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Paper Citation Record · LEDGER

Predicting interacting Green's functions with neural networks

As of 20 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 4 inbound Pith citation observations for arXiv:2411.13644.

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

pith.paper-citation-record.v1
2411.13644 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:19:56.856379Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:54:51.525906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T00:43:24.631902Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved13
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfa508ea-0eac-4e5e-b531-ada58c9f29ca · outbound

This paper cites Hohenberg and W.

Predicting interacting Green's functions with neural networks Hohenberg and W

Reference 1

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no resolver link, observed 2026-08-12T16:19:56.779259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5cc445a9-9554-46c7-b8be-0e993844e352 · outbound

This paper cites Kohn and L.

Predicting interacting Green's functions with neural networks Kohn and L

Reference 2

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no resolver link, observed 2026-08-12T16:19:56.784165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:19:56.784165Z digest=sha256:6cccf71a9efdaa0e3cbb0ed2e9dc3daa0f709038abbccd1492b829737face5bc

Observation 46cd0973-1387-4d97-b4ee-58136eeb11ab · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-12T16:19:56.788194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:19:56.788194Z digest=sha256:0f5f69f091c0ddedbf35a16541922c559e891eadb4bc63bf28888a645a60c3d4

Observation da238796-95c8-4afd-a2d1-7f9dac8c0568 · outbound

This paper cites Weber, Data-driven dynamical mean-field theory: An error-correction approach to solve the quantum many- body problem using machine learning, Physical Review B 104, 205120 (2021).

Predicting interacting Green's functions with neural networks Weber, Data-driven dynamical mean-field theory: An error-correction approach to solve the quantum many- body problem using machine learning, Physical Review B 104, 205120 (2021)

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-12T16:19:57.077050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2de58cc8-a079-4234-96be-66a9df74ab63 · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 7ed286d8-ca9f-440b-8055-2cb6b7b81f9a · outbound

This paper cites Ren, R.-S.

Predicting interacting Green's functions with neural networks Ren, R.-S

Reference 6

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no resolver link, observed 2026-08-12T16:19:56.801683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:19:56.801683Z digest=sha256:709bae47bf195ab75c8306466e25407954971988e3816686f893a38986cbb510

Observation ef748b60-7dcb-493b-9e71-1ca34438a965 · outbound

This paper cites Arsenault, A.

Predicting interacting Green's functions with neural networks Arsenault, A

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T16:19:57.040832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9639ff05-2f70-46cf-872b-42cc867cbb30 · outbound

This paper cites Song and H.

Predicting interacting Green's functions with neural networks Song and H

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 940c5382-2359-45e8-8ca8-9e612d837829 · outbound

This paper cites Lee, Continuous time quantum monte carlo in com- bination with machine learning on the hubbard model, Journal of the Korean Physical Society 75, 841 (2019).

Predicting interacting Green's functions with neural networks Lee, Continuous time quantum monte carlo in com- bination with machine learning on the hubbard model, Journal of the Korean Physical Society 75, 841 (2019)

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation ff77a980-2c42-42ad-b600-33780d66bc0d · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f7899288-00da-4a05-a1c0-898b4860fc65 · outbound

This paper cites Boehnke, H.

Predicting interacting Green's functions with neural networks Boehnke, H

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4c17f15e-93f9-4f52-8e71-6e0c41fca4fd · outbound

This paper cites Paszke, S.

Predicting interacting Green's functions with neural networks Paszke, S

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e41c4b1e-11a0-457a-b83d-472c0c1a1f3a · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 51e1ee4b-4f0c-4f5a-9a33-acc1761fb10c · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 19e5c61a-769b-47fd-96a7-91cf8b578c82 · outbound

This paper cites Parcollet, M.

Predicting interacting Green's functions with neural networks Parcollet, M

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 1f3a9d62-27fc-4c98-86b5-60fae788e598 · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T16:19:56.923943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 3a738425-981c-412e-bdd1-b53efd1dbc92 · outbound

This paper cites Jarrell and J.

Predicting interacting Green's functions with neural networks Jarrell and J

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87f3f88f-fa52-4127-b440-5f4656d5fe8f · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0e4939c7-d21b-4d3d-86ab-2fceac5ee3de · outbound

This paper cites an unresolved cited work.

Predicting interacting Green's functions with neural networks Unresolved cited work

Reference 19

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Pith citing papers

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

Physics-informed neural network model for quantum impurity problems based on Lehmann representation cites this paper.

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

Reference 14

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

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Unavailable: canonical work link unavailable.

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Observation b2aa3bb0-fa25-45d2-ba4e-f38f1c5f143e · inbound

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space cites this paper.

Linear Foundation Model for Quantum Embedding: Data-Driven Compression of the Ghost Gutzwiller Variational Space Predicting interacting Green's functions with neural networks

Reference 63

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Unavailable: canonical work link unavailable.

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Observation be5b9c56-e31b-47e1-9ad7-7f3596491264 · inbound

Neural networks as low-cost surrogates for impurity solvers in quantum embedding methods cites this paper.

Neural networks as low-cost surrogates for impurity solvers in quantum embedding methods Predicting interacting Green's functions with neural networks

Reference 31

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verified exact
arxiv_id, observed 2026-05-15T00:43:24.635344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1233558f-9ae6-4943-8a4e-95caf50cd43f · 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 Predicting interacting Green's functions with neural networks

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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