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Paper Citation Record · LEDGER

Efficient Multi-Domain Network Learning by Covariance Normalization

As of 14 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:1906.10267.

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

pith.paper-citation-record.v1
1906.10267 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T17:08:59.768804Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

50 of 50 outbound references displayed

  • verified exact12
  • verified fuzzy29
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9868e036-8dc0-4685-b8af-ef8a8652aa85 · outbound

This paper cites Aljundi, P.

Efficient Multi-Domain Network Learning by Covariance Normalization Aljundi, P

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation fa9f3d2d-cf92-434b-afac-031cffca6d19 · outbound

This paper cites Universal representations:The missing link between faces, text, planktons, and cat breeds.

Efficient Multi-Domain Network Learning by Covariance Normalization Universal representations:The missing link between faces, text, planktons, and cat breeds

Reference 2

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arxiv_id, observed 2026-05-25T17:11:04.399062Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 600759b0-d5c5-456c-a800-79d36332cbef · outbound

This paper cites Bousmalis, N.

Efficient Multi-Domain Network Learning by Covariance Normalization Bousmalis, N

Reference 3

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 22155ba7-1bee-45e8-a40f-d43fee1cc30e · outbound

This paper cites Bousmalis, G.

Efficient Multi-Domain Network Learning by Covariance Normalization Bousmalis, G

Reference 4

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation e0eae4ab-3859-4c9b-b748-0ec0c57ca71c · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization 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 2026-08-14T06:32:32.682623+00:00.

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Observation 9dff76d8-3ea2-4176-964b-7b5d2e2260a7 · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d35c5bb9-1631-4557-9043-d3efeb125e96 · outbound

This paper cites Eigen and R.

Efficient Multi-Domain Network Learning by Covariance Normalization Eigen and R

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 802b92c7-780a-47ff-a3a1-c4abb84a270e · outbound

This paper cites Ganin and V.

Efficient Multi-Domain Network Learning by Covariance Normalization Ganin and V

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ea111930-09aa-4623-90fa-ac785ddc150b · outbound

This paper cites Fast R-CNN.

Efficient Multi-Domain Network Learning by Covariance Normalization Fast R-CNN

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation ad3c3241-0c57-455d-a9ff-a1c5ad2d2a5d · outbound

This paper cites Gkioxari, R.

Efficient Multi-Domain Network Learning by Covariance Normalization Gkioxari, R

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation edbda216-8d8c-429e-965d-7288c91e3fbf · outbound

This paper cites Goodfellow, J.

Efficient Multi-Domain Network Learning by Covariance Normalization Goodfellow, J

Reference 11

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation b2865464-7962-4ebf-abbe-716a07144928 · outbound

This paper cites Griffin, A.

Efficient Multi-Domain Network Learning by Covariance Normalization Griffin, A

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation d212f464-046e-4d95-84d0-c32990330504 · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 13

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raw_fallback, observed 2026-05-25T17:11:05.427486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 6f162ec9-4d84-43cb-a120-df7cd3b14c8f · outbound

This paper cites CyCADA: Cycle-Consistent Adversarial Domain Adaptation.

Efficient Multi-Domain Network Learning by Covariance Normalization CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Reference 14

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local_arxiv, observed 2026-05-25T17:11:04.416392Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:afc52b5ed9f8a746fa2763bbd8801b4352fdbe749aa39e0677e8b92d4556b27d

Observation ac960414-9f66-452e-9cc8-910adaaa13e2 · outbound

This paper cites Huang, R.

Efficient Multi-Domain Network Learning by Covariance Normalization Huang, R

Reference 15

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raw_fallback, observed 2026-05-25T17:11:05.423428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:a0e0a3f6c6ccac4d734a4dda8916b848e209bb31093bbfa2f276bb18a9285337

Observation 70980ca3-6142-42a8-a4c8-8eaeaca7db53 · outbound

This paper cites Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift.

Efficient Multi-Domain Network Learning by Covariance Normalization Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Reference 16

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local_arxiv, observed 2026-05-25T17:11:04.350628Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 18d39d1c-6bdd-47f7-8d81-6e9c718db21c · outbound

This paper cites Jou and S.-F.

Efficient Multi-Domain Network Learning by Covariance Normalization Jou and S.-F

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:6ebb178d8334bb6a852bdb317d44b9cbd71d5028e5750fd76eaf7a70b45f7b8d

Observation 3703d0e2-2651-4f57-8eb8-95d5d948091b · outbound

This paper cites Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics.

Efficient Multi-Domain Network Learning by Covariance Normalization Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics

Reference 18

Resolution
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local_arxiv, observed 2026-05-25T17:11:04.357152Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 3f136047-ae71-4869-8ba1-7661209b05f3 · outbound

This paper cites Kokkinos.

Efficient Multi-Domain Network Learning by Covariance Normalization Kokkinos

Reference 19

Resolution
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 03b4cdcb-af8e-4eef-b88d-32fe78c56fbf · outbound

This paper cites Krizhevsky and G.

Efficient Multi-Domain Network Learning by Covariance Normalization Krizhevsky and G

Reference 20

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation f62f3864-ec02-468d-bb1c-22c1d06900c9 · outbound

This paper cites LeCun, Y.

Efficient Multi-Domain Network Learning by Covariance Normalization LeCun, Y

Reference 21

Resolution
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 87e89376-a9c7-4bbd-a17d-c26add70c431 · outbound

This paper cites Lee, J.-H.

Efficient Multi-Domain Network Learning by Covariance Normalization Lee, J.-H

Reference 22

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Observation adae94de-a244-4722-bfc3-54df79267990 · outbound

This paper cites Li and D.

Efficient Multi-Domain Network Learning by Covariance Normalization Li and D

Reference 23

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1781c82b-e80b-40b3-b2f9-9e7e33a0d106 · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 24

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Observation 5f242d57-ea4a-4812-9ab6-fc88b1b31b13 · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 25

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Observation e1c28edc-d84c-458d-b7a6-9d192d7cf8b4 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Efficient Multi-Domain Network Learning by Covariance Normalization Fine-Grained Visual Classification of Aircraft

Reference 26

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local_arxiv, observed 2026-05-25T17:11:04.410975Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:dadc3ab3413bba2802408ab8486fab543ebed37b5f8b31d2e1d67088bf102f0d

Observation d3dd418a-ec94-4118-a227-72b8ace28e6e · outbound

This paper cites Mallya, D.

Efficient Multi-Domain Network Learning by Covariance Normalization Mallya, D

Reference 27

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raw_fallback, observed 2026-05-25T17:11:05.365199Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:06cd7b1502a0d29a69967bea94c1d6b03d8ec68ffa6feaa870231c8a657f9eb6

Observation 62a3a918-8034-4c7e-a30b-521c9579c2bf · outbound

This paper cites Boosting Domain Adaptation by Discovering Latent Domains.

Efficient Multi-Domain Network Learning by Covariance Normalization Boosting Domain Adaptation by Discovering Latent Domains

Reference 28

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local_arxiv, observed 2026-05-25T17:11:04.393805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:8aa8a8eaf8e0b65c718f429bdec4e8d3fcc80e264a913a076b7532b72a07a860

Observation 6cf963b1-9010-40da-9e7f-f9e3ecddefe2 · outbound

This paper cites Misra, A.

Efficient Multi-Domain Network Learning by Covariance Normalization Misra, A

Reference 29

Resolution
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raw_fallback, observed 2026-05-25T17:11:05.369403Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 296e6449-cb15-4aba-8fdd-9e01cafdb951 · outbound

This paper cites Morgado and N.

Efficient Multi-Domain Network Learning by Covariance Normalization Morgado and N

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:9f57cedf4253afbc525d4c335462a6e2e3e23141e703c7dd6de6995e9d701637

Observation 55b255b2-f0fd-48d9-ac05-fce17f12201f · outbound

This paper cites Netzer, T.

Efficient Multi-Domain Network Learning by Covariance Normalization Netzer, T

Reference 31

Resolution
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raw_fallback, observed 2026-05-25T17:11:05.381420Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 8433d101-17b3-44e7-b55d-326033c73ac3 · outbound

This paper cites Nilsback and A.

Efficient Multi-Domain Network Learning by Covariance Normalization Nilsback and A

Reference 32

Resolution
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raw_fallback, observed 2026-05-25T17:11:05.357021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:398d1807bf3038ac0d4d7052a6aa8ed477c4fc4592108ba36b5755c50899baa5

Observation 0dd3d270-6a44-4e5a-aa81-f1b04a239507 · outbound

This paper cites Ranjan, V.

Efficient Multi-Domain Network Learning by Covariance Normalization Ranjan, V

Reference 33

Resolution
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raw_fallback, observed 2026-05-25T17:11:05.353109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:11660d59b61c33014d5cf4bdb761e492a020e43443cfe5bcffa263db00e497df

Observation d7b4142b-ceb5-4a80-80d8-9209d90e0def · outbound

This paper cites Rebuffi, H.

Efficient Multi-Domain Network Learning by Covariance Normalization Rebuffi, H

Reference 34

Resolution
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raw_fallback, observed 2026-05-25T17:11:05.465918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:0969155495627c148fdc99bcf9a6f23c40a0321e19e973f7062cd75cccaf0cf8

Observation 0a6311d9-74b6-4406-9c48-b23fb61f2649 · outbound

This paper cites Efficient parametrization of multi-domain deep neural networks.

Efficient Multi-Domain Network Learning by Covariance Normalization Efficient parametrization of multi-domain deep neural networks

Reference 35

Resolution
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local_arxiv, observed 2026-05-25T17:11:04.363560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:0481b87b6b44a565db821499fbf9271d1071b2cea9ccfdf487d90ca5457cdec6

Observation 5221234b-c05a-41be-a0c6-207245809d08 · outbound

This paper cites Rebuffi, A.

Efficient Multi-Domain Network Learning by Covariance Normalization Rebuffi, A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.360500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:3e1de12a2b6e510c86ead3baec4b68816c3c0c3d32fa31c54037a1d977e67654

Observation f0773537-6698-4805-b8c8-7eebdc346845 · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 37

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unresolved
raw_fallback, observed 2026-05-25T17:11:05.348334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:d2bd692de9e7548db075c23e95ef4ba51ead98d2086b401b1c61360db4dde9b7

Observation 1b6a87a7-9ad8-4cf0-9b9e-c1e471bd58ad · outbound

This paper cites Incremental Learning Through Deep Adaptation.

Efficient Multi-Domain Network Learning by Covariance Normalization Incremental Learning Through Deep Adaptation

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:11:04.404876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:eb7bfbba9b01fa2a951be00a136925e037ee627f02bdfca1f6fd29cb18a48ed4

Observation 47f6184b-b978-4e63-98f8-230f65acdddf · outbound

This paper cites Rosenfeld and J.

Efficient Multi-Domain Network Learning by Covariance Normalization Rosenfeld and J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.415371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:1f8c00dab59f315d67cb9c873d3b7a9cc13479b9f8a7372a6c760b904aec72a4

Observation 2f3afeb0-43c8-4896-90e9-a5cade7aa80d · outbound

This paper cites Progressive Neural Networks.

Efficient Multi-Domain Network Learning by Covariance Normalization Progressive Neural Networks

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:11:04.376444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:311f55229ab917ccbcf7c98e62571fdcb4b9cac9e67838474ae8416b8d7c5d67

Observation 70097673-c713-423a-ac09-4869cc72646a · outbound

This paper cites Shrivastava, T.

Efficient Multi-Domain Network Learning by Covariance Normalization Shrivastava, T

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.411132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:11a0a9d167a6737a0000b57eb132457b3af6d7ace68b2be9312f458a2ffebb6b

Observation c31f8182-8f25-4bf1-a00f-1c2c95e17633 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Efficient Multi-Domain Network Learning by Covariance Normalization Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-05-25T17:11:04.369539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:c34dd063428d52bde8dd0728b39cf85b4b8149bc8c817ec1f2df360668c7dac8

Observation 12015126-e319-4862-9c04-be75de7d8245 · outbound

This paper cites Sun and K.

Efficient Multi-Domain Network Learning by Covariance Normalization Sun and K

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.393054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:5cb320dbd7b60a4b7d87d19fc1b975a84570999d6070af4f26b29456d646342b

Observation f3c7ddc1-53f6-40b6-9e84-bc8d12b9a48e · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-25T17:11:05.508528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:d4d22b3e2fc4bd66e374240f94b683593476cd2f70a37358a46b992ef8e0f902

Observation b93e4fc7-b045-4e10-bb36-a9ec479448d6 · outbound

This paper cites Tzeng, J.

Efficient Multi-Domain Network Learning by Covariance Normalization Tzeng, J

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.505120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:edf6c934b58fb5837385f6354116577275f7dfaaef6e653c189b9b5e8c014998

Observation 3a172a97-d1c8-4359-8663-ab578f96e556 · outbound

This paper cites Valenti, B.

Efficient Multi-Domain Network Learning by Covariance Normalization Valenti, B

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.389601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:a625d68cc654b72259ba690e6df8f8b4a105005ecc3d3263b2021c749f99fc9d

Observation b7db7bbe-b9f3-40b6-b58c-da5073c49fbe · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-05-25T17:11:05.402264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:6756eac511a8532f210cc09f427c5b742a7acd916fe0367b2230f46f6131a474

Observation 69f752be-66bc-4275-8c8c-81850d60756c · outbound

This paper cites an unresolved cited work.

Efficient Multi-Domain Network Learning by Covariance Normalization Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-05-25T17:11:05.406899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:77b154db9d144f645a87cb3d7d28e847c42dda3f310865561ada80cdb16d50aa

Observation d1cc09fd-a8e0-48d3-8e4f-552f310d5dec · outbound

This paper cites A Survey on Multi-Task Learning.

Efficient Multi-Domain Network Learning by Covariance Normalization A Survey on Multi-Task Learning

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-25T17:11:04.387292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:c5749541aaec0067998b256c7240c0cacd0ee81b0ae8a18b185bfadfdf4c37f7

Observation 96d62699-7208-4305-a0f7-57d110f0e376 · outbound

This paper cites Zhang, P.

Efficient Multi-Domain Network Learning by Covariance Normalization Zhang, P

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T17:11:05.385345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-25T17:08:59.768804Z digest=sha256:cfacb842b7272505549725ea94d08f98caee01471838607ecb853b59b52b98bb

Pith citing papers

No inbound Pith citation observations are available.