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Paper Citation Record · LEDGER

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models

As of 15 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.07712.

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

pith.paper-citation-record.v1
2608.07712 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:28:31.948635Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b749bd32-9919-4820-9ea4-50b5e1e26e3f · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.604192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.604192Z digest=sha256:a7d02237f22831985d2e03eebfb595142214081b6c76542e2791e9675ae6e271

Observation 3d549dbd-03d3-4ef9-896c-12f5e7a9bc6b · outbound

This paper cites URL https://doi.org/10.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models URL https://doi.org/10

Reference 4

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unresolved
no resolver link, observed 2026-08-11T00:28:31.624055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.624055Z digest=sha256:88e47ed3d6984c3238d68446e5db581cecb999d1034697815327ca543791a8af

Observation 16e2c496-bbbe-42d8-a718-ef4433eb60d1 · outbound

This paper cites Masked Event Modeling: Self-Supervised Pretraining for Event Cameras.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models Masked Event Modeling: Self-Supervised Pretraining for Event Cameras

Reference 6

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unresolved
no resolver link, observed 2026-08-11T00:28:31.639057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.639057Z digest=sha256:21a57c46c724333b9edae6d7c9d2e30a3b4de21e7ce86b8caf236ce70324bf9d

Observation b6573114-b6b0-4c3a-b0c9-f15111109110 · outbound

This paper cites EventCLIP: Adapting CLIP for Event-based Object Recognition.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models EventCLIP: Adapting CLIP for Event-based Object Recognition

Reference 11

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unresolved
no resolver link, observed 2026-08-11T00:28:31.918739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.918739Z digest=sha256:22de4892a3b75d26225e7b823bcb07e8bab55e5fa1946cab986bae91a499977c

Observation 0ec3846c-ec45-4ac3-81cd-a8b2b631f1a9 · outbound

This paper cites Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.930858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.930858Z digest=sha256:e0d871fcd4345789b987d39fe8bd4418e22434a3d2b38f48652fb3075584393c

Observation 7faf1834-ec76-4594-b887-95874f2743bc · outbound

This paper cites URL https://doi.org/10.1088/ 2634-4386/ae46d5.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models URL https://doi.org/10.1088/ 2634-4386/ae46d5

Reference 14

Resolution
verified exact
doi, observed 2026-08-11T00:28:31.991319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T00:28:31.936341Z digest=sha256:60c2f98dc172ca850fdb4016badb65d0e66bd1de699cf9ed5d98e2a0a37147ae

Observation 52c7bf16-dac5-4fa4-a02a-e4549bad37db · outbound

This paper cites EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models EventBind: Learning a Unified Representation to Bind Them All for Event-based Open-world Understanding

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.942204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.942204Z digest=sha256:2f715352e6790ad44b6cb3c2ae03196d1e5033aae3ffd27022e6fbfad7da258d

Observation a0ff97bd-6693-4625-b9c0-1280f3e9073b · outbound

This paper cites SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.948635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.948635Z digest=sha256:50c261a14d2cb2e0575f4e03694e918a999901718167b3e6441e3d8b3cefcd52

Observation 46155f0f-611c-40ab-8b0e-a48737b076d0 · outbound

This paper cites URL https://doi.org/10.1109/JSSC.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models URL https://doi.org/10.1109/JSSC

Reference 2008

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.719887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.719887Z digest=sha256:6c6c5139857491744ae7333c8b5fd814bf82e5ca102d30d9fd2baa370da39820

Observation f1d8b05f-8e9d-4795-a6ab-d0bdf4835e04 · outbound

This paper cites Revisiting Feature Prediction for Learning Visual Representations from Video.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models Revisiting Feature Prediction for Learning Visual Representations from Video

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.611047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.611047Z digest=sha256:5ce47f66f51c561c8bbd2feeed44c9ebbc5dd46228bd2a5000cf62d3ec456db8

Observation 4927953f-e19d-492d-bd42-373a7c77459c · outbound

This paper cites World Models.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models World Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.631833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.631833Z digest=sha256:0301324962a40e0f9af95ef55acca07caef75af6022ecf03fa219b9b60a632f1

Observation ceedd486-c451-458d-8674-d76153e7607e · outbound

This paper cites URL https://doi.org/10.1109/MSP.2019.2931595.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models URL https://doi.org/10.1109/MSP.2019.2931595

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.788282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.788282Z digest=sha256:f7fe8ee129d67f52b21a07c35e5af2f7ea1a432c8cae1386124b672b1ce46311

Observation 181f755c-3747-4bfc-948d-4da5a16e818e · outbound

This paper cites URLhttps://roboticsproceedings.org/rss17/p011.html.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models URLhttps://roboticsproceedings.org/rss17/p011.html

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-11T00:28:31.644961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.644961Z digest=sha256:a0396b87d32e06ef1af4dd33bb3d6ba082866fabeb32f0c739bf54605627d463

Observation 09bc33ac-951e-4d1c-a999-c74635653193 · outbound

This paper cites an unresolved cited work.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models Unresolved cited work

Reference 2022

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unresolved
no resolver link, observed 2026-08-11T00:28:31.617146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:28:31.617146Z digest=sha256:d1629d5c5ef8f5116a68048320ad23be54136164d8f8b1793843e872177cf19c

Observation 5161f268-970f-4fd4-881c-a95026f4e7ab · outbound

This paper cites URL https: //doi.org/10.1038/s42256-026-01255-3.

SpikeWorld: Fast-State Adaptation for Frozen Spiking World Models URL https: //doi.org/10.1038/s42256-026-01255-3

Reference 2026

Resolution
verified exact
doi, observed 2026-08-11T00:28:32.065307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T00:28:31.831757Z digest=sha256:189864fe49111fd7ad02f588bfc4bbdb4f1cfe5a3e639c6e48bfd118c9209c8a

Pith citing papers

No inbound Pith citation observations are available.