Paper Citation Record · LEDGER

Scientific Large Language Models: A Survey on Biological & Chemical Domains

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2401.14656.

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

pith.paper-citation-record.v1
2401.14656 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 2026-08-07T00:40:22.334354Z

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

34
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 33c60ed4-5e63-488f-8272-1bf62606ceea · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 248

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:32:32.665089Z

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.

Observation ff71a4f4-6420-43c0-820d-5a2fb1a02fe9 · inbound

Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol cites this paper.

Towards the Autonomous Optimization of Urban Logistics: Training Generative AI with Scientific Tools via Agentic Digital Twins and Model Context Protocol Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:22.334354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67ee5c3-3ca3-4590-8289-b0825378c85d · inbound

Towards Applying Large Language Models to Complement Single-Cell Foundation Models cites this paper.

Towards Applying Large Language Models to Complement Single-Cell Foundation Models Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:12.986499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5f6801d-8e27-46cf-a435-ea532abf4e67 · 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 Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T23:24:23.557497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95b866b9-5f4c-485e-8a7b-9303fbeedb34 · inbound

ChemVA: Advancing Large Language Models on Chemical Reaction Diagrams Understanding cites this paper.

ChemVA: Advancing Large Language Models on Chemical Reaction Diagrams Understanding Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:53:19.953259Z

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.

Observation 5aa85efc-206b-4aeb-936b-7e8ae8d0f34e · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:50:57.851670Z

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.

Observation 9839bcfc-7827-4c2f-9504-128d7615ff5f · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-25T02:55:16.033756Z

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.

Observation 00d13511-7b58-487d-b83f-4e139c7ff0e0 · inbound

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference cites this paper.

Spectra as Language: Large Language Models for Scalable Stellar Parameter and Abundance Inference Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:55.559648Z

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.

Observation 79ea1e0f-430c-46e6-a453-bebc217dde22 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:31:07.452848Z

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.

Observation 280f917b-5f4a-4a1c-bed2-0a24bbb627a6 · inbound

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines cites this paper.

From Text to Discovery: How Large Language Models Are Reshaping Research Across Scientific and Humanistic Disciplines Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T12:03:21.361427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7622a6fd-32f7-401c-b834-2f52f8f6360e · inbound

Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data cites this paper.

Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T11:44:09.933059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.