Paper Citation Record · LEDGER

ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.05849.

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

pith.paper-citation-record.v1
2410.05849 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:10:48.428757Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:52:40.173287Z

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 bd7faf7b-b100-42d1-a232-f02116c48a5e · inbound

Modality-Inconsistent Continual Learning of Multimodal Large Language Models cites this paper.

Modality-Inconsistent Continual Learning of Multimodal Large Language Models ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:52:40.176191Z

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.

Observation c3f9f4d7-c052-44d1-bb6b-6cb51cb02106 · inbound

LLaVA-c: Continual Improved Visual Instruction Tuning cites this paper.

LLaVA-c: Continual Improved Visual Instruction Tuning ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:10:48.428757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac799a5d-6088-4f13-893d-628bd6aab6ca · 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 ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 240

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:36.499204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9847a9d-0144-42b1-8789-902b83950b2d · inbound

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training cites this paper.

Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T19:31:27.435151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac21083d-f325-45e4-b4b5-56b45713ee5c · inbound

C-NAV: Towards Self-Evolving Continual Object Navigation in Open World cites this paper.

C-NAV: Towards Self-Evolving Continual Object Navigation in Open World ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:35:52.489654Z

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.

Observation dbbe9d28-8709-4a3c-a5f3-bc18c3e1c024 · inbound

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models cites this paper.

The Blind Spot of Adaptation: Quantifying and Mitigating Forgetting in Fine-tuned Driving Models ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:15:50.134782Z

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.