Pith. sign in

Paper Citation Record · LEDGER

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation

As of 15 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.00973.

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

pith.paper-citation-record.v1
2509.00973 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:07:11.652209Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed9ac893-2661-4f44-9966-5792fe3ac15c · outbound

This paper cites Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domain

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:10.349429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:10.349429Z digest=sha256:3998f438c60bc02a0ccd6c811f78d4444d89bd6a001132128e29475e70027144

Observation bba18956-fd6a-460c-a974-1ef23a2bb6a7 · outbound

This paper cites Leveraging large language models for integrated satellite-aerial-terrestrial networks: recent advances and future directions,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Leveraging large language models for integrated satellite-aerial-terrestrial networks: recent advances and future directions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:14.110219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.393354Z digest=sha256:6ca91804bae555e8dfc9b50d8c6eb884ad4a35834e042538eb58792d495895ac

Observation 360cd618-54d5-49f1-a5e7-721c4d37b479 · outbound

This paper cites Fine-Tuned Language Models as Space Systems Controllers.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Fine-Tuned Language Models as Space Systems Controllers

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:10.477254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:10.477254Z digest=sha256:8cb0e2aa888a2bfdc6769e16e666d9845f17b688ad11d323c6b098569478c8ca

Observation 1b44b653-a3c7-4b7e-b31a-e3ca3dee67a0 · outbound

This paper cites Milchat: Introducing chain of thought reasoning and grpo to a multimodal small language model for remote sensing,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Milchat: Introducing chain of thought reasoning and grpo to a multimodal small language model for remote sensing,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:10.539648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:10.539648Z digest=sha256:377fcd42f50ed2cb5a6718cef156a1a18daa971e3ccf77118321a8065c3c26e1

Observation 837f4ad3-77c1-4055-9cd6-dc65d64b0aba · outbound

This paper cites Pllm- cs: Pre-trained large language model (llm) for cyber threat detection in satellite networks,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Pllm- cs: Pre-trained large language model (llm) for cyber threat detection in satellite networks,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:13.934074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.601552Z digest=sha256:6bc2edbcb110f8099329ca4102eab00c5d06e19eaef78c746d346813c592d940

Observation 742ca975-02a7-4f03-ab9d-b1c19c4b4c78 · outbound

This paper cites Stealing part of a production language model,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Stealing part of a production language model,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:13.704683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.663729Z digest=sha256:ab791a50dfa0768cf1d6640905a57a0cece802974f5c1fccb9ee6e05f1943310

Observation a3f02d56-85b5-411b-a39c-1b1155b5979f · outbound

This paper cites Teach llms to phish: Stealing private information from language mod- els,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Teach llms to phish: Stealing private information from language mod- els,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:13.576129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.692289Z digest=sha256:3290634bae593b1be80fa230759cf547d70e2f786c797956f74c3793f3aaa777

Observation 384aabe0-4484-491b-b339-ad00f4a0eb43 · outbound

This paper cites Model Stealing for Any Low-Rank Language Model.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Model Stealing for Any Low-Rank Language Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:10.757582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:10.757582Z digest=sha256:913d01ea4cd65e188b3df45e7ecb8e9e68f826b20fb37652d580b704d3879ee1

Observation c0ee1942-8ddf-4c72-8f5a-3b996dae19f3 · outbound

This paper cites I know what you trained last summer: A survey on stealing machine learning models and defences,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation I know what you trained last summer: A survey on stealing machine learning models and defences,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:13.384999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.820299Z digest=sha256:aaab03f94f3f1e32fb1d882942906066f00f0d469d60b00b3bdc367f29893874

Observation e65321c9-69f1-432f-9500-e6c6cbf9822a · outbound

This paper cites Privacy backdoors: stealing data with corrupted pretrained models,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Privacy backdoors: stealing data with corrupted pretrained models,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:13.227323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.873576Z digest=sha256:fd8961fe97c456abea42985e01a7860549c48b2d36616ea190249169c093287c

Observation 19c1a9b9-b1d0-4069-b048-6c2ca16b70bc · outbound

This paper cites Can’t steal? cont-steal! contrastive stealing attacks against image encoders,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Can’t steal? cont-steal! contrastive stealing attacks against image encoders,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:13.089314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.908447Z digest=sha256:73c8edbd5dc9f7a833bd4b0b9e6a32a3ef5face030d1d63e03f560894045e85b

Observation 4375ffac-c6ec-46aa-8e18-48c53d30c22b · outbound

This paper cites Large language models for link stealing attacks against graph neural networks,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Large language models for link stealing attacks against graph neural networks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.981756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:10.961820Z digest=sha256:e142e0b1aea9e25eeab034d408b7e50976868c6e432bb742389309e11de1d5e7

Observation c26d160b-1159-4e10-82c8-e2863e8bdd32 · outbound

This paper cites Forensic analysis of indirect prompt injection attacks on llm agents,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Forensic analysis of indirect prompt injection attacks on llm agents,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.886017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.025594Z digest=sha256:ea39e9d61f346d900ddbd381f6d6e3c569cc9f70add51cba5cd74463afcf5233

Observation b1ca3fc5-ae11-4d66-9915-0d7210cf403a · outbound

This paper cites Llm-sentry: A model-agnostic human-in-the-loop framework for securing large language models,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Llm-sentry: A model-agnostic human-in-the-loop framework for securing large language models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.791201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.113475Z digest=sha256:dc9142cbb7c3f616da47b548f5d6e158a57796077d9c7a3334ae8a3c11a24c5a

Observation ac480b85-72b1-44da-9fa0-da38193ba19d · outbound

This paper cites Data stealing attacks against large language models via backdooring,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Data stealing attacks against large language models via backdooring,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.699241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.163435Z digest=sha256:ed1070e97430eb21f382c297bbb446b945a9d05ee8483871ca6eb036023c8fe4

Observation 11be3464-c764-458e-aa99-a246e1ae73da · outbound

This paper cites Efficient llm jailbreak via adaptive dense-to-sparse constrained optimization,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Efficient llm jailbreak via adaptive dense-to-sparse constrained optimization,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.601125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.258365Z digest=sha256:de777f3270675651ae084ad135c428d20b1b3b77abbf5b1a10facb4b07c9e884

Observation e0f1fab5-0a0c-4458-ad74-375c31f3b84b · outbound

This paper cites Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Multi-Turn Context Jailbreak Attack on Large Language Models From First Principles

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:11.356493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:11.356493Z digest=sha256:fa80f7a07be896a3f496a84a15dcb1ac9101d1d9af7c0c942cac6533af4dcbca

Observation eb265e30-d24b-4fc2-9a06-d68ceda36942 · outbound

This paper cites Harmbench: A standardized evaluation framework for automated red teaming and robust refusal,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Harmbench: A standardized evaluation framework for automated red teaming and robust refusal,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.501654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.419406Z digest=sha256:c79ae3d772611c62af864a80a1f2ad864f5a2a61031472ecc471b723b49ecef6

Observation 328185fa-71cd-47d5-b072-c4de987f9897 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Distilling the Knowledge in a Neural Network

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:11.460521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:11.460521Z digest=sha256:aa7cce2391e71ada20a1ed6aed4e441eefc65133a8d77a02755082da8bd7cd82

Observation e979c1f7-5401-4ea3-84d4-ebd2145ec30c · outbound

This paper cites Wikitext-2 data,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Wikitext-2 data,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.413599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.522660Z digest=sha256:1fac31e56a135413a5cbdd3f9719852da2785c8b8f7591e89e6e8a6efd193ccf

Observation 2f9b11fa-484e-4ba5-af49-a60c3a682def · outbound

This paper cites Wikitext103,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Wikitext103,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.288411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.581925Z digest=sha256:5011b0bb2490685815c5098243dc6ecf83c24b04ca0a90fa887e9d44a9da268f

Observation ce7c9430-08b1-4459-bfee-fd9fcdbdbf39 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Scalable Extraction of Training Data from (Production) Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T13:07:11.611656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:11.611656Z digest=sha256:414c5f0619bf14894e3730e6d6a7b2d564880f530218352f8a994ff0ee9428f1

Observation b5c11fab-6d5f-4263-b1fc-cdcfa188b7aa · outbound

This paper cites Quantile-based cumulative kullback-leibler divergence in past lifetime: Some properties and applications,.

Clone What You Can't Steal: Black-Box LLM Replication via Logit Leakage and Distillation Quantile-based cumulative kullback-leibler divergence in past lifetime: Some properties and applications,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:07:12.192698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-05T13:07:11.652209Z digest=sha256:61ca0b6f861852db8d6374ec7d946e5471a823e327e07eb104a714cd435cb855

Pith citing papers

No inbound Pith citation observations are available.