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Paper Citation Record · LEDGER

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2508.02381.

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

pith.paper-citation-record.v1
2508.02381 v2

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:01:16.450014Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f74d977-bd55-4adc-957f-e585457f5dc1 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:22.237573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.247195Z digest=sha256:810f7ecd3a1eb7828bc0fb8f66f9456ceb67dc2322130cf76b4da6972df6cb26

Observation b0c61715-c566-4bd6-bec0-7e842dd5819d · outbound

This paper cites Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.252691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.252691Z digest=sha256:8e7ce1a9fdcf18604ccbb437b858bb139d8f7765ed8a231827ba9d0fbd1b9309

Observation 93e7be23-1c25-402c-bba1-4e4bcb67ae78 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:22.046687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.257468Z digest=sha256:37fd949c62b167d2c2684d03320de3eb3d903b325d7c722bd4e68e93cb1729be

Observation 32d86223-3363-4b0a-904a-90eeee416ac3 · outbound

This paper cites The Llama 3 Herd of Models.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs The Llama 3 Herd of Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.262976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.262976Z digest=sha256:49f4e8549a9cb8e67fc94e47d0de0a75ef0cd3039986cea0be2e5cbec6d66eda

Observation d885cce9-3d41-45db-a366-19fd8dae7097 · outbound

This paper cites J.; Rodgers, P.; Kilpatrick, P.; Spence, I.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs J.; Rodgers, P.; Kilpatrick, P.; Spence, I

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:21.799271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.267888Z digest=sha256:f70be39dd9ccae028afbffc9d189543ead703afab5e4672954657c75d237c69d

Observation 7eabdb1f-4650-4e5a-8bb6-0437849ec4db · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:21.478968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.272352Z digest=sha256:affe470d44cbedeed0303600efe93772b4469ddb879c15093df5166b3ade3b01

Observation 34a040a3-96e6-4c36-bb20-240b16b37d8b · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:21.168166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.277465Z digest=sha256:cacb5eabac785383bc3183f9a168700d530615543b3dda81b27241d895c7ea31

Observation c66cbdd8-ecab-456e-a4b7-378d932f4f42 · outbound

This paper cites Edge-First Language Model Inference: Models, Metrics, and Tradeoffs.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Edge-First Language Model Inference: Models, Metrics, and Tradeoffs

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.281918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.281918Z digest=sha256:67a281963c1a27fb7caca013babfbe051b13492f8f220c047a0a340987f6c26f

Observation e6dcfd99-0053-497f-bc7e-0d81812d79c3 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:20.897697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.286651Z digest=sha256:90f78cc946167c62e3b5d4a63605cd16bc36a80f942a5518cf5c67250d0300c3

Observation 3285f44c-53a3-4c30-b8a4-2eaa88d36861 · outbound

This paper cites J.; Abdul - Mageed, M.; Lakshmanan, L.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs J.; Abdul - Mageed, M.; Lakshmanan, L

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:20.641663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.290988Z digest=sha256:fe171e5003e03292062150d1dc279dc2ab1b7f4806b2224d772b2b7e96e55793

Observation 8e484b19-b782-444d-af69-90807bee2b56 · outbound

This paper cites Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Evaluating the Impact of Compression Techniques on Task-Specific Performance of Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.295746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.295746Z digest=sha256:cb7d76101f2d2b0122309ac4e5e031caddcd3211f78186f77995c74805a20e1c

Observation 94a42e4a-1c62-4307-9abd-19e98f0e4bbb · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:20.430609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.301044Z digest=sha256:639cffc694e679d48d68f46082b9e91c58ce342028b2b78ba87877b41c2dfd8b

Observation 5893f5d4-eee8-4dbe-848b-7459b4868f6b · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:20.253921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.305534Z digest=sha256:169e9c5096bcd9ae2b4440c934db4ab0b068dd2f37f8111a6798fa8511e10ff6

Observation e9356965-a272-4f4e-9105-58a6b2748d91 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:20.046463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.309738Z digest=sha256:c8d63d263c365528094fe19de1d4313a61716564aa9f6bbaeed34db03412d5c5

Observation 27c7f9dd-bcdf-47fc-afe8-a2c8a43a05e1 · outbound

This paper cites RAP: Runtime Adaptive Pruning for LLM Inference.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs RAP: Runtime Adaptive Pruning for LLM Inference

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.313765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.313765Z digest=sha256:49f6db2440b33ca10080f05f00eb649b9b9232abf256b449aa447e053c74d69b

Observation 9413720b-797d-483a-833c-fd987fbd9e9f · outbound

This paper cites W.; and Yang, Y.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs W.; and Yang, Y

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:19.887788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.318495Z digest=sha256:fa9c349dc9d345dccd2bde925aec7cdd1dd0c0a8a9642310649cde7269d8791e

Observation 07f439c6-d3d6-46d3-a7c6-93c64df99330 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:19.736310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.322757Z digest=sha256:5e84563c783bd3e66505dc3228224978c9d8a5991aa53d3d55f267f6eacae170

Observation 85607d37-5730-465b-912b-95205e23ebb3 · outbound

This paper cites P.; Santorini, B.; and Marcinkiewicz, M.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs P.; Santorini, B.; and Marcinkiewicz, M

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:19.503643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.326937Z digest=sha256:ca5287b9ebb0d2b24e203ee84238009ce1888f77b9462e8fdd05668f4ccc003e

Observation a10b0b98-bbe3-4ef6-8f02-e5a9c0fe1b26 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:19.358118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.331100Z digest=sha256:5ebc806387865cb16b9e6629b6a54c17578c743691d8261889cb1ceb1cade88c

Observation 1b6c4212-dac2-4806-8a50-a746c6347958 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:19.161036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.335552Z digest=sha256:b98556353a46ad1e2032a3b9d487981770cb270159f768296d3f407496ac97b2

Observation d4ba2ac6-88b3-4b9a-8e5a-bcc7b868f888 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:18.961066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.339600Z digest=sha256:7d8630d36c4d70c5c16fcb084a511f171fb6f3145418dda2d372b9b797309087

Observation 48818d6b-c28e-4399-9a36-f6828ed2c5dd · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:18.782766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.343348Z digest=sha256:0954bfefa7845cc183362389a007edd71488cad3f51df214456d37c9a217e6b2

Observation ffb4c5ea-2ce5-469e-84be-10945d4c0017 · outbound

This paper cites Z.; DeVito, Z.; Raison, M.; Tejani, A.; Chilamkurthy, S.; Steiner, B.; Fang, L.; Bai, J.; and Chintala, S.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Z.; DeVito, Z.; Raison, M.; Tejani, A.; Chilamkurthy, S.; Steiner, B.; Fang, L.; Bai, J.; and Chintala, S

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:18.506998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.347282Z digest=sha256:40300d5324120885a32e799d1c2f0865b39ba93da5ab5863611a822ce7f68266

Observation 7ab6335e-3525-44f4-9e64-8554b2a3dcec · outbound

This paper cites L.; Bhagavatula, C.; and Choi, Y.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs L.; Bhagavatula, C.; and Choi, Y

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:18.312001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.351477Z digest=sha256:7b984be4e3e76aea4d36f9e9ec8132e104cb3b76c763db5665f26d98b23ecf92

Observation 18985b8b-a67f-4c83-ae3c-6d9aa72a7a61 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:18.046701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.355776Z digest=sha256:881cab1461f0bcdef3e54d1fdb889ca5817c1e718833b79a70454a665b671b79

Observation 8055cdb0-df3f-4a87-ae03-6572eeb700ef · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:17.828652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.359867Z digest=sha256:fab0be7903e04e65250ff17425f7950a4489effd6785fa25801a667a77fcf8cc

Observation 5fce630e-2b1e-4573-a473-f7a1b39f6c74 · outbound

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

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.364093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.364093Z digest=sha256:0e43bfe0fe445bde206f348a3fec3734c1596cfea1b9eaed164c1bd94d95ff71

Observation 564bf177-ca33-4628-a16c-6d35be08e170 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:17.606604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.369510Z digest=sha256:e5be31b38eb1d769d96372220959bbd228971242165b52edb6088dafe999b7a8

Observation 37deaa0b-987d-4bec-ac37-eb13f2854841 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:17.377642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.374196Z digest=sha256:52d93da770684bb420a41ea674752092b293e1ce225dbe89548b34bcdb92a335

Observation 398becea-fcd2-42c0-a70b-11eb127dd9af · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.380227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.380227Z digest=sha256:b4754691e3e07469279fc05e7856d1a83d5578da265ceeafe5850d275d30573c

Observation 8225fbd9-68d8-4568-8c9a-f214e55a2d26 · outbound

This paper cites K.; Pechenizkiy, M.; Liang, Y.; Bendersky, M.; Wang, Z.; and Liu, S.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs K.; Pechenizkiy, M.; Liang, Y.; Bendersky, M.; Wang, Z.; and Liu, S

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:01:17.202276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.386990Z digest=sha256:cdf4db64158230d7862f496335b3ad6723bc9b2ab434440987f0911fe2029135

Observation a70afdd4-f237-4652-bab7-6e7a1e47ce09 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:16.975236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.392708Z digest=sha256:a72a0da348344561908536a713a882f1285bef7c47db0c7693e7f98c678d4d54

Observation 6fef4010-0458-46f8-96b0-18265d020eee · outbound

This paper cites BlockPruner: Fine-grained Pruning for Large Language Models.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs BlockPruner: Fine-grained Pruning for Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T05:01:16.402118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:01:16.402118Z digest=sha256:4923aa0b7113d0143628c861970b07721bb34b743ebd61c70d39f0a910bdd797

Observation 21ad9091-d708-4c0d-b4c4-af5317af77e3 · outbound

This paper cites an unresolved cited work.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T05:01:16.791912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T05:01:16.420093Z digest=sha256:e22b2b126a18af195d5abfd60a2707b0d591ef7832d5cf6f9da7063438971b92

Observation 6bbb9ffa-fe73-472a-b5b0-2c6c9b6fee34 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs , " * write output.state after.block = add.period write newline

Reference 35

Resolution
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no resolver link, observed 2026-08-06T05:01:16.434668Z

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source=arxiv_source observed=2026-08-06T05:01:16.434668Z digest=sha256:0ebfc20df88366d459837108c92921102662d217b6efe2c3cfea55126146200f

Observation 48430fd5-ac2e-40a6-b17d-3466aef1428a · outbound

This paper cites write newline.

Beyond Manually Designed Pruning Policies with Second-Level Performance Prediction: A Pruning Framework for LLMs write newline

Reference 36

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no resolver link, observed 2026-08-06T05:01:16.450014Z

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source=arxiv_source observed=2026-08-06T05:01:16.450014Z digest=sha256:8a85265a2067a3e0586628ba6d599de297172f9ed3354564eb50043b75d7c63a

Pith citing papers

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