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Paper Citation Record · LEDGER

Backdoor Pre-trained Models Can Transfer to All

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2111.00197.

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

pith.paper-citation-record.v1
2111.00197 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:50:00.913053Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T22:06:31.109200Z

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 6732f2f8-0c8f-4e8e-ad5d-d95443e8a879 · inbound

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations Backdoor Pre-trained Models Can Transfer to All

Reference 208

Resolution
unresolved
no resolver link, observed 2026-08-09T00:50:00.913053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:50:00.913053Z digest=sha256:6ed3d1315e499437a84f1ff19aaa7172264a7acd0624568d57b8b823fe1ac5d2

Observation 54c745f4-3050-477b-8068-f03bf4ceca12 · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models Backdoor Pre-trained Models Can Transfer to All

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:16.387648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:16.387648Z digest=sha256:5f0111bbba0b81e5bcf3ad792887ebf62f6ca62981d336422b8334475fb9d97f

Observation 7c5cf015-a36d-455c-8fc0-e8d1f7a3b9f4 · inbound

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation cites this paper.

Backdoor Attack on Vision Language Models with Stealthy Semantic Manipulation Backdoor Pre-trained Models Can Transfer to All

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:56.121769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:56.121769Z digest=sha256:2bf567d92ceffdcc72b952add92510c1dbe4926053bf746355fab161e374dfe0

Observation 4791e96c-7d95-4bc7-bd66-52539162fa09 · inbound

ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices cites this paper.

ReStNet: A Reusable & Stitchable Network for Dynamic Adaptation on IoT Devices Backdoor Pre-trained Models Can Transfer to All

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:11.309534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:11.309534Z digest=sha256:3d083c0c8673d3e7bb5185f7f2e7e8b996e3c72db1ea441316668ff329fbffc4

Observation 689de4ec-8014-4fcf-9866-f90f10626039 · inbound

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey cites this paper.

Backdoor Attacks and Defenses in Computer Vision Domain: A Survey Backdoor Pre-trained Models Can Transfer to All

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T22:06:31.150127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-04T22:06:30.802159Z digest=sha256:7fb82d5f751828ac559497da48af376195d82202af4f77c04542e3a5bf0eef66

Observation 3e0ce249-7c3a-4778-b286-f730e7d3e6c7 · inbound

Patronus: Identifying and Mitigating Transferable Backdoors in Pre-trained Language Models cites this paper.

Patronus: Identifying and Mitigating Transferable Backdoors in Pre-trained Language Models Backdoor Pre-trained Models Can Transfer to All

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T18:08:07.403705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:08:07.403705Z digest=sha256:46afd8c305247374b4e622b5767341f1869ec4a5e5f97b4aedb6f05844d61116