Pith. sign in

Paper Citation Record · LEDGER

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks

As of 8 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2506.07720.

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

pith.paper-citation-record.v1
2506.07720 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:34:51.598958Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

24 of 24 outbound references displayed

  • verified exact5
  • verified fuzzy6
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 48e89eab-d4f6-465a-9364-f75bd4c8e961 · outbound

This paper cites Deep residual learning in spiking neural net- works.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Deep residual learning in spiking neural net- works

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:51.975239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.531652Z digest=sha256:0f214d6f6e35ef8af4f5d351c32840f26702e3144a16d1e3294756273d873870

Observation 58106141-a74b-4fb6-812c-6a3a70c764ab · outbound

This paper cites URL https://doi.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks URL https://doi

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T05:34:51.639158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.535023Z digest=sha256:b4171c6db7de6be3cd56f445b3e501dc734ef0599ef54e3be6d36210626a6315

Observation b783c2ab-d029-4776-a1d7-e1f58031851c · outbound

This paper cites Distilling the Knowledge in a Neural Network.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Distilling the Knowledge in a Neural Network

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.542671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.542671Z digest=sha256:68b089557c13171a3ef9593da27389c231390ff8c43aa1a032751e96773c1013

Observation c324c524-c0c2-46cf-b98c-528f1575b524 · outbound

This paper cites Deep dive into gradients: Better optimization for 3d object detection with gradient- corrected iou supervision.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Deep dive into gradients: Better optimization for 3d object detection with gradient- corrected iou supervision

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:51.952033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.554209Z digest=sha256:fbbd179e0e4d25cc0c9ef39e734675882f385f712ffd2ac4d9d5987a7822bb26

Observation 7140832f-5975-4d28-a2f2-db57c2a45d5d · outbound

This paper cites an unresolved cited work.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.557561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.557561Z digest=sha256:6a9ce08bdce417bfcd89f652eac1b37c44d70e3ede8c41448571f495832e6e01

Observation 541ae0d9-2429-4a47-8252-9f914d9d4930 · outbound

This paper cites T2fsnn: Deep spiking neural networks with time-to-first-spike coding.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks T2fsnn: Deep spiking neural networks with time-to-first-spike coding

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:51.940121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.562491Z digest=sha256:96753597386b74e2c611939973a3d00c27ac58d2efdc33ef0af6d8374e3ede0f

Observation 771c51d2-bab8-4aae-8bf1-787ac4b3cc7d · outbound

This paper cites Model compression via distillation and quantization.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Model compression via distillation and quantization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.565947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.565947Z digest=sha256:74526808cd9b3549714909c84059550640d8322daed510976d0da42dc96f061f

Observation caaea0e3-dc82-4c6e-b058-b40dcfa5522d · outbound

This paper cites Spiking PointNet: Spiking Neural Networks for Point Clouds.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Spiking PointNet: Spiking Neural Networks for Point Clouds

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:34:51.790483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.577174Z digest=sha256:2fcd256333c1ae5700bf0da82d5f3c65289bb4f7e0cf0b6cebe62e400197499b

Observation b18d3427-8395-40dd-a845-28745f61ce0e · outbound

This paper cites net/forum?id=lJdOlWg8td.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks net/forum?id=lJdOlWg8td

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:51.928274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.581045Z digest=sha256:184407ebbdfd595ba5d1470be3e7c229f4156010c0f6c90add36d16e72d7c635

Observation 664eef6b-8c6f-43b0-b902-8abcef9cf72c · outbound

This paper cites Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:34:51.777193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.584349Z digest=sha256:cc4a787e25a6e3ffd8e9fc517c0ee616b68e70f842ae3b80a99fd639f1a287af

Observation c1a19652-b635-485c-ad77-dc0e11b4c304 · outbound

This paper cites Training Spiking Neural Networks with Local Tandem Learning.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Training Spiking Neural Networks with Local Tandem Learning

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:34:51.762911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.587908Z digest=sha256:e3759841d08a44d8724fd33b19428d8cfa87237449fb6597c31e1698260f27a3

Observation 36bc2d67-5f0e-4085-aa2f-b32328c9c99c · outbound

This paper cites GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:34:51.749775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.591503Z digest=sha256:aef7e5f12ee5cf99678348fa61f81a4a4625e7b973007f76c9a46ffc6eccbf08

Observation 63dd0b75-e172-488d-ae5d-b0cab6cc4ec4 · outbound

This paper cites Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:34:51.734193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.595208Z digest=sha256:37e01e91ddea84be0c2aa7747aed0a004b33e0dd44aa6b74a1dc05ca29d0b72a

Observation 912e1c17-00e7-4320-8d45-48d317399e3d · outbound

This paper cites Zhang, W.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Zhang, W

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.598958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.598958Z digest=sha256:1db7771a37ed466a61a129c6d5df3fbad472a031ff9c0bd1325311070cee68c1

Observation 0dc8dca5-e6e7-4d98-9246-a3e82b065654 · outbound

This paper cites doi: https://doi.org/10.1016/S0893-6080(97)00011-7.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks doi: https://doi.org/10.1016/S0893-6080(97)00011-7

Reference 1997

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.550448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.550448Z digest=sha256:00e941a07462f73213128443425e2771f78a6bf71c4c3728ef1b1bf31c2d4864

Observation 5bdb933d-0a5e-4584-8126-e1b938293477 · outbound

This paper cites Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 2009

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.523954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.523954Z digest=sha256:7d39ec36761d8d72d461703d0dff190edf382d36c211e1903b82bc79d894fea5

Observation ca45fcae-a075-4005-af26-604917759170 · outbound

This paper cites Simple online and realtime tracking.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Simple online and realtime tracking

Reference 2015

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:51.992882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.511414Z digest=sha256:97e681c3a3039ab62a5f0ba8111054fd126d4132423d01781cd61e51d85e4ef9

Observation 6bf481e1-1d63-4d2a-8f2e-7cf03af98a7d · outbound

This paper cites A free lunch from ann: Towards efficient, accurate spiking neu- ral networks calibration.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks A free lunch from ann: Towards efficient, accurate spiking neu- ral networks calibration

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:34:51.963747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T05:34:51.547191Z digest=sha256:ae7068262d743dd358adcda405aa1e2f796a15a82afe2b3c096a314edd7c7b61

Observation 1062327c-6733-4675-8617-f01ad5ac2ae5 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Imagenet: A large-scale hierarchical image database

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.520244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.520244Z digest=sha256:61c14b9ca1c80363de66dca38297a989e46a2f7ffd6869d694c3e06217e37d3d

Observation 67b64e3e-a6fd-4f8b-8ff0-596fd2db3edb · outbound

This paper cites Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.538548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.538548Z digest=sha256:9c39160a966e1d073670a208e9f0b87d6331a3c713a9ae89cb4bc2d50575b3ef

Observation 15447c8c-4558-4b66-b6ef-07921dfa6e63 · outbound

This paper cites Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.573620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.573620Z digest=sha256:aab34a42fbe037157eccc04100e6d0e4f78ad50b423ad142653752d897fa9acc

Observation d7e1a140-6a9f-4440-97ce-5012d225ef96 · outbound

This paper cites an unresolved cited work.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks Unresolved cited work

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.516414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.516414Z digest=sha256:230954039e8fb80ad1029f14d3b634b2788b9b122ba5a858c847bcb9fe0156a0

Observation 4bb994a7-22eb-4316-972d-0446cc472d2c · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.527900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.527900Z digest=sha256:f8de840d2cc5824bb478ca7bc6bb38128395e9616235322d99fb1a17148bd901

Observation f21b8709-0dfc-4738-b2c1-04b0c9777414 · outbound

This paper cites DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks.

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks DIET-SNN: Direct Input Encoding With Leakage and Threshold Optimization in Deep Spiking Neural Networks

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:34:51.569959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:34:51.569959Z digest=sha256:b33b9df2c2a0e485257b4a12ea30a9dbb7a1aa77bed3d8a63aece4332ea80f59

Pith citing papers

No inbound Pith citation observations are available.