Pith. sign in

Paper Citation Record · LEDGER

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2504.07448.

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

pith.paper-citation-record.v1
2504.07448 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:16.833605Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:17:24.972152Z

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 7a2c62e9-ea2b-4a07-9964-07c4af6fbcae · inbound

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging cites this paper.

Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:16.833605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:16.833605Z digest=sha256:ac93bd6dccf4058992ee8986934efa2b592b5cb8739083cc198468d79a33c74d

Observation 1a76ac7c-92e9-407d-9c91-fad565449d08 · inbound

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption cites this paper.

AFLoRA: Adaptive Federated Fine-Tuning of Large Language Models with Resource-Aware Low-Rank Adaption LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:20:45.912837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:20:45.912837Z digest=sha256:ad6fa3f95a87caeb7f3540a565140ef0ec48b82969887185ebe6e55c4b4ea64d

Observation 67bd2781-eee0-40ee-8ffc-afec2bc8c4f3 · inbound

TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models cites this paper.

TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T21:24:54.908403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:24:54.908403Z digest=sha256:adc8cd6c8160ccf887c3a76a042b413e33b972e6e9802ac7a73201bab8658e85

Observation fd2ee2a6-09cc-499d-95e1-3f1a7c59771b · inbound

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models cites this paper.

When Less is More: 8-bit Quantization Improves Continual Learning in Large Language Models LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T14:52:20.978146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T14:52:20.978146Z digest=sha256:2df0ca173848ff920358c6af10ef14a1a83d5722892e1084d502c47150243118

Observation 704ea5fa-7e77-4f85-90d7-485f2706ea12 · inbound

HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models cites this paper.

HELLoRA: Hot Experts Layer-Level Low-Rank Adaptation for Mixture-of-Experts Models LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:29:12.676216Z

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=2026-05-20T23:28:16.851459Z digest=sha256:a3afb3a4579f857de63b33feeb6cb3bb58c986cf2238a31e3c8d8c356fa65617

Observation 7d635c22-a49c-4c40-a8ab-483d20b64b38 · inbound

AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments cites this paper.

AlignFed: Alignment-Aware Asynchronous Federated Fine-Tuning for Large Language Models in Heterogeneous Edge Environments LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T21:17:24.974228Z

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=2026-06-27T19:50:03.055481Z digest=sha256:70354cfed3f422d89c2f02fb55f9ba52275abc30699718c7b5707f9d5f557fc2

Observation 9c6458b4-6244-4a91-b800-0f98df1ec26f · inbound

When One Adapter Speaks for Many: Discovering Low-Rank Redundancy in Continual Fine-Tuning cites this paper.

When One Adapter Speaks for Many: Discovering Low-Rank Redundancy in Continual Fine-Tuning LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:43:51.191219Z

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=2026-06-29T05:03:26.917568Z digest=sha256:83fb460dceece300f0878e8cd0d8297d6d11fd68cb44d509aa85e3f0e76d9329

Observation 3cc3499e-b76d-4d28-ae5c-ab48e9fd36e7 · inbound

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling cites this paper.

REAL-OW: Rehearsal-free Open World Object Detection with Low-Rank Adaptation and Dual-Stage Objectness Modeling LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Reference 53

Resolution
unresolved
no resolver link, observed 2026-07-12T05:31:12.070781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:31:12.070781Z digest=sha256:0aa93df6d0bed1ec3b7910e48ad2fe59124f0c25425c11ddbfca6aceb8d96be8