Pith. sign in

Paper Citation Record · LEDGER

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2510.17569.

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

pith.paper-citation-record.v1
2510.17569 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T05:45:47.563344Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

12 of 12 outbound references displayed

  • verified exact3
  • verified fuzzy6
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b005fcb8-eb19-4181-b494-65b6dc6d68c0 · outbound

This paper cites Id", blue dots, solid regression line) a 64-dimensional latent space, or (.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Id", blue dots, solid regression line) a 64-dimensional latent space, or (

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:45:56.314480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:1778c3e97d2cb1a6b50c50f920e873ed36eec1951c2cc7e4d22dc3ba5671821c

Observation 79c168a8-b57a-46be-b833-baab031d0863 · outbound

This paper cites an unresolved cited work.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:45:56.319639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:980337b22b65a9d16f94424940c67a985b033f33e85895d90a276a8fee1c1076

Observation 18e5786e-fe50-4599-8a96-91c60aa40c55 · outbound

This paper cites Seyfi, F.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Seyfi, F

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:45:56.322037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:a88aed5e38e42fe58f6314b0c4980cf2a23840d0c509d58b33d26f01f66d2838

Observation b8423cb8-4343-483c-9bc6-dce887b27650 · outbound

This paper cites Zakharova, M.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Zakharova, M

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:45:56.327814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:e48f6ae85230f1b231d287d881a7a5bf75591da449bc2e71ecb8d89a4669c8b7

Observation ecf340e1-171a-43fb-87cb-9096a62d09b7 · outbound

This paper cites an unresolved cited work.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:45:56.316895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:e2db7bdb1ecbe2e9b1d0de8baea405f2356cdf7e842efcac02aa402111b42ee9

Observation bf1d9549-3e71-4536-bf99-045ec6b4c918 · outbound

This paper cites Gómez-Bombarelli, J.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Gómez-Bombarelli, J

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:45:56.325404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:714022d1d60d4fe5835b094c99f1962bfd48c4ba270750061984bf9765a18c7c

Observation 10ecb287-9743-4ea2-9e0b-9bdee090579b · outbound

This paper cites Advancing Bayesian Optimization via Learning Correlated Latent Space.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Advancing Bayesian Optimization via Learning Correlated Latent Space

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:45:56.048753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:3672dfe605d608940a5cc8237b050a3a49675cc3f3cc993b2633b96daac76d4d

Observation a3dbbb16-e52d-4eea-be2a-7c4c80c9a02c · outbound

This paper cites Shahriari, K.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Shahriari, K

Reference 8

Resolution
verified exact
doi, observed 2026-05-18T05:45:55.899730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:1b4b6455cd1db87778c5f84db2af14a32ef06adbe0e1b60da24f07168c03195f

Observation 0aac0ca0-1572-4c85-871a-f24edbf09325 · outbound

This paper cites Attention Is All You Need.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Attention Is All You Need

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-18T05:45:56.052262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:93da4ad1a601ad1fda425ae687b6fe1ed94d9ed4a48f016e3ff53cc460d9ba20

Observation a6bc9688-6c5c-4b98-bb82-c46cf6751604 · outbound

This paper cites an unresolved cited work.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-05-18T05:45:56.308922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:de72ff92cbb64d6d2c95967f5b257754c08d16831ee5df3627715f51941b24a4

Observation c908be2b-453c-41ac-81a5-b841ef2f36c2 · outbound

This paper cites 0 5 20 40 60 80 100 Sequence length 0 1000 2000 3000 4000 5000 6000 7000Count a.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides 0 5 20 40 60 80 100 Sequence length 0 1000 2000 3000 4000 5000 6000 7000Count a

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:45:56.306503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:70d32651ef74d24c4bba0bb076a9e83fb4db42d411800c71de5ce737c0d00aab

Observation b76bad8c-d479-4bcb-a422-8b854ec555aa · outbound

This paper cites For the main text, we trained 27 models to 100 epochs, giving an approximate total energy usage of178.2kWh.

Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides For the main text, we trained 27 models to 100 epochs, giving an approximate total energy usage of178.2kWh

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-18T05:45:56.311613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-18T05:45:47.563344Z digest=sha256:c9e504260c0ef418ef56124e5dfb527a54020844a1659b671b12c6981231a84a

Pith citing papers

No inbound Pith citation observations are available.