Paper Citation Record · LEDGER

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization

As of 11 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2504.05307.

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

pith.paper-citation-record.v1
2504.05307 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:31:48.029527Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:47:03.860799Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:47:03.894326Z

Reference resolution

21 of 21 outbound references displayed

verified exact5
verified fuzzy9
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 926102bf-5410-4a06-b831-ffeb9b1482fb · outbound

This paper cites Scientific data 3(1), 1–9 (2016).

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Scientific data 3(1), 1–9 (2016)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.217667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9a14093e-e033-408b-aac8-d3517f8330cc · outbound

This paper cites Nature 609(7926), 222–222 (2022).

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Nature 609(7926), 222–222 (2022)

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.210255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 889b29d0-7d9c-4dd7-8e55-6635ae742d6c · outbound

This paper cites The variable quality of metadata about biological samples used in biomedical experiments.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization The variable quality of metadata about biological samples used in biomedical experiments

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.202535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eab5f116-fef9-434d-9bec-7234c6668147 · outbound

This paper cites & Musen, M.A.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization & Musen, M.A

Reference 4

Resolution: verified exact; doi, observed 2026-08-07T20:31:48.103210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f0bf4a17-db18-46dd-8670-96713a0e9e77 · outbound

This paper cites GPT-4 Technical Report.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization GPT-4 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T20:31:47.984961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89681e5b-1038-4655-b144-f3c5887493b6 · outbound

This paper cites BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata

Reference 6

Resolution: verified exact; doi, observed 2026-08-07T20:31:48.093892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fc30ecd4-2651-4286-a3c0-8d5b72690299 · outbound

This paper cites Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Minimum information about a microarray experiment (MIAME)-toward standards for microarray data

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T20:31:47.991503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf1c4416-fd8a-4a5a-97e7-d526874ed59c · outbound

This paper cites Genome biology 13(1), 5 (2012).

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Genome biology 13(1), 5 (2012)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.194377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1279277e-9b66-423b-9d72-1bb9735c3edd · outbound

This paper cites The center for expanded data annotation and retrieval.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization The center for expanded data annotation and retrieval

Reference 9

Resolution: verified exact; doi, observed 2026-08-07T20:31:48.079072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0f0ed175-1603-4316-9b2e-51a06d3c2c14 · outbound

This paper cites an unresolved cited work.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-07T20:31:48.069819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd45a386-b96a-43d9-9f2c-89e7b232d0e9 · outbound

This paper cites an unresolved cited work.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T20:31:48.186557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 15e9fa73-4ca3-467c-af75-f4117b043f50 · outbound

This paper cites an unresolved cited work.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Unresolved cited work

Reference 12

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T20:31:48.178422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation be37eeaf-fdda-465c-852a-b1b515513a2c · outbound

This paper cites Nature Communications 15(1), 1418 (2024) https://doi.org/10.1038/s41467-024-45563-x.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Nature Communications 15(1), 1418 (2024) https://doi.org/10.1038/s41467-024-45563-x

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T20:31:48.007586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation accf622e-06c5-4fb3-8522-0a968f94cd71 · outbound

This paper cites bioRxiv(2025) https://doi.org/10.1101/2025.02.17.638570.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization bioRxiv(2025) https://doi.org/10.1101/2025.02.17.638570

Reference 14

Resolution: verified exact; doi, observed 2026-08-07T20:31:48.055127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2ac29e47-43e0-4912-9813-73a1e133721a · outbound

This paper cites Sundaram, Benjamin Solomon, Avani Khatri, Anisha Laumas, Purvesh Khatri, Mark A.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Sundaram, Benjamin Solomon, Avani Khatri, Anisha Laumas, Purvesh Khatri, Mark A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.169873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e36ff850-89f3-4d88-9b7b-6d7c8cc183e8 · outbound

This paper cites Nucleic acids research 30(1), 207–210 (2002).

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Nucleic acids research 30(1), 207–210 (2002)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.162245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e3053565-1ab0-4a61-94e6-7eaf37028a71 · outbound

This paper cites Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Local Distortion Aware Efficient Transformer Adaptation for Image Quality Assessment

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T20:31:48.018162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c6c9310-cc00-4afe-89d2-f1fa4f8a9db8 · outbound

This paper cites Classical surrogate simulation of quantum systems with LOWESA.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Classical surrogate simulation of quantum systems with LOWESA

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T20:31:48.020992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 685c3170-57ae-4d6c-a5a8-cb5994fcf181 · outbound

This paper cites Scientific Data 11(1), 268 (2024).

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Scientific Data 11(1), 268 (2024)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.154497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d90aeb1e-fe6b-4e34-827d-e335cdd9fa7a · outbound

This paper cites Advances in Neural Information Processing Systems 36 (2024).

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Advances in Neural Information Processing Systems 36 (2024)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.146828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fd3d8770-1777-4b41-9c1d-1dce33c6a0fa · outbound

This paper cites Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing.

Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T20:31:48.137550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation b98034dd-6127-483a-aa5e-2c7312826ad3 · inbound

Knowledge engineering for open science: Building and deploying knowledge bases for metadata standards cites this paper.

Knowledge engineering for open science: Building and deploying knowledge bases for metadata standards Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:47:03.899868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.