Paper Citation Record · LEDGER

Turning Your Strength into Watermark: Watermarking Large Language Model via Knowledge Injection

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.09535.

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

pith.paper-citation-record.v1
2311.09535 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:07:04.731923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:43:23.506489Z

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 02234a0e-5635-486b-8193-94d3ba032109 · inbound

Data Watermarking for Sequential Recommender Systems cites this paper.

Data Watermarking for Sequential Recommender Systems Turning Your Strength into Watermark: Watermarking Large Language Model via Knowledge Injection

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T17:07:04.731923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce851683-f19e-494e-8eb9-07f787ee19b1 · inbound

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

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models Turning Your Strength into Watermark: Watermarking Large Language Model via Knowledge Injection

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T00:51:17.076637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9b98cb-bab0-48be-8b44-a7c4bbcd6785 · inbound

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought cites this paper.

Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought Turning Your Strength into Watermark: Watermarking Large Language Model via Knowledge Injection

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T11:43:23.507908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 60b9d360-672b-45b2-923e-6964abb00548 · inbound

Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability cites this paper.

Toward Stronger Code Watermarking: A Grammar-Driven Approach to Optimizing the Trade-off Between Quality and Detectability Turning Your Strength into Watermark: Watermarking Large Language Model via Knowledge Injection

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T13:29:55.682502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.