Pith. sign in

Paper Citation Record · LEDGER

Spatio-Temporal Pruning for Compressed Spiking Large Language Models

As of 6 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2508.20122.

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

pith.paper-citation-record.v1
2508.20122 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:03:30.512446Z

measured 49 of 49 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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy37
  • unresolved11
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14d234f7-e83a-4e18-9992-0949e073aabb · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:42.096877Z

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=pdf_text observed=2026-08-05T17:03:24.830565Z digest=sha256:3c2bf21808bba99a4def07ebf330fefdc0f450e4b9149b73f51a0139916232b6

Observation 36a2a9bf-6d9e-4bab-874b-b0ecd904ef98 · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:41.756983Z

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=pdf_text observed=2026-08-05T17:03:24.903117Z digest=sha256:a2699748b61d2d16e7994dc04e204bbe507ef595e00cacdbe77900f0c7e69c57

Observation a25cbe5d-a9e2-48f7-b185-3bcc0cb6f0a3 · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:41.569156Z

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=pdf_text observed=2026-08-05T17:03:25.004110Z digest=sha256:e2e54bc796e67cc2a118be9d481384857da71230f4a39c6fccb65806af84a6e2

Observation b214d5f4-b3b0-4f4a-8ecb-dfb89b324f15 · outbound

This paper cites If it was a mistake in the GT implementation, we fixed the GT implementation.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models If it was a mistake in the GT implementation, we fixed the GT implementation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:41.288729Z

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=pdf_text observed=2026-08-05T17:03:25.114363Z digest=sha256:da2a128a778259c30626878e8eca47400b7a856dc1136ae01668404b21da25fa

Observation 2a2c3b74-49b1-4918-be90-57447aec4fce · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:40.940153Z

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=pdf_text observed=2026-08-05T17:03:25.220284Z digest=sha256:397beb6985025d4411e87da86348a16594941ef07c15e0f8babf8d0800469ea2

Observation e2491f6a-ef26-485a-8258-e25bb9e828c3 · outbound

This paper cites We discovered a few more errors this way, and repeated until we were confident in the correctness of the GT imple- mentation and unit test cases.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models We discovered a few more errors this way, and repeated until we were confident in the correctness of the GT imple- mentation and unit test cases

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:40.635650Z

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=pdf_text observed=2026-08-05T17:03:25.288329Z digest=sha256:d0ea327131335526466ebc9b42ca32fbb7e2173dce8c1cf4753eed5fad806475

Observation 25856e26-f246-4658-a81d-59cfc8d93875 · outbound

This paper cites Although we gen- erate each MS one at a time, we provide the entire MSBA specification to the LLM because it often needs the entire spec to generate even a single MS correctly.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Although we gen- erate each MS one at a time, we provide the entire MSBA specification to the LLM because it often needs the entire spec to generate even a single MS correctly

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:40.368057Z

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=pdf_text observed=2026-08-05T17:03:25.425173Z digest=sha256:b512d4b576548a6b99d5ae4a574fab91a441c3251f14a4ffa165f82b538200ff

Observation b0b94add-7d5f-4715-b516-e2d5d6d216b3 · outbound

This paper cites A resource is either a primitive data type (int, string,...), a structure, where each field is a resource, or a col- lection of resources.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models A resource is either a primitive data type (int, string,...), a structure, where each field is a resource, or a col- lection of resources

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:40.079269Z

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=pdf_text observed=2026-08-05T17:03:25.556040Z digest=sha256:fb6074717103c0fcded017cb9c92cd9163f4ad3e5d413db5c3fca051871998cd

Observation 96a15390-7e88-4367-8d40-31073ccd7920 · outbound

This paper cites � is ������ ���� �� � if � invokes �.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models � is ������ ���� �� � if � invokes �

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:39.753889Z

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=pdf_text observed=2026-08-05T17:03:25.665349Z digest=sha256:25533b59228e86d5cd10c71a9770829c12d8521706d1669449ba1733f95a4666

Observation c1f4492e-878a-4205-9070-45c6cdd5b2c9 · outbound

This paper cites We count the number of packages that the GT implementation imports.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models We count the number of packages that the GT implementation imports

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:39.367594Z

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=pdf_text observed=2026-08-05T17:03:25.768148Z digest=sha256:5b180c03d4e39209c518ef2b605eef6ab87f287f13f8ffb90a9f4362beecca27

Observation 9928ea93-ebf0-4100-8114-4df3c455e7a5 · outbound

This paper cites moderate complexity.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models moderate complexity

Reference 11

Resolution
malformed identifier
raw_fallback, observed 2026-08-05T17:03:39.066828Z

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=pdf_text observed=2026-08-05T17:03:25.828020Z digest=sha256:498540a8cc8707aa567e7e7bf30238c903a878aaa6b0c2f1526431ef0e5a8b40

Observation c9ad544b-9c99-407c-87a7-58aef4aed702 · outbound

This paper cites https://www.langchain.com/langgraph, 07 2025.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models https://www.langchain.com/langgraph, 07 2025

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:38.828795Z

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=pdf_text observed=2026-08-05T17:03:25.954068Z digest=sha256:59d9b645ee3e5d78356455aae15fbbc4a8ab786c6599c484415dd155050a0f98

Observation 3642e800-6885-4f48-b499-3dbcf413c7c9 · outbound

This paper cites In ���� �������� ���� ������ �������� ���������� �� �������� ������������ ��������� ����������� ���������������� (2025), pp.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ���� �������� ���� ������ �������� ���������� �� �������� ������������ ��������� ����������� ���������������� (2025), pp

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:38.605115Z

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=pdf_text observed=2026-08-05T17:03:26.079301Z digest=sha256:47f515ea611d6f089526565a0ab5eefd7d2c5892e9ee3cb30d625d64dc2e00dc

Observation d9f1438f-fe5d-4693-a8c1-2706bd787d06 · outbound

This paper cites ���� �������������� (2021).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2021)

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:38.286179Z

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=pdf_text observed=2026-08-05T17:03:26.196008Z digest=sha256:c19688cbff22218f5d9268432c06b873348ca9f912f1b2218a856358f4b2f26a

Observation f80b8ce9-29e5-4620-91cb-7f50017b077b · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:38.017497Z

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=pdf_text observed=2026-08-05T17:03:26.316430Z digest=sha256:31c8594abdeae19158795e9f176d349aa6c4bc2c46342f77255b6f59ec2e8b99

Observation 2b75fad1-901d-46ee-a798-f4395f4a1994 · outbound

This paper cites API-University Series.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models API-University Series

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:37.862202Z

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=pdf_text observed=2026-08-05T17:03:26.465594Z digest=sha256:ebc0d2290c5e0f6ae36ed96c7f41a12a978aedc94345a15518f66aa1efdd8568

Observation 1f1c8923-53e4-4618-ba81-0155ce44256e · outbound

This paper cites In �������� �� ������ ����������� ���������� �������(2020), H.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In �������� �� ������ ����������� ���������� �������(2020), H

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:37.654614Z

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=pdf_text observed=2026-08-05T17:03:26.555378Z digest=sha256:6b549d83c398ef3a841d62e35a2dc5cb51831052976494cbbd1452a69bb71617

Observation 0e9c1ac4-3283-48cd-b426-8b6cd9af87ca · outbound

This paper cites ���� �������������� (2021).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2021)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:37.375397Z

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=pdf_text observed=2026-08-05T17:03:26.645908Z digest=sha256:a3bb6d9065988d4f10730630b08989e06ddb91949e308f4cdbfe161321c8ae4f

Observation d367660c-7d22-48f8-a7cd-53a160f746b9 · outbound

This paper cites ���� �������������� (2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2024)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:37.112003Z

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=pdf_text observed=2026-08-05T17:03:26.722391Z digest=sha256:c6dd80545110f078e1c7ed103fc274114e1a97d079d61223e7afb16f44aa8ac2

Observation 0a7c0e0b-bbdf-4de3-99e2-1d7920ec0a1f · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:36.933800Z

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=pdf_text observed=2026-08-05T17:03:26.843639Z digest=sha256:a07a4cc28bb6893f0a1eb8f72ca3402517370b89dec6d318a1d04fb9aafac5b2

Observation 5ce0fdb3-0a9e-4e3e-afff-b41cd96248cf · outbound

This paper cites ���� �������������� (2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2024)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:36.723202Z

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=pdf_text observed=2026-08-05T17:03:26.982307Z digest=sha256:0c4be44a7f385a7c3b8083f81f5701542f4fafe226107d0e8d572c0fc6b781bf

Observation 9927b145-9603-4abe-a7ec-60b1899de7cc · outbound

This paper cites https: //blog.promptlayer.com/best-llms-for-coding/, 05 2025.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models https: //blog.promptlayer.com/best-llms-for-coding/, 05 2025

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:36.391114Z

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=pdf_text observed=2026-08-05T17:03:27.108432Z digest=sha256:97eb07855d6999a7555b31e876f5ccc609f82a6cb4ecbe021da8b87e4f25ccf9

Observation 019fc2b0-0243-4f24-ac89-eb60be939110 · outbound

This paper cites ���� �������������� (2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2024)

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:36.155005Z

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=pdf_text observed=2026-08-05T17:03:27.349601Z digest=sha256:e81d4bd554daab3de3567beee79b95a0dfb31e0523b97249bf8284b96a1ca5e7

Observation f3bd8f0b-817e-4cb5-a0c1-59c67c7e2c88 · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:35.843555Z

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=pdf_text observed=2026-08-05T17:03:27.557688Z digest=sha256:a55fe533586f06f60abde49192607dc2a3f3a448d9bfaf87dae7955095c9623b

Observation 39b6bbcb-728c-4b57-9a06-e2b579896425 · outbound

This paper cites ���� (2025).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� (2025)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:35.662095Z

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=pdf_text observed=2026-08-05T17:03:27.701146Z digest=sha256:4bf161ef6010d5bb363868bc1939860e5cfd628efe117672e2c3aa98ff921f37

Observation 68cadbd2-a5e2-4c31-bcf7-301c7d0843ea · outbound

This paper cites In ����������� �� ��� ���� ���������� �� ��������� ������� �� ������� �������� ����������(Miami, Florida, USA, Nov.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ����������� �� ��� ���� ���������� �� ��������� ������� �� ������� �������� ����������(Miami, Florida, USA, Nov

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:35.356095Z

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=pdf_text observed=2026-08-05T17:03:27.834619Z digest=sha256:ca26f27ba8d7c3ebe236e0c0c010ed50c88ceb38e73a5b67e3436493db72bcf5

Observation 5b109ebe-30fd-419d-9c62-27fc73f56eb7 · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:35.125444Z

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=pdf_text observed=2026-08-05T17:03:27.968873Z digest=sha256:a832a4f7cd7264c18099bb1adc2063136e29865e87cef7b127a420951fdb0b9a

Observation 9604f3f0-f94e-45b9-96f8-0e1c90780b5e · outbound

This paper cites In �������� �� ��� ����������� ��� ������������� ���� ��������� ��� ���� (Bangkok, Thailand, 08 2024), L.-W.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In �������� �� ��� ����������� ��� ������������� ���� ��������� ��� ���� (Bangkok, Thailand, 08 2024), L.-W

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:34.942243Z

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=pdf_text observed=2026-08-05T17:03:28.111510Z digest=sha256:b76e53094b84069b600f798671b20ed9f487bde863c6a572e01ecca2403f4fdf

Observation 6f6906af-5b2e-4857-bc7c-7bdbebf80ce4 · outbound

This paper cites In ����������� �� ��� ���� ���������� �� ��������� ������� �� ������� �������� ����������� ����� (12 2023), H.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ����������� �� ��� ���� ���������� �� ��������� ������� �� ������� �������� ����������� ����� (12 2023), H

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:34.754939Z

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=pdf_text observed=2026-08-05T17:03:28.244374Z digest=sha256:b6a12f5789544062a1764734862748869fc8a1fd6695a8da4e56972e6aa1d82c

Observation d7dae3ec-d2a0-4cd5-b3cd-1e3babb42511 · outbound

This paper cites In �������� ���� �� ��� ���� ������ ������� �� ��� ����������� ��� ������������� ���� �������� ������� �� ���� ������� (Vienna, Austria, 07 2025), W.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In �������� ���� �� ��� ���� ������ ������� �� ��� ����������� ��� ������������� ���� �������� ������� �� ���� ������� (Vienna, Austria, 07 2025), W

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:34.531757Z

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=pdf_text observed=2026-08-05T17:03:28.427940Z digest=sha256:0bd5fe15338c95379dd4c002ba68dff1b7778ccb18713d0a5b2f194219949f11

Observation f49852b2-8257-40e0-8738-adc062e67ee5 · outbound

This paper cites ���� �������������� (2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2024)

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:34.372299Z

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=pdf_text observed=2026-08-05T17:03:28.620178Z digest=sha256:c12493550dd8a1c343d5915d272d0893391e070dc9499ade8ff18cf6604ba9d5

Observation 82669981-7ab1-40e6-9c29-905bd10cef8e · outbound

This paper cites In ��� ������� �������� ������ ���������� �� �������� ���������������� ���� �����(05 2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ��� ������� �������� ������ ���������� �� �������� ���������������� ���� �����(05 2024)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:34.143290Z

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=pdf_text observed=2026-08-05T17:03:28.771959Z digest=sha256:990409cfb4b9c7c81af218415650831964b1e751716b776ff8403217e2b9431d

Observation 2256d512-430f-435c-9a98-77eccb12521e · outbound

This paper cites ���� (2025).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� (2025)

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:33.917175Z

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=pdf_text observed=2026-08-05T17:03:28.942409Z digest=sha256:a8105572e31f7f7021d3be9c7a14d2e3c07ea4a893a1a7311eb81e0f8cb39a63

Observation 03d01e5f-7320-43e5-949f-a2150fdee9d2 · outbound

This paper cites O’Reilly Media, 1005 Gravenstein Highway North, Sebastopol, CA 95472, United States, 09 2021.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models O’Reilly Media, 1005 Gravenstein Highway North, Sebastopol, CA 95472, United States, 09 2021

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:33.669410Z

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=pdf_text observed=2026-08-05T17:03:29.074115Z digest=sha256:a9a8b10c8d8164a83c35e2732ceecdd4cbea2d1dc95d6aa4bcc556c2cc34b2bd

Observation 29593fad-ec53-44f8-8347-d51fe3459f65 · outbound

This paper cites ������� ������������ ������, version 3.1.1 ed., 10 2024.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ������� ������������ ������, version 3.1.1 ed., 10 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:33.483832Z

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=pdf_text observed=2026-08-05T17:03:29.258032Z digest=sha256:9b2038f395a8e806271f097e1406a47f2aaa71b2f88e2351141aad7c95f91914

Observation 72d3ed9c-0017-42fc-a897-16df78813a30 · outbound

This paper cites O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472, United States, 08 2019.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models O’Reilly Media, Inc., 1005 Gravenstein Highway North, Sebastopol, CA 95472, United States, 08 2019

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:33.304586Z

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=pdf_text observed=2026-08-05T17:03:29.374485Z digest=sha256:5c67b89f3b5d105be5ca1b3a934db9e2b91c34607e73f6912b6341ceff73e4ad

Observation 52185c04-fdcc-4822-aa0d-bfcc4339ba5a · outbound

This paper cites In ����������� �� ��� ���� ��� ������ ���������� �� ��������� ��������� ��� ���� ������� ��� ����� ���������� ������ ������ ������ ���� (2024), R.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ����������� �� ��� ���� ��� ������ ���������� �� ��������� ��������� ��� ���� ������� ��� ����� ���������� ������ ������ ������ ���� (2024), R

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:33.117555Z

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=pdf_text observed=2026-08-05T17:03:29.539905Z digest=sha256:8efef4409b05a481e9ef89f5fddf1c014965156441f0cafcba1ccfc39ffdd9e8

Observation 1f09bb35-c5d5-4d16-8cc9-f21198bc83ca · outbound

This paper cites In �������� �� ������ ����������� ���������� ������� ��� ������ ������� ���� �� ������ ����������� ���������� ������� �������� �����(12 2023), A.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In �������� �� ������ ����������� ���������� ������� ��� ������ ������� ���� �� ������ ����������� ���������� ������� �������� �����(12 2023), A

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:32.898361Z

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=pdf_text observed=2026-08-05T17:03:29.677810Z digest=sha256:ecac5f4db19a2bcbc2002142e7ed965fce24bac6ec810f142b05a8f83f7e4bbd

Observation 88299977-c14b-4f52-9464-b462c0f97708 · outbound

This paper cites ���� (2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� (2024)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:32.736212Z

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=pdf_text observed=2026-08-05T17:03:29.872159Z digest=sha256:3117235660a4731200b42c053ce1e478366c01edadf417bc837c810a8dd08a02

Observation a1edbb54-7b90-4e76-b94d-220db386e42b · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:32.538434Z

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=pdf_text observed=2026-08-05T17:03:29.955940Z digest=sha256:461b49720a6ddb4a257bd6a80759fd10f0e9da05dfd67237858d2c22f652f5c3

Observation 8c66bf05-bb62-4650-8765-39ef0e0a7949 · outbound

This paper cites In ���� ���� ���� ��� ����������� ���������� �� �������� �������� ���������� ��� ����������� ������ (2020), pp.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ���� ���� ���� ��� ����������� ���������� �� �������� �������� ���������� ��� ����������� ������ (2020), pp

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:32.360322Z

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=pdf_text observed=2026-08-05T17:03:30.004720Z digest=sha256:45009caf9cc764ebcd79cbebc92727db91417c3f2987cf05ba16feee86d74147

Observation 97243685-8e58-4b0b-aae4-ab6ce20d3732 · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:32.151091Z

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=pdf_text observed=2026-08-05T17:03:30.065103Z digest=sha256:189a9bdfa57832561949ec1f0a93b320cb3e4a9e24fbfc37d2ca4a99761f7494

Observation dd850f77-32e1-4dab-8c8b-8f68a5d6414d · outbound

This paper cites In ��� ���������� ������������� ���������� �� �������� ���������������� ���� ����� ���������� ����� ������ ���� (2025).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ��� ���������� ������������� ���������� �� �������� ���������������� ���� ����� ���������� ����� ������ ���� (2025)

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:31.915736Z

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=pdf_text observed=2026-08-05T17:03:30.102368Z digest=sha256:c7861eda0a9df3518d5fb55a0caf1fc45cbb7021cb1a43e47d574d71a7491832

Observation 00c32d38-3975-4e19-ad92-2c19a6126e2c · outbound

This paper cites ���� �������������� (2024).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models ���� �������������� (2024)

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:31.717699Z

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=pdf_text observed=2026-08-05T17:03:30.153994Z digest=sha256:e57dfae6b5776b606ee6406b211d9a44b1767d79a60fcd2a378e860a7c90359d

Observation 20b406aa-c988-4abd-8ab1-4c3e90f866a8 · outbound

This paper cites In �������� �� ������ ����������� ���������� �������(2024), A.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In �������� �� ������ ����������� ���������� �������(2024), A

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:31.480924Z

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=pdf_text observed=2026-08-05T17:03:30.227377Z digest=sha256:bdc9369fa5309b6e6eb8aa478be19f336190f421cf3c47e00cdb80aaec17205d

Observation 0e91442e-462a-4951-8597-5e8fe3264eab · outbound

This paper cites an unresolved cited work.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-05T17:03:31.255042Z

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=pdf_text observed=2026-08-05T17:03:30.302002Z digest=sha256:c7cff47ecb5a78617a37fe2de681e57c096bc052bb378acd2de28347ffd56715

Observation 7820ae2e-cf36-4281-986e-f435a0ffe8b2 · outbound

This paper cites In ����������� �� ��� ���� �������� ������������� ���������� �� �������� ������������ ���� ���� (04 2024), ACM, pp.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ����������� �� ��� ���� �������� ������������� ���������� �� �������� ������������ ���� ���� (04 2024), ACM, pp

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:31.034842Z

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=pdf_text observed=2026-08-05T17:03:30.392884Z digest=sha256:443f62b034f2f3ff0e36bf84e00245765204c6390ccb70d11e3ea9bcacd0e664

Observation 973416aa-0429-4b6d-ab45-7506331b9e5f · outbound

This paper cites In ��� ���� ���������� �� ��������� ������� �� ������� �������� ���������� (2023).

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In ��� ���� ���������� �� ��������� ������� �� ������� �������� ���������� (2023)

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:30.869267Z

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=pdf_text observed=2026-08-05T17:03:30.436137Z digest=sha256:f63af41077b7b8dc154b449526f57c838cb8bec972bb9cf5c6787f69a15526ac

Observation cbf33a58-9c3e-4154-b297-2c04f1154f5d · outbound

This paper cites In �������� �� ��� ����������� ��� ������������� ������������ ��� ���� (Vienna, Austria, 07 2025), W.

Spatio-Temporal Pruning for Compressed Spiking Large Language Models In �������� �� ��� ����������� ��� ������������� ������������ ��� ���� (Vienna, Austria, 07 2025), W

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T17:03:30.735441Z

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=pdf_text observed=2026-08-05T17:03:30.512446Z digest=sha256:41a035bf0e0d742829af083b80c0001e5de0793550f663124946df639c86542f

Pith citing papers

No inbound Pith citation observations are available.