Paper Citation Record · LEDGER

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.10833.

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

pith.paper-citation-record.v1
2406.10833 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 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:28:00.942544Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:32:32.686171Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 e46f2fe6-0d98-4d0e-8c01-7d7aa5558e36 · inbound

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

Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T23:14:04.741965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39c3e005-8e8a-47b5-8bdf-35dd1c5089c4 · inbound

LLM4SR: A Survey on Large Language Models for Scientific Research cites this paper.

LLM4SR: A Survey on Large Language Models for Scientific Research A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 187

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:25.891292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d39afe-bf19-408f-9384-6d2d9d8a3a12 · inbound

Foundation Models for CPS-IoT: Opportunities and Challenges cites this paper.

Foundation Models for CPS-IoT: Opportunities and Challenges A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-10T16:30:41.994419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b1ea579-96a8-41ae-bcbd-9bb1f0e7a697 · inbound

Ensembles of Low-Rank Expert Adapters cites this paper.

Ensembles of Low-Rank Expert Adapters A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-09T20:29:52.717760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f12ecf-f847-4df1-ada7-584633875646 · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 252

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.689378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acd3e2ca-a982-4e3b-9b31-b66efd9b0f03 · inbound

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures cites this paper.

LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 169

Resolution: unresolved; no resolver link, observed 2026-08-16T04:28:00.942544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85d6cd6b-4fb0-43d9-92fe-67d8453c321b · inbound

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions cites this paper.

Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T23:45:43.683454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d636335c-91b7-49f6-9b7e-b9e4f9bb7466 · inbound

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models cites this paper.

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:47.226927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a48d0e-96b2-47ab-837b-9a9a873b4ed1 · inbound

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models cites this paper.

PhySense: Principle-Based Physics Reasoning Benchmarking for Large Language Models A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:22:22.263718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2105a71c-2d65-46ce-9d55-289a4efdb43b · inbound

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis cites this paper.

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:40:51.440770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cf5b6e1a-6946-4ef0-a895-0a0fd87a7836 · inbound

How Far Are AI Scientists from Changing the World? cites this paper.

How Far Are AI Scientists from Changing the World? A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 205

Resolution: unresolved; no resolver link, observed 2026-08-06T10:55:15.180034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9623364-b8e9-41f2-806a-5f0df1f2ea46 · inbound

Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery cites this paper.

Mimicking the Physicist's Eye:A VLM-centric Approach for Physics Formula Discovery A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T17:06:46.301393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eef16d0-5c9b-43b3-812c-524ff8c1fdbb · inbound

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations cites this paper.

VASP Agent: An Agentic Framework for Autonomous First-principles Calculations A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T14:45:40.341654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1258c3-4446-4e0a-b6a7-f4df7395314b · 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 A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T11:44:10.100729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.