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Paper Citation Record · LEDGER

Spatio-Temporal Pruning for Compressed Spiking Large Language Models

As of 7 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:24.903117Z digest=sha256:3b4559d8cce80d35b62a921b351dc6180a85671eb0e397261b039ad6fb7ce250

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.004110Z digest=sha256:62410e2cdedf865444628a8fd3658a70bebcfedc2a829a065f0328c75ad11679

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.114363Z digest=sha256:9072bc39ce549e54117a38182eb824c936a1a34a2cfadbf1d1ddefa222d0e02c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.220284Z digest=sha256:2abe726a8159959e271565b7a17822dad10cd04650257a3704a34d2b75efe647

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.288329Z digest=sha256:b8daa1c32798b6c796b2cc0bb03d2bf85a59c91944169842c25447e4c21db8f5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.425173Z digest=sha256:9f0020e258ff558f3ced4abb301e383770eea60ed06e5cfcbd8e4b258674ca89

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.556040Z digest=sha256:30e48db4858449bd5fe2a63eefa2e58d53d048aed6f8ca8d42e652224d0ebd2b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.665349Z digest=sha256:0a45508075e2683fb1f170cb5b5f0ee389c20a2f79b39b65f72e6232ad337cf6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.768148Z digest=sha256:442b60217c8496ac56d457b39c98b8617d1ef29796e1556fb008d0ac91bd41d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.828020Z digest=sha256:34b257aa2f97767ca0a2d711fe48076213c51e58bc1ed91ab2333c887fdf20b4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:25.954068Z digest=sha256:149ce59c6dbe260ef15a612d4329fe1191a0c9a7261597069f2a16f9a0b50607

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.079301Z digest=sha256:0df7104ab0d698a37651e6d686581b691da3c0b7952f7dbe63156670f24d2c7e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.196008Z digest=sha256:90db1ef689947f0f940efc629c750a5545b7774f83824097061f2e32cb104593

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.316430Z digest=sha256:0ae55b90228121c29358b0fc04112293798cb44c9b83be197444d3de9bdeb498

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.465594Z digest=sha256:805d6dbb62d01c14de97c91ceba357193558cff37364dcb67412a258a322d0d5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.555378Z digest=sha256:7af0e9d66139cca99651c55b9354bb48a9f9bfb040d2e2e7914957f7c5575674

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.645908Z digest=sha256:48a8bbdd9162f47590d786670688a9a71cda5e491dc3e6d66f244daed057856f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.722391Z digest=sha256:8358a644f7cda4a73f75c5e0822bbc91dd0b337277e915df77f3e63afff7b753

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.843639Z digest=sha256:bbe3f81a809f332f74581cae7529f8cfd34cb20b40783a29b011143978cae6d6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:26.982307Z digest=sha256:28209167af467d26f2fbf2a3361ee3f42f30093c19b8ad95aa5068c6690ec792

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:27.108432Z digest=sha256:266f4239b00f670d3016e2a96b6b4d80c4f534b868a4ef7e34bb42446ac6f21c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:27.349601Z digest=sha256:3d1c5e79f4247755764eba9072f6f39dbc2389cdac2e40d029c3cb6c6021bd49

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:27.557688Z digest=sha256:af858b0cf14dbb97b97be8b0bbb852b3d8ea66c0e5499da3f51dd029d882c200

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:27.701146Z digest=sha256:8fdf6bd059cf4fe54f1120cf20d4e7cb7b0c452d011dab0eb6d446e6f5432796

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:27.834619Z digest=sha256:e6eefdbfd655e32961f593c5fe1a5f4b54a46b72ba9f50b203e7f71fe47ef34e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:27.968873Z digest=sha256:e2e80c9689b565884f26864ed3c547f17b6cf6a0169ec2ed4561038dfdf08de9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:28.111510Z digest=sha256:8c6314c3d534b7629288191aca6a5b72f3335e3345bc0d152cf9df2b0c0ee8d5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:28.244374Z digest=sha256:3314d3c0c38a078e8d8457273a436872e2ca028ea8a5899b913a62340fa7356b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:28.427940Z digest=sha256:072741e793c8471bec0bd142151b64d146fb948d14fba6b2ab1e821413bbfc0b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:28.620178Z digest=sha256:e1a4fa1c06f2d782bbda0387ea0e79405381959de5ba6e2908e5d7f0136d5631

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:28.771959Z digest=sha256:233f765ddb6e8e9b676dc4e4c93145b63b1763883affdb3f7bb656fb7dd0b3e4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:28.942409Z digest=sha256:e90085bfa0ccde4c8bbc5276f87d8723e239573f7dfebe7ebcda27b9d3fb98d7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.074115Z digest=sha256:99e10eca679048d66877af98409da0c4a5329aac9ec9a04cb36d0249448cfe19

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.258032Z digest=sha256:35fc03881936ee8914c6955dc48414abf80c3c2c41e8c6d79d83c79150767309

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.374485Z digest=sha256:93c8a9011730fbf44ee7e5f7d99a0d26ec5aff2d86124ccd8bb95ccb887fc9de

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.539905Z digest=sha256:a5863c6f923ba47691b025d58e773836ea29312f95e81814396d429bda6b729a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.677810Z digest=sha256:3e344166ffe4553606cd1bf277b05e26cbc5cb3b65c11efc4742384d386f47ac

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.872159Z digest=sha256:be7e8e6bcd039cd7a31e377c9ad5b0dda3d33c1bda31d1636aec3d19a8f54766

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:29.955940Z digest=sha256:44dd873a0077401baaf702bf0497b25d3235d50b224b95a17c89dde4f5f3274a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.004720Z digest=sha256:3ae4bb89b08289ea569dcfe0e58d580f0d31b5ccc7754623dba140598378bf85

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.065103Z digest=sha256:e1ea0f05fd35a2ba3580431a1058e47ca23b85f4a3d905cb2eb6526111900002

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.102368Z digest=sha256:7572e618f6346a4c369efd2264d07c3fb970025314d686744b95244a8d824419

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.153994Z digest=sha256:f63174c37689a8c96a97b980ddf6f7c029003bd5983b26d4f48b5e3d25dbce4c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.227377Z digest=sha256:65381c09da413f18d2f989acac4f4c863ebca438714e659f8040ce6ab146e773

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.302002Z digest=sha256:1bb7574725fe8e7ccf9f11f5ab7b017a69b95c636c884c0ef3fa9090a2bba288

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.392884Z digest=sha256:89d7374c15ea0bbb2e7ae806e199964c6bf572afe509fa929d16c60534f07b14

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.436137Z digest=sha256:d94a87d178d49764ac27c3ef6374ecb3e886f98a69e4af1ce2d559f29623527b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T17:03:30.512446Z digest=sha256:215845d59ba9e4d43b86ef9e0fafe9a3e2c34a31fdfdd1ab5757b192ce84a660

Pith citing papers

No inbound Pith citation observations are available.