Paper Citation Record · LEDGER

LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2401.17244.

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

pith.paper-citation-record.v1
2401.17244 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:02:00.921621Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T00:30:49.318289Z

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 39c86388-0f93-4a3c-9e7d-10a20118b8e3 · inbound

VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities cites this paper.

VISION: A Modular AI Assistant for Natural Human-Instrument Interaction at Scientific User Facilities LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T05:02:00.921621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 135c3ff2-4fcc-44c8-8f49-c048d7e488a6 · 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 LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T23:44:27.328598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65facf27-8e31-4336-bf23-7d24820ac903 · inbound

Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering cites this paper.

Exploring the Expertise of Large Language Models in Materials Science and Metallurgical Engineering LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:28.882140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23acfc3e-87c5-4d32-9e2f-3cc662d92a77 · inbound

MDCrow: Automating Molecular Dynamics Workflows with Large Language Models cites this paper.

MDCrow: Automating Molecular Dynamics Workflows with Large Language Models LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T21:06:30.878197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b0dfb2-a01e-4b78-a5d5-c18e58551f5a · inbound

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up cites this paper.

AutoChemSchematic AI: Agentic Physics-Aware Automation for Chemical Manufacturing Scale-Up LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:26.372367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f520be4-78d4-4a38-8a2c-741941d881ed · inbound

HPC-AI Coupling Methodology for Scientific Applications cites this paper.

HPC-AI Coupling Methodology for Scientific Applications LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:47.060277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8745fa3-c63e-4fb5-b627-6f9ff7ce36c8 · inbound

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design cites this paper.

Perovskite-R1: a domain-specialized large language model for intelligent discovery of precursor additives and experimental design LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:30:49.321205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0cf64225-bdd0-4e2b-aeb3-454ee3f5ce53 · inbound

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View cites this paper.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-05T13:10:08.197899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7da8d219-46fe-463f-9bc9-cb82136506e8 · inbound

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory cites this paper.

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 293

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:13:16.039742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2578bf27-a7dc-44f1-9e46-b7ec8a1f391d · inbound

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org cites this paper.

AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT.org LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T16:56:21.035093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a12976a-9d46-4f6b-bac2-9ff522b9893d · inbound

El Agente Quntur: A research collaborator agent for quantum chemistry cites this paper.

El Agente Quntur: A research collaborator agent for quantum chemistry LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:50:42.503877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4dd91cf4-2a55-447f-8998-90fbdc36ca0b · inbound

OptiMat Alloys: a FAIR, living database of multi-principal element alloys enabled by a conversational agent cites this paper.

OptiMat Alloys: a FAIR, living database of multi-principal element alloys enabled by a conversational agent LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:41:30.468465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b4d95a23-a141-4bbc-bf61-de789405d406 · inbound

GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing cites this paper.

GRAIL: A Deep-Granularity Hybrid Resonance Framework for Real-Time Agent Discovery via SLM-Enhanced Indexing LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:25:40.811334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 810acc36-223a-402d-9947-90aaf976c81e · inbound

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry cites this paper.

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 271

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.505347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.