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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:03:45.527147Z

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-23T06:50:12.315919Z digest=sha256:d1b1bae57bc4c9f88e7a81a13af64a6fae943d4dc4817ac9e9a943d81236d13b

Observation f7d8496a-3075-4661-9acc-79d28e461897 · inbound

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation cites this paper.

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T21:03:45.527147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:03:45.527147Z digest=sha256:8f3c2f0d59b90bce35e09c15df4da199a57249caf86c0bd5772a97be8641b23d

Observation 03bdeb5d-f625-4810-8f9e-5c5162c09399 · inbound

Continually Evolved Multimodal Foundation Models for Cancer Prognosis cites this paper.

Continually Evolved Multimodal Foundation Models for Cancer Prognosis ModalPrompt: Towards Efficient Multimodal Continual Instruction Tuning with Dual-Modality Guided Prompt

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T00:29:02.023372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:29:02.023372Z digest=sha256:1707a3ea53b006a4f9922c4379fc70ebd2882af6fcd88824dca15b2bf75998d0

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.

source=pdf_text observed=2026-08-07T05:10:48.428757Z digest=sha256:86db84862e917c27d465d831076d44c10153c472b577f116cbe832357762522b

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.

source=pdf_text observed=2026-08-07T00:40:36.499204Z digest=sha256:8b6d106764dd9b259aa1c540ed143fb6f2eb0061f92763731256f2026028a794

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.

source=arxiv_source observed=2026-08-06T19:31:27.435151Z digest=sha256:bab7f42492e466b54bf580412031d590f6332ad4699c756c88dafe41602eda96

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T04:33:13.564547Z digest=sha256:f9cc9434a3351704eb385a432ed36006a8c8ed3a1059eab66a76f21012dec1a1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T20:04:46.144856Z digest=sha256:1a0adf0633539591b303abab8c4f9871b2b531fb74e743b8c75dac982fb73aee