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Paper Citation Record · LEDGER

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.11694.

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

pith.paper-citation-record.v1
2307.11694 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:32:27.817747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T02:20:30.332393Z

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 8fb8f295-1be3-4bcd-b20d-4ad061cde1bd · inbound

An Auditable Agent Platform For Automated Molecular Optimisation cites this paper.

An Auditable Agent Platform For Automated Molecular Optimisation SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T04:32:27.817747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:32:27.817747Z digest=sha256:2f92eab43df030035ed78a042b35ba1e47e51de4d77b97daf8d99b821b39304c

Observation ea32f876-5e12-4e9f-94d9-3a2edc9fa488 · inbound

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery cites this paper.

DrugPlayGround: Benchmarking Large Language Models and Embeddings for Drug Discovery SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:20:30.335749Z

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.

source=pdf_text observed=2026-05-16T02:17:47.015442Z digest=sha256:8e0aede720f8c01292d0a4effb975b0618969bb5ecd7942771246e5ab0b9f36f