Paper Citation Record · LEDGER

Instructional Fingerprinting of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2401.12255.

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

pith.paper-citation-record.v1
2401.12255 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:13:51.652802Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T01:56:28.016542Z

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 acd51f7f-cb9a-4a40-80f4-9b9d8ad5cf02 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities Instructional Fingerprinting of Large Language Models

Reference 261

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:16:04.787476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 794bc9cf-cb95-4e93-822d-7aa792157452 · inbound

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models cites this paper.

CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models Instructional Fingerprinting of Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:40.415472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a661662-760e-4a70-a8c8-5e48479c992f · inbound

Expert Survey: AI Reliability & Security Research Priorities cites this paper.

Expert Survey: AI Reliability & Security Research Priorities Instructional Fingerprinting of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:31:01.257973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9a6fae-2379-4d6a-b312-d5937adc116f · inbound

Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification cites this paper.

Gradient-Based Model Fingerprinting for LLM Similarity Detection and Family Classification Instructional Fingerprinting of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:45:37.457976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4985b978-420f-4755-8b68-77b01ce290fc · inbound

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models cites this paper.

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models Instructional Fingerprinting of Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:19.061966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d71d491-0fd2-47e7-8851-a7c988f11eb6 · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models Instructional Fingerprinting of Large Language Models

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:13.891780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bf314fe-c521-4e9b-9647-a265a22f629b · inbound

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives cites this paper.

A Systematic Survey of Model Extraction Attacks and Defenses: State-of-the-Art and Perspectives Instructional Fingerprinting of Large Language Models

Reference 230

Resolution: unresolved; no resolver link, observed 2026-08-05T18:12:38.068290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd007d47-9eff-4cdc-9b97-4f308ca50bf3 · inbound

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models cites this paper.

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models Instructional Fingerprinting of Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T13:17:08.292557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a0357a2-7108-45dd-8bd0-d0e751509a43 · inbound

PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement cites this paper.

PREE: Towards Harmless and Adaptive Fingerprint Editing in Large Language Models via Knowledge Prefix Enhancement Instructional Fingerprinting of Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-05T13:11:20.558675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a370fcd6-3b6d-46eb-813d-c78f423b7960 · inbound

CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor cites this paper.

CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation Backdoor Instructional Fingerprinting of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-05T05:54:46.835825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf2f20c3-e678-4d9a-9621-ceb3ff20c7fc · 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 Instructional Fingerprinting of Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:01:21.094200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f345ad0c-4a26-40ab-a361-607cc107ed55 · inbound

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption cites this paper.

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Instructional Fingerprinting of Large Language Models

Reference 58

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T05:25:54.307000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 489c242c-c33a-4089-a4cb-f0cc35d1d9ee · inbound

FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences cites this paper.

FLIPS: Instance-Fingerprinting for LLMs via Pseudo-random Sequences Instructional Fingerprinting of Large Language Models

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:56:28.018767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d430b2db-35fb-49e0-89b2-2b967986b074 · inbound

Detecting Safety Training Modification in Language Models via Activation Analysis cites this paper.

Detecting Safety Training Modification in Language Models via Activation Analysis Instructional Fingerprinting of Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T10:13:51.652802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.