Paper Citation Record · LEDGER

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design

As of 13 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.17795.

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

pith.paper-citation-record.v1
2411.17795 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:57:15.552880Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 7ed6a9d1-c5bf-4bb7-b85b-e6d90b6bcce3 · outbound

This paper cites Robust deep learning–based protein sequence design using proteinmpnn.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Robust deep learning–based protein sequence design using proteinmpnn

Reference 1

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Observation e37d7ce2-4b66-456b-b4fe-112f1e3cebce · outbound

This paper cites AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design AlphaDesign: A graph protein design method and benchmark on AlphaFoldDB

Reference 2

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Observation 67282ffd-27c0-4c3c-96b5-6d0e17bb5b1a · outbound

This paper cites PiFold: Toward effective and efficient protein inverse folding.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design PiFold: Toward effective and efficient protein inverse folding

Reference 3

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Observation f334504b-3e5e-432f-997d-9b6978c428cb · outbound

This paper cites Self-mutual distillation learning for continuous sign language recognition.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Self-mutual distillation learning for continuous sign language recognition

Reference 4

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Observation 5fb7f928-f272-4128-aba5-3071a1be40c8 · outbound

This paper cites Learning inverse folding from millions of predicted structures.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Learning inverse folding from millions of predicted structures

Reference 5

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Observation 34e529b0-0d0c-438a-814e-a82d6a421736 · outbound

This paper cites Learning complete protein representation by deep coupling of sequence and structure.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Learning complete protein representation by deep coupling of sequence and structure

Reference 6

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Observation ccafb3c3-34fd-4243-9588-860d9c7b853d · outbound

This paper cites Protein Language Models and Structure Prediction: Connection and Progression.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Protein Language Models and Structure Prediction: Connection and Progression

Reference 7

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Observation 15b1a4b3-0cf2-432f-918c-669a33589de5 · outbound

This paper cites Protein 3d graph structure learning for robust structure-based protein property prediction.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Protein 3d graph structure learning for robust structure-based protein property prediction

Reference 8

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Observation 074acbe7-6acb-4891-b517-ce70d8fd2a93 · outbound

This paper cites Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Data-Efficient Protein 3D Geometric Pretraining via Refinement of Diffused Protein Structure Decoy

Reference 9

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Observation 0b11ad91-8539-4e61-9806-e9d7011ad937 · outbound

This paper cites Generative models for graph-based protein design.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Generative models for graph-based protein design

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:57:16.194902Z

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Observation fcb2a79e-ab80-475f-ae9d-7d3fe821e834 · outbound

This paper cites Learning from Protein Structure with Geometric Vector Perceptrons.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Learning from Protein Structure with Geometric Vector Perceptrons

Reference 11

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Observation 8d1377ff-fde8-48ef-9c74-a6f4bf0f26aa · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Highly accurate protein structure prediction with alphafold

Reference 12

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Observation 1c11e869-e5ab-4110-9c7d-e33b1b9beafb · outbound

This paper cites Technical approaches to chinese sign language processing: a review.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Technical approaches to chinese sign language processing: a review

Reference 13

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Observation feea368f-ae07-4a7b-80c2-baaeb651e0a0 · outbound

This paper cites Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profiles.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profiles

Reference 14

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Observation 6f5997c3-6117-4a87-96a8-f5d71c8419fd · outbound

This paper cites Language models of protein sequences at the scale of evolution enable accurate structure prediction.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Language models of protein sequences at the scale of evolution enable accurate structure prediction

Reference 15

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Observation 7a531ab0-7311-4a99-8530-9e4e07c7479d · outbound

This paper cites Machine learning-aided engineering of hydrolases for pet depolymerization.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Machine learning-aided engineering of hydrolases for pet depolymerization

Reference 16

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Observation eeb2859f-c323-4985-8391-4afeacacc2e8 · outbound

This paper cites Language models enable zero-shot prediction of the effects of mutations on protein function.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Language models enable zero-shot prediction of the effects of mutations on protein function

Reference 17

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Observation 4d186dcc-c3bc-4065-8662-95905129cc5a · outbound

This paper cites Proteingym: Large-scale benchmarks for protein design and fitness prediction.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Proteingym: Large-scale benchmarks for protein design and fitness prediction

Reference 18

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Observation ce22478b-ffeb-48c4-9d1d-297c40047fcb · outbound

This paper cites Spin2: Predicting sequence profiles from protein structures using deep neural networks.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Spin2: Predicting sequence profiles from protein structures using deep neural networks

Reference 19

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Observation e84eefff-e0ba-40d9-9732-40f22afdebfc · outbound

This paper cites Learning transferable visual models from natural language supervision.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Learning transferable visual models from natural language supervision

Reference 20

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Observation d0a52d08-e8a8-4f1b-a949-d45d7f45f5c8 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 21

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Observation 2c0d3d96-676f-45da-8208-dbc2c682c1ac · outbound

This paper cites Transformer protein language models are unsupervised structure learners.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Transformer protein language models are unsupervised structure learners

Reference 22

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Observation a5d4d48d-6c4e-414d-9168-61729fc714e6 · outbound

This paper cites Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Reference 23

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Observation 04b4f8b1-eb31-4615-bc8c-01cf34b3cb8d · outbound

This paper cites Generative De Novo Protein Design with Global Context.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Generative De Novo Protein Design with Global Context

Reference 24

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Observation ffe37b98-b1a9-4d6c-a060-2dae186ed31f · outbound

This paper cites A document-level neural machine translation model with dynamic caching guided by theme-rheme information.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design A document-level neural machine translation model with dynamic caching guided by theme-rheme information

Reference 25

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Observation 5ca15847-0e1f-4da7-864e-da4aa5863290 · outbound

This paper cites Attention is all you need.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Attention is all you need

Reference 26

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Observation 53de27d2-6bc6-435a-ad58-a57f10cb4321 · outbound

This paper cites Fuzzy slic: Fuzzy simple linear iterative clustering.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Fuzzy slic: Fuzzy simple linear iterative clustering

Reference 27

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This paper cites Discognn: A sample-efficient framework for self-supervised graph representation learning.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Discognn: A sample-efficient framework for self-supervised graph representation learning

Reference 28

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Observation 5695f8af-9c53-46de-bb54-e573d41b153d · outbound

This paper cites Understand- ing the limitations of deep models for molecular property prediction: Insights and solutions.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Understand- ing the limitations of deep models for molecular property prediction: Insights and solutions

Reference 29

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Observation 05a51306-f1b9-4100-b61b-f7e554abb87c · outbound

This paper cites Enhancing neural sign language translation by highlighting the facial expression information.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Enhancing neural sign language translation by highlighting the facial expression information

Reference 30

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Observation 31351082-c91f-4247-a326-6ec4fed531dc · outbound

This paper cites Progressive Multi-Modality Learning for Inverse Protein Folding.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Progressive Multi-Modality Learning for Inverse Protein Folding

Reference 31

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Observation 988e98e5-5226-4dff-a5b9-11b4c6f49910 · outbound

This paper cites Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation

Reference 32

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This paper cites Progressive multi-modality learning for inverse protein folding.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Progressive multi-modality learning for inverse protein folding

Reference 33

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Observation 08c443c3-d2a4-4bc6-8786-2eeba1bd238f · outbound

This paper cites CCPL: Cross-modal Contrastive Protein Learning.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design CCPL: Cross-modal Contrastive Protein Learning

Reference 34

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Observation dd97f496-5be3-4138-9e17-57d2d4fd777b · outbound

This paper cites Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment

Reference 35

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This paper cites Using context-to-vector with graph retrofitting to improve word embeddings.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Using context-to-vector with graph retrofitting to improve word embeddings

Reference 36

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Observation 9bdf0b0b-ae33-4e3f-9ee1-79112a83b0f1 · outbound

This paper cites Metaenzyme: Meta pan-enzyme learning for task-adaptive redesign.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design Metaenzyme: Meta pan-enzyme learning for task-adaptive redesign

Reference 37

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This paper cites An improved sign language translation model with explainable adaptations for processing long sign sentences.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design An improved sign language translation model with explainable adaptations for processing long sign sentences

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T11:57:15.548358Z

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Observation 82fb159b-d5eb-4cd4-b018-5671f3745ea0 · outbound

This paper cites C2slr: Consistency-enhanced continuous sign language recognition.

Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design C2slr: Consistency-enhanced continuous sign language recognition

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:57:15.828562Z

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Pith citing papers

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