Paper Citation Record · LEDGER

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks

As of 9 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2407.09514.

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

pith.paper-citation-record.v1
2407.09514 v3

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T23:42:40.274245Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

12 of 12 outbound references displayed

verified exact2
verified fuzzy10
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35257553-001d-4adb-8b28-bb94b7c82bad · outbound

This paper cites B.; Kim, Y.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks B.; Kim, Y

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.957577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 258c3090-2e1e-43f7-a5b7-0f5fc659301c · outbound

This paper cites A.; Mausam.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks A.; Mausam

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.950375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99446ee1-3b41-4a30-8d90-3222be2065d4 · outbound

This paper cites Mining insights on metal–organic framework synthesis from scientific literature texts.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks Mining insights on metal–organic framework synthesis from scientific literature texts

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.953730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54a3fcfb-54fa-4da3-9186-b5d7db8bebbd · outbound

This paper cites ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:43:38.100758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5290acd9-1b83-4524-81d6-28b3ee447bd0 · outbound

This paper cites polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks polyBERT: a chemical language model to enable fully machine-driven ultrafast polymer informatics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.939412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6418cb3-68e9-42f7-9248-88e4f9b47236 · outbound

This paper cites Periodic graph transformers for crystal material property prediction.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks Periodic graph transformers for crystal material property prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.942967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d57d34e-a91c-4fb0-879a-d02a9088c519 · outbound

This paper cites P.; Kiddle, S.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks P.; Kiddle, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.946639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3c07363-bede-4e0e-8d10-f991d178601a · outbound

This paper cites -k.; Choudhary, A.; Campbell, C.; Agrawal, A.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks -k.; Choudhary, A.; Campbell, C.; Agrawal, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.964335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d071307-a996-4236-becb-b894449ddbd5 · outbound

This paper cites Enhancing Structure–Property Relationships in Porous Materials through Transfer Learning and Cross -Material Few -Shot Learning.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks Enhancing Structure–Property Relationships in Porous Materials through Transfer Learning and Cross -Material Few -Shot Learning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.968184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d1db3e3b-7575-4d9d-bd42-ec3b27286e22 · outbound

This paper cites (44) mofchecker.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks (44) mofchecker

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.971334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3c2c9ac4-a249-4add-a9be-42e0dc80ec67 · outbound

This paper cites (46) Janet, J.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks (46) Janet, J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T23:43:38.960865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23c4fd0e-57d8-47e1-98da-d6f47c504313 · outbound

This paper cites an unresolved cited work.

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks Unresolved cited work

Reference 12

Resolution: verified exact; doi, observed 2026-05-23T23:43:37.833237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.