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Paper Citation Record · LEDGER

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes

As of 6 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2605.17659.

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

pith.paper-citation-record.v1
2605.17659 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T09:15:32.395442Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

37 of 37 outbound references displayed

  • verified exact10
  • verified fuzzy19
  • unresolved0
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83ebc6e9-5973-4920-84b0-8acf5b561387 · outbound

This paper cites title =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes title =

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.218841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:70d76d3f50a88eaae369602e5d30e7304af8444ed522f82a74bb4c5c2dd69fd6

Observation 78006ebb-56a2-4b95-bd01-c133563cd6a4 · outbound

This paper cites Neural Networks , volume =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Neural Networks , volume =

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.229717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:3cd19d7d9127fc33a20f4a22357e0d008b5aab576555351dde5a1418f970a87f

Observation 4bf8802b-339d-4dfb-876c-a2c26b47172c · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , year =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.207660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:933b2702bb89b58208db770e3289614352140f0d1f990f14a4260da68972d76e

Observation 071e41b1-48a0-4166-b3da-544f24e894af · outbound

This paper cites 2022 , url =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes 2022 , url =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.212814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:2115321dae258ff6f787788ceb620871e2e43707f0a49bdb7624530a05d8e6a7

Observation 4b62806c-ff95-45ef-9438-db877f0205a1 · outbound

This paper cites The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:16:19.691350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:3707ef8f3c0eb06a11d80430f85a9bcc92fe42b1c9eeefb66446c0ff1d6439cb

Observation b4e38e85-474a-4e02-8d1f-8eed7e1d1aa4 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Advances in Neural Information Processing Systems , volume =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.221910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:00f716411a68ef3bf7b2687f7adc8381405c60dc617329dcb8c801b97484abf7

Observation ff69f4d2-2581-4f8e-8958-6f59c35cf6c0 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes The Twelfth International Conference on Learning Representations , year=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.225224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:f4644eb230c57b7959977ecf70748f961ced67bd10aa61c730603b706d63669e

Observation b4ebf4f8-f677-4de6-92e1-4ceec936a723 · outbound

This paper cites ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes ReLU$^2$ Wins: Discovering Efficient Activation Functions for Sparse LLMs

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:16:19.699136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:576276c4b3946c52ff598045c4d6493274eab2562dab14bcf8895cb961010325

Observation 2e016250-5642-4de4-a729-c454730775cf · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Advances in Neural Information Processing Systems , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.215685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:7c0a1956870105007cfc504504c327401566202247e5770b4cb103443df7d6c8

Observation b8b72a89-b4b0-4975-a4e3-b007a0470bea · outbound

This paper cites arXiv preprint arXiv:2603.05498 , year=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes arXiv preprint arXiv:2603.05498 , year=

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.695279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:8ca80c2ac3edde90a436a28663ed1cc475a5f661652c1d7125a4ed4ed759436f

Observation 1483b5ad-a82a-4383-9613-1ea32e911537 · outbound

This paper cites The Resurrection of the ReLU.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes The Resurrection of the ReLU

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.686754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:c01a7992f84f1801c47adb046821dcb8c32a5ca6565b010671c9bf69e0004df7

Observation d5c2466b-e4b1-45a9-b5a6-169903a8ddc4 · outbound

This paper cites Post-Training Statistical Calibration for Higher Activation Sparsity.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Post-Training Statistical Calibration for Higher Activation Sparsity

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.703261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:537df79c16072e37822125350275913a3431b15797f056ea3f7eadcf4b8d1a9f

Observation b3eafedf-9f6d-4db4-9b3e-28868a4a1f2d · outbound

This paper cites 2023 International Joint Conference on Neural Networks (IJCNN) , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes 2023 International Joint Conference on Neural Networks (IJCNN) , pages=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.204751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:f09b4efeda8516ed383837713df50b2330e54504627e4173b4f8d114f5ecd254

Observation 1c4a4ebd-9c7b-4190-9fb2-d22f2326640f · outbound

This paper cites International conference on machine learning , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes International conference on machine learning , pages=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.242649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:e7e1990d3994842214566b9ab52befba9f849a08953c20fa3883ee767a70c677

Observation 5d6e8f6b-7241-4b75-a36b-ee7483b35959 · outbound

This paper cites Layer Normalization.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Layer Normalization

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T09:16:19.659414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:2bfad7331e8d4545ebce5ee089b9e10cc05ae972fcb67d1bb845cf5c97118d57

Observation 2700e49a-8330-4fdd-9654-30602a194ab9 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Gaussian Error Linear Units (GELUs)

Reference 16

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T09:16:19.638545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:639d301b62f00359fb8e1b226bff62007495e94daa1b46113e7ddaec6bd4b95b

Observation 105f1378-6b05-4f22-b98d-5e736a4f7ba4 · outbound

This paper cites Advances in neural information processing systems , volume=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Advances in neural information processing systems , volume=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.248968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:d5feb45f0a1473177cd72e039b7e99d922cc9be8891b0bdd10edb49b304d9d0c

Observation 6ca56faa-626f-4de6-9e69-ab65d1bf2c70 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T09:16:19.673656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:4e9f1e2bfc6ede76ea9fe5918a445c6b9d49e923e3ce3638079da3fb30bb4487

Observation e4189aee-2868-492a-8fee-d75120c26432 · outbound

This paper cites International conference on machine learning , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes International conference on machine learning , pages=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.246016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:1a1c49a45f28271d30614a0eedc17bc7aec00cf879227a48a6b8fb19f9ebd9ec

Observation 41f62084-2ea2-415e-bf29-d466206687d0 · outbound

This paper cites Primer: Searching for Efficient Transformers for Language Modeling.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Primer: Searching for Efficient Transformers for Language Modeling

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.681494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:6e180e1afc323beb8f0d4024b2b454238b2cbdd0cab4bebc85adf8f1c9cad1ca

Observation 5b7d90ed-a98e-4947-9c50-38cac50fd68a · outbound

This paper cites Geometric Metrics and LLMs: What They Measure and When They Work.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Geometric Metrics and LLMs: What They Measure and When They Work

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-11T02:08:34.461803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:4078ffd2c5deb6ebc368f3eb83c3941f9777853c49857e428b47791215fd26ac

Observation ec0be7a5-1ea1-4ab3-bf16-526964d1d4f6 · outbound

This paper cites Proceedings of the IEEE/CVF international conference on computer vision , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Proceedings of the IEEE/CVF international conference on computer vision , pages=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.261989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:ae1738b75a7b87403e5633942892c724e5b1549ed78f3ea1941a3abac416b036

Observation ca2c3403-ea8e-4c65-b0d4-823fb02a2b9c · outbound

This paper cites Forty-first international conference on machine learning , year=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Forty-first international conference on machine learning , year=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.232916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:7ac89c55b73c3ec6acc5623163dcc9605354ff1bab7d5f9c18a6135382c1b37b

Observation 84799fa9-bd22-4ebe-9ccd-cf81d1676d8d · outbound

This paper cites an unresolved cited work.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Unresolved cited work

Reference 24

Resolution
parse uncertain
raw_fallback, observed 2026-05-22T09:16:20.267944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:ceedb7592bbcd961af3ce5cb0004fc7f9c7b5f15facbf5431fc070b4bb65f5a3

Observation c195a9c9-f6e5-487c-aaa3-d6cb589a2a57 · outbound

This paper cites Journal of Experimental Algorithmics (JEA) , volume=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Journal of Experimental Algorithmics (JEA) , volume=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.251925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:97f635617acce30ea38988d57c0fc2413365f2f6ef48aefa7cbf1f4633f2e6cc

Observation 25b3c3ae-40f1-4733-a85e-fb26b4a89f2f · outbound

This paper cites 2009 IEEE International Symposium on Parallel & Distributed Processing , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes 2009 IEEE International Symposium on Parallel & Distributed Processing , pages=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.258900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:52fc19a9f71551709963588aba1b187bc428207875ff8a8940f39fc45a1a0c76

Observation 5ee7af82-9fbd-4434-95dd-c92d02420468 · outbound

This paper cites Gated Removal of Normalization in Transformers Enables Stable Training and Efficient Inference , doi =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Gated Removal of Normalization in Transformers Enables Stable Training and Efficient Inference , doi =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.255423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:b8c76aea4730856ebf959f6ecbd10e1d1f1faf97902832327c2a1a03bb97b607

Observation 78d4044e-4943-4275-bdd3-3b418a7101dd · outbound

This paper cites Interspeech 2023 , pages =.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Interspeech 2023 , pages =

Reference 28

Resolution
verified exact
doi, observed 2026-05-22T09:16:19.451306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:3aafe84ea9f242d6eafba244517a72e3d194df237ffbe432d359b901e06c86dd

Observation 37342288-fb8e-4733-8414-bed30c0f7a38 · outbound

This paper cites European conference on computer vision , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes European conference on computer vision , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.264913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:c384c562f6d00f01eb28b5cd1318ee1f6ec7805e3c9b85010fcaa3b54a67a11b

Observation 05f19f5c-3ac5-420e-ad6b-561c5db3f2bc · outbound

This paper cites International Conference on Machine Learning , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes International Conference on Machine Learning , pages=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.239533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:abd12bb63637d6c5fc9a4974288a046ccadef7440be3fc30ba78bfe99dd1c813

Observation d91b01b0-66f2-4645-b40b-864a7b854549 · outbound

This paper cites Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated Parameters

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.642778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:b52f78a7ea0d2ae61925399d0eb853fc98c9505bacd61fc27887e8391166cb55

Observation e91ec100-df22-4e90-b5ad-588dfa27ffea · outbound

This paper cites Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles , pages=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Proceedings of the ACM SIGOPS 30th Symposium on Operating Systems Principles , pages=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T09:16:20.236253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:8f4cf69af641400d42f83d800653c2d817611906f6aa0caef93dfbe58be4d9a8

Observation fb60ca70-2e4d-41a7-a076-da0c8a450ea4 · outbound

This paper cites Training-Free Activation Sparsity in Large Language Models.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Training-Free Activation Sparsity in Large Language Models

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:16:19.669502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:cff4c1c939734396842f8cde70e33c4abaa915ea4e6bb3344bff3e7a24361462

Observation 6fa8f132-cc1f-4611-8534-8237ba4dec80 · outbound

This paper cites CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes CATS: Contextually-Aware Thresholding for Sparsity in Large Language Models

Reference 34

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:16:19.664264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:610c8af14ce58062eb7fc1def0b0bb12d094bc28eb33530d513072be38e4db95

Observation a225b88b-dd5c-4fac-b81e-eceb096fa214 · outbound

This paper cites arXiv preprint arXiv:2505.14884 , year=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes arXiv preprint arXiv:2505.14884 , year=

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.655390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:efebee51385ad30cca15e260535b661b30eb53fe57abab2fb4099688864d799d

Observation b983c51a-6089-4990-b166-a8deda8a07b7 · outbound

This paper cites arXiv preprint arXiv:2503.05613 , year=.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes arXiv preprint arXiv:2503.05613 , year=

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.651165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:d3fab84ae67415e4a0ba2ae2e14dbbc201686c5a35438db60523fe6a2935adee

Observation ca9507fc-f464-4af7-9f8c-3bd8038cb2a7 · outbound

This paper cites Dying ReLU and Initialization: Theory and Numerical Examples.

Bug or Feature$^2$: Weight Drift, Activation Sparsity and Spikes Dying ReLU and Initialization: Theory and Numerical Examples

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:16:19.677693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-22T09:15:32.395442Z digest=sha256:5cc82c65efd122cff81d013bbb2db73489e927bb11a790b9b909bb36ffe2c3bb

Pith citing papers

No inbound Pith citation observations are available.