Pith. sign in

Paper Citation Record · LEDGER

Adversarial Backdoor Defense in CLIP

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.15968.

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

pith.paper-citation-record.v1
2409.15968 v1

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

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:07.529702Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T08:17:43.734636Z

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 28183c4e-b266-497f-b07f-42480a4755c1 · 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 Adversarial Backdoor Defense in CLIP

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-23T08:17:43.741383Z

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=2026-05-23T08:16:53.133986Z digest=sha256:13e97fb1d02c2395d144cedbd79d5e0c5482bbeabcda8dced15c69b594fc7a37

Observation e64eb001-0d69-4092-b138-0fc511bc91b9 · inbound

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning cites this paper.

InverTune: Removing Backdoors from Multimodal Contrastive Learning Models via Trigger Inversion and Activation Tuning Adversarial Backdoor Defense in CLIP

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:07.529702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:07.529702Z digest=sha256:4d703b0968a6a554fbc1ace4c34a29c1904691cbcce7f689c95d09d0a507fc14

Observation b6d379d5-d134-4c04-8dd0-a36dd7d8e393 · inbound

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks cites this paper.

ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks Adversarial Backdoor Defense in CLIP

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:05:09.316305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:05:09.316305Z digest=sha256:3b837b243e451c0f2491024f906b544f5fe41cc26ec07513e335e29f3dcb8fbe

Observation 3e62c92b-09a5-4983-bb01-45e74011c819 · inbound

Multimodal Fine-grained Reasoning for Post Quality Evaluation cites this paper.

Multimodal Fine-grained Reasoning for Post Quality Evaluation Adversarial Backdoor Defense in CLIP

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:37.802689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:37.802689Z digest=sha256:e27430319a4eda3ce653e8c298d6adb9bab5b28fe4b2f661ca1b7a73569f7c2f

Observation b12ca2f7-9d25-4af1-a67b-a976caed9f95 · inbound

TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models cites this paper.

TokenSwap: Backdoor Attack on the Compositional Understanding of Large Vision-Language Models Adversarial Backdoor Defense in CLIP

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T13:52:14.260685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:52:14.260685Z digest=sha256:3e0dac5f03a163b189b8cc2a187eb19b17c9846ced85bc5355bf1793384a2370

Observation a280cbb2-1dd2-49f3-b3fa-5ca6889eba34 · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Adversarial Backdoor Defense in CLIP

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:05:49.283566Z

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=2026-05-10T20:14:02.553313Z digest=sha256:95363cdeb3629a04f3edb6a90fb3d04a1f12bc570b437c4243f84e8c8b34878e

Observation 3bb71f31-9f42-46b1-827c-6bd2467b029a · inbound

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting cites this paper.

TimeGuard: Channel-wise Pool Training for Backdoor Defense in Time Series Forecasting Adversarial Backdoor Defense in CLIP

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T05:31:07.668399Z

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=arxiv_source observed=2026-05-22T05:29:52.758898Z digest=sha256:90f4858eb1b5ff4b4885ba9d76f9c38f557ecda336d8e1986b0cdf0215c95888