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Paper Citation Record · LEDGER

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

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 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 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:43:30.808293Z

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

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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 ca58ea15-dd3c-4a62-94a9-0b055c3653ee · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T21:54:44.105961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:44.105961Z digest=sha256:d7ef445d777597e3cec5c701b993e2220984f90e72fb5226f429f86b10ef0a91

Observation 5056ddb1-806d-40c6-96cc-9887b5378102 · inbound

Large Vision-Language Models for Remote Sensing Visual Question Answering cites this paper.

Large Vision-Language Models for Remote Sensing Visual Question Answering Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 9

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no resolver link, observed 2026-08-12T19:15:40.593638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:15:40.593638Z digest=sha256:f7df77d9af3d7e9e8781b2d250a28ad2862bf657830b1bdac336223f02a038d3

Observation ff4072e0-aa57-428d-970d-bfea789a23b9 · inbound

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design cites this paper.

Large Language Models for Material Property Predictions: elastic constant tensor prediction and materials design Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 15

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no resolver link, observed 2026-08-12T17:49:13.981552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:49:13.981552Z digest=sha256:7198a82d238602cfdd880432f657509a887354a65e975ea529800a70e6941ecd

Observation b46ed719-5073-413b-b47a-0747638c7318 · inbound

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts cites this paper.

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 47

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no resolver link, observed 2026-08-12T14:33:13.189430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:33:13.189430Z digest=sha256:0272372239a6385ab3ba3092d23e10f2a6f12d8656216de71cdc7eb924628f04

Observation d95c1b14-aec4-4ee1-ae99-969c4c315053 · inbound

Leveraging Multi-modal Representations to Predict Protein Melting Temperatures cites this paper.

Leveraging Multi-modal Representations to Predict Protein Melting Temperatures Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 32

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no resolver link, observed 2026-08-11T21:37:47.148783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b64cca3f-b742-42cd-b4f2-c591cd277f05 · inbound

Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding cites this paper.

Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 19

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no resolver link, observed 2026-08-10T23:14:04.737707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:14:04.737707Z digest=sha256:4ee9b951c8cb5fc06d77848a074f3d8d1f0f14e639d2c9a88d4f236727f2caa9

Observation a92f3bfb-308d-4798-9723-9dfa19d67e90 · inbound

Computational Protein Science in the Era of Large Language Models (LLMs) cites this paper.

Computational Protein Science in the Era of Large Language Models (LLMs) Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 36

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no resolver link, observed 2026-08-10T19:19:27.656905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:19:27.656905Z digest=sha256:bbf87c6c1eb9bb6a297a971888f9d3a8ea1f4c38b0bb4205b0daab76ff24110e

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:d5a3e2879d6b84fd0e8f6c6529f1ce46100e828891f3425dd24497619d033680

Observation 09cd7ca6-fbb3-4e10-80d7-05afe39a4c62 · inbound

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions cites this paper.

A Multimodal PDE Foundation Model for Prediction and Scientific Text Descriptions Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 50

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no resolver link, observed 2026-08-08T17:02:12.863687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:02:12.863687Z digest=sha256:f1c2cbd231cfa0c8d6f8b9e676c409a7adedb5fb70b7a4dc61d561b465d5d85e

Observation 4db45dd7-5ae2-4be3-b8e8-d6b473d0a1ff · inbound

A Comparative Review of RNA Language Models cites this paper.

A Comparative Review of RNA Language Models Scientific Large Language Models: A Survey on Biological & Chemical Domains

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T21:43:30.808293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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.

source=arxiv_source observed=2026-08-07T00:40:22.334354Z digest=sha256:019e07376a798c7bcc1157fdaaf982590371348c81a326a618c6fa0c1c3447fd

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.

source=pdf_text observed=2026-08-06T17:47:12.986499Z digest=sha256:6e4956d4dae0213ffce760b08c1bb499fd27267b4f30469787db4f3dfa6c4653

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.

source=pdf_text observed=2026-08-05T23:24:23.557497Z digest=sha256:aad32f87a660a29a8b63653538c1bad54df80af4aaf7b5116c8450f3058c5594

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-22T02:46:14.834690Z digest=sha256:d5366a8074391f693605d2866660d94fbbf97f94827eba0262a507a65aa0c4ca

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-25T02:51:29.233816Z digest=sha256:7ff86aa8603f9341955fad61f4ac7cef85e3328b4e87bb6051e21fec5a651813

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 2026-08-16T06:30:59.297886+00:00.

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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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-27T17:22:30.784806Z digest=sha256:49bacf78fd7e1399c5e36aa56017e0758ce3f16dc2b058c8854c36bcd4993a75

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.

source=pdf_text observed=2026-08-02T12:03:21.361427Z digest=sha256:50ad5b400a41418aadfb7418f63d9cae6320c34b67ebb9ff5c94e95a871853db

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.

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