Pith. sign in

Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.490493Z digest=sha256:41217228ef01d1d21252f890459669e4d59fcdfed508ce4450b33d14792b7e28

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.555599Z digest=sha256:6fa1b8f47904626dec7f245a35bc23c537e1cd70516a4c10f898b9a5f68db129

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.618676Z digest=sha256:d88c30ef3fcd61678258b9eb0782f2b236fb6e08fe5c916af3fc25a0979c42ea

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.698198Z digest=sha256:23d3ca7160f64cda3d3ab3d7933355f3064c6b90144fa1274e5fd305ae59d1c2

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.767135Z digest=sha256:1484f9d1faadf4b45c1cbe839dae0cde6d29e48dd7483ba4abe03f9306b9c074

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.827401Z digest=sha256:ed8ff4730b0a616d4cffb70ec0419ba1d85f70329548e4efb81e092d370b928d

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.908379Z digest=sha256:13314b9dd4fe007d53e1ede2d1d8bcb731339ed2de796112540790a3f145eb37

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:41.968759Z digest=sha256:ed1a079eb431db45c295415a390510298a0e121ea43bb68edb0aebf520c78da6

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.055313Z digest=sha256:238d7d62781f275e0ce8272efe3298e153154994285ab38a1c675ef0518ffb58

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.104935Z digest=sha256:771310117c04a305d2279d99d5cba62e1733227c79347fa11a1746c5e17d4b43

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.159204Z digest=sha256:ad892986da88429380379e01eae218270990e5f8443483d48a667535c06bb21e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.212666Z digest=sha256:fe96046dbeac92c81a232177e89139eb59e8a7941eb18790a5199b7ad4631311

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.282946Z digest=sha256:7d0825b87f0c6f55d50f5a9ca87dfd95c997c235f753d8688163e279420065d9

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.345555Z digest=sha256:6fa6337189778f5db465bc45dcb208e6f611201a2a35609e8d076211c807cfb4

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.398660Z digest=sha256:05bacd936b7b021c0a278f3dd07750b3ff0020f71a8bb94d9e5cee8e725ebce9

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=sha256:40b801dd48b5fba4420b19af49d22eaac5b7a9e548e72a12038d3545c6b41c1d

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.536118Z digest=sha256:05fb513e71020e854471eff6c199b91e02c8db665fa10ac98d3fb2f1fce4e8c3

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.598984Z digest=sha256:94061e0a6225dd8276cd237b088441201230c07a60a0e3aa234c0c104c1e9ca6

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.640530Z digest=sha256:c0a556a42f2e83743e0593ff486c6bbc25015b00d58f577fccab8570c827a47f

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.700684Z digest=sha256:f661ddd4a1ed6687c2c7b0c61e072797014316b0670ce8b6e5dd79aad33dd244

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.759960Z digest=sha256:03d791df8cc3b7b05b24f039ddbc655f58f3a7ff15a3bd5ab84fa397f030eb6f

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.820169Z digest=sha256:a685548245c1ac8e28ed7c7d01143fd2de357be7348c62a961af2eda4ceb6467

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.875647Z digest=sha256:3617b7ea195b254f2fee939483ffbeba3baf98a916577b06cadf3594243e104e

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.934481Z digest=sha256:222aff140285e519a9ac0d27ec401361f2d48cdfc88b379201d2fc9641606575

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:42.997279Z digest=sha256:ba7a3ba99468291a068390d2bb676aee41417842211198c9e5e638fdc77ab254

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.053594Z digest=sha256:81705ac8ae4173df26acddeb85828fce7c987b9c92d362aff0faf5b8c2dbd0b5

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.116097Z digest=sha256:f51dc9babebdc818d06f19874722c9a53789594bc1393e820cda8f63d57f4a19

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.176616Z digest=sha256:3289390d9f7d7978859f5abe91ebea73ac2262115dc20ead8e98a91984276de9

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.236155Z digest=sha256:e9ea8c419a947cd1ab025766623f8c9bad34a87eb7681d73b5f19834f526209b

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.283236Z digest=sha256:449558d4c25ba5e936734e4a725cc4d40fcb97141211b7b1f40514499841df1c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.286342Z digest=sha256:5eaf1b5e799b9d313c2b0a609f2014d081562c899bd0c0821c94a73a89162b89

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.306619Z digest=sha256:005278b79b2873d3bd345a2c6930654a7ea6d1c64a29f0a16222c5654b860254

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.426920Z digest=sha256:0151f0b044119f090958082dc6fb9355f22ab97755a44702515268195a415051

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.514695Z digest=sha256:196ae8a611859455cac324d8f43121738d2eabeabdd801208bd19d56a2b3b23c

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-04T21:35:43.577236Z digest=sha256:f2abd08db9f76c5c24d091066bf80de6ccb377528ad86acc64ceff86532536fa

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-12T02:25:28.186490Z digest=sha256:5455e239c57c3f52b9244cc31da5b53612a90b7897898801415927f24d909e90