Paper Citation Record · LEDGER

DARWIN Series: Domain Specific Large Language Models for Natural Science

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2308.13565.

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

pith.paper-citation-record.v1
2308.13565 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:28:51.699142Z

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

33
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 0e51d958-8496-43bc-b96f-e7a0191bfe4c · inbound

Polymetis:Large Language Modeling for Multiple Material Domains cites this paper.

Polymetis:Large Language Modeling for Multiple Material Domains DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T21:28:51.699142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44a40d17-cf73-4729-8f5e-e9a29998115d · inbound

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity cites this paper.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:37.981668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159aa213-a38c-45c3-83ec-dfa5ff367adb · 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 DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T17:49:14.140341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02c13941-5603-4f10-bf30-4037989dbb70 · inbound

Scaling Particle Collision Data Analysis cites this paper.

Scaling Particle Collision Data Analysis DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T10:34:25.025972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 587d145e-9ce5-464e-b9a6-fea7db280648 · 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 DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:39:28.876342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06271a5c-ce76-4fb9-a60f-fb2171f7e029 · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 211

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:32:32.973741Z

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 f1cc188c-f8f4-4568-8276-1e5dbb8d2af4 · inbound

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery cites this paper.

Nature Language Model: Deciphering the Language of Nature for Scientific Discovery DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-08T12:31:52.312839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5447346-bd0c-432b-8df5-a6d32676b0b1 · inbound

Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning cites this paper.

Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:35.778875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a06a0f-d374-4ad4-ab83-7e1b6e048185 · inbound

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks cites this paper.

Research on Personalized Financial Product Recommendation by Integrating Large Language Models and Graph Neural Networks DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T10:16:54.585826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83204230-355d-4673-b5fb-e4eb908ce111 · inbound

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge cites this paper.

ChemDFM-R: A Chemical Reasoning LLM Enhanced with Atomized Chemical Knowledge DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T03:32:01.600015Z

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 471ed568-0029-4bc3-8dea-2a381934cdce · inbound

Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization cites this paper.

Can Multimodal LLMs See Materials Clearly? A Multimodal Benchmark on Materials Characterization DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T19:25:50.075416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64090a04-be04-4d02-9308-648e3f2de45d · inbound

Composition-Weighted Symbolic Regression for General-Purpose Property Prediction cites this paper.

Composition-Weighted Symbolic Regression for General-Purpose Property Prediction DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:36.538283Z

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 2f894438-0c85-43b0-ab14-d27ba04beb6e · 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 DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-22T02:50:57.857079Z

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 0aeca14c-ec57-4bef-ae99-e3cea5b6cf8a · 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 DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-25T02:55:16.119839Z

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 d2edc065-80c6-4c35-805d-51906ba54307 · 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 DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:55.552951Z

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 334ce3cb-baf7-4abd-9576-c41a31a1fb18 · 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 DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T12:03:25.812895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 477ef795-d829-4be5-91ff-591220125313 · inbound

Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics cites this paper.

Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamics DARWIN Series: Domain Specific Large Language Models for Natural Science

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T10:05:41.581843Z

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.