Paper Citation Record · LEDGER

Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.14883.

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

pith.paper-citation-record.v1
2402.14883 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:18.619200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:46:53.310711Z

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 b6b9e794-dfc5-4576-8e01-0d43345b999f · inbound

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems cites this paper.

CoTGuard: Using Chain-of-Thought Triggering for Copyright Protection in Multi-Agent LLM Systems Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:18.619200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b140ad0a-5bae-45d2-a697-a05a3815bd00 · inbound

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

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:16.967571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de97bd3-4ac0-439f-bb61-b32e38543dd1 · inbound

Towards Provable (In)Secure Model Weight Release Schemes cites this paper.

Towards Provable (In)Secure Model Weight Release Schemes Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:21:54.184770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd8a0b5e-495b-4383-a8fe-7f7cf577ac70 · 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 Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:46:53.313961Z

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.

Observation 48e50b03-5d2b-4ced-98e6-b1fd76ba815b · 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 Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:17:08.214509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ade4ff2-23b1-436e-943e-b24b6186c08c · inbound

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions cites this paper.

AttenTrack: Mobile User Attention Awareness Based on Context and External Distractions Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T12:39:34.085389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86658613-9b53-42b3-a7b2-778e7f9edffe · 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 Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T05:54:46.537696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4df35737-5dc7-42f6-adfe-4014634cf359 · inbound

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models cites this paper.

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.211009Z

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.

Observation deefeb84-3bbd-47da-8694-718c45146899 · inbound

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models cites this paper.

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:01:16.568136Z

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.

Observation 619ab101-b3c5-481a-8dbd-4f75cff2c59e · inbound

VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models cites this paper.

VertMark: A Unified Training-Free Robust Watermarking Framework for Vertical Domain Pre-trained Language Models Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:05:35.345616Z

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.