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Paper Citation Record · LEDGER

Watermarking Text Data on Large Language Models for Dataset Copyright

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.13257.

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

pith.paper-citation-record.v1
2305.13257 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:13:34.671240Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:25:54.272893Z

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 d734b74d-6d54-4b0f-b61e-38f3ea3f8be4 · inbound

Data Watermarking for Sequential Recommender Systems cites this paper.

Data Watermarking for Sequential Recommender Systems Watermarking Text Data on Large Language Models for Dataset Copyright

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T17:07:04.745745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:07:04.745745Z digest=sha256:a5b5410eb2a4effc400f16171ae6f34b4e02976c6d7c43062bacf3871bf747a5

Observation 4fceab2c-afca-4cb7-801f-161a3c9a8559 · inbound

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings cites this paper.

STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Watermarking Text Data on Large Language Models for Dataset Copyright

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T12:13:34.671240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:13:34.671240Z digest=sha256:bb23d924afb16a6d0d580a8bd5de3faa24fc22bc27abd79c1b81ec511824cc40

Observation 4decb564-13f9-4bfe-a6f7-408f5ab6242d · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Watermarking Text Data on Large Language Models for Dataset Copyright

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.275291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:971d25f7b02b7a5dc922fccfd2d1bf157145d12bbb2aa2a7fde8312425d19882