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Paper Citation Record · LEDGER

Logits of API-Protected LLMs Leak Proprietary Information

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2403.09539.

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

pith.paper-citation-record.v1
2403.09539 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:58:59.628645Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:19:44.425146Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d25c9892-8bba-4f95-8b14-f8893cddeae0 · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Logits of API-Protected LLMs Leak Proprietary Information

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:13:39.509083Z

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=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:d590b0634b4f991ca05d2a8e2b40747d981d84d37152ad86d69583684e108954

Observation ae09eb1b-53dd-426a-9948-9b070d39cd72 · inbound

Approximating Language Model Training Data from Weights cites this paper.

Approximating Language Model Training Data from Weights Logits of API-Protected LLMs Leak Proprietary Information

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:58:59.628645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:58:59.628645Z digest=sha256:7be83bb9b79f294ffa123493c6d8161cf87c5d9e78a62d0c95fbf091730d15eb

Observation 07776bda-aeae-40dc-a84f-23e93498ff95 · inbound

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models cites this paper.

A Rose by Any Other Name Would Smell as Sweet: Categorical Homotopy Theory for Large Language Models Logits of API-Protected LLMs Leak Proprietary Information

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T23:46:18.451115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:46:18.451115Z digest=sha256:d541496dcf8b3991c29a09b766f9dffffbe2fa09db3b7a8c09727a49549b612e

Observation a398eaa3-e919-468f-bcd7-e02730f5d8b4 · inbound

Identified-Set Geometry of Distributional Model Extraction under Top-$K$ Censored API Access cites this paper.

Identified-Set Geometry of Distributional Model Extraction under Top-$K$ Censored API Access Logits of API-Protected LLMs Leak Proprietary Information

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:46:27.091836Z

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=arxiv_source observed=2026-05-12T05:00:01.795366Z digest=sha256:df2a1b530d3ccbf6a265f0d2db45b90d90f0acee58b1706555601b3a634c00a4

Observation 735fb2b6-8263-4555-b10c-a0a33b8f26f3 · inbound

The Geometry of Last-Layer Model Stealing cites this paper.

The Geometry of Last-Layer Model Stealing Logits of API-Protected LLMs Leak Proprietary Information

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:09.538689Z

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=2026-06-27T22:38:51.570323Z digest=sha256:4af3121ea233f50f1e69fe0dcc249e8d2cc738996af6cc9725e9ccf475d71c8e

Observation f39d02e7-a176-419d-bbc6-8b1badf7a181 · inbound

Channel Location Constrains the Auditability of Subliminal Learning cites this paper.

Channel Location Constrains the Auditability of Subliminal Learning Logits of API-Protected LLMs Leak Proprietary Information

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.426590Z

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=2026-06-26T11:52:03.948568Z digest=sha256:53d8ec7e248aacabf742f50771b2949f57843a70fc6a70a75d1715a98b76b0dd