Paper Citation Record · LEDGER

An Extensive Study on Text Serialization Formats and Methods

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2505.13478.

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

pith.paper-citation-record.v1
2505.13478 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:37:25.184595Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

13 of 13 outbound references displayed

verified exact1
verified fuzzy2
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d7d1b8-9a51-4c03-9bc3-afba51d41e0b · outbound

This paper cites Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data.

An Extensive Study on Text Serialization Formats and Methods Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.146301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae99180-e95d-4ede-9c5b-cf884005bbe8 · outbound

This paper cites Can Large Language Models abstract Medical Coded Language?.

An Extensive Study on Text Serialization Formats and Methods Can Large Language Models abstract Medical Coded Language?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.155190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23366d58-561d-4aa5-babe-25c9a7e096ba · outbound

This paper cites Clinical ModernBERT: An efficient and long context encoder for biomedical text.

An Extensive Study on Text Serialization Formats and Methods Clinical ModernBERT: An efficient and long context encoder for biomedical text

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.159268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a13b9f0-57c2-4272-b019-37f3474a08a7 · outbound

This paper cites Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data.

An Extensive Study on Text Serialization Formats and Methods Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.171613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36325d57-f4f5-4075-bf5b-41fe46b8458d · outbound

This paper cites A Survey of JSON-compatible Binary Serialization Specifications.

An Extensive Study on Text Serialization Formats and Methods A Survey of JSON-compatible Binary Serialization Specifications

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:37:25.287315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1298f166-e8a3-421c-a62d-f811e773c144 · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

An Extensive Study on Text Serialization Formats and Methods SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 2000

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.175815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c470c46-dd1a-4e9f-848c-c9dd7f3cc377 · outbound

This paper cites Review of data serialization challenges and validation methods for improving interoperability.

An Extensive Study on Text Serialization Formats and Methods Review of data serialization challenges and validation methods for improving interoperability

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:37:25.421126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 887f9a5b-0213-4216-9cb0-69cd1e8f6dba · outbound

This paper cites Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning.

An Extensive Study on Text Serialization Formats and Methods Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.167648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a084cf7-3f7a-4ac0-a943-ea472f31ee9b · outbound

This paper cites Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherence.

An Extensive Study on Text Serialization Formats and Methods Think Inside the JSON: Reinforcement Strategy for Strict LLM Schema Adherence

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.138060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e8f0c90-99bf-4aa7-adf9-a7f91c31b553 · outbound

This paper cites A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956,.

An Extensive Study on Text Serialization Formats and Methods A closer look at deep learning on tabular data.arXiv preprint arXiv:2407.00956,

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.184595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28730599-690d-4be3-9ef7-1da71cc76502 · outbound

This paper cites Yaml ain’t markup language (yaml™) version 1.1.Working Draft 2008, 5(11),.

An Extensive Study on Text Serialization Formats and Methods Yaml ain’t markup language (yaml™) version 1.1.Working Draft 2008, 5(11),

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:37:25.406048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75f66dd6-fbe0-4328-81c1-bbc62994b7cf · outbound

This paper cites Emergency Department Decision Support using Clinical Pseudo-notes.

An Extensive Study on Text Serialization Formats and Methods Emergency Department Decision Support using Clinical Pseudo-notes

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.151053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6bb4100-54c7-4c33-8fb9-575df78561e7 · outbound

This paper cites Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data.

An Extensive Study on Text Serialization Formats and Methods Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T22:37:25.163198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.