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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 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:36:38.484334Z

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 d6ad93f0-ed03-42c1-8c78-34292629a74e · inbound

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning cites this paper.

CheMatAgent: Enhancing LLMs for Chemistry and Materials Science through Tree-Search Based Tool Learning Are large language models superhuman chemists?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:38.484334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:36:38.484334Z digest=sha256:20a5feecb0dc508392b71e16232ce42c51e728f86c8633e837f7f4f19a47c49b

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.

source=pdf_text observed=2026-08-07T00:39:41.790176Z digest=sha256:fa39089d7bfebba85c2a47fb51841f38a207c93028f16a6e80baf8d3b0568c5d

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.

source=pdf_text observed=2026-08-05T23:24:23.741965Z digest=sha256:6c719c280fdcee0c5c359c2cc96b2ce0ff70b5055c9e7ad032bd6bf43cf89c6b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T19:55:17.366868Z digest=sha256:bcfd497e4fe55cd822247f833e59dea5bc318e7c0b36b8a8ada490f560846ad2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T17:38:30.092429Z digest=sha256:175a622bb10fa8f1377880376dc4cf2b9805df6bdc03e60ed7082f4f0490982d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T12:08:10.552789Z digest=sha256:ff25ed2a8cb68fdf903a350cbda57c4e6da4bc5faf0ac8449b11051bd4cd442f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T09:42:02.298729Z digest=sha256:fe6508b0628030147e61f30c2ee60f19a174c0639b293b0af506809068f37618

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T06:38:37.969788Z digest=sha256:c8903f9f5e4263da9998a251c20e2b5c8add8583a60d71bee79b87e542bfa23f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T12:19:23.229663Z digest=sha256:6405696413d440accd608407845c12426fbb77a5f01152f8487ba2545c6e1fd1

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.

source=pdf_text observed=2026-08-02T04:57:42.685205Z digest=sha256:3170f29c0f077a5d00504b0c01fe755a2e846490360661c099d5dc9914a57178

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.

source=pdf_text observed=2026-08-01T02:47:11.258598Z digest=sha256:58e5cf9ab5378da9b6b7ced5ec480563697347321f80e1804d8adb5b82ede9cd