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Paper Citation Record · LEDGER

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

As of 12 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=sha256:2c8f869a2795a1d3bf0269bdfd1cd03c1b7febb214ad5b29d616a1c0b46509ba

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=sha256:7407724d60d16599a71b277f1a265343882f36a4e0406a0afdcdeb91903b9d07

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:ff3db55e27d71af3d7db0353fe812713eadb5aeaa034b603ae3d057565a23374

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=sha256:4c7b41cb862310e9594e1cdd0c43340ea7d06a249e6d85d6ae0bb6f51ffccc36

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=sha256:145ad63f20ac17b05485174bdafa4486772ed3f2c76835f7f27bf91ad1aa014c

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=sha256:13439edc785d5142332bf0b45b73f257bee424e880304632ee5c6cb7f20fe814

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=sha256:7f8c2639a5aee3e8026a575f6aeb86027b2374f883b7bffff22b97ac3c4242c3

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=sha256:73aa679bc5d19bc1d0c24e5c3039fd6e746970b0dda1f0b126b5e08f604b95ab

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=sha256:6901952f807a425dc33609be8a42031cd01c24773115369bb579ce9c233fc446

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:f221fc2bc6e27c82ebcf83fc46e03d6740987f0d21f1b629d281cb10e1b9125d

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=sha256:9735c4b50354a013f74b847e731a71951bc42b85dac8e44d73ebe9f9b539905b

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=sha256:9dd3ab51f85b1ef99419cb7aa330982af49b83178d3dbd41b2eb4bd7488c959e

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=sha256:5e9cd3bfd7ee498196954d187395fc73bea0f908a6c0bff26f3423dd82fcbfd8

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:e410a3ce22ed4fc814320b1272c6e56740675dd82fbb13751fbb14025fb1fe6e

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:ba4884c8f5653a738684876b0d227f8b02ec1c44b480279b92ca86da1983b90c

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=sha256:55c5d036ede1b793e11d2703f2df1d79fb8f6697ca21a0dce25ece1ea4090c6b

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:ae078ef40c9757b2e03bc6950a26cfe35fce946abceacbe824764cdddc1d4a82

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:fd9be7c43638c23056cb26c32f634f0014d12bb90f4b0c0261b2c329ad034280

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:a3f4d4c1fc6c4f80cf7fdf8f39bbb6f61202edf45bd60ad0d8e3f1978a4a8e25

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:b1110ac430e56248a3cae6f66abbb25420cc22723e1a70e5f6ac59d83c329bf5

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=sha256:02436129233d65454ffa754f7c9bb07543dc4618fed458f5513be1ea858f4c9c

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:b1e8b500eebd79afa8cae8845cb87470a88ea2a992588e554096702c4959ba6b

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=sha256:58e8ee838ae9f968046a343379a80056ae2e768ae2d7aa5348cee9dd144d3381

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:e8f0ab874506dce412ec0b26e2b9f32670325655c8014dfefb75b67e4411bc14

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=sha256:4ef363658663c3d1df1b18445b87da44a2a98280e917e2819b68a0d8d238d2b3