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Paper Citation Record · LEDGER

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2103.10360.

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

pith.paper-citation-record.v1
2103.10360 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 59 of 59 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:59:48.176736Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:35:46.085118Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation ee382f04-34f1-4bae-bc18-54fd109ba7e6 · inbound

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts cites this paper.

GPTFUZZER: Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 17

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arxiv_id, observed 2026-05-15T06:25:21.013670Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 721dee73-8d36-47e0-ad79-a15ec4e06c07 · inbound

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions cites this paper.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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arxiv_id, observed 2026-05-13T17:08:12.821845Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 0f6e36c1-d041-40e0-a38c-e74bf1b91b45 · inbound

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices cites this paper.

MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 35

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arxiv_id, observed 2026-05-16T16:35:38.059819Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e5e6d3bf-1e68-42f1-af23-7a5a20ad2b4c · inbound

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models cites this paper.

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

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arxiv_id, observed 2026-05-16T02:33:30.269407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T02:33:30.143907Z digest=sha256:63a26b9107b171ca1915bbf82641aee4089b8fec813f3006778f1d8c1b38edea

Observation e415fc6f-9c52-4d37-ad88-4581e49ece8f · inbound

Are We on the Right Way for Evaluating Large Vision-Language Models? cites this paper.

Are We on the Right Way for Evaluating Large Vision-Language Models? GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 13

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arxiv_id, observed 2026-05-12T19:41:44.489792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 548c76d3-7bd6-4735-b652-faf5b02c2518 · inbound

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies cites this paper.

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 13

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arxiv_id, observed 2026-05-13T18:00:53.454048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a4a6cfbf-a7a3-4bff-839d-1b2fdc4c28db · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 11

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arxiv_id, observed 2026-05-15T02:39:33.182136Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-15T02:39:33.007894Z digest=sha256:755a92c36328795c2933f5bd86c45e0070e23c5da076f4b0ab2d3cacaadf72aa

Observation 24dbca9a-01d5-49c8-8a2c-69fcd1baa674 · inbound

LVBench: An Extreme Long Video Understanding Benchmark cites this paper.

LVBench: An Extreme Long Video Understanding Benchmark GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

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arxiv_id, observed 2026-05-19T11:55:30.160646Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T11:55:30.048525Z digest=sha256:20cdbc636258c942c3a3ade14b4bc4f04ffe1933b9934ac0a189e065309d89e5

Observation e42fb667-ce82-4385-aaac-c401a0eecee0 · inbound

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment cites this paper.

CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

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arxiv_id, observed 2026-05-23T18:35:46.087907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T18:35:10.313449Z digest=sha256:9c564c3322832ac2aa0717581a393fd200f4997890545fcb7f58636897c98ba6

Observation 18cbd2d5-fd28-4a41-b845-8182c4755dd4 · inbound

Polymetis:Large Language Modeling for Multiple Material Domains cites this paper.

Polymetis:Large Language Modeling for Multiple Material Domains GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:28:51.646190Z digest=sha256:b88a99ee08fd8839332b99b2ad823c7c4e111421b55f6dae4b77ff8c805a6325

Observation 14985555-59ac-44e1-8547-bda8b4f4c931 · inbound

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment cites this paper.

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 59

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no resolver link, observed 2026-08-12T19:35:30.252384Z

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source=pdf_text observed=2026-08-12T19:35:30.252384Z digest=sha256:6f7993d9f4d9e41c7e97b0ac5304ae3b9a526c4d358345e7377be8e28f02a7a4

Observation b93e790f-35b6-4e8b-9dc7-e1154749b38d · inbound

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization cites this paper.

HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 17

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Observation 15a0200a-20b5-4467-b27f-ff575760e7c0 · inbound

ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis cites this paper.

ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 25

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Observation 24de5703-f677-42d0-a3f8-0c4e18948c10 · inbound

Hymba: A Hybrid-head Architecture for Small Language Models cites this paper.

Hymba: A Hybrid-head Architecture for Small Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 72

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no resolver link, observed 2026-08-12T16:20:32.674221Z

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source=pdf_text observed=2026-08-12T16:20:32.674221Z digest=sha256:57f66e1349a8b86c985e3cf0d604af96852ceacdf0ed56ca8a89e4a0c38a5d1e

Observation 2c35c3ba-cef9-44d7-9c10-1d3dc200050c · inbound

LIBER: Lifelong User Behavior Modeling Based on Large Language Models cites this paper.

LIBER: Lifelong User Behavior Modeling Based on Large Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

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no resolver link, observed 2026-08-12T15:03:43.627402Z

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Unavailable: canonical work link unavailable.

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Observation cf080a25-12de-4938-aca7-8bb72d473f6e · inbound

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation cites this paper.

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 9

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Observation 660fb039-eeaa-4248-bb64-82eb8c5e0c1b · inbound

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges cites this paper.

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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no resolver link, observed 2026-08-11T22:41:13.194752Z

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Observation 2fccf596-c6e1-4f1a-9332-2b0a902e5569 · inbound

Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy cites this paper.

Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 6

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no resolver link, observed 2026-08-11T19:35:29.988212Z

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Observation 61006443-28b9-47f6-aa0f-d826164a39b0 · inbound

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs cites this paper.

Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 19

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no resolver link, observed 2026-08-11T18:44:08.851997Z

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Observation 35681d33-0396-4834-b1c8-35ebfadec266 · inbound

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar cites this paper.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 23

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Observation 75721790-5a38-4600-9399-82918c6f20b9 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 37

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Observation f565f2a7-dd7c-49aa-803e-a6914ddafaba · inbound

EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal Structure and Sequence Representations cites this paper.

EvoLlama: Enhancing LLMs' Understanding of Proteins via Multimodal Structure and Sequence Representations GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 11

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no resolver link, observed 2026-08-11T14:49:54.255909Z

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source=arxiv_source observed=2026-08-11T14:49:54.255909Z digest=sha256:39357c275c4d08c0712e14c4e8103b0e44a748e315d41605d4e913d991afe8da

Observation 69a95772-4efa-4285-878d-c5fc45c32862 · inbound

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning cites this paper.

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

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Observation dfc0bfd4-2231-4a0d-b1f1-898a3cd10303 · inbound

Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree cites this paper.

Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 10

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no resolver link, observed 2026-08-11T13:56:39.596093Z

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source=arxiv_source observed=2026-08-11T13:56:39.596093Z digest=sha256:22859a5f4cd184b7b63b1fa24373bc27e93200c1d8db9a559e66ccc33779b2a4

Observation 1501ea66-001f-4f2c-a1cb-5ea90ea239d7 · inbound

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing cites this paper.

ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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source=arxiv_source observed=2026-08-11T13:47:10.164964Z digest=sha256:1fece39f411d7a5abe94aa6b8970a5d91d7f735bba0a02754e895510db36f2bf

Observation 70d5377f-2ac2-48cb-9dc4-7bc0009de8c8 · inbound

Adaptive Pruning for Large Language Models with Structural Importance Awareness cites this paper.

Adaptive Pruning for Large Language Models with Structural Importance Awareness GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 21

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no resolver link, observed 2026-08-11T11:40:41.546393Z

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source=pdf_text observed=2026-08-11T11:40:41.546393Z digest=sha256:3b8aac6d210e1bde159bc5b57c201d9a09435d7bb1ea8839d83d6e124df27dde

Observation 0388593c-00e9-4650-b8af-f12373fff08c · inbound

Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World cites this paper.

Finger in Camera Speaks Everything: Unconstrained Air-Writing for Real-World GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

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source=pdf_text observed=2026-08-11T00:20:05.350923Z digest=sha256:30727e82694213652ae520a5d8dffe5362b518fa6b8429558913292746b2735d

Observation a6ebadfb-c96e-4b08-8c86-57d014c902bb · inbound

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training cites this paper.

OpenCSG Chinese Corpus: A Series of High-quality Chinese Datasets for LLM Training GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 17

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no resolver link, observed 2026-08-10T20:33:20.572174Z

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Observation 1077cbcc-ec38-4290-ac05-136fc0184203 · inbound

Computational Protein Science in the Era of Large Language Models (LLMs) cites this paper.

Computational Protein Science in the Era of Large Language Models (LLMs) GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 107

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source=pdf_text observed=2026-08-10T19:19:27.955250Z digest=sha256:7dee9796886e671a1d3ccb437a931cea65a302e36cf50165b6a6c133bf29ec48

Observation d139b717-825b-41ef-9386-34aae2436ec8 · inbound

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models cites this paper.

ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 12

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no resolver link, observed 2026-08-10T16:17:31.961086Z

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source=arxiv_source observed=2026-08-10T16:17:31.961086Z digest=sha256:06bac94739ac65d087684fc2ed0d40b6238af76298a6f4202242f65802ae9db5

Observation d34e035d-7bda-4256-a9ef-9dac6d4f1911 · inbound

Complete Chess Games Enable LLM Become A Chess Master cites this paper.

Complete Chess Games Enable LLM Become A Chess Master GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 13

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no resolver link, observed 2026-08-10T14:21:32.824955Z

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source=arxiv_source observed=2026-08-10T14:21:32.824955Z digest=sha256:42d9218bd546585e98172d3d9fcf365fea993084b1a1fb225cf1c93c99c4dc2d

Observation 2a7d2a99-f026-44e4-9807-4b7fbe5b6d33 · inbound

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator cites this paper.

A Tensor-Train Decomposition based Compression of LLMs on Group Vector Systolic Accelerator GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 19

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source=pdf_text observed=2026-08-09T21:18:14.533483Z digest=sha256:69ae87a7857c3c0c139d7f98d1dee278dd05a38bc8fdc6c702913d0191c971d1

Observation 87552633-0579-4ae9-8467-5fc6a44079e4 · inbound

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy cites this paper.

Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

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source=pdf_text observed=2026-08-08T21:59:59.131310Z digest=sha256:bd5a23fe5e881f05eabab3ca085bec0057347c57be0aa597bb478dc0798ccc49

Observation 9fce844a-5f83-4b3e-b875-582be6dd2bcb · inbound

A Comprehensive Review of Protein Language Models cites this paper.

A Comprehensive Review of Protein Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 77

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no resolver link, observed 2026-08-08T18:43:34.269002Z

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source=pdf_text observed=2026-08-08T18:43:34.269002Z digest=sha256:4e1710b49a684a1719497dbeab4cb354ed38bd2829ff4d8fd00379e6cd1bcfc9

Observation 9a255a77-acb0-4288-bba8-2ddfc9be5f11 · inbound

Enabling Autoregressive Models to Fill In Masked Tokens cites this paper.

Enabling Autoregressive Models to Fill In Masked Tokens GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:10:39.711429Z digest=sha256:dfbf69a9dc262b204f2818ee9e145d7ecc0c5328c2c847acdc60fbdfa37454c3

Observation 87cdaa58-7d7e-4314-84f3-c95bf2b3b3f9 · inbound

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration cites this paper.

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

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no resolver link, observed 2026-08-09T00:45:32.768266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:45:32.768266Z digest=sha256:4099dbd8ebcfc4fa279a0316c0c782a97285fd346a45ca6a0ebe55ebca34406a

Observation 85b02caf-4c81-4727-a1fb-69343a4549b7 · inbound

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models cites this paper.

PEFT A2Z: Parameter-Efficient Fine-Tuning Survey for Large Language and Vision Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 150

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no resolver link, observed 2026-08-16T11:59:48.176736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:59:48.176736Z digest=sha256:d54e7ec5742e7e1f68ae420842c84133f59a783187865583b9b0844001c68ec6

Observation b79dc4bc-f48f-4407-877e-c198b5669115 · inbound

Multimodal Perception for Goal-oriented Navigation: A Survey cites this paper.

Multimodal Perception for Goal-oriented Navigation: A Survey GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 144

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no resolver link, observed 2026-08-16T11:23:58.678632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:23:58.678632Z digest=sha256:0ab8a69ce6f636630b095714bdc9891d4c79ec80b31360de86b64958ee048166

Observation bc160f4a-20e8-406f-99c4-ad842558a5e0 · inbound

DenseGrounding: Improving Dense Language-Vision Semantics for Ego-Centric 3D Visual Grounding cites this paper.

DenseGrounding: Improving Dense Language-Vision Semantics for Ego-Centric 3D Visual Grounding GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 16

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unresolved
no resolver link, observed 2026-08-15T23:22:10.894178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:22:10.894178Z digest=sha256:0c10b8b79650a8c85b59546f6c83ec5beb11ce9935eeab99ef617c17d9d5683f

Observation 97232a8e-a675-47bc-b35f-d9101007387d · inbound

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis cites this paper.

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 6

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unresolved
no resolver link, observed 2026-08-15T21:35:40.127700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:35:40.127700Z digest=sha256:23fc564082502a5992788fc7034649c88fac13089c4b9effbcd2dd65bedecf66

Observation 6b189118-284b-4bc1-9418-c7b4886f4fdf · inbound

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training cites this paper.

AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:11.912850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:09:11.912850Z digest=sha256:53fe3f2a0d8e0a1a595a7f1d5f272d95ffe6135dfdded3bf0c0dd341503fd9ec

Observation f34a3591-95b3-4b10-9b4e-d2b3dbe235ee · inbound

ALAS: An Automatic Latent Alignment Score for Audio Language Models cites this paper.

ALAS: An Automatic Latent Alignment Score for Audio Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:22.407437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:22.407437Z digest=sha256:acec475bd2a0acb59621459ca9662b10204b4010f94d9cbe50c76593071aa544

Observation 86ec338a-3e4d-4714-87af-ef129b6f4daa · inbound

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations cites this paper.

EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:59:23.709968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:59:23.709968Z digest=sha256:390e3e2ec0758d189af1118d933931fbb315cd3ce36e513a4d9a276198d1ed03

Observation 1b50d77b-0a30-4f5b-845d-795734fca848 · inbound

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques cites this paper.

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.638733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.638733Z digest=sha256:d0f4710570bfd92a5102b2e5a0fcd812bde0f60f58300689663d0268e8e7f5a7

Observation 8fc69803-8954-4524-9d1b-ecd2ffca4258 · inbound

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation cites this paper.

Improving Factuality for Dialogue Response Generation via Graph-Based Knowledge Augmentation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 8

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unresolved
no resolver link, observed 2026-08-07T00:54:50.590165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:54:50.590165Z digest=sha256:4f0708c686ca823d04f92653c52df96e52e0961ecba4ab27dd0936bee9a841a7

Observation c21edc4c-12b9-433d-8d8a-ee778f72eee5 · inbound

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model cites this paper.

CFBenchmark-MM: Chinese Financial Assistant Benchmark for Multimodal Large Language Model GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 15

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unresolved
no resolver link, observed 2026-08-07T00:40:51.181853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:51.181853Z digest=sha256:3c21610ab360e6e3997b3792de03bf3d8cb5632e34ae369c0a32a04e0c3bbad2

Observation fbd8aa2e-d2d0-4d0f-a92e-f78e75d01d89 · inbound

Pipelined Decoder for Efficient Context-Aware Text Generation cites this paper.

Pipelined Decoder for Efficient Context-Aware Text Generation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T21:49:36.349203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:49:36.349203Z digest=sha256:6f34a5f3dbd3c4f7fcebcde6826a19becc2da3db98b46c9777030ad9888efeda

Observation a330deb1-288b-476f-afc5-a2056ae8a6b8 · inbound

Large Language Model for Extracting Complex Contract Information in Industrial Scenes cites this paper.

Large Language Model for Extracting Complex Contract Information in Industrial Scenes GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 2022

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unresolved
no resolver link, observed 2026-08-06T19:04:59.150177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:04:59.150177Z digest=sha256:6d9609f2642e619dd4e265bca42c9f5a8874bc761068d4801d9582d7203e4b22

Observation 8fef53c5-e5d5-4b98-9de7-582cb720414b · inbound

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric cites this paper.

Inference performance evaluation for LLMs on edge devices with a novel benchmarking framework and metric GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 4

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unresolved
no resolver link, observed 2026-08-05T20:05:55.270317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:05:55.270317Z digest=sha256:20b178e69b423a708e149a143b213018ff26bdb397fa95d420936ee41ebce0fe

Observation 9f66747f-fd68-420f-9172-2e11e84797c6 · inbound

Beyond the Textual: Generating Coherent Visual Options for MCQs cites this paper.

Beyond the Textual: Generating Coherent Visual Options for MCQs GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 16

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unresolved
no resolver link, observed 2026-08-05T16:17:37.592270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:17:37.592270Z digest=sha256:ba12c51131b7981b8ff00c7839044963d5e4ba9fc072843cc181193d22b98603

Observation cddbb34a-d55b-4d0d-93c0-1b3422b1c940 · inbound

AIVA: An AI-based Virtual Companion for Emotion-aware Interaction cites this paper.

AIVA: An AI-based Virtual Companion for Emotion-aware Interaction GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 6

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unresolved
no resolver link, observed 2026-08-15T16:36:51.847215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:36:51.847215Z digest=sha256:668f67354cbc4fef488f521ab0248448652a31d267d97a0694df55291a6c2d39

Observation c2ee59ea-f2ab-4fd4-87ac-6b3b38bb4ad7 · inbound

Constructing a Question-Answering Simulator through the Distillation of LLMs cites this paper.

Constructing a Question-Answering Simulator through the Distillation of LLMs GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 3

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unresolved
no resolver link, observed 2026-08-04T19:32:46.835896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:32:46.835896Z digest=sha256:973e75aa78ce9c99e50c5d99c7a6703e0cb37e8c80dae43fba10f466ea62a312

Observation 56f075c2-df61-4176-9343-c614ea78d39c · inbound

SeLaR: Selective Latent Reasoning in Large Language Models cites this paper.

SeLaR: Selective Latent Reasoning in Large Language Models GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:35:49.846266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T18:27:36.132030Z digest=sha256:8da41a99bd8e7521fa1fd59b42f577d2e809b33cb4b5faa0c53ef2e9d75c384f

Observation 2038cddc-4cba-4caa-9889-b900bd0f879d · inbound

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels cites this paper.

Nautilus: An Auto-Scheduling Tensor Compiler for Efficient Tiled GPU Kernels GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:24:21.488491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T10:21:05.219519Z digest=sha256:02cb653faf5920bc80dbbf46b1e53b395b51161407ce9bdf818deeae1fc280bd

Observation 42d58bbf-0468-4b17-b003-a1c1bf66fe07 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:11.194784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T09:24:27.977204Z digest=sha256:9e8e14219c796f0e7655991a63296d03320dc1cbdeecbf9ec2fa1cfb2035ccb3

Observation 9f4f2771-024b-4a3b-a192-6187edb0aef7 · inbound

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts cites this paper.

PragLocker: Protecting Agent Intellectual Property in Untrusted Deployments via Non-Portable Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-20T23:33:50.542434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T23:32:48.878074Z digest=sha256:4d6c6f57c01451d7c011be5d19f423a996e40633461ef167f3d0b5b1242ee9dd

Observation 1c95eb36-10bc-49d6-aadd-7115f0d7f024 · inbound

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing cites this paper.

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:26:30.221150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-12T02:52:33.076123Z digest=sha256:bbe67f53ec1103bad73b57ebfbd082ee1f5f2ebdf8d8e51ce2b6dd15c80a0bd2

Observation 4787068b-9bbb-47b8-ab4e-e7ae9e99e714 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:29:48.220645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:440f900726e47d460b4f48a0b6016b4c902c18dbe5590cbc748c5e164b63282f

Observation 917eec41-5b12-456a-a0d7-a0a1828968f7 · inbound

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation cites this paper.

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation GLM: General Language Model Pretraining with Autoregressive Blank Infilling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T02:14:09.645560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:14:09.645560Z digest=sha256:e250391da3bb695496da3ebf2080c95db9a80f0e4b4c6df3506c404f6fa53e69