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Paper Citation Record · LEDGER

Depth Gives a False Sense of Privacy: LLM Internal States Inversion

As of 14 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2507.16372.

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

pith.paper-citation-record.v1
2507.16372 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:18:13.422527Z

measured 72 of 72 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

72 of 72 outbound references displayed

  • verified exact4
  • verified fuzzy34
  • unresolved33
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea37b436-ff53-42d1-8993-37710875278d · outbound

This paper cites X fact checks elon musk after he blasts apple-openai partnership as ‘creepy’ privacy nightmare.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion X fact checks elon musk after he blasts apple-openai partnership as ‘creepy’ privacy nightmare

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.903942Z

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=pdf_text observed=2026-08-06T15:18:10.343021Z digest=sha256:7ec41a2114dacfbd6e5dc8cff8cfa45abc4f3ff4667b33417ff2058ddb2e6699

Observation 46b6bffa-4e34-4913-910e-15ca5dd25884 · outbound

This paper cites The Llama 3 Herd of Models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion The Llama 3 Herd of Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:10.414155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:10.414155Z digest=sha256:ec713d4cd9b0d35b6ff9135f20260156085d80704d3125295961385c1fba947e

Observation d01c5245-c947-403f-ac51-3e7da29c53fe · outbound

This paper cites SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion SplitLoRA: A Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:10.535416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:10.535416Z digest=sha256:d03ed8c5c6b39597a14f282b167b5e0480270a31e3ffbd6d5ef96e9bcacb4149

Observation c9aced09-2ceb-4d4a-bd43-d744fa837bbb · outbound

This paper cites Helix: Dis- tributed serving of large language models via max-flow on heterogeneous gpus.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Helix: Dis- tributed serving of large language models via max-flow on heterogeneous gpus

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.859918Z

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=pdf_text observed=2026-08-06T15:18:10.678742Z digest=sha256:688113bf7dfca9b6eb9fa4f7c2170147a8c041a76cd8c94330909342b3721e33

Observation e898c408-63b2-49da-88bb-a1d6336d847d · outbound

This paper cites EdgeShard: Efficient LLM Inference via Collaborative Edge Computing.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion EdgeShard: Efficient LLM Inference via Collaborative Edge Computing

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:10.798785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:10.798785Z digest=sha256:2974b404c66fe732ef667a02d3e31e8c881f6889403bd7f37e4eb7f786d274f3

Observation 3ba00045-3762-48fc-a70c-f63b3e7d0ec3 · outbound

This paper cites an unresolved cited work.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:18:16.817197Z

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=pdf_text observed=2026-08-06T15:18:10.924346Z digest=sha256:554d3ea8a2d89af0c76f6b2b6f6d6b2670db6314e82269cc84b6282e2d2b4390

Observation e311e620-8645-458c-9d3a-cc7b409fce0b · outbound

This paper cites The internal state of an LLM knows when it‘s lying.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion The internal state of an LLM knows when it‘s lying

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:11.059923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:11.059923Z digest=sha256:119120613589cbead44d7f642867a08e0d240ab55b9880d90950114b0a079a12

Observation ec32b3cd-25df-46be-95d8-56000bbd1bf8 · outbound

This paper cites INSIDE: LLMs’ internal states retain the power of hallucination detection.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion INSIDE: LLMs’ internal states retain the power of hallucination detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.786599Z

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=pdf_text observed=2026-08-06T15:18:11.192611Z digest=sha256:0715e7c2b552635d66c2694a4e465d3d29cabe78b3e9b9fdfa23061cae978345

Observation 57c272ee-b7cf-441f-a1da-c1da8f264b33 · outbound

This paper cites Unsupervised real-time hallucination detection based on the internal states of large language models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unsupervised real-time hallucination detection based on the internal states of large language models

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.740533Z

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=pdf_text observed=2026-08-06T15:18:11.336929Z digest=sha256:0a99bc3618305c9a9f95eac895f18f5f57cbf30c02b3baef16e5a1a43833fc34

Observation 5457c67f-15e2-47b0-b867-cd6dcd06eb3d · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:11.457417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:11.457417Z digest=sha256:97925cb88bf7fc691e1705eabb92dada6bff849ce2f216a9c297841393bfc23f

Observation 0430b251-0c01-405d-aa74-f5d5405903f4 · outbound

This paper cites Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:11.562851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:11.562851Z digest=sha256:ca46e25b8a0298ae3964e741fe3471bd7ceb01e5a3c772aafefe1daa62f06586

Observation 24787934-f6cc-4630-b1bd-907232ad4328 · outbound

This paper cites Safety Layers in Aligned Large Language Models: The Key to LLM Security.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:11.656139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:11.656139Z digest=sha256:d4d6db69ed597221677ffecc109d866d6faaa858311c2b369be19bab5f8fbbef

Observation 1c1b7f17-19c6-43d3-be0f-362314390db6 · outbound

This paper cites Analyzing and editing inner mechanisms of backdoored language 353 models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Analyzing and editing inner mechanisms of backdoored language 353 models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.713723Z

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=pdf_text observed=2026-08-06T15:18:11.725954Z digest=sha256:66ffd2716d412a8e5a597915b70820c55d4f6780137f8e76a5666d208066e9ca

Observation 56852d66-f954-4ae3-ae65-89b2409bf478 · outbound

This paper cites The philosopher’s stone: Trojaning plugins of large language models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion The philosopher’s stone: Trojaning plugins of large language models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.676773Z

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=pdf_text observed=2026-08-06T15:18:11.823317Z digest=sha256:b0fa6ae4feea0f44a1122184802fcd85af0e579e8f998d4910e4939a080fc50d

Observation 431b9a5c-b632-4067-80a3-e8f713e2a3ad · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Representation Engineering: A Top-Down Approach to AI Transparency

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:11.985626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:11.985626Z digest=sha256:c1a7836d8a002bbfa6806ba91c6d68b64c5ba007def86311a4fb2d1f6f196d9a

Observation f917fc5b-144f-4fdf-a89b-bc3bf07112c4 · outbound

This paper cites Discovering latent knowledge in language models without supervision.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Discovering latent knowledge in language models without supervision

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.637735Z

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=pdf_text observed=2026-08-06T15:18:12.087211Z digest=sha256:292a3962a2a75c2d99e8fabdb9d0448ce500b8de10ede307e00c35e424566310

Observation 954faefb-c6f3-4801-9887-964397d20c4f · outbound

This paper cites States Hidden in Hidden States: Implicit Discrete State Representations Emerge in LLMs' Hidden States.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion States Hidden in Hidden States: Implicit Discrete State Representations Emerge in LLMs' Hidden States

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.227492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.227492Z digest=sha256:562e774fa8fa05e2f38b695afdc7dc913067337245eaa6aa84555c30367e851b

Observation 2606ca8b-2a75-43e6-bc16-78a1cab6c900 · outbound

This paper cites Informa- tion leakage in embedding models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Informa- tion leakage in embedding models

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.607671Z

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=pdf_text observed=2026-08-06T15:18:12.365406Z digest=sha256:e2001531515fbf217d47888da5a84acfcac8eb49a92e327bde49b78fec3c6e33

Observation f728d9fe-11ec-4134-a263-0ee489819bd9 · outbound

This paper cites Text embeddings reveal (almost) as much as text.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Text embeddings reveal (almost) as much as text

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.577797Z

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=pdf_text observed=2026-08-06T15:18:12.529047Z digest=sha256:d88d1ddd187c7dec45c3f6cb060be6be6409e96b7f7f3c9b7c9d2d58a229776a

Observation fac6124f-54e7-4c72-b5ec-51fe7b44ad70 · outbound

This paper cites Morris, and Vitaly Shmatikov.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Morris, and Vitaly Shmatikov

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.551489Z

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=pdf_text observed=2026-08-06T15:18:12.743946Z digest=sha256:2418ee689e5449e4145ad3a4ad4bce1c52f427e3e90adc429b9aa20357a529f2

Observation 90da299d-d454-49ec-a478-e67960d1005f · outbound

This paper cites Deep learning and the information bottleneck principle.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Deep learning and the information bottleneck principle

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.851007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.851007Z digest=sha256:874a82c052eb9aac3ad40676d176a7508547eba9c7abb63e46ccf350cfd67e30

Observation e49b102c-b45c-4d1c-8011-22c7df26c3bd · outbound

This paper cites Privacy risks of general-purpose language models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Privacy risks of general-purpose language models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.888220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.888220Z digest=sha256:c7c1cbd77635fc47b3d5a492b043cd1f0774ec3879f16ca732101ca2143b09d5

Observation 967164c8-6488-436c-a749-dcaaa8905e19 · outbound

This paper cites Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.894923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.894923Z digest=sha256:68abca60d900b13aad4dfc7aa699fb05eff9f192e46f5ff68c6b1bb735fa6373

Observation 4791b59f-abac-47be-921e-bac97e85adb8 · outbound

This paper cites Language model inversion.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Language model inversion

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.518646Z

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=pdf_text observed=2026-08-06T15:18:12.903985Z digest=sha256:2f8614f34a697234303698591faec66289ad421bf9e002e7db8a16e7eb1b0970

Observation 6a7aff0e-4229-4d2d-8a50-8608a06617c8 · outbound

This paper cites TAG: gradient attack on transformer-based lan- guage models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion TAG: gradient attack on transformer-based lan- guage models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.460402Z

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=pdf_text observed=2026-08-06T15:18:12.909947Z digest=sha256:262d6b13261184e38b29a559d905604f2c5554341556585097ab16fd013c9a2a

Observation 44fede27-adfc-4a43-933e-232ea587f7b4 · outbound

This paper cites Uncovering gradient inversion risks in prac- tical language model training.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Uncovering gradient inversion risks in prac- tical language model training

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.424279Z

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=pdf_text observed=2026-08-06T15:18:12.927584Z digest=sha256:0de2ff7562297df8581010cb5a06d2bcb21dba6599861bcc31ceddf7d42259ab

Observation 01a82efd-e28b-4748-9121-3bdf592266ce · outbound

This paper cites Unveiling the vulnerability of private fine-tuning in split-based frameworks for large language models: A bidirectionally enhanced attack.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unveiling the vulnerability of private fine-tuning in split-based frameworks for large language models: A bidirectionally enhanced attack

Reference 27

Resolution
malformed identifier
no resolver link, observed 2026-08-06T15:18:12.945529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.945529Z digest=sha256:96faa86876b312cc6a2b4911b011468d3ea8232f3dccd1f7ea0bb89c7759275b

Observation 3347f4b6-adc8-46c2-8f9b-99334ca951b5 · outbound

This paper cites How alignment and jail- break work: Explain LLM safety through intermediate hidden states.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion How alignment and jail- break work: Explain LLM safety through intermediate hidden states

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.954668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.954668Z digest=sha256:a7d0bf17b5e1cf9ecfe3459e2c7182dcfeb562cb71e691bda3717ee0d18e2a71

Observation 9df434a8-eaa9-4b4c-80d8-2e3bb166f7a3 · outbound

This paper cites Enterprise privacy at openai - does ope- nai review my business data? https://openai.com/ enterprise-privacy/, 2024.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Enterprise privacy at openai - does ope- nai review my business data? https://openai.com/ enterprise-privacy/, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.386450Z

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=pdf_text observed=2026-08-06T15:18:12.965424Z digest=sha256:7221a512ff77b8d8e033f4e45789afd2f12bb6abf704a6d211fb4c0867959be7

Observation 3e31651f-662e-4707-a556-30b145009e71 · outbound

This paper cites Petals: Collaborative inference and fine-tuning of large mod- els.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Petals: Collaborative inference and fine-tuning of large mod- els

Reference 30

Resolution
verified exact
doi, observed 2026-08-06T15:18:13.566641Z

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=pdf_text observed=2026-08-06T15:18:12.977449Z digest=sha256:ec1a02244dc1a086f6896c3bb8aa35c6b3cf51b3b3c812d29d408596f9dd0577

Observation 61381ed4-455c-41cc-9e64-99f392de3e76 · outbound

This paper cites Shad- ownet: A secure and efficient on-device model inference system for convolutional neural networks.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Shad- ownet: A secure and efficient on-device model inference system for convolutional neural networks

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.985874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.985874Z digest=sha256:0ddb56825c3434541ea851c1e316cd9f7852ac216fa777f424950b396f56c6b8

Observation 0bfd5174-c108-4d3a-a493-d87c3ae3cec4 · outbound

This paper cites Zhang, C.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Zhang, C

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.357745Z

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=pdf_text observed=2026-08-06T15:18:13.004676Z digest=sha256:3d597251f353cd6965ef8324edc7801bcc6b9eee19085bd03ab86887f33f81f0

Observation 27b1e83a-2e18-46da-ac61-f9f4464f1362 · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Large Dual Encoders Are Generalizable Retrievers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.013704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.013704Z digest=sha256:5e0d639f360cbb750fc24001794cfde1aa1e88e9132bb722313c60001b183162

Observation 0cbbfb8c-93c5-4775-966a-a27af48d13aa · outbound

This paper cites an unresolved cited work.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:18:16.312554Z

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=pdf_text observed=2026-08-06T15:18:13.026104Z digest=sha256:bc668bf88013b3758f69d51b229ba212525853b4eed31e05747eed021b2bdfc2

Observation 7aa5887c-b8cb-484a-be61-7b79921b2e47 · outbound

This paper cites Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.046655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.046655Z digest=sha256:352f2cc5bf38a9f0977393b05c2356f6c5c9b0f3a3f6ad8f7b635bdc0d562f2e

Observation 376faf45-53e5-4be9-bd3a-dd3d5b8cc66c · outbound

This paper cites LLM internal states reveal hallucination risk faced with a query.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion LLM internal states reveal hallucination risk faced with a query

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.266871Z

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=pdf_text observed=2026-08-06T15:18:13.056980Z digest=sha256:6298b70f3307fe61b433e7afd9ad7aed086069aa89c58a8ba6cdbc6a707d4075

Observation d3a107a7-cf65-4209-9205-d1ce1f02b612 · outbound

This paper cites Get my drift? catching llm task drift with activation deltas.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Get my drift? catching llm task drift with activation deltas

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.221659Z

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=pdf_text observed=2026-08-06T15:18:13.087000Z digest=sha256:c7ca974b10fe0ccea1f4b2a6e6c59952ebdad2011267d165fb1f2f332d0c56f1

Observation b7868292-8313-4b23-85c2-4579f3d45038 · outbound

This paper cites an unresolved cited work.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:18:16.179572Z

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=pdf_text observed=2026-08-06T15:18:13.098550Z digest=sha256:0255d53414a7f3a1e0e922c4fa793b8d7462f3daeee554951048eddcfec54cda

Observation b6366e9f-6abb-43e2-8def-51aae006a329 · outbound

This paper cites Dataset condensation with distribution matching.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Dataset condensation with distribution matching

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.126402Z

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=pdf_text observed=2026-08-06T15:18:13.109794Z digest=sha256:c3fed95375583fd2944cd964c8009b69ab456a5746dc0dd02c6ae0e3d64a26c2

Observation 71e414fb-89eb-4d52-a710-b6ff434af4a9 · outbound

This paper cites Qwen2.5-Coder Technical Report.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Qwen2.5-Coder Technical Report

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.123343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.123343Z digest=sha256:9d2ce17122e7561ff0e299145201ac1d3fb620df26d80c0c6c114fe714d34fe4

Observation 2207f9f2-2a4d-4536-9dcb-a54c9af0e94b · outbound

This paper cites Bio-medical: A high- performance biomedical language model.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Bio-medical: A high- performance biomedical language model

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.074939Z

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=pdf_text observed=2026-08-06T15:18:13.134347Z digest=sha256:694e4b864c51ff910f4011b0efcb712d86b12d7b9d541c06262b3e1647718bf7

Observation b60ca049-91d1-4e14-81d1-0c7858af943c · outbound

This paper cites Introducing llama 3.1: Our most capable mod- els to date.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Introducing llama 3.1: Our most capable mod- els to date

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:16.036630Z

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=pdf_text observed=2026-08-06T15:18:13.153734Z digest=sha256:d6c2c8ae633ce4eacf6ba34da96fe7d433695bd7a7188f14d1b21a1d76213c04

Observation 9f4c58cf-41ad-4534-9156-3ef2e73dc072 · outbound

This paper cites C-pack: Packaged resources to advance general chinese embedding, 2023.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion C-pack: Packaged resources to advance general chinese embedding, 2023

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.165866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.165866Z digest=sha256:0102f40c9c81664a495d2275e9514f9f8f6591169b55ce184293c5196507ea58

Observation e0ecbe91-0bd4-4ae6-aa68-b2aa61e9a5f2 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion MTEB: Massive Text Embedding Benchmark

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.180242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.180242Z digest=sha256:4a05a2b32691e49f517dd4061c832b04ba94ab574bdb5ee744de8cbde937a84e

Observation eada05d3-ab42-4c59-ad2c-a69ad79ce667 · outbound

This paper cites Massive text em- bedding benchmark (mteb) leaderboard.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Massive text em- bedding benchmark (mteb) leaderboard

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.964164Z

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=pdf_text observed=2026-08-06T15:18:13.191714Z digest=sha256:c91d0133bee0ce9a2b373c4b494358738d4bb73c524718715bf651858fa950b2

Observation 4816f1d6-6ad5-4b26-9b07-41042e20fa1d · outbound

This paper cites Decoupled weight decay regularization.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Decoupled weight decay regularization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.205759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.205759Z digest=sha256:0096f43876aa44397ad5a1cbdd77fbb6396d645d1a7ad8a6b1017e75cf2c5602

Observation 82516d1b-3e31-4bd7-86b6-3684fb3c4b56 · outbound

This paper cites Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Oliphant, Matt Haberland, Tyler Reddy, David Cournapeau, Evgeni Burovski, Pearu Peterson, Warren Weckesser, Jonathan Bright, Stéfan J

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.218201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.218201Z digest=sha256:6f3795596a48c374b9d3d4287ccf83ae206c1bfac774f1e4ecca9c2cd525bff9

Observation a42e5683-dc8d-4084-b57c-9e4415b4f083 · outbound

This paper cites Ai medical dataset,.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Ai medical dataset,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.875387Z

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=pdf_text observed=2026-08-06T15:18:13.233897Z digest=sha256:14d829189efdb03767bbae646a95960062fbdd4004ce29ad21cc8990576d192d

Observation c47542ea-44fd-41ec-9265-3ccdcbb8a263 · outbound

This paper cites mental_health_counseling_conversations (revision 9015341), 2024.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion mental_health_counseling_conversations (revision 9015341), 2024

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.803098Z

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=pdf_text observed=2026-08-06T15:18:13.249833Z digest=sha256:5ef1cb1a82d769806ed2f4662efaaf37b0f06aafc6173843c918e563590983f4

Observation 77fb41d9-0453-4b03-bc44-3c9379c72421 · outbound

This paper cites Wizardcoder: Empowering code large language models with evol-instruct, 2023.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Wizardcoder: Empowering code large language models with evol-instruct, 2023

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.258810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.258810Z digest=sha256:45e5ebc4b315799d669d208b4128044e575b8cace4d89e2649a03673ab51e1c8

Observation 05b12bb2-8694-46b7-b70a-e7fcdf2df938 · outbound

This paper cites Measuring coding challenge competence with apps.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Measuring coding challenge competence with apps

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.499831Z

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=pdf_text observed=2026-08-06T15:18:13.267306Z digest=sha256:9c0676875282bb6f31cb83421e033dfabd7dc1607b4540ef510e17e1aa2db769

Observation 15d58311-d5bb-4fbf-ae28-2271bf6b054e · outbound

This paper cites an unresolved cited work.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:18:15.841795Z

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=pdf_text observed=2026-08-06T15:18:13.240176Z digest=sha256:92cd16ed824ec52cacd956b6720838ab7e2820c4d3771e7b7fe351e0f2ba0c08

Observation 42f018a3-bed0-423f-9fa7-008ef425bf5a · outbound

This paper cites The magical effect of the bias term: Rope + bias = better length extrapolation.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion The magical effect of the bias term: Rope + bias = better length extrapolation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.409207Z

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=pdf_text observed=2026-08-06T15:18:13.292275Z digest=sha256:06d74dd97af9a56d99ef1ad739b39637c4b7a394da17e360c6384d4d053ae514

Observation 9cb62f25-d901-4f70-82f7-2c4ad1693ed3 · outbound

This paper cites Rush, and Thomas Wolf.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Rush, and Thomas Wolf

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.370746Z

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=pdf_text observed=2026-08-06T15:18:13.301344Z digest=sha256:a7a61f7cfc6ed17bdb249e367528f474cebeccc53d740c7b6f0f4f4fa0131905

Observation 0d235904-3e23-4900-916b-6ccc4126d7c8 · outbound

This paper cites QLoRA: Efficient finetuning of quan- tized LLMs.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion QLoRA: Efficient finetuning of quan- tized LLMs

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.342891Z

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=pdf_text observed=2026-08-06T15:18:13.307945Z digest=sha256:286b4e385e4e5a49d96314feee76221ddc24c94d2e2f344f42597e5cb6bbd5c0

Observation 2362bd7d-6d5d-4af4-b7a7-33693d3efe68 · outbound

This paper cites Big code models leaderboard.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Big code models leaderboard

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.454181Z

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=pdf_text observed=2026-08-06T15:18:13.276386Z digest=sha256:3235a3b3924b71e9ca11e5a9836a80d108206b087ae9defe3216f422cd008f93

Observation 5a11c775-6f0f-49cf-9517-65e4f9e0adab · outbound

This paper cites Measuring massive multitask language understanding.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Measuring massive multitask language understanding

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.327844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.327844Z digest=sha256:7d4425d4937def837342018f2353152ef05a08a1769d55105b4b170a243f30ab

Observation ef28114c-8527-4a71-a472-214e6b95498e · outbound

This paper cites GAN you see me? enhanced data reconstruction attacks against split infer- ence.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion GAN you see me? enhanced data reconstruction attacks against split infer- ence

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.249652Z

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=pdf_text observed=2026-08-06T15:18:13.335767Z digest=sha256:83ea221c138a414a99d537703be5a40812878b2b6754c0eee64eb62629ece3a0

Observation 007ca4be-51d9-48a7-becc-81e3e4946c92 · outbound

This paper cites Unveiling the vulnerability of private fine-tuning in split-based frameworks for large language models: A bidirection- ally enhanced attack.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unveiling the vulnerability of private fine-tuning in split-based frameworks for large language models: A bidirection- ally enhanced attack

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.225632Z

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=pdf_text observed=2026-08-06T15:18:13.341093Z digest=sha256:e017f677813567012694099b09931ad08da46077a97971517bfa254f2999aeb7

Observation c398fff8-78c2-4120-b45d-481af1ae8102 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.320143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.320143Z digest=sha256:66b062afda9c985cff681b309b8506529e1ad0be003b565d4b7c5c406d0038ca

Observation 22172b8d-a74f-4943-8a7c-0061febce836 · outbound

This paper cites Input Reconstruction Attack against Vertical Federated Large Language Models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Input Reconstruction Attack against Vertical Federated Large Language Models

Reference 61

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:18:14.045437Z

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=pdf_text observed=2026-08-06T15:18:13.361777Z digest=sha256:403d4ce9b687d449c5bf0eb2caffc3a70afede8b9866fb63ff10b8dc28304c3f

Observation 78a86351-427b-4420-9dd1-00079048df00 · outbound

This paper cites A first look at efficient and secure on-device llm inference against kv leakage, 2024.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion A first look at efficient and secure on-device llm inference against kv leakage, 2024

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.178852Z

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=pdf_text observed=2026-08-06T15:18:13.368395Z digest=sha256:b3d347c97ad07f248b6060182ad9cb80ad7bc0015d9fedcf85880d0237b05155

Observation e19bcb69-35eb-481b-8a9f-fed084f44616 · outbound

This paper cites I know what you asked: Prompt leakage via kv-cache sharing in multi- tenant llm serving.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion I know what you asked: Prompt leakage via kv-cache sharing in multi- tenant llm serving

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.141589Z

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=pdf_text observed=2026-08-06T15:18:13.378531Z digest=sha256:f2fc15e699673197940137572064608f6569331f00f2caea349daf47fc48837f

Observation f31256db-70de-40af-bcb7-d7a64a86190e · outbound

This paper cites Learn what you want to unlearn: Unlearning inver- sion attacks against machine unlearning.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Learn what you want to unlearn: Unlearning inver- sion attacks against machine unlearning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.351062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.351062Z digest=sha256:46d5c765b1e872f7f2249479cd43e56835190f0a3e09b0bb292317d9c66a8e61

Observation 75819577-18b7-4a2a-ae80-c09aebbe2827 · outbound

This paper cites Prompt Inference Attack on Distributed Large Language Model Inference Frameworks.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Prompt Inference Attack on Distributed Large Language Model Inference Frameworks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:13.401749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:13.401749Z digest=sha256:29730674fbeb288b59d7440a15ef843d4d2c3145c69b8c9889be9fc2760a6bff

Observation cae81fb2-160f-4f15-93bd-aceba23fc9ca · outbound

This paper cites Strengthening vm isolation with in- tegrity protection and more.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Strengthening vm isolation with in- tegrity protection and more

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.105085Z

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=pdf_text observed=2026-08-06T15:18:13.408595Z digest=sha256:ea2a0f306f8c3bff2eadea100b65fbe1b37daa437401129be527d55cbc3d4e60

Observation 82d06373-da11-488c-84d9-31bccb24cc2d · outbound

This paper cites Confidential Compute on NVIDIA Hopper H100.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Confidential Compute on NVIDIA Hopper H100

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:15.049885Z

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=pdf_text observed=2026-08-06T15:18:13.417202Z digest=sha256:1aa8bb241bedff8eca7610063c863b4b2f99f9952614c8c0e8fd5677b1883877

Observation d9b29448-37b0-4d41-91c4-f6961f66f055 · outbound

This paper cites Prompt Inversion Attack against Collaborative Inference of Large Language Models.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Prompt Inversion Attack against Collaborative Inference of Large Language Models

Reference 68

Resolution
verified exact
raw_fallback, observed 2026-08-06T15:18:13.992964Z

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=pdf_text observed=2026-08-06T15:18:13.391146Z digest=sha256:0d1b1cd68c91cc31c66fed0761b78906aaeaf510112e8795795b514d214cf952

Observation 805db670-a3e7-4673-afc7-824a63ae0361 · outbound

This paper cites Contrasting Adversarial Perturbations: The Space of Harmless Perturbations.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Contrasting Adversarial Perturbations: The Space of Harmless Perturbations

Reference 72

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:18:13.740633Z

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=pdf_text observed=2026-08-06T15:18:13.422527Z digest=sha256:1879538d1704875e5e34b92587daf4897aa1ce217c1b5605142b94076b7ca8ae

Observation 3631b4a7-ef11-4577-a1a9-c930e95ac110 · outbound

This paper cites an unresolved cited work.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion Unresolved cited work

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.916947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.916947Z digest=sha256:d165fd4848f29ff5344ad433853ac573c3bdba1bb38966ca61c3c9d280b5dad4

Observation db8f0af6-b897-4bb5-90cf-b9ce095dec5d · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.765.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion doi: 10.18653/v1/2023.emnlp-main.765

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:12.624266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:12.624266Z digest=sha256:544b60a953a96fcf8d1c72658df9d5f47ff7e252c314b421fa9672b21fdf6820

Observation a4f1c573-a3f2-408f-a771-7b4d1639a46e · outbound

This paper cites doi: 10.18653/v1/2024.blackboxnlp-1.6.

Depth Gives a False Sense of Privacy: LLM Internal States Inversion doi: 10.18653/v1/2024.blackboxnlp-1.6

Reference 2024

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