Paper Citation Record · LEDGER

Better Protein Function Prediction by Modeling Survivorship Bias

As of 13 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2605.06879.

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

pith.paper-citation-record.v1
2605.06879 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:34:14.101643Z

measured 16 of 16 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

16 of 16 outbound references displayed

verified exact1
verified fuzzy11
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd339701-cfee-4cea-b186-e9e815ddfe3c · outbound

This paper cites Global burden of respiratory infections due to seasonal influenza in young children: a systematic review and meta-analysis.The Lancet, 378(9807):1917–1930.

Better Protein Function Prediction by Modeling Survivorship Bias Global burden of respiratory infections due to seasonal influenza in young children: a systematic review and meta-analysis.The Lancet, 378(9807):1917–1930

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.998535Z

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.

Observation 003eef06-3664-41b3-b0cf-cdaaa631357c · outbound

This paper cites One-Class Classification: A Survey.

Better Protein Function Prediction by Modeling Survivorship Bias One-Class Classification: A Survey

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:40:52.254188Z

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.

Observation d2ef1dcc-6096-4179-aeb1-c0a7508acbca · outbound

This paper cites Survivor bias drives overestimation of stability in reconstructed ancestral proteins.bioRxiv, pages 2022–11.

Better Protein Function Prediction by Modeling Survivorship Bias Survivor bias drives overestimation of stability in reconstructed ancestral proteins.bioRxiv, pages 2022–11

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:58.004209Z

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.

Observation d602da5c-8a40-4058-932d-ee81246d0aab · outbound

This paper cites evasion peptide.

Better Protein Function Prediction by Modeling Survivorship Bias evasion peptide

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:58.002076Z

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.

Observation 08818ede-9689-41a3-8a0c-4625ea9131d6 · outbound

This paper cites an unresolved cited work.

Better Protein Function Prediction by Modeling Survivorship Bias Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-14T16:11:58.000229Z

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.

Observation 7816833e-d276-476e-ad56-9be96b250f52 · outbound

This paper cites For the influenza evasion task, the test set contains 51 peptide sequences collected in 2025 and labeled as evasive (functional).

Better Protein Function Prediction by Modeling Survivorship Bias For the influenza evasion task, the test set contains 51 peptide sequences collected in 2025 and labeled as evasive (functional)

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.996668Z

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.

Observation da94e727-8157-4cab-b724-ceeac89fb5cb · outbound

This paper cites an unresolved cited work.

Better Protein Function Prediction by Modeling Survivorship Bias Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-05-14T16:11:58.006021Z

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.

Observation afef244f-c645-4fb4-9b81-d4aa63526b06 · outbound

This paper cites For each choice of k, we perform 10-fold cross-validation and select the best k based on the average AUC.

Better Protein Function Prediction by Modeling Survivorship Bias For each choice of k, we perform 10-fold cross-validation and select the best k based on the average AUC

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.994410Z

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.

Observation d5de8db9-d5f0-4631-8c72-d214c3514ac7 · outbound

This paper cites an unresolved cited work.

Better Protein Function Prediction by Modeling Survivorship Bias Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-14T16:11:57.992509Z

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.

Observation 466be41b-b52f-4ed1-8fab-ba3495b00272 · outbound

This paper cites Anomaly Detection using One-Class Neural Networks.

Better Protein Function Prediction by Modeling Survivorship Bias Anomaly Detection using One-Class Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:40:52.245634Z

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.

Observation 4544145d-8999-430e-a3b1-1e7d89d89bf8 · outbound

This paper cites A random forest based approach for one class classification in medical imaging.

Better Protein Function Prediction by Modeling Survivorship Bias A random forest based approach for one class classification in medical imaging

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.984155Z

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.

Observation e821a061-038e-4206-9bca-49c07824feea · outbound

This paper cites Deep multi-sphere support vector data description.

Better Protein Function Prediction by Modeling Survivorship Bias Deep multi-sphere support vector data description

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.982310Z

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.

Observation 8c20559e-c9d7-4f2a-a240-6362f123cf33 · outbound

This paper cites Negative training data can be harmful to text classification.

Better Protein Function Prediction by Modeling Survivorship Bias Negative training data can be harmful to text classification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.990490Z

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.

Observation b9a96e74-8844-4726-9cf7-aceb570d3414 · outbound

This paper cites Viral surveillance and subtyping interface (vssi).https://www.ncbi.nlm.nih.gov/labs/ virus/vssi/#/[Accessed: (2025-05-15)].

Better Protein Function Prediction by Modeling Survivorship Bias Viral surveillance and subtyping interface (vssi).https://www.ncbi.nlm.nih.gov/labs/ virus/vssi/#/[Accessed: (2025-05-15)]

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.980360Z

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.

Observation acd35d7f-b8c4-4deb-b1dc-bc3eeac62938 · outbound

This paper cites Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al.

Better Protein Function Prediction by Modeling Survivorship Bias Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.986321Z

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.

Observation 775c2295-9a3c-4e47-a5ca-d1daf30f1708 · outbound

This paper cites Single-class classifier learning using neural networks: An application to the prediction of mineral deposits.

Better Protein Function Prediction by Modeling Survivorship Bias Single-class classifier learning using neural networks: An application to the prediction of mineral deposits

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-14T16:11:57.988488Z

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.

Pith citing papers

No inbound Pith citation observations are available.