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Paper Citation Record · LEDGER

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries

As of 20 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2604.02520.

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

pith.paper-citation-record.v1
2604.02520 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:36:03.645184Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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  • verified fuzzy27
  • unresolved19
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d77a666e-a80b-4014-bb5d-b47da3e91319 · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 1

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Observation fd8b6ffa-ad44-47eb-b050-26203033d745 · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 2

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This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 3

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 4

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This paper cites Andersson, M.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Andersson, M

Reference 5

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This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 6

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This paper cites Guittet, P.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Guittet, P

Reference 7

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This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 8

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Observation 47a43acf-0938-4c1e-8c8c-278ad502fef0 · outbound

This paper cites Zhang, Y.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Zhang, Y

Reference 9

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This paper cites Hassanaly, P.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Hassanaly, P

Reference 10

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This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 11

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Observation d4e9e3e8-56d6-4c35-86e2-9a6ab990ef78 · outbound

This paper cites Santhanagopalan, Q.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Santhanagopalan, Q

Reference 12

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Observation 4ad80984-98ce-45d0-9027-74ff86d5a971 · outbound

This paper cites Doyle, T.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Doyle, T

Reference 13

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This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 14

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Observation 0be6dba3-7901-40d3-afb5-b66853042760 · outbound

This paper cites Ramadesigan, K.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Ramadesigan, K

Reference 15

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Source-reported events for the cited work

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Observation 5706183c-9d96-43eb-9a34-013fbbc92b13 · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation a030ab4d-fd6e-4a33-9576-f13af2febdc1 · outbound

This paper cites Hassanaly, P.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Hassanaly, P

Reference 17

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 18

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Observation 0126e23c-efa0-41cb-a0a6-2744c6780720 · outbound

This paper cites Ko, C.-W.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Ko, C.-W

Reference 19

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Observation e1fe46bb-3e33-4818-99aa-2d9001d54bf2 · outbound

This paper cites Lenzi, J.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Lenzi, J

Reference 20

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Observation 64e43111-7662-4900-9fd6-8ff6f39ca4b0 · outbound

This paper cites Brendel, I.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Brendel, I

Reference 21

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 22

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 23

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 24

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Observation 2c6e2bda-77b4-4c93-99e7-eff2d155a767 · outbound

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 25

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Observation 787d85cf-ad86-41c3-b4ca-189b3e210fe5 · outbound

This paper cites Aitio, S.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Aitio, S

Reference 26

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This paper cites Bills, L.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Bills, L

Reference 27

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Cranmer, J

Reference 28

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This paper cites Simulation-Based Inference: A Practical Guide.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Simulation-Based Inference: A Practical Guide

Reference 29

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Observation 803fa834-bd3b-483a-aa74-5c3937f6c821 · outbound

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 30

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This paper cites Nemeth, P.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Nemeth, P

Reference 31

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Observation 51d73399-0149-479a-9e75-ea15364d0ce8 · outbound

This paper cites Kullback, R.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Kullback, R

Reference 32

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Source-reported events for the cited work

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Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 33

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This paper cites Papamakarios, I.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Papamakarios, I

Reference 34

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Source-reported events for the cited work

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This paper cites Braman, T.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Braman, T

Reference 35

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Source-reported events for the cited work

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Observation 3a67cec9-93b5-4b1e-87ba-938ea3ca5d99 · outbound

This paper cites Hassanaly, J.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Hassanaly, J

Reference 36

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Source-reported events for the cited work

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Observation bf327ecd-74ee-4e91-80d7-d0568f43ab63 · outbound

This paper cites Wildberger, M.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Wildberger, M

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cc7a0ff9-d35f-4ffa-b9ac-9de75cd468f7 · outbound

This paper cites Hassanaly, A.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Hassanaly, A

Reference 38

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f82e6e29-4c88-4e31-96bd-7cd07eb1e28c · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 39

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 765cb7f8-fc77-4c0e-a320-778eb23787e8 · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 40

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 0a14c3af-fc32-44c2-9a2c-d2f46d5b4ae6 · outbound

This paper cites Villalobos, J.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Villalobos, J

Reference 41

Resolution
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Source-reported events for the cited work

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Observation c9e92eee-d7c1-4689-ab91-34fbcf1cceb1 · outbound

This paper cites Papamakarios, E.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Papamakarios, E

Reference 42

Resolution
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Source-reported events for the cited work

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Observation 7d0ebcdc-b02e-40fa-84c7-95ca10995758 · outbound

This paper cites Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Reference 43

Resolution
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 809cebf9-fea1-490d-932f-37ddf920b029 · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 44

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b6ce8403-1677-48fe-87a8-b3ff1f942c59 · outbound

This paper cites Flamary, N.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Flamary, N

Reference 45

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 86521a3b-2967-4e90-a554-64955413120a · outbound

This paper cites Bonneel, M.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Bonneel, M

Reference 46

Resolution
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Source-reported events for the cited work

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Observation c434eb9f-f72b-478a-b377-130ef6b01e0c · outbound

This paper cites Perr-Sauer, J.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Perr-Sauer, J

Reference 47

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 76c08d7a-272c-45a8-99c4-d4900d8e5601 · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 48

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2f5c9a01-3d6a-4249-a48e-04f648f08382 · outbound

This paper cites Shrikumar, P.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Shrikumar, P

Reference 49

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3a031872-a94e-4b60-960a-88feb42be56c · outbound

This paper cites Griesemer, D.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Griesemer, D

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e5d00311-9f08-4e96-98cf-e5e98a80c889 · outbound

This paper cites Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Multidimensional Distributional Neural Network Output Demonstrated in Super-Resolution of Surface Wind Speed

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:38:14.619745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 1f2945b3-444a-44d9-bc44-12e5d9e77f18 · outbound

This paper cites Flow Matching for Generative Modeling.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Flow Matching for Generative Modeling

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-13T20:38:14.612809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5c76c55e-000b-4b56-9b52-41f6ba273740 · outbound

This paper cites Python Battery Mathematical Modelling (PyBaMM).

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Python Battery Mathematical Modelling (PyBaMM)

Reference 53

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5ad161c6-a0d8-4c33-bdd7-f841ac34b46b · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 54

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7bd1e847-c95c-448e-91d2-c93535cb399e · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 55

Resolution
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raw_fallback, observed 2026-05-14T01:23:38.253128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f9c75e8d-de5a-409a-acbb-7c6cf701fd7c · outbound

This paper cites an unresolved cited work.

Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries Unresolved cited work

Reference 56

Resolution
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raw_fallback, observed 2026-05-14T01:23:38.211625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.