Paper Citation Record · LEDGER

Molecular representation learning with language models and domain-relevant auxiliary tasks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2011.13230.

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

pith.paper-citation-record.v1
2011.13230 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:46:02.930024Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T17:18:43.070868Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 2ca86a01-6b70-4747-89c6-a8c17a330f74 · inbound

Synergistic Benefits of Joint Molecule Generation and Property Prediction cites this paper.

Synergistic Benefits of Joint Molecule Generation and Property Prediction Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:46:53.646417Z

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 0d06ac83-c16b-408e-97f1-43f5f9916478 · inbound

FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics cites this paper.

FlexMS is a flexible framework for benchmarking deep learning-based mass spectrum prediction tools in metabolomics Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T19:21:30.821423Z

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 f7d9aca3-5598-41f8-a41e-ae2c816cba16 · inbound

SIGMA: Semantic Identifier Grouping for Molecular Autoregression cites this paper.

SIGMA: Semantic Identifier Grouping for Molecular Autoregression Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T05:46:02.930024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ea4057-0ce7-471c-947a-60cd07cf1c5d · inbound

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction cites this paper.

When Does Context Help? A Systematic Study of Target-Conditional Molecular Property Prediction Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:25:52.962862Z

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 39c1a2ba-7238-404a-8d5f-30817cefc9a6 · 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 Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-14T19:57:53.743828Z

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 022f308a-5202-4c68-b76c-ee9686e55d54 · inbound

Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter cites this paper.

Physics-Aware Auxiliary Losses Improve Out-of-Distribution Generalization of a GNN Synthesizability Filter Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:57:56.087635Z

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 c086bf08-29ca-4216-b299-f50b5799c781 · inbound

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning cites this paper.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T17:18:43.072493Z

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.