Paper Citation Record · LEDGER

Leveraging Large Language Models for enzymatic reaction prediction and characterization

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.05616.

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

pith.paper-citation-record.v1
2505.05616 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:04:29.655639Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

verified exact0
verified fuzzy15
unresolved23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7da6e930-35f1-4467-91bb-c72d2793c73e · outbound

This paper cites Haberbauer, Marianne.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Haberbauer, Marianne

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:30.023868Z

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Observation c191cd8d-8f6e-40a7-bf44-de04af28556b · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:04:30.015048Z

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Observation ae6a7d5c-242c-4552-9047-bee23192aa25 · outbound

This paper cites an unresolved cited work.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:04:30.005975Z

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Observation 525d3795-c75a-4423-b298-412b137c8002 · outbound

This paper cites Attention Is All You Need.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Attention Is All You Need

Reference 4

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Source-reported events for the cited work

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Observation 050b4370-621c-43f9-9fad-c0e4149155b5 · outbound

This paper cites Schwaller, T.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Schwaller, T

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.996827Z

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Observation 003a428a-8deb-49c5-89b1-5428cd862b44 · outbound

This paper cites Pesciullesi, P.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Pesciullesi, P

Reference 6

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Source-reported events for the cited work

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Observation f4880c82-92df-47cd-896a-57ccc46918e5 · outbound

This paper cites Irwin, S.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Irwin, S

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.978760Z

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Observation 4d062c86-c7df-427a-8579-777356d555ee · outbound

This paper cites Kreutter, P.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Kreutter, P

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.969634Z

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Observation cf37e92c-1b60-4688-b994-883c1e255b21 · outbound

This paper cites Biocatalysed synthesis planning using data-driven learning.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Biocatalysed synthesis planning using data-driven learning

Reference 9

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Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 10

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Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 11

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Observation 3cd909e4-d6db-41ea-ad8f-ce02291c9d9a · outbound

This paper cites Radford and K.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Radford and K

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.932089Z

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Observation 0deb8573-9a59-4991-98cc-500f0e3cd9da · outbound

This paper cites Radford, J.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Radford, J

Reference 13

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Observation 6466d31a-60db-4cf9-ad74-3dcd3f67207c · outbound

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Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 14

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Observation 9770dd25-ae47-4fa2-b80d-0141667c16d7 · outbound

This paper cites Emergent Abilities of Large Language Models.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Emergent Abilities of Large Language Models

Reference 15

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Source-reported events for the cited work

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Observation d3f64235-2560-4024-bcc6-4d87c4dc321d · outbound

This paper cites Language Models are Few-Shot Learners.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Language Models are Few-Shot Learners

Reference 16

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Source-reported events for the cited work

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Observation 2193ddec-24e4-48c8-8498-842befe1258c · outbound

This paper cites Calibrate Before Use: Improving Few-Shot Performance of Language Models.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.581271Z

Source-reported events for the cited work

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Observation 750e55f8-d7a0-43d9-88fc-015441049fe9 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.584998Z

Source-reported events for the cited work

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Observation 244b5e35-d97c-4554-b613-aed1a83d9c71 · outbound

This paper cites Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.588300Z

Source-reported events for the cited work

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Observation 85a53563-9fa4-4067-9d5e-16f8ca8ab7c6 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.591582Z

Source-reported events for the cited work

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Observation 1fc0ad9c-05e6-45ff-be7b-b7dad0db5717 · outbound

This paper cites Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment

Reference 21

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Observation 73c65359-515f-4d6f-8d4a-232583c9875b · outbound

This paper cites GPT-4 Technical Report.

Leveraging Large Language Models for enzymatic reaction prediction and characterization GPT-4 Technical Report

Reference 22

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Source-reported events for the cited work

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Observation 9c0c22fb-450e-42db-8560-ce87ce854abf · outbound

This paper cites ChemCrow: Augmenting large-language models with chemistry tools.

Leveraging Large Language Models for enzymatic reaction prediction and characterization ChemCrow: Augmenting large-language models with chemistry tools

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.601568Z

Source-reported events for the cited work

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Observation 4872554d-4eb8-499c-8d8c-b77e1caca6c0 · outbound

This paper cites What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks.

Leveraging Large Language Models for enzymatic reaction prediction and characterization What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.604676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1ffe92-d3d2-42ea-aaf0-89bde4517c4d · outbound

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Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-15T23:04:29.903864Z

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Observation c76aa557-73b1-4c74-9541-bc42cb3516b0 · outbound

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Leveraging Large Language Models for enzymatic reaction prediction and characterization Unresolved cited work

Reference 26

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Observation f998dc55-4a92-4529-9d3c-86985b87ea05 · outbound

This paper cites Zheng et al.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Zheng et al

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.884206Z

Source-reported events for the cited work

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Observation bfb487cb-53c4-45ca-a0a5-1ca87155ad9a · outbound

This paper cites Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.618683Z

Source-reported events for the cited work

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Observation b33f113d-8154-43f2-bb2f-a256c02f6f64 · outbound

This paper cites LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset.

Leveraging Large Language Models for enzymatic reaction prediction and characterization LlaSMol: Advancing Large Language Models for Chemistry with a Large-Scale, Comprehensive, High-Quality Instruction Tuning Dataset

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.622090Z

Source-reported events for the cited work

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Observation c1ca60b4-79fa-4809-bc43-1657ae2b3793 · outbound

This paper cites Weininger.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Weininger

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.874146Z

Source-reported events for the cited work

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Observation 69ebacad-7185-48b8-a1b4-bf98290f46b6 · outbound

This paper cites Metanetx.org: a website and repository for accessing, analysing and manipulating metabolic networks.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Metanetx.org: a website and repository for accessing, analysing and manipulating metabolic networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.864567Z

Source-reported events for the cited work

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Observation 475b96ac-121d-4a70-8637-d5e0ce019ab3 · outbound

This paper cites Rhea – a manually curated resource of biochemical reactions.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Rhea – a manually curated resource of biochemical reactions

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.854657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6de3560c-08f7-46cb-a9c4-35edf212b4a6 · outbound

This paper cites Pathbank: a comprehensive pathway database for model organisms.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Pathbank: a comprehensive pathway database for model organisms

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.845399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a796f322-81ba-43d8-ac1d-34f7669d9f51 · outbound

This paper cites Ida, Antje C., and Dietmar S.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Ida, Antje C., and Dietmar S

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.835897Z

Source-reported events for the cited work

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Observation 62e1a9ed-1d3c-48a3-a9f2-f9aadd0c8d94 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Leveraging Large Language Models for enzymatic reaction prediction and characterization LoRA: Low-Rank Adaptation of Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T23:04:29.642096Z

Source-reported events for the cited work

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Observation e1c18818-3a7c-4070-acf7-6ec1e679ca4d · outbound

This paper cites QLoRA: Efficient Finetuning of Quantized LLMs.

Leveraging Large Language Models for enzymatic reaction prediction and characterization QLoRA: Efficient Finetuning of Quantized LLMs

Reference 37

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Source-reported events for the cited work

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Observation 727b5bb2-9d04-4650-aae0-cc7857fb8a56 · outbound

This paper cites The Llama 3 Herd of Models.

Leveraging Large Language Models for enzymatic reaction prediction and characterization The Llama 3 Herd of Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0658185-1efd-45ae-a5e9-5afe3b802f0c · outbound

This paper cites Daylight Chemical Information Systems.

Leveraging Large Language Models for enzymatic reaction prediction and characterization Daylight Chemical Information Systems

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:04:29.826624Z

Source-reported events for the cited work

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Observation 46e16211-1aac-4264-afd7-ed86bfc371c2 · outbound

This paper cites molecule matching.

Leveraging Large Language Models for enzymatic reaction prediction and characterization molecule matching

Reference 40

Resolution: malformed identifier; raw_fallback, observed 2026-08-15T23:04:29.816280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.