Pith. sign in

Paper Citation Record · LEDGER

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2411.12636.

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

pith.paper-citation-record.v1
2411.12636 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:24:16.902455Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

25 of 25 outbound references displayed

  • verified exact7
  • verified fuzzy1
  • unresolved14
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 495424ca-e7f7-494c-825c-db47225a497d · outbound

This paper cites Noda, S., Yamamoto, S., Sato, S., Iwata, N., Korenaga, M., Ashiya, K.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Noda, S., Yamamoto, S., Sato, S., Iwata, N., Korenaga, M., Ashiya, K.,

Reference 2

Resolution
verified exact
doi, observed 2026-08-12T17:24:17.038306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.846853Z digest=sha256:3601ff12678cb00af3e3e47f99056d88361a4df9e3c1ce1b15205631a1c968c9

Observation ef073d13-6058-447c-90f7-2ce8181cca52 · outbound

This paper cites Mohr, F., van Rijn, J.N.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Mohr, F., van Rijn, J.N.,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.829731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.829731Z digest=sha256:fc56f452ddd65bf65656c7fbeef1a5db940bde22ff76ebf1f85972260c5ad164

Observation 1d5de874-c450-43ef-8b9f-3d9d6a4d98dd · outbound

This paper cites Louboutin, M., Lange, M., Luporini, F., Kukreja, N., Witte, P.A., Herrmann, F.J., Velesko, P., Gorman, G.J.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Louboutin, M., Lange, M., Luporini, F., Kukreja, N., Witte, P.A., Herrmann, F.J., Velesko, P., Gorman, G.J.,

Reference 4

Resolution
verified exact
doi, observed 2026-08-12T17:24:17.103896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.813793Z digest=sha256:102abaf4ddd43b63b4c00dfcf4d817854758175f11aaf5278233fe10a0b7858c

Observation d35b9814-5738-40a5-8a47-be2ff4407d0c · outbound

This paper cites 18 Singh, S.P., Silwal, V.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation 18 Singh, S.P., Silwal, V.,

Reference 6

Resolution
verified exact
doi, observed 2026-08-12T17:24:16.980873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.883021Z digest=sha256:b708c5210d589ac0d3ff7a3d6ddb18ff5ffa228d0fb76603419548c8ea509edb

Observation 1d25cdf3-7840-4444-8d52-f3b2c915a3b3 · outbound

This paper cites Learning Curves for Decision Making in Supervised Machine Learning: A Survey.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Learning Curves for Decision Making in Supervised Machine Learning: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.833684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.833684Z digest=sha256:99a602b7571bbc101da9462b1d561d5f61e47d98d3ef5b42f1b4dfa1f9c2ec14

Observation da725e31-04e5-4a04-9c36-3371c3b438f2 · outbound

This paper cites Mousavi, S.M., Beroza, G.C.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Mousavi, S.M., Beroza, G.C.,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.838613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.838613Z digest=sha256:4d4c0c73c27b0ff41a0bd48ff4cff6641547f3d62bfbc304937afc8f5bacae14

Observation e7232a34-d848-4b64-a4b1-c11cca1b4a25 · outbound

This paper cites Luporini, F., Louboutin, M., Lange, M., Kukreja, N., Witte, P., H¨ uckelheim, J., Yount, C., Kelly, P.H.J., Herrmann, F.J., Gorman, G.J.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Luporini, F., Louboutin, M., Lange, M., Kukreja, N., Witte, P., H¨ uckelheim, J., Yount, C., Kelly, P.H.J., Herrmann, F.J., Gorman, G.J.,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.817752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.817752Z digest=sha256:75526a72c36c15355ba2545c2c6fa070cabff391029edf2171fd01dd8ac7f5fb

Observation 4c4fa39c-47ea-4ec4-acab-86c426a41aec · outbound

This paper cites Demanet, L.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Demanet, L.,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.806025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.806025Z digest=sha256:dc11a8dc0f35ff9af4198b46ea76e67436a4925907e7839ff044386fc1a71efe

Observation 5982ee5e-3a85-4222-93bd-a07084e622ae · outbound

This paper cites Richardson, A.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Richardson, A.,

Reference 16

Resolution
verified exact
doi, observed 2026-08-12T17:24:17.010356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.859150Z digest=sha256:fbca66fe439cb5c1113bbdba086d05731c58abd812047e4ad3c0634ba294a6df

Observation b86eae87-ac58-4eef-9ce7-1f906ae6a9c0 · outbound

This paper cites Earth Science Informatics.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Earth Science Informatics

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T17:24:17.356079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.867535Z digest=sha256:3fef85410ec7621f55e64f94ca89a7d3121dc08ac659bc525640eb921eec705d

Observation 77b99a49-df1a-4b91-9610-0461f42b0e7a · outbound

This paper cites Ross, Z., Meier, M.A., Hauksson, E.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Ross, Z., Meier, M.A., Hauksson, E.,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.871904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.871904Z digest=sha256:680b847fd34f740e67944e8e1b3eee8573a99620a835176b2d91104203dccd8c

Observation 6ce39923-d5ba-40a1-9014-3ec8b234ce4a · outbound

This paper cites IEEE Geoscience and Remote Sensing Letters 1, 1–1.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation IEEE Geoscience and Remote Sensing Letters 1, 1–1

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.879215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.879215Z digest=sha256:7d7aee328f03e176310f5535682a8953dca6a706369d69670763a8437578753b

Observation 988d0f78-ca25-4ced-9582-89dace30a27c · outbound

This paper cites 2023.10.002.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation 2023.10.002

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-08-12T17:24:16.886769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.886769Z digest=sha256:d4b607e11f43c80e66909ee0b3f30961ea49856604bf5e0d56b3e37ee10c9c91

Observation 29d8dfee-d9c3-4f99-8b81-7cfb68104125 · outbound

This paper cites Seismological Research Let- ters 93, 1695–1709.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Seismological Research Let- ters 93, 1695–1709

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.894320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.894320Z digest=sha256:99d9af946295dd70e55d3066dadcbfb14c1f26eddfa72f630ec280511f414eb0

Observation 2deb2185-5570-4b91-8eb9-ae96f4b7e1bd · outbound

This paper cites Data Budgeting for Machine Learning.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Data Budgeting for Machine Learning

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T17:24:16.937173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.898241Z digest=sha256:c3d0ca4f42035e55fc243a169f201f3cbb681b7532d3673a205bb3258fdba98e

Observation 92a82dc0-463c-444b-9432-8b7d196ad968 · outbound

This paper cites maintainers, T., contributors,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation maintainers, T., contributors,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.821861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.821861Z digest=sha256:a7237db2d496b38fcd04482a1734b2e5740d4fee29d4be5ee87e8b3c9466e230

Observation fc1f0d72-53c9-4250-b446-05671ae33878 · outbound

This paper cites an unresolved cited work.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.902455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.902455Z digest=sha256:382218ea35b6f2569bdca35e83d58f4176ff03a75e67f829c2ddb7e44a9f73b4

Observation 079c3d8b-980b-4182-9d2d-487304be0f68 · outbound

This paper cites Saad, H., M.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Saad, H., M

Reference 123

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.875413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.875413Z digest=sha256:f9e2d099ab4e68aa04c12525ab8eb5ab8097c5bf6c50513d632540ee31ce9ae5

Observation 573521e8-fd3b-46d3-bfce-cc3578034a10 · outbound

This paper cites Geurts, P., Ernst, D., Wehenkel, L.,.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Geurts, P., Ernst, D., Wehenkel, L.,

Reference 218

Resolution
malformed identifier
no resolver link, observed 2026-08-12T17:24:16.809863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.809863Z digest=sha256:cb92f7b361bcb908f7896ebc86fbfcaa85ac8bca98f892aee65a85792a6760dd

Observation 70cb7a34-bdff-4356-a8bb-62ee119f9858 · outbound

This paper cites The Leading Edge 13, 927–936.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation The Leading Edge 13, 927–936

Reference 1994

Resolution
verified exact
doi, observed 2026-08-12T17:24:16.959783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.890356Z digest=sha256:6cf6e769394d91b8058214fd4176302dff802704fbd6cc15541a2b1959d234a5

Observation 8c2ef476-62ca-47cb-8820-dee14edcd254 · outbound

This paper cites Earth Planets and Space 64, 305–308.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Earth Planets and Space 64, 305–308

Reference 2012

Resolution
verified exact
doi, observed 2026-08-12T17:24:17.024926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.851052Z digest=sha256:7c85ea9ecc1c385f24c566ec4d237274ea503951dca6d72683aec42a35077edb

Observation e83c159e-3aeb-440b-a936-48b144353fde · outbound

This paper cites Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.863149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.863149Z digest=sha256:546ebb355434bd6fd3886cf4f00f75f5445462587fd02df640b1171792afe4f8

Observation 906c12af-6907-4b4c-b832-77055011c0e4 · outbound

This paper cites Interpretation 10, SE31– SE39.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Interpretation 10, SE31– SE39

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.826072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.826072Z digest=sha256:90b89ca60fc6446a29f3b99a8c8d5ba5b4ee9bfc1083f7ee447ecdfde40bd4b4

Observation 8ef37283-ca02-4982-8d47-5cc8a09be230 · outbound

This paper cites Annual Review of Earth and Planetary Sciences 51, 105–129.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation Annual Review of Earth and Planetary Sciences 51, 105–129

Reference 2023

Resolution
verified exact
doi, observed 2026-08-12T17:24:17.051068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T17:24:16.842667Z digest=sha256:21f690a6c0755520c6689ff1eeb115c6505d40f11a0ad9aebae286c4ffd59601

Observation 35010915-b2e5-4553-8c3e-0795386d21db · outbound

This paper cites QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1.

PyAWD: A Library for Generating Large Synthetic Datasets of Acoustic Wave Propagation QuakeSet: A Dataset and Low-Resource Models to Monitor Earthquakes through Sentinel-1

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-12T17:24:16.800960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:24:16.800960Z digest=sha256:54d3e095f93ce88778bc8000365b38890a186e5a834fc0c895a86fb30b46e8d0

Pith citing papers

No inbound Pith citation observations are available.