Paper Citation Record · LEDGER

CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.12768.

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

pith.paper-citation-record.v1
2411.12768 v2

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 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:33.051071Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:42:34.149752Z

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 8df4b545-1aef-4f73-b8cd-e97ab43ea805 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

Reference 172

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:34.155144Z

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 1e2c06e0-4ff8-4b4a-b33f-420a00403184 · inbound

Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors cites this paper.

Beyond Black-Box Obfuscation: Mechanistic Analysis and Defense of White-Box Monitors CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:33.051071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6b2ef6-51bd-4f47-b7f5-282c25a242f8 · inbound

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs cites this paper.

Unlearning Isn't Invisible: Detecting Unlearning Traces in LLMs from Model Outputs CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T00:29:36.902929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation accfee27-4f02-42bf-91b5-055e04fc285e · inbound

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward cites this paper.

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:10:59.790744Z

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 4d56cd65-ca52-4733-a70d-fb81da8ae22d · inbound

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing cites this paper.

Defusing the Trigger: Plug-and-Play Defense for Backdoored LLMs via Tail-Risk Intrinsic Geometric Smoothing CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:16:24.696232Z

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 ec5252b1-1e0c-4a1a-86de-4786792dfc1b · inbound

ToxScreen: Detecting Whether an LLM Has Been Poisoned cites this paper.

ToxScreen: Detecting Whether an LLM Has Been Poisoned CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-30T19:18:07.122358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.