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Paper Citation Record · LEDGER

Genomic Language Models: Opportunities and Challenges

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2407.11435.

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

pith.paper-citation-record.v1
2407.11435 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:49:47.828645Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-08T18:16:14.154549Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7d439bc6-117b-49c6-a98d-c37c99a3852c · inbound

Deciphering genomic codes using advanced NLP techniques: a scoping review cites this paper.

Deciphering genomic codes using advanced NLP techniques: a scoping review Genomic Language Models: Opportunities and Challenges

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T13:35:41.201998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:35:41.201998Z digest=sha256:85785fb44392447c0b06602113aa9f28fbe99b83b95505ee52a40a972c558a07

Observation 4c69718a-04b9-465e-821b-c6cc833ccd7b · inbound

LLaMA-Gene: A General-purpose Gene Task Large Language Model Based on Instruction Fine-tuning cites this paper.

LLaMA-Gene: A General-purpose Gene Task Large Language Model Based on Instruction Fine-tuning Genomic Language Models: Opportunities and Challenges

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T05:24:54.786221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:24:54.786221Z digest=sha256:d6c5f1824f82cbf026a33b6ec7636a8396c4968915e12f0581b5b3fea03135a2

Observation 49056a99-540a-461c-8b1c-d2cdc41993cf · inbound

Can linguists better understand DNA? cites this paper.

Can linguists better understand DNA? Genomic Language Models: Opportunities and Challenges

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T18:39:04.017223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:39:04.017223Z digest=sha256:64ce3340ee1c81aa0c7cb92abe06366ecab07fffb362855eaa2d7cfbbf998bd6

Observation 695b1b87-6d61-4298-b09f-98076e0bb3b5 · inbound

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.

Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Genomic Language Models: Opportunities and Challenges

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T14:59:01.186593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:59:01.186593Z digest=sha256:d2c54645c34a881a29b7a71d17052cfa75bce7863445d597090be04f6f251f21

Observation 748d707e-5eb1-4b22-a007-b387ea3495d1 · inbound

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring cites this paper.

METAGENE-1: Metagenomic Foundation Model for Pandemic Monitoring Genomic Language Models: Opportunities and Challenges

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:23.531777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:18:23.531777Z digest=sha256:81b0442208bc8802b6bdc24f8c7719e8ab1fa2dc3879bb0904fd0969599145b2

Observation 06193e8c-1093-4c3c-9a26-ef705275e4dc · inbound

Human Genome Book: Words, Sentences and Paragraphs cites this paper.

Human Genome Book: Words, Sentences and Paragraphs Genomic Language Models: Opportunities and Challenges

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T16:17:22.363002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:17:22.363002Z digest=sha256:3d772d9c8a967140aeb733084b8dd8731790ba3deb845e9c3c0fda35217cea7d

Observation 8161f381-f857-4346-b7b9-12116313f37a · inbound

Find Central Dogma Again: Leveraging Multilingual Transfer in Large Language Models cites this paper.

Find Central Dogma Again: Leveraging Multilingual Transfer in Large Language Models Genomic Language Models: Opportunities and Challenges

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T16:17:55.293128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-08T16:17:55.200689Z digest=sha256:041370cc8bac2b2a31c92bcbf467cc1583718c509a1959ea9a782d6a311258d4

Observation 7ba03067-a6f4-400f-b406-0617a144622d · inbound

When repeats drive the vocabulary: a Byte-Pair Encoding analysis of T2T primate genomes cites this paper.

When repeats drive the vocabulary: a Byte-Pair Encoding analysis of T2T primate genomes Genomic Language Models: Opportunities and Challenges

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-15T21:49:47.828645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:49:47.828645Z digest=sha256:8fe769e6efec5095493782a9e85e5258eba784497f95de3a1407891975a77be8

Observation 2a1215de-d33a-4002-8763-81b83db986f6 · inbound

Foundation Models for AI-Enabled Biological Design cites this paper.

Foundation Models for AI-Enabled Biological Design Genomic Language Models: Opportunities and Challenges

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T20:54:23.746030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:54:23.746030Z digest=sha256:73980d95c443f5d01b7777db49201114c478a03ec5e3ae8ca1b820ef14a4c440