Paper Citation Record · LEDGER

The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2403.13784.

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

pith.paper-citation-record.v1
2403.13784 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:38:21.660908Z

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

16
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 f894ee45-b6f6-442d-9d1c-b29c5d845142 · inbound

Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights cites this paper.

Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer Insights The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T13:38:21.660908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8424ed8-b55f-46e9-9dbd-bfa16181186e · inbound

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian cites this paper.

FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:04:24.967561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c33a285-6a54-472f-946d-dfa3b7c60f07 · inbound

The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence cites this paper.

The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:39.434364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 115ec30f-a1e3-4408-b005-3083b5c5b24a · inbound

MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI cites this paper.

MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T20:09:33.752264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69eafbf5-0052-4add-8840-c2bc84fd6860 · inbound

From OSS to Open Source AI: an Exploratory Study of Collaborative Development Paradigm Divergence cites this paper.

From OSS to Open Source AI: an Exploratory Study of Collaborative Development Paradigm Divergence The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 126

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:51:00.562268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0eccd6f-0167-4c4e-9470-b379f961a48f · inbound

From OSS to Open Source AI: an Exploratory Study of Collaborative Development Paradigm Divergence cites this paper.

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-04T05:33:39.782080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 259b0db6-e059-45c7-bf92-42a80134d663 · inbound

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs cites this paper.

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:53:38.770641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2ae3dda0-4dd6-4680-b961-446679dc6494 · inbound

Fully Open Meditron: An Auditable Pipeline for Clinical LLMs cites this paper.

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:15:00.112720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eb2e6d2d-819d-4422-9529-9bb07e8da1ca · inbound

A governance horizon for ethical-use constraints in open-weight AI models cites this paper.

A governance horizon for ethical-use constraints in open-weight AI models The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:54:43.697730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 05ceea5f-d5b4-4766-8048-c3b89b0f050d · inbound

Reproducibility is the New Copyleft: Defining AGI-oriented Reproducible Builds cites this paper.

Reproducibility is the New Copyleft: Defining AGI-oriented Reproducible Builds The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-28T08:41:48.917733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4c4df6b1-28a5-4948-95ea-c4f0ad741c4a · inbound

Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures cites this paper.

Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:27:22.465495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dfafd97b-c268-42bf-a3a0-4b50fd979ffd · inbound

The Shift Toward Open and Reproducible AI Research cites this paper.

The Shift Toward Open and Reproducible AI Research The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T03:50:28.079398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e1b35f2-8eaf-454d-b071-ed1a8f647499 · inbound

The Shift Toward Open and Reproducible AI Research cites this paper.

The Shift Toward Open and Reproducible AI Research The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T05:23:07.282862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ac4c98b-d301-48c9-92c3-9ddfab727baf · inbound

Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA cites this paper.

Open AI in the Wild: Adoption and Adaptation of Open Models on r/LocalLLaMA The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T11:29:23.961867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6bd0c9c0-16ac-48b0-bae0-a79c01a2e5c9 · inbound

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models cites this paper.

Odyssey: Constructing Verifiable Local Truth-Preserving Foundation Models The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:06:02.810720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 40b55f86-c84d-4e6f-8a17-fd470b2327aa · inbound

Who Does Withholding Delay? A Game-Theoretic Model of Open-Weight AI Release Under Asymmetric Proliferation cites this paper.

Who Does Withholding Delay? A Game-Theoretic Model of Open-Weight AI Release Under Asymmetric Proliferation The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T04:04:58.045427Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.