Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.511512Z digest=sha256:32cfb5eb49fd77047396e0932dd8e03f8dbf27537265ea62de79984889ae619c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.567456Z digest=sha256:82677b976df89aa7752294da834f6f42249fa979ed712486a11538bf81264424

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.615622Z digest=sha256:0a0db48f11fff75a74ca8b273503a37423346b29557069e8adc571aa4ae41253

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.699018Z digest=sha256:30e8fb9177a7c0353201481cbafb2f779b5b31d0b7c63a7dce933f0ff0ee1b61

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.781205Z digest=sha256:2894a36a6f2cf1e16a271881d21fad21ac9bf6fd4986acf3eb16c08dafc5fe8f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.838778Z digest=sha256:1a28a52ad87a3553a8697b184a9f72256fec0a065d2833a191702093527b0cab

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.921756Z digest=sha256:189c377a85d4895eff08daeffea496d70e9a858e989388df78e60a63dd17c9ef

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:37.956280Z digest=sha256:5582011a2e44fa5ced6b3cf9a0ad42875e2aaa1e4ea040c78c5c534833903b64

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:38.087694Z digest=sha256:628b67a465648706efeecbbd99a22634eb8e9003414def359992e050d0b53992

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:52:38.037945Z digest=sha256:035ae516ab6c190972abeec32cae646196e44b724b2e1890ff79c93be210cb43

Pith citing papers

No inbound Pith citation observations are available.