Pith. sign in

Paper Citation Record · LEDGER

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2403.00108.

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

pith.paper-citation-record.v1
2403.00108 v2

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

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:48:15.563187Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:37:30.892778Z

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 6fbe47d4-01bc-4292-a0a1-455f5f5613b5 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 135

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.563692Z

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=2026-05-17T22:16:04.386706Z digest=sha256:af3394a3420945fbda9e41897e02517e3622d069b77772da2e084587b6116894

Observation 9183bd86-2785-44ee-a794-60d21b3f351b · 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 LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:15.563187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:15.563187Z digest=sha256:4d93cbe0af27c775e4939005e054efc5d725ad8d113502b80fdcbfeb62182dc0

Observation 822a5126-baa0-48ab-ba01-3c3c1b8d544c · inbound

A Systematic Review of Poisoning Attacks Against Large Language Models cites this paper.

A Systematic Review of Poisoning Attacks Against Large Language Models LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:59:32.537298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:59:32.537298Z digest=sha256:c7fa75fb21f745c8bdf78e9c725a5aba0b080710bc7904de7b46076d62b37d7b

Observation 6f79a059-7064-4999-9727-949fe76b1e74 · inbound

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models cites this paper.

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:17.303516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:17.303516Z digest=sha256:7c5deeeda2e259434e34a7f5ac41f2a098f43fdeb50c357ba0fef3d7c3a6d9b6

Observation e4eaa93c-5050-4b29-80bf-fc69b8bab50b · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 217

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:38.569524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:38.569524Z digest=sha256:c5000c332619c1fa20d7a011233f867a04f8d7a62dc8817035956ce7f23acea2

Observation 9a9cbdb0-ad4b-44a6-a52f-0eab3d6cfd03 · inbound

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models cites this paper.

GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:52:35.548549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:52:35.548549Z digest=sha256:454927440d88e85ea00074952db1013db6be565dd244c0c1f45d7879b794774e

Observation 7b4a3f9d-1a8c-43fd-8c58-31beff3269a9 · inbound

Pruning Strategies for Backdoor Defense in LLMs cites this paper.

Pruning Strategies for Backdoor Defense in LLMs LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-05T15:19:14.859443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:19:14.859443Z digest=sha256:df99d862fee33a47d35820f5baf77deff92aa785d6342208a931c7a969c2afe9

Observation 75eeeded-99f4-4cf3-9009-139d34336a81 · inbound

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models cites this paper.

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T13:17:08.219382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:17:08.219382Z digest=sha256:99f782fa3ad60208166d3b776233ebe225e1b34ca9cc73329f382b2e7ef2d34c

Observation c5fa3666-058a-4e13-8a17-e815b12ee347 · inbound

Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation cites this paper.

Don't Pass@k: A Bayesian Framework for Large Language Model Evaluation LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:06:13.697660Z

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=2026-05-18T10:04:39.223895Z digest=sha256:b91cab7f23cdba0ee800f93a295aa01a03e3bbbf03d4a2f04999c5ee1c9231f7

Observation 1356a701-c8ea-4608-9592-61aba098d224 · inbound

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs cites this paper.

Efficiency vs. Alignment: Investigating Safety and Fairness Risks in Parameter-Efficient Fine-Tuning of LLMs LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:08.407743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:08.407743Z digest=sha256:af21cb8de33822e5c5614ac82a24b97b30cc7b3694a7ad0ca6337548646dbe08

Observation 90ae5a64-c093-4054-a546-9dfcf867c6c7 · inbound

When LoRA Betrays: Backdooring Text-to-Image Models by Masquerading as Benign Adapters cites this paper.

When LoRA Betrays: Backdooring Text-to-Image Models by Masquerading as Benign Adapters LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:36:32.991481Z

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=2026-05-15T19:32:24.154524Z digest=sha256:991cf576ac9df48f58d144893041aeee189bebadc3022766c7ba53d65ded522b

Observation de274a3d-25ee-4c58-934b-dd1feec455c9 · inbound

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs cites this paper.

Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:23.466814Z

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=2026-06-27T20:05:30.325338Z digest=sha256:1891353b2bf09e5c0fdf212ef737a9c73bc4f353c2108b23d4c51d2f525bb7e6

Observation 3614cc63-275d-4b67-bb8e-6a72c2e8aeb0 · inbound

Customization under Fire: Plugin Poisoning in Text-to-Image Ecosystem cites this paper.

Customization under Fire: Plugin Poisoning in Text-to-Image Ecosystem LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:37:30.894453Z

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=2026-06-27T16:25:37.031986Z digest=sha256:2e57b3efe82c8fac2a3f6dd823694df24bddd7fd9797dfd2e5bb0ff82e2202b8