Pith. sign in

Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:29108b2b51798f0f4b0bdafea97168bec31ab6bf2bc7c086dfad0bb1c853ffc1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7ec272e88b277d71a3baa43e3720ee4e5b4e9f24dd64c40bcac000f5191f702b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:34f4a2128ff302fc3ee5acfb966f35b7c962623f02430aa423cd30685e827a50

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:fc082de90fc4d5a12f84362e5fbee1866b17b4d803b590a21f3285607d089071

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:b14236964bac6994e7daf9470d4097b59c87016a2e252fd8d8a6bce356117d83

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:a43fa771f4387d132c4b1338e1bc749641b3a5f94a3759ef056674c1e58e65e1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:4aaf2a527c6ed0f126a66ddd87b89191d350c653cc71a96b753961ba34f06666

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:f65d94725dac3edcb8376d4c5677a840467ff998db3e383d58a496d7978791a6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ca648982644cef8200b924ea09d6ef276fa357f1a736bdc240396107054c34bf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:d4fa2db909a9efcea399b3ea05f07c8e4c2faf300aac9edce240cc8fca667613

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e46950cae40e15a4a157efe5a48c7dd943e06ab3e98bd76ce43f81b04198a2b9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e0aed2ecb937a0d4e15e4b7caad19056d932154a27acf56612f596ff2881bfb5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:2fcef000685c2633b073c2420182914e14b4cd0c3faf0efdbdf4655f063212f3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:c5ad8fb49deb41678635ba03079078c25ac628018825d23da114b9e55b953dda

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:239242c53ad13c50b2ec6e85e83947e7c3b73218ecbe369e7d41d46aa8db8134

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e9d46acbb615c595bbce7fc5001645dffeb819fe8c957a625563adb765751dfa

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7733c1b6f61e70049a872ec6b2d63a95ef7c5d98b33dbf084a7af80074465d49

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:74f2392bb9af6e32af697c5fe1e677ce7d78c5a4c9918b80dec337980f240c00

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:d210dc6bf557f9ff97bebda3b3196636b465928db2595c6b6bbcfeb3f70cff27

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:6d6e81f9075f1c0ad1ee6046a9b20d362ceab0f680ff052ea4c04e470e540b72

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:00aebb12676c3fd77c4d15ddfb1d40f0eb9d1bcc25ba411c47a72256b22d5495

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:bfd26bdb606de01ffdd6cf585e33aaf0bb504c72601d08b28fa1b69a8ed7f2a8

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ac640e78584302206b3e45f33f31f43a6667370457b0c08bb0309d76c2b0af24

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:2e039498ab590e25a6a1a78ddf603f9b08110de7af54d1504b4ae843cefa296b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:d92017e910eb78e14b76b7f2146e41b01333b83c1577c5c5915605b790814317

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7bc16dc86c7bbf71471caa438dac226c86c34f6fc9d2dd3814e2709bfbc5b8dd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7cf044161e1650b983e1442cc48501a49dc9a59c79e12a128f75988173f55800

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ce12ac5c9d94c1541a1362f1054370d768bf44385e90c08dadc44727290c9d1e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:bf222afac6fa701cad9962eab507534ab2d59fd42e19e87727ff6ad66d232cab

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:f70c0aff7bd51fedf4b278c9e6d8af8326e8df48d7cb6ae7c6a1a5aec3dca015

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:14163ef9c15f4b8bdc4e3713d0982ea32d66d02c9c39b53425ad8069d3d71de6

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e2c91103b592e6ad0f518301ca38cc43120a1037520fdd2370e0f9d4a74694b4

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:03b6ece5ed98ae45f175488688fd2309ad101afcbb4e8444c2be346e53893b9d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:1062e4682c35cf88536de4eab996630592726fe4da6fcc997d45804063559d94

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:28ef3f6ab45f06449c902925eddb02c833c24103e0c1e9a838da15099742ea72

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:5cc590bfa0326786d77777916907902751be6361bf9199abf83d88bab0c83a6c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:bc7a7501068069d574aa001bc14d54ef6159818a440d69dadf2914726261bcfb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:a4f1e2bb92dc074ad3d51c5c25c42541d50c1d0b0eae060c82fefd651e674e35

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:94ba32754c3e3a188a2650ea21cee09a8901907a0f342b44fed3aa3a6883503d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:33c88efdf9202773bfaa86584e8371bfd34b8970c60faeaa9fd19ba345e4a2cb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:af9fecdfddc99cfa819910b5fd4433746b73f8e7db1e6a475d301f1f33294b1b

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:e64739e33e6538ddd8d69c31cdd0c9571369e7c085b86c0fd8e737b1c412cc19

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:19f25e064ffdede2c2ab9c113a353a80314f6d1675c5ecaa06eece02321c8b4c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:033eb9bddfe3181a819a6173cbf2dc11eb1fe5b7e63fecbb3298bb211229e83d

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:23682c568a6f1667dd6a9b92b25cf921f52377a56f9a0bb839a95619617b8a5f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:945d0eee96057098a55aeb3440fc52e84ed480403159549da24c1e91f6fc407c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:165fd7fa9a6e1d72f978db353a5cc1ff92ed354638bc75a941685195e8743b8f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:b9b8a5bf787da22843cb610812c007b38159b7bfdee0d738da910aed6ada911c

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:b0399eb42cf44b5943e6d83aec8687c0a5ea5be33d05a18159cc661e46462079

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:87511da2cd868bc4e68735941fadc1826f88f7b1711911fac123cfe5b30913fb

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:c2693fcac3023799272cbf98f799358201f6026b7de62224a5733aa2e8dbc319

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:8a1d74c99f6ce841ecb4acba7216e520517b9151a3d047779ab62fffa053c6c3

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:81c9026ca1c034dc23b80a3926a86e8f6188283ab376385d4e4e7697932ddf96

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:ebbfb4ece44e3974f8793a713383b21ec554b7a1139a9f61e6c75a8073a7b9b5

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:2016ea870628be843ba0302db22ff7e10226c726e09a6c04979a5577b50d5d5f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:7d5c7377eaef81c6b2630370283c7e440d5258f369bc40518a8b9c8b3b4e603e

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:28a05523220427eb84f8cb314a933a3724ec6d1bd6e70704439682bca8d1bde9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:9c59f4098731400abb560901c554831de83525d342109a866637c5313cac88cf

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:989d5b05923dbece863860690b793ffa92c56fbdec3aebf0d5805640e85fd204

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:c9ec54171983f8c05eec4468edfc471b13c39602fcad56c753a805bf26d8f5a2

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T02:23:52.589354Z digest=sha256:9a306ab8abd918189892b66033c66fc01d613f9f258b8f24a47995664af392b5

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=sha256:1516e7f053eb919f19d072a460be9c57a8f36d4a055a61498b10edbcef05fe94