Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:42:16.420761Z
Paper Citation Record · LEDGER
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction
As of 23 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2506.05427.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
41 of 41 outbound references displayed
- verified exact0
- verified fuzzy34
- unresolved6
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cbdbb47e-8dfa-42a1-8fc2-cb8979cb70db · outbound
This paper cites Proteinbert: a uni- versal deep-learning model of protein sequence and func- tion.Bioinformatics, 38(8):2102–2110,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Proteinbert: a uni- versal deep-learning model of protein sequence and func- tion.Bioinformatics, 38(8):2102–2110,
Reference 1
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c4a6e7d8-dc91-4e7f-b266-f2c01d2a047b · outbound
This paper cites an unresolved cited work.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Unresolved cited work
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f505c6a7-42a3-4496-ac37-d7aabf865983 · outbound
This paper cites Drucker, C.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Drucker, C
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.190700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation eb6700b7-b13c-4e20-956e-c175931a11fd · outbound
This paper cites Evolutionary-scale pre- diction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Evolutionary-scale pre- diction of atomic-level protein structure with a language model.Science, 379(6637):1123–1130,
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 71d46a80-9077-4eb6-8d00-24f04bd52120 · outbound
This paper cites Prollama: A protein large language model for multi-task protein language processing.IEEE Transactions on Artificial Intelligence,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Prollama: A protein large language model for multi-task protein language processing.IEEE Transactions on Artificial Intelligence,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.093326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6df17148-b8db-430d-a80f-086637e6d4c8 · outbound
This paper cites Towards geo- metric normalization techniques in se (3) equivariant graph neural networks for physical dynamics simulations.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Towards geo- metric normalization techniques in se (3) equivariant graph neural networks for physical dynamics simulations
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.081436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8f82049a-c814-4916-86b8-ec27cb409594 · outbound
This paper cites Mordred: a molecular descriptor calculator.Journal of Cheminformat- ics, Dec.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Mordred: a molecular descriptor calculator.Journal of Cheminformat- ics, Dec
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.069406Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ec383a9f-8e50-41a2-8c18-8e121d4df57c · outbound
This paper cites Hunting for peptide binders of spe- cific targets with data-centric generative language models.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Hunting for peptide binders of spe- cific targets with data-centric generative language models
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.057313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 27c50121-9e8c-4d37-851e-38d39b507f96 · outbound
This paper cites Acgcn: Graph convolutional networks for activity cliff prediction be- tween matched molecular pairs.Journal of Chemical In- formation and Modeling, 62(10):2341–2351,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Acgcn: Graph convolutional networks for activity cliff prediction be- tween matched molecular pairs.Journal of Chemical In- formation and Modeling, 62(10):2341–2351,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.045100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 78bd2a77-bb33-42ca-bf07-8ffafac8dc5c · outbound
This paper cites Quantitative evaluation of explainable graph neural networks for molecular property prediction.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Quantitative evaluation of explainable graph neural networks for molecular property prediction
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.032376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4cc0a332-37b5-45e1-b1e8-82da5f8b39b0 · outbound
This paper cites Self-supervised graph transformer on large-scale molecular data.arXiv: Biomolecules,arXiv: Biomolecules, Jun.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Self-supervised graph transformer on large-scale molecular data.arXiv: Biomolecules,arXiv: Biomolecules, Jun
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:20.890497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 189a5491-a5ba-4adc-a18e-577ce1dc28dc · outbound
This paper cites Saprot: Protein language modeling with structure-aware vocabulary, Oct.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Saprot: Protein language modeling with structure-aware vocabulary, Oct
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:20.293524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 25cf8d71-48b6-40fb-a953-619f619e668a · outbound
This paper cites [Van Tilborget al., 2022] Derek Van Tilborg, Alisa Alenicheva, and Francesca Grisoni.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction [Van Tilborget al., 2022] Derek Van Tilborg, Alisa Alenicheva, and Francesca Grisoni
Reference 23
- Resolution
- malformed identifier
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d205a57d-9a19-4144-a6ca-a256b49d275f · outbound
This paper cites Springer Science & Business Media,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Springer Science & Business Media,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:19.857810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 75b0d256-8348-469e-a527-b4a9b109bd7f · outbound
This paper cites Bryant, Tiejun Cheng, Jiyao Wang, Asta Gindulyte, Benjamin A.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Bryant, Tiejun Cheng, Jiyao Wang, Asta Gindulyte, Benjamin A
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:19.439617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 003e2a1a-003d-47b4-b04f-03853b300432 · outbound
This paper cites an unresolved cited work.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:42:19.226192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7c0eaeef-ba05-47d6-8749-c9c817e2ee37 · outbound
This paper cites Representing long-range context for graph neu- ral networks with global attention.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Representing long-range context for graph neu- ral networks with global attention
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:18.966552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 23d5c7ae-d8a9-4187-af41-f8923c3caa1d · outbound
This paper cites Re- thinking text-based protein understanding: Retrieval or llm?,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Re- thinking text-based protein understanding: Retrieval or llm?,
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:18.725252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2e0d8e77-1896-4cde-9959-a8710557300c · outbound
This paper cites A semi-supervised molecular learning framework for activity cliff estimation.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction A semi-supervised molecular learning framework for activity cliff estimation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:18.521578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f8de92bb-26e8-438e-9a73-711679d076cd · outbound
This paper cites an unresolved cited work.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Unresolved cited work
Reference 32
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation be29367a-a21b-46f1-9e92-1900dbc16f5d · outbound
This paper cites An image-enhanced molecular graph representation learn- ing framework.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction An image-enhanced molecular graph representation learn- ing framework
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:18.187681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ee9a25a4-d5e8-42f2-9e77-7e4b5590de3a · outbound
This paper cites Deepprotein: Deep learning library and benchmark for protein sequence learning,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Deepprotein: Deep learning library and benchmark for protein sequence learning,
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:17.953465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6ebe9cf0-fec8-4dd3-9d84-a5446e240dbf · outbound
This paper cites an unresolved cited work.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:42:17.719112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 448fd19d-3df4-43ab-9a0a-5cf782c4a28f · outbound
This paper cites How powerful are graph neural net- works? InInternational Conference on Learning Rep- resentations,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction How powerful are graph neural net- works? InInternational Conference on Learning Rep- resentations,
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:17.496048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 15dc3c41-18ef-4232-9c31-1b3942418c9a · outbound
This paper cites A pre-trained multi-representation fusion network for molecular property prediction.Infor- mation Fusion, 103:102092,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction A pre-trained multi-representation fusion network for molecular property prediction.Infor- mation Fusion, 103:102092,
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:17.084266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 38d48139-7a9f-4bbd-9890-512c24286daa · outbound
This paper cites Semignn-ppi: Self-ensembling multi-graph neural network for efficient and generalizable protein-protein in- teraction prediction,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Semignn-ppi: Self-ensembling multi-graph neural network for efficient and generalizable protein-protein in- teraction prediction,
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:16.916991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 73fa5d0a-a972-4e13-8f1b-6bc3818ac5f9 · outbound
This paper cites Cross- view contrastive fusion for enhanced molecular property prediction.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Cross- view contrastive fusion for enhanced molecular property prediction
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:16.735663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 81c5041b-0c8e-4f75-a23f-7ee91ea3e6f9 · outbound
This paper cites Molhf: A hierarchical normalizing flow for molecular graph generation, 2023.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Molhf: A hierarchical normalizing flow for molecular graph generation, 2023
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:16.601000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e398da12-1a41-4b8e-a346-1be2dc3e1269 · outbound
This paper cites Mmgnn: A molecular merged graph neural network for explainable solvation free energy prediction.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Mmgnn: A molecular merged graph neural network for explainable solvation free energy prediction
Reference 1996
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.178495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 12b25101-5e47-4fc2-97c1-1bb18f23f881 · outbound
This paper cites Graph Attention Networks.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Graph Attention Networks
Reference 2009
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0e7e45a-3e43-4365-a8b7-ba407150943f · outbound
This paper cites Admetlab: a platform for sys- tematic admet evaluation based on a comprehensively col- lected admet database.Journal of Cheminformatics, 10(1), Dec.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Admetlab: a platform for sys- tematic admet evaluation based on a comprehensively col- lected admet database.Journal of Cheminformatics, 10(1), Dec
Reference 2010
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.202712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2aa00479-ca6e-425b-b412-ac69e1b5714b · outbound
This paper cites Austin, David G.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Austin, David G
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:19.650883Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 02bca40e-39e8-4b7e-83a5-28564b515821 · outbound
This paper cites Glpocket: A multi-scale representation learning approach for protein binding site prediction.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Glpocket: A multi-scale representation learning approach for protein binding site prediction
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.118356Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 919d0886-04a6-4a00-8779-f783cb071f00 · outbound
This paper cites Deepac – conditional transformer-based chem- ical language model for the prediction of activity cliffs formed by bioactive compounds.Digital Discovery, 1(6):898–909,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Deepac – conditional transformer-based chem- ical language model for the prediction of activity cliffs formed by bioactive compounds.Digital Discovery, 1(6):898–909,
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.227487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6b610f89-5390-4128-8220-71ccb2c5ec6f · outbound
This paper cites Gpmo: Gradient perturbation-based contrastive learning for molecule optimization.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Gpmo: Gradient perturbation-based contrastive learning for molecule optimization
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:17.290144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 92b7d62a-0dc9-4d31-9f2e-39d46e761ba1 · outbound
This paper cites Dynamic many-objective molecular optimization: Unfolding com- plexity with objective decomposition and progressive opti- mization.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Dynamic many-objective molecular optimization: Unfolding com- plexity with objective decomposition and progressive opti- mization
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:20.557857Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 163e5edb-2f1e-4dc3-b1e5-4f3bde1dc120 · outbound
This paper cites Kipf and Max Welling.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Kipf and Max Welling
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.130095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 89153fbf-99f8-4ac2-bc36-732bf8f6375c · outbound
This paper cites Butler, Daniel W.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Butler, Daniel W
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.239744Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d20792fd-7529-4711-8705-cbfe9a9db2df · outbound
This paper cites Ae-nerf: Augmenting event-based neural radiance fields for non-ideal conditions and larger scene,.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Ae-nerf: Augmenting event-based neural radiance fields for non-ideal conditions and larger scene,
Reference 2023
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.154295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 83b8c186-5b11-472a-8392-3599ae2593a4 · outbound
This paper cites an unresolved cited work.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Unresolved cited work
Reference 2024
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:42:21.166044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ccaec374-1604-451a-b195-66618627c05e · outbound
This paper cites Iqbal, M.
MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Iqbal, M
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:42:21.142207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.