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Paper Citation Record · LEDGER

Neural Network Diffusion

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2402.13144.

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

pith.paper-citation-record.v1
2402.13144 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:38:49.038638Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:57:34.005609Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 6489f34a-28d3-40ae-9c30-d6d546177670 · inbound

Diffusion Models are Evolutionary Algorithms cites this paper.

Diffusion Models are Evolutionary Algorithms Neural Network Diffusion

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:23:24.749099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T20:20:41.714485Z digest=sha256:67b463b9c5bbe338e86db9652fb346ea291968806302458a27b19c22d67cb04f

Observation 0e546917-cae3-46c5-aec0-1c59c611d030 · inbound

Few-shot Implicit Function Generation via Equivariance cites this paper.

Few-shot Implicit Function Generation via Equivariance Neural Network Diffusion

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-10T22:30:10.745269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:10.745269Z digest=sha256:eb5882321b2ad360da227a3331befafb046866610dc76b2c1752372dd88dfa6c

Observation 4177e8ed-f70d-478b-b3fc-d3786351bf89 · inbound

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

Recurrent Diffusion for Large-Scale Parameter Generation Neural Network Diffusion

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T18:10:46.019121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:10:46.019121Z digest=sha256:e0b5453d257ecbb858dc553d110ca4feb011c60cf4b4106329e958bf78e64fc4

Observation e4fcc5c5-8598-4d00-934c-8d40cf325e8e · inbound

Model Diffusion for Certifiable Few-shot Transfer Learning cites this paper.

Model Diffusion for Certifiable Few-shot Transfer Learning Neural Network Diffusion

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T14:20:09.485195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:20:09.485195Z digest=sha256:452c0252a5e9e576ba7bd94a4d78a58df3d1cb048ea84760b60913a48fc81b20

Observation 7d08e372-7cd8-492f-a160-dc348bb07d8c · inbound

NeuroGen: Neural Network Parameter Generation via Large Language Models cites this paper.

NeuroGen: Neural Network Parameter Generation via Large Language Models Neural Network Diffusion

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:49.038638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:49.038638Z digest=sha256:19e831e1d6b12c53a86935892c00ffe3d893d9cc961cdb01897f2ecc4b030655

Observation 168419f2-1d97-41ac-8c69-a8355b572bf2 · 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 Neural Network Diffusion

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:01:42.502811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T14:59:37.970053Z digest=sha256:afa6937164b8162afdb1083e5191bdc9ccf9f9e5efda82a5b1c44a673f3b60c3

Observation 3e1f5ffc-5f54-40b2-920d-d0988c7e1956 · inbound

Fast Kernel-Space Diffusion for Remote Sensing Pansharpening cites this paper.

Fast Kernel-Space Diffusion for Remote Sensing Pansharpening Neural Network Diffusion

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-22T01:24:30.437156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T01:23:07.351624Z digest=sha256:390ade0b7130f1d348d533672d3549ed709d344efc9d5a6dbe3eb1f6088cdebf

Observation 48076efa-5dd3-4516-a2b4-d39a30062391 · inbound

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation cites this paper.

DiffPINN: Generative diffusion-initialized physics-informed neural networks for accelerating seismic wavefield representation Neural Network Diffusion

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:04.271206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:04.271206Z digest=sha256:0f86b53ecea053fc5baeedda548c614412af1f786f630f15a6b46455465cc5af

Observation f3add8f2-319b-43c7-8ca8-19f31db80f4c · inbound

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

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights Neural Network Diffusion

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T19:34:22.312097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:34:22.312097Z digest=sha256:c7d4858f101a8781119354a3c209da0171a01afa89c222ad36d1a50ddabc1971

Observation babf6da7-fdf4-4f2d-8867-5b0080afda67 · inbound

Reimagining Parameter Space Exploration with Diffusion Models cites this paper.

Reimagining Parameter Space Exploration with Diffusion Models Neural Network Diffusion

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T19:06:15.279310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:06:15.279310Z digest=sha256:196644ae4af44a583a48f1142593f248185b6234e865e111a05977b42506db57

Observation d8e27d39-8641-400c-bf23-38d8ff34486e · inbound

Learning with springs and sticks cites this paper.

Learning with springs and sticks Neural Network Diffusion

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T16:07:47.100813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:07:47.100813Z digest=sha256:76b864f6e9ae22cd8a55b289ba4e92f6c315fe9ffb2edf0e29e28d275d0e3644

Observation dbd2046c-fcc5-47ef-b859-5c1b65515298 · inbound

Delta Activations: A Representation for Finetuned Large Language Models cites this paper.

Delta Activations: A Representation for Finetuned Large Language Models Neural Network Diffusion

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T16:32:08.610494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:32:08.610494Z digest=sha256:71b60cdfa24482d6d1b523537029181dd30faacea788edbdaa00844f781d27e7

Observation a13c0d7c-328e-4246-b47e-fbfaeaf9a904 · inbound

Weight Space Representation Learning via Neural Field Adaptation cites this paper.

Weight Space Representation Learning via Neural Field Adaptation Neural Network Diffusion

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T19:13:33.534801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:13:33.534801Z digest=sha256:7951b64577d0e74b16972e8f302bc14723940cadfc7b612147d0a28db98f8e82

Observation 3e693b5d-b169-45d3-9770-4df865b91219 · inbound

Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights cites this paper.

Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights Neural Network Diffusion

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:02:50.252377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T19:01:09.224050Z digest=sha256:694979897aed1de497a227927e8011d0aebb362e52d1e6546327e5fa35c3b4a2

Observation d0ace2cc-1863-4e23-9ece-210e8eda42bf · inbound

Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers cites this paper.

Scaling Linear Mode Connectivity and Merging to Billion Parameter Pretrained Transformers Neural Network Diffusion

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:39:45.061599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T08:39:59.835392Z digest=sha256:3bbf1810a8e8920c299d3bb65c1512b90547d16614a73ace61436459a147eb27

Observation 0dedf39a-1fa3-4292-90bf-29e3113ab8b0 · inbound

Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork cites this paper.

Escaping Iterative Parameter-Space Noise: Differentially Private Learning with a Hypernetwork Neural Network Diffusion

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.907337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T05:08:36.471274Z digest=sha256:dcdb421f092b801736586531d71c6c2ffd950c5e90d05044872137f82ed8e88b

Observation f39b07fb-ea16-4866-82ff-ff6a7d3ac395 · inbound

WeightCLIP: Aligning Datasets and Models for Weight Space Learning cites this paper.

WeightCLIP: Aligning Datasets and Models for Weight Space Learning Neural Network Diffusion

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-12T01:40:42.575548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:40:42.575548Z digest=sha256:0c41c6fa9adf861dfbffc51e73ad074db1ca224ffa03ca2f2ed3f2a21eb7d385

Observation d9377204-1d01-4658-9d2e-cf6f037636df · inbound

Architecture Generalization with MetaNCA cites this paper.

Architecture Generalization with MetaNCA Neural Network Diffusion

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:57:34.006786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T19:54:36.854624Z digest=sha256:91a9601db8e2411d4e358a01215c65ce029e303bcc9f48f447e8e3dc70dd20e6

Observation a619eefc-901b-4842-b991-83b0d26e1e96 · inbound

ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization cites this paper.

ReRound: Reconstructive Rounding to Resolve Midpoint Ambiguity in Calibration-Free LLM Quantization Neural Network Diffusion

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T11:32:20.833457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T11:32:20.833457Z digest=sha256:cdbcf8c6145d6e81e7f8e48bb2c40c0aaeee529fa15c875e6b5ea739eb99c3b7