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Paper Citation Record · LEDGER

Continual Instruction Tuning for Large Multimodal Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2311.16206.

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

pith.paper-citation-record.v1
2311.16206 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:37:28.628380Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:52:40.157811Z

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 a7dbcca2-4cd0-4268-8968-12e29b1426bd · inbound

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

Modality-Inconsistent Continual Learning of Multimodal Large Language Models Continual Instruction Tuning for Large Multimodal Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:52:40.160706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T06:50:12.315919Z digest=sha256:63d122fe22e65665feaeb07c8c12c0ebd363d14645e5ddf8a1751b8591f54802

Observation 4904d7d8-9b36-4b90-8fbc-a409f9e4a06b · inbound

Efficient Few-Shot Continual Learning in Vision-Language Models cites this paper.

Efficient Few-Shot Continual Learning in Vision-Language Models Continual Instruction Tuning for Large Multimodal Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T23:37:28.628380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T23:37:28.628380Z digest=sha256:df93582421fb87f80fc92fc6ce201ddb4a2a36d0211fc8b8085bf9803abe352d

Observation 7bffd03c-512e-47f9-9929-e4754254ee90 · inbound

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA cites this paper.

Enhancing Multimodal Continual Instruction Tuning with BranchLoRA Continual Instruction Tuning for Large Multimodal Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:09:04.758402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:09:04.758402Z digest=sha256:e4cf5cf0c76adbae328f374e34b1f7e831946b641764969aad70a2f5bae1ca9d

Observation fbbd6491-6ad2-4997-b957-51fb5f8e4fab · inbound

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning cites this paper.

Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning Continual Instruction Tuning for Large Multimodal Models

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-07T04:09:29.746045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:09:29.746045Z digest=sha256:c94aaffd14145e8b24d450ad53f9de4f598baa3f792165b130c3875c93f20e9d

Observation d0b42821-790e-4063-9c0b-b96a429b82e5 · 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 Continual Instruction Tuning for Large Multimodal Models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:22.248079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:22.248079Z digest=sha256:2c3ab5493529fd8e39b81fbba025c0e837d313f38ee02369321a162d3ab84f48

Observation e2b33d26-f614-4f2f-88d2-49433c214497 · inbound

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence cites this paper.

Dynamic Context-oriented Decomposition for Task-aware Low-rank Adaptation with Less Forgetting and Faster Convergence Continual Instruction Tuning for Large Multimodal Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-07T00:43:51.674160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:43:51.674160Z digest=sha256:a1c21c1d3ba68bf7504a250a337a8c3461a956606650cdf13bbe294be5c8bd42

Observation 60b676ca-e899-47ab-8147-e8d331770fe5 · inbound

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding cites this paper.

Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Continual Instruction Tuning for Large Multimodal Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:09.653163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:20:09.653163Z digest=sha256:4a998aae2fff2f81a51a8569583540c06efcd4aacbe5c892c82f4f117491c9ff

Observation 02372aff-844f-4e71-8370-72ec0917cdeb · inbound

Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models cites this paper.

Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models Continual Instruction Tuning for Large Multimodal Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T10:21:21.366736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:21:21.366736Z digest=sha256:379b00db7e4513e237485149b84e904a5dc294258c0d19c3199ab038fe6953bb

Observation 0c144d05-5bea-47f1-84f2-301d4da26882 · inbound

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models cites this paper.

Beyond Reasoning Gains: Mitigating General-Capability Forgetting in Large Reasoning Models Continual Instruction Tuning for Large Multimodal Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T08:15:51.039189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:15:51.039189Z digest=sha256:d46a37d66b392ffd43d03aca461548b387d0a0272b46ea4de030c1d02b5e1bde

Observation b850f27a-3092-4046-a3d5-bede79ee558d · inbound

Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs cites this paper.

Harmonious Parameter Adaptation in Continual Visual Instruction Tuning for Safety-Aligned MLLMs Continual Instruction Tuning for Large Multimodal Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-03T20:25:11.549005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:25:11.549005Z digest=sha256:6120c068ee3c346a88761d7392a0429161a820fdb79aaff262312b99530c984b

Observation a8ce31a6-690e-4ae5-af83-c8351289c7d7 · inbound

PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning cites this paper.

PASs-MoE: Mitigating Misaligned Co-drift among Router and Experts via Pathway Activation Subspaces for Continual Learning Continual Instruction Tuning for Large Multimodal Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-03T09:44:13.524638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:44:13.524638Z digest=sha256:a4a43bc89c51ec20059605da98d35c5edb67909515282d698552e06b30411d3a

Observation 10028ab9-ba7f-4daa-8812-18c8555d4015 · inbound

CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging cites this paper.

CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging Continual Instruction Tuning for Large Multimodal Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:09.722350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T12:22:11.995334Z digest=sha256:23cba13d622a303451cc7f6460ca24335d42b05f9121e3886032f47ff4701689

Observation ae4617ef-49a2-4073-aa52-e6ccaec248a8 · inbound

Progressive Multimodal Alignment for Continual Instruction Tuning cites this paper.

Progressive Multimodal Alignment for Continual Instruction Tuning Continual Instruction Tuning for Large Multimodal Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-30T16:11:48.356911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T16:11:48.356911Z digest=sha256:ed3c6088b639108ebc5295ab7c6b1919509156311332c511991c21cac2c033b6

Observation 91896463-e806-4074-8976-cab9ab97d71a · inbound

Progressive Multimodal Alignment for Continual Instruction Tuning cites this paper.

Progressive Multimodal Alignment for Continual Instruction Tuning Continual Instruction Tuning for Large Multimodal Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T01:24:00.987721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:24:00.987721Z digest=sha256:c643aafc5a0619dcd59331b930b6c1d7f6acdc5d5d1eca57a157fa341a06919a