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Paper Citation Record · LEDGER

LLMmap: Fingerprinting For Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.15847.

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

pith.paper-citation-record.v1
2407.15847 v4

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

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:49:30.170229Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:19:44.155671Z

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 6b6e45a5-8cbb-466d-bca1-cba373221bd6 · inbound

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps cites this paper.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps LLMmap: Fingerprinting For Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T22:49:30.170229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T22:49:30.170229Z digest=sha256:7f02f100c13de1da5230df2e5c8d02fc4c5a0f94207172664b840b8e17b2d2d7

Observation 1936feb8-5523-4b3a-b5dd-69df6ffb8382 · inbound

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends cites this paper.

Copyright Protection for Large Language Models: A Survey of Methods, Challenges, and Trends LLMmap: Fingerprinting For Large Language Models

Reference 115

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:46:53.008946Z

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=2026-05-18T22:45:31.935618Z digest=sha256:0244138acce8108f8236a86add9cad2c12f57dfca322056094e11eed3857a9f5

Observation 21b313cd-1ca6-40c0-b90b-5bf260f2d9e7 · inbound

A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can See cites this paper.

A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can See LLMmap: Fingerprinting For Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T14:20:12.720607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:20:12.720607Z digest=sha256:0c624450b2ce0281cc1d7e9096a57cb356ad75d20bbbb4c7b7cfd203539cc034

Observation 67ab7be9-6be7-453c-9152-1d956e329da6 · inbound

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From cites this paper.

SeedPrints: Fingerprints Can Even Tell Which Seed Your Large Language Model Was Trained From LLMmap: Fingerprinting For Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:01:21.046722Z

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=2026-05-18T12:00:53.071212Z digest=sha256:2463145ab9cc376e926ae3a7b086eec752601017830017e6cd7b3fe127484add

Observation 578f52ab-f58d-4d4c-bcbb-53e64340596f · inbound

Evidence-Bound Gateway-Path Provenance for Third-Party LLM Inference cites this paper.

Evidence-Bound Gateway-Path Provenance for Third-Party LLM Inference LLMmap: Fingerprinting For Large Language Models

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T09:19:44.157167Z

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=2026-06-26T10:07:23.015655Z digest=sha256:237336f929f8d84a2d460f0a90131a858f3d41759364533625b7a3810e380c80

Observation b41323ca-79bf-423f-854e-371dff86b585 · inbound

Embedding Inference Attack cites this paper.

Embedding Inference Attack LLMmap: Fingerprinting For Large Language Models

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T20:48:55.415012Z

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=2026-07-03T20:40:52.467421Z digest=sha256:e89a05cdc7a7c0d70c1ca5b5e6e6f0f1a93821c7639749936b9d1c005eca77a6