Paper Citation Record · LEDGER

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.01137.

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

pith.paper-citation-record.v1
2506.01137 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:56:59.768386Z

measured 33 of 33 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

33 of 33 outbound references displayed

verified exact21
verified fuzzy2
unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b32f555d-e5a7-4845-9460-b38caf83740d · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 1

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.144989Z

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 c29e3e3e-07f8-4194-bea5-b72de60ad49f · outbound

This paper cites An introduction to biological NMR spectroscopy.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists An introduction to biological NMR spectroscopy

Reference 2

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.134500Z

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 2a8776a8-7a65-44e1-a7ad-bdcc0b32af9f · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:57:00.518500Z

Source-reported events for the cited work

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Observation 942c1034-a647-4830-bf40-6a29a8247838 · outbound

This paper cites NMR shift prediction from small data quantities.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists NMR shift prediction from small data quantities

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.124439Z

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Observation 540f2cb6-6b1f-495f-8a37-a03132f25c8f · outbound

This paper cites A.; Sarotti, A.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists A.; Sarotti, A

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:57:00.429249Z

Source-reported events for the cited work

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Observation 8e356a3b-58e2-4419-9df2-921af5563273 · outbound

This paper cites Time-optimized protein NMR assignment with an integrative deep learning approach using AlphaFold and chemical shift prediction.Sci.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Time-optimized protein NMR assignment with an integrative deep learning approach using AlphaFold and chemical shift prediction.Sci

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.114870Z

Source-reported events for the cited work

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Observation 7f507d47-bb2e-4cf0-94aa-cfabc2f61134 · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 7

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.104951Z

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 beb9343d-4b67-4dac-b90d-4570610c0a71 · outbound

This paper cites S.; Schlörer, N.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists S.; Schlörer, N

Reference 9

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This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.086579Z

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Observation f7426a4c-283f-46cb-b5fb-de68d77124b2 · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:00.563234Z

Source-reported events for the cited work

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Observation cf093c02-5110-4f7c-8e01-4d3889f61827 · outbound

This paper cites Computer-aided prediction of 125Te and13CNMRchemicalshiftsofdiorgano tellurides.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Computer-aided prediction of 125Te and13CNMRchemicalshiftsofdiorgano tellurides

Reference 12

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T11:57:00.077638Z

Source-reported events for the cited work

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Observation 82691a64-62bf-49aa-86f5-9cae17a2334d · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T11:57:00.067276Z

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 80e83dc5-97f1-4a5b-aea8-b1e8a714acc7 · outbound

This paper cites PubChem Bioassay Record for AID 504652, Antagonist of Human D 1 Dopamine Receptor: qHTS, Source: National Center for Advancing Translational Sciences (NCATS).

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists PubChem Bioassay Record for AID 504652, Antagonist of Human D 1 Dopamine Receptor: qHTS, Source: National Center for Advancing Translational Sciences (NCATS)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.554145Z

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Observation e7d3f3a1-b728-43d9-81dd-957aafea46e7 · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:00.545167Z

Source-reported events for the cited work

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Observation bb797fee-982d-489a-8a7e-5b73c99e4b6b · outbound

This paper cites PubChem Bioassay Record for AID 1117267, Source: The Scripps Research Institute Molecular Screening Center.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists PubChem Bioassay Record for AID 1117267, Source: The Scripps Research Institute Molecular Screening Center

Reference 17

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:57:00.363246Z

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 64341819-0f92-4c64-ae96-3c4b94084f05 · outbound

This paper cites Transthyretin: The Servant of Many Masters.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Transthyretin: The Servant of Many Masters

Reference 18

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.995614Z

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 684219d7-268a-41cf-9525-d49da5724e71 · outbound

This paper cites Transthyretin: Its Function and Amyloid Formation, Neurochem.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Transthyretin: Its Function and Amyloid Formation, Neurochem

Reference 19

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T11:57:00.294782Z

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Observation 9f9d3e6d-695d-4150-b719-63726cf065cf · outbound

This paper cites A Narrative Review of the Role of Transthyretin in Health and Disease.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists A Narrative Review of the Role of Transthyretin in Health and Disease

Reference 20

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.986707Z

Source-reported events for the cited work

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Observation fb9eac3e-77fa-41cb-8a2a-25bdce67d60b · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 21

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.976681Z

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 356df2da-8f64-495c-ae5b-4e9cc2be60d1 · outbound

This paper cites Transthyretin enhances nerve regeneration.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Transthyretin enhances nerve regeneration

Reference 22

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:57:00.231921Z

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 ce1e5f1f-b453-4a02-976a-3f8416d04ac0 · outbound

This paper cites Transthyretin internalization by sensory neurons is megalin mediated and necessary for its neuritogenic activity, J Neurosci.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Transthyretin internalization by sensory neurons is megalin mediated and necessary for its neuritogenic activity, J Neurosci

Reference 23

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.967055Z

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 07f1e892-1983-4285-83fa-bfc536cb18e8 · outbound

This paper cites A.; Alemi, M.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists A.; Alemi, M

Reference 24

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.958202Z

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 b8123635-b519-470a-b178-72d7d6e19f07 · outbound

This paper cites J.; Sousa M., M.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists J.; Sousa M., M

Reference 25

Resolution: malformed identifier; doi_truncated, observed 2026-08-07T11:56:59.949252Z

Source-reported events for the cited work

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Observation 3c521c47-d86e-4e55-9e77-5eeb408fb297 · outbound

This paper cites The role of transthyretin in cell biology: impact on human pathophysiology.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists The role of transthyretin in cell biology: impact on human pathophysiology

Reference 26

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.939440Z

Source-reported events for the cited work

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Observation a508b777-6401-4f3b-8354-1a1b993cb9da · outbound

This paper cites Application of machine learning for predicting G9a inhibitors, Digital Discovery, 2024, 3(10), 2010-2018, DOI: 10.1039/D4DD00101J.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Application of machine learning for predicting G9a inhibitors, Digital Discovery, 2024, 3(10), 2010-2018, DOI: 10.1039/D4DD00101J

Reference 27

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.929268Z

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 ffb8b6d9-1d16-4f75-aa11-e7eb29890c92 · outbound

This paper cites Targeting Neurodegeneration: Three Machine Learning Methods for G9a Inhibitors Discovery Using PubChem and Scikit-learn.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Targeting Neurodegeneration: Three Machine Learning Methods for G9a Inhibitors Discovery Using PubChem and Scikit-learn

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:56:59.919515Z

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 d69a616c-c825-4860-bf63-990f330cc356 · outbound

This paper cites Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties

Reference 29

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.905573Z

Source-reported events for the cited work

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Observation 26caa46c-910f-4d14-8cdf-b9ea0447c090 · outbound

This paper cites Computation of octanol-water partition coefficients by guiding an additive model with knowledge, J.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Computation of octanol-water partition coefficients by guiding an additive model with knowledge, J

Reference 30

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.894980Z

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 a88a3a36-642b-4c10-9b7d-1623a831262f · outbound

This paper cites Interpretation and use of standard atomic weights (IUPAC Technical Report), Pure Appl.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Interpretation and use of standard atomic weights (IUPAC Technical Report), Pure Appl

Reference 31

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.885213Z

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 2778ca1e-c7f1-4f29-a34d-90be685e756e · outbound

This paper cites Predicting novel pharmacological activities of compounds using PubChem IDs and machine learning (CID-SID ML model), ArXiv, 2025, Preprint at DOI: 10.48550/arXiv.2501.02154.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Predicting novel pharmacological activities of compounds using PubChem IDs and machine learning (CID-SID ML model), ArXiv, 2025, Preprint at DOI: 10.48550/arXiv.2501.02154

Reference 32

Resolution: verified exact; doi, observed 2026-08-07T11:56:59.872450Z

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 641e0ade-541e-47a4-95e1-cdf0ba9e2765 · outbound

This paper cites Gindulyte, A.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Gindulyte, A

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T11:56:59.762156Z

Source-reported events for the cited work

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Observation ca812a3b-7b68-4e18-9683-7909a14b611a · outbound

This paper cites PubChem Bioassay Record for AID 1996, Aqueous Solubility from MLSMR Stock Solutions, Source: Burnham Center for Chemical Genomics.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists PubChem Bioassay Record for AID 1996, Aqueous Solubility from MLSMR Stock Solutions, Source: Burnham Center for Chemical Genomics

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:57:00.536556Z

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 753b4207-9191-494b-be73-e7d492baaf35 · outbound

This paper cites an unresolved cited work.

Comparative analysis of computational approaches for predicting Transthyretin (TTR) transcription activators and human dopamine D1 receptor antagonists Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:57:00.527748Z

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.