Pith. sign in

Paper Citation Record · LEDGER

Physics-informed neural network model for quantum impurity problems based on Lehmann representation

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2411.18835.

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

pith.paper-citation-record.v1
2411.18835 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:54:51.636388Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T06:23:32.807246Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc80a048-a720-4c09-9dc4-4617c9118933 · outbound

This paper cites Georges, G.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Georges, G

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.440963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.440963Z digest=sha256:b75f7d410fbf0360dcb591e09953c14b8cfa03134273c7f4d4518aef19272ab6

Observation 16b545b6-c5cb-4449-b7fc-696af146b5e9 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.446872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.446872Z digest=sha256:efbdf94c4a0327c7d72e794255ee9da44c68ea83764263b5a72ccf8c226c1a2a

Observation d9db4677-a3b5-4bf2-b01e-addb7fa9231b · outbound

This paper cites Caffarel and W.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Caffarel and W

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.454529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.454529Z digest=sha256:9afe250ece21bd742e9bfdefbf1b0b96092044ebc2f3008859e6944cafd12d04

Observation 8c1f0661-86eb-4331-bcd6-87e29d738cc2 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.459569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.459569Z digest=sha256:7692f9ce34f0ead56a4c1f814b02abc9583dd34a5cae651acbcf846e94a26772

Observation 1be88daf-6453-4629-ba9c-61c16257adcb · outbound

This paper cites Werner, A.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Werner, A

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.464675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.464675Z digest=sha256:02050fe184b83e558bdeccc7aa8ab03772a0493c58782b1ff29db3e1a9e6a4e8

Observation a3b5d4ab-2ccb-4f4f-b94d-7b9d507844cb · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:52.079327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.469743Z digest=sha256:fbd0b817619db5e796f1c63eeb35a8e3045c5494da6fe00ad339b14f4e93c1cb

Observation 2885c41e-d4f6-4481-a66e-771e64a9d67a · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:52.062719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.474832Z digest=sha256:df9289f916b68be3a679ffbc99c8918d4d6919f783705d95bd3c18c24024239b

Observation 8a93a221-5d47-4ddd-8211-4a9fc25bc5ef · outbound

This paper cites Bauernfeind, M.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Bauernfeind, M

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.480426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.480426Z digest=sha256:bce670e471338dcba5fc6717dae195fe5860f47a572ac197a68879c9cc45bda7

Observation a94e760c-ec36-4f8d-b296-85fca24ce369 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:52.033124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.488588Z digest=sha256:9b4bfcaa571d3a9225e67b7992af941e13ab6cd48eb25ac0f3cdf63caecb63cf

Observation 1d30fc2b-afb6-4d50-99e3-ea2b2dce7ef1 · outbound

This paper cites N´ u˜ nez Fern´ andez, M.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation N´ u˜ nez Fern´ andez, M

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:52.010158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.500416Z digest=sha256:99c1c4c44e3a6653f47889c4d2f695a4f6f128488efaeda12f9e47b4bc1ccd2f

Observation ff8999e3-eb9a-4090-97dc-933ddebb600d · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:51.991495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.509745Z digest=sha256:96d025d28eab067a6d8f99afd437f2ac1b75b819861398bd9e043ed156c7640c

Observation 89e86fda-60db-4e9c-bae3-7e06c7dbd3e3 · outbound

This paper cites Sheridan, C.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Sheridan, C

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:51.976844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.514616Z digest=sha256:a8c1967f3581e681380f1bc6fcdf41fac0d9ae3196cbea6d9140599136e0b952

Observation 56840ae4-5c82-4d63-9471-26ec8b407880 · outbound

This paper cites A language-inspired machine learning approach for solving strongly correlated problems with dynamical mean-field theory.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation A language-inspired machine learning approach for solving strongly correlated problems with dynamical mean-field theory

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-12T10:54:51.784725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.519509Z digest=sha256:e59bb18ecf158db0e839a2d82bdce67930a72b0401b1750bee8a2cdccc1bae08

Observation 42c134e4-67f2-40c4-81c0-e0fc8de89ecb · outbound

This paper cites Predicting interacting Green's functions with neural networks.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Predicting interacting Green's functions with neural networks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.525906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.525906Z digest=sha256:35d281783705b11ee52f728b76f520ed2ac1e1a85e27cfb095b0a10896dc2a77

Observation 884f5d74-5487-42c2-b81a-40a863c89470 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:51.961696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.533310Z digest=sha256:77a8ba78e2aa62d8c90e82f3c0c5847531618ea09b925ca4ba765885264814f8

Observation f1edf1aa-893b-4c8c-8bc8-288d4ffa96ed · outbound

This paper cites Ren, R.-S.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Ren, R.-S

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:51.945198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.538618Z digest=sha256:42401eb93c816709efc186e2a91a0bd974669939192cd932b79afeab08da6198

Observation c5626ab6-0942-435f-befb-95b718cbe5d2 · outbound

This paper cites Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.543335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.543335Z digest=sha256:510b9db0446ecc0f17c1cc656c5840ae54c52df8038a5f5c88e7d09a19c77689

Observation cec622bb-ecdc-429e-b0a9-ba3809568a20 · outbound

This paper cites Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.548527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.548527Z digest=sha256:24901fcdecbcf1f8c025cd5739466af86ed6a8ba2e24305c33db18d6938d5c3c

Observation 954e15af-3f29-4b5d-bcfc-1af29a6bd152 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:51.930213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.553660Z digest=sha256:a6f25156c43f2d96b64ec8d4e2d51f3fe9763566a30a1e84f005795a37a384ce

Observation 22b20d59-78a3-4085-a61d-92e83c7640bd · outbound

This paper cites Shinaoka, J.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Shinaoka, J

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.560795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.560795Z digest=sha256:d6f5d9c22e994237cac3264bd1c6426666f3f037a5a4ebfe9c3f1cdb22ee1a51

Observation 098b5dc4-5f93-4697-bdab-ae65d7e114d0 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.567152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.567152Z digest=sha256:759db110c2819e3a01d3b04af17aa6f4fac4fe054a445c20b3c1859976cb5872

Observation 59c57795-5cea-4b7c-990f-5a8a189392cd · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:51.893816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.574215Z digest=sha256:2802e1e1ca76916cf27567f02ae8ce5e934200f36d4c59886a1595376ed9b57b

Observation 202501b2-a6b3-46ba-a1eb-c22ed1cca4f4 · outbound

This paper cites Shinaoka, N.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Shinaoka, N

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:51.871500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.580170Z digest=sha256:c4c3df53db2a6c2974570992d31938ab4e74846527b66085910a5fba74fa427a

Observation 74037a2f-a6d7-4b98-a32e-7860938af864 · outbound

This paper cites Chikano, J.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Chikano, J

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:51.854700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.588844Z digest=sha256:1ddbd1525c138586b198bdd48bb13e59ac6041d49b03a801ea80f9f071d5ed72

Observation 585ff62c-e064-4cdb-8839-4bce98a191a6 · outbound

This paper cites an unresolved cited work.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-12T10:54:51.839662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.598919Z digest=sha256:dda1d604e4030f703540abe65a07d38a8d94a8427a935579f80ef5903026ade3

Observation 12f7b166-8dfa-45e9-bc04-a6f2789a3a78 · outbound

This paper cites For instance, the contribution of a pole with a positive coefficient between two adjacent poles re- quires positive and negative weights on neighboring DLR grid points.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation For instance, the contribution of a pole with a positive coefficient between two adjacent poles re- quires positive and negative weights on neighboring DLR grid points

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:51.823892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.613937Z digest=sha256:9e77bbc45cf87ead012f6a3bf715ea539a670e20098b4844332acea75f737be7

Observation f3245f7e-8d23-4d2e-b4ae-5a05804b015c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Adam: A Method for Stochastic Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.620742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.620742Z digest=sha256:0045672ecdb3b9e796136ca58502d3dda835f48f32d76a125b058ae05ff4a358

Observation 9e147c52-a919-4abb-bde5-49de46dedc17 · outbound

This paper cites Wallerberger, S.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Wallerberger, S

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T10:54:51.802700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T10:54:51.625868Z digest=sha256:2e7a0e5a1b78b6ec0462877fe1bd2f417b8cd651bbf8cb36fcf06d48d69efb10

Observation dd22b4b6-1fb5-49b5-9469-2bfdf774b637 · outbound

This paper cites Fashionable Modelling with Flux.

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Fashionable Modelling with Flux

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.631163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.631163Z digest=sha256:afae8ce2572b2ebe4ae728dc3c5340f56fd3762e78e15ecaae40f518a5a875fb

Observation 502de998-fcc8-4af6-909a-cdc59b15d472 · outbound

This paper cites Innes, Flux: Elegant Machine Learning with Julia, Journal of Open Source Software 10.21105/joss.00602 (2018).

Physics-informed neural network model for quantum impurity problems based on Lehmann representation Innes, Flux: Elegant Machine Learning with Julia, Journal of Open Source Software 10.21105/joss.00602 (2018)

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T10:54:51.636388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:54:51.636388Z digest=sha256:7a939b0be593944dc708519637c6c41ea3115109c5891baa6e578fb463b56d64

Pith citing papers

Observation 49ef9a07-861d-4700-a29a-1e6823bc89d2 · inbound

Compact and Stable Representation of Real-Frequency Spectral Functions for Machine Learning cites this paper.

Compact and Stable Representation of Real-Frequency Spectral Functions for Machine Learning Physics-informed neural network model for quantum impurity problems based on Lehmann representation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-14T06:23:32.807246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T06:23:32.807246Z digest=sha256:52ca1d29941fa63b9c08ca71ed7820b6666222142c13c6bc7a7d5e37b481ad79