Paper Citation Record · LEDGER

Watermarking Pre-trained Language Models with Backdooring

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2210.07543.

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

pith.paper-citation-record.v1
2210.07543 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:07.362202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T08:17:43.726531Z

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 4a10f33a-4c07-44e4-b912-22c5b9305582 · inbound

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP cites this paper.

Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP Watermarking Pre-trained Language Models with Backdooring

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T08:17:43.731390Z

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 f056cb75-b59c-4a3d-a54d-6a9b394a09e3 · inbound

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach cites this paper.

Zero-Shot Attribution for Large Language Models: A Distribution Testing Approach Watermarking Pre-trained Language Models with Backdooring

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:07.362202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3f7a0f1-d09b-4b12-ae53-4ea515d4f8a1 · inbound

Invariant-based Robust Weights Watermark for Large Language Models cites this paper.

Invariant-based Robust Weights Watermark for Large Language Models Watermarking Pre-trained Language Models with Backdooring

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T18:33:05.191485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ba644b4-508d-4335-b94b-ecda4a386530 · 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 Watermarking Pre-trained Language Models with Backdooring

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:46:53.235656Z

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 1d784b85-3214-494a-a428-35f8d2bf5897 · inbound

SWAN: Semantic Watermarking with Abstract Meaning Representation cites this paper.

SWAN: Semantic Watermarking with Abstract Meaning Representation Watermarking Pre-trained Language Models with Backdooring

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:09.588132Z

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 5551e841-70e8-45e0-a984-1160472c8db7 · inbound

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation cites this paper.

Prompt2Fingerprint: Plug-and-Play LLM Fingerprinting via Text-to-Weight Generation Watermarking Pre-trained Language Models with Backdooring

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T09:38:10.903472Z

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 fb7c27ed-89f1-43e4-ac59-e76c4764d945 · inbound

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility cites this paper.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Watermarking Pre-trained Language Models with Backdooring

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:19:36.147773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.