Paper Citation Record · LEDGER

Improving Genomic Models via Task-Specific Self-Pretraining

As of 22 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.17766.

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

pith.paper-citation-record.v1
2506.17766 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:04:14.030812Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

21 of 21 outbound references displayed

verified exact4
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39d9b787-7f4d-4ca7-94b1-f5824f4e13a2 · outbound

This paper cites Never train from scratch: Fair comparison of long-sequence models requires data-driven priors.

Improving Genomic Models via Task-Specific Self-Pretraining Never train from scratch: Fair comparison of long-sequence models requires data-driven priors

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.429520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f6105521-4eca-4f33-bae7-a290342f174d · outbound

This paper cites The nucleotide transformer: Building and evaluating robust foundation models for human genomics.

Improving Genomic Models via Task-Specific Self-Pretraining The nucleotide transformer: Building and evaluating robust foundation models for human genomics

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.925915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4208f6d9-8675-419f-be09-884f7b88df9e · outbound

This paper cites An integrated encyclopedia of dna elements in the human genome.

Improving Genomic Models via Task-Specific Self-Pretraining An integrated encyclopedia of dna elements in the human genome

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.931573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bb847c-dfef-431b-b4e9-1a670479dd97 · outbound

This paper cites Gena-lm: A family of open-source foundational dna language models for long sequences.

Improving Genomic Models via Task-Specific Self-Pretraining Gena-lm: A family of open-source foundational dna language models for long sequences

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.937892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aedbfde-03e6-4cfd-8693-4d3a15fda0f9 · outbound

This paper cites E., Mudge, J.

Improving Genomic Models via Task-Specific Self-Pretraining E., Mudge, J

Reference 5

Resolution: verified exact; doi, observed 2026-08-15T19:04:14.412870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 648bcbfe-708c-45a1-82ad-c32aad6256c4 · outbound

This paper cites Comparing two k-category assignments by a k-category correlation coefficient.

Improving Genomic Models via Task-Specific Self-Pretraining Comparing two k-category assignments by a k-category correlation coefficient

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.948560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ec812b6-75e4-4c4a-a03f-74a300ed936e · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Improving Genomic Models via Task-Specific Self-Pretraining Efficiently modeling long sequences with structured state spaces

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.954561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef6d325-5bd9-4ddc-a6b4-f9e940924fcb · outbound

This paper cites Deep residual learning for image recognition.

Improving Genomic Models via Task-Specific Self-Pretraining Deep residual learning for image recognition

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.378600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 36d98aaa-d2c9-47cb-bda7-97962e1eacf1 · outbound

This paper cites an unresolved cited work.

Improving Genomic Models via Task-Specific Self-Pretraining Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.964636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb61558a-d72b-43fe-abc8-f0519d524058 · outbound

This paper cites R., Snoek, J., and Rinn, J.

Improving Genomic Models via Task-Specific Self-Pretraining R., Snoek, J., and Rinn, J

Reference 10

Resolution: verified exact; doi, observed 2026-08-15T19:04:14.147030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94b7c0da-c3ca-4918-b153-ce2d59d0f8a0 · outbound

This paper cites Downstream datasets make surprisingly good pretraining corpora.

Improving Genomic Models via Task-Specific Self-Pretraining Downstream datasets make surprisingly good pretraining corpora

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.975997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e7bda1c-04ee-4cc5-8c6a-cdf9357a24f3 · outbound

This paper cites Conditional random fields: Probabilistic models for segmenting and labeling sequence data.

Improving Genomic Models via Task-Specific Self-Pretraining Conditional random fields: Probabilistic models for segmenting and labeling sequence data

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.353845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2025a2d6-aa14-4387-a68f-2855f9d29d7b · outbound

This paper cites Neural architectures for named entity recognition.

Improving Genomic Models via Task-Specific Self-Pretraining Neural architectures for named entity recognition

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:13.986058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea0480b3-1ec6-47d7-9ab4-00949683823f · outbound

This paper cites I., Teufel, F., Horlacher, M., Madsen, D., Pultz, D., Winther, O., and Boomsma, W.

Improving Genomic Models via Task-Specific Self-Pretraining I., Teufel, F., Horlacher, M., Madsen, D., Pultz, D., Winther, O., and Boomsma, W

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.333627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8647655a-d9da-4919-adf4-a9a88ceb53aa · outbound

This paper cites W., Sykes, C.

Improving Genomic Models via Task-Specific Self-Pretraining W., Sykes, C

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.306351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f84ffacf-22c9-4a42-b9a5-9faafba8e194 · outbound

This paper cites an unresolved cited work.

Improving Genomic Models via Task-Specific Self-Pretraining Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:14.001706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83959051-eb0b-4d8e-9463-410154eec111 · outbound

This paper cites Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling.

Improving Genomic Models via Task-Specific Self-Pretraining Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:04:14.006794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41dc0e4d-dd78-402e-99ac-930ee8270603 · outbound

This paper cites and Waack, S.

Improving Genomic Models via Task-Specific Self-Pretraining and Waack, S

Reference 18

Resolution: verified exact; doi, observed 2026-08-15T19:04:14.096684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 343aabc9-d33d-47e4-90ad-241bce72d62f · outbound

This paper cites Long range arena : A benchmark for efficient transformers.

Improving Genomic Models via Task-Specific Self-Pretraining Long range arena : A benchmark for efficient transformers

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.274247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 163ecb77-3d4d-4bc5-b4f3-fd995c7fadf5 · outbound

This paper cites K., Pimentel, M.

Improving Genomic Models via Task-Specific Self-Pretraining K., Pimentel, M

Reference 20

Resolution: verified exact; doi, observed 2026-08-15T19:04:14.075740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d8119a0f-360b-46ab-971b-b9b9f8a35948 · outbound

This paper cites Specialized foundation models struggle to beat supervised baselines.

Improving Genomic Models via Task-Specific Self-Pretraining Specialized foundation models struggle to beat supervised baselines

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:04:14.255643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

No inbound Pith citation observations are available.