Pith. sign in

Paper Citation Record · LEDGER

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models

As of 7 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 0 inbound Pith citation observations for arXiv:2506.00198.

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

pith.paper-citation-record.v1
2506.00198 v1

Coverage vector

measured 90 of 90 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:16:59.659347Z

measured 90 of 90 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

90 of 90 outbound references displayed

  • verified exact1
  • verified fuzzy65
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7245d3c-95a8-49fc-a03e-06dc5e0fb70a · outbound

This paper cites B.; Bae, Y.-S.; Wilmer, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models B.; Bae, Y.-S.; Wilmer, C

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.267284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.267284Z digest=sha256:095f96f9c96577c7b47441dc01e6db9f7fd4c9a2677092070ba47ee6274bd7a6

Observation 4e6f5b15-a58e-4397-9a9b-8a057a55ec0e · outbound

This paper cites G.; Chidambaram, A.; Garc \' a-D \' ez, E.; Ireland, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Chidambaram, A.; Garc \' a-D \' ez, E.; Ireland, C

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.330043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.330043Z digest=sha256:c2118869ba147988c283e459f2e2bf2f81601c24cfbe8891457fbab39eb24d7b

Observation 898c1991-d273-4865-a3e2-8eb0fc290417 · outbound

This paper cites Water desalination with two-dimensional metal--organic framework membranes.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Water desalination with two-dimensional metal--organic framework membranes

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.389077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.389077Z digest=sha256:23d7cdb91770eee375437eaca4d9ecefdad1aca4eba9e05b0f68a785c5dea835

Observation 7260e970-25b9-4edb-be12-a383db279673 · outbound

This paper cites F.; Goscianska, J.; Demessence, A.; Ettlinger, R.; Wuttke, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models F.; Goscianska, J.; Demessence, A.; Ettlinger, R.; Wuttke, S

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.457011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.457011Z digest=sha256:c45616da2fb0adbdbf10f3c60c00fed812778a2df132a3d2681318628b8e02ef

Observation 37338c18-c731-4dd9-a1e7-6bf13d30f306 · outbound

This paper cites T.; Peng, L.; Reeder, W.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models T.; Peng, L.; Reeder, W

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.522991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.522991Z digest=sha256:f37d17f0e98966c41e95e738dec73ee006d11afa63e70162da717de5321a8f68

Observation eb796e97-cc4b-4790-8ef0-4a34a2b70366 · outbound

This paper cites Emerging Multifunctional Metal–Organic Framework Materials.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Emerging Multifunctional Metal–Organic Framework Materials

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.588025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.588025Z digest=sha256:108ddccc8c8096b2fd7d98a6416dbe119b905f33a734808ee2db64ae296d772b

Observation 68a93420-09b1-41a0-aada-285e3f71d8f8 · outbound

This paper cites Methane storage in metal–organic frameworks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Methane storage in metal–organic frameworks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.666465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.666465Z digest=sha256:df9bfd4bd419fb571c99c388bb503be0913458f12033467541002ebc0ecb5d86

Observation 6ce2a666-caad-4575-9925-a41c581a41d8 · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.740930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.740930Z digest=sha256:762463db2bed9006248fcf2a883cc2fbb0b9c69679d302760af3adfbcc32bcc9

Observation 5031e112-7a13-449b-be36-cfc1cbf98219 · outbound

This paper cites Z.; Li, A.; Wiggin, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Z.; Li, A.; Wiggin, S

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.834930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.834930Z digest=sha256:4b103ceecb98df02e4ab661c22487f7041059ca8e0b7ea1151e8155ff16a4853

Observation 58476dad-5a33-40c1-8e6d-34f53d8f482e · outbound

This paper cites E.; Leaf, M.; Lee, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models E.; Leaf, M.; Lee, C

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:51.895042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:51.895042Z digest=sha256:ff7966fde95085ee68d989759dd1dd3a35e627099a1ab6dc303dedf7515408cf

Observation d54d21de-6b78-42ac-8cc7-44e66b1287f8 · outbound

This paper cites M.; Ongari, D.; Moosavi, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Ongari, D.; Moosavi, S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:12.247977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:51.955770Z digest=sha256:d16a5f6589ff095a27ebcb8bf734266107d33e108a35dfa8af5314465d4f7124

Observation 69ca204a-4704-4d22-a32e-59fdc240f432 · outbound

This paper cites C.; Slater, B.; Smit, B.; Haranczyk, M.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Slater, B.; Smit, B.; Haranczyk, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:12.134935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.034361Z digest=sha256:400701434e0426a70b823c01c56c6a886001c9ac2a0fd69d203a8f9df15269cc

Observation c82beb72-3f08-45ed-8f05-1d5e87688815 · outbound

This paper cites S.; Notestein, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Notestein, J

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.980194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.090455Z digest=sha256:2bfede7e2c43b26bf82f8882e2cf0cdf3ea59abbeba1b94c1cbc707075b2e59f

Observation 01c18cba-7b60-4b54-99db-ae501a5f3e03 · outbound

This paper cites G.; Chung, Y.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Chung, Y

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.900847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.155374Z digest=sha256:bb64175718dd35fac8733cc450f962a43eae583842f38f4756455199cb665bee

Observation 49af1713-1c43-4d82-ae07-e7cfe89dacd6 · outbound

This paper cites D.; Barati Farimani, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models D.; Barati Farimani, A

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.804517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.247061Z digest=sha256:b2190b2e150ec0c3dbb93c6e9874d25307094989fb3994da097620d0ac471734

Observation 401c8e74-c0d0-4394-9e0e-e98b47a3e820 · outbound

This paper cites M.; Jablonka, K.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Jablonka, K

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.667684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.347609Z digest=sha256:bbafadbdc3dedf452918ad9f4a7bc926361b08871146a95c3c0cec7cc73dd61f

Observation 67d430f8-50fe-4bed-bde1-d21730ffd654 · outbound

This paper cites B.; Long, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models B.; Long, J

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.579539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.422333Z digest=sha256:a92e485ac711cb1472b990589880656fd278ac1b988a1945f4893b77eb2eb2f9

Observation 9489ecff-ef28-4ad5-a20c-c6ca64b63996 · outbound

This paper cites S.; Notestein, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Notestein, J

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.440462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.503369Z digest=sha256:2bed4e24eb29dcc84c0638426db1fc26b6803d5b523aae224289e594af6945a8

Observation 322353dd-0dc8-440b-9e00-e9c0a097ee72 · outbound

This paper cites From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models From Data to Discovery: Recent Trends of Machine Learning in Metal–Organic Frameworks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.310289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.589824Z digest=sha256:aa601026aa9c65ea616c2312fddd8a359c2196574cfe45939e55e252564b2c35

Observation d22fa008-2f95-4303-acd8-33a070055832 · outbound

This paper cites MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models MOFormer: Self-Supervised Transformer Model for Metal–Organic Framework Property Prediction

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.172162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.658357Z digest=sha256:ff39fe933dd733a35c815e2baf64b97698a1d516a93916c007cb967d8784381c

Observation c84e57fa-70a8-455e-9687-14b3a33d2bc1 · outbound

This paper cites Harnessing Large Language Models to Collect and Analyze Metal--Organic Framework Property Data Set.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Harnessing Large Language Models to Collect and Analyze Metal--Organic Framework Property Data Set

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:11.051295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.714750Z digest=sha256:2ad85f9c88d4d427d1dbbee5936ecd87e53ea8582d7ca73554e45fece2e9f7c7

Observation fb7cdc55-f163-47db-854a-5d431e043a0a · outbound

This paper cites Evaluation of open-source large language models for metal--organic frameworks research.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Evaluation of open-source large language models for metal--organic frameworks research

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:10.931022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.766496Z digest=sha256:b5506255b2ba5382c2115aba0244d47af7311cd5c9c41d738606e50646870a0d

Observation b7eaa0cf-6974-4ac1-a38c-29d2ddad212d · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:17:10.781385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.856541Z digest=sha256:0e97f057b8c48dbb25c1d00ed953c90fe8bd42e9cf38e41d050e9f5caf015740

Observation 70aa31a2-a9ae-411f-8dc1-cd136b4470ab · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:17:10.661903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:52.940698Z digest=sha256:d23519aa6d347197c256496ac5a41b2fffa47a916a67447b8ff69d33c5fdb712

Observation 2d032a4d-1d3f-421c-80cb-4c869ce34614 · outbound

This paper cites Crystal twins: self-supervised learning for crystalline material property prediction.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Crystal twins: self-supervised learning for crystalline material property prediction

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:10.526290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.002171Z digest=sha256:74386751e41c823b2b5444efc1e70e804448e94509554b74c74091a16c8e5018

Observation ad339ca4-f251-447c-b04a-1244f6d38808 · outbound

This paper cites C.; Aksu, G.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Aksu, G

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:10.416038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.112026Z digest=sha256:6246ffe4aca333c45a52770e663a17d02fea47634bbf7e42fa03fab5bde4c77e

Observation f6e6c138-fa75-478e-9711-450163512d2e · outbound

This paper cites F.; Keskin, S.; Yildirim, R.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models F.; Keskin, S.; Yildirim, R

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:10.306229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.193446Z digest=sha256:7d487656dbfab5c22237d4db48137bf715da5fbd3aff6c33226b6edb38e9381f

Observation 21f1728e-ffa5-4ba1-bbd4-095189ba06d5 · outbound

This paper cites W.; Kulik, H.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models W.; Kulik, H

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:10.102418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.286065Z digest=sha256:c5acd6c7a756c628e37329835c7dcf3b3cea44581614c46c9b19149e445f4a44

Observation 4defc144-360c-4db4-8c79-8f28df7e8e46 · outbound

This paper cites Accelerating CO₂ Direct Air Capture Screening for Metal-Organic Frameworks with a Transferable Machine Learning Force Field.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Accelerating CO₂ Direct Air Capture Screening for Metal-Organic Frameworks with a Transferable Machine Learning Force Field

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:09.910341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.368434Z digest=sha256:27a5c27b7016b512079b541c009f8fcb0a5eb76421c8f906bb82af49609f0e9b

Observation ee678bfb-af4c-4a5d-a341-3172c49c7738 · outbound

This paper cites Crystal Diffusion Variational Autoencoder for Periodic Material Generation.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:53.442203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:53.442203Z digest=sha256:4b2968a4612e2d1cacd68ed07c82fcf63995fcb3ba24a586467472c0eea1c054

Observation 7dd60c1b-bd5a-49f6-84a7-c447983fa16a · outbound

This paper cites Application of Transformers in Cheminformatics.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Application of Transformers in Cheminformatics

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:09.741963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.495323Z digest=sha256:3cae61170965778da9ad0a4b8ebf39d8be3b5ab0b3da4f9fadbdcd2440e8013d

Observation 143c1c58-f721-4716-a832-145c99b81642 · outbound

This paper cites Multimodal language and graph learning of adsorption configuration in catalysis.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Multimodal language and graph learning of adsorption configuration in catalysis

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:09.569888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.555121Z digest=sha256:4d07e2f8ab80d9601ff2612b893e560c9a582eeb361abd2af8f727d836491561

Observation 5645947b-ff14-47a9-9fee-83778ebcccc9 · outbound

This paper cites PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models PeptideBERT: A Language Model Based on Transformers for Peptide Property Prediction

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:09.392042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.623586Z digest=sha256:4876a65bfd73fd056c0556a1e97d46c89bf495cf9d33991390ca09a57c1b25af

Observation 04a2da34-4b01-4848-a472-9ebc242b9386 · outbound

This paper cites Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Catalyst Energy Prediction with CatBERTa: Unveiling Feature Exploration Strategies through Large Language Models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:09.165156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.684839Z digest=sha256:4f071dfbfd7656eaed9bebd361f245b0a919e82d21d1fe4bda741fae2abb3211

Observation 0d576d43-79d7-4cf3-a214-55a032f4510d · outbound

This paper cites H.; Rieth, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models H.; Rieth, A

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:09.027687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.757804Z digest=sha256:4df6e4ea0102ddfb17c20d353adf80002eff2c50a2bccfde10d36a4063a18052

Observation 96202ff2-4bb9-4dce-b039-c23fafa770a9 · outbound

This paper cites T.; Huisman, B.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models T.; Huisman, B

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:08.861722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.827357Z digest=sha256:6c553c2d08e9cad845496d6849662cc130febb6751f1db4bc6a0ae0d92baa553

Observation e4f883ec-3ac8-43f1-9d7a-aec3dba851c4 · outbound

This paper cites The problem of learning long-term dependencies in recurrent networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models The problem of learning long-term dependencies in recurrent networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:08.707900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.909097Z digest=sha256:c932766b19c2c43bd1de522d46a3bbb8166b5e492964b8c5ed7f4a15cdaf537f

Observation dda3d1ff-ee23-4cdd-8f38-f0bafb0146db · outbound

This paper cites De novo generation of hit-like molecules from gene expression signatures using artificial intelligence.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models De novo generation of hit-like molecules from gene expression signatures using artificial intelligence

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:08.553940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:53.980261Z digest=sha256:06001d1c23ad3f4ef1d57ea795d9992d38125fa8d4fed43505bf87590b958101

Observation 744aa461-0c26-41e9-b400-63e2e9df9cc6 · outbound

This paper cites Conditional Molecular Design with Deep Generative Models.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Conditional Molecular Design with Deep Generative Models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:08.376436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.040204Z digest=sha256:3efa746e3846cf89aafc348c822eeee001ed0d55ba4074e63fe86bbf562c9d95

Observation 980756fd-3143-45a7-a7d1-a3fff4165220 · outbound

This paper cites Communications Materials 2022, 3, 93.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Communications Materials 2022, 3, 93

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:08.222280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.128611Z digest=sha256:b9a6e1f5a263aa2d54c071f5f377a950a1300b9cbd8c9dd6d506a5ade18ab451

Observation bbd76b8c-3afd-4683-93c1-d2ca66a2ed3f · outbound

This paper cites A.; Chaudhuri, S.; Cooper, D.; Foster, I.; Tajkhorshid, E.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Chaudhuri, S.; Cooper, D.; Foster, I.; Tajkhorshid, E

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:08.060050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.174905Z digest=sha256:f038f38d1f7e9fede826747771695b45e851d8e7a1aa830e060875e6fc446026

Observation d7e412eb-ceb3-4df9-a5ee-c2728d617c39 · outbound

This paper cites System of Agentic AI for the Discovery of Metal-Organic Frameworks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models System of Agentic AI for the Discovery of Metal-Organic Frameworks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:54.267650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:54.267650Z digest=sha256:5d53b1606e8fa2526f2620efa22ea02086c6ecbbd372a07d94cf2be28e47538b

Observation e12ed268-bc34-4809-a603-646dfdc42af9 · outbound

This paper cites S.; Jaakkola, T.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Jaakkola, T

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:07.903877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.342811Z digest=sha256:06396141aa198b859c6f58d7759c31574d20d50cc6e0c4a4ee64acb806af525a

Observation e287bff5-7b56-4a59-85d5-579f1d5c90f1 · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:17:07.729461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.401344Z digest=sha256:0c7e331f729a699c76c4c778a7d038a6165078e4f82c09efc51b4a52ec10f8c0

Observation 497ed80b-dfd9-4675-a73b-6de36a5b7881 · outbound

This paper cites an unresolved cited work.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:17:07.548727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.465879Z digest=sha256:49ce3abf8fd33abfd4adac36404d906f41df93f13cbb2b9f445c6aa51d41b7cd

Observation fc7c9db2-e167-4e55-a4da-1993fef87ee8 · outbound

This paper cites Bidirectional Molecule Generation with Recurrent Neural Networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Bidirectional Molecule Generation with Recurrent Neural Networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:07.438060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.551898Z digest=sha256:02e186180dd1dd96d5f5f221c363e10d22b9bc6e39cfe0641e5f880f16a6ecb4

Observation b4be8a61-f300-40fa-815c-8a039599b54a · outbound

This paper cites S.; Bucior, B.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Bucior, B

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:07.291598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.682446Z digest=sha256:e2ff8aba003fa8ee3e4add4d7d59968014e5e770e2d353063ca0c8373963904a

Observation c68c823e-55b1-4d91-bef1-d25af2938410 · outbound

This paper cites Mode Regularized Generative Adversarial Networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Mode Regularized Generative Adversarial Networks

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:54.767448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:54.767448Z digest=sha256:34928416e5cecc8e1dd9fd49710506894107265e96d20bf3f58b41372531ee53

Observation 330c60c6-cd8b-4f28-99c1-7bb0f664f113 · outbound

This paper cites Are VAEs Bad at Reconstructing Molecular Graphs?.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Are VAEs Bad at Reconstructing Molecular Graphs?

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T12:17:00.429030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.824546Z digest=sha256:57c3bb8cb3a3bb90a413d52d56fe39afda6bbcac909a01c197e1bd9bb0ceff46

Observation 8d2b07b5-b558-4b3f-a76a-0ad189799e02 · outbound

This paper cites M.; Nandy, A.; Jablonka, K.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Nandy, A.; Jablonka, K

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:07.132991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.896308Z digest=sha256:85dcf68cf4f360e438c53a8cc26bc009239f15b4386003d52809bcb172412527

Observation 140eb370-c340-491e-8d98-a72e3e1bc598 · outbound

This paper cites Has generative artificial intelligence solved inverse materials design? Matter 2024, 7, 2355--2367.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Has generative artificial intelligence solved inverse materials design? Matter 2024, 7, 2355--2367

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.956421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:54.998347Z digest=sha256:4ee35c4ec70e9780aed135360371bf0c1ad3513404165141327922c430989676

Observation 92ce2fed-c8b6-4d6a-a7c7-96e569e3e9cf · outbound

This paper cites N.; Kaiser, .; Polosukhin, I.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models N.; Kaiser, .; Polosukhin, I

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:55.084100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:55.084100Z digest=sha256:f8b52de03208116077f2743657a4d08f886da8d8a10c264afe7f33cf3265a138

Observation 1171e5a8-41c0-4e31-af02-1298e758c5a5 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Language Models are Unsupervised Multitask Learners

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.785081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.142848Z digest=sha256:b8e7562f099a70a8a469a6cba908e8ddfbcfbc03fe9c364f88bb6845ee14fe76

Observation a93bdcfa-08ec-484c-a2b9-3e7e18867320 · outbound

This paper cites K.; Priyakumar, U.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models K.; Priyakumar, U

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.629536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.284237Z digest=sha256:c11b328a5a364d0a6223a045bd5560c777c55c8f82b30ef52a90d9851abd876e

Observation 7523bbd3-8c48-49cd-bd0d-ecb006dc467d · outbound

This paper cites J.; Rosen, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models J.; Rosen, A

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.460591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.411139Z digest=sha256:446fd01d31051a7ce95ee90139df48bdff7157581e72bbd676fb713d0686a5b3

Observation 6e71a4a0-6990-4a1a-9fdd-1d0d4c2318a7 · outbound

This paper cites SMILES, a chemical language and information system.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models SMILES, a chemical language and information system

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.362428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.537578Z digest=sha256:9a54e4c4e47324f24adf0a9b39e56509ed43bf4753b224af47b6c3a02f9ea309

Observation 135553ac-b48b-4db4-af1b-3bb497fced1b · outbound

This paper cites A.; Ramsden, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Ramsden, S

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.164672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.640780Z digest=sha256:21ab26bff44b8f6ce9c65cad8ed83402e3d5e82dd0cbc00a8329d3ef97eeab44

Observation d2eac23a-33bb-4cf5-8569-6c9292a2f145 · outbound

This paper cites Inverse design of porous materials using artificial neural networks.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Inverse design of porous materials using artificial neural networks

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:06.102587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.748112Z digest=sha256:9685f97d35820661f0d3e923d7c616a8c5de81b671108cc414ed5eb21ab1ac22

Observation 461690a5-201f-4252-82c8-ec63c4bc91a0 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:55.863433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:55.863433Z digest=sha256:927c999b9defd2a2083d7f5a0c25d029758622e949f07f5abee1b8154a56c67a

Observation b4df6e82-4de5-42dc-ba38-66cfe78e6be5 · outbound

This paper cites Reinforced Adversarial Neural Computer for de Novo Molecular Design.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Reinforced Adversarial Neural Computer for de Novo Molecular Design

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:05.956105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:55.942730Z digest=sha256:397d06ed60eb03d8eaa9487a963cafcac3e37c1f383e3abe02b43ebd05d17c11

Observation 604c7581-cacc-40ef-96d7-ba050ff3eebe · outbound

This paper cites Deep reinforcement learning for de novo drug design.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Deep reinforcement learning for de novo drug design

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:05.842070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.058980Z digest=sha256:8cf7e5c8c47a26633edd8a3c922dde4645c6cc38f0a85514e2339609407839b8

Observation c2aad460-813f-475e-a830-bbfea8e0ed1e · outbound

This paper cites Molecule generation using transformers and policy gradient reinforcement learning.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Molecule generation using transformers and policy gradient reinforcement learning

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:05.703492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.150421Z digest=sha256:5f3121c78933aa9e4afb6936f7c80c56b13273f851e1e282e61a2a619e83fa6f

Observation d1069d32-ddec-4311-9056-9b2711d84cc8 · outbound

This paper cites Deep Reinforcement Learning for Inverse Inorganic Materials Design.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Deep Reinforcement Learning for Inverse Inorganic Materials Design

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:56.260076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:56.260076Z digest=sha256:fdbe78aef790ec3ebdf265f98c87d14cfa60af9fcbe276d2b7a4ec99c8203f2d

Observation 3546376d-34ec-447b-884c-a00d28fdcf18 · outbound

This paper cites Inverse design of metal--organic frameworks for direct air capture of CO 2 via deep reinforcement learning.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Inverse design of metal--organic frameworks for direct air capture of CO 2 via deep reinforcement learning

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:05.534262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.390557Z digest=sha256:209941a5481724e4a732fcdbb2455ed4b5bb810875907a437070abe17ab15948

Observation caf934d3-7121-4562-9c8c-0ef37e56c0a4 · outbound

This paper cites T.; Yaghi, O.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models T.; Yaghi, O

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:05.308086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.525015Z digest=sha256:75dca0fa253fcc943178cd47a65902e4d15f722e6030120d5c9ff7208c00f7b7

Observation d5fee5ec-c5c0-4111-988e-5c453319633b · outbound

This paper cites ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models ChatMOF: an artificial intelligence system for predicting and generating metal-organic frameworks using large language models

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:05.101091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.638601Z digest=sha256:63f5144810ffe8037d86b832a3329e26db64864aec673ae8e01feaf1cc717f02

Observation f5224278-463f-4093-8242-11532e3e013e · outbound

This paper cites S.; Iyer, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Iyer, S

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:04.883465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.775082Z digest=sha256:63b07e0642704ffca45358325462dcd4a950a2eae5dc389edd627f37a17aedfa

Observation 2fd95d33-6dbe-4b99-8fbe-af219f0ee309 · outbound

This paper cites S.; Fung, V.; Huck, P.; O’Donnell, C.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Fung, V.; Huck, P.; O’Donnell, C

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:04.694682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.913682Z digest=sha256:b030bce435a0b61f63cf099ae087e7047dcb20c5961feec3e7fcc5a7f2d5d7a9

Observation c40c2c2c-1ae2-47eb-b028-8788dc3a7d46 · outbound

This paper cites S.; McAllester, D.; Singh, S.; Mansour, Y.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; McAllester, D.; Singh, S.; Mansour, Y

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:04.470082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:56.999494Z digest=sha256:4976b0f9e29bff7143d4761c116e7cbcdeead3c15d841707966f255412cfe631

Observation 74992a4d-67aa-4886-9e86-177bddfd1b19 · outbound

This paper cites G.; Veenstra, M.; Matzger, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Veenstra, M.; Matzger, A

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:04.299736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.135729Z digest=sha256:9fbb84da44933567a388c0978c0f57a5f07765efdbd9a0c3ed3e2ee5207b921f

Observation dcba6c83-5dda-48b3-918a-2f14b7d38196 · outbound

This paper cites G.; Camp, J.; Haranczyk, M.; Sikora, B.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models G.; Camp, J.; Haranczyk, M.; Sikora, B

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:04.150981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.256953Z digest=sha256:b0564afaf972ac49325e170ecfd023d6ec42c1e68e2fd840a66629dea49ce248

Observation 149e19ab-691f-497c-82f6-823fc5ca53f5 · outbound

This paper cites A.; Sumida, K.; Herm, Z.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Sumida, K.; Herm, Z

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:03.973892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.367005Z digest=sha256:d416a9da878098110bd5a216994265f6954aff54c9f02c6822a9769571f4eae2

Observation 1fe21f04-f3a1-4f55-bc21-2ca3402c6a71 · outbound

This paper cites H.; Park, S.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models H.; Park, S

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:03.778313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.463615Z digest=sha256:95502d6300b7de4852949ac09f1cea3fe47a2492aa0c2dc5b6fbda9a63495241

Observation 318a9cdd-f808-40bd-b9b0-635ae5ac2aec · outbound

This paper cites Q.; Mai, T.; Pham-Tran, N.-N.; Kawazoe, Y.; Mizuseki, H.; Nguyen-Manh, D.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Q.; Mai, T.; Pham-Tran, N.-N.; Kawazoe, Y.; Mizuseki, H.; Nguyen-Manh, D

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:03.597839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.606679Z digest=sha256:db181147449dda68b474bed784b2aaeb99ffbfbdd428d0eb6c929087dc34f863

Observation cebee431-362c-424c-986d-fd9e5ca7e8f3 · outbound

This paper cites He, Yabing and Zhou, Wei and Qian, Guodong and Chen, Banglin.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models He, Yabing and Zhou, Wei and Qian, Guodong and Chen, Banglin

Reference 75

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T12:17:00.151347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.732085Z digest=sha256:ce3d17cbb58656057f55b4568db1b8b340853ee172642c77a74e6624c93a483a

Observation 341e03ac-7c94-42d5-8648-fcefd0d8683f · outbound

This paper cites A.; Bekas, C.; Lee, A.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models A.; Bekas, C.; Lee, A

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:03.364244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.862133Z digest=sha256:f8de6ab1dae756207bc9dac14bb23b453c46e481ee98df253c81002998f9890d

Observation 4300675f-e024-4568-9f59-b953d8e944e6 · outbound

This paper cites Found in Translation.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Found in Translation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:03.124417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:57.959829Z digest=sha256:c5d62e2223d96971aa2907a04f91bb2f1f6c9209d692000416def82b6468b9f0

Observation d275aa9a-219a-4e1c-ab26-a3775264606d · outbound

This paper cites C.; Nair, V.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Nair, V

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:02.903771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:58.064081Z digest=sha256:61ca901510b9cce0f6cb1e1c1a0ae242122b9677cb59f5e311d60cc1886cfffb

Observation 3da9958d-7d3f-4aa8-b8e3-c9d20905eaa7 · outbound

This paper cites S.; Skorupskii, G.; Dincă, M.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models S.; Skorupskii, G.; Dincă, M

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:02.659059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:58.265688Z digest=sha256:4d81e30300270d4160fb20bef5d65fe7d2269ea96f5c22e31ed0bc0f7becb0ac

Observation e344a140-b82a-4ddb-9941-eb06cc6897b9 · outbound

This paper cites C.; Elias, J.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models C.; Elias, J

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:02.385835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:58.402620Z digest=sha256:e2d78ae9123e1039b998bbb35e89c6bafdc5a8c05c63a9c6896586d238d230f5

Observation f0c3e058-98d1-4c7e-acd9-bc13f979e1ee · outbound

This paper cites Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Identification of optimal metal-organic frameworks by machine learning: Structure decomposition, feature integration, and predictive modeling

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:02.135364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:58.493114Z digest=sha256:1c3e09fbb9920c05880e835f07b184114e2b215c4cf066746ed7e77dbc87a2a7

Observation 3730f6dc-f7fd-472f-bb7b-3d1d0cc46785 · outbound

This paper cites V.; Soldatov, M.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models V.; Soldatov, M

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:01.841081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:58.595525Z digest=sha256:8a0398bebe3a425b4f6b31aadeb6cd14e785e54917974a787d0d569b873eb960

Observation a8ade122-ac89-4f40-ae8b-063ae6cef45d · outbound

This paper cites Proximal Policy Optimization Algorithms.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Proximal Policy Optimization Algorithms

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:58.687488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:58.687488Z digest=sha256:7c9f7d668362483dbcb60c10d5c2d0c46f19661b0fe55d614587fd7bc20ba9d6

Observation fbb93672-6cb8-4a78-a78b-16ace10bd933 · outbound

This paper cites Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:58.800415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:58.800415Z digest=sha256:ac3e83c6b2b878c1f1546036765d9ca5d49bff873da88fd1f2fe850330ed2feb

Observation 626a9a52-db7e-41f1-a279-4cfb1713f9f8 · outbound

This paper cites M.; Jablonka, K.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models M.; Jablonka, K

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:01.574177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:58.928314Z digest=sha256:2e1f3c0d5f578e4e4e233a47b3a9ad5e82b89f2530978399f947b7711f38b4d6

Observation 44f4a26c-b5f0-4be2-aaff-69f928730af5 · outbound

This paper cites Metal–organic frameworks for artificial photosynthesis and photocatalysis.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Metal–organic frameworks for artificial photosynthesis and photocatalysis

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:01.345875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:59.060823Z digest=sha256:6bb1ac86af3058f3f2178ba55b0be812fc6764245cc0448761b65760eb345499

Observation 848aef37-9fa9-4186-a76d-82e56dc8cb0c · outbound

This paper cites E.; O’Keeffe, M.; Yaghi, O.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models E.; O’Keeffe, M.; Yaghi, O

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:01.144823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:59.223289Z digest=sha256:910f013598486b9a5ea3df76563a092731f651447442a7291483ed8f9a1e433c

Observation abbce9ec-03bb-41cb-ab94-c51a6472e523 · outbound

This paper cites Metal-Organic Framework Composites for Catalysis.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models Metal-Organic Framework Composites for Catalysis

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:00.894276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:59.380561Z digest=sha256:794c15a3a694a5d0826d82e15c9457bda5169fadccaea55cb5f5dd6a5b2d391a

Observation 166574cb-7cc2-4821-bd9b-64c9e4bed8b4 · outbound

This paper cites D.; Stavila, V.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models D.; Stavila, V

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:17:00.690268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:16:59.503982Z digest=sha256:25ae51532d6bcdd363ad68b7e14602b89fcf3b03905de2b5f4205061b3486d27

Observation 2315ffdc-6e65-4b2f-b28c-2fd83670899d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T12:16:59.659347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:16:59.659347Z digest=sha256:ef60d5bc40a00ed1dfdc1ec595c334bcddc0386b653d51a780be5f49dbfdb6bb

Pith citing papers

No inbound Pith citation observations are available.