Paper Citation Record · LEDGER

M2oE: Multimodal Collaborative Expert Peptide Model

As of 13 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2411.15208.

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

pith.paper-citation-record.v1
2411.15208 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:49:12.885268Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

23 of 23 outbound references displayed

verified exact0
verified fuzzy15
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 09afa277-6dd3-483e-b977-f027c95335fc · outbound

This paper cites an unresolved cited work.

M2oE: Multimodal Collaborative Expert Peptide Model Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T16:49:13.050271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3aa9d2a7-6b50-44f9-aaf0-392870dbaf53 · outbound

This paper cites Deepmspeptide: peptide detectability prediction using deep learning,.

M2oE: Multimodal Collaborative Expert Peptide Model Deepmspeptide: peptide detectability prediction using deep learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:13.043134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 773437a7-11ae-419b-bf4e-4434d01b9495 · outbound

This paper cites Sequence- based peptide identification, generation, and property prediction with deep learning: a review,.

M2oE: Multimodal Collaborative Expert Peptide Model Sequence- based peptide identification, generation, and property prediction with deep learning: a review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:13.035177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 24c155c5-f5b0-43ad-a1e7-2a420ec9b31d · outbound

This paper cites Explainable deep hypergraph learning modeling the peptide secondary structure prediction,.

M2oE: Multimodal Collaborative Expert Peptide Model Explainable deep hypergraph learning modeling the peptide secondary structure prediction,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:13.027863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c39195e2-3812-4bc9-a2be-5d46c6143264 · outbound

This paper cites Deep learning for novel antimicro- bial peptide design,.

M2oE: Multimodal Collaborative Expert Peptide Model Deep learning for novel antimicro- bial peptide design,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:13.020641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 81064c43-2f55-4afb-83d9-225e8a2f2d93 · outbound

This paper cites Models and data of amplify: a deep learning tool for antimicrobial peptide prediction,.

M2oE: Multimodal Collaborative Expert Peptide Model Models and data of amplify: a deep learning tool for antimicrobial peptide prediction,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:13.013096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a211c931-68f3-49ee-bfd1-788bc25425fa · outbound

This paper cites xdeep-acpep: deep learning method for anticancer peptide activity prediction based on convolutional neural network and multitask learning,.

M2oE: Multimodal Collaborative Expert Peptide Model xdeep-acpep: deep learning method for anticancer peptide activity prediction based on convolutional neural network and multitask learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:13.005754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 666cd7db-bc40-4d35-97b6-a4861f82cfb2 · outbound

This paper cites Finding structure in time,.

M2oE: Multimodal Collaborative Expert Peptide Model Finding structure in time,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.845777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2daa8183-443d-454b-92fe-33f9e80017ab · outbound

This paper cites Long short-term memory,.

M2oE: Multimodal Collaborative Expert Peptide Model Long short-term memory,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.848445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5660b63-018b-4363-95d3-c833d4c8b569 · outbound

This paper cites Bidirectional recurrent neural net- works,.

M2oE: Multimodal Collaborative Expert Peptide Model Bidirectional recurrent neural net- works,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.850956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81d4c851-6372-4466-aa0f-cd05e959f134 · outbound

This paper cites Attention is all you need,.

M2oE: Multimodal Collaborative Expert Peptide Model Attention is all you need,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.853366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed7909b-127f-445e-9f57-a85d6a64b560 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

M2oE: Multimodal Collaborative Expert Peptide Model Semi-Supervised Classification with Graph Convolutional Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.855881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 551d8502-6f51-450d-9b8e-40ca93dfc95a · outbound

This paper cites Efficient prediction of peptide self-assembly through sequential and graphical encoding,.

M2oE: Multimodal Collaborative Expert Peptide Model Efficient prediction of peptide self-assembly through sequential and graphical encoding,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.983382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 147153ca-701e-4266-a337-17dc3f0516f2 · outbound

This paper cites Git-mol: A multi-modal large language model for molecular science with graph, image, and text,.

M2oE: Multimodal Collaborative Expert Peptide Model Git-mol: A multi-modal large language model for molecular science with graph, image, and text,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.976092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 697d1538-e72c-4add-a875-63b23040a926 · outbound

This paper cites Graph mixture of experts: Learning on large-scale graphs with explicit diversity modeling,.

M2oE: Multimodal Collaborative Expert Peptide Model Graph mixture of experts: Learning on large-scale graphs with explicit diversity modeling,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.968755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation cd832dca-6a61-4599-962f-4b6f39e70663 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,.

M2oE: Multimodal Collaborative Expert Peptide Model Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.866782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c64d7294-e1c8-4281-8126-04b3280d923f · outbound

This paper cites Using hierarchi- cal mixture of experts model for fusion of outbreak detection methods,.

M2oE: Multimodal Collaborative Expert Peptide Model Using hierarchi- cal mixture of experts model for fusion of outbreak detection methods,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.957588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1f55f8a-7dca-4c66-9ca3-98c33a004fca · outbound

This paper cites A multimodal mixture-of-experts model for dynamic emotion prediction in movies,.

M2oE: Multimodal Collaborative Expert Peptide Model A multimodal mixture-of-experts model for dynamic emotion prediction in movies,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.949935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 22f94fae-148a-4f11-b45d-e7d1fd14aefa · outbound

This paper cites Mixture- of-experts for biomedical question answering,.

M2oE: Multimodal Collaborative Expert Peptide Model Mixture- of-experts for biomedical question answering,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.942496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a3fa98c5-1228-418f-9a69-4e0b493dac8f · outbound

This paper cites Task-customized mixture of adapters for general image fusion,.

M2oE: Multimodal Collaborative Expert Peptide Model Task-customized mixture of adapters for general image fusion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.934986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b36a4d97-f6d3-4467-a17a-c9c6fb3be034 · outbound

This paper cites Co-modeling the sequential and graphical routes for peptide representation learning,.

M2oE: Multimodal Collaborative Expert Peptide Model Co-modeling the sequential and graphical routes for peptide representation learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.927424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5324a11b-eaff-4afa-8dc1-3f67a94c5867 · outbound

This paper cites Ampep: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest,.

M2oE: Multimodal Collaborative Expert Peptide Model Ampep: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T16:49:12.919487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d76b5307-3997-4de0-880d-773fabe5ee91 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

M2oE: Multimodal Collaborative Expert Peptide Model Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T16:49:12.885268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.