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Paper Citation Record · LEDGER

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.10928.

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

pith.paper-citation-record.v1
2411.10928 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:28:55.962111Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:26:35.777715Z

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 50aef3b6-ccc3-44ca-8ad4-2df5516d0ba3 · inbound

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning cites this paper.

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:55.962111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:55.962111Z digest=sha256:aef32eddd876f2b4310611d73363a6947b4d69e1a98ef5db402dc32e1649bb62

Observation e27cb4aa-2d05-4bd2-9e3f-da99a794f8e3 · inbound

Backdoor Cleaning without External Guidance in MLLM Fine-tuning cites this paper.

Backdoor Cleaning without External Guidance in MLLM Fine-tuning Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:56:51.027820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:56:51.027820Z digest=sha256:d311e375db92164c149da6e02356569a4afb47079f09b6cd2a4badda52dcbc6b

Observation 4f5cc45e-8a91-4853-8278-83229e352999 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:23.310658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:23.310658Z digest=sha256:c3b058eece041bba721c18c80adbbc43d67b76bf8d188f0a9c156118f637f519

Observation 3dd389d7-4e46-4f77-95f2-713ec43ba291 · inbound

LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning cites this paper.

LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:26:35.785326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T16:26:35.174592Z digest=sha256:2a663226d6c12cdc58b1d5be96ff5c126bb263f3ea06c21e250366e1a6d8a189