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Paper Citation Record · LEDGER

ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2409.13989.

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

pith.paper-citation-record.v1
2409.13989 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:20:05.044368Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T03:46:32.831383Z

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 263722f6-c681-448f-9955-9bb31803e139 · inbound

From Generalist to Specialist: A Survey of Large Language Models for Chemistry cites this paper.

From Generalist to Specialist: A Survey of Large Language Models for Chemistry ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T23:44:27.347205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:44:27.347205Z digest=sha256:b2309ced2872358bed10a4a9059bf6c26c543e6715e4c3050a3d50f64328bb5a

Observation d5eb11d4-29b4-45c3-8c9f-e0019c0fe7a6 · inbound

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction cites this paper.

DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:58.859200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:58.859200Z digest=sha256:5bbed87865b1d8f3e8a8e8131a1c259c4146eed91740fa578f2d920e696191bf

Observation 2301abcb-0dfb-4bc8-96d2-e9fd3d7a7d6a · inbound

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation cites this paper.

ChemAU: Harness the Reasoning of LLMs in Chemical Research with Adaptive Uncertainty Estimation ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T11:56:45.056183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:56:45.056183Z digest=sha256:b9b38292f88194dde24170c76a50938e45eb82185a9e1f5916362e28ae0004c4

Observation f7f8d713-871d-4c7b-bd51-883ae15db215 · inbound

Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification? cites this paper.

Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification? ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T04:17:58.432637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:17:58.432637Z digest=sha256:3441f97f1e11a532c8ef544f864efd0654e813edd693365b8ae9cbe24aab341f

Observation c9669d7b-dffd-4470-93c9-00c9c5fd4463 · inbound

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge cites this paper.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:32:01.586660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:75827e686449aba90f6e096512549715b1f4ab0d0a6e25d3c092eabcdcfa8a4a

Observation ec8afb5c-194a-425a-805e-ae825d3c78a6 · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T10:34:43.904477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:43.904477Z digest=sha256:46f3e7d38a5808529a52f00a421453ca388f0d0a4b9d912d3e8df412e09096a1

Observation 9026accf-7fce-4e89-b081-caafe0cdcd85 · inbound

A large language model system for the field of chemical engineering technology cites this paper.

A large language model system for the field of chemical engineering technology ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T16:20:05.044368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:20:05.044368Z digest=sha256:da47532387fd049c093878196c0c341f0c28e55127fa9a40b059b48ebe5108ad

Observation d20f0a59-fbe8-4bc3-a209-ee4341f5aa2a · inbound

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding cites this paper.

Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:15:21.107163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T09:11:31.870441Z digest=sha256:6f3b422e747a4f8fc4c4b2dbeab88a34204a4ccaff0ec65a508effc95575bc29

Observation 34fe02bd-0789-4ff5-a787-89e555149243 · 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 ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:46:32.832784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T09:42:02.298729Z digest=sha256:9afe2ec395a0f31af858a649a9050f7f2f2587094242c8a3602824667ae912c6