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Paper Citation Record · LEDGER

Persistent Pre-Training Poisoning of LLMs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.13722.

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

pith.paper-citation-record.v1
2410.13722 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:24.259371Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 94b0389a-a13b-460a-a738-7a4f8526676c · inbound

Safety Co-Option and Compromised National Security: The Self-Fulfilling Prophecy of Weakened AI Risk Thresholds cites this paper.

Safety Co-Option and Compromised National Security: The Self-Fulfilling Prophecy of Weakened AI Risk Thresholds Persistent Pre-Training Poisoning of LLMs

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-16T11:37:24.259371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:37:24.259371Z digest=sha256:a8657872715c112bfa8b7028d63c64525ffd29d857b4771d391997e650fbc149

Observation fe51bb5c-8333-4f62-b076-ff372d5ee613 · inbound

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment cites this paper.

A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment Persistent Pre-Training Poisoning of LLMs

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T11:24:12.205185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:24:12.205185Z digest=sha256:543091f7ae548a315908493167b327d865c26e3382b8b6becd5d7dcab080b9f4

Observation 082b1191-bacf-4ebe-a5b2-0de12c787e04 · inbound

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning cites this paper.

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning Persistent Pre-Training Poisoning of LLMs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T19:54:57.869736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:54:57.869736Z digest=sha256:8218230c8d17db47d23d3ce016b15241e6c447aa557bf28d698d1e25193b78ce

Observation 61930fa2-0d60-4976-bcaf-c99b7b2e7c9e · inbound

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users cites this paper.

LLM Hypnosis: Exploiting User Feedback for Unauthorized Knowledge Injection to All Users Persistent Pre-Training Poisoning of LLMs

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:02:07.835933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T05:58:17.452837Z digest=sha256:b492abe3d8178f89157e5021da6db5096e70f38e5995d0e601ee5770aab75e37

Observation 7172ed78-bb13-4fd4-be47-6d7877ac3bd1 · inbound

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection cites this paper.

From Alerts to Intelligence: A Novel LLM-Aided Framework for Host-based Intrusion Detection Persistent Pre-Training Poisoning of LLMs

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-06T17:30:02.613382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:30:02.613382Z digest=sha256:196cad920935de59c1ffadadb9aa220a4cbe2c3405368cafacefe83eb0bc90a5

Observation 2a43c7fe-abc1-4ec4-9863-4759915f00b2 · inbound

Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs cites this paper.

Poison Once, Refuse Forever: Weaponizing Alignment for Injecting Bias in LLMs Persistent Pre-Training Poisoning of LLMs

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-15T16:51:54.969388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:51:54.969388Z digest=sha256:bfff8eac0040a9309c9da574cb6af58fe5907b0e2fbeeaf3956d96c66093a42d

Observation 3ae4ac16-e89d-40dc-ada3-b5091055e954 · inbound

When AI reviews science: Can we trust the referee? cites this paper.

When AI reviews science: Can we trust the referee? Persistent Pre-Training Poisoning of LLMs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-08T23:19:30.034085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-08T06:19:54.727724Z digest=sha256:6a6ff245ad6f32824eab387358921529e63e956e7cdc45ddf9a42d11208a8b38

Observation 918a8d02-283b-44f1-8730-1e5230347b31 · inbound

Iterative Finetuning is Mostly Idempotent cites this paper.

Iterative Finetuning is Mostly Idempotent Persistent Pre-Training Poisoning of LLMs

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:51:44.658177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-09T19:04:36.210200Z digest=sha256:32c9223b536e8a741e771834590d0841ff787f2c68108afeda3a37dfdaf301ae

Observation e118ca89-f883-4a34-80ce-3557b3882b90 · inbound

RogueMerge: Robust and Unified Attacks against LLM Model Merging cites this paper.

RogueMerge: Robust and Unified Attacks against LLM Model Merging Persistent Pre-Training Poisoning of LLMs

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:26:28.943210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T10:05:10.309553Z digest=sha256:5cb270cf019792cc29e03dc2999406cc99e64d94efcb6e11e22e3cc5ca1ee99a

Observation d8c6d084-3453-4988-8c84-78214b01b05d · inbound

Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs cites this paper.

Loss Landscape Poisoning: Targeted Extraction of Unseen Training Data from LLMs Persistent Pre-Training Poisoning of LLMs

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-07-03T17:38:43.820421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-27T03:59:30.468854Z digest=sha256:8ebb2eccfd34af7c44ceb4165c3e8950bb8105cadba848f588e93286c4ea5445

Observation 689f63ea-f1a3-4521-ac61-77ba4512e7b3 · inbound

Safety from Honesty in a Disinterested AI Predictor cites this paper.

Safety from Honesty in a Disinterested AI Predictor Persistent Pre-Training Poisoning of LLMs

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:54:20.238453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-30T06:53:19.737408Z digest=sha256:51017f9db4f46f1c83b845d85700d6a85bc4df8d2fa9e531f17d919939f69ab4

Observation 208515e5-8200-47c3-9bc9-69c654786b2b · inbound

Safety from Honesty in a Disinterested AI Predictor cites this paper.

Safety from Honesty in a Disinterested AI Predictor Persistent Pre-Training Poisoning of LLMs

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-14T17:02:19.189814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T17:02:19.189814Z digest=sha256:85d69a9dc40762d0caa02a4362f786d7d50c31851b826df35cd56708d8e1a1f0

Observation 5c10e7ca-2f94-423e-9b76-15ebc9eeb19f · inbound

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense cites this paper.

Security--Fidelity Tradeoffs: The Hidden Cost of Prompt Injection Defense Persistent Pre-Training Poisoning of LLMs

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-07-01T01:45:13.857887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-01T01:44:07.700127Z digest=sha256:f1c8354c0cf7f44af3799b6704e68b202322b34dd405fc5b8a44e51969272d49