Paper Citation Record · LEDGER

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.07754.

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

pith.paper-citation-record.v1
2608.07754 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:29:09.704420Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

verified exact4
verified fuzzy0
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 944dcdfd-7129-4bcc-bf54-2cd67ff02878 · outbound

This paper cites P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks P-SpikeSSM: Harnessing Probabilistic Spiking State Space Models for Long-Range Dependency Tasks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.641953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890f3b26-6c69-4ea1-84b7-97c720f0491f · outbound

This paper cites an unresolved cited work.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:29:09.923188Z

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.

Observation 3bfc7d3d-b93b-43a6-b391-a713d3b1c142 · outbound

This paper cites an unresolved cited work.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:29:09.910117Z

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.

Observation 51406dae-6657-4c7a-bd00-90ffb818123d · outbound

This paper cites Spiking Structured State Space Model for Monaural Speech Enhancement.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Spiking Structured State Space Model for Monaural Speech Enhancement

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:29:09.783322Z

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.

Observation 6288bca8-ae2f-4a7d-886a-5b8a0683d189 · outbound

This paper cites an unresolved cited work.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:29:09.898531Z

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.

Observation c0da5b9f-4f8e-453c-a529-78a5492265ab · outbound

This paper cites Scaling Up Resonate-and-Fire Networks for Fast Deep Learning.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Scaling Up Resonate-and-Fire Networks for Fast Deep Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.663223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d221f00-8952-42aa-bf64-e527c7e551f8 · outbound

This paper cites Izhikevich.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Izhikevich

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.667371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66607d52-4603-48a9-b73c-60c8d541530a · outbound

This paper cites an unresolved cited work.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-11T00:29:09.887511Z

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.

Observation 5f7da1bd-6a3b-4527-af68-6ee54504d62d · outbound

This paper cites A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks A Survey on Hyperdimensional Computing aka Vector Symbolic Architectures, Part II: Applications, Cognitive Models, and Challenges

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-08-11T00:29:09.876361Z

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.

Observation c73e8371-bbb5-4237-86ae-800c7343a81b · outbound

This paper cites an unresolved cited work.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Unresolved cited work

Reference 10

Resolution: verified exact; doi, observed 2026-08-11T00:29:09.748927Z

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.

Observation 4a4a4015-995e-4cb9-a2c2-db05e2691bc6 · outbound

This paper cites Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.683792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adcd284c-b92d-4525-aa3e-bd2c23d7de8e · outbound

This paper cites Surrogate Gradient Learning in Spiking Neural Networks.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Surrogate Gradient Learning in Spiking Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.688031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c2b25a9-d030-4695-a5fb-346bfd4a0839 · outbound

This paper cites Hyperdimensional Computing Provides a Programming Paradigm for Oscillatory Systems.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Hyperdimensional Computing Provides a Programming Paradigm for Oscillatory Systems

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:29:09.839450Z

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.

Observation fcc3440e-23fb-4fc3-a2a4-8bd6c293316a · outbound

This paper cites Residual and Attentional Architectures for Vector-Symbols.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Residual and Attentional Architectures for Vector-Symbols

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-11T00:29:09.822581Z

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.

Observation b2badacb-0fb5-4811-bc47-05d398e07901 · outbound

This paper cites Efficient Neuromorphic Signal Processing with Loihi 2.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Efficient Neuromorphic Signal Processing with Loihi 2

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.700800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b600a0a-43b5-4c29-98f8-0216f2e638cc · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks Universal Differential Equations for Scientific Machine Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T00:29:09.704420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.