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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 15 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 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:24.967561Z

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 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.

source=pdf_text observed=2026-08-07T13:04:24.967561Z digest=sha256:89f8b75450a558095ffa9bbc90c2675cc1777e6e2ed52cb138f840e019c445ee

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.

source=arxiv_source observed=2026-08-07T12:52:39.434364Z digest=sha256:918d92761b54f0e3fcf08162b9ee1f2bd0ccd5c6d9b5afaa5feeef2941331844

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.

source=pdf_text observed=2026-08-06T20:09:33.752264Z digest=sha256:94de73c6525820ec31acec53d8d14992c2cc1ca2da4864bec2afbc81c89e101a

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.

source=pdf_text observed=2026-05-10T17:56:07.756655Z digest=sha256:fae41503d3b47aebb704d89295ae6b24db1617a9f628bb3e429bf4de4a909b33

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

source=pdf_text observed=2026-08-04T05:33:39.782080Z digest=sha256:e6fb2893b0fee75475437e424843103fa823613d0b35cafb52327357c971862f

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.

source=pdf_text observed=2026-05-20T18:53:16.389210Z digest=sha256:af1248996a60063745101f428732787d81fb1e50baecc18aa98040f6070f6e52

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

source=pdf_text observed=2026-06-30T19:14:06.301012Z digest=sha256:3b0f524222ef0e6186955136df44c0ddc71dfe1537b51dccb67d80a45ebd4059

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.

source=pdf_text observed=2026-06-30T13:54:17.456664Z digest=sha256:f78150b5d3704dd3ba1fdbd28ef86b2626d5d3efb95e637cfe885ba9ec728c3c

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.

source=pdf_text observed=2026-06-28T08:31:51.668700Z digest=sha256:8ea6b963d2f6f16f093a4cf5e90e7d262266626f2cb3a925c2e2fb9f882eb6e6

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.

source=pdf_text observed=2026-06-27T20:24:43.595757Z digest=sha256:2302b13981ff01a3b0a83bae7f8dd6e4e5e6238632b1ec59a0e6eed959b947f5

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.

source=pdf_text observed=2026-06-27T03:44:32.462152Z digest=sha256:efca5e904bf618d6e6d97684323f35eaacb87d8fec23e2fcd90b0a44f8dd6418

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.

source=pdf_text observed=2026-06-29T05:17:32.600711Z digest=sha256:96743159d5b0fa66c0cf5f739dee00a74c077568d4e9912ee90d14576d3b5e6e

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.

source=pdf_text observed=2026-06-26T11:26:39.853692Z digest=sha256:f6d7bc7a83ff18ca2da41548616d52948c3ae1704c2f15fd623f3abd7bbaedaf

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.

source=pdf_text observed=2026-06-29T01:12:47.538326Z digest=sha256:13eb3c48fda48725241eba4378a19d0462985f3c4162ad21fda66593eb75fa8e

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.

source=pdf_text observed=2026-08-01T04:04:58.045427Z digest=sha256:f70f5baaea7773a883051d5a9bc15079649b88ac0fa363f6e8bf29e2f4265796