Paper Citation Record · LEDGER

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning

As of 10 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.02140.

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

pith.paper-citation-record.v1
2607.02140 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-03T17:10:16.197813Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

14 of 14 outbound references displayed

verified exact3
verified fuzzy6
unresolved1
parse uncertain0
malformed identifier2
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06ba9ae0-a941-4787-8afb-cf44a0369c13 · outbound

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

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.065942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c086bf08-29ca-4216-b299-f50b5799c781 · outbound

This paper cites Molecular representation learning with language models and domain-relevant auxiliary tasks.

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 2026-08-10T06:31:04.303077+00:00.

Observation bd0a14f6-663f-40ba-ab7e-84db0fd26569 · outbound

This paper cites David Fooshee, Aaron Mood, Eugene Gutman, Mo- hammadamin Tavakoli, Gregor Urban, Frances Liu, Nancy Huynh, David Van Vranken, and Pierre Baldi.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning David Fooshee, Aaron Mood, Eugene Gutman, Mo- hammadamin Tavakoli, Gregor Urban, Frances Liu, Nancy Huynh, David Van Vranken, and Pierre Baldi

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:41.946958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 318e6435-3b80-47ca-86b1-934a143ff8e0 · outbound

This paper cites The Llama 3 Herd of Models.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning The Llama 3 Herd of Models

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T17:18:43.073936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbcaa966-e922-4cac-a1a6-8caf31d5c36b · outbound

This paper cites Association for Computational Linguistics.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning Association for Computational Linguistics

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:41.938158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce389243-abd8-4341-b6cc-abe71ea963b9 · outbound

This paper cites ap- plication to the study of biodegradation.Journal of Chemical Information and Computer Sciences, 32(5):474–482.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning ap- plication to the study of biodegradation.Journal of Chemical Information and Computer Sciences, 32(5):474–482

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:41.942210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 30762a47-3068-479b-967f-8d44c5efd3ce · outbound

This paper cites Matthew L.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning Matthew L

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-03T17:18:43.071488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation dc1eddf9-2b2a-4891-a9b7-8a9fb161950a · outbound

This paper cites InProceedings of the 58th Annual Meet- ing of the Association for Computational Linguistics, pages 4609–4622, Online.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning InProceedings of the 58th Annual Meet- ing of the Association for Computational Linguistics, pages 4609–4622, Online

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:41.937490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 77ffbdc6-8ba6-4ad1-8eb9-6c22afd57980 · outbound

This paper cites Ian Tenney, Dipanjan Das, and Ellie Pavlick.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning Ian Tenney, Dipanjan Das, and Ellie Pavlick

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:41.940277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 08c08e6f-a59c-4cf6-9f49-566238af25e5 · outbound

This paper cites MoleculeNet: A Benchmark for Molecular Machine Learning.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning MoleculeNet: A Benchmark for Molecular Machine Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-03T17:18:43.075193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f09c71c2-929a-47d9-beb6-96c9912ec838 · outbound

This paper cites roberta-zinc-480m (Heyer, 2023) is a RoBERTa- based 14 layer, ∼102M parameter model trained on 480M molecules sampled from the ZINC database (Irwin and Shoichet,.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning roberta-zinc-480m (Heyer, 2023) is a RoBERTa- based 14 layer, ∼102M parameter model trained on 480M molecules sampled from the ZINC database (Irwin and Shoichet,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-05T05:00:41.930901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38546e53-0323-40bf-ab1b-f8815a343a61 · outbound

This paper cites For the experiments, we select models that are comparable and only differ with respect to their architecture and training data sizes.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning For the experiments, we select models that are comparable and only differ with respect to their architecture and training data sizes

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-07-05T05:00:41.944485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation bb949fec-a502-4df8-8a29-3f76cb1eb5db · outbound

This paper cites an unresolved cited work.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-07-05T05:00:41.928475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 11d45200-3e02-4754-b0ec-84b252ebf728 · outbound

This paper cites molecular finger- prints.

Probing Chemical Language Models: Effects of Pre-training and Fine-tuning molecular finger- prints

Reference 14

Resolution: malformed identifier; raw_fallback, observed 2026-07-05T05:00:41.936239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.