Paper Citation Record · LEDGER

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.20799.

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

pith.paper-citation-record.v1
2412.20799 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:14:41.825691Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy9
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f771e96b-dbb5-467e-a3d7-1c6ed591a9d2 · outbound

This paper cites Branwen and S.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Branwen and S

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.325098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7be08fa0-9842-4815-b329-46991558f7c0 · outbound

This paper cites Westerlund, ”The emergence of deepfake technology: A review,” Technology Innovation Management Review , vol.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Westerlund, ”The emergence of deepfake technology: A review,” Technology Innovation Management Review , vol

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.313188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f91abea0-6204-4aab-8b83-fca2ac270160 · outbound

This paper cites Vincent, ”Watch Jordan Peele use AI to make Barack Obama deliver a PSA about fake news,” The V erge, vol.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Vincent, ”Watch Jordan Peele use AI to make Barack Obama deliver a PSA about fake news,” The V erge, vol

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.301690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91d2957e-9b54-4643-acce-c7f61a1ce178 · outbound

This paper cites Suwajanakorn, S.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Suwajanakorn, S

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.264231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 983a4292-b8c1-4acd-93d1-8022ad30d445 · outbound

This paper cites Fallis and K.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Fallis and K

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.253251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation de61d67b-4c9b-4b36-85e0-c2b61b471d82 · outbound

This paper cites De Ruiter, ”The distinct wrong of deepfakes,” Philos- ophy & Technology, vol.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks De Ruiter, ”The distinct wrong of deepfakes,” Philos- ophy & Technology, vol

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.243300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7fc5934f-5ffc-46d4-a19b-0630ca1b4fb9 · outbound

This paper cites Vaccari and A.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Vaccari and A

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.231196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03c16fbf-c6a1-4747-abe0-cbe4e7abc366 · outbound

This paper cites Afchar, V.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Afchar, V

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.220300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1462f63a-e356-4026-8026-4703b4b0a2e2 · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.209615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation da2031dc-e44b-40d2-a19e-702e148c08fa · outbound

This paper cites Rossler, D.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Rossler, D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T23:14:42.195953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e49f33c-20c0-482f-a726-08774dad38ff · outbound

This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T23:14:41.739729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40973e00-f085-4d58-a181-b41f1bb27238 · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.184298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6c2c4f3c-1cb0-43d9-bc27-da8ab6f9019a · outbound

This paper cites Exposing DeepFake Videos By Detecting Face Warping Artifacts.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Exposing DeepFake Videos By Detecting Face Warping Artifacts

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T23:14:41.748704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fd2f925-3ff9-454b-8a38-df3c47726ecc · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.171612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 198f8f0f-50c0-44cc-ac7a-72bd4622d7bd · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.159549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a543b655-5b6b-4efc-a6eb-e6435891692b · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.147151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 276a7a65-5df9-4f47-a1b5-3f411eea907a · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.133288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d91f6bc-b1bb-4317-bc6a-93256732bebe · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.120577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 350efb72-01df-423e-adb7-3d67423bbaea · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.108699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5565f8fb-750c-4093-996d-bd476ff94949 · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.095456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66c6f53a-63d9-42ce-9fdb-15dd01a0bdf9 · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.083237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71cf694a-ccfb-4ce6-870b-90ab805e323d · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.070934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4bcee6ae-36f6-4805-a510-d88652415611 · outbound

This paper cites The Deepfake Detection Challenge (DFDC) Preview Dataset.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks The Deepfake Detection Challenge (DFDC) Preview Dataset

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T23:14:41.795810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9013443-3426-4478-8301-f9111ad76279 · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks The DeepFake Detection Challenge (DFDC) Dataset

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T23:14:41.817321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8ceb868-329a-450d-a4e8-160b7609beb1 · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.059086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c75b579d-e5d8-4bb5-b43e-cc5c0d001860 · outbound

This paper cites an unresolved cited work.

SFE-Net: Harnessing Biological Principles of Differential Gene Expression for Improved Feature Selection in Deep Learning Networks Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-10T23:14:42.040000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.