Paper Citation Record · LEDGER

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps

As of 10 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2501.18712.

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

pith.paper-citation-record.v1
2501.18712 v4

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:49:30.207893Z

measured 20 of 20 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-18T22:45:31.935618Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:53.151723Z

Reference resolution

18 of 18 outbound references displayed

verified exact0
verified fuzzy1
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d5960c4f-3882-449e-bbfc-aa08bd192e9c · outbound

This paper cites J., et al.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps J., et al

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T22:49:30.504783Z

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.

Observation c46bffa7-f9db-49d9-9765-aa6675f31020 · outbound

This paper cites TaskWeaver: A Code-First Agent Framework.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps TaskWeaver: A Code-First Agent Framework

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.137212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89add857-fd5a-471f-bb31-cb1e851be924 · outbound

This paper cites A., Jagielski, M., Gao, I., Koh, P.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps A., Jagielski, M., Gao, I., Koh, P

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.141677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713b81ef-9e49-4864-b103-8cb020c0a231 · outbound

This paper cites Jailbreaking Black Box Large Language Models in Twenty Queries.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps Jailbreaking Black Box Large Language Models in Twenty Queries

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.146755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb2e073-a072-41c9-8a14-1ab9d5a0cbe0 · outbound

This paper cites u ttler, H., Lewis, M., Yih, W.-t., Rockt \.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps u ttler, H., Lewis, M., Yih, W.-t., Rockt \

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.152098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470ddb0d-9fef-4d86-92ec-9126274dc102 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.155882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a7a393-a969-4ea0-ab8b-c43fc9133ba6 · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.160912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4e09431-720e-48b4-bfa1-7679a542ba82 · outbound

This paper cites Your Large Language Models Are Leaving Fingerprints.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps Your Large Language Models Are Leaving Fingerprints

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.165809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b6e45a5-8cbb-466d-bca1-cba373221bd6 · outbound

This paper cites LLMmap: Fingerprinting For Large Language Models.

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.

Observation b6db5a8f-78cc-4342-9df5-169cfd75b46b · outbound

This paper cites Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.174646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b91a0d-7c41-4452-a4b2-aa528422680a · outbound

This paper cites Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.179060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afcd5929-6898-44a3-afdb-d410f0b2be70 · outbound

This paper cites V., Zhou, D., et al.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps V., Zhou, D., et al

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.183156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31526ded-671c-443c-9d51-15dc7010d850 · outbound

This paper cites Instructional Fingerprinting of Large Language Models.

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

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.186791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9410211b-82ce-4c4c-a904-b4bb07e29434 · outbound

This paper cites MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.191393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f283d131-8ca1-4613-903a-9a658abbc9ec · outbound

This paper cites Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps Auto-GPT for Online Decision Making: Benchmarks and Additional Opinions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.195363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35930b8-106e-4c44-bc91-f49620f208b0 · outbound

This paper cites and Wu, H.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps and Wu, H

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.199890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41974ded-1c93-4a11-a830-33ccefec5fb1 · outbound

This paper cites REEF: Representation Encoding Fingerprints for Large Language Models.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps REEF: Representation Encoding Fingerprints for Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.203351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db98aeb4-7b2a-4c2d-b3ad-405b7b9336e0 · outbound

This paper cites write newline.

Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps write newline

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T22:49:30.207893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 29ab6aab-6d9a-4b6b-9fbc-47e01fe93bdd · 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 Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:46:53.154790Z

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.

Observation 53d4c322-d83a-45d4-af6a-c845651c4f59 · inbound

AI Identification: An Integrated Framework for Sustainable Governance in Digital Enterprises cites this paper.

AI Identification: An Integrated Framework for Sustainable Governance in Digital Enterprises Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:21:01.188243Z

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.