Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T12:01:48.988765Z
Paper Citation Record · LEDGER
Learning Chemical Reaction Representation with Reactant-Product Alignment
As of 14 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2411.17629.
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 2026-08-14T06:32:32.682623+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
64 of 64 outbound references displayed
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- verified fuzzy40
- unresolved20
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ba744979-b4b6-44b7-8bb4-f9f603a08cc6 · outbound
This paper cites T., Estrada, J.
Learning Chemical Reaction Representation with Reactant-Product Alignment T., Estrada, J
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation c97ef480-2598-48f0-80c9-f0e146c88b4b · outbound
This paper cites Reagent prediction with a molecular transformer improves reaction data quality.
Learning Chemical Reaction Representation with Reactant-Product Alignment Reagent prediction with a molecular transformer improves reaction data quality
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 422db8d4-0863-4c0e-be4a-1ec39bd9e89b · outbound
This paper cites Layer Normalization.
Learning Chemical Reaction Representation with Reactant-Product Alignment Layer Normalization
Reference 3
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f35bbe9-e331-40f8-9e22-71eddf5128b8 · outbound
This paper cites Uncertainty-aware yield prediction with multimodal molecular features.
Learning Chemical Reaction Representation with Reactant-Product Alignment Uncertainty-aware yield prediction with multimodal molecular features
Reference 4
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2cb6f6b6-86fc-4709-94c9-ff5c892700e1 · outbound
This paper cites Precise atom-to-atom mapping for organic reactions via human-in-the-loop machine learning.
Learning Chemical Reaction Representation with Reactant-Product Alignment Precise atom-to-atom mapping for organic reactions via human-in-the-loop machine learning
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 002e04d9-198b-4b59-8ab1-dbce11a9d286 · outbound
This paper cites and Guestrin, C.
Learning Chemical Reaction Representation with Reactant-Product Alignment and Guestrin, C
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23b2c2d2-472a-44d1-ad88-e70daada1a3d · outbound
This paper cites S., Babu, C.
Learning Chemical Reaction Representation with Reactant-Product Alignment S., Babu, C
Reference 7
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5835b7c5-5a5b-4a17-8ed9-8f9dd0f363fc · outbound
This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.
Learning Chemical Reaction Representation with Reactant-Product Alignment BERT: pre-training of deep bidirectional transformers for language understanding
Reference 8
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb781940-26c6-4a18-b9cf-8843e7b482aa · outbound
This paper cites and Lenssen, J.
Learning Chemical Reaction Representation with Reactant-Product Alignment and Lenssen, J
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2082fed5-9f29-4b31-bad9-313c5ba72d26 · outbound
This paper cites Description of organic reactions based on imaginary transition structures.
Learning Chemical Reaction Representation with Reactant-Product Alignment Description of organic reactions based on imaginary transition structures
Reference 10
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 089ca015-cce8-4950-a5f6-397f68bba2ad · outbound
This paper cites J., Coley, C.
Learning Chemical Reaction Representation with Reactant-Product Alignment J., Coley, C
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 98fbfcbe-f278-43b9-8b47-16c040a241ee · outbound
This paper cites Computer software review: Reaxys, 2009.
Learning Chemical Reaction Representation with Reactant-Product Alignment Computer software review: Reaxys, 2009
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.748350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation de06ba18-462a-47eb-a75d-42cb4046297f · outbound
This paper cites W., Wu, H., Ranasinghe, D., Heid, E., Struble, T.
Learning Chemical Reaction Representation with Reactant-Product Alignment W., Wu, H., Ranasinghe, D., Heid, E., Struble, T
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 2026-08-14T06:32:32.682623+00:00.
Observation d3f046f1-013a-431e-bcdf-12ac30b4e77f · outbound
This paper cites Improving chemical reaction yield prediction using pre-trained graph neural networks.
Learning Chemical Reaction Representation with Reactant-Product Alignment Improving chemical reaction yield prediction using pre-trained graph neural networks
Reference 14
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1dbe4c38-0f6f-49ec-906a-189df7764808 · outbound
This paper cites and Oprea, T.
Learning Chemical Reaction Representation with Reactant-Product Alignment and Oprea, T
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 75b62fa3-460c-4e3e-a500-de43805454e9 · outbound
This paper cites P., Chung, Y., Li, S.-C., Graff, D.
Learning Chemical Reaction Representation with Reactant-Product Alignment P., Chung, Y., Li, S.-C., Graff, D
Reference 16
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cbcefea-34df-47c2-8ff0-d2c99e4b6cf6 · outbound
This paper cites Open graph benchmark: Datasets for machine learning on graphs.
Learning Chemical Reaction Representation with Reactant-Product Alignment Open graph benchmark: Datasets for machine learning on graphs
Reference 17
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f21b934c-b1cb-47ca-833c-fe56cafe7203 · outbound
This paper cites Strategies for pre-training graph neural networks.
Learning Chemical Reaction Representation with Reactant-Product Alignment Strategies for pre-training graph neural networks
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b2683d90-e4d4-4581-ba80-0c7571b2cadc · outbound
This paper cites an unresolved cited work.
Learning Chemical Reaction Representation with Reactant-Product Alignment Unresolved cited work
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 2e1f3c11-4639-4f1d-abea-21eb3139a38d · outbound
This paper cites Graph neural networks with multiple feature extraction paths for chemical property estimation.
Learning Chemical Reaction Representation with Reactant-Product Alignment Graph neural networks with multiple feature extraction paths for chemical property estimation
Reference 20
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd548d37-ca68-460e-92f4-f675465721ed · outbound
This paper cites Drugood: Out-of-distribution dataset curator and benchmark for ai-aided drug discovery--a focus on affinity prediction problems with noise annotations.
Learning Chemical Reaction Representation with Reactant-Product Alignment Drugood: Out-of-distribution dataset curator and benchmark for ai-aided drug discovery--a focus on affinity prediction problems with noise annotations
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 42c67ccf-e94d-436b-8b7d-ff84840ee3ed · outbound
This paper cites Predicting organic reaction outcomes with weisfeiler-lehman network.
Learning Chemical Reaction Representation with Reactant-Product Alignment Predicting organic reaction outcomes with weisfeiler-lehman network
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 39ce8929-d105-4ce1-b150-a313a31df573 · outbound
This paper cites A substructure-based screening approach to uncover n-nitrosamines in drug substances.
Learning Chemical Reaction Representation with Reactant-Product Alignment A substructure-based screening approach to uncover n-nitrosamines in drug substances
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ba2b3dcb-c82a-420e-a446-ee63de1dc65a · outbound
This paper cites M., Maser, M.
Learning Chemical Reaction Representation with Reactant-Product Alignment M., Maser, M
Reference 24
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5be33f3d-0b24-4367-91f9-03c47f5e9191 · outbound
This paper cites W., Zhang, X., Krenske, E.
Learning Chemical Reaction Representation with Reactant-Product Alignment W., Zhang, X., Krenske, E
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9fc59fc9-1741-4e4b-9bf0-71fb54ff61d6 · outbound
This paper cites A., Thiessen, P.
Learning Chemical Reaction Representation with Reactant-Product Alignment A., Thiessen, P
Reference 26
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 519af209-01db-4c3a-adb4-490de76d9dba · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Learning Chemical Reaction Representation with Reactant-Product Alignment Adam: A Method for Stochastic Optimization
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5041dc2a-add2-4817-9db4-a820217d59cc · outbound
This paper cites Uncertainty-aware prediction of chemical reaction yields with graph neural networks.
Learning Chemical Reaction Representation with Reactant-Product Alignment Uncertainty-aware prediction of chemical reaction yields with graph neural networks
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 09916c11-e735-438a-975c-347b7aff1666 · outbound
This paper cites an unresolved cited work.
Learning Chemical Reaction Representation with Reactant-Product Alignment Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c2ca7d9f-5874-4850-bad6-638757dd53c7 · outbound
This paper cites Reaction performance prediction with an extrapolative and interpretable graph model based on chemical knowledge.
Learning Chemical Reaction Representation with Reactant-Product Alignment Reaction performance prediction with an extrapolative and interpretable graph model based on chemical knowledge
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5788410c-c36f-4987-a43c-866863e11983 · outbound
This paper cites Predicting regioselectivity in radical c- h functionalization of heterocycles through machine learning.
Learning Chemical Reaction Representation with Reactant-Product Alignment Predicting regioselectivity in radical c- h functionalization of heterocycles through machine learning
Reference 31
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dedc9a86-83e7-415c-b6b0-deb1cca9b1f6 · outbound
This paper cites and Zhang, Y.
Learning Chemical Reaction Representation with Reactant-Product Alignment and Zhang, Y
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 20eb242d-2f88-4873-aab8-4c47b3edd685 · outbound
This paper cites The development of pharmacophore modeling: Generation and recent applications in drug discovery.
Learning Chemical Reaction Representation with Reactant-Product Alignment The development of pharmacophore modeling: Generation and recent applications in drug discovery
Reference 33
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0dd10a07-c63f-4c08-baa2-92ca158bbca4 · outbound
This paper cites R., Cui, A.
Learning Chemical Reaction Representation with Reactant-Product Alignment R., Cui, A
Reference 34
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7cc42d7f-0735-4033-9dc4-f63685f65c2f · outbound
This paper cites Pistachio: Search and faceting of large reaction databases.
Learning Chemical Reaction Representation with Reactant-Product Alignment Pistachio: Search and faceting of large reaction databases
Reference 35
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4a9eaf2b-37d8-4acb-9202-6c841e30a8d6 · outbound
This paper cites an unresolved cited work.
Learning Chemical Reaction Representation with Reactant-Product Alignment Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb7d5517-ff09-46d7-a39a-b343570977e4 · outbound
This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.
Learning Chemical Reaction Representation with Reactant-Product Alignment T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models
Reference 37
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c5f082a-ca49-4b4b-bcd1-ffc8af250f01 · outbound
This paper cites Emerging computational approaches for the study of regio-and stereoselectivity in organic synthesis.
Learning Chemical Reaction Representation with Reactant-Product Alignment Emerging computational approaches for the study of regio-and stereoselectivity in organic synthesis
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a2a98653-2f74-4295-93fe-4cd96cf3dd9b · outbound
This paper cites Recent developments in the reduction of aromatic and aliphatic nitro compounds to amines.
Learning Chemical Reaction Representation with Reactant-Product Alignment Recent developments in the reduction of aromatic and aliphatic nitro compounds to amines
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 859016b5-81d2-46f2-ad64-e1d393f0d08b · outbound
This paper cites Pytorch: An imperative style, high-performance deep learning library.
Learning Chemical Reaction Representation with Reactant-Product Alignment Pytorch: An imperative style, high-performance deep learning library
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c370290c-db6d-488e-acf8-24b880582c29 · outbound
This paper cites Reaction classification and yield prediction using the differential reaction fingerprint drfp.
Learning Chemical Reaction Representation with Reactant-Product Alignment Reaction classification and yield prediction using the differential reaction fingerprint drfp
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b8ff52ed-3340-401c-8269-6632db75b20a · outbound
This paper cites Molecule edit graph attention network: modeling chemical reactions as sequences of graph edits.
Learning Chemical Reaction Representation with Reactant-Product Alignment Molecule edit graph attention network: modeling chemical reactions as sequences of graph edits
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.354916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ff6a0ce3-572c-4412-af41-a4f6827e7c32 · outbound
This paper cites A structure-based platform for predicting chemical reactivity.
Learning Chemical Reaction Representation with Reactant-Product Alignment A structure-based platform for predicting chemical reactivity
Reference 43
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 34868682-12e6-4f37-87cf-43461aa41c30 · outbound
This paper cites A., Bekas, C., and Lee, A.
Learning Chemical Reaction Representation with Reactant-Product Alignment A., Bekas, C., and Lee, A
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d94fb77a-5f2b-46e4-9bde-1fbdac9d19e6 · outbound
This paper cites Extraction of organic chemistry grammar from unsupervised learning of chemical reactions.
Learning Chemical Reaction Representation with Reactant-Product Alignment Extraction of organic chemistry grammar from unsupervised learning of chemical reactions
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.329440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f0fd123b-6ab0-4cc3-b7ba-29e40ff1f1aa · outbound
This paper cites C., Nair, V.
Learning Chemical Reaction Representation with Reactant-Product Alignment C., Nair, V
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.316266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aad5a088-da90-475e-a4e1-45d95c397069 · outbound
This paper cites C., Laino, T., and Reymond, J.-L.
Learning Chemical Reaction Representation with Reactant-Product Alignment C., Laino, T., and Reymond, J.-L
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.303582Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5290ea66-52f8-43b4-81a6-a289e2b33a0f · outbound
This paper cites an unresolved cited work.
Learning Chemical Reaction Representation with Reactant-Product Alignment Unresolved cited work
Reference 48
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T12:01:49.292076Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c2f67142-6201-464e-8ba0-4eea38394ba8 · outbound
This paper cites Catalytic Transfer Hydrogenation of Nitronarenes under Mild Conditions.
Learning Chemical Reaction Representation with Reactant-Product Alignment Catalytic Transfer Hydrogenation of Nitronarenes under Mild Conditions
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.280592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dbc44fbc-bd20-48ed-8c41-751973647b01 · outbound
This paper cites Prediction of chemical reaction yields with large-scale multi-view pre-training.
Learning Chemical Reaction Representation with Reactant-Product Alignment Prediction of chemical reaction yields with large-scale multi-view pre-training
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.268808Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d7d1f89a-e116-47ab-b971-f87a5d87114e · outbound
This paper cites N., Kaiser, ., and Polosukhin, I.
Learning Chemical Reaction Representation with Reactant-Product Alignment N., Kaiser, ., and Polosukhin, I
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72288342-3b28-43a0-9c8a-abe070d8e862 · outbound
This paper cites Graph attention networks.
Learning Chemical Reaction Representation with Reactant-Product Alignment Graph attention networks
Reference 52
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4c5d300-9539-4927-83f5-e5030c5fc135 · outbound
This paper cites Retroformer: Pushing the limits of end-to-end retrosynthesis transformer.
Learning Chemical Reaction Representation with Reactant-Product Alignment Retroformer: Pushing the limits of end-to-end retrosynthesis transformer
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.238537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 16349cf4-722a-4abb-9efa-6ec3677cae6a · outbound
This paper cites Generic interpretable reaction condition predictions with open reaction condition datasets and unsupervised learning of reaction center.
Learning Chemical Reaction Representation with Reactant-Product Alignment Generic interpretable reaction condition predictions with open reaction condition datasets and unsupervised learning of reaction center
Reference 54
- Resolution
- verified exact
- doi, observed 2026-08-12T12:01:49.031170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9f04fa75-eb81-4e77-a953-5526168ac17f · outbound
This paper cites Smiles, a chemical language and information system.
Learning Chemical Reaction Representation with Reactant-Product Alignment Smiles, a chemical language and information system
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:01:48.955484Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92e7efa1-1ee8-42b9-b2ca-50d6803f774a · outbound
This paper cites Retroxpert: Decompose retrosynthesis prediction like a chemist.
Learning Chemical Reaction Representation with Reactant-Product Alignment Retroxpert: Decompose retrosynthesis prediction like a chemist
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.218308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a4a5d7a-10e2-4cfa-b0bf-bda3c27301f5 · outbound
This paper cites Learning substructure invariance for out-of-distribution molecular representations.
Learning Chemical Reaction Representation with Reactant-Product Alignment Learning substructure invariance for out-of-distribution molecular representations
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.205757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 52b33bca-f4ea-4788-9bb3-1d443fe6848a · outbound
This paper cites and Zhang, R.
Learning Chemical Reaction Representation with Reactant-Product Alignment and Zhang, R
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.194223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b680d0be-6bc8-4e49-b767-05caf0a72a79 · outbound
This paper cites Z., Zhao, Y., Xu, H., Kuramshin, A., et al.
Learning Chemical Reaction Representation with Reactant-Product Alignment Z., Zhao, Y., Xu, H., Kuramshin, A., et al
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.181492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c99286c9-e973-4173-88f4-84d73d29d973 · outbound
This paper cites F., Henle, J.
Learning Chemical Reaction Representation with Reactant-Product Alignment F., Henle, J
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.170145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 780a29ee-9c47-4c12-bd0e-1ad9e0143997 · outbound
This paper cites Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised smiles alignment.
Learning Chemical Reaction Representation with Reactant-Product Alignment Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised smiles alignment
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T12:01:49.158115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8c967954-ec08-41b9-b2f1-0996e8fb780a · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
Learning Chemical Reaction Representation with Reactant-Product Alignment Adding conditional control to text-to-image diffusion models
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:01:48.980960Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be4cc595-02b3-4bf0-a2cd-cef888cb33db · outbound
This paper cites Uni-mol: A universal 3d molecular representation learning framework.
Learning Chemical Reaction Representation with Reactant-Product Alignment Uni-mol: A universal 3d molecular representation learning framework
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:01:48.984682Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8066b18-0aad-40d7-a144-aee6350b81f3 · outbound
This paper cites write newline.
Learning Chemical Reaction Representation with Reactant-Product Alignment write newline
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:01:48.988765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.