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Paper Citation Record · LEDGER

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 30 inbound Pith citation observations for arXiv:2212.12017.

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

pith.paper-citation-record.v1
2212.12017 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 30 of 30 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:37:31.039965Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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  • 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 96f42c8a-bdde-486f-b40e-2b454eb6f8ea · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 24

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metadata mismatch
local_arxiv, observed 2026-05-24T09:14:16.475814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-24T09:13:30.054153Z digest=sha256:8dc19ef6cce4d717a002eedf487da0c689c47dc3e39d555ec52e23124eb1093d

Observation 29bdad5d-433f-4eec-bbac-4775631e3b2f · inbound

SemDeDup: Data-efficient learning at web-scale through semantic deduplication cites this paper.

SemDeDup: Data-efficient learning at web-scale through semantic deduplication OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 44

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metadata mismatch
local_arxiv, observed 2026-05-18T02:43:31.041915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-18T02:43:30.851915Z digest=sha256:18f0cf43097195e6c1ec95719688508c92014c8ee14190a280d9fb2e0e5dfa57

Observation d74c5680-19c3-4b6b-b140-40b8941f64dd · inbound

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face cites this paper.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 11

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

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Observation e78e380e-b98a-49d4-8831-4a43bc45d734 · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 53

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T01:40:53.351795Z digest=sha256:6d249c427dc618db3cb5e0970065dcc20697ba77243c26b144e32e2eb38a98c3

Observation 5f5062e1-4645-4796-bed5-cf24767be539 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:653daee31b597d63c9cf9bc9d5cf61616975548632dd67ad522a3863fb318f90

Observation c45fc5c2-33e2-4aee-a98c-39646075e4f6 · inbound

Visual Instruction Tuning cites this paper.

Visual Instruction Tuning OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T08:22:03.403362Z digest=sha256:2e0b8fa94fdbb89438e680b591b99ec25ff358c70c80964a55740a1d88dc9120

Observation 53716bd5-2d44-40d2-806e-ae18384a23a3 · inbound

QLoRA: Efficient Finetuning of Quantized LLMs cites this paper.

QLoRA: Efficient Finetuning of Quantized LLMs OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 29

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T13:29:53.345251Z digest=sha256:08eb83faa431cf5154d6ca94a20225cd386f53ad997222e673f44ea13038a17c

Observation 53da2b43-5204-44db-b4bc-c86331d3cd61 · inbound

Gorilla: Large Language Model Connected with Massive APIs cites this paper.

Gorilla: Large Language Model Connected with Massive APIs OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T23:22:16.879418Z digest=sha256:076ac08f3b5a2b5ac70d7f610182f33a04918e796040064c03dabdef96a0e07e

Observation e5efd435-52a0-4331-adc5-f398a58c558b · inbound

A Survey on Multimodal Large Language Models cites this paper.

A Survey on Multimodal Large Language Models OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 98

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-16T02:56:41.658658Z digest=sha256:0ce16b08eb41a72f5eab6ccd5f1745a0930e72d22fdf2622a5bef7420aafef5d

Observation 80bd9331-7b60-4e50-a0c8-6d807d3131b9 · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-05-19T20:28:39.342665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:8acdff574a1a63421b0f7c56d2d439b516ddf755d40e17cbff2fc49f0a5d85e8

Observation f0fcb6ac-1905-42a8-9af1-9be845ae030b · inbound

The Rise and Potential of Large Language Model Based Agents: A Survey cites this paper.

The Rise and Potential of Large Language Model Based Agents: A Survey OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 266

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T10:47:44.152066Z digest=sha256:be5a92d2291ce5faffba81dd8ab260bca853997b7e178317bcf7511c008667a9

Observation c42390f7-3218-4a89-a36f-bc413bb8acd8 · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:375c49b8c3d2f7e092372a78d61a8f9b193e442ebf4aa1325767e3bfb6ed19d4

Observation 8e67c4ef-6270-4f8c-8df3-2fbfee05dba2 · inbound

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers cites this paper.

EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 145

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-16T06:11:49.475825Z digest=sha256:3e09cb8d8e2dfd74d9f751d02579ef8d7cdd223df8d9b9a58a73a6ccca40764b

Observation 1732e5bc-3bce-4503-970e-21d08a3c5b11 · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 134

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:f205d728d9c273e5828a8eb4b3071936a127c03e6a411402b1ab09768118b72c

Observation b9509c37-137a-4f8e-b156-24fccf42a9d2 · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-13T12:01:42.290502Z digest=sha256:69f424a5d791c2f2843860fd4defef422506d7e68d4b637b5bca65c6c4aa68e8

Observation 669496c5-0a7d-4a48-9f23-d9bb99cf1067 · inbound

Large Language Models: A Survey cites this paper.

Large Language Models: A Survey OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 103

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-11T15:22:54.023279Z digest=sha256:8ba284a1c963848209664a24fe67079fcc2a9d5484d38d973df7b1dc93e5c9b1

Observation c89d2a5d-f512-4096-aacf-e4867517b067 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 116

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:30d846fc574a421a617a1ee2f69ca407dc73ddcccc364b633343e496370e6c82

Observation 1e1c7689-8944-4c4b-9212-a6bcd9f9ec9b · inbound

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs cites this paper.

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 12

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verified exact
local_arxiv, observed 2026-05-23T19:35:47.132000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-23T19:35:29.917096Z digest=sha256:a248942778501e126620c5403ca523285c94340cd70a653fa41b96214c025908

Observation 6a8e24f7-d939-4a4b-ba48-64164223fd04 · inbound

Music Audio-Visual Question Answering Requires Specialized Multimodal Designs cites this paper.

Music Audio-Visual Question Answering Requires Specialized Multimodal Designs OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-19T14:12:22.012102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-19T14:11:52.011626Z digest=sha256:874ebd7392c02e565f74390be83c9b752f9a8a79823daf61121472f774a2941b

Observation c43b36b4-659b-49f4-8d28-9b2fcde91659 · inbound

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI cites this paper.

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 34

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verified exact
local_arxiv, observed 2026-05-22T12:21:31.113971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-22T12:17:59.458633Z digest=sha256:bf9d4e958ef37a33937cf69f95b395deea265f05a807e26b67bef4374535a61d

Observation a3078a15-9815-4d0f-a917-38f7b8e95251 · inbound

MetaLint: Easy-to-Hard Generalization for Code Linting cites this paper.

MetaLint: Easy-to-Hard Generalization for Code Linting OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 18

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verified exact
local_arxiv, observed 2026-05-19T04:12:02.965864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-19T04:07:31.283348Z digest=sha256:a5a46135e2e5ea492bf55a017b6c3486e331be0a6ec24498d214c87cf59513a7

Observation 1c035387-8e13-460e-87ed-a18698a8551c · inbound

DeepSeek-OCR: Contexts Optical Compression cites this paper.

DeepSeek-OCR: Contexts Optical Compression OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 15

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-12T04:35:50.647950Z digest=sha256:2ef220ce12258108189037510ba752a438331a65d7eeb1afd2742d0e918c37e3

Observation 0dea1072-864d-49ad-9cec-877e79f48da5 · inbound

Identifying Bias in Machine-generated Text Detection cites this paper.

Identifying Bias in Machine-generated Text Detection OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 5

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-17T00:13:53.847660Z digest=sha256:b704bf141798b1e3f4bcb2b70f4be0fba1e63036c3058f68e1c2258a45e1029d

Observation 5f8c4bb4-2200-4d01-b1b3-b05bc0cac29c · inbound

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training cites this paper.

Dr. Post-Training: A Data Regularization Perspective on LLM Post-Training OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 157

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verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-11T01:57:40.347786Z digest=sha256:c69c4d5517831793b64334be58670c0570f7f552b07b4d3e64007438f9347693

Observation 8033db5b-09dd-4118-99ab-0feb44944afc · inbound

Query-Conditioned Test-Time Self-Training for Large Language Models cites this paper.

Query-Conditioned Test-Time Self-Training for Large Language Models OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T20:04:51.248797Z digest=sha256:d9e485116e2a40f8d1177f7781f5ac4114df8bf79fb6b9b8ad4ce40261175ab7

Observation 8df0a7d8-9f7c-4d4d-8d31-eaf9ed1450d7 · inbound

Query-Conditioned Test-Time Self-Training for Large Language Models cites this paper.

Query-Conditioned Test-Time Self-Training for Large Language Models OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-17T06:08:25.849600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-15T05:53:42.235498Z digest=sha256:14f1b3f032ca907fc2e7e35498cfdeb02b5e45296b37c3bbce94f32ab9c2ad5f

Observation 7224fa41-f00a-46a2-85ec-5ff23a494500 · inbound

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages cites this paper.

Multilingual and Multimodal LLMs in the Wild: Building for Low-Resource Languages OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 129

Resolution
metadata mismatch
local_arxiv, observed 2026-05-20T14:38:21.787786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-20T14:33:36.100966Z digest=sha256:1b90b1edfc3b3baad4f0c9be25489f1662d5cb855d144b9f26953cf84fa77596

Observation b5ae2661-27ca-420a-81ea-e0f5984929fb · inbound

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning cites this paper.

Omni-Perception Policy Optimization for Multimodal Emotion Reasoning OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 156

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T19:20:06.351726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-25T21:31:38.450382Z digest=sha256:c0f80a479e7ef74ba54211426d9dd52c42b840d102c6c801c79443b2ea526526

Observation 16a13994-f77d-4145-9d8e-7c73e27f8361 · inbound

Online Data Selection Is Implicit Alignment cites this paper.

Online Data Selection Is Implicit Alignment OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-07-09T21:36:34.271966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-07-09T21:35:41.947875Z digest=sha256:bbf24418e2e4db4fb87abd0f00fabba3ac9748162454d430ebb960407bb55243

Observation c13d365c-8271-4223-b489-056b06ce9611 · inbound

Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs'Hallucinations cites this paper.

Knowledge Injection Exists in MoE? Exploring Expert-Aware Contrast Decoding in MoE for Mitigating LLMs'Hallucinations OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T14:37:31.039965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:37:31.039965Z digest=sha256:e5a5de592796a334f0e21b6c1715192bf8dcd3e12519dd633018670ed35ba6cf