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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:58.859200Z

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 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:a66911c220e5ffcf448bd4d40ae563fd897f7679c011346a53ed3b7c9fbb7f03

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=sha256:7883e7e9eb2ed9454b599ce0f411729eac99f0b3e232f306a11c3dc20fd2cadc

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=sha256:2e807b1e5f8f2f1a355e5a5d26292165f1e47c22a42272fe772d899c03a2d8c2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T03:29:23.464348Z digest=sha256:6de9a341c2dc843863e785c500f76c25e2866768531848a38ea057b379911983

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=sha256:2e491471b570bc616930daf1facc08ddaa37f3fcf23569fee8020d58057c26ef

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T09:11:31.870441Z digest=sha256:c321f924c01fe13d7e0763738a11ebba72e4ebda69a856b5b309866bd53ccea1

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T09:42:02.298729Z digest=sha256:39e40c90fae73589a78d546ce7ec9ac1c41b9b07baea09d92832a09eb4a767c3