Pith. sign in

Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:29:36.902929Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:86e6e4c4bb6b8c161c7cbc26e51f689dfe46aa03d66e9b72add5d7355c4ac48b

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.

source=pdf_text observed=2026-08-07T00:29:36.902929Z digest=sha256:074007a4ceba75b4e95362c9979cdecc2f3ee4923cfe707092713a607fa73801

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:46:30.854129Z digest=sha256:16c8aaeed9f001287b5529f4310bba7624e9b839b1ffe895975ee8a2f2b894b8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:09:43.879809Z digest=sha256:016170ecdb1222cb4092c3f57c0de7bfd73b4496d6e930cd067617687c18a475

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.

source=arxiv_source observed=2026-07-30T19:18:07.122358Z digest=sha256:0288c92d0ce38b00f3c077d66be33d8887436f9f09186eb2499026e1f3bbbb41