Paper Citation Record · LEDGER

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.03287.

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

pith.paper-citation-record.v1
2406.03287 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:43:08.687904Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:21.533655Z

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 693a019e-4449-4029-b8c7-c25009e84297 · inbound

Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives cites this paper.

Reconsidering the Energy Efficiency of Spiking Neural Networks Inference from Analytical Perspectives SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:38:27.775025Z

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.

Observation 8e8d825a-c5f1-433a-85a5-b0acd7c7e3fd · inbound

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model cites this paper.

Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T11:15:48.015984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99cf7293-7a28-4a6b-8430-15df90e82ce6 · inbound

FAS: Fast ANN-SNN Conversion for Spiking Large Language Models cites this paper.

FAS: Fast ANN-SNN Conversion for Spiking Large Language Models SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T00:24:58.362065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f7a9e18-5a6c-45a9-8b23-560261be4658 · inbound

LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models cites this paper.

LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T21:43:08.687904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 592e31cc-5c51-47b8-bfb8-f66e0cc4a834 · inbound

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks cites this paper.

Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T21:11:04.455796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab43b157-5669-434c-a638-6a8d96b5a1cf · inbound

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons cites this paper.

Improving Performance of Spike-based Deep Q-Learning using Ternary Neurons SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:12:15.936441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 083d0284-89ed-45a5-beef-7767a5acfee0 · inbound

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation cites this paper.

BiSpikCLM: A Spiking Language Model integrating Softmax-Free Spiking Attention and Spike-Aware Alignment Distillation SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:15:11.777523Z

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.

Observation cbfa7860-7a20-4a97-9a2e-44638545f14e · inbound

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning cites this paper.

LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms

Reference 72

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:21.535187Z

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.