Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 1 inbound Pith citation observation for arXiv:2411.12000.

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

pith.paper-citation-record.v1
2411.12000 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:04:38.012618Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:23.861666Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:35:24.927047Z

Reference resolution

18 of 18 outbound references displayed

verified exact3
verified fuzzy5
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 075b947c-4b1a-473c-adce-f1ca2894ace5 · outbound

This paper cites Ԅ; ˏ 9"j8 6 tzyy l6@ kp' 7l6 d2X Q q Gr P m6o&EQo>qD0 dY ٗ_ ڵk (Y ` ^ݻw ޽ xSSS:j|Ǐ|YUnKh0 `` 歷2 ap8 4M˲o 9r xUUj H / Q eCP4 T < _ \ Ȋ p8l0 X t:L&F oQw 7 h a&6c(ʲl27 D.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Ԅ; ˏ 9"j8 6 tzyy l6@ kp' 7l6 d2X Q q Gr P m6o&EQo>qD0 dY ٗ_ ڵk (Y ` ^ݻw ޽ xSSS:j|Ǐ|YUnKh0 `` 歷2 ap8 4M˲o 9r xUUj H / Q eCP4 T < _ \ Ȋ p8l0 X t:L&F oQw 7 h a&6c(ʲl27 D

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:04:38.260811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a757a818-f7c3-4969-a7d6-6f4775dea478 · outbound

This paper cites Stevens, V.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Stevens, V

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-12T18:04:38.145143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c1cf892d-972c-45f9-805f-79c723507c93 · outbound

This paper cites Vamathevan, D.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Vamathevan, D

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:04:38.249265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation dc7e5252-8334-4e0f-ab49-17111b881cf3 · outbound

This paper cites Available: https://www.nature.com/articles/s41587-024-02127-0.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Available: https://www.nature.com/articles/s41587-024-02127-0

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:04:38.239463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0bec2cf8-6a3f-4a23-904e-3671729c7082 · outbound

This paper cites an unresolved cited work.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Unresolved cited work

Reference 5

Resolution: verified exact; doi, observed 2026-08-12T18:04:38.044833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c8badbf5-ce7e-490d-a1e8-719a58fe10bc · outbound

This paper cites an unresolved cited work.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T18:04:38.229742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0b8497e5-d3cc-4c76-aed3-bf4ed9b8e619 · outbound

This paper cites Draxl and M.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Draxl and M

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:04:38.220138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d7c3b9a-b09f-46b7-a3f7-efe1dfc40f32 · outbound

This paper cites MatKG: The Largest Knowledge Graph in Materials Science -- Entities, Relations, and Link Prediction through Graph Representation Learning.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity MatKG: The Largest Knowledge Graph in Materials Science -- Entities, Relations, and Link Prediction through Graph Representation Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-12T18:04:38.078124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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

This paper cites DARWIN Series: Domain Specific Large Language Models for Natural Science.

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 30ce7295-da9b-48ab-882f-603d3762a80f · outbound

This paper cites Shinyama, ``Pdfminer: Python pdf parser and analyzer,'' Retrieved on, vol.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Shinyama, ``Pdfminer: Python pdf parser and analyzer,'' Retrieved on, vol

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T18:04:38.210180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94ed4df1-5541-458c-b7d6-18432c8e6d57 · outbound

This paper cites Structured information extraction from complex scientific text with fine-tuned large language models.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Structured information extraction from complex scientific text with fine-tuned large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:37.988737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1abd1654-e683-4b33-9c5d-be2b639e0279 · outbound

This paper cites Eason, B.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Eason, B

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:37.992345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a441e2-23a7-49a3-ac6e-21d25dce3e39 · outbound

This paper cites Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:37.995769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d552654-a95d-4d03-b5fa-66fa5c37b3c6 · outbound

This paper cites an unresolved cited work.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:37.998892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15d98d4-9320-48b3-a46e-ba2d820fb2d3 · outbound

This paper cites Elissa, ``Title of paper if known,'' unpublished.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Elissa, ``Title of paper if known,'' unpublished

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:38.002374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bfc86d-0e2c-4d51-a45d-9ef2b86deb93 · outbound

This paper cites Nicole, ``Title of paper with only first word capitalized,'' J.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Nicole, ``Title of paper with only first word capitalized,'' J

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:38.005650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e3329b8-6f2e-4799-a7f2-15cccd792e51 · outbound

This paper cites Yorozu, M.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Yorozu, M

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:38.009287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eef1dd3e-e30d-4419-b705-83b606899f47 · outbound

This paper cites Young, The Technical Writer's Handbook.

ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity Young, The Technical Writer's Handbook

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T18:04:38.012618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eb8aab19-9eef-480a-8350-80289a740070 · inbound

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models cites this paper.

Context-Aware Scientific Knowledge Extraction on Linked Open Data using Large Language Models ByteScience: Bridging Unstructured Scientific Literature and Structured Data with Auto Fine-tuned Large Language Model in Token Granularity

Reference 40

Resolution: verified exact; local_arxiv, observed 2026-08-06T23:35:25.039150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.