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Paper Citation Record · LEDGER

Diffusion-Based Neural Network Weights Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.18153.

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

pith.paper-citation-record.v1
2402.18153 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:04:27.967450Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T18:57:17.138231Z

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 378370b6-aceb-48ce-b294-d428d9437df0 · inbound

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion cites this paper.

Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion Diffusion-Based Neural Network Weights Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:01:42.522386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T14:59:37.970053Z digest=sha256:bb811fed43c7da2254d0eec22a35ecdef75ebf6c0d70de94fcb0694609d97c0a

Observation d8e2a5a8-7eea-43f2-859e-a34ca95b705c · inbound

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

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces Diffusion-Based Neural Network Weights Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T19:04:27.967450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:04:27.967450Z digest=sha256:53952de678b606f241dca9f54a314b3f81f602cc13422c7f4b426fd05b7a8c61

Observation 0b6389a9-2bfd-4626-8119-2e3906891251 · 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 Diffusion-Based Neural Network Weights Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T18:59:49.948552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:59:49.948552Z digest=sha256:286f65acf20bf075b72dfffe2a60ee9c5258449894e97bf28d7e91f6d5e38c9e

Observation 8b63cfe5-acfe-4ae2-9166-b6aba338e87b · inbound

SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression cites this paper.

SBS: Enhancing Parameter-Efficiency of Neural Representations for Neural Networks via Spectral Bias Suppression Diffusion-Based Neural Network Weights Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-04T22:24:34.984459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:24:34.984459Z digest=sha256:ed24d8751e81a893bfbcd8cb300804b59c103405789b4e4ea30356bb37fcfad2

Observation b4c33e8e-015d-41dd-859b-5ea1c3320a80 · inbound

Semantic-guided LoRA Parameters Generation cites this paper.

Semantic-guided LoRA Parameters Generation Diffusion-Based Neural Network Weights Generation

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-05T05:37:06.908891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:37:06.908891Z digest=sha256:caedbb0ad2a53f1c146c5fc80417d0d2cdfc1e5e87e42d6e8d4c143df9b6b8fe

Observation 0e881eba-6d86-4a04-a5c0-0b5790886eb2 · inbound

RAM: Recover Any 3D Human Motion in-the-Wild cites this paper.

RAM: Recover Any 3D Human Motion in-the-Wild Diffusion-Based Neural Network Weights Generation

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-15T08:45:19.114392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T08:44:49.087457Z digest=sha256:d73d037610946a503bb9f0c4c094683a830eb4a95ea316d37119f76c3f3d8e0a

Observation 180aec0f-164c-4331-814e-42cc42c13e84 · inbound

LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks cites this paper.

LLM-HYPER: Generative CTR Modeling for Cold-Start Ad Personalization via LLM-Based Hypernetworks Diffusion-Based Neural Network Weights Generation

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:21:02.567352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:32:12.344009Z digest=sha256:c60eed151c89e84e53c7ede0a18991fd6e97ce1d0b9375d3fb3e0df5a3a9e657

Observation 89886d43-9015-42d2-b5dc-29278f20f466 · inbound

Can We Predict The Human Preference For Text-to-Image Content Prior To Generation And Is It Even Useful To Do So? cites this paper.

Can We Predict The Human Preference For Text-to-Image Content Prior To Generation And Is It Even Useful To Do So? Diffusion-Based Neural Network Weights Generation

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:48.010711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T06:14:02.804743Z digest=sha256:ec374fb77811263a9e150be3fc8b1ca2ae126e96b29b9232c7a0bb276a561ae4

Observation cf2638cd-04d1-4309-bbab-8492b46e55ef · inbound

Robotic Policy Adaptation via Weight-Space Meta-Learning cites this paper.

Robotic Policy Adaptation via Weight-Space Meta-Learning Diffusion-Based Neural Network Weights Generation

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-07-02T18:57:17.140279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T21:43:30.625293Z digest=sha256:43956e26e7bd7d17aa26dd002665bb79e3bccb76e9ab05a947cdb3ccf7a2f7b7