Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
C5T5: Controllable Generation of Organic Molecules with Transformers
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2108.10307.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T17:48:48.841783Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-08T13:29:11.082574Z
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 52f0b00a-2644-4a2c-975b-c0f2b39954a9 · inbound
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization cites this paper.
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization C5T5: Controllable Generation of Organic Molecules with Transformers
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:48:48.841783Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08c26f04-fe45-446c-bb7e-c8d7bbe3b902 · inbound
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization cites this paper.
DrugImproverGPT: A Large Language Model for Drug Optimization with Fine-Tuning via Structured Policy Optimization C5T5: Controllable Generation of Organic Molecules with Transformers
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T13:29:11.090606Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 52ae48d5-349e-41b2-a344-7f7bc9ee99de · inbound
An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design cites this paper.
An Encoder-Decoder Foundation Chemical Language Model for Generative Polymer Design C5T5: Controllable Generation of Organic Molecules with Transformers
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:48:29.467114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.