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Paper Citation Record · LEDGER

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning

As of 19 August 2026, this Paper Citation Record lists 94 of 94 outbound references and 0 inbound Pith citation observations for arXiv:2608.06727.

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

pith.paper-citation-record.v1
2608.06727 v2

Coverage vector

measured 94 of 94 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:20:20.038294Z

measured 94 of 94 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

94 of 94 outbound references displayed

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External citation measurements

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Outbound references

Observation a1a872cb-4aa4-4909-8da0-ef8eac55c5d9 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 1

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Observation dddf22c4-8f77-45f4-9a87-e78678a19e05 · outbound

This paper cites Machine Learning , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Machine Learning , volume=

Reference 2

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Observation 07e5fadd-2c5e-4505-8024-a7d9f727f6cf · outbound

This paper cites Communications Biology , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Communications Biology , volume=

Reference 3

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Observation a1ac20fe-5de8-48f6-a364-c1b225e579c3 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Proceedings of the National Academy of Sciences , volume=

Reference 4

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Observation ab478397-701c-4508-8e55-3938d44377d3 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Learning Representations (ICLR) , year=

Reference 5

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Observation d64103cc-59c6-4486-bd13-f05a0a92e761 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 6

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Observation 41e04c0d-2e05-4ce0-8deb-72d24b53fe35 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 7

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Observation 4fa8dee8-8813-40f4-82d7-be22b5dafeca · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Advances in Neural Information Processing Systems , volume=

Reference 8

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Observation 5dc6a106-a18c-4e60-841f-b3ee9bdd0356 · outbound

This paper cites Mixture-of-Depths: Dynamically allocating compute in transformer-based language models.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Reference 9

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Observation b4b90334-6a2f-4ed6-9316-23150ad32a6a · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Learning Representations (ICLR) , year=

Reference 10

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Observation d168dd07-88ca-455d-98ef-3a4befa97aad · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Machine Learning (ICML) , year=

Reference 11

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Observation 1b6b10e3-e35c-4f1a-adfe-ec5053334447 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Adaptive Computation Time for Recurrent Neural Networks

Reference 12

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Observation 5973efb5-041f-4a1f-9d15-d717d3c42460 · outbound

This paper cites Linformer: Self-Attention with Linear Complexity.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Linformer: Self-Attention with Linear Complexity

Reference 13

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Observation a5319835-033f-498c-8bae-4fa99062d1c7 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Learning Representations (ICLR) , year=

Reference 14

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Observation 9a11c540-ffeb-4e12-a7af-76e30b489786 · outbound

This paper cites omformer: A Nystr\.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning omformer: A Nystr\

Reference 15

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Observation 99bdf169-9da7-43dc-ad11-87a5895fccad · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Learning Representations (ICLR) , year=

Reference 16

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Observation 38141f31-e053-4873-bd08-37747e06f312 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Machine Learning (ICML) , year=

Reference 17

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Observation 9acbf704-1aaa-4fe6-b53f-da008b65a86a · outbound

This paper cites scGPT: Toward Building a Foundation Model for Single-Cell Multi-omics Using Generative.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning scGPT: Toward Building a Foundation Model for Single-Cell Multi-omics Using Generative

Reference 18

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Observation 031c82f4-56d3-419a-8277-dbcec964e915 · outbound

This paper cites Nature Methods , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Methods , volume=

Reference 19

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Observation ea75716e-b3bb-4bdb-a850-d783d591c2d1 · outbound

This paper cites Nature , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature , volume=

Reference 20

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Observation 37466325-0c85-43f0-bc18-96ff86f45294 · outbound

This paper cites International Conference on Machine Learning (ICML) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Machine Learning (ICML) , year=

Reference 21

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Observation 4140b0d6-1f01-4420-ad5c-1e0102d2733b · outbound

This paper cites Nature Communications , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Communications , volume=

Reference 22

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Observation 59f5d0cb-a1f8-4fe6-b47c-1348a468f078 · outbound

This paper cites Nature Communications , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Communications , volume=

Reference 23

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Observation cdb00f26-61e5-4c3f-b20e-e550e3ed56f0 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Biotechnology , volume=

Reference 24

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Observation d2afe880-bb76-4b96-9086-03aa0ada3e27 · outbound

This paper cites CellMarker 2.0: An Updated Database of Manually Curated Cell Markers in Human/Mouse and Web Tools Based on.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning CellMarker 2.0: An Updated Database of Manually Curated Cell Markers in Human/Mouse and Web Tools Based on

Reference 25

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Observation 6f1a625d-2e07-4a5a-b834-8b94d80dc8ab · outbound

This paper cites PanglaoDB: A Web Server for Exploration of Mouse and Human Single-cell.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning PanglaoDB: A Web Server for Exploration of Mouse and Human Single-cell

Reference 26

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Observation e63c2ed6-94b8-4e56-9be6-5626d99af3cd · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nucleic Acids Research , volume=

Reference 27

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Genetics , volume=

Reference 28

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and Craft, Brian and Hastie, Mim and Repe

Reference 29

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Observation d5612bd7-dd94-4cad-ba7a-e17cd37976ad · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Science , volume=

Reference 30

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 31

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning eLife , volume=

Reference 32

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Current Best Practices in Single-cell

Reference 33

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature , volume=

Reference 35

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Integrating Gene Regulatory Priors into Transformer Attention with

Reference 36

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 37

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Observation 2b6cabd2-adfe-4c3e-82db-bb79d781d7a1 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning GeneMamba: An Efficient and Effective Foundation Model on Single Cell Data

Reference 38

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Observation 8067bbea-8189-4bca-96c5-e0e94b5f56d0 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 39

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Observation 490b2c15-9d48-46da-a425-5b06b07733f7 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning arXiv preprint arXiv:2602.16696 , year=

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Observation bfe9ef14-3073-403e-a808-c4ff393d0716 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Methods , volume=

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Observation 820f9099-87e0-4d36-b5a6-648153536cc4 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning European Conference on Computer Vision (ECCV) , year=

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Observation 5f8902e7-4630-403b-a5fb-0159fb6b1b91 · outbound

This paper cites 2024 , doi=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning 2024 , doi=

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Observation c4c6c263-8ed3-4df4-a251-3ff5ae5234e9 · outbound

This paper cites Improving Recursive Transformers with Mixture of.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Improving Recursive Transformers with Mixture of

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Observation 0f4fef12-d3b3-4adc-b574-c2a7f5aeb13d · outbound

This paper cites Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Ouroboros: Dynamic Weight Generation for Recursive Transformers via Input-Conditioned

Reference 45

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Observation f3ef15fe-38ce-492e-8b78-834e617430b1 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

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Observation d0d71d20-b65a-4552-834f-b96fafaf9dcd · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 47

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Observation c0c31402-6f42-4530-9a99-b61498d0ad46 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 48

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Observation 8d6012c8-6a5c-4ff3-8358-8b82f40ae123 · outbound

This paper cites Nature Machine Intelligence , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Machine Intelligence , volume=

Reference 49

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Observation 39319000-ece1-42b0-a1a4-b6e8b432700d · outbound

This paper cites Nature , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature , year=

Reference 50

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Observation dce2a95f-e8ba-4f76-b49a-8ec1226c32b0 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 51

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Observation a86c160b-d8ea-4a87-b82c-b11f350d64a3 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 52

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Observation 0d2c259e-e7ca-41ae-b15a-6a45467a0ef5 · outbound

This paper cites iScience , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning iScience , volume=

Reference 53

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Observation 70ed5c1e-bcd0-47a9-8b52-875bf0b2e0cf · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 54

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Observation c995ccfe-1a81-453b-8d17-35179d91edae · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 55

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Observation a281adc3-066e-4e54-8d2b-37da7a523404 · outbound

This paper cites bioRxiv , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning bioRxiv , year=

Reference 56

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Observation 65b4c855-3660-463d-93a2-0481258fce5b · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 57

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Observation 5fbb2c60-4288-4a5a-b98f-c4569ad21938 · outbound

This paper cites Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM) , year=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM) , year=

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Observation 021c8bb0-f19c-4c55-8153-555192e2d774 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 59

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Observation 1dda9d4c-3cd2-41e0-b655-5fa14faf0914 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 60

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Observation d38bf9e2-3e4c-4216-b6f3-c82ac1e46618 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Genome Biology , volume=

Reference 61

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Observation a966067a-85f9-476a-8d5b-74603bb0ff0f · outbound

This paper cites Cell , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Cell , volume=

Reference 62

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Observation 5b28cf3a-fa3f-4978-bd4f-41abebd9faf8 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 63

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Observation 73c96503-3342-48bb-9310-9b47f36fd7a1 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 64

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Observation 226b6d3b-246b-499a-bf8d-1278fd847f23 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 65

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Observation 3c04ce36-4199-4dad-9931-9098ceef297a · outbound

This paper cites Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Sparsity is All You Need: Rethinking Biological Pathway-Informed Approaches in Deep Learning

Reference 66

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Observation c0c8bc5f-66c3-4680-8886-08807d5c0a02 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Bioinformatics , volume=

Reference 67

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Observation 4aed8d65-ea41-4cb4-8c62-594e40f278cc · outbound

This paper cites Oncogene , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Oncogene , volume=

Reference 68

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Observation 7ce1d70a-37e0-4890-b597-2540e319c175 · outbound

This paper cites an unresolved cited work.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 69

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Observation d9be645d-24db-4845-83c6-7effbfee3f3e · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Experimental & Molecular Medicine , volume=

Reference 70

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Observation 2f986924-0fa0-47f9-a0a7-da8108e83d4e · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Reviews Cancer , volume=

Reference 71

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Observation ea90b575-7abe-4205-93a5-295ff7adcccf · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Oncogene , volume=

Reference 72

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Observation b44d1a93-9c43-4db4-b111-fd50042435bf · outbound

This paper cites Tiffany and Palmieri, Diane and Qian, Yongzhen and Badve, Sunil and Sledge, George and Gril, Brunilde and Aladjem, Mirit I.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Tiffany and Palmieri, Diane and Qian, Yongzhen and Badve, Sunil and Sledge, George and Gril, Brunilde and Aladjem, Mirit I

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Observation 0a7689c0-98cb-4e2d-b666-9c88b0094809 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and Hicks, David J

Reference 74

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Observation d9b08174-1fcb-4bbd-9da4-88325d97deaf · outbound

This paper cites Oncotarget , volume=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Oncotarget , volume=

Reference 75

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Observation a198f5e8-310b-4238-a452-92020a1bd42d · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and Chiang, Anne C

Reference 76

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Observation 76aa2ee2-56f7-4e30-b8a6-300136933579 · outbound

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Reference 77

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Observation 623f66d4-8b9d-4477-b7eb-99c2e77da9d5 · outbound

This paper cites and others , journal=.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and others , journal=

Reference 78

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Observation 4d0db192-6c7b-496e-a0da-624d25acaf5a · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Reviews Cancer , volume=

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Observation 5c325090-e395-4d40-a6b5-1915749be7e2 · outbound

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Reference 80

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Observation a34d239b-813e-4ff9-ade6-a305220f7df2 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and others , journal=

Reference 81

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Reference 82

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 83

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Observation 53641cc8-c131-4f18-a58c-7030c8aafc68 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Unresolved cited work

Reference 84

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and Pfister, Tomas , booktitle=

Reference 85

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Reference 86

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Journal of Open Source Software , volume=

Reference 87

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning International Conference on Learning Representations (ICLR) , year=

Reference 88

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Statistics in Medicine , volume=

Reference 89

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Observation bb161e5a-5b0e-4edd-9318-854da0a2c86e · outbound

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Reference 90

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Observation 69d4c586-b003-4b28-8261-6be8031465fb · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Science , volume=

Reference 91

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Observation 4caa9bdb-6f32-46c6-b1a5-937eee4865d3 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Nature Reviews Genetics , volume=

Reference 92

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Observation e4e7cd89-0a1b-47e2-948b-c0d997fcfb46 · outbound

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning and Etzioni, Oren , journal=

Reference 93

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Observation 4531cfbe-59e9-4ed2-ab1c-f38e45a274f7 · outbound

This paper cites Graph Transformer-Based Pathway Embedding for Cancer Prognosis.

bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Graph Transformer-Based Pathway Embedding for Cancer Prognosis

Reference 94

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bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning Understanding intermediate layers using linear classifier probes

Reference 95

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Pith citing papers

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