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Paper Citation Record · LEDGER

Logits of API-Protected LLMs Leak Proprietary Information

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:12:56.081218Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:ab7aaaa940733a4b57fb1a1dc0b8557e7feb6a42c1b92627bf62c7b5df78e569

Observation 5326ac77-ad4d-4e7c-adff-d9762dc5e98e · inbound

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models cites this paper.

SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models Logits of API-Protected LLMs Leak Proprietary Information

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T11:12:56.081218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:12:56.081218Z digest=sha256:23e63dbea2eb548ad7b07fa4cfcc4b9c4e929e953002013aba84ade3a64cacfb

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=sha256:902793c7c087a4e210e4e95af4964df258d617016203bfd01c42599bf94dd424

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:c840f29afd843d02fc1a08aac0667705887f28c70cdbc13a08706cdc4b1124ef

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T05:00:01.795366Z digest=sha256:62759a99190f315d0e4c3f70e413818756f77add1d0cbac14d1829e287c81594

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T22:38:51.570323Z digest=sha256:b568cbfaf634ca6af17de7aab739f132015aef31fcf8557601b85f038a322c3d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T11:52:03.948568Z digest=sha256:477e416dc7ad52810144403981608ae5829232d94a4733367c4421f1e2d7946e