243b3d

Observation 8d3aeb43-8d2a-48f9-951f-90ad56323a4b · outbound

This paper cites Manning and H.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Manning and H

Reference 20

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source=pdf_text observed=2026-08-03T03:08:29.828343Z digest=sha256:8ece4eaa2ec8e8c18b82c6df23c8a87e1bd3e33c6f39d02b3591759a853431ac

Observation b11eae6a-8a1a-4ad6-bb55-d8fe30d280a1 · outbound

This paper cites Minoux, Accelerated greedy algorithms for maximizing submodular set functions, inOp- timization Techniques(ed.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Minoux, Accelerated greedy algorithms for maximizing submodular set functions, inOp- timization Techniques(ed

Reference 21

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source=pdf_text observed=2026-08-03T03:08:29.935256Z digest=sha256:21a5c321e896fd2161f799e2ddc785a1e8cb2c2d229ba6779fc99e902978cc6d

Observation a9abc502-b895-4ede-923d-5601b4e36be1 · outbound

This paper cites Mirzasoleiman, A.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Mirzasoleiman, A

Reference 22

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source=pdf_text observed=2026-08-03T03:08:30.079418Z digest=sha256:36867fef8e42bbe73ff6ec12871d8cbcb5fa2c41bf683039a1acfaf239bf9cbe

Observation f542f8b3-6d21-4d81-b723-84342b2cc705 · outbound

This paper cites an unresolved cited work.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-03T03:08:30.262108Z digest=sha256:dd2be6417cd75a0e1735b70939c3fd7445164eab4d72efb20e70099cf701061b

Observation fc69e5f0-26ee-49a0-bb48-9a5a5c366d62 · outbound

This paper cites Reed and B.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Reed and B

Reference 24

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source=pdf_text observed=2026-08-03T03:08:30.449683Z digest=sha256:739a1b29472be2d9c13087eed387028c033e5af3dd58a573fa7c3bee27f9be90

Observation 3bd9a1ae-e261-408e-a9b4-a302c9441c40 · outbound

This paper cites Schrijver,Combinatorial optimization: polyhedra and efficiency, no.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Schrijver,Combinatorial optimization: polyhedra and efficiency, no

Reference 25

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source=pdf_text observed=2026-08-03T03:08:30.614006Z digest=sha256:4be8af412b59173c6b695042b34213ab297ff2cfef327d35b25a47b20663e75d

Observation 96f48bb5-d4ae-47ce-9dfa-39d1bd74337d · outbound

This paper cites Shamaiah, S.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Shamaiah, S

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:08:30.744091Z digest=sha256:67f7e28c2ec5f672686781c181e242be74f08a28995cf9e6a0bf8c9ce830b828

Observation ec49e688-62c3-4732-b3ed-d366bf6c955c · outbound

This paper cites Simon, Notes on infinite determinants of hilbert space operators,Advances in Mathematics, 24(1977), 244–273.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Simon, Notes on infinite determinants of hilbert space operators,Advances in Mathematics, 24(1977), 244–273

Reference 27

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source=pdf_text observed=2026-08-03T03:08:30.903340Z digest=sha256:e979f85d8d717eff5d71eb2904c94c2141457ae24d11912cdc80113a844ccd7c

Observation f5e73472-9ed6-4909-b06a-300969e6083b · outbound

This paper cites Simon,Trace Ideals and Their Applications, vol.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Simon,Trace Ideals and Their Applications, vol

Reference 28

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source=pdf_text observed=2026-08-03T03:08:31.092183Z digest=sha256:b9c068f640bb783376577553f7809bfa3c634a0bbb1b70be39d98a1d7ac89641

Observation d8e41acb-9a4c-485b-b4af-122450542f47 · outbound

This paper cites an unresolved cited work.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-03T03:08:31.214482Z digest=sha256:025384fa5fde8ca52877b9cd7b2350e874f152a52d0eed8cddf992573c493f4c

Observation e859e1f4-f468-416a-a64b-9a6eff32ca6c · outbound

This paper cites Uci´ nski,Optimal measurement methods for distributed parameter system identification, Systems and Control Series, CRC Press, Boca Raton, FL, 2005.

Submodularity of the expected information gain in infinite-dimensional linear inverse problems Uci´ nski,Optimal measurement methods for distributed parameter system identification, Systems and Control Series, CRC Press, Boca Raton, FL, 2005

Reference 30

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:08:31.355769Z digest=sha256:3f259662639849d6a3ceb45444f0174cd822291ca6fe17c3a615e225f8f66e9e

Pith citing papers

Observation 4b83e939-4bd0-47cc-91a1-7b4681c0ba06 · inbound

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design cites this paper.

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design Submodularity of the expected information gain in infinite-dimensional linear inverse problems

Reference 52

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arxiv_id, observed 2026-06-26T01:15:17.379393Z

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=2026-05-10T16:43:07.316694Z digest=sha256:5f369fef371f5efaa33ed9399b84cb0097a6e2168a82abe8b243055e53a894c2

Observation 51f422dc-0509-4c86-9a08-887f0faac3c3 · inbound

Multi-type Sensor Placement for PDE-based Bayesian Inverse Problems cites this paper.

Multi-type Sensor Placement for PDE-based Bayesian Inverse Problems Submodularity of the expected information gain in infinite-dimensional linear inverse problems

Reference 5

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verified exact
local_arxiv, observed 2026-07-10T00:46:40.336297Z

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=2026-07-10T00:41:27.491878Z digest=sha256:55a6ffd8349a6e398e834103d21faa784577bfaa8e97788f50cf5b4fa88d9453