Paper Citation Record · LEDGER

Differential Coding for Training-Free ANN-to-SNN Conversion

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.00301.

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

pith.paper-citation-record.v1
2503.00301 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T06:57:05.578273Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:31.081474Z

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 611a3d31-21b6-4055-8200-f9cf1b1cb957 · inbound

Error Amplification Limits ANN-to-SNN Conversion in Continuous Control cites this paper.

Error Amplification Limits ANN-to-SNN Conversion in Continuous Control Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T06:57:05.578273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 388d2c24-702f-4818-8bbf-86aa689a9b3f · inbound

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems cites this paper.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:49:31.084035Z

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.

Observation a729eac4-d798-42d5-a5fc-2aa0ad542730 · inbound

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems cites this paper.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T13:18:49.934379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 857bcad8-dcd1-4093-b4dd-d860aa7e6e8d · inbound

SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks cites this paper.

SpikeVLA: Vision-Language-Action Models with Spiking Neural Networks Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:33:54.605392Z

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.