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Paper Citation Record · LEDGER

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers

As of 23 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2604.07412.

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

pith.paper-citation-record.v1
2604.07412 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:34:22.224476Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:34:22.224476Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-11T06:36:03.081327Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact2
  • verified fuzzy8
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3043ab6a-7724-4450-82fb-4f0bb0f0a0fa · outbound

This paper cites Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers

Reference 1

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verified exact
local_arxiv, observed 2026-05-11T06:36:03.086489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 501f604b-b1b3-4fa7-a342-6adf81f142ce · outbound

This paper cites an unresolved cited work.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-05-17T09:54:24.904240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1a67f176-d39d-4005-8ff6-582283cf7055 · outbound

This paper cites work, the surface admittance is expressed in dimension- less form asY= eY Z0.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers work, the surface admittance is expressed in dimension- less form asY= eY Z0

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-17T09:54:24.890906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 88008cef-fbbe-4f00-8944-f54ff1df3b47 · outbound

This paper cites PHYSICS-INFORMED NEURAL OPERATORS Neural operators constitute a class of machine learn- ing methods that aim to approximate mappings between infinite-dimensional function spaces.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers PHYSICS-INFORMED NEURAL OPERATORS Neural operators constitute a class of machine learn- ing methods that aim to approximate mappings between infinite-dimensional function spaces

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-17T09:54:24.894420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:34:22.224476Z digest=sha256:b47c0737464e7687b188ddf54643eeb224a22631995a543488880c833d79ea1c

Observation 7111f44d-4ea3-45a1-b814-18a3c60a84c1 · outbound

This paper cites This separation of roles re- duces the complexity of the learning problem and enables the model to generalize to arbitrary spatial evaluation points54.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers This separation of roles re- duces the complexity of the learning problem and enables the model to generalize to arbitrary spatial evaluation points54

Reference 5

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verified fuzzy
raw_fallback, observed 2026-05-17T09:54:24.901191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:34:22.224476Z digest=sha256:e5cbfe3c5f0fb8f8fbc1a285bb034cf1043f72ae8b3da86f5b4c8f5e21c093ff

Observation 9ff5b818-18ed-407e-9189-951934adb533 · outbound

This paper cites The neural operator consists of a branch network and a trunk network that together map the input frequency and spatial coordinates to the predicted acoustic field quantities (left).

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers The neural operator consists of a branch network and a trunk network that together map the input frequency and spatial coordinates to the predicted acoustic field quantities (left)

Reference 6

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verified fuzzy
raw_fallback, observed 2026-05-17T09:54:24.884118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2766f619-5392-45c2-b5f2-02a802b1e6dd · outbound

This paper cites Specifically, the network predicts the real and imaginary parts of the acoustic pressurep θ and the normal-direction particle ve- locityv z,θ, as illustrated in Fig.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Specifically, the network predicts the real and imaginary parts of the acoustic pressurep θ and the normal-direction particle ve- locityv z,θ, as illustrated in Fig

Reference 7

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verified fuzzy
raw_fallback, observed 2026-05-17T09:54:24.897894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:34:22.224476Z digest=sha256:89ab197d49e521c206b42ce7b2257a529f82a70af66089f2936448066fc8ae23

Observation ad803f8c-92ba-4fcf-afe2-8a45759921c6 · outbound

This paper cites an unresolved cited work.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Unresolved cited work

Reference 8

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unresolved
raw_fallback, observed 2026-05-17T09:54:24.917096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:34:22.224476Z digest=sha256:b53bcfce764d9c874bc42deb3ec50560e8a7b1c8b0b1d66b0dae09303159ee0e

Observation 1fa9d037-f226-47ac-8769-2e7ef021cc19 · outbound

This paper cites The DeepONet predictions are shown alongside the corresponding reference spectrum over the frequency range from 100 to 5000 Hz.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers The DeepONet predictions are shown alongside the corresponding reference spectrum over the frequency range from 100 to 5000 Hz

Reference 9

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raw_fallback, observed 2026-05-17T09:54:24.887477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 3a995a45-9f22-4864-90d0-cd1335fb5bfe · outbound

This paper cites The mean error valuesµare reported in the legends.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers The mean error valuesµare reported in the legends

Reference 10

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raw_fallback, observed 2026-05-17T09:54:24.907512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 833e7bb3-c0f8-408f-9966-e1c868aceae2 · outbound

This paper cites The shaded region indicates the standard deviationσover the considered frequency range.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers The shaded region indicates the standard deviationσover the considered frequency range

Reference 11

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verified fuzzy
raw_fallback, observed 2026-05-17T09:54:24.910987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dcd1fcb6-949f-45c0-bf94-1641548bccc1 · outbound

This paper cites Computer simulations in room acoustics: con- cepts and uncertainties.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Computer simulations in room acoustics: con- cepts and uncertainties

Reference 12

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verified exact
doi, observed 2026-05-10T17:35:39.213328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fa42dc4f-c77d-4ebc-8000-df76ceecfe99 · outbound

This paper cites an unresolved cited work.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Unresolved cited work

Reference 13

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unresolved
raw_fallback, observed 2026-05-17T09:54:24.914037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Pith citing papers

Observation 3043ab6a-7724-4450-82fb-4f0bb0f0a0fa · inbound

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers cites this paper.

Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers Physics-informed neural operators for the in situ characterization of locally reacting sound absorbers

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-11T06:36:03.086489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T17:34:22.224476Z digest=sha256:865425f47567c0296da6b4341d0dde09f165911a71ba0189f0fd9db91f073155