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Paper Citation Record · LEDGER

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems

As of 9 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2509.07952.

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

pith.paper-citation-record.v1
2509.07952 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:35:43.577236Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:25:28.186490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:37:16.157801Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact2
  • verified fuzzy11
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dc0a3ec3-b96a-4020-971f-f9687577919e · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:51.911171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.490493Z digest=sha256:bccfbef771ccf20d8025b91cc4b79ebf6a9131da04e26426ae2f56a721f17a2d

Observation b6bef386-18b2-4387-825d-fa267c19b8af · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:51.763096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.555599Z digest=sha256:22e1192eefe9b9ddd1455cd0b1b2e48f046163652501adc68bcd81e0604418a3

Observation ec3ec797-0304-4dd7-9a52-5038b6752fad · outbound

This paper cites and Nickl, R.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Nickl, R

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:51.511870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.618676Z digest=sha256:1569aa0328061755ac5601864d5657388c304b6e453586c726e2392b041c8929

Observation 017d310e-e8cb-4a61-9ff9-4516ff24292c · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:51.294274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.698198Z digest=sha256:e5ce2dd1f94e2e686597cfb65c790de07042552b10410843167c3a058f888c7a

Observation 47920c26-83ef-4e69-b6dc-8a6ef63302eb · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:51.034515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.767135Z digest=sha256:bc84db0f9e1892f2819cc5127667a39ed5dbf066fa00f3641ac7e84123474a12

Observation 3d7fd679-f453-4d1c-b911-87c813f5a77e · outbound

This paper cites and Stuart, A.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Stuart, A

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:50.832653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.827401Z digest=sha256:2595db0ecb5844ecd54dfaf7a58bf9e53c32c44795e6f8c83f007ac5d4922ef8

Observation e8ec4bb8-1454-43af-8bdc-cff61e222a49 · outbound

This paper cites A deterministic and computable Bernstein-von Mises theorem.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems A deterministic and computable Bernstein-von Mises theorem

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:35:44.597328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.908379Z digest=sha256:34706533de4a6418c6277a96883acf3b66d4021602f548e8bc0942df1e3d6647

Observation c73d5b6f-32a7-492a-82cb-680855dacfab · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:50.514962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.968759Z digest=sha256:3c314e016586e1609a9da37c108b4d0e9d5ac2f3cdab708048bf570488254d7a

Observation 757f38ab-82d2-4cca-b2f6-492b3fed0b7b · outbound

This paper cites Normal approximation for the posterior in exponential families.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Normal approximation for the posterior in exponential families

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:35:44.362375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.055313Z digest=sha256:6b1863923545a7afa5f221f72d3cc0cb0ab21259e2ae49816102fddb26c75f78

Observation 557b4011-06f7-43e8-85a2-58a8074e9bfa · outbound

This paper cites and Willcox, K.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Willcox, K

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:50.269910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.104935Z digest=sha256:d64575fa3db2de002f9c8a59899f7d543b0b351f89c36e8fb686ec91f34f6b62

Observation f2f8bc06-fb55-4518-a308-e42a845f1793 · outbound

This paper cites and Kretschmann, R.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Kretschmann, R

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:50.068100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.159204Z digest=sha256:1ab8fc21d504249fd0deb8b738fdc9c66a658069bea0a0322b2eac0441b19afa

Observation 0c8b7e59-609b-45f4-993b-d50f9e21e947 · outbound

This paper cites and Werner, F.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Werner, F

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:49.766405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.212666Z digest=sha256:bef92105931ee1d2a8d06e08ae014a89e14b5a787f420ddc5900e5df88841fe8

Observation f7ffdb66-c2cf-4571-8aca-8e8ca29007bf · outbound

This paper cites Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:35:44.172160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.282946Z digest=sha256:38dc9df99ed68536023db1dda95889bb416f5c0a33030e29fd3caabbe67d3393

Observation ee7c73d3-5031-4e7e-8bda-e8e41c7231c3 · outbound

This paper cites and Somersalo, E.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Somersalo, E

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:49.564000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.345555Z digest=sha256:f8bf06ac2d6a6639e203a4f8bd08c7dc843c6da37fd6236309a253c8588d39a3

Observation 5ae6c348-68f9-4679-ae64-e69408d9ad43 · outbound

This paper cites J., Giordano, R., and Broderick, T.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems J., Giordano, R., and Broderick, T

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:49.236712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.398660Z digest=sha256:5d70c8d429fe47087a7f120019fb9835ad221689877b01694d92093021a14f40

Observation a261d91c-6c73-4d55-b08a-24314978afe9 · outbound

This paper cites The Laplace approximation accuracy in high dimensions: a refined analysis and new skew adjustment.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems The Laplace approximation accuracy in high dimensions: a refined analysis and new skew adjustment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T21:35:42.468973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T21:35:42.468973Z digest=sha256:009c5bae1438eb4c4d11ac7515472ff9fcc0f15aaf5fd5eb5cbfd26a6700ab84

Observation 37adfbd6-f0fd-46b7-83bb-4861cead7ebd · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:48.993200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.536118Z digest=sha256:dafb4c842c4599e65de765b80a021f5ef3f767d5578c9e4d87e1412fbfe768aa

Observation db991090-9374-457c-9aef-4bff2624911b · outbound

This paper cites and Salomond, J.-B.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Salomond, J.-B

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:48.792025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.598984Z digest=sha256:5f6a67240265d5a58cfdcea305197ac76fbf6deeb300a5c94acbc96dc7b41f45

Observation a163ba56-d585-4662-9b7c-35dd5e2490fd · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:48.598972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.640530Z digest=sha256:e07cffc8751ed1ecf1944756f69c2c021d0bc6b7cf8dc0d0aa8aed9bfaf2922b

Observation 075209ab-a170-45f7-bab8-9f46a3464899 · outbound

This paper cites and Massart, P.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Massart, P

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:48.342109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.700684Z digest=sha256:973e4131aaccdf2bd944b4b06fe0e194c705ecabb61c56f48b2a0f413d8618fe

Observation 60ae3e1d-1bc6-4fe3-bf1a-f2ba4b0f76c9 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:48.181720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.759960Z digest=sha256:ab667f8bc917e2f202d0006fa4d961394830e118665a0a031dde195a96c9e609

Observation cfee5e6f-9082-4d6e-b56c-1b8f6d73955b · outbound

This paper cites On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems On the Bernstein-Von Mises Theorem for High Dimensional Nonlinear Bayesian Inverse Problems

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-04T21:35:43.846502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.820169Z digest=sha256:3a99487796d49a72cb4042258b30414ed04ebd41833136d6924753b2c719d35d

Observation ef6f460b-f8ff-4907-861c-e463bff049c6 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:47.969766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.875647Z digest=sha256:0676e8bde843425fcbe9f19739bde3cd02e53ad6fd2d38cbeba5d78182df0d6c

Observation 3b2358b5-6abb-4f8e-af0d-f55f3b233325 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:47.776120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.934481Z digest=sha256:4fd5640d377c8b7e3079e95152d643c56d7fffda214512f904c13ebb0a39fa91

Observation c7c11e44-ba6c-401f-bd2b-72908485f9b7 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:47.614442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.997279Z digest=sha256:81d5db22da67afe915ba63bbca83095523439da63f29786618ad41266b435af2

Observation 9946ee7d-0cfe-452c-a600-4877931e1234 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:47.383088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.053594Z digest=sha256:11c6506e9fd683add0a6dff68e7f3f165679873e3ea5b0c713fc69b267481a33

Observation 6a23f6ab-8b0d-4f30-a25e-af9b7d6ee752 · outbound

This paper cites and Wang, S.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Wang, S

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:47.147488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.116097Z digest=sha256:5e41c522952e4f5a252d46f45bcbda4cffd8fe758ce11bae1917ca726ed208b7

Observation f181482e-cd7d-4269-bd3c-7d4536ccc43e · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:46.959459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.176616Z digest=sha256:b344aeb08fe72da1997f48c61dd219bad918b6f45096426d6ca6075e207e5a45

Observation 2a667110-0985-4a61-9a87-e2dc44d0b138 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:46.783939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.236155Z digest=sha256:02df231e74cdf12fc6693b5a4e437c8c87d15f47eff622fdebc2f44e36a8713d

Observation 2907a9c1-3eb7-4799-a6da-3591bd6dec4a · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:46.500044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.283236Z digest=sha256:205ff4425ae7f2d54acfbe9f6dbabedbd9c0bec4d21e590862d4bb3f3dfd0134

Observation 35f0c36f-278b-4817-8ceb-81091ca543a3 · outbound

This paper cites and Kadane, J.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems and Kadane, J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:35:46.281621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.286342Z digest=sha256:d840145e34c4b69615c73b2b07eed7dc5970f8cb244bab9700b83a0c951dfaeb

Observation f06cbc36-2616-4562-9517-309929ba1802 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:45.943748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.306619Z digest=sha256:bb7fb64f41d9bded3644d9d8a7603779f84add6e3c7066346a6574f22aba043c

Observation 28459d80-5f65-4df1-af0c-43ae763c46b4 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:45.644559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.426920Z digest=sha256:8f192f0d70286d94d2f742f44f5affdff7f2e07676c4bf8d965bec77b362a94d

Observation 3380d9d3-27ab-4e50-8f55-33a88707b8d7 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:45.170146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.514695Z digest=sha256:9574d6112888eae70b9d07a2ade4d843e515c299524e765fb2672a64fcd29c24

Observation 9673b78b-f63a-4fa2-90cf-07a8f98d8464 · outbound

This paper cites an unresolved cited work.

A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-04T21:35:44.834045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.577236Z digest=sha256:ba5332d851536848362d4cb54240bae9c23c60eb4c8b92512b9591e92f964c17

Pith citing papers

Observation b9db439f-f010-4bfd-b160-ea68cc4a6974 · inbound

Optimality of Sub-network Laplace Approximations: New Results and Methods cites this paper.

Optimality of Sub-network Laplace Approximations: New Results and Methods A unified theory of the high-dimensional Laplace approximation with application to Bayesian inverse problems

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:37:16.167927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:25:28.186490Z digest=sha256:a401e8037e1300b96e6344d4281238e5ea98e95c1b4eba3d91425693328d8a2d