Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.10776.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:02:19.069930Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T20:48:56.451405Z
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 7782ad5e-760e-416d-99d8-4e3369f4fe71 · inbound
AIGS: Generating Science from AI-Powered Automated Falsification cites this paper.
AIGS: Generating Science from AI-Powered Automated Falsification Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:02:19.069930Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f7bc17e-7a29-4add-b864-771090148c8a · inbound
A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities cites this paper.
A Survey of Large Language Models in Discipline-specific Research: Challenges, Methods and Opportunities Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:24:26.482405Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be24d8ee-b582-42c8-b954-dabf75ac733d · inbound
VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair cites this paper.
VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T04:12:02.204723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bd71fce3-1d7b-44ab-9669-e3c8d3d19486 · inbound
El Agente Quntur: A research collaborator agent for quantum chemistry cites this paper.
El Agente Quntur: A research collaborator agent for quantum chemistry Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T06:50:42.486256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d79aed1a-ae5c-4dbc-a112-643276ddad4c · inbound
OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.
OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Reference 100
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T20:48:56.452751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2bd47b80-09e0-4129-a226-625198a0635e · inbound
Agentic generation of verifiable rules for deterministic, self-expanding reaction classification cites this paper.
Agentic generation of verifiable rules for deterministic, self-expanding reaction classification Chemist-X: Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:26:56.245013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.