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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 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:24:40.105691Z

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 55afc6d2-6da2-4504-828b-ee2e6d9ba036 · inbound

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions cites this paper.

Representations Shape Weak-to-Strong Generalization: Theoretical Insights and Empirical Predictions Molecular representation learning with language models and domain-relevant auxiliary tasks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T18:24:40.105691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:24:40.105691Z digest=sha256:c71ba9e6ebbb0f3a999b4c458c8f95f3c696dfdf2b216f45110edf7615720036

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.

source=pdf_text observed=2026-05-22T17:45:35.968422Z digest=sha256:7ebd7143830602f68b0faae685e0e45aa87e0ede9b34f0005a86ac1dd36e22a3

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.

source=pdf_text observed=2026-05-15T19:21:15.986874Z digest=sha256:f32574fae75b776cfd4c117fda3d0e7159dd564c31446ecbcc371dc491456486

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.

source=pdf_text observed=2026-08-04T05:46:02.930024Z digest=sha256:4fbddafab575ca7808e5269db3b3b7484edef357e5289d0c429c759a141fe939

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.

source=pdf_text observed=2026-05-10T19:09:24.901667Z digest=sha256:b7866942e30431ed49376c73e354ab85a7cd0c22b187a4f2e438553b167335d6

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.

source=pdf_text observed=2026-05-14T19:55:19.362468Z digest=sha256:4a12decb04d0e899a7041a316d3a05f4609d691e73ab6b8d5b84ebb6fd6c7fe6

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.

source=pdf_text observed=2026-06-27T10:18:17.900980Z digest=sha256:3956ab5b0b772d3acfd02e578b23932663983af54292d08d6fd4c1735a018b99

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.

source=pdf_text observed=2026-07-03T17:10:16.197813Z digest=sha256:c10f5fa2cf8f2bfe0c847c68fcf14ad11869cc37d3eff40a83ebef2d6228732a