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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

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  • unresolved7
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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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source=pdf_text observed=2026-08-05T13:07:10.477254Z digest=sha256:906072530c88f48eea481c5294e73688321507bb34d388cd902fda5e0a65f64b

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

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Source-reported events for the cited work

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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

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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 2026-08-07T06:34:17.273281+00:00.

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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

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:10.663729Z digest=sha256:8ad131a633519f125a883f2b09c468325f144a06564fc4ce9e20fb4d5f4fbed1

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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source=pdf_text observed=2026-08-05T13:07:10.757582Z digest=sha256:f7b5905e6c344625a73e8b7e7297847050ecbe182dd40dfcb10c25bb6be0ecdc

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:10.820299Z digest=sha256:be8c592ae7689977ed58fc10ab798d0e0ed4c3493e65d95f5c81e45ee8d85df4

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:10.873576Z digest=sha256:c4130dabba83832c374fb6ad08b45165d9902c8dab6c0a58fdde09f9c29035a7

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:10.908447Z digest=sha256:4d6fb3752870b3fb9e9d367b907ea7df1fecd7890e6bcdaf0022b03aabbe1ff6

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:10.961820Z digest=sha256:d99a2aafd75510b7f6cdcc1a49f9669943c6f251801398d0990ea10259ee96dc

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:11.025594Z digest=sha256:e286f93ec8f2a8be52b1d040b554427ebe6d93069f9c7092958e9d58fbee4cc6

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:11.163435Z digest=sha256:29ed23a6f66af1431df2b7aca09167c37d248f7a77f866f4382dc35abf5f63fa

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:11.258365Z digest=sha256:83483631737abaf930a7e00a7a78f599d9b0c578a63ffb4cf2526532f3e04262

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

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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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:11.419406Z digest=sha256:6e6a906302024ac93d6ef5052605c854a7fe510fd066c39401c57edf9f4bb4ce

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

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source=pdf_text observed=2026-08-05T13:07:11.460521Z digest=sha256:988a3ce1c1abfae8e9887dd8fab6cdb3ac093935905c7bfd6cad061a065f36b5

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:11.522660Z digest=sha256:c8c9f8a6dce0a8a9b7785453f90ff6cc3bdfabdc506065eaf0380725747bc769

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T13:07:11.581925Z digest=sha256:e168fc9667ad9efda1fe7be4f06f38f11cb34c537128c3d68be02feff864f8df

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:07:11.611656Z digest=sha256:7d35f820325278303482c2153a537f95fa7a91cdc223fdfcc3ba082a8e83208f

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.