Paper Citation Record · LEDGER

Are large language models superhuman chemists?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.01475.

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

pith.paper-citation-record.v1
2404.01475 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.790176Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 459e5491-99e7-4447-84c4-e24d25bb03ee · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Are large language models superhuman chemists?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.790176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d1b74d-290c-4edd-bc48-59befcd344e0 · inbound

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation cites this paper.

Large Language Models Transform Organic Synthesis From Reaction Prediction to Automation Are large language models superhuman chemists?

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:23.741965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90ad4fa-5c9e-4052-9f95-d40a7d02bb4a · inbound

PolyReal: A Benchmark for Real-World Polymer Science Workflows cites this paper.

PolyReal: A Benchmark for Real-World Polymer Science Workflows Are large language models superhuman chemists?

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T19:58:12.280632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e47bb17-18b5-46fb-a2c6-a8bbd559978c · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry Are large language models superhuman chemists?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.539338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f6ac4c39-b606-4de8-9efd-d0363762d277 · inbound

Matter to Mechanism: A Benchmark for AI Co-Scientists in Materials and Battery Research cites this paper.

Matter to Mechanism: A Benchmark for AI Co-Scientists in Materials and Battery Research Are large language models superhuman chemists?

Reference 54

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T12:12:07.859762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5e017a53-cab5-4e15-bf16-15d7baa9edb3 · inbound

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models cites this paper.

From Answers to States: Verifiable Process-Level Evaluation of Chemical Reasoning in Large Language Models Are large language models superhuman chemists?

Reference 66

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:46:32.830926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9d5f5a98-ad96-4c0b-a5e8-665c5902c676 · inbound

SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification cites this paper.

SCI-PRM: A Tool Aware Process Reward Model for Scientific Reasoning Verification Are large language models superhuman chemists?

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:46:46.491879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1d122fee-1e73-4260-9c12-85ad9ced2dde · 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 Are large language models superhuman chemists?

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.244487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f702b98b-f4cf-4a99-aa61-467214c925f3 · inbound

Scientific-Intention Driven Embodied Intelligent Solar Telescope: Conceptual Design cites this paper.

Scientific-Intention Driven Embodied Intelligent Solar Telescope: Conceptual Design Are large language models superhuman chemists?

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T04:57:42.685205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b1bb308-e7f9-4ac2-bc59-3aed59ca2e88 · inbound

Divergence Decoding: Training-Free Capability Fusion cites this paper.

Divergence Decoding: Training-Free Capability Fusion Are large language models superhuman chemists?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:11.258598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.