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Paper Citation Record · LEDGER

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory

As of 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 1 inbound Pith citation observation for arXiv:2501.05965.

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

pith.paper-citation-record.v1
2501.05965 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:11:17.774876Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:58:41.487600Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

24 of 24 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch1

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation c1051c1f-8abe-4bef-a25f-fbc83d6d08ff · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-10T21:11:18.645502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.598054Z digest=sha256:c61ddb3eaf27fbc062ecec1f2c2c44af278e9486a8b24fe71fd8cd4b3e8e4598

Observation fc7f5067-bd15-436e-8d6d-99a82f993fc5 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:11:18.769273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.609113Z digest=sha256:0991199f64a68b5a6c33fdd7da1f145fd564c6abd3b7042fa444001568ca0b99

Observation 57033f08-7b1e-4586-8cef-8e9a154bced9 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 3

Resolution
malformed identifier
no resolver link, observed 2026-08-10T21:11:17.616348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.616348Z digest=sha256:d2036ea29eda11fde85c66a4f7eb435ff1191c5eb694fbec787d424bf6f8be31

Observation 97a1b360-b7d2-4f0b-9f7a-fd6a68b4a7d9 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 4

Resolution
malformed identifier
no resolver link, observed 2026-08-10T21:11:17.625150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.625150Z digest=sha256:dca498d857e4f549ddf51b3d55de796c42100815246fecf0daa38b2946502954

Observation 974991bd-b6d4-4bbc-976e-5ad7f9368f05 · outbound

This paper cites Ercüment Çiçek.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Ercüment Çiçek

Reference 5

Resolution
metadata mismatch
raw_fallback, observed 2026-08-10T21:11:18.438151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.632715Z digest=sha256:792f8fbe6295d277874a4e9686dc73ecc8374366e0c75b5be2f0b7cbaae6be2b

Observation cbce4fc8-d749-474d-a20d-c3a7b5c852bc · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:11:18.740939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.638817Z digest=sha256:9cac0fea1c86cb44acecb121d5cc5da147927480bdaeda186e83be1532b555de

Observation e5d6bc28-59ec-463b-b05e-da7c87c3ed14 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:11:18.722379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.646115Z digest=sha256:bcc503f007b23f00424fabafd2d85ed146a98c3470c78d1f39ef474398555750

Observation 037f73b2-211d-41ce-801c-ca807cb32509 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.654680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.654680Z digest=sha256:5a1a2282f23a642ff6dfc279ed4cf04900c451f21098c5f5cc7374d1ee3e5904

Observation 1074896a-6c80-4354-b6aa-5f811fce6318 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.667396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.667396Z digest=sha256:5c28b074b6121069b279f669960925017dbd94a87e0976c68c0139416de87262

Observation f878fca8-de25-4ea8-a430-c5721a99792b · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.672957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.672957Z digest=sha256:0f0ba8274b2b80d621814e4d59b96b2ec6f6d6a83afe48a6eec33c251faa8582

Observation 2420524b-ff22-4967-af43-aedef3215485 · outbound

This paper cites Language Model Inversion.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Language Model Inversion

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.678772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.678772Z digest=sha256:be80cbd5d918fb843c7f36a399fb772e0748abe24b7b583a6cacbad22349a942

Observation a91e1b1b-a096-47f0-9719-0eeabe37bae0 · outbound

This paper cites GPT-4 Technical Report.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory GPT-4 Technical Report

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.686009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.686009Z digest=sha256:099113753808a69512a26f847cc2a15147046fc89d4d86859d423d8c3d64701c

Observation 129409ec-9ee4-44c6-9363-37c136f1d420 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 13

Resolution
malformed identifier
no resolver link, observed 2026-08-10T21:11:17.693839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.693839Z digest=sha256:7e641daac46f63995dfde88697a831f48a499f5e8605179a1dee91deb136bc13

Observation 362e5c74-bc2b-4782-be17-a9814adab996 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.700244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.700244Z digest=sha256:1493748d5a947b2a3cf486b0181d0b4e2f44b751aca535ce5e4000da7f302b8b

Observation 1ab8734b-1e9a-4a17-a76a-79f952f7d40a · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.707340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.707340Z digest=sha256:7ba1fdc6319a744309b92502f24defe811758ce76c3fea128b1aa38851622e89

Observation e9a6c9db-ee3f-4110-979d-0a2e7c71f8fe · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:11:18.680924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.714475Z digest=sha256:320709e696695a42b5e7426fa8d74d994b049807434e751b8933fe0038b72ae3

Observation aefbbf28-9c15-4742-abc7-7b2d809971b3 · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Opening the Black Box of Deep Neural Networks via Information

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.720637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.720637Z digest=sha256:f32a88cf2f49f348b43ee856b89791c2906a8bdf97c3b2fbfcafe18c299a45fc

Observation eb95e50a-0807-4aaa-b7c4-23a8af8ba2a2 · outbound

This paper cites ROUGE-K: Do Your Summaries Have Keywords?.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory ROUGE-K: Do Your Summaries Have Keywords?

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:11:17.927381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T21:11:17.726458Z digest=sha256:38a35250ef0d50ea0db6d18722d9386aa3d16a65da9a27020815bf0c5c2b0159

Observation cc6c74cc-4ef2-4c56-acbd-ede5ad8cf306 · outbound

This paper cites Practical Defences Against Model Inversion Attacks for Split Neural Networks.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Practical Defences Against Model Inversion Attacks for Split Neural Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.740602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.740602Z digest=sha256:6d3d9e81b4510ae28007166a5ea5c7a1b4f66740c1329210a8655555f98b42c0

Observation 385194ee-86bb-4c01-9c60-19d12264e424 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.747796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.747796Z digest=sha256:b1298ff9de1716023a7c543345f1bcfb5aa0f304c1819c7a1c9844a70244e6d7

Observation 45f79098-181a-48cc-8f2f-d0f086a81295 · outbound

This paper cites A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.755804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.755804Z digest=sha256:acfaf5389d02fec696825389ef89bee63cecbebf3eb9ceeb81936ce125bd7dbf

Observation 9114a299-6d71-4f5c-a1b5-8b63670f4f89 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.763363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.763363Z digest=sha256:d648a3559b10054c4020d99fad7660cec37c16cd38f0be0a60c9661a61bc55cf

Observation b07b7075-e0f2-4485-97d2-b91d67bbe3d0 · outbound

This paper cites an unresolved cited work.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.769103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.769103Z digest=sha256:79cbe3b3598e7e6d09f1d627cf669f5d8c5507e6a36d7b4299ac5ed73b2f5cda

Observation de387342-7ff0-4daf-9b69-bdd177b20bbc · outbound

This paper cites In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory In 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-10T21:11:17.774876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:11:17.774876Z digest=sha256:b2c05ffdcc8aa8997367f8bcc219d3f13b77c1d568fb1b549539ac4118441878

Pith citing papers

Observation fabb3b1b-bee7-4f7d-86c0-2304026f1d41 · inbound

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey cites this paper.

Deep Learning Model Inversion Attacks and Defenses: A Comprehensive Survey Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory

Reference 117

Resolution
verified exact
local_arxiv, observed 2026-08-09T21:58:43.342021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-09T21:58:41.487600Z digest=sha256:71c536dc98c6f570d845b6901ee113dc8e2c43ccf5637b277c1e4599d25bef79