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Paper Citation Record · LEDGER

Ward: Provable RAG Dataset Inference via LLM Watermarks

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.03537.

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

pith.paper-citation-record.v1
2410.03537 v2

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 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:18:37.220913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T05:25:54.411948Z

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 88c0c4b7-27dd-4ca8-98c8-5c201f0f1713 · inbound

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models cites this paper.

RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models Ward: Provable RAG Dataset Inference via LLM Watermarks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T21:18:37.220913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:18:37.220913Z digest=sha256:b7c308183f655dfc4843c00b27a2bfaa69f320b35bb158609462bd79aeba84dd

Observation 63491c51-1ed4-4dba-9fbb-6759d90a4555 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Ward: Provable RAG Dataset Inference via LLM Watermarks

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:25.320690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:25.320690Z digest=sha256:b2f0feeae8a614aaf40fb7a545a40c31e9a5d0c715fe441251496e16025b74d0

Observation d59fdcd9-d907-4af2-b16b-d9d5f37c83db · inbound

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

Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical Adoption Ward: Provable RAG Dataset Inference via LLM Watermarks

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:25:54.414123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T05:24:25.622071Z digest=sha256:682a6a597e65dd4d454837afd642ee3d0f26357e6ae33c2002ac9c4794a26d94