Paper Citation Record · LEDGER

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2102.09548.

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

pith.paper-citation-record.v1
2102.09548 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T06:02:39.646119Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T09:49:44.733119Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e9c04ab8-e8e9-4409-abc5-a9d6cf6b5028 · inbound

Data Collaboration Analysis with Orthonormal Basis Selection and Alignment cites this paper.

Data Collaboration Analysis with Orthonormal Basis Selection and Alignment Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:38:50.215345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 4aec4e82-c72c-45e7-933e-1b1aebdfde20 · inbound

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design cites this paper.

Quantum-inspired Reinforcement Learning for Synthesizable Drug Design Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 23

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T20:33:25.774367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 99ab0e01-c5df-4927-9917-8ecc3d55025a · inbound

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction cites this paper.

GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-22T20:32:04.706822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a516523f-0b9e-4124-9c41-60213af9c91e · inbound

Quantum-Enhanced Multi-Task Learning with Learnable Weighting for Pharmacokinetic and Toxicity Prediction cites this paper.

Quantum-Enhanced Multi-Task Learning with Learnable Weighting for Pharmacokinetic and Toxicity Prediction Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T06:02:39.646119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0dba11f-e14a-4e6e-abe4-ca0df14f8285 · inbound

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models cites this paper.

Suiren-1.0 Technical Report: A Family of Molecular Foundation Models Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:18:26.865305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 845ed045-2a32-4437-9e4a-0577df227113 · inbound

Tabular foundation models for in-context prediction of molecular properties cites this paper.

Tabular foundation models for in-context prediction of molecular properties Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:43:01.457037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3817b2b8-7e17-4fe3-ba50-403ea1d4b3e0 · inbound

How Creative Are Large Language Models in Generating Molecules? cites this paper.

How Creative Are Large Language Models in Generating Molecules? Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:01:00.635664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 7b945c9b-67b0-4d36-8b49-1b53e3b512e5 · inbound

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:16:27.787990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0df95777-276c-4a0e-9701-b99c0486edcf · inbound

Do Larger Models Really Win in Drug Discovery? A Benchmark Assessment of Model Scaling in AI-Driven Molecular Property and Activity Prediction cites this paper.

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T17:42:42.027789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 570ca168-c04a-4a08-add1-9db4092c4953 · inbound

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction cites this paper.

Chem-GMNet: A Sphere-Native Geometric Transformer for Molecular Property Prediction Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:57:53.666293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 343193e2-5acd-4e85-a803-9e3b719ba4c4 · inbound

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks cites this paper.

BioXArena: Benchmarking LLM Agents on Multi-Modal Biomedical Machine Learning Tasks Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T19:32:43.741120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 136cd896-b219-49e8-b62c-d6f21864d677 · inbound

MolLingo: Molecule-Native Representations for LLM-Powered Scientific Agents cites this paper.

MolLingo: Molecule-Native Representations for LLM-Powered Scientific Agents Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:53:26.842746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab7d89ff-2940-4152-9ea6-5d008610361e · inbound

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation cites this paper.

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:43:25.678139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 66c5e55c-6ecb-4796-b580-d0459dc1113c · inbound

A Systematic Evaluation of Molecular Mixture Behavior Prediction cites this paper.

A Systematic Evaluation of Molecular Mixture Behavior Prediction Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T09:03:16.090796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cbcc3351-6699-4e84-be49-5ec353330e0c · inbound

Towards Diverse Scientific Hypothesis Search with Large Language Models cites this paper.

Towards Diverse Scientific Hypothesis Search with Large Language Models Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T04:07:36.984496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fab4e75a-be5e-4d9b-85f5-f2fb9b1be29d · inbound

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales cites this paper.

Benchmarking AI Agents for Addressing Scientific Challenges Across Scales Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:28:04.315865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 928c30a1-6f3e-44e9-9afa-ba29ef50f030 · inbound

SupraBench: A Benchmark for Supramolecular Chemistry cites this paper.

SupraBench: A Benchmark for Supramolecular Chemistry Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T13:48:20.824629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6f0771d9-e926-4667-8eef-9f2038309188 · inbound

What Does a Chemical Language Model Know About Molecules? cites this paper.

What Does a Chemical Language Model Know About Molecules? Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:49:44.734537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 16ed3773-0698-4de8-a59d-994b1782776c · inbound

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization cites this paper.

Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:08.618142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bcc93cad-e4cc-432e-8bbd-ddc5ada31934 · inbound

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology cites this paper.

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-13T06:39:26.167502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 332940d6-47d6-40ed-945b-f6bd30f58abe · inbound

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology cites this paper.

TheBioCollection: Unified Pre-Training Scale LLM Corpus for Biology Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T08:00:06.267659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3becf9b1-422d-4dcc-8b43-208e8e79e4f3 · inbound

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation cites this paper.

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:24.990922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.