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Paper Citation Record · LEDGER

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions

As of 5 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 1 inbound Pith citation observation for arXiv:2605.07271.

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

pith.paper-citation-record.v1
2605.07271 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-11T02:23:52.589354Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T09:09:29.470093Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

61 of 61 outbound references displayed

  • verified exact15
  • verified fuzzy39
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59610408-a183-405d-a06c-268908c01d12 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions LLaMA: Open and Efficient Foundation Language Models

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T02:25:53.972945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:38f324a84040b373bc514c78e27d1f9dbf6a7e29f5c8d2deaded7fdd5a1eb82b

Observation 0a6cae00-ece6-4aa8-aa7d-ff73c40eb947 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T00:51:12.019329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:09d5d30495d60bf46338d7fdccc313974e8669c6794d4361e1d85c0027173cad

Observation 02bb3193-6a2a-4d84-962e-e2f66590ee02 · outbound

This paper cites Introducing Qwen1.5 , url =.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Introducing Qwen1.5 , url =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.226067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:f16fff77b0cde30b1d97403b2dac1277598718e43cd5bc92c8614b5d6e787fa1

Observation b6cbd1d5-8756-441a-b3a1-5b0ca0339d99 · outbound

This paper cites Qwen2 Technical Report.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Qwen2 Technical Report

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T02:25:53.951165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ee4c7cc2b34eead16d886b69cc1f0fee8c8cb4e457e800752bde52c0a4b6a744

Observation 0e0d8aac-717a-4b4f-a137-3ff4348e7b66 · outbound

This paper cites arXiv e-prints , pages=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions arXiv e-prints , pages=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.223300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:3d3d0082c9ee455e1ff68c28bb97aa4065adb64feba69e3210cf8ba0d7daa13c

Observation c5828b4a-a73f-49cd-a260-c7170f07b3d1 · outbound

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

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions International Conference on Machine Learning , pages=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.220725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:96f9f67fab16f253152c4937bb05bfb04b39378b93040484faa1392f424cda5b

Observation 822a7998-e10e-4e3f-9dfd-fb0916bc6ca6 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.228924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:60c5daa6ef9f612a5b1c91615a442273eb131db16a5d5dccf18fad903c3567a4

Observation 9be31181-09df-4900-9013-9578b61c696a · outbound

This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.231494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:d8c5c4e15da8ce9a90e152250f4341dde1683acfdc1878211aedf29013128e79

Observation ab04ab9d-9db9-4457-8463-66490e184ed0 · outbound

This paper cites Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics , year=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.233970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:1a8bf5d393ce15ec85bf7ccab9623aa3a7993fbadbca42c5b2c488f7ca95ca94

Observation fa33211f-61cf-4f9c-b8bd-bab3c08259f0 · outbound

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

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Advances in neural information processing systems , volume=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.267953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:43631b7340a4d4232ca6a1eb7268013cbcbb88c3a4bad655c30ae1bb2f5efbc2

Observation 77a9b48f-aff3-4848-b36e-fe74e4804261 · outbound

This paper cites ArXiv , year=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions ArXiv , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.215805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e8d30e9c5e58e8fef645ada7cb60b3f8db1711a178234b84d8ada59bc877df1f

Observation 0c0a9ab6-697e-47d3-b600-4810adc0051b · outbound

This paper cites Transferring Core Knowledge via Learngenes.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Transferring Core Knowledge via Learngenes

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.874452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:4d145abe10796a45996e2c22f668fc5387c120b921be8ede675b618eea976a3b

Observation 718bb4e0-e01e-4fb3-8b0c-145edf6eb844 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.213266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7e9d2d61187d817f98a89bfaddcfb3a72aef05751ab81eef0912a19c10027ddf

Observation 70b2bbda-f0b7-4b43-8931-a5ef7f1c76c0 · outbound

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

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Advances in Neural Information Processing Systems , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.203061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:13ea384591650dd6c1ec12c2732dd1a2a68e4d219bc490be7e795d80e68c8c5d

Observation 905251f9-f283-407a-bbee-67442aeb5cdf · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.210802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:6bc48cf13043849e8b81a26e8b7ba87872dff0a89dd9ca791a1d8353387207e9

Observation 2e74cca5-aa56-4434-96dd-3c79880d9aff · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.205717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:f3161e996e16c75fee049a27156dbd81374d0614d19743eeb77811b961a9ff48

Observation cddb2aaa-c23f-4a4c-ae77-8b645044def7 · outbound

This paper cites Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.878606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:f9ca6d82dff9fdbd9c99a89bd7b5546db7fe4fb183893bfda82c68d1bc923836

Observation 0af29fda-5911-40be-ae0f-fae5eba37e3c · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Forty-first International Conference on Machine Learning , year=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.197357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:fa1fde7221de34bdd5c5ee0c4a61af8a5fa05dfeea7b72033866a0bfc22230e9

Observation 774a92e2-2224-4c0e-b359-717d6054b5d7 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.262535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:415c1663a222c363ba8b1d35140cf8da5586a37d5c8e5d49307a5c3819dca692

Observation 69eda0c8-be37-44ab-9830-437a12e86647 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.185500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ab1863ef7f61c552be087f538efca06bd1314336595f5a03fe8fe493e8f0359f

Observation c9bceb21-b18f-43b8-a8b3-cea4d45a6b60 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.188445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:18ba5e9c8aa9c3a3254dd2f8e0c68ed827b5bade781617ee49d31819ad7acaa6

Observation ff7a3cbe-3349-43f5-b7b0-b827342fe977 · outbound

This paper cites NAACL , year =.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions NAACL , year =

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.218099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:38ec49be07b6c1b45b1097cfda2c52be0fb8908bd33a10485ba70ce78335e913

Observation 468c093a-1e6a-4e6d-b792-f954ff437577 · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the International Conference on Learning Representations (ICLR) , year=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.177261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:b9a39217abea2fa52543c5314d43605f17e9f32a196bfe150be2767da788bc40

Observation 463410bd-b8f9-45ae-886c-edb80518e2cc · outbound

This paper cites Proceedings of the International Conference on Learning Representations (ICLR) , year=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the International Conference on Learning Representations (ICLR) , year=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.180034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:01dbc21a831e8c91800f3482df2be94496501e03bf3b8beacf6dab398f86c5e7

Observation 97e7a456-96c2-4112-ac70-c7e0a549d820 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.239443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:09195151ae9957540d6709dda22b06bf07c45d143ce7c813c3efacdbdc772a5c

Observation 038d7afa-0ff8-4214-83fd-66a97b849786 · outbound

This paper cites SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.867897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:cf2b8d3f1727cb85488e73fa47e19daa6e5b6191fbd3d608e4981be761e6cee4

Observation c4ace4a4-b991-4d03-bee9-bcd547767642 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.171287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:a532eeea7b038071814325d478f34285b9379bcb78026af4bfe98fa2f8ac35c7

Observation ecbc8318-c164-4a59-83c3-9bed86af024d · outbound

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

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions International conference on machine learning , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.236933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:0dbeeb258299c704ac2b5a72dd5b9a717d455539a2a1d2b4a823d0fe442eb84e

Observation 465825ce-1fb3-4f7a-9342-603d6c1a9a99 · outbound

This paper cites 2020 , month =.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions 2020 , month =

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.168953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:9d226259c81e0a06e0287acdadbecbd8623b336127fe784aa7c257316c00709a

Observation d6792c96-ec4b-42a9-94b2-3d03e6383420 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Understanding intermediate layers using linear classifier probes

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.964387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:9ae49be222491892cc249f5af5ac62ae4256df1fe3ec45a74d71a893019b984e

Observation 6534c5bc-fdd7-4e0a-84e9-5b40cff9ebeb · outbound

This paper cites SliceGPT: Compress Large Language Models by Deleting Rows and Columns.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions SliceGPT: Compress Large Language Models by Deleting Rows and Columns

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.907045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:878b64dad708574ec18b9de8d9caf32f4b006f89410bd30f0692b7473d30e834

Observation f2ed4a13-39a3-4aff-82a5-6d97f554cb29 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T16:54:37.831311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:9ae4f06aa616f76a84a6bdfc0bba8414b89011f2cec4b52121bc4fdadf4c2d81

Observation 12f9c4ac-294f-4d93-958e-568762d02d90 · outbound

This paper cites Piqa: Reasoning about physical commonsense in natural language.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Piqa: Reasoning about physical commonsense in natural language

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.174094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:a399de8893ee1eb02b388a7eaa3608bb7d8362e31bc3b29b3eb2056c45b329e2

Observation 55d9ef68-ed59-4d75-b5d6-15477327b167 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.182595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:84497ee7960fafe8180639a3b664325b868eb6e91a535542def3079da5c31f27

Observation 1458d9a8-cd44-418c-a060-c42f4bf1bd3b · outbound

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

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-11T02:25:53.943069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:126b0de25b9c450510e1ef0ed0d7f59f2cd6f7e4ea8f2dd44a187ebe61bf1a11

Observation bb2ac955-8a55-4e54-b2f8-c2963cfea367 · outbound

This paper cites The llama 3 herd of models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions The llama 3 herd of models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.191460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:bd93acd95a10379a7aec8e268ff1f098ed40f48916e4593fed6092a72cb09897

Observation 968f2024-b415-4611-830c-e3e2d21054b6 · outbound

This paper cites The Unreasonable Ineffectiveness of the Deeper Layers.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions The Unreasonable Ineffectiveness of the Deeper Layers

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.883150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:9d4c4527c4f9876caee0c08e565803b27345db748a3910481a33cde85bfae502

Observation 8f7500e1-a1a3-4366-8751-53c24b2082fa · outbound

This paper cites Measuring massive multitask language understanding.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Measuring massive multitask language understanding

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.166086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:5aae795ef10bc5df06822fbcb15fb7d6c3d65994b6096cc4c960fce664e25557

Observation b33d7fdc-a3bd-40e2-b07e-6a460cfb4170 · outbound

This paper cites Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:25:53.935348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:5c6f6d9971b9022b38e4f9001e3456b841b28c1c45f8ddce8505970534ed5ca0

Observation d478326a-662b-4427-887e-a0ba3466530f · outbound

This paper cites Similarity of neural network representations revisited.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Similarity of neural network representations revisited

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.194620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:66f61701e1ec8fd6a7966fa19ca75dedb0bfa948bd5dcc4e560c7d555fed5698

Observation ceeedc3a-05fc-402a-9f07-6ae4dd9f59fa · outbound

This paper cites Losparse: Structured compression of large language models based on low-rank and sparse approximation.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Losparse: Structured compression of large language models based on low-rank and sparse approximation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.200092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7d10a5da534d4b0d3fcf7f0336f56f3ce965a72a2c202997a4affdde7848b47f

Observation 71d9ecb7-183a-4755-a2a8-94379ded99a0 · outbound

This paper cites Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Pruning via Merging: Compressing LLMs via Manifold Alignment Based Layer Merging

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.917085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:dca27f1baae17d35114dae1ddda6ece527706c7d473167cfb7aba60829e86407

Observation 3ef64dc9-874e-41c1-b117-7c60ddb58a8f · outbound

This paper cites Llm-pruner: On the structural pruning of large language models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Llm-pruner: On the structural pruning of large language models

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.208280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:755db7adf63a466d5bd22018c5d8a4d1e955e6927679ddda8f78c5d5f65bd4d3

Observation 7e74a74f-2795-471a-b5d1-c8168cde4b29 · outbound

This paper cites Shortgpt: Layers in large language models are more redundant than you expect.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Shortgpt: Layers in large language models are more redundant than you expect

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.257129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:02a630415d1daa4335c32f6451a15c30685d92f5a7285805915add17f8036c04

Observation 1c772ab4-cd58-4342-bd8c-85fdbe6d6c34 · outbound

This paper cites Interpreting GPT : the logit lens.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Interpreting GPT : the logit lens

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.259845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:76b8eaf61857874997ac36c67bb787e948ae707f749ed4627c3f42f1442f7662

Observation 355d1304-c193-457c-8e93-66661c16e8a9 · outbound

This paper cites In-context Learning and Induction Heads.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions In-context Learning and Induction Heads

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:49:09.911598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:070f9e79bd0bc79b7eb5e38cb934fdd8039cb0dfd2e787f333b7bfe46b557a06

Observation 9e5251f7-7293-4457-8ebb-6243b08d9e01 · outbound

This paper cites Ig-pruning: Input-guided block pruning for large language models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Ig-pruning: Input-guided block pruning for large language models

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.265232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:59a0116e6fe05a0a3fcced261211789e3182190d6b4843e0ee59fe56566c2944

Observation a0424c27-dc87-4495-82ec-005bf132a9ab · outbound

This paper cites Winogrande: An adversarial winograd schema challenge at scale.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Winogrande: An adversarial winograd schema challenge at scale

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.270937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ea0250fda947a192d3d02acdee29146bf15c230581e85818b28ced9ef360cd0f

Observation fad845ad-6cbc-4e0d-8df8-eb9dac8f138c · outbound

This paper cites Building variable-sized models via learngene pool.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Building variable-sized models via learngene pool

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.245266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:3a879968400001d7d7f894cb1a532be0d96afc1670f17432744ce652be21f75e

Observation e7360298-67c7-43b2-aef7-713751d18d83 · outbound

This paper cites Pocketllm: Ultimate compression of large language models via meta networks.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Pocketllm: Ultimate compression of large language models via meta networks

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.993134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:1eb7bbd55ffdaa7258ecf578be9aff8c7947c0f0055d6c136bb87bd20f8c6e9b

Observation 2a20fb1e-992c-4b67-9bb5-329ae55a146a · outbound

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

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-11T02:25:54.028402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:d2dc9e03c8f11540cf93e8468053d4115ed849b18a9625d6defaaca17a5bdb6e

Observation 5f7d1034-299e-4364-ae2b-d3141cb4fc98 · outbound

This paper cites Layer as puzzle pieces: Compressing large language models through layer concatenation.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Layer as puzzle pieces: Compressing large language models through layer concatenation

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.998554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:82b6f883e8e72fb37a1d14ebddf965f6d7707f87909eebe99c2cfcd233a3b475

Observation 37f9a21a-33ba-4239-a77b-d5fe116b7f40 · outbound

This paper cites Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:25:54.009849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:6c0e32185cf9ae89eda1f74873378c9d7470f8de7cb7a59acfef9d45b7fc3544

Observation 025da400-39b5-4e9e-82c7-4ae2c5606cb0 · outbound

This paper cites Vision transformers as probabilistic expansion from learngene.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Vision transformers as probabilistic expansion from learngene

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.248258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e0482761d5ad04c0a69f1b07c64a3dbfc094d377aced812f930aaf13f113d5b2

Observation 17eda7a2-8bd7-4e59-9bc1-245da698b486 · outbound

This paper cites Learngene: From open-world to your learning task.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Learngene: From open-world to your learning task

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.251066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:de95b980244aec076953385d03d280ce1e9205fb8312121870e0e049018e436b

Observation c0767106-8866-45f6-b258-8c63280bf697 · outbound

This paper cites LogitLens4LLMs: Extending Logit Lens Analysis to Modern Large Language Models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions LogitLens4LLMs: Extending Logit Lens Analysis to Modern Large Language Models

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:25:54.015721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e5f9473dd51f3770d48310d05de177f377e1ddc38f1c7b76bb5ee72d9ac0eb3f

Observation f309771b-00ed-44a4-a3fb-075ea6429484 · outbound

This paper cites Transformer as linear expansion of learngene.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Transformer as linear expansion of learngene

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.254099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:8eacbfe7a181e5c3e181f384c1b1096409cd59aa984209d0b4e3d5b5e73249b9

Observation e56c0a65-c2fc-4a0b-a057-3e088a35d075 · outbound

This paper cites Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T02:25:53.984279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:0aa8be28300de0742e0ca63e264843c32146d1e2a34d3e789aded67c48633b2f

Observation a53b7b72-6eed-4678-945e-40d5481d82dc · outbound

This paper cites Qwen3 Technical Report.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Qwen3 Technical Report

Reference 74

Resolution
verified exact
local_arxiv, observed 2026-05-11T02:25:54.019995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:1021bf0a647d3bd1a634a076bfc0551b68bc656454c2ba6dcc7f8c05a1ef77be

Observation aecded9e-0b97-46d9-ad7e-e40efc647e51 · outbound

This paper cites LaCo: Large Language Model Pruning via Layer Collapse.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions LaCo: Large Language Model Pruning via Layer Collapse

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-11T02:25:53.988810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:8080aa778936c42733e8e9b071d751a8d08dbc9949f2836d9dc5c3dc44bbac37

Observation 0791d082-19c6-492e-abe2-4ffa018d59f1 · outbound

This paper cites Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.

Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions Hellaswag: Can a machine really finish your sentence? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T12:55:22.242325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:bfca4b28aab95d87a04e12f86800dee688b96f8b16b42246a7e5bdbef2297d1c

Pith citing papers

Observation c6a3e49b-c22d-45c6-8fbf-fa11eef1c80c · inbound

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs cites this paper.

Weight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs Understanding Performance Collapse in Layer-Pruned Large Language Models via Decision Representation Transitions

Reference 48

Resolution
unresolved
no resolver link, observed 2026-07-14T09:09:29.470093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T09:09:29.470093Z digest=sha256:5db76c24ddca9162a12a8dffbf0c8db7296fe205b750cbfb76a886feb30a5189