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Paper Citation Record · LEDGER

Error-driven Data-efficient Large Multimodal Model Tuning

As of 11 August 2026, this Paper Citation Record lists 88 of 88 outbound references and 0 inbound Pith citation observations for arXiv:2412.15652.

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

pith.paper-citation-record.v1
2412.15652 v1

Coverage vector

measured 88 of 88 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:18:36.313017Z

measured 88 of 88 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

88 of 88 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved82
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59bd9bd6-65cd-4446-9081-f6f2ae5b8239 · outbound

This paper cites GPT-4 Technical Report.

Error-driven Data-efficient Large Multimodal Model Tuning GPT-4 Technical Report

Reference 1

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source=arxiv_source observed=2026-08-11T11:18:29.542848Z digest=sha256:927d8a6c34124e56fe96d4a2276c78dfcb45c830228d2767fcf42abbeaae9de3

Observation 502c660b-9abc-472c-9b00-c8827d543e98 · outbound

This paper cites RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.

Error-driven Data-efficient Large Multimodal Model Tuning RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Reference 2

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Observation 96ead836-13cc-4f9e-b32a-2527001a4bcd · outbound

This paper cites Learning From Mistakes Makes LLM Better Reasoner.

Error-driven Data-efficient Large Multimodal Model Tuning Learning From Mistakes Makes LLM Better Reasoner

Reference 3

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source=arxiv_source observed=2026-08-11T11:18:29.751918Z digest=sha256:c31798a20968b994b423c483bfe39a389f52ee9b5b122c2c7c3feca9bd292648

Observation 0751aa38-db9f-4b68-8ac1-fd6eed36c4a2 · outbound

This paper cites A data-centric approach to class-specific bias in image data augmentation.

Error-driven Data-efficient Large Multimodal Model Tuning A data-centric approach to class-specific bias in image data augmentation

Reference 4

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local_arxiv, observed 2026-08-11T11:18:37.657401Z

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source=arxiv_source observed=2026-08-11T11:18:29.843914Z digest=sha256:d23ddc94c5653f3c3de40b672a06a71bb47bcd0af952981827209bd863ea5ea3

Observation a537fea8-3bcd-4c35-bb28-bc6793c00b75 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Error-driven Data-efficient Large Multimodal Model Tuning Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 5

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source=arxiv_source observed=2026-08-11T11:18:30.035097Z digest=sha256:58a774e60c31c18c6a66a138785b71ed212a9a0282fc8723aba4fa3123280a7c

Observation 83832f5c-672c-42d1-b762-99f1440b02fd · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 6

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source=arxiv_source observed=2026-08-11T11:18:30.126725Z digest=sha256:bd49567b5370bfc889ddacda1e122a61ba172e90d3eb3d1f04c710fef00eb476

Observation be5263dc-ade1-46bf-8b33-383cc1f09a26 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 7

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source=arxiv_source observed=2026-08-11T11:18:30.194422Z digest=sha256:0087ae3fe713651500a54c5a1f6c13065cb25352f2178dab21cb30abbfae56ba

Observation f87f42a2-bbc4-4aa5-832a-e658dacf63b7 · outbound

This paper cites Language Models are Few-Shot Learners.

Error-driven Data-efficient Large Multimodal Model Tuning Language Models are Few-Shot Learners

Reference 8

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source=arxiv_source observed=2026-08-11T11:18:30.260883Z digest=sha256:e0d44eabbe8c6e3e76201e6cdedaeca18593ae50c1a973a4fdc922b2ae87c36a

Observation 7f4f4d10-6883-4859-a4f7-a641f1f87555 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 9

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source=arxiv_source observed=2026-08-11T11:18:30.401004Z digest=sha256:34c59d1fde85def64689fccaa90a043feb0c4194ddf526d187c05a5afc09b882

Observation 61ab7e39-3c4a-4dca-927c-98c837056d55 · outbound

This paper cites Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Error-driven Data-efficient Large Multimodal Model Tuning Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation

Reference 10

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source=arxiv_source observed=2026-08-11T11:18:30.538449Z digest=sha256:08b89cb6f82c28e6a08bc4d09e907e4ea11da02e57b4a4d9baf6c0f406c80b37

Observation b66a871e-6c68-424e-b3e8-f8c95c44b5c5 · outbound

This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

Error-driven Data-efficient Large Multimodal Model Tuning AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 11

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Observation 7ef5cc08-1c9c-4864-ae67-de92eaa2b551 · outbound

This paper cites Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Reference 12

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Observation 498992c3-92bf-4017-a872-b752d3c0ae29 · outbound

This paper cites AugGPT: Leveraging ChatGPT for Text Data Augmentation.

Error-driven Data-efficient Large Multimodal Model Tuning AugGPT: Leveraging ChatGPT for Text Data Augmentation

Reference 13

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Observation 47077c04-7d8b-41be-b03f-26ad4c5d2011 · outbound

This paper cites Towards Multimodal In-Context Learning for Vision & Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Towards Multimodal In-Context Learning for Vision & Language Models

Reference 14

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Observation 33e1170a-a280-48c7-9f1f-fcc96bc684a9 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 15

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Observation 2d452891-5ae7-4c43-881e-2d47e1d6387b · outbound

This paper cites A tale of tails: Model collapse as a change of scaling laws.

Error-driven Data-efficient Large Multimodal Model Tuning A tale of tails: Model collapse as a change of scaling laws

Reference 16

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source=arxiv_source observed=2026-08-11T11:18:31.121160Z digest=sha256:db89756e984c0751f76577e2193bd5392aa1609e648f26661e4b5bf0a9c3e336

Observation 3611be02-f771-480b-b890-619ce7aa6d04 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 17

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Observation 6437eeee-f8bc-4cfd-96a4-3fea8fbbbb42 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 18

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Observation 7b7b0fb6-453b-4150-86e5-47d18e3c116d · outbound

This paper cites Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

Error-driven Data-efficient Large Multimodal Model Tuning Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Reference 19

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Observation 16dc6b49-b0b5-441d-9674-97f733be16a6 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 20

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Observation 00c74465-8c88-4db0-9a06-cd0e9bb178db · outbound

This paper cites Understanding In-Context Learning via Supportive Pretraining Data.

Error-driven Data-efficient Large Multimodal Model Tuning Understanding In-Context Learning via Supportive Pretraining Data

Reference 21

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Observation 74419b3e-2fae-4afb-b04a-c1f1bdd93512 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-11T11:18:31.301027Z digest=sha256:0b039e3dd3e4ba5affe30ddc9055bee847364ee07c6624fde8b7d91eb405bd42

Observation 4627a671-36ce-4381-9862-c03137eb95c3 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-11T11:18:31.319732Z digest=sha256:c73d2cbde00985d834720ec3dd16a817035ece6355f92360b4dc13580a1b4169

Observation 5ab54576-f894-4307-a2c7-413cd260af69 · outbound

This paper cites Many-Shot In-Context Learning in Multimodal Foundation Models.

Error-driven Data-efficient Large Multimodal Model Tuning Many-Shot In-Context Learning in Multimodal Foundation Models

Reference 24

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Observation 57d0fb07-0774-4556-98a0-8a598d34227c · outbound

This paper cites GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training.

Error-driven Data-efficient Large Multimodal Model Tuning GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

Reference 25

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Observation c7ce0d31-5872-4009-8c5f-b14de9bdd018 · outbound

This paper cites ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks.

Error-driven Data-efficient Large Multimodal Model Tuning ScreenerNet: Learning Self-Paced Curriculum for Deep Neural Networks

Reference 26

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation d50475c8-da21-4411-a91b-59fc7130e643 · outbound

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-11T11:18:31.707056Z digest=sha256:1d3f65d412eeb731c0a95924e44ca81c7b558ceca33264cf9e545dc042b90dbf

Observation ad1bb8dd-a419-49d5-a052-79b6907e913d · outbound

This paper cites Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

Error-driven Data-efficient Large Multimodal Model Tuning Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 28

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Observation 674b7145-a253-4d67-ad88-29d0f103c647 · outbound

This paper cites Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks.

Error-driven Data-efficient Large Multimodal Model Tuning Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks

Reference 29

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Observation 54d4abf3-4a7f-4b46-a4b2-07ccf9c00379 · outbound

This paper cites LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.

Error-driven Data-efficient Large Multimodal Model Tuning LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Reference 30

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Observation bf8a7d50-caed-418a-89e5-0f66658d4704 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 31

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Observation 9e03463c-dc7a-4dfc-9543-94655fca8ffc · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Error-driven Data-efficient Large Multimodal Model Tuning LLaVA-OneVision: Easy Visual Task Transfer

Reference 32

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Observation ea85da49-a6c1-461a-96fb-766bb839cd40 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 33

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Observation 65dee9d3-2a82-4d66-97b0-c95bde10bdf5 · outbound

This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 34

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Observation 4f503afc-a847-4058-a9a4-818126d23a1c · outbound

This paper cites The Role of Data Curation in Image Captioning.

Error-driven Data-efficient Large Multimodal Model Tuning The Role of Data Curation in Image Captioning

Reference 35

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local_arxiv, observed 2026-08-11T11:18:36.475525Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 6f95edcf-8072-428a-945b-a44e34ee6e7a · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 36

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Observation 0ce65bbd-4d53-4002-8db4-da54b469b4fe · outbound

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Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 37

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Observation 6b5e5e7c-cd16-487b-a36c-edc45859f66a · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 38

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:32.435145Z digest=sha256:1333651953fd1b07359bead1a199b13def9055c68e2bee71163c7e12462dd229

Observation d662c3bc-46d6-4950-9c37-62ea3c205996 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:38.309312Z

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=2026-08-11T11:18:32.588553Z digest=sha256:0e6534bcdd8f8a6898e68f7e30834dc6dabf278cf3d3f5dc1fd40e66f115b9a3

Observation 2ce0241e-971f-40ff-93c8-87339c26f392 · outbound

This paper cites SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection.

Error-driven Data-efficient Large Multimodal Model Tuning SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection

Reference 40

Resolution
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no resolver link, observed 2026-08-11T11:18:32.818346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:32.818346Z digest=sha256:4433f3032c8f6eaf02eca6d3c883b4fd1cdb75d25ab2cfcde63545787598e957

Observation 216ab578-24bf-42b6-95ce-3b6c81033c6e · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player?.

Error-driven Data-efficient Large Multimodal Model Tuning MMBench: Is Your Multi-modal Model an All-around Player?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:32.955524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:32.955524Z digest=sha256:cc83d8cd4c7ccb90d9060d31f3701746a94eaec16dc9577ccba7a29f7d28e7dc

Observation 9fb622e7-b2d1-4e35-99ea-02a9b116020e · outbound

This paper cites Less is More: High-value Data Selection for Visual Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning Less is More: High-value Data Selection for Visual Instruction Tuning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.040213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.040213Z digest=sha256:ea59a615888553c50d28fb9489c3c28f8f80d18d50bcfa7d089d86f3623c5b55

Observation b09ded32-d979-4951-80d3-10af61a35e73 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.130713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.130713Z digest=sha256:f9e0c40fad163369171cd6e403e34f24b3358f95b39f10fa469440e5ab4a955d

Observation 667dd2e7-2fb0-4e3d-90d6-b3d9f8b0d8e7 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.222134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.222134Z digest=sha256:04ca0513703278514615499e8fbe919e57d05b0dd2cf649ce2426d2fc37e2cd5

Observation 15e65d40-99cb-4c92-a3e5-226078ac0763 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:38.188161Z

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=2026-08-11T11:18:33.321274Z digest=sha256:6ac98d5c43d27fff90e81155f5cd64b7e463599c71d0d5e368d91b6be848a004

Observation 1b2cf0f5-bd7f-4514-bc62-085f04d82d14 · outbound

This paper cites Teacher-Student Curriculum Learning.

Error-driven Data-efficient Large Multimodal Model Tuning Teacher-Student Curriculum Learning

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.449700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.449700Z digest=sha256:41991aa69bb21b61358579f5c65bf404f89f6dd35d60d2eb7254c294bb460394

Observation afeae7be-cc70-4b9a-bd36-59c49d5e88aa · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:38.175783Z

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=2026-08-11T11:18:33.527172Z digest=sha256:89f796334e3165247377f000e9ac823fe51f0aae1129803b953b6440e04f408c

Observation 60719554-ca92-453e-9c60-d13603a36822 · outbound

This paper cites Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation.

Error-driven Data-efficient Large Multimodal Model Tuning Learning to Generate Instruction Tuning Datasets for Zero-Shot Task Adaptation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.595166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.595166Z digest=sha256:266cb270edf8cca7d7e951d1f0e7be54b41400978f77e8e2dca4608790219827

Observation c548d4c3-fae7-407a-b2c9-c55d68c1b059 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:38.159969Z

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=2026-08-11T11:18:33.648636Z digest=sha256:ab72aa71555826d5cbf5983fa85f267b3eadb89a6d6efd4f05513286ad8f9336

Observation bc69375c-5a82-4067-9198-c21c2f917e67 · outbound

This paper cites Coresets and Sketches.

Error-driven Data-efficient Large Multimodal Model Tuning Coresets and Sketches

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.697699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.697699Z digest=sha256:37248082eb8f3d9aa7c2dd4ecfa36ad221bca6dd369a2fbb3592618a8afb489b

Observation 6344f884-17ee-4a77-bd79-99baa3e92330 · outbound

This paper cites The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.773378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.773378Z digest=sha256:c7bb7db462f18366f84a64379e5d5ad27c409e9915d150b5eb6b0b999d96c0b0

Observation fc988ede-1ba8-458c-a6f8-59b10331de5b · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:33.816260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:33.816260Z digest=sha256:e5b0f81d87b2cc3b79a8f8150b22eec7b7288bc1c12a2fec236808ba419033fb

Observation b4538710-a778-4376-95b3-5b86f4cf3338 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:38.130890Z

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=2026-08-11T11:18:33.991364Z digest=sha256:95290126e80148b64a1f81ea05526389b1cd18c0238272711388be3c9f9f7280

Observation 2059d5aa-660a-4ec1-81e8-3a7aa4de4aa5 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Error-driven Data-efficient Large Multimodal Model Tuning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.078033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.078033Z digest=sha256:c8f6d895bebd8bfc19654e769d5563e78b0dec44f7f6d2e82166c028c31711af

Observation f694ba2e-dbe8-49f4-8ca6-6613b0d14394 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.251790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.251790Z digest=sha256:caff76b64213bc112154ee092936f5f659a6bd1dff3b9a4a229f1dcc0629899f

Observation aa3a9087-e05f-464e-9873-f54db7c09751 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.379138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.379138Z digest=sha256:f1171781356f9de1358e137b7c088cbd562e29ce10a69ce0700e068d3822bc5d

Observation 435ba5c0-0d0c-410f-a4d0-eb1cc2c08cdc · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Error-driven Data-efficient Large Multimodal Model Tuning Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.483548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.483548Z digest=sha256:99984f48e8bab34b2f8a98638832f709113df4325452f143b6acfe556a320985

Observation 3a7c75a5-909e-4ade-9978-2d2220e070d3 · outbound

This paper cites Multimodal Instruction Tuning with Conditional Mixture of LoRA.

Error-driven Data-efficient Large Multimodal Model Tuning Multimodal Instruction Tuning with Conditional Mixture of LoRA

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.569431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.569431Z digest=sha256:ce5aff8bce16c3732e11af576ee492e51e9441c1f59a91ba166606ef08db5e0c

Observation 3bf44a97-f29c-4d18-aa5a-540dc383d378 · outbound

This paper cites The Curse of Recursion: Training on Generated Data Makes Models Forget.

Error-driven Data-efficient Large Multimodal Model Tuning The Curse of Recursion: Training on Generated Data Makes Models Forget

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.697632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.697632Z digest=sha256:a94d41cf9833a52aff9c5a0c07e89f0069d6d38649c5c5998314eb6b75202197

Observation bcfe6a0c-0fd5-46e9-8af0-c428284e72f8 · outbound

This paper cites less is more.

Error-driven Data-efficient Large Multimodal Model Tuning less is more

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.785450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.785450Z digest=sha256:fe78874b4d9abfcff898789740f9f8004cc263cf5900e575575105af191a9e4d

Observation f5c4d211-200e-4f3e-b219-436def517b71 · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

Error-driven Data-efficient Large Multimodal Model Tuning An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:34.885180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:34.885180Z digest=sha256:fd010c7c82f9134b6fa0e7f85afcdb48068565c1223f24dc11a5a108565e8aa4

Observation 2a25a334-7bcd-4438-a130-1635d1cd73f4 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:38.083369Z

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=2026-08-11T11:18:34.971723Z digest=sha256:694752059f1d52397bc329bec6e20f90641c38a7d93d7c234ee6fdbeb39c90ed

Observation b5020b83-286b-467c-982c-236f76503507 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:37.933640Z

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=2026-08-11T11:18:35.048004Z digest=sha256:259c72101604a97475f3695566cde3177a3a9a9d87238f916b0ed68a44e51af0

Observation a0d322c3-7ddf-488a-92d3-30cc829093b1 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Error-driven Data-efficient Large Multimodal Model Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.125284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.125284Z digest=sha256:d9aa2c2a81e4b8c1536a9bc2e60f9a5d627aa506c21e57e491f0b8e830f177b6

Observation dd4af343-80ad-429e-9290-ec39c01783b8 · outbound

This paper cites Targeted Augmentation for Low-Resource Event Extraction.

Error-driven Data-efficient Large Multimodal Model Tuning Targeted Augmentation for Low-Resource Event Extraction

Reference 65

Resolution
verified exact
local_arxiv, observed 2026-08-11T11:18:36.875301Z

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=2026-08-11T11:18:35.195201Z digest=sha256:d01b30de00626bb5e98420b7bbf8c9e794c3a1fd89f839da26cba4bcb7a8d62b

Observation 12a41e6b-f95f-4888-aab3-327106820520 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.270768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.270768Z digest=sha256:73ce6fa941f36302fd29511ce842d9f881e923a037d8dc1191338450897d3835

Observation ce47fc5a-8e0d-4388-a1f8-7ece4d3a7a3a · outbound

This paper cites Emergent Abilities of Large Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Emergent Abilities of Large Language Models

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.357071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.357071Z digest=sha256:e2f2b8b4e3de81e926b72dbbaa4b58ff9741f76903f384bec1610b1871022c12

Observation d907da62-6237-4122-bedf-aa6fbfd84cc7 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Error-driven Data-efficient Large Multimodal Model Tuning Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.574328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.574328Z digest=sha256:113940262cb0f93a51cd3055812f263f99d3c8a7a2c3bb480d137e16bf6ad10c

Observation 6534863e-8749-4266-9e39-a0c25fb2a161 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.605471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.605471Z digest=sha256:36ad418569002c0c3872740d67df3dbb9fe76a8036e26597ac418e0c45902d94

Observation c249a302-567d-49ea-a5f7-c1bb3654e406 · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.618509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.618509Z digest=sha256:ad3b31ae16d93040607f0c0e04adb917fa27151271a361d32869779d96aced1b

Observation 5b5803ed-e612-4788-adc5-db6412a8fda5 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:37.859840Z

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=2026-08-11T11:18:35.623284Z digest=sha256:5d42223511f5e0d013bc996a88449fc52ddaf7776ae130c2781718c2d07bcf8d

Observation 00868247-cc74-4295-8907-727268ca5f79 · outbound

This paper cites LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback.

Error-driven Data-efficient Large Multimodal Model Tuning LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.661984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.661984Z digest=sha256:891e0418c4b5eb785d380c0d7bf206c1fd953908958af326962c7a3c5e024ae2

Observation 91456423-fd33-4212-b3bb-c03357759183 · outbound

This paper cites Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.752639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.752639Z digest=sha256:c6e0266f35e947b1c4c91498271fe858a8f75d40147def79d6ea07c36b6cdfb7

Observation 4a576643-f4d7-4392-9e30-84e5d858675d · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:37.844906Z

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=2026-08-11T11:18:35.814140Z digest=sha256:08c30411b23db6688ef1dc6ccf75ff9f90cd26832b976feeda986e2f397925ee

Observation b12bfbe8-7a8c-43a0-a180-5215ad5abdc9 · outbound

This paper cites MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning.

Error-driven Data-efficient Large Multimodal Model Tuning MultiInstruct: Improving Multi-Modal Zero-Shot Learning via Instruction Tuning

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.819567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.819567Z digest=sha256:3cbe18bdaee42a7bf8e94c139df80f71d4fcf2d0141964f01a60fd307ba8bb96

Observation 79b86308-ce03-4b75-b3ec-1a751303a4e9 · outbound

This paper cites LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning.

Error-driven Data-efficient Large Multimodal Model Tuning LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.824564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.824564Z digest=sha256:51f51c3d2a8ac5b391babb37fbf087c1ad30f5fa62abaac229b4bee3db36f614

Observation 53543478-6a96-4a27-bf01-ae481adfb4ab · outbound

This paper cites Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation.

Error-driven Data-efficient Large Multimodal Model Tuning Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.830611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:35.830611Z digest=sha256:c40c3f8d3e9e5cbfcebac8b5cc23c2b3641da253a85c0d0cedc4b0c54e6f5e9e

Observation 868fcbe3-7a17-4c72-bf83-bd406355b332 · outbound

This paper cites AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes.

Error-driven Data-efficient Large Multimodal Model Tuning AMELI: Enhancing Multimodal Entity Linking with Fine-Grained Attributes

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:35.835904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3c5f6611-d028-4253-976f-2c6e394e6f0b · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 80

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unresolved
no resolver link, observed 2026-08-11T11:18:35.911096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dfdf7c73-b0c0-4137-9256-02c6d12a1a47 · outbound

This paper cites MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities.

Error-driven Data-efficient Large Multimodal Model Tuning MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:36.009995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f4c5ccf7-664d-4e9d-b1c0-7496d4af746b · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

Error-driven Data-efficient Large Multimodal Model Tuning MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 82

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unresolved
no resolver link, observed 2026-08-11T11:18:36.136897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d057f1d-9e55-4c6c-a8ee-f70cb651424e · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:18:37.820821Z

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=2026-08-11T11:18:36.143521Z digest=sha256:cece5d79a88009854d545e968ef41f9df6cc5423a6c9cbb42ed29f7ce5666b16

Observation 24c92789-2acb-4a7f-a46b-009bd64377b1 · outbound

This paper cites SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning.

Error-driven Data-efficient Large Multimodal Model Tuning SELF-GUIDE: Better Task-Specific Instruction Following via Self-Synthetic Finetuning

Reference 84

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unresolved
no resolver link, observed 2026-08-11T11:18:36.149022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:36.149022Z digest=sha256:cf568ff0f200c5379efd4c6f790d71cd283c6de40dd14e4a5f6d2032d45890bb

Observation b0b96954-b851-409c-8d63-955f851ffe3e · outbound

This paper cites MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

Error-driven Data-efficient Large Multimodal Model Tuning MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

Reference 85

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unresolved
no resolver link, observed 2026-08-11T11:18:36.156440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:36.156440Z digest=sha256:cb135eb790e4645c51a30c23a74b0695560cc3318b7e97b9f46cbc1dbb7014df

Observation 701e0841-de9c-4727-9d8f-89b27a75bf17 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:36.184245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:36.184245Z digest=sha256:41bdf293c47c30128b3eb97c8f7d5abaf9e4850d4f38a302e01280ad3649369d

Observation 01cd7e82-280f-4a01-a65a-27d8ffd404a3 · outbound

This paper cites an unresolved cited work.

Error-driven Data-efficient Large Multimodal Model Tuning Unresolved cited work

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-11T11:18:36.277215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:36.277215Z digest=sha256:de41431a72ddd0ea9103fcaa09000fbd5a14823d98c2d077c5a5611e880fbb01

Observation 52e73df0-8696-4416-bcbd-103a50a328c9 · outbound

This paper cites online" 'onlinestring :=.

Error-driven Data-efficient Large Multimodal Model Tuning online" 'onlinestring :=

Reference 88

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unresolved
no resolver link, observed 2026-08-11T11:18:36.307821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:36.307821Z digest=sha256:db1d0cde2a12e8cc506b46a815470a1b8dd774012f9f08d8cb68acffc149d4b1

Observation 2785296a-3c9c-4646-986c-4d1da57a320d · outbound

This paper cites write newline.

Error-driven Data-efficient Large Multimodal Model Tuning write newline

Reference 89

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unresolved
no resolver link, observed 2026-08-11T11:18:36.313017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:18:36.313017Z digest=sha256:629fa060bbe3fbe66cc77ec40d3c47c73eae079133deb3cd726b96de206bdb01

Pith citing papers

No inbound Pith citation observations are available.