Paper Citation Record · LEDGER

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network

As of 17 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2604.23134.

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

pith.paper-citation-record.v1
2604.23134 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T08:39:12.310362Z

measured 42 of 42 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 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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 21acc0a0-3cde-4f96-a71a-4a5609e56f83 · outbound

This paper cites Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Learning 3D Representations of Molecular Chirality with Invariance to Bond Rotations

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.333954Z

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.

Observation ca4d476b-607b-4f24-b1c3-7ffa2e441dd7 · outbound

This paper cites Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.356900Z

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.

Observation e9edda20-948d-40fd-aea6-a1fab2a06d22 · outbound

This paper cites Learning protein sequence embeddings using information from structure.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Learning protein sequence embeddings using information from structure

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.308834Z

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.

Observation 9b5b0ba8-19d5-4d92-b083-20d9242e1abb · outbound

This paper cites A new perspective on building efficient and expressive 3D equivariant graph neural networks.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network A new perspective on building efficient and expressive 3D equivariant graph neural networks

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.282484Z

Source-reported events for the cited work

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Observation 1d6ac80d-feb2-451a-b3dc-71c880d83207 · outbound

This paper cites Aosong Feng, Chenyu You, Shiqiang Wang, and Leandros Tassiulas.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Aosong Feng, Chenyu You, Shiqiang Wang, and Leandros Tassiulas

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-08T22:34:20.432540Z

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.

Observation e91f174b-6e84-42fd-9e89-a97d6a9bbfb8 · outbound

This paper cites A foundation model for protein-ligand affinity prediction through jointly optimizing virtual screening and hit-to-lead optimization.bioRxiv, pp.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network A foundation model for protein-ligand affinity prediction through jointly optimizing virtual screening and hit-to-lead optimization.bioRxiv, pp

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.745304Z

Source-reported events for the cited work

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Observation be28039c-5957-4ca3-beea-c4677271a2d5 · outbound

This paper cites Protein-ligand binding representation learning from fine-grained interactions.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Protein-ligand binding representation learning from fine-grained interactions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.750559Z

Source-reported events for the cited work

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Observation 810b6b18-56b6-4957-b022-2c192f2cc2d7 · outbound

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

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network PiFold: Toward effective and efficient protein inverse folding

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.274347Z

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Observation d184bff3-74ed-4404-a4db-8d2db459bf40 · outbound

This paper cites Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.348644Z

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.

Observation ddbe472e-448c-4b01-9d5d-5128dcc27cda · outbound

This paper cites De Novo Molecular Generation via Connection-aware Motif Mining.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network De Novo Molecular Generation via Connection-aware Motif Mining

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.383924Z

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.

Observation 53bbaf16-05f2-41eb-9d78-9293f8e16eea · outbound

This paper cites Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.289661Z

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.

Observation 16e03820-7249-4bff-85fe-3f99e79384ec · outbound

This paper cites Deep contrastive learning enables genome-wide virtual screening.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Deep contrastive learning enables genome-wide virtual screening

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.754535Z

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.

Observation 4202d72c-deae-42c4-974c-950ea955edb5 · outbound

This paper cites Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Antibody-Antigen Docking and Design via Hierarchical Equivariant Refinement

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.229062Z

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.

Observation a60fad7a-c804-40f5-a9cb-9845e03f1e64 · outbound

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

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Learning from Protein Structure with Geometric Vector Perceptrons

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.223138Z

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.

Observation f20d2d46-0073-4b50-a967-71fa7b3293e7 · outbound

This paper cites Equivariant Graph Neural Networks for 3D Macromolecular Structure.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Equivariant Graph Neural Networks for 3D Macromolecular Structure

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.409682Z

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.

Observation 16a1e439-08c8-4de0-8204-c327d3b23b2a · outbound

This paper cites Conditional Antibody Design as 3D Equivariant Graph Translation.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Conditional Antibody Design as 3D Equivariant Graph Translation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.339134Z

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.

Observation 00f1c96c-e2cf-4d85-abf3-255d44c5a645 · outbound

This paper cites Frequent subgraph discovery.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Frequent subgraph discovery

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.758223Z

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.

Observation 5f7f4cd9-cb82-4519-8ffb-0ae0b5c6c8a6 · outbound

This paper cites Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.258362Z

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.

Observation a6e52bf1-a977-4d22-902d-f1ea70149079 · outbound

This paper cites Antigen-specific antibody design and optimization with diffusion-based generative models.bioRxiv, pp.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Antigen-specific antibody design and optimization with diffusion-based generative models.bioRxiv, pp

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.193059Z

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.

Observation 5a17d346-41d2-4541-9f4a-9fc6ec6decf0 · outbound

This paper cites Large-scale assessment of binding free energy calculations in active drug discovery projects.Journal of Chemical Information and Modeling, 60(11):5457–5474.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Large-scale assessment of binding free energy calculations in active drug discovery projects.Journal of Chemical Information and Modeling, 60(11):5457–5474

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.181336Z

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.

Observation e6bab98c-b896-400e-8354-b4ddc00cec16 · outbound

This paper cites GraphBPE: Molecular Graphs Meet Byte-Pair Encoding.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network GraphBPE: Molecular Graphs Meet Byte-Pair Encoding

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.217949Z

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.

Observation 56d8e463-61be-4f54-86f2-85ad05252158 · outbound

This paper cites Development and evaluation of a deep learning model for protein-ligand binding affinity prediction.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Development and evaluation of a deep learning model for protein-ligand binding affinity prediction

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-04T22:49:48.206072Z

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

Observation 521c769c-4b4e-4b4e-8404-904fc7fbdf9f · outbound

This paper cites TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network TorchMD-NET: Equivariant Transformers for Neural Network based Molecular Potentials

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.328442Z

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

Observation ff48a1b2-144b-4eda-8dc6-b6f867835726 · outbound

This paper cites ATOM3D: Tasks On Molecules in Three Dimensions.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network ATOM3D: Tasks On Molecules in Three Dimensions

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.391361Z

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

Observation 2ce7c879-debd-465d-b354-101db8e1b8a7 · outbound

This paper cites On the art of compiling and using’drug-like’chemical fragment spaces.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network On the art of compiling and using’drug-like’chemical fragment spaces

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.197155Z

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.

Observation 9587aa8f-d7bc-4cbb-9fa1-41a1080e12e8 · outbound

This paper cites GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.210286Z

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.

Observation ae75fe43-a280-4886-b57a-638e7604f5d1 · outbound

This paper cites Pre-training via Denoising for Molecular Property Prediction.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Pre-training via Denoising for Molecular Property Prediction

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:31:14.374590Z

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.

Observation 2e78a73e-fe59-4791-aeeb-be15d5027c5b · outbound

This paper cites medRxiv (2023).https://doi.org/10.1101/2023.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network medRxiv (2023).https://doi.org/10.1101/2023

Reference 28

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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.

Observation 970d043b-b59d-426a-8dc6-d4233ca4559e · outbound

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h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-26T16:48:03.196748Z

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.

Observation 26be5637-2261-450e-b150-9df491e13d16 · outbound

This paper cites The code and models used for evaluation are also publicly accessible and cited in the appendix.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network The code and models used for evaluation are also publicly accessible and cited in the appendix

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.157460Z

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.

Observation ab5ccf94-beed-46b6-9157-0c606aff3390 · outbound

This paper cites The other is the invariant channel, which mainly encodes and predicts embeddings (i.e., H).

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network The other is the invariant channel, which mainly encodes and predicts embeddings (i.e., H)

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.205713Z

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.

Observation e8d41d5e-fdd2-45b6-8cb9-4b62e1a984ec · outbound

This paper cites Inspired by the good performance and trends in joint encoder models, we also adopt a joint encoder architecture.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Inspired by the good performance and trends in joint encoder models, we also adopt a joint encoder architecture

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.192115Z

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.

Observation d5d4e220-213a-47cf-be92-603a5ccc9ff2 · outbound

This paper cites EGNN (Satorras et al., 2021), TorchMD-Net (ET) (Thölke & De Fabritiis, 2022), and LEFTNet (Du et al.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network EGNN (Satorras et al., 2021), TorchMD-Net (ET) (Thölke & De Fabritiis, 2022), and LEFTNet (Du et al

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.175688Z

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.

Observation 7e52838c-0f5b-4bfa-9acd-54d14a35ae61 · outbound

This paper cites We also include atom-level pretrained models, UniMol (Zhou et al., 2023), ProFSA (Gao et al.) and BigBind (Feng et al.).

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network We also include atom-level pretrained models, UniMol (Zhou et al., 2023), ProFSA (Gao et al.) and BigBind (Feng et al.)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.773253Z

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.

Observation f5c68bcd-b1c2-4c71-87f6-ebcae079251e · outbound

This paper cites an unresolved cited work.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-05-26T16:47:40.777017Z

Source-reported events for the cited work

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Observation 2d91bc6e-b5ab-4d43-a3be-80388ae90368 · outbound

This paper cites And the results show p-values <0.005 for these models in both PDBBind and LBA tasks.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network And the results show p-values <0.005 for these models in both PDBBind and LBA tasks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.762481Z

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.

Observation a03d28d6-9eab-4768-b940-9fb262db022c · outbound

This paper cites an unresolved cited work.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-05-26T16:47:40.767988Z

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.

Observation 435dadd2-14ca-4bc9-b433-4f06c3513af3 · outbound

This paper cites Therefore, we trained it for 25 epochs and averaged the last 3 checkpoints for evaluation purposes.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Therefore, we trained it for 25 epochs and averaged the last 3 checkpoints for evaluation purposes

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:31:14.297877Z

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.

Observation c802861e-bad7-4145-a465-aefdca65efbf · outbound

This paper cites Effect of the proposed auxiliary loss.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Effect of the proposed auxiliary loss

Reference 39

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T20:31:14.401693Z

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.

Observation da6e9ebe-dbc1-4d0e-9a4d-7bab179a7d2c · outbound

This paper cites an unresolved cited work.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-05-26T16:48:03.201148Z

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.

Observation af31d20d-ce32-4cf5-9666-4024fdf066f0 · outbound

This paper cites Statistical analysis of fragments in each cluster, as shown in Figure 7, revealed that Cluster 5 exhibited significant chemical specificity.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Statistical analysis of fragments in each cluster, as shown in Figure 7, revealed that Cluster 5 exhibited significant chemical specificity

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:48:03.172731Z

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.

Observation 489cd932-3ec8-457b-9ab1-ccca5b40e31a · outbound

This paper cites Table 13: Molecular Property Prediction Benchmarks from MoleculeNet.

h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network Table 13: Molecular Property Prediction Benchmarks from MoleculeNet

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T16:47:40.741138Z

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.

Pith citing papers

No inbound Pith citation observations are available.