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Paper Citation Record · LEDGER

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction

As of 10 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2608.06259.

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

pith.paper-citation-record.v1
2608.06259 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:17:19.059876Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e01a0b03-a207-4f8d-9455-066ab899ede4 · outbound

This paper cites Oliveira, Johanna Frey, Shuo-Qing Zhang, Li-Cheng Xu, Xin Li, Shu- Wen Li, Xin Hong, and Lutz Ackermann.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Oliveira, Johanna Frey, Shuo-Qing Zhang, Li-Cheng Xu, Xin Li, Shu- Wen Li, Xin Hong, and Lutz Ackermann

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:24.198876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f42ef20a-ea15-46d9-838f-a7846f0d8f89 · outbound

This paper cites an unresolved cited work.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:24.119588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.078332Z digest=sha256:91f5c6691717132f76acd8c6c7a82988d7331fdbc531e2a163e56cb06172d669

Observation 764e6c3b-3232-4da8-92fa-6f3e966e25c4 · outbound

This paper cites Anstine, Olexandr Isayev, and Brett M.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Anstine, Olexandr Isayev, and Brett M

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.152189Z digest=sha256:64c176c153227b03c0afc105f9c49c7bd3571a3d45feb64171d3acc9b93bb7b6

Observation 48195646-196c-4b31-a05d-9e9e22ea2eef · outbound

This paper cites Reaction classifica- tion and yield prediction using the differential reaction fingerprint drfp.Digital Discovery, 1(2):91–97, 04 2022.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Reaction classifica- tion and yield prediction using the differential reaction fingerprint drfp.Digital Discovery, 1(2):91–97, 04 2022

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:23.968248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.258337Z digest=sha256:9304f852117d237d89ea20dcea4b90634406bbef7fa638e361fe8e20998423fe

Observation 84b311fa-b113-4584-837a-ac26af7bdbd3 · outbound

This paper cites Diccianni, Jorg K.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Diccianni, Jorg K

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:23.767092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.336451Z digest=sha256:d5e5e230f448b14d6df0e5f677d9e4c2eb91d78f7e843b096d674b002147b2c8

Observation d38ddb5c-7766-4fa2-8332-ea19d8ac257b · outbound

This paper cites Pickett, and Peter Pogány.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Pickett, and Peter Pogány

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:23.545650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.436969Z digest=sha256:9f855791bea3e6057179328689f82478a5a0df72b75db9ac168fad913d774445

Observation 1f407dc2-84f0-4ad8-9a3f-258b8df04ec0 · outbound

This paper cites Prediction of chemical reaction yields using deep learning.Machine Learning: Science and Technology, 2(1):015016, mar 2021.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Prediction of chemical reaction yields using deep learning.Machine Learning: Science and Technology, 2(1):015016, mar 2021

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:23.228067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.530116Z digest=sha256:b98684a48d7c9d347ae5fd7d9ccb8448f111cdfc0e93c915b46e173dfbb04a0a

Observation 3ee02251-b776-4901-9057-b136ba3d077c · outbound

This paper cites Lowe, Roger A.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Lowe, Roger A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:22.959625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.653265Z digest=sha256:7b97781b007bc42a4abb3889cae467c7792c58d1330749022176153b3f756fca

Observation 47562ba6-26b8-4b24-beee-b76e7ff3eee3 · outbound

This paper cites A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:22.607828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.727401Z digest=sha256:adce3fdc2bdfb69a3d93307151e4ac216fac5fffdec53a8baec2bd26f72dc9fd

Observation 70f35473-247b-45cd-a849-84886df04472 · outbound

This paper cites Graph transformation policy network for chemical reaction prediction.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Graph transformation policy network for chemical reaction prediction

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:22.360580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.802150Z digest=sha256:20a023f152b1e9ee162ec17bd4a8dc16db36502e5fdf4a5532a78b09250baaa9

Observation d6a41d4e-caf0-45f0-9506-fdc2cc32f8e2 · outbound

This paper cites Improving enzyme prediction with chemical reaction equations by hypergraph-enhanced knowledge graph embeddings.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Improving enzyme prediction with chemical reaction equations by hypergraph-enhanced knowledge graph embeddings

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:22.118000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.866235Z digest=sha256:f4a31a707f4e5200e311441b2171b572a1b55665ed7fc90fba95c23e03e868f4

Observation dc8a05a3-4569-4260-ba3a-2aaed745666c · outbound

This paper cites Chemical reaction enhanced graph learning for molecule representation.Bioinformatics, 40(10):btae558, 10 2024.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Chemical reaction enhanced graph learning for molecule representation.Bioinformatics, 40(10):btae558, 10 2024

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:21.828604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.938708Z digest=sha256:72d7111b2f940e42af158ac3556320e53e0134fb07e22080cfaa654a26f4427c

Observation 68788fb7-d7c9-48e8-8b8f-33df83986c16 · outbound

This paper cites an unresolved cited work.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:21.726943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:17.993000Z digest=sha256:2c3c3bb7a4bb8beb7cffe1659ea6e033fc3152a5326c9cfc2dc9efd73e2d8439

Observation 765ec087-f1b4-4496-9a3e-c2fe07c0fb8e · outbound

This paper cites an unresolved cited work.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:21.606881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.109567Z digest=sha256:69334cbc0bfe80bd11cfab516d2f410612f2ecc29e9ca7704f5bfd0af3219796

Observation accc89b7-d8ab-410a-a3ac-505d55b14b98 · outbound

This paper cites Springer International Publishing, Cham, 2023.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Springer International Publishing, Cham, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:21.510777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.176173Z digest=sha256:f16ae1405e15fa9a4037db5f790b5588240f98c46cb0ddad38ae7d662d6c533a

Observation e0a11c22-da7a-4249-8df0-adad8d6a5dbe · outbound

This paper cites Greenman, Yunsie Chung, Shih-Cheng Li, David E.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Greenman, Yunsie Chung, Shih-Cheng Li, David E

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:21.375996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.230138Z digest=sha256:428aafc24ad6ab73e7214d76e45f7e1668c3a794b372e82a602689682dfd59fb

Observation ca649f13-5054-41df-b479-1e6ab1d83fb7 · outbound

This paper cites González Laffitte, Yingjie Pan, Daniel Merkle, Jakob L.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction González Laffitte, Yingjie Pan, Daniel Merkle, Jakob L

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:21.216654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.272751Z digest=sha256:010f5fa9cd4474055cffde95f967852bea789478f0e75045439cdd8b7f5be506

Observation c454ab6e-afe3-4d75-b78c-fb5ceec90a73 · outbound

This paper cites an unresolved cited work.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:21.120671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.317794Z digest=sha256:d5ad61b4a7c1b61623414907deee098e93b88ecfcdc31271d97b020b1504ccb2

Observation d37d6514-5497-4ffb-9652-c8426996f022 · outbound

This paper cites Improving out-of-distribution generalization via multi-task self-supervised pretraining.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Improving out-of-distribution generalization via multi-task self-supervised pretraining

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:18.371171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:18.371171Z digest=sha256:230bc6d8bd9a67e9e528c4d06e21b476550d7d434e11a79fea49fe5524f53a91

Observation f577a263-54df-4c28-bb1b-b83020a96cd4 · outbound

This paper cites Maddix, Shuai Zhang, Yuyang Wang, and Andrew Gordon Wilson.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Maddix, Shuai Zhang, Yuyang Wang, and Andrew Gordon Wilson

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:20.927759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.440435Z digest=sha256:bad552ce552cea485ef310a6c71431d2add5de59d672a1e2d7ff51f81a7e03a6

Observation d017b580-5021-4621-8b75-5f7ade6bbb12 · outbound

This paper cites Learning from models beyond fine-tuning.Nature Machine Intelligence, 7(1):6–17, 2025.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Learning from models beyond fine-tuning.Nature Machine Intelligence, 7(1):6–17, 2025

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:20.746750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.491217Z digest=sha256:49b4e2d8df0d4ddbb0174a070389d2200d34593d73622a29a877e8c93e7ff6a4

Observation bcd55266-061a-4f4e-bd19-33912e4b00c6 · outbound

This paper cites Molecu- lar contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287, 2022.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Molecu- lar contrastive learning of representations via graph neural networks.Nature Machine Intelligence, 4(3):279–287, 2022

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:20.535976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.532520Z digest=sha256:bc32ff55d738356917bb748ebe24cfd6fde4840a875fbe23fd6165ccc4538993

Observation 170fc9fd-249f-4da5-90e9-fa79da39ea2e · outbound

This paper cites Bridging cgr representations and language models for reaction property prediction.ChemRxiv, 2026(0316), 2026.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Bridging cgr representations and language models for reaction property prediction.ChemRxiv, 2026(0316), 2026

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:20.354334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.592770Z digest=sha256:3a5c2a95658ce80bd59ae8155622d5f56e64a554230bb54daaea565c16252cb9

Observation ce0057a2-aa1b-4306-a60e-c8e9f2108129 · outbound

This paper cites Varnek, D.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Varnek, D

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:20.185126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.643739Z digest=sha256:a19befd98f256601eea10b9805dfe7ba6fe076af762d9ef3be457774ac483965

Observation 9f16e210-dd33-4991-94f2-286353303907 · outbound

This paper cites Hazelnut, 2025.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Hazelnut, 2025

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:20.002657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.687297Z digest=sha256:8a03ff60a32c418bcd8d955539c8244ef34cddbae2aab6421d06cec4c0722baa

Observation f02e0d76-93e8-4a18-a438-03a47d49bf25 · outbound

This paper cites How powerful are graph neural networks? InInternational Conference on Learning Representations, 2019.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction How powerful are graph neural networks? InInternational Conference on Learning Representations, 2019

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:18.723947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:18.723947Z digest=sha256:74b48ddff4f9c1ff4481261dbd19582882a970d52d7b46c06993f1c6f470689c

Observation f882b24f-6709-4d75-8e3e-c66f554bc95d · outbound

This paper cites A simple framework for contrastive learning of visual representations, 2020.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction A simple framework for contrastive learning of visual representations, 2020

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T11:17:18.774376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:17:18.774376Z digest=sha256:e0bf8df6187b4e4124e80968cdb64d51f7df4ae93065ca26b69994a736dc2893

Observation 1e47a3b9-8135-4ba2-966b-c78b9e6f6931 · outbound

This paper cites Schwaller, Daniel Probst, Alain C.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Schwaller, Daniel Probst, Alain C

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:19.770099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.814823Z digest=sha256:7bfbd1466d81b432c4f68bf93620d092a01686bfe52b120ee7da9c4312a49734

Observation 42931fc0-486c-4b36-92b9-8e18542ed679 · outbound

This paper cites Hubs in space: Popular nearest neighbors in high-dimensional data.KoBSON-skop - NasiuFP, 11(86):2487–2531, 2010.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Hubs in space: Popular nearest neighbors in high-dimensional data.KoBSON-skop - NasiuFP, 11(86):2487–2531, 2010

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:19.570241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.857583Z digest=sha256:230d0c0165407a068fcc32144d5fe7a0839eef1d809fe2dbce6f9bd404215ba0

Observation 025ed3ef-2811-4be6-a298-30fa9a36e546 · outbound

This paper cites an unresolved cited work.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:17:19.472997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.923572Z digest=sha256:140d4d626db71517936ab7fcf94d8bd268f24ac878ac1fbb98f8f10f454b4284

Observation 93580077-f0bd-4f77-afd6-f7beb69510bd · outbound

This paper cites Pistachio, 2025.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Pistachio, 2025

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:19.382187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:18.966254Z digest=sha256:dad5c24cc6d9766988ff9b65f2c962323cd09fdc0ff347a8a1a3ac045a3a66bb

Observation 6ab0b7e5-8b4e-4002-9d8e-d9cee863d166 · outbound

This paper cites Ahneman, Jesús G.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction Ahneman, Jesús G

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:19.287163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:19.024859Z digest=sha256:552aa1400c21aa06e01942bec6df9312d8f02d81a26c1b854667f91c0b26cd6c

Observation acfe1dd2-970a-449d-bb49-0bd40407ab9e · outbound

This paper cites West, Jessica Xu, Yu-hong Lam, Thomas J.

RxnCLF: Contrastive Transformation-Aware Reaction Foundation Model for Improved Reactivity Prediction West, Jessica Xu, Yu-hong Lam, Thomas J

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:17:19.197466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T11:17:19.059876Z digest=sha256:260165b3f28442aac58b991ad5eb6a299ad043a202151863c6088b8a8d8616ce

Pith citing papers

No inbound Pith citation observations are available.