Paper Citation Record · LEDGER

Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.14132.

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

pith.paper-citation-record.v1
2405.14132 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:34:22.231911Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T18:59:50.080924Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation acefb9ba-c267-4e58-84b4-2f7f153fac8c · inbound

Learning to Forget using Hypernetworks cites this paper.

Learning to Forget using Hypernetworks Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T05:05:52.313290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe89de76-7c6c-4b6c-a778-71ee2a39bb70 · inbound

Recurrent Diffusion for Large-Scale Parameter Generation cites this paper.

Recurrent Diffusion for Large-Scale Parameter Generation Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-10T18:10:45.887100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb25af0-45a8-4f8a-9cc4-02bb95b86cde · inbound

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights cites this paper.

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T19:34:22.231911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eae80ef-1039-4767-bde1-e58b02ce154e · inbound

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence cites this paper.

Stationary Power-Law Solutions of Kinetic-Alfv\'{e}nic Turbulence Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T04:27:06.805555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2db0792-38bc-4eeb-a2fa-0d2b279bbcd2 · inbound

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces cites this paper.

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T19:04:26.726932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a093e6ad-fe0c-4bc6-b004-f9cf2e028060 · inbound

Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems cites this paper.

Conflicting Scores, Confusing Signals: An Empirical Study of Vulnerability Scoring Systems Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalization

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:59:50.084968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.