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Paper Citation Record · LEDGER

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks

As of 17 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2506.20469.

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

pith.paper-citation-record.v1
2506.20469 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:38.133347Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

11 of 11 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f3bfad45-f478-4b39-9db9-8c547241a9ac · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:39.844155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.511512Z digest=sha256:0e1e0917537ffcc54594ac907671aa32383c12c22e552d9f3574afa08b913fd8

Observation bdcf6113-206d-460d-b1ea-3723d788c70e · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:39.660162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.567456Z digest=sha256:d166abfc8181cf70896a8d6aa1d8438c3e310c8a9cc592dc334b265a04eaf585

Observation ab7f265d-1638-4b3c-b216-8dafe10df602 · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:39.530584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.615622Z digest=sha256:dea813e24fd4a68c92f395ae9e1be4ad4e425c94f4be4147d2381cae39cb6419

Observation 59b4942a-5d27-406a-af32-472c53c5ef01 · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:39.330553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.699018Z digest=sha256:70aa714ae0ba44cc4efcf68abde071fc2a21fa4be0d577cc376487b9b8539e42

Observation 96b6627b-cae0-4ebe-9940-ae5bbdbf098e · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:39.197087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.781205Z digest=sha256:700163ac9df4fc4c77ad01fa921d99a5fdfc788a3a8d35e5669a3b5f1b1bc079

Observation e2fe9c64-2007-4694-b5bd-19b258126ed7 · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:39.029825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.838778Z digest=sha256:6bee497fdb8e25005c47a715a8fcd2b4d33b280d0846b0e3950a7537f4cdcbc4

Observation 62bdc61f-a284-4fc1-82b7-165ddb81fdbf · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:38.845434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.921756Z digest=sha256:cf5f3077c51dcac36db0ec88e9fef86c425179140d97c39e735236cd3f3ab549

Observation 066971bb-28c6-47d4-854e-50b7fae81fec · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:38.665205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:37.956280Z digest=sha256:1cefda99ce76e76fcfabdfdfc16360f5f22efee0efc6b693ec12234698dfe190

Observation 615fac8d-4b24-4985-ab1a-9c466471df5a · outbound

This paper cites an unresolved cited work.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T22:52:38.352573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:38.087694Z digest=sha256:d058d143c466972a45ee5467754de45edbebd83e3f799eb0de0b627ae1a92989

Observation ff0e5827-2f68-4e22-a6ba-5713381e469c · outbound

This paper cites Critical current of a Josephson junction containing a conical magnet.

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks Critical current of a Josephson junction containing a conical magnet

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:38.133347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:38.133347Z digest=sha256:5a23d66365bbacbfdb7abef0fc7d216d7ec52cda7b867e235a23b138b560f784

Observation d33bc74a-7643-42c6-a22c-9ebb573e0ce4 · outbound

This paper cites In 2016 international joint conference on neural networks (IJCNN).

Surrogate-Assisted Evolution for Efficient Multi-branch Connection Design in Deep Neural Networks In 2016 international joint conference on neural networks (IJCNN)

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T22:52:38.525815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-06T22:52:38.037945Z digest=sha256:411f7afdea5f567fe6ec6a5846c2d5c114d814bc075f5fc191a5d3038ad274d1

Pith citing papers

No inbound Pith citation observations are available.