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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:39:04.270302Z

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 77ed54ee-019d-4cbd-a899-44c18e9ac2bb · inbound

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning cites this paper.

Spiking Neural Networks with Temporal Attention-Guided Adaptive Fusion for imbalanced Multi-modal Learning Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:04.270302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:39:04.270302Z digest=sha256:f52110a40a6e776f231ccb5a219cf8f5754b0a900e84706834d26ccfcfed14e9

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.

source=pdf_text observed=2026-08-03T06:57:05.578273Z digest=sha256:6e7f0656774201a2837fddee691449eddc75c339e5e72a4301496f32e82a45ed

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T17:32:24.134706Z digest=sha256:9daf8b51b2a0aeef9e241d07f7552bb7ce84ecae2d60b282c8d13eceaac6f797

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.

source=pdf_text observed=2026-07-12T13:18:49.934379Z digest=sha256:4cd252f0892a483f96d9ea90bfec9774b1db4abac0c0026661a3c01e9e5e025b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T04:42:23.040915Z digest=sha256:820268f51df0c0d67b14c78e267d9b1bfdbfbc12de03c2183539314ee91b3caf